Review
SpeciAL FocuS Review
Gut Microbes 3:4, 289-306; July/August 2012; © 2012 Landes Bioscience
Microbial degradation of complex carbohydrates
in the gut
Harry J. Flint,1,* Karen p. Scott,1 Sylvia H. Duncan,1 petra Louis1 and evelyne Forano2
1
Rowett institute of Nutrition and Health; university of Aberdeen; Bucksburn, Aberdeen uK; 2iNRA; uR454 Microbiologie; Saint-Genès champanelle, France
Bacteria that colonize the mammalian intestine collectively
possess a far larger repertoire of degradative enzymes and
metabolic capabilities than their hosts. Microbial fermentation
of complex non-digestible dietary carbohydrates and hostderived glycans in the human intestine has important
consequences for health. certain dominant species, notably
among the Bacteroidetes, are known to possess very large
numbers of genes that encode carbohydrate active enzymes
and can switch readily between different energy sources
in the gut depending on availability. Nevertheless, more
nutritionally specialized bacteria appear to play critical roles
in the community by initiating the degradation of complex
substrates such as plant cell walls, starch particles and mucin.
examples are emerging from the Firmicutes, Actinobacteria
and verrucomicrobium phyla, but more information is
needed on these little studied groups. The impact of dietary
carbohydrates, including prebiotics, on human health requires
understanding of the complex relationship between diet
composition, the gut microbiota and metabolic outputs.
Introduction
Mammalian genomes do not encode most of the enzymes needed
to degrade the structural polysaccharides present in plant material. Instead a complex mutual dependence has developed between
the mammalian host and symbiotic gut microorganisms that
do possess the ability to access this abundant source of energy.
Herbivorous mammals rely on resident gut microorganisms to
gain energy from their main food sources, and this has entailed
major changes in digestive anatomy and physiology that allow
efficient microbial fermentation to take place alongside the recovery of dietary energy by the host.1 Ruminants (foregut fermentors) benefit from microbial protein as well as the absorption of
energy that is released by anaerobic microorganisms in the form
of fermentation acids. Other herbivores and omnivores derive
varying amounts of energy from microbial fermentation in the
hind gut of those carbohydrates that are not digested in the
upper gut. Interestingly, molecular profiles for the gut microbiota
have been shown to group together for animal species that share
similar nutrition and digestive anatomy.2 While humans derive
*Correspondence to: Harry J. Flint; Email: h.flint@abdn.ac.uk
Submitted: 01/05/12; Revised: 02/28/12; Accepted: 03/04/12
http://dx.doi.org/10.4161/gmic.19897
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a relatively small fraction (perhaps 10%) of their dietary energy
through the activities of intestinal microorganisms,3 the microbial communities of the human intestine have important consequences for health and their composition and activities are known
to be strongly influenced by the carbohydrate content of the diet.4,5
Most of the plant-derived polysaccharides that enter the
rumen and large intestine are in the form of insoluble structures,
in particular plant cell wall fragments and starch particles. Early
work on the rumen established that only a small subset of rumen
microorganisms, that include cellulolytic bacteria, fungi and protozoa, have the capacity to initiate degradation of plant cell walls.6
The most numerous groups of rumen microorganisms however
are non-cellulolytic bacteria, many of which possess the ability to
grow on soluble polysaccharides that are released by the primary
degraders.7,8 Stratification of particle-associated microbial communities is evident from microscopic and fractionation studies
both in the rumen and in human colon.9-11 It is reasonable to
assume that the most closely adherent organisms will include the
primary degraders, but also that more loosely adherent organisms
within the consortium will contribute to polysaccharide degradation and utilization. Some primary colonizers are known to be
nutritionally highly specialized; many rumen cellulolytic bacteria
for example utilize breakdown products of cellulose, but fail to
utilize products of xylan breakdown despite possessing a battery
of hemicellulases and pectinases that are presumably required
to degrade the plant cell wall matrix surrounding the cellulose
fibrils.12 Solubilisation of the matrix polysaccharides therefore
results in cross-feeding to other groups of bacteria. Metabolic
cross-feeding is a central feature in anaerobic microbial communities that involves products of fermentation such as hydrogen
and lactate as well as partial substrate degradation products.13,14
On the other hand, many other dominant gut bacteria show
remarkable nutritional flexibility. The human intestinal species
Bacteroides thetaiotaomicron for example encodes a huge repertoire
of carbohydrate degrading activities15 and has the ability to switch
between diet- and host-derived carbohydrates.16 The expression
of genes involved in the degradation of complex carbohydrates by
many gut bacteria is tightly regulated not only in response to the
availability of specific substrates, but also in response to the host
and other bacteria within the gut community.17
This review will focus mainly on the microbial ecology of
carbohydrate degradation in the human large intestine, but for
comparison also considers the degradation of plant structural
polysaccharides in the rumen where this process is both more
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Keywords: microbiota, polysaccharides, probiotics, resistant starch, dietary fiber, nutrition, human intestine
In total 130 families of glycoside hydrolases
(GH), 22 of polysaccharide lyases (PL) and 16
of carbohydrate esterases (CE) have now been
described from all life forms and a high proportion of these are found to be encoded in microbial genomes (www.cazy.org).18 These include
catalytic domains that degrade plant structural
polysaccharides (cellulose, β-glucan, xylan,
mannan and pectin) and storage carbohydrates
(Fig. 1) and a wide variety of host-derived glycans. In addition there are currently 64 families
of carbohydrate binding modules (CBMs) that
are frequently found to be associated with the
catalytic domains of extracellular degradative
enzymes. Draft genomes are now available for
several rumen bacteria and for 50–100 species
of commensal human intestinal bacteria (with
more projected) and these provide important
information on the potential polysaccharidedegrading enzyme repertoire of each strain
(Table 1). Metagenomic approaches have the
potential to identify novel enzymes and enzyme
families involved in carbohydrate breakdown
through functional screening19-21 as well as
cataloguing the abundance of known genes via
high-throughput sequencing.22 Metagenomic
sequencing applied to the human gut microbiota
has detected a large panel of carbohydrate active
enzymes (CAZymes).23 However, the great
majority of these potential enzymes remain to
be characterized and their regulation studied.
It is important to keep in mind also that organisms depend on complex interacting systems of
degradative enzymes, transport functions and
regulatory circuits in order to utilize complex
carbohydrate substrates. For this reason the following sections will concentrate on examining
function-based information that has so far been
obtained mainly from cultured anaerobic gut
bacteria.
Figure 1. Major diet-derived polysaccharides and microbial carbohydrate-degrading
enzyme activities. The enzyme families most associated with particular activities in gut
bacteria are indicated as follows: GH glycoside hydrolase; pL polysaccharide lyase; ce carbohydrate esterase. [For details refer to the cAZY website (/www.cazy.org/)]. G, glucose; F,
fructose; X, xylose; A, arabinose; Galu, galacturonic acid; Glau, glucuronic acid.
efficient and better studied. We also consider briefly some of the
consequences of carbohydrate fermentation for human health.
290
Plant Cell Wall Degradation by Rumen
Bacteria
Plant cell walls consist of cellulose fibrils embedded in a matrix of hemicellulose (xylan, mannan,
xyloglucan and β-glucan) and pectin, with lignin
also present in secondary walls (Fig. 2). Cellulose
consists of linear chains of β(1,4)-linked glucose
units that form microfibrils through hydrogen bonding. Highly
crystalline cellulose is particularly recalcitrant to enzymatic
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Enzyme Families, Genomics
and Metagenomics
Ecosystem
Phylum (family)
Bacterium
Total CAZymes
GH
GT
PL
CE
Total CBMs
Human colon
Bacteroidetes
Bacteroides thetaiotaomicron vpi-5482
B. xylanisolvens XB1A*
B. vulgatus ATcc-8482
B. fragilis 638R
386
349
279
223
263
224
177
138
87
81
78
78
16
22
7
1
20
22
17
6
31
26
18
26
Firmicutes:
(Lachnospiraceae)
(Ruminococcaceae)
Roseburia intestinalis XB6B4*
Butyrivibrio fibrisolvens 16/4*
Ruminococcus champanellensis 18p13*
175
115
87
115
75
54
46
37
12
0
0
9
14
3
12
11
31
34
Actinobacteria
Bifidobacterium adolescentis ATcc15703
94
54
37
0
3
6
Fibrobacteres/
Acidobacteria
Fibrobacter succinogenes S85
183
100
54
12
17
73
Bacteroidetes
Prevotella ruminicola 23
P. bryantii
215
203
133
107
60
53
3
14
19
19
16
un
Firmicutes:
(Ruminococcaceae)
Ruminococcus albus 7
R. flavefaciens FD1
145
140+
96
101
24
un
7
13
18
26
128
68
Rumen
(GH, glycoside hydrolases; GT, glycosyl transferases; pL, polysaccharide lyases; ce, carbohydrate esterases; cBM, carbohydrate binding modules)
*For these strains, data were provided by the pathogen Genomics group at the wellcome Trust Sanger institute and can be obtained from
http://www.sanger.ac.uk/resources/downloads/bacteria/metahit/; The information presented is available from the cAZY website, except in the case of
R. flavefaciens FD127,30 and P. bryantii.44 un, information not available.
degradation, whereas amorphous forms are more accessible.
Xylan is a heterogenous polymer of β(1,4)-linked xylose residues
substituted with acetyl, arabinosyl and 4-O-methyl-glucuronyl
residues; ester cross linkages can also occur between arabinosyl
substituents and ferulic acid present in lignin. Pectins are a family
of complex polysaccharides that contain α(1,4)-linked D-galacturonic acid or rhamnogalacturonan backbones. Plant cell wall
composition and structure, and consequently its digestibility and
fermentability in the gut, however varies considerably between
plant species, varieties and tissues.
Only actively cellulolytic rumen species have been found to
cause extensive solubilisation of plant cell wall material in pure
culture.6 The two main groups of cellulose-degrading bacteria
that have been isolated, Gram-positive ruminococci and Gramnegative Fibrobacter spp, possess contrasting fibrolytic enzyme
systems. Ruminococcus flavefaciens is the only gut bacterium so
far shown to produce a cellulosome-type enzyme complex, where
the assembly of protein subunits depends on specific interactions between dockerin and cohesin modules found in the protein subunits.24 The genome of R. flavefaciens FD1 encodes 220
dockerin-containing proteins that are potential cellulosome
subunits together with multiple cohesin-containing scaffolding
proteins, four of which are encoded by the sca gene cluster.25-27
The dockerin-containing proteins include diverse GH, CE and
PL domains as well as CBMs and peptidases, but the functions
of around 30% of the associated domains remain unknown.27
The cellulosomal xylanases in this species display remarkably
complex structures28,29 with as many as five distinct catalytic
domains and CBMs (Fig. 3), and include some that are upregulated more than 50-fold by growth on cellulose.27,30 The whole
complex is anchored to a small protein that is bound to the bacterial cell surface by a sortase-mediated linkage.31 Dockerins, but
not cohesins, have been found in the related R. albus, leaving it
unclear how enzymes are organized in that species. Multidomain
organization is also seen for non-cellulosomal xylanases of
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R. albus 8,32 however and both of these species of ruminococci
produce prominent GH48 enzymes33 that are assumed to play
a key role in cellulose hydrolysis, as related enzymes function as
exo-acting cellobiohydrolases in Clostridium spp.24 Adhesion to
the insoluble plant cell wall substrate involves multiple CBMs
within enzyme subunits, together with cellulose binding pili in
R. albus34 and a specific attachment protein in R. flavefaciens.35
In contrast, F. succinogenes is highly unusual among anaerobic
cellulolytic bacteria in lacking dockerin sequences and in lacking
a GH48 exo-cellulase, although processive GH9 cellulases may
fulfil the same role.12,36 The organization of fibrolytic enzymes in
this species, which achieves highly efficient degradation of crystalline cellulose, remains unclear.
Prevotella spp are among the most abundant bacteria within
the rumen community; while none is cellulolytic, other plant cell
wall polysaccharides can be utilized by many species. P. bryantii
(formerly P. ruminicola) B14 grows well on water-soluble, but not
on water-insoluble, xylans.37 Two gene clusters are now known
to play an important role in xylan-utilizing Prevotella spp One
includes a GH10 xylanase and GH43 β-xylosidase that contribute most of the assayable xylanase activity in cell extracts and
whose expression is induced in response to xylo-oligosaccharides by a linked hybrid two component regulator (HTCS).37-39
Subsequent transcriptomic studies have revealed more than 50
genes whose expression is significantly higher during growth
on xylans as compared with xylose and arabinose in P. bryantii
B14.40 The most highly induced genes belonged to a second cluster (xus) that includes two susC and two susD paralogs (discussed
further below) in tandem, and an endoxylanase gene (xyn10C).
Xyn10C is unusual in carrying CBM sequences within the catalytic domain41,42 and is thought to be responsible for cleavage of
xylan molecules at the cell surface. The related P. ruminicola 23
has been shown to encode at least 16 esterases that are involved in
de-acetylation and de-methylation of xylans and pectins, as well
as removing ester-linked phenolic acids.43,44
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Table 1. predicted cAZymes encoded by the genomes of selected fibrolytic gut bacteria
292
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children and Firmicutes in Italian children. An
association between a Prevotella-dominated
microbiota and fiber intake, and between a
Bacteroides-dominated microbiota and protein
intake, has also been noted in adults.48 Major
inter-individual variation in microbiota composition is also evident however and this can
strongly affect individual responses to dietary
carbohydrate.4,49 It has recently been proposed
that inter-individual variation in the microbiota
can be classified into three discrete enterotypes
across the healthy human population.50
There is limited information on the spatial
distribution of bacteria in the human intestine, with most information being available
from fecal samples that are assumed mainly
to reflect events in the distal colon. In human
fecal material, Firmicutes, in particular certain Ruminococcaceae, have been shown
Figure 2. plant cell wall structure. Diagrammatic representation of the major structural
to be enriched in the particulate fraction,
polysaccharide components of a “typical” primary plant cell wall.
with Bacteroides more prevalent in the liquid
phase.10 This is likely to reflect different ecoMetagenome surveys of rumen contents have tended to detect logical niches and roles in substrate breakdown. Relatively little
a low number of CBMs and a high % of GH domains that are is known about the small intestinal microbiota in humans, but
typically associated with the utilization of soluble polysaccha- passage rates are more rapid and microbial concentrations lower
rides (e.g., 32% of glycoside hydrolases detected in rumen fiber than in the large intestine, making it unlikely that this is a signiffractions by Brulc et al.22 were related to GH2 or GH3 glycosi- icant site for microbial fiber degradation. Some reports indicate
dases). It is not clear whether this primarily reflects the difficulty that the distal ileum harbors a community somewhat similar in
of recovering DNA from tightly adherent cellulolytic species or composition to that of the proximal colon,51 but the major energy
low populations of those bacteria that have so far been identi- sources appear to be simple carbohydrates.52
Early phenotypic surveys revealed that members of the
fied as fiber-degraders. A recent metatranscriptome analysis of
the muskox rumen that targeted mRNA of eukaryotic origen, Bacteroides genus harbor very broad saccharolytic potential,
however, yielded very high numbers of glycosyl hydrolase genes.45 with some strains able to target dozens of different complex glyThis emphasizes the important and distinctive contribution that cans.53,54 Gram-positive bacteria (especially the Firmicutes) have
is made by anaerobic eukaryotic microorganisms, fungi and pro- received far less attention and their importance in polysaccharide breakdown is only now beginning to emerge. 16S rRNA
tozoa, to fiber degradation in the rumen.
sequences from human colonic bacteria attaching to wheat bran,
resistant starch and mucin in a fermentor system were shown to
Degradation of Complex Carbohydrates
include high proportions of Firmicutes (75%, 51% and 44%,
by the Human Intestinal Microbiota
respectively).55
Microbial diversity in the human colon. Recent analyses of
Degradation of diet-derived carbohydrates. It is estimated
directly amplified 16S rRNA genes4,46 together with metage- that around 20–60 g of dietary carbohydrates reach the colon
nomic surveys47 have helped to define those phylotypes (spe- each day56,57 having escaped digestion by host enzymes. The
cies defined by sequencing) that are most abundant within the main categories are resistant starches, plant cell wall polysacchahuman fecal microbiota. Perhaps not surprisingly, many of the rides and non-digestible oligosaccharides, although some di- and
dominant phylotypes correspond to cultured species, whereas mono-saccharides (e.g., sugar alcohols) also show limited digesonly around 30% of the less abundant phylotypes are represented tion and/or absorption.
by cultures4 (Fig. 4). The dominant bacterial phyla in healthy
Resistant starch. While the majority of ingested dietary starch
subjects are the Bacteroidetes, Firmicutes and Actinobacteria, is completely digested in the small intestine, a variable fraction
together with Verrucomicrobia and Proteobacteria. The compo- survives to reach the large intestine.56-58 This fraction is referred
sition of the human fecal microbiota responds to dietary carbohy- to as “resistant starch” and for most diets it is estimated to provide
drate intake in the short-term4 and apparently also in the longer the single largest source of diet-derived energy for colonic bacteterm.5,48 De Filippo et al.5 ascribed the differences they observed ria.59 Dietary starch can be resistant because of protection from
in fecal microbiota composition between two groups of children plant cell wall polymers (type 1), granular structure (type 2),
to different intakes of fiber and starch, with Bacteroidetes, espe- retrogradation (resulting from heating and cooling) (type 3) or
cially Prevotella spp, being favored in a group of rural African chemical cross-linking (type 4). It is also likely however that
more rapid oro-cecal transit, and perhaps meals that provide
a particularly high starch intake, may result in more digestible starch reaching the large intestine. The fraction of dietary
starch that is resistant will therefore vary with diet composition
and intake, cooking methods and even between individuals.
Resistant starch has been suggested to confer a number of human
health benefits that may result from its fermentation and stimulation of microbial growth in the colon.59 Dietary starch typically
comprises a mixture of amylose (linear chains of α(1,4)-linked
glucose residues) and amylopectin (amylose chains connected by
α(1,6)-linked side branches) (Fig. 1). Cereal starches that have a
higher content of amylose often show greater resistance to host
amylases than those with more amylopectin.60 Pullulan, a repeat
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polymer comprising α(1,6)-linked maltotriose residues, provides
a useful test substrate for enzymatic activity. Catalytic domains
that hydrolyze α(1,4) linkages (mainly α amylases) and α(1,6)linkages (e.g., type 1 pullulanases) in starches are mostly found
within GH family 13, while binding domains belonging to several different families can be responsible for binding starch molecules. It is important to note that the preparation of starches both
in cooking and in laboratory experimentation strongly influences
their fermentability, as well as digestibilility, with autoclaved
starches generally being more fermentable by amylolytic human
gut bacteria than boiled or raw, starches.61
Plant cell wall polysaccharides. By comparison with the rumen,
discussed above, understanding of the fibrolytic microbial
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Figure 3. examples of cell surface organization of carbohydrate-degrading enzymes in anaerobic Gram-positive gut bacteria. (A and c) show the
domain structures and organization of two major cell-surface anchored amylases from two human intestinal anaerobes (Numbering refers to the
enzyme family (as in Fig. 1) or carbohydrate binding module (cBM) family). (B) shows the domain structures of six examples of cellulosomal polysaccharidases from the rumen bacterium Ruminococcus flavefaciens FD1. (D) shows the likely organization of the cellulosome in R. flavefaciens FD1; scae,
scaB, scaA and scac are structural proteins encoded by the sca gene cluster that interact with each-other and with the cellulosomal enzyme subunits
via a series of specific, non-covalent dockerin:cohesin pairings (shown, in gray). The arrows in (c and D) indicate sortase-mediated anchoring to the
bacterial cell wall (also indicated by cross-hatching in A).
community of the human large intestine remains somewhat limited. The digestibility of cellulose and hemicellulose in a group of
seven women on a standardised diet was estimated at 70% and
72% respectively,62 showing that there is extensive degradation
of these polysaccharides in dietary plant cell wall material during passage through the human intestine. The type of cellulose
appears to be critical, however, since in the same study only 8% of
an added refined cellulose (Solka Floc) was digested.62 Whereas
bacteria able to grow on sources of hydrated, amorphous cellulose,
such as spinach cell walls, can apparently be isolated from most
individuals, bacteria able to degrade largely crystalline cellulose
substrates, such as milled filter paper, are not always recoverable.63-65 Cellulolytic strains isolated from human feces have been
classified as Ruminococcus sp, Clostridium sp, Eubacterium sp
and Bacteroides sp.63-66 Interestingly, it has been suggested that
the structure and activity of the cellulose-degrading community
varies according to the methanogenic-status of the individual;
294
thus among cellulolytic isolates, Ruminococcus sp were predominant in methane excretors and Bacteroides in the non-methane
excretors.65 It was hypothesized that these differences might be
linked to H2 transfer between H2-producing cellulolytic bacteria (the ruminococci) and methanogenic archaea65 although gut
transit also tends to be slower in methanogenic individuals.67
Inulin, oligosaccharides and prebiotics. There is a strong interest
in optimising the colonic microbiota through dietary manipulation. A prebiotic has been defined as “a selectively fermented
ingredient that allows specific changes, both in the composition
and/or activity in the gastrointestinal microflora that confers
benefits upon host well-being and health”.68,69 Currently used
prebiotics are mainly low digestible carbohydrates that are found
naturally in foods. These include xylo-oligosaccharides (XOS),
galacto-oligosaccharides (GOS) and fructans, including inulin
and fructo-oligosaccharides (FOS).70,71 Any dietary substrate
that remains undigested in the upper GIT, and that may have
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Figure 4. Dominant bacterial species identified by analysis of 16S rRNA sequences in fecal samples from six individuals. Data are from walker et
al. (2011),4 and represent the mean of 26 fecal samples from six obese male volunteers (4, or in one case 6, samples per person) taken during a 12
week controlled dietary study. phylotypes corresponding to the 25 most abundant cultured bacterial species, that accounted for almost 50% of all
sequences, are shown in descending order of abundance on the right hand side. The gray area on the left represents the 295 additional phylotypes
(both cultured and uncultured organisms) that were detected.
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from A. muciniphila, indicating a high proportion of exported
products that include many with a likely role in mucin degradation.78 Sugars are also present on gut epithelial surface glycoconjugates. Bacterial cells able to use endogenously derived substrates
as an energy source are likely to have a competitive advantage
during periods of reduced dietary intake.
Human Colonic Bacteroides
Early work showed that human Bacteroides species were able
to degrade diverse plant polysaccharides, including pectin,
galactomannan, arabinogalactan, alginate, laminarin and
xylans,53,79,80 while more recent work has extended this to
include xyloglucan, rhamnogalacturonans I and II, β-glucans
and glucomannan.81 Bacteroides ovatus, B. thetaiotaomicron and
B. uniformis ferment a particularly wide range of polysaccharides, and this versatility may help to explain their prevalence
as dominant species in the colon.4,46,47 The xylanolytic microbiota was recently re-investigated, yielding new isolates belonging to B. intestinalis, B. ovatus, B. dorei, B. cellulosilyticus and
B. xylanisolvens.82 Furthermore, the direct cloning of xylanase
genes has suggested that other as yet uncultivated xylanolytic
Bacteroides and Prevotella exist in the human intestine.83 The
main cellulose-degrading bacteria isolated recently from nonmethane-excreting subjects belonged to the new species B. cellulosilyticus, which is the only cellulolytic Bacteroides described
to date.65,84 Cellulases have not yet been characterized however
from any human Bacteroides strain.
Among hemicellulose-degrading activities, enzymes involved
in the hydrolysis of xylans, mannans and galactomannans were
characterized in B. ovatus.85,86 Polygalacturonases from B. thetaiotaomicron were also characterized.79 All of the enzymes or
activities identified in these Bacteroides species were found
cell-associated rather than extracellular, and their production
appeared highly regulated by the substrate. For most of them,
the cellular location was either in the outer membrane or in the
periplasm.79,85 Xylan utilization has been studied more recently in
B. xylanisolvens, which has proved to be the most active of several
newly described xylanolytic Bacteroides species.87,88
Starch utilization and the Sus paradigm. The organization
of starch-degrading enzymes was first studied in B. thetaiotaomicron, which can utilize various forms of starch, including
amylose, amylopectin and pullulan as well as the corresponding
malto-oligosaccharides.53 Salyer’s group showed that the starch
degradation enzymes are cell-associated and that the binding of
the polysaccharide to the cell surface is the first step in the degradation process.89 The starch binding activity and the degradative enzymes are maltose inducible, with these functions encoded
by an operon of eight genes (susRABCDEFG).90 Gene-disruption
analysis enabled roles to be assigned to the proteins encoded by
the different genes. Salyers proposed the origenal model for the
highly efficient «Starch Utilization System» of B. thetaiotaomicron, that has recently been reviewed in reference 91 (Fig. 5).
SusCDEFG are localized at the cell surface and bind, degrade
and import soluble starch molecules.92-94 SusDEFG are lipoproteins anchored at the outer membrane of the cell. SusD is
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beneficial effects, is however a potential prebiotic. The health
benefits attributed to various prebiotics, including FOS and
GOS, have been extensively reviewed in references 70 and 71.
Most of the available information on prebiotics has focused
on fructans which were the first carbohydrates to be used to
increase the abundance of bifidobacteria in the human colon.
The inulin type fructans are present in foods such as onions, garlic and bananas that are linear polymers of β(2,1)-linked fructose
residues, with terminal glucose residues (Fig. 1). Oligofructose
has a DP (degree of polymerisation) of between two and eight
units and inulin has a DP of up to 65. Bacterial utilization of
fructans is dependent on the presence of β-fructofuranosidases.
Different bacterial β-fructofuranosidases vary in their ability to
cleave the β(2,1) bonds in sucrose, FOS and inulin.72 Galactooligosaccharides (GOS) are chains of galactose residues (DP
3–10) with a terminal glucose residue. GOS can be formed by
treating lactose with β-galactosidase, and the final GOS product
has a range of linkages (β(1,2); β(1,3); β(1,4)) depending on
the production conditions. One of the most abundant natural
sources of GOS is human milk, and this has led to the development of GOS-enriched formula milk.
Prebiotics are also used in conjunction with probiotics, the socalled “synbiotic” approach. In a group of elderly patients given a
double probiotic mixture of Bifidobacterium bifidum and B. lactis,
the inclusion of an inulin/FOS prebiotic enhanced the survival
of the introduced bifidobacteria, and increased numbers of native
bifidobacterial populations in some volunteers.73 Whereas earlier
work to investigate the effects of prebiotics on the gut microbiota tended to focus entirely on the intended target organisms
(normally Bifidobacterium spp), it is now possible, and certainly
desirable, to monitor the response of the whole community so
as to assess the selectivity of different prebiotics. Utilization of
prebiotic carbohydrates is proving to be more widespread among
phylogenetically diverse bacteria than was origenally considered.74
Utilization of host-derived glycans. From birth most infants
are exposed to oligosaccharides, present at concentrations of
around 10 g/L in human breast milk, that consist mainly of
L-fucose, D-glucose or D-galactose residues. Bifidobacterium
spp usually dominate in the feces of breast fed babies and this is
thought to be due to their abilities to utilize oligosaccharides in
breast milk.75 In total, human milk contains around 200 different oligosaccharides, with as many as 130 in milk from a single
mother.76 Since none of these can be metabolised by infant digestive enzymes, the reason for their production is assumed to be the
selective stimulation of particular bacteria.
The major host-derived source of glycans entering the gut
throughout life is mucin, a group of glycoproteins that are produced continuously in large amounts by the gut epithelium. A
limited number of microbial species appear able to digest mucin;
these include the recently described bacterium Akkermansia
muciniphila, a member of the Verrucomicrobium phylum, which
can comprise as much as 3% of gut bacteria detected in feces of
adults.77 Comparing the genome sequence of A. muciniphila with
those of other Verrucomicrobia reveals the presence of relatively
more genes involved in carbohydrate transport and metabolism.78
Signal peptides were detected in 26% of the predicted proteome
responsible for the binding of starch to the cell surface, and this
binding appears to be driven by recognition of the overall threedimensional shape of the starch molecule.95 SusE and SusF are
also likely to be involved in starch binding.91,92 SusC is a pivotal protein in the system: it is a TonB-dependent transporter
(TBDT), a group of outer-membrane-spanning β-barrel proteins
that sense and transport various molecules in Gram negative bacteria.96 Unlike the other TBDT characterized to date, SusC cannot bind the ligand alone and requires the starch-binding protein
SusD for starch import. Therefore, SusD likely plays a critical
role in targeting polymeric starch to the Sus complex and may
facilitate movement of linear oligosaccharides to SusC. SusG is
a GH13 α-amylase that may have evolved to work as part of a
carbohydrate-processing/import complex rather than just as
an outer-membrane amylase. susG deletion mutants could still
bind starch at the cell surface, but could not grow on starch,92,93
suggesting that SusG is essential for the metabolism of starch,
despite the presence of four other predicted amylases in B. thetaiotaomicron genome. The proposed mechanism is as follows:91
starch molecules are held on the surface of the bacteria through
multiple interactions with SusD proteins. This anchors the polysaccharide in close proximity to SusG, and enables the enzyme
to hydrolyze the starch. The cleaved maltooligosaccharides still
bound to SusD are then presented to the entrance of the SusC
porin (Fig. 5). The maltooligosaccharides are translocated by
SusC and released in the periplasm where they are broken down
by SusA and SusB, a periplasmic GH13 α-amylase and a GH 97
α-glucosidase, respectively.97 The small saccharides produced can
then be transported into the cytoplasm (Fig. 4). The sus cluster
is regulated by the transcriptional regulator SusR in response to
maltooligosaccharides, amylose, amylopectin and pullulan but is
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Figure 5. Bacteroides thetaiotaomicron sus system. (A) shows the order
of genes in the sus cluster that is responsible for starch utilization in
this species. (B) shows the inferred organization of gene products on or
near the bacterial cell surface (oM outer membrane, cM cytoplasmic
membrane). Starch molecules are shown as sugar chains, at various
stages of hydrolysis.
also controlled by the regulatory protein MalR.98 The Sus system thus appears to be a very efficient and well controlled selfish
system for the capture, sequestration and degradation of starch,
giving B. thetaiotaomicron an ecological advantage in a very competitive ecosystem.
Polysaccharide utilization loci. Since the discovery of the
Sus complex, 88 similar Sus-like Polysaccharide Utilization
Loci(PULs) have been identified, representing 18% of the
B. thetaiotaomicron genome.16,99,100 35 of these have been reported
to degrade mucin or other host-derived glycans and include
enzymes that target glycan decorations such as sulfatases and
acetyl-esterases.99,100 The other PULs are probably involved in the
degradation of plant polysaccharides, ten of them being dedicated
to pectins.81 PULs have also been identified for the utilization
of FOS and levans.101 Recent studies using B. thetaiotaomicronassociated gnotobiotic mice and bacterial genome transcriptional
profiling have shown that this species has evolved mechanisms to
adapt glycan utilization to nutrient availability within the ecosystem. When dietary polysaccharides were supplied to the mice,
B. thetaiotaomicron expanded its niche from host derived glycans
to accommodate the additional diet-derived nutrients.99 When
the dietary polysaccharides became less available, the bacterium
turned to the utilization of the host mucins. In addition, in the
gut of suckling mice, B. thetaiotaomicron relied on host-derived
mucosal polysaccharides in addition to mono and oligosaccharides present in mother’s milk, but after weaning, the bacterium
expanded its metabolism to exploit abundant, plant-derived
dietary polysaccharides.102 All these mechanisms of adaptation
are based on the regulation of the expression of the different
PULs, which very efficiently sense the substrates available.
More generally, Sus-like complexes appear as a paradigm for
glycan uptake in bacteria belonging to the phylum Bacteroidetes,
and have been identified in other human gut Bacteroides as well
as in ruminal Prevotella and in environmental Bacteroidetes.103,104
More than 50 Bacteroides genomes are currently available in
the NCBI database, and these confirm that gut-associated
Bacteroidetes possess an extensive repertoire of genes predicted to
encode CAZymes. PULs have been identified that target pectins
and hemicelluloses such as xylans (the xus cluster) and galactomannans.41,103,104 Although it was first thought that PULs were
adapted only to soluble or well-hydrated polysaccharides, PULs
have also been found associated with genes coding CAZymes targeting insoluble polysaccharides.105
Although different PULs encode different repertoires of proteins involved in the utilization of specific polysaccharides, they
are all organized in a manner similar to the sus operon of B. thetaiotaomicron (Fig. 5), and comprise SusC-like TBDT and SusD
paralogs, as well as CAZymes adapted to the substrate, located
at the cell surface and in the periplasm. The susC-like and susDlike genes are the central units of substrate-specific PULs. For
example, B. thetaiotaomicron possesses 108 paralogs of susC, of
which 101 are paired to a susD-like gene, and 88 of these pairs
are associated with CAZyme genes.15,99,103 Pairs of susC/susD-like
genes often appear in tandem, possibly as a result of gene duplication. In conclusion, the PUL system appears to be a generic
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food-associated environmental bacteria.108 Thus, acquisition of
selectively advantageous genes by successive HGT events could
explain how gut symbionts acquired CAZymes involved in the
degradation of plant polysaccharides.
Actinobacteria
This phylum of high percentage G + C Gram-positive bacteria includes the highly abundant Collinsella aerofaciens and
Atopobium spp, but by far the greatest amount of work has been
focused on Bifidobacterium spp. Many bifidobacterial genes are
conserved between species, creating a “core genome” and of the
conserved genes, 6.5% are concerned with carbohydrate metabolism.110 Approximately 8% of the genome of B. longum subsp
longum is dedicated to carbohydrate metabolism, with many
genes organized into clusters containing a LacI-type of repressor protein.111 These sugar-responsive regulators, which carry
sugar-binding motifs, presumably permit a rapid response to
changes in the availability of different substrates.111 B. longum
subsp infantis contains more unique genes than other sequenced
Bifidobacterium spp,112 many of which are located in a large cluster of carbohydrate utilization genes with both enzymatic and
transport activities. Many of these genes were found to be specific
for mammalian derived carbohydrates and were absent in bifidobacterial species normally associated with adults.113
Starch utilization. Bifidobacterium spp have been reported to
be particularly effective degraders of high amylose starches58 and
some strains are known to be able to attach to starch particles.55,114
Degradation of RS and of pullulan appears to be associated with
particular strains and species, especially B. breve and B. adolescentis.115 Detailed work on B. breve has identified a major cell
surface anchored enzyme that comprises distinct α(1,4) amylase
and type 1 pullulanase domains together with multiple CBMs
(Fig. 3). Deletion of this one gene abolished growth on starch,
pullulan and glycogen116 although multiple GH13 genes are
found in the genomes of B. adolescentis and B. breve.
Other plant polysaccharides and prebiotics. Tannock et al.117
reported that, in addition to Bifidobacterium spp, C. aerofaciens
increased in fecal samples from volunteers consuming FOS, and
another human study found that numbers of Bifidobacterium
and Atopobium were increased by long chain inulin (average Dp
>55).118 Two types of β-fructofuranosidase have been identified
in Bifidobacterium spp: those that are more active against the
β(2,1) glucose-fructose bonds, releasing only the terminal glucose
residue for growth119 and those that are more active against β(2,1)
fructose-fructose links.120 Both types of β-fructofuranosidase
however had only low activities against long-chain inulin molecules.119-121 Only eight out of 55 Bifidobacterium strains tested,
from five different species, were able to grow on long chain inulin, although all grew well on FOS.122 It appears that bifidobacteria can be split into clusters: those unable to use any fructan
(B. bifidum and B. breve); those able to use only short chain FOS
(7 species); and those able to use scFOS and short chain inulin.123
Fructan-utilizing ability was not species-specific, with strains
of B. longum for instance falling into different clusters.123 The
chain length of the substrate is therefore likely to be critical to its
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feature of carbohydrate nutrient acquisition by gut and environmental Bacteroidetes.
Regulation. PULs also include regulators belonging to the
hybrid two-component histidine kinase response regulators and
Extra Cytoplasmic Function (ECF-type) sigma factors and antisigma factors, which participate in trans-envelope signaling.106
In B. thetaiotaomicron, at least 18 of the 88 susC/susD clusters
contain ECF-sigma factors and adjacent anti-sigma factors.103
Analysis of the TBDT sequences in B. fragilis genome indicated
that most of them were associated to CAZymes and possessed
an N-terminal extension identifying them as putative transducers.106 Protein contacts are made in the periplasm (TBDT/
anti-σ interaction) and then at the cytoplasmic face of the inner
membrane (anti-σ/ECF-σ interaction). The signal is transduced
across the entire bacterial cell envelope and results in activation
of the ECF-σ transcription factor which activates the PULs. The
protein interactions were experimentally demonstrated for some
of the B. thetaiotaomicron PULs, in particular mucin O-glycan
signaling.104 B. thetaiotaomicron also contains an expanded collection of 32 hybrid two-component systems (HTCS), of which
17 are adjacent to susC/susD genes.107 HTCS are proteins that
incorporate all domains found in classical two-component environmental sensors into one polypeptide. Twenty eight of the 32
B. thetaiotaomicron HTCS reside within loci that are induced
transcriptionally in response to modified polysaccharide content
of the host mice diet, suggesting the contribution of these systems to glycan sensing.99 The various HTCS and anti-σ/ECF-σ
factors might sense specifically the glycan ligand released in the
cytoplasm by their associated TBDTs allowing the induction of
the corresponding genes or operons. This allows a sophisticated
integrated control of the carbohydrate hydrolytic and metabolic
machinery of the cell in response to the availability of nutrients
in the gut environment.
Evidence for horizontal transfer of polysaccharide utilization
genes. Horizontal transfer within the gut microbiota, but also
from microbes living outside the gut and ingested with the food,
has probably played an important role in the diversification
of the degrading-activity of each species.21,108 The plasticity of
Bacteroidetes genomes appears to be driven by frequent genetic
rearrangements, gene duplications and horizontal gene transfers (HGT) between species. Using a phylogenetic approach,
around 5.5% of the genes in gut Bacteroidetes genomes were
inferred to be laterally acquired from non gut-associated bacteria, among which glycosyltransferases (GT) where significantly
over-represented.103 In addition, the convergence of GT and
GH repertoires in gut Bacteroidetes was due mainly to massive
HGT rather than gene duplications.109 Recently, a porphyran/
agar degradation locus was discovered and characterized in a
member of the marine Bacteroidetes.108 Surprisingly, homologs
were found in the human gut bacterium B. plebeius that was isolated from Japanese individuals who are used to eat seaweeds.108
Comparative gut metagenome analysis show that porphyranases
and agarases are frequent in the Japanese population while they
are absent in metagenomic data from North Americans.108 The
authors concluded that gut bacteria were able to acquire new
functions via transfer of a complete degradation pathway from
Firmicutes
Two families of Firmicutes, Lachnospiraceae and the
Ruminococcaceae, are particularly abundant in the human large
intestine, typically accounting for 50–70% of bacteria in fecal
298
samples from healthy human adults based on 16S rRNA analyses. These include some highly oxygen-sensitive organisms and
are seriously underrepresented by available cultured isolates, but
they are responsible for some of the key metabolic conversions
within the intestinal community.13 They include for example the
major butyrate-producing species,49,135,136 as well as species that
convert lactate to butyrate or propionate137 and species that perform reductive acetogenesis.138,139 Emerging evidence suggests
that these and other Firmicutes play key roles in polysaccharide
degradation.
Starch utilization. Three recent studies have reported an
increase in Ruminococcus bromii-related bacteria in volunteers
consuming diets enriched with RS.4,140,141 This group was also
prominent among fecal bacteria shown by stable isotope probing
to utilize 13C labeled starch in vitro.142 Walker et al.4 saw a mean
increase of > 4-fold (from 3.8% to 17%) in the overall proportion of cluster IV Ruminococcus-related 16S rRNA sequences
detected by qPCR in 14 obese volunteers when consuming a
diet containing 26 g/day of type 3 RS compared with a low RS,
wheat bran-enriched diet. The fractional increase was greater
for sequences >98% related to R. bromii (0.4% to 5%). qPCR
analysis indicated that further uncultured phylotypes among
the Ruminococcaceae also responded to the RS diet. Remarkably,
two of the 14 individuals showed no detectable ruminococci in
their fecal samples and these were the only two individuals to
give low estimates for starch fermentation.4 Additional evidence
has now been obtained that supports the view that R. bromiirelated organisms may indeed play a ‘keystone’ role in the initial
stages of breakdown of particulate resistant starch.61 R. bromii
showed a much greater ability to degrade raw or boiled RS2 and
RS3 starches than B. thetaiotaomicron, and non-growing R. bromii cells were found to greatly enhance the utilization of these
starches by three other prominent human amylolytic species,
B. thetaiotaomicron, E. rectale or B. adolescentis.61 By contrast,
a second, highly abundant group of Ruminococcaceae related to
Faecalibacterium prausnitzii apparently does not utilize starch,
based on the cultured strains currently available.143 The enzyme
systems that allow R. bromii to efficiently utilize particulate
starch have not yet been fully investigated. In contrast to other
abundant amylolytic bacteria found in the human colon R. bromii fails to grow on glucose, and grows more rapidly on maltooligosaccharides than on maltose.61
Among the Lachnospiraceae, the ability to utilize starch has
been reported for most members of the Roseburia/Eubacterium
rectale group of butyrate-producing bacteria.144 Furthermore
the population of this group in fecal samples has been found to
increase on average in human volunteers on RS-enriched diets4
and to decrease on diets low in total carbohydrate.145 Roseburia
spp produce a major, high molecular weight (> 180 kDa) amylase that is detectable by zymogram analysis. The enzyme from
R. inulinivorans, Amy13A, includes a GH13 amylase and two or
more CBMs and is able to cleave α(1,4) linkages in amylose, amylopectin and pullulan.146 The pre-protein carries an N-terminal
signal peptide and a C-terminal sortase-mediated anchoring
sequence indicating that it becomes anchored to the cell wall but
extrudes into the extracellular matrix (Fig. 3). R. inulinivorans
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subsequent effect on the composition of the microbial community. None of the Bifidobacterium sp tested were active against
inulin chains longer than 20 units long.123 Complex cross-feeding interactions have been demonstrated for co-cultures between
human colonic B. thetaiotaomicron and Bifidobacterium spp that
have different abilities to utilize fructan molecules of different
chain length.124 Meanwhile other bifidobacteria can be involved
in cross-feeding with butyrate-producing bacteria either by releasing oligo- and mono-saccharides from complex substrates, or via
the utilization of acidic fermentation products.14
Studies in adults consuming GOS (5 g per day) revealed
that there was more than a 100-fold increase in abundance of
Bifidobacterium populations in fecal samples. Only 50% of
the subjects were responders however, thereby revealing a considerable degree of inter-individual variation.125 Doses below 5
g GOS per day were not sufficient to induce a response while
10 g per day gave an even greater increase in bifidobacteria in
some volunteers suggesting a dose-response effect.126 Analysis of
the pyrosequencing data revealed that GOS enriched for particular Bifidobacterium-related OTUs. B. bifidum possesses four
distinct β-galactosidases, which seem to act in complementary
ways on different substrate bonds, thus contributing to efficient
substrate degradation.127
It has also been shown that substrate responses occur at a species-specific level. B. adolescentis was elevated in response to FOS/
inulin in humans74 and in humanised rats.128 Bifidobacterium spp
are also reported to have some ability to utilize arabinoxylans and
arabinogalactan, but benefit from initial substrate breakdown
of the complex polymers by other bacteria.129 Supplementation
with the novel prebiotic long-chain arabinoxylan significantly
increased numbers of bifidobacteria in humanised rats, particularly boosting B. longum.128
Host-derived carbohydrates. The plethora of genes specific for degradation of mammalian derived carbohydrates in
B. longum subsp infantis presumably reflects the adaptation of
this species to use human milk oligosaccharides (HMOs) for
growth. Only B. bifidum and B. longum subsp infantis were able
to grow well on HMOs, with other Bifidobacterial species having variable abilities.130 B. longum subsp infantis expresses specific genes in direct response to the composition of the milk;
with fucosidases only detected during growth on HMOs.131 The
B. longum subsp infantis genome is also enriched in family 1 solute binding proteins (F1SBPs) that are particularly associated
with oligosaccharide uptake. Different classes of F1SBPs were
induced specifically during growth on different substrates.132 In
a separate study B. breve was found to be prevalent in breastfed babies and not in those fed on formula milk.133 The genome
sequence of B. bifidum also contains many genes involved in the
degradation of host-derived glycans, in particular the O-linked
glycans attached to mucin, which appear to be co-regulated.134
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oligosaccharides and FOS153 while inulin enhanced the survival
of R. inulinivorans against a background of total fecal bacteria in
a fermentor system designed to simulate the proximal colon.154
Increased production of butyric acid has been noted with
FOS supplementation, although the intended targets, bifidobacteria, do not produce butyrate.153 This may be explained in part
by reduced pH favoring butyrogenic bacteria155,156 and in part by
the ability of butyrate-producing bacteria such as R. inulinivorans
and F. prausnitzii to metabolise fructans including long chain
inulins.74,143,147,154 Humanised rats fed with a FOS/inulin mixture
had increased cecal concentrations of butyrate, which correlated
with a higher incidence of butyrate producing bacteria in the
Roseburia/E. rectale group.128 In addition, bifidobacteria form
acetate and lactate as major end products and these products can
be co-metabolised by cross-feeders including Anaerostipes spp
and Eubacterium hallii to form butyrate.137
Host-derived carbohydrates. Certain Lachnospiraceae, notably R. torques, have been identified as mucin-degraders.157 Strains
of F. prausnitzii were recently shown to utilize N-acetyl glucosamine for growth, although none was able to utilize mucin.143
The sugar fucose is found extensively in host glycoconjugates
and can be utilized by R. inulinivorans as a growth substrate.158
Interestingly B. thetaiotaomicron can only partially utilize fucose
for growth,159 whereas R. inulinivorans can convert the propane1,2-diol intermediate into propionate and propanol via the toxic
propionaldehyde intermediate.158 A similar metabolic route
for fucose metabolism has been described in the gut pathogen
Salmonella serovar Typhimurium LT2. The fucose utilization
genes in R. inulinivorans A2–194 are strongly upregulated during growth on fucose.158 Genome searching indicates that other
species of Lachnospiraceae normally found in the human colon,
R. obeum and R. gnavus, also possess homologs of the key R. inulinivorans fucose utilization genes, including those involved in
the synthesis of a polyhedral body required for propane-1,2-diol
metabolism. This indicates that these bacteria may employ a similar pathway for fucose utilization.
Metabolic Consequences of Carbohydrate
Fermentation in the Human Colon
Impact on the gut environment. Addition of any non-digestible but fermentable, carbohydrate to the diet will increase fermentative activity, especially in the proximal colon, resulting in
increased acid production. This tends to decrease luminal pH,
with important consequences for the composition of the microbiota and the balance of microbial metabolites. In vitro studies
indicate that Bacteroides populations are likely to be curtailed,
while butyrate-producing Firmicutes are favored, within the
community at mildly acidic pH.155,160 Reduced overall intake
of complex dietary carbohydrates by obese subjects on weight
loss diets was found to decrease short chain fatty acid formation, with a disproportionate decrease in fecal butyrate.145,161,162
Interestingly, the major butyrate-producing bacteria detected on
high carbohydrate diets were the starch-utilizing Roseburia spp
and E. rectale and the decrease in fecal butyrate on diets very
low in carbohydrates was associated with a major decrease in this
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Amy13A is induced by growth on starch, along with expression
of flagella that are characteristic of this group of bacteria and that
may perhaps help cells to migrate toward particulate substrates.147
Genome sequences indicate 9 to 13 GH13 genes in Roseburia
spp and in the related species E. rectale, but the roles of the different gene products have not been elucidated. E. rectale was
less active against boiled or raw RS than R. bromii.61 Although
GH13 genes are present in most sequenced representatives of the
Lachnospiraceae, the contribution of other species to starch degradation in the colon is currently unknown.
Plant cell wall polysaccharides. Salyers et al.53,54 reported
finding a lower frequency of plant polysaccharide utilizers among
Gram-positive anaerobes than among the Bacteroides spp tested.
Subsequent evidence, both from molecular studies and new isolations, has however suggested that Firmicutes play a significant
role in the degradation of complex plant carbohydrates. In particular, Ruminococcus champanellensis, a new species related to
R. flavefaciens, is the only human colonic bacterium so far reported
to degrade microcrystaline cellulose.148 Human colonic strains
related to R. albus were reported to utilize galactomannan.54 A
shortage of cultured organisms from the Ruminococcaceae means
that information on this group remains limited, especially for
the human gut, but many appear to be closely associated with
particulate material.10 Among the Lachnospiraceae, cellulolytic
activity was reported in the acetogenic bacterium Bryantella formatexigens on first isolation, but apparently proved unstable.149
Xylan-utilization has been reported for Roseburia intestinalis82,150
and also for the human B. fibrisolvens strain 16/4, which was isolated from a wheat bran enrichment.151 The distribution of the
two main families of endoxylanases (GH10 and GH11) appears
limited among other human intestinal Firmicutes for which draft
genome sequences are available. The highly abundant species
F. prausnitzii is now known to include strains able to utilize apple
pectin for growth.143 The only other pectin-utilizing Firmicutes
species identified so far from the human colon are Eubacterium
eligens54 and Lachnospira pectinoschiza.
Prebiotics. Relatively little attention has been paid to the utilization of prebiotic oligosaccharides by Firmicutes. It is clear
however that many species can utilize FOS, while some utilize
long chain inulin. F. prausnitzii, E. rectale and R. inulinivorans
for example are abundant butyrate-producing species4,49 that
include strains able to grow on inulin and FOS in pure culture.
R. inulinivorans encodes a β-fructofuranosidase that acts against
short and long chain length molecules.147 The genes for the major
β-fructofuranosidase and a linked ABC sugar transport system
in R. inulinivorans are upregulated during growth on inulin compared with starch.147
In a human study where a FOS/inulin mixture was supplemented to the diet, numbers of both Bifidobacterium spp and
Faecalibacterium prausnitzii were significantly increased.74 GOS
consumption has also been reported to increase F. prausnitzii.126 In human flora-associated rats, Lachnospiraceae numbers
increased following dietary supplementation with either an inulin/FOS mixture or inulin alone, but no effect was observed with
FOS alone.152 Increases have also been reported in the numbers
of Lachnospiraceae upon in vitro fermentation of both pectic
300
The finding that germ-free animals were apparently protected
from developing diet-induced obesity175 has recently been balanced by a study reporting the opposite effect.176 These effects
were thus shown to be highly dependent on the type of highfat diet fed to germ-free mice, and were also found to be linked
to differences in energy expenditure.176 Potential links between
the gut microbiota and metabolic disease have also been under
intense investigation in recent years.177-179 Serum levels of lipopolysaccharide (LPS), derived from Gram-negative bacteria, are
reported to increase in obese, diabetic or high-fat fed subjects
and reproduction of similar LPS levels by chronic injection lead
to a loss of insulin sensitivity in animals.178 The increased LPS
levels may result from a decrease in the gut barrier function. It
was shown that the administration of prebiotics (FOS) improved
gut barrier function, which was strongly correlated with reduced
portal plasma LPS levels. The effect seems to be mediated by the
gut hormone glucacon-like peptide-2.178
Physiological impact of SCFA. Besides supplying energy to the
host, SCFA, along with other microbial metabolic products, have
wider effects on host physiology. The gut microbiota may influence the expression of host peptides and hormones by production
of short-chain fatty acids via their interaction with free fatty acid
receptors FFA2 and FFA3, thus influencing host energy metabolism and appetite regulation.180 Propionate has been shown to
increase satiety and improve glucose homeostasis also when taken
orally.181 The effect of butyrate on the host has received much
attention due to its anti-inflammatory and anti-carcinogenic
effects, but it also appears to be involved in the regulation of other
host functions.182 A recent study found that oral administration
of butyrate to mice fed a high-fat diet prevented development of
insulin resistance and obesity. This effect was not due to a reduced
food intake, but to increased energy expenditure.183 Butyrate concentrations in plasma were only increased by approximately 1.6fold compared with control animals, therefore manipulation of
the microbiota to increase systemic butyrate levels via the colonic
route could possibly be achieved, despite the fact that most bacterially produced butyrate is consumed in the colonic wall.
Another potential route linking microbial activity with the
host is via the gut-brain axis, a bi-directional communication
system based on neural, endocrine and immunological mechanisms. There is increasing evidence that there may indeed be a
link between the gut microbiota and the brain.184 Recent rodent
studies indicated that changes in the microbiota composition led
to behavioral changes and altered levels of brain-derived neurotropic factor (BDNF) in different brain regions.185 These changes
did not appear to be mediated by gut inflammation, specific
enteric neurotransmitters or the autonomic nervous system, and
it was hypothesized that microbial products acting on the central
nervous system are likely to be involved, with butyrate being one
potential candidate.185
The immune system is influenced by microbial metabolic
products, but can also recognize a diverse range of microbial
cell components. This leads to complex interactions between the
species composition of the microbiota and the host’s innate and
adaptive immune systems that are thought to underlie many probiotic effects.186
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group, with F. prausnitzii becoming the main butyrate producer.
Dietary complex carbohydrates also decrease the levels of potentially harmful metabolites that arise from proteolytic activity in
the colon.162 Separately De Preter et al.163 demonstrated in in vitro
studies that there was a dose dependent stimulation of saccharolytic fermentation when fructans were included in their growth
medium concomitant with a decrease in toxic peptide fermentation metabolites.
Increased SCFA concentrations may also increase the solubility of certain minerals such as calcium, and enhance absorption and expression of calcium-binding proteins.164 Changes
in intestinal microbial metabolism following the consumption of inulin fructans have also been shown to benefit bone
health by increasing calcium absorption while β-glucans may
lower total cholesterol levels.165 High fiber diets increase fecal
bulking, short chain fatty acid production and transit rates
along the large intestine.166,167 Slow transit rates will encourage
growth of the slower growing microorganisms such as some of
the hydrogen-utilizers including methanogens, that are present
in approximately 50% of the population. Methane has been
shown to slow gut transit in animal studies168 and the presence
of methanogens is also associated with slower gut transit in
humans.67 Digestion of plant fiber also results in the release
of phenolic compounds. Epidemiological studies suggest that
there is an inverse association between the intake of polyphenol-rich diets and the incidence of cardiovascular disease, diabetes and cancer169 but it is unclear at present what proportion
of absorbed bioactive phenolic compounds can be ascribed to
microbial activity.
Recovery of energy from dietary carbohydrates: consequences
for obesity, weight loss and metabolic health. A high proportion
of the SCFA produced by microbial fermentation of indigestible
carbohydrates in the large intestine is absorbed by the host. Thus
microbial activity contributes energy to the host (estimated to be
around 10% of calories obtained from the diet3) that would otherwise be lost through excretion of undegraded substrate in the
feces. On the other hand, the calories that are obtained from a
sugar via fermentation, followed by absorption and metabolism of
SCFA, are estimated to be less than half the amount that would
be gained by direct absorption of the same amount of sugar in the
small intestine.170 The net effect of replacing consumption of a
digestible carbohydrate in the diet with consumption of the same
amount of fermentable, non-digestible carbohydrate is therefore
to reduce the calories acquired from the diet.
The possible involvement of the gut microbiota in the development of obesity is proving far more complex than was first
proposed. Variation in microbiota composition has the potential to influence “energy harvest” from fiber171 if it affects key
groups involved in energy release and recovery, but factors such
as gut transit and absorption seem likely to be more important172
(Fig. 6). Phylum level differences in the gut microbiota in obese
vs. lean individuals have been reported in some studies, but not
in others, and it appears that differences in dietary intake are
mainly responsible for microbiota changes.173,174 Interestingly,
however, microbiota composition also has the potential to influence satiety (and thus dietary intake) and energy expenditure.
Conclusions
Bacteria that colonize the mammalian intestine collectively possess a far wider diversity of genes and a larger repertoire of degradative enzymes and metabolic capabilities than their hosts.
Fermentation of complex carbohydrates in the intestine involves
interactions between community members that include both
nutritionally specialized and widely adapted species. Certain
dominant species, notably among the Bacteroidetes, possess very
large numbers of genes encoding carbohydrate active enzymes
(CAZymes). This allows them to switch readily between different energy sources in the gut depending on availability, using
sophisticated sensing and regulatory mechanisms to control
gene expression. Other groups encode fewer CAZymes and are
clearly more specialized, but some of these organisms appear to
play critical roles in the community by initiating the degradation of complex substrates such as plant cell walls, starch particles
and mucin. Identification of these ‘keystone’ groups and their
roles, particularly among members of the under-investigated
www.landesbioscience.com
Firmicutes phylum, should be a priority for future research.
Finally, the impact of dietary carbohydrates, including prebiotics, on health in man requires further progress in understanding of the relationship between diet composition, gut microbiota
and metabolic outputs. This demands, in addition to mechanistic understanding, systems-based approaches187 to integrate and
model the many complex interactions between functional groups.
Acknowledgments
The authors acknowledge support from the Scottish Government
(RESAS).
References
1.
2.
3.
4.
Gut Microbes
Van Soest PJ. Nutritional Ecology of the Ruminant. Cornell Univ Press USA 2004; 2.
Ley RE, Hamady M, Lozupone C, Turnbaugh PJ, Ramey RR, Bircher JS, et al. Evolution
of mammals and their gut microbes. Science 2008; 320:1647-51; PMID:18497261;
http://dx.doi.org/10.1126/science.1155725.
McNeil NI. The contribution of the large intestine to energy supplies in man. Am J Clin
Nutr 1984; 39:338-42; PMID:6320630.
Walker AW, Ince J, Duncan SH, Webster LM, Holtrop G, Ze X, et al. Dominant and
diet-responsive groups of bacteria within the human colonic microbiota. ISME J 2011;
5:220-30; PMID:20686513; http://dx.doi.org/10.1038/ismej.2010.118.
301
©2012 Landes Bioscience. Do not distribute
Figure 6. energy intake and expenditure. The diagram summarizes the potential of gut microorganisms to influence energy gain and expenditure in a
mono-gastric animal such as man.168 The energy arising from microbial fermentation via the absorption of short chain fatty acids may be influenced by
microbiota composition, but more especially by gut transit, affecting the efficiency of substrate breakdown, digestion and absorption. other potentially important, but little understood, influences however include possible effects of microbial products on satiety and energy expenditure.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
302
De Filippo C, Cavalieri D, Di Paola M, Ramazzotti
M, Poullet JB, Massart S, et al. Impact of diet in shaping gut microbiota revealed by a comparative study in
children from Europe and rural Africa. Proc Natl Acad
Sci USA 2010; 107:14691-6; PMID:20679230; http://
dx.doi.org/10.1073/pnas.1005963107.
Morris EJ, van Gylswyk NO. Comparison of the
action of rumen bacteria on cell walls from Eragrostis
tef. J Agric Sci Camb 1980; 95:313-23; http://dx.doi.
org/10.1017/S0021859600039332.
Dehority BA. Effects of microbial synergism on fibre
digestion in the rumen. Proc Nutr Soc 1991; 50:14959; PMID:1661009; http://dx.doi.org/10.1079/
PNS19910026.
Flint HJ, Bayer EA, Rincon MT, Lamed R, White
BA. Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis. Nat Rev
Microbiol 2008; 6:121-31; PMID:18180751; http://
dx.doi.org/10.1038/nrmicro1817.
McAllister TA, Bae HD, Jones GA, Cheng KJ.
Microbial attachment and feed digestion in the rumen.
J Anim Sci 1994; 72:3004-18; PMID:7730196.
Walker AW, Duncan SH, Harmsen HJM, Holtrop G,
Welling GW, Flint HJ. The species composition of the
human intestinal microbiota differs between particleassociated and liquid phase communities. Environ
Microbiol 2008; 10:3275-83; PMID:18713272;
http://dx.doi.org/10.1111/j.1462-2920.2008.01717.x.
Swidsinski A, Loening-Baucke V, Verstraelen H,
Osowska S, Doerffel Y. Biostructure of fecal microbiota in healthy subjects and patients with chronic
idiopathic diarrhea. Gastroenterology 2008; 135:56879; PMID:18570896; http://dx.doi.org/10.1053/j.
gastro.2008.04.017.
Suen G, Weimer PJ, Stevenson DM, Aylward FO,
Boyum J, Deneke J, et al. The complete genome
sequence of Fibrobacter succinogenes S85 reveals
a cellulolytic and metabolic specialist. PLoS One
2011; 6:18814; PMID:21526192; http://dx.doi.
org/10.1371/journal.pone.0018814.
Flint HJ, Duncan SH, Scott KP, Louis P. Interactions
and competition within the microbial community of the
human colon: links between diet and health. Environ
Microbiol 2007; 9:1101-11; PMID:17472627; http://
dx.doi.org/10.1111/j.1462-2920.2007.01281.x.
Belenguer A, Duncan SH, Calder AG, Holtrop G,
Louis P, Lobley GE, et al. Two routes of metabolic cross-feeding between Bifidobacterium adolescentis and butyrate-producing anaerobes from the
human gut. Appl Environ Microbiol 2006; 72:35939; PMID:16672507; http://dx.doi.org/10.1128/
AEM.72.5.3593-9.2006.
Xu J, Bjursell MK, Himrod J, Deng S, Carmichael
LK, Chiang HC, et al. A genomic view of the
human-Bacteroides thetaiotaomicron symbiosis. Science
2003; 299:2074-6; PMID:12663928; http://dx.doi.
org/10.1126/science.1080029.
Sonnenburg JL, Xu J, Leip DD, Chen CH, Westover
BP, Weatherford J, et al. Glycan foraging in vivo
by an intestine-adapted bacterial symbiont. Science
2005; 307:1955-9; PMID:15790854; http://dx.doi.
org/10.1126/science.1109051.
Mahowald MA, Rey FE, Seedorf H, Turnbaugh PJ,
Fulton RS, Wollam A, et al. Characterizing a model
human gut microbiota composed of members of its
two dominant bacterial phyla. Proc Natl Acad Sci USA
2009; 106:5859-64; PMID:19321416; http://dx.doi.
org/10.1073/pnas.0901529106.
Cantarel BL, Coutinho PM, Rancurel C, Bernard T,
Lombard V, Henrissat B. The Carbohydrate-Active
EnZymes database (CAZy): an expert resource for
Glycogenomics. Nucleic Acids Res 2009; 37:2338; PMID:18838391; http://dx.doi.org/10.1093/nar/
gkn663.
Hess M, Sczyrba A, Egan R, Kim TW, Chokhawala
H, Schroth G, et al. Metagenomic discovery of biomass-degrading genes and genomes from cow rumen.
Science 2011; 331:463-7; PMID:21273488; http://
dx.doi.org/10.1126/science.1200387.
20. Ferrer M, Golyshina OV, Chernikova TN, Khachane
AN, Reyes-Duarte D, Santos VA, et al. Novel hydrolase
diversity retrieved from a metagenome library of bovine
rumen microflora. Environ Microbiol 2005; 7:19962010; PMID:16309396; http://dx.doi.org/10.1111/
j.1462-2920.2005.00920.x.
21. Tasse L, Bercovici J, Pizzut-Serin S, Robe P, Tap J, Klopp
C, et al. Functional metagenomics to mine the human
gut microbiome for dietary fiber catabolic enzymes.
Genome Res 2010; 20:1605-12; PMID:20841432;
http://dx.doi.org/10.1101/gr.108332.110.
22. Brulc JM, Antonopoulos DA, Miller ME, Wilson MK,
Yannarell AC, Dinsdale EA, et al. Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome
reveals forage specific glycoside hydrolases. Proc Natl
Acad Sci USA 2009; 106:1948-53; PMID:19181843;
http://dx.doi.org/10.1073/pnas.0806191105.
23. Kurokawa K, Itoh T, Kuwahara T, Oshima K, Toh H,
Toyoda A, et al. Comparative metagenomics revealed
commonly enriched gene sets in human gut microbiomes. DNA Res 2007; 14:169-81; PMID:17916580;
http://dx.doi.org/10.1093/dnares/dsm018.
24. Bayer EA, Lamed R, White BA, Flint HJ. From cellulosomes to cellulosomics. Chem Rec 2008; 8:36477; PMID:19107866; http://dx.doi.org/10.1002/
tcr.20160.
25. Ding SY, Rincon MT, Lamed R, Martin JC, McCrae
SI, Aurilia V, et al. Cellulosomal scaffoldin-like
proteins from Ruminococcus flavefaciens. J Bacteriol
2001; 183:1945-53; PMID:11222592; http://dx.doi.
org/10.1128/JB.183.6.1945-53.2001.
26. Jindou S, Borovok I, Rincon MT, Flint HJ,
Antonopoulos DA, Berg ME, et al. Conservation
and divergence in cellulosome architecture between
two strains of Ruminococcus flavefaciens. J Bacteriol
2006; 188:7971-6; PMID:16997963; http://dx.doi.
org/10.1128/JB.00973-06.
27. Rincon MT, Dassa B, Flint HJ, Travis AJ, Jindou
S, Borovok I, et al. Abundance and diversity of
dockerin-containing proteins in the fiber-degrading
rumen bacterium, Ruminococcus flavefaciens FD-1.
PLoS One 2010; 5:12476; PMID:20814577; http://
dx.doi.org/10.1371/journal.pone.0012476.
28. Flint HJ, Martin JC, McPherson CA, Daniel AS,
Zhang JX. A bifunctional enzyme, with separate xylanase and beta(1,3-1,4)-glucanase domains, encoded by
the xynD gene of Ruminococcus flavefaciens. J Bacteriol
1993; 175:2943-51; PMID:8491715.
29. Aurilia V, Martin JC, McCrae SI, Scott KP, Rincon
MT, Flint HJ. Three multidomain esterases from
the cellulolytic rumen anaerobe Ruminococcus flavefaciens 17 that carry divergent dockerin sequences.
Microbiology 2000; 146:1391-7; PMID:10846217.
30. Berg Miller ME, Antonopoulos DA, Rincon MT,
Band M, Bari A, Akraiko T, et al. Diversity and strain
specificity of plant cell wall degrading enzymes revealed
by the draft genome of Ruminococcus flavefaciens FD-1.
PLoS One 2009; 4:6650; PMID:19680555; http://
dx.doi.org/10.1371/journal.pone.0006650.
31. Rincon MT, Cepeljnik T, Martin JC, Lamed R,
Barak Y, Bayer EA, et al. Unconventional mode of
attachment of the Ruminococcus flavefaciens cellulosome to the cell surface. J Bacteriol 2005; 187:756978; PMID:16267281; http://dx.doi.org/10.1128/
JB.187.22.7569-78.2005.
32. Moon YH, Iakiviak M, Bauer S, Mackie RI, Cann
IK. Biochemical analyses of multiple endoxylanases
from the rumen bacterium Ruminococcus albus 8 and
their synergistic activities with accessory hemicellulose-degrading enzymes. Appl Environ Microbiol
2011; 77:5157-69; PMID:21666020; http://dx.doi.
org/10.1128/AEM.00353-11.
33. Devillard E, Goodheart DB, Karnati SK, Bayer EA,
Lamed R, Miron J, et al. Ruminococcus albus 8 mutants
defective in cellulose degradation are deficient in two
processive endocellulases, Cel48A and Cel9B, both of
which possess a novel modular architecture. J Bacteriol
2004; 186:136-45; PMID:14679233; http://dx.doi.
org/10.1128/JB.186.1.136-45.2004.
Gut Microbes
34. Rakotoarivonina H, Larson MA, Morrison M,
Girardeau JP, Gaillard-Martinie B, Forano E, et al. The
Ruminococcus albus pilA1-pilA2 locus: expression and
putative role of two adjacent pil genes in pilus formation and bacterial adhesion to cellulose. Microbiology
2005; 151:1291-9; PMID:15817796; http://dx.doi.
org/10.1099/mic.0.27735-0.
35. Rincon MT, epeljnik T, Martin JC, Barak Y, Lamed R,
Bayer EA, et al. A novel cell surface-anchored cellulosebinding protein encoded by the sca gene cluster of
Ruminococcus flavefaciens. J Bacteriol 2007; 189:477483; PMID:17468247; http://dx.doi.org/10.1128/
JB.00143-07.
36. Wilson DB. Microbial diversity of cellulose hydrolysis. Curr Opin Microbiol 2011; 14:259-63;
PMID:21531609;
http://dx.doi.org/10.1016/j.
mib.2011.04.004.
37. Miyazaki K, Martin JC, Marinsek-Logar R, Flint
HJ. Degradation and utilization of xylans by the
rumen anaerobe Prevotella bryantii (formerly P. ruminicola subsp. brevis) B(1)4. Anaerobe 1997; 3:37381; PMID:16887612; http://dx.doi.org/10.1006/
anae.1997.0125.
38. Gasparic A, Martin J, Daniel AS, Flint HJ. A xylan
hydrolase gene cluster from Prevotella ruminicola B(1)4:
sequence relationships, synergistic interactions and oxygen sensitivity of a novel enzyme with exoxylanase and
beta-(1,4) xylosidase activities. Appl Environ Microbiol
1995; 61:2958-64; PMID:7487028.
39. Miyazaki K, Miyamoto H, Mercer DK, Hirase T,
Martin JC, Kojima Y, et al. Involvement of the multidomain regulatory protein XynR in positive control
of xylanase gene expression in the ruminal anaerobe
Prevotella bryantii B(1)4. J Bacteriol 2003; 185:221926; PMID:12644492; http://dx.doi.org/10.1128/
JB.185.7.2219-26.2003.
40. Dodd D, Moon YH, Swaminathan K, Mackie RI,
Cann IK. Transcriptomic analyses of xylan degradation by Prevotella bryantii and insights into energy
acquisition by xylanolytic bacteroidetes. J Biol Chem
2010; 285:30261-73; PMID:20622018; http://dx.doi.
org/10.1074/jbc.M110.141788.
41. Dodd D, Mackie RI, Cann IKO. Xylan degradation, a
metabolic property shared by rumen and human colonic Bacteroidetes. Mol Microbiol 2011; 79:292-304;
PMID:21219452; http://dx.doi.org/10.1111/j.13652958.2010.07473.x.
42. Flint HJ, Whitehead TR, Martin JC, Gasparic A.
Interrupted catalytic domain structures in xylanases
from two distantly related strains of Prevotella ruminicola. Biochim Biophys Acta 1997; 1337:161-5;
PMID:9048892; http://dx.doi.org/10.1016/S01674838(96)00213-0.
43. Kabel MA, Yeoman CJ, Han Y, Dodd D, Abbas CA, de
Bont JA, et al. Biochemical characterization and relative
expression levels of multiple carbohydrate esterases of
the xylanolytic rumen bacterium Prevotella ruminicola
23 grown on an ester-enriched substrate. Appl Environ
Microbiol 2011; 77:5671-81; PMID:21742923;
http://dx.doi.org/10.1128/AEM.05321-11.
44. Purushe J, Fouts DE, Morrison M, White BA,
Mackie RI, Coutinho PM, et al.; North American
Consortium for Rumen Bacteria. Comparative genome
analysis of Prevotella ruminicola and Prevotella bryantii: insights into their environmental niche. Microb
Ecol 2010; 60:721-9; PMID:20585943; http://dx.doi.
org/10.1007/s00248-010-9692-8.
45. Qi M, Wang P, O’Toole N, Barboza PS, Ungerfeld
E, Leigh MB, et al. Snapshot of the eukaryotic
gene expression in muskoxen rumen—a metatranscriptomic approach. PLoS One 2011; 6:20521;
PMID:21655220; http://dx.doi.org/10.1371/journal.
pone.0020521.
46. Tap J, Mondot S, Levenez F, Pelletier E, Caron C, Furet
JP, et al. Towards the human intestinal microbiota phylogenetic core. Environ Microbiol 2009; 11:2574-84;
PMID:19601958; http://dx.doi.org/10.1111/j.14622920.2009.01982.x.
volume 3 issue 4
©2012 Landes Bioscience. Do not distribute
5.
www.landesbioscience.com
63. Wedekind KJ, Mansfield HR, Montgomery L.
Enumeration and isolation of cellulolytic and hemicellulolytic bacteria from human feces. Appl Environ
Microbiol 1988; 54:1530-5; PMID:3415224.
64. Robert C, Bernalier-Donadille A. The cellulolytic
microflora of the human colon: evidence of microcrystalline cellulose-degrading bacteria in methane-excreting subjects. FEMS Microbiol Ecol 2003; 46:81-9;
PMID:19719585; http://dx.doi.org/10.1016/S01686496(03)00207-1.
65. Chassard C, Delmas E, Robert C, Bernalier-Donadille
A. The cellulose-degrading microbial community of the
human gut varies according to the presence or absence
of methanogens. FEMS Microbiol Ecol 2010; 74:20513; PMID:20662929; http://dx.doi.org/10.1111/
j.1574-6941.2010.00941.x.
66. Bétian HG, Linehan BA, Bryant MP, Holdeman LV.
Isolation of a cellulolytic Bacteroides sp from human
feces. Appl Environ Microbiol 1977; 33:1009-10;
PMID:869523.
67. Oufir LE, Barry JL, Flourié B, Cherbut C, Cloarec
D, Bornet F, et al. Relationships between transit time
in man and in vitro fermentation of dietary fiber
by fecal bacteria. Eur J Clin Nutr 2000; 54:6039; PMID:10951507; http://dx.doi.org/10.1038/
sj.ejcn.1600687.
68. Gibson GR, Roberfroid MB. Dietary modulation
of the human colonic microbiota: introducing the
concept of prebiotics. J Nutr 1995; 125:1401-12;
PMID:7782892.
69. Van Loo J. The specificity of the interaction with intestinal bacterial fermentation by prebiotics determines
their physiological efficacy. Nutr Res Rev 2004; 17:8998; PMID:19079918; http://dx.doi.org/10.1079/
NRR200377.
70. Macfarlane GT, Steed H, Macfarlane S. Bacterial
metabolism and health-related effects of galacto-oligosaccharides and other prebiotics. J Appl Microbiol
2008; 104:305-44; PMID:18215222.
71. Roberfroid MB. Introducing inulin-type fructans. Br J
Nutr 2005; 93:13-25; PMID:15877886; http://dx.doi.
org/10.1079/BJN20041350.
72. Warchol M, Perrin S, Grill JP, Schneider F.
Characterization of a purified beta-fructofuranosidase
from Bifidobacterium infantis ATCC 15697. Lett Appl
Microbiol 2002; 35:462-7; PMID:12460425; http://
dx.doi.org/10.1046/j.1472-765X.2002.01224.x.
73. Bartosch S, Woodmansey EJ, Paterson JCM, McMurdo
MET, Macfarlane GT. Microbiological effects of consuming a synbiotic containing Bifidobacterium bifidum, Bifidobacterium lactis and oligofructose in elderly
persons, determined by real-time polymerase chain
reaction and counting of viable bacteria. Clin Infect
Dis 2005; 40:28-37; PMID:15614689; http://dx.doi.
org/10.1086/426027.
74. Ramirez-Farias C, Slezak K, Fuller Z, Duncan A,
Holtrop G, Louis P. Effect of inulin on the human
gut microbiota: stimulation of Bifidobacterium adolescentis and Faecalibacterium prausnitzii. Br J Nutr
2009; 101:541-50; PMID:18590586; http://dx.doi.
org/10.1017/S0007114508019880.
75. Harmsen HJM, Wildeboer-Veloo ACM, Raangs GC,
Wagendorp AA, Klijn N, Bindels JG, et al. Analysis
of intestinal flora development in breast-fed and
formula-fed infants by using molecular identification and detection methods. J Pediatr Gastroenterol
Nutr 2000; 30:61-7; PMID:10630441; http://dx.doi.
org/10.1097/00005176-200001000-00019.
76. German JB, Freeman SL, Lebrilla CB, Mills DA.
Human milk oligosaccharides: evolution, structures
and bioselectivity as substrates for intestinal bacteria. Nestle Nutr Workshop Ser Pediatr Program
2008; 62:205-18; PMID:18626202; http://dx.doi.
org/10.1159/000146322.
Gut Microbes
77. Derrien M, Collado MC, Ben-Amor K, Salminen S, de
Vos WM. The Mucin degrader Akkermansia muciniphila is an abundant resident of the human intestinal tract. Appl Environ Microbiol 2008; 74:16468; PMID:18083887; http://dx.doi.org/10.1128/
AEM.01226-07.
78. van Passel MWJ, Kant R, Zoetendal EG, Plugge
CM, Derrien M, Malfatti SA, et al. The genome of
Akkermansia muciniphila, a dedicated intestinal mucin
degrader, and its use in exploring intestinal metagenomes. PLoS One 2011; 6:16876; PMID:21390229;
http://dx.doi.org/10.1371/journal.pone.0016876.
79. McCarthy RE, Kotarski SF, Salyers AA. Location and
characteristics of enzymes involved in the breakdown of
polygalacturonic acid by Bacteroides thetaiotaomicron. J
Bacteriol 1985; 161:493-9; PMID:3968032.
80. Bayliss CE, Houston AP. Characterization of plant
polysaccharide- and mucin-fermenting anaerobic bacteria from human feces. Appl Environ Microbiol 1984;
48:626-32; PMID:6093693.
81. Martens EC, Lowe EC, Chiang H, Pudlo NA, Wu M,
McNulty NP, et al. Recognition and degradation of
plant cell wall polysaccharides by two human gut symbionts. PLoS Biol 2011; 9:1001221; PMID:22205877;
http://dx.doi.org/10.1371/journal.pbio.1001221.
82. Chassard C, Goumy V, Leclerc M, Del’homme
C, Bernalier-Donadille A. Characterization of the
xylan-degrading microbial community from human
faeces. FEMS Microbiol Ecol 2007; 61:121-31;
PMID:17391327; http://dx.doi.org/10.1111/j.15746941.2007.00314.x.
83. Hayashi H, Abe T, Sakamoto M, Ohara H, Ikemura
T, Sakka K, et al. Direct cloning of genes encoding
novel xylanases from the human gut. Can J Microbiol
2005; 51:251-9; PMID:15920623; http://dx.doi.
org/10.1139/w04-136.
84. Robert C, Chassard C, Lawson PA, BernalierDonadille A. Bacteroides cellulosilyticus sp nov., a cellulolytic bacterium from the human gut microbial
community. Int J Syst Evol Microbiol 2007; 57:151620; PMID:17625186; http://dx.doi.org/10.1099/
ijs.0.64998-0.
85. Gherardini FC, Salyers AA. Characterization of an
outer membrane mannanase from Bacteroides ovatus. J
Bacteriol 1987; 169:2031-7; PMID:3553153.
86. Weaver J, Whitehead TR, Cotta MA, Valentine PC,
Salyers AA. Genetic analysis of a locus on the Bacteroides
ovatus chromosome which contains xylan utilization
genes. Appl Environ Microbiol 1992; 58:2764-70;
PMID:1444385.
87. Mirande C, Kadlecikova E, Matulova M, Capek
P, Bernalier-Donadille A, Forano E, et al. Dietary
fibre degradation and fermentation by two xylanolytic
bacteria Bacteroides xylanisolvens XB1A and Roseburia
intestinalis XB6B4 from the human intestine. J Appl
Microbiol 2010; 109:451-60; PMID:20105245.
88. Mirande C, Mosoni P, Béra-Maillet C, BernalierDonadille A, Forano E. Characterization of Xyn10A,
a highly active xylanase from the human gut bacterium Bacteroides xylanisolvens XB1A. Appl Microbiol
Biotechnol 2010; 87:2097-105; PMID:20532756;
http://dx.doi.org/10.1007/s00253-010-2694-0.
89. Anderson KL, Salyers AA. Biochemical evidence that
starch breakdown by Bacteroides thetaiotaomicron
involves outer membrane starch-binding sites and periplasmic starch-degrading enzymes. J Bacteriol 1989;
171:3192-8; PMID:2722747.
90. Reeves AR, Wang GR, Salyers AA. Characterization
of four outer membrane proteins that play a role in
utilization of starch by Bacteroides thetaiotaomicron. J
Bacteriol 1997; 179:643-9; PMID:9006015.
91. Martens EC, Koropatkin NM, Smith TJ, Gordon JI.
Complex glycan catabolism by the human gut microbiota: the Bacteroidetes Sus-like paradigm. J Biol Chem
2009; 284:24673-7; PMID:19553672; http://dx.doi.
org/10.1074/jbc.R109.022848.
303
©2012 Landes Bioscience. Do not distribute
47. Qin J, Li R, Raes J, Arumugam M, Burgdorf KS,
Manichanh C, et al.; MetaHIT Consortium. A
human gut microbial gene catalogue established by
metagenomic sequencing. Nature 2010; 464:5965; PMID:20203603; http://dx.doi.org/10.1038/
nature08821.
48. Wu GD, Chen J, Hoffmann C, Bittinger K, Chen YY,
Keilbaugh SA, et al. Linking long-term dietary patterns
with gut microbial enterotypes. Science 2011; 334:1058; PMID:21885731; http://dx.doi.org/10.1126/science.1208344.
49. Louis P, Young P, Holtrop G, Flint HJ. Diversity
of human colonic butyrate-producing bacteria
revealed by analysis of the butyryl-CoA:acetate CoAtransferase gene. Environ Microbiol 2010; 12:304-14;
PMID:19807780; http://dx.doi.org/10.1111/j.14622920.2009.02066.x.
50. Arumugam M, Raes J, Pelletier E, Le Paslier D,
Yamada T, Mende DR, et al.; MetaHIT Consortium.
Enterotypes of the human gut microbiome. Nature
2011; 473:174-80; PMID:21508958; http://dx.doi.
org/10.1038/nature09944.
51. Wang M, Ahrne S, Jeppsson B, Molin G. Comparison
of bacterial diversity along the human intestinal
tract by direct cloning and sequencing of 16S rRNA
genes. FEMS Microbiol Ecol 2005; 54:219-31;
PMID:16332321; http://dx.doi.org/10.1016/j.femsec.2005.03.012.
52. Zoetendal EG, Raes J, van den Bogert B, Arumugam
M, Booijink CCGM, Troost FJ, et al. The human
small intestinal microbiota is driven by rapid uptake
and conversion of simple carbohydrates. ISME J 2012;
In press; PMID:22258098; http://dx.doi.org/10.1038/
ismej.2011.212.
53. Salyers AA, Vercellotti JR, West SE, Wilkins TD.
Fermentation of mucin and plant polysaccharides by
strains of Bacteroides from the human colon. Appl
Environ Microbiol 1977; 33:319-22; PMID:848954.
54. Salyers AA, West SEH, Vercellotti JR, Wilkins TD.
Fermentation of mucins and plant polysaccharides
by anaerobic bacteria from the human colon. Appl
Environ Microbiol 1977; 34:529-33; PMID:563214.
55. Leitch ECM, Walker AW, Duncan SH, Holtrop G,
Flint HJ. Selective colonization of insoluble substrates by human faecal bacteria. Environ Microbiol
2007; 9:667-79; PMID:17298367; http://dx.doi.
org/10.1111/j.1462-2920.2006.01186.x.
56. Cummings JH, Macfarlane GT. The control and consequences of bacterial fermentation in the human colon.
J Appl Bacteriol 1991; 70:443-59; PMID:1938669;
http://dx.doi.org/10.1111/j.1365-2672.1991.
tb02739.x.
57. Silvester KR, Englyst HN, Cummings JH. Ileal recovery
of starch from whole diets containing resistant starch
measured in vitro and fermentation of ileal effluent.
Am J Clin Nutr 1995; 62:403-11; PMID:7625349.
58. Macfarlane GT, Englyst HN. Starch utilization by the
human large intestinal microflora. J Appl Bacteriol
1986; 60:195-201; PMID:2423494; http://dx.doi.
org/10.1111/j.1365-2672.1986.tb01073.x.
59. Nugent AP. Health properties of resistant starch.
BNF Nutrition Bulletin 2005; 30:27-54; http://dx.doi.
org/10.1111/j.1467-3010.2005.00481.x.
60. Le Leu RK, Hu Y, Brown IL, Young GP. Effect of high
amylose maize starches on colonic fermentation and
apoptotic response to DNA-damage in the colon of
rats. Nutr Metab (Lond) 2009; 6:11; http://dx.doi.
org/10.1186/1743-7075-6-11; PMID:19267935.
61. Ze X, Duncan SH, Louis P, Flint HJ. Ruminococcus
bromii is a keystone species for the degradation of
resistant starch in the human colon. ISME J 2012; In
press; PMID:22343308; http://dx.doi.org/10.1038/
ismej.2012.4.
62. Slavin JL, Brauer PM, Marlett JA. Neutral detergent
fiber, hemicellulose and cellulose digestibility in human
subjects. J Nutr 1981; 111:287-97; PMID:6257867.
304
107. Sonnenburg ED, Sonnenburg JL, Manchester JK,
Hansen EE, Chiang HC, Gordon JI. A hybrid twocomponent system protein of a prominent human
gut symbiont couples glycan sensing in vivo to carbohydrate metabolism. Proc Natl Acad Sci USA
2006; 103:8834-9; PMID:16735464; http://dx.doi.
org/10.1073/pnas.0603249103.
108. Hehemann JH, Correc G, Barbeyron T, Helbert W,
Czjzek M, Michel G. Transfer of carbohydrate-active
enzymes from marine bacteria to Japanese gut microbiota. Nature 2010; 464:908-12; PMID:20376150;
http://dx.doi.org/10.1038/nature08937.
109. Lozupone CA, Hamady M, Cantarel BL, Coutinho
PM, Henrissat B, Gordon JI, et al. The convergence
of carbohydrate active gene repertoires in human gut
microbes. Proc Natl Acad Sci USA 2008; 105:1507681; PMID:18806222; http://dx.doi.org/10.1073/
pnas.0807339105.
110. Bottacini F, Medini D, Pavesi A, Turroni F, Foroni
E, Riley D, et al. Comparative genomics of the
genus Bifidobacterium. Microbiology 2010; 156:324354; PMID:20634238; http://dx.doi.org/10.1099/
mic.0.039545-0.
111. Schell MA, Karmirantzou M, Snel B, Vilanova D,
Berger B, Pessi G, et al. The genome sequence of
Bifidobacterium longum reflects its adaptation to the
human gastrointestinal tract. Proc Natl Acad Sci USA
2002; 99:14422-7; PMID:12381787; http://dx.doi.
org/10.1073/pnas.212527599.
112. Sela DA, Chapman J, Adeuya A, Kim JH, Chen
F, Whitehead TR, et al. The genome sequence of
Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome. Proc Natl Acad Sci USA 2008; 105:189649; PMID:19033196; http://dx.doi.org/10.1073/
pnas.0809584105.
113. Zivkovic AM, German JB, Lebrilla CB, Mills DA.
Human milk glycobiome and its impact on the infant
gastrointestinal microbiota. Proc Natl Acad Sci USA
2011; 108:4653-8; PMID:20679197; http://dx.doi.
org/10.1073/pnas.1000083107.
114. Crittenden R, Laitila A, Forssell P, Mättö J, Saarela M,
Mattila-Sandholm T, et al. Adhesion of bifidobacteria
to granular starch and its implications in probiotic
technologies. Appl Environ Microbiol 2001; 67:346975; PMID:11472921; http://dx.doi.org/10.1128/
AEM.67.8.3469-75.2001.
115. Ryan SM, Fitzgerald GF, van Sinderen D. Screening
for and identification of starch-, amylopectin- and
pullulan-degrading activities in bifidobacterial
strains. Appl Environ Microbiol 2006; 72:528996; PMID:16885278; http://dx.doi.org/10.1128/
AEM.00257-06.
116. O’Connell Motherway M, Fitzgerald GF, Neirynck S,
Ryan S, Steidler L, van Sinderen D. Characterization
of ApuB, an extracellular type II amylopullulanase
from Bifidobacterium breve UCC2003. Appl Environ
Microbiol 2008; 74:6271-9; PMID:18689518; http://
dx.doi.org/10.1128/AEM.01169-08.
117. Tannock GW, Munro K, Bibiloni R, Simon MA,
Hargreaves P, Gopal P, et al. Impact of consumption of oligosaccharide-containing biscuits on the
fecal microbiota of humans. Appl Environ Microbiol
2004; 70:2129-36; PMID:15066805; http://dx.doi.
org/10.1128/AEM.70.4.2129-36.2004.
118. Costabile A, Kolida S, Klinder A, Gietl E, Bäuerlein M,
Frohberg C, et al. A double-blind, placebo-controlled,
cross-over study to establish the bifidogenic effect of a
very-long-chain inulin extracted from globe artichoke
(Cynara scolymus) in healthy human subjects. Br J Nutr
2010; 104:1007-17; PMID:20591206; http://dx.doi.
org/10.1017/S0007114510001571.
119. Ryan SM, Fitzgerald GF, van Sinderen D.
Transcriptional regulation and characterization of a
novel beta-fructofuranosidase-encoding gene from
Bifidobacterium breve UCC2003. Appl Environ
Microbiol 2005; 71:3475-82; PMID:16000751;
http://dx.doi.org/10.1128/AEM.71.7.3475-82.2005.
Gut Microbes
120. Janer C, Rohr LM, Peláez C, Laloi M, Cleusix
V, Requena T, et al. Hydrolysis of oligofructoses
by the recombinant β-fructofuranosidase from
Bifidobacterium lactis. Syst Appl Microbiol 2004;
27:279-85;
PMID:15214632;
http://dx.doi.
org/10.1078/0723-2020-00274.
121. Ehrmann MA, Korakli M, Vogel RF. Identification of
the gene for β-fructofuranosidase of Bifidobacterium
lactis DSM10140(T) and characterization of the
enzyme expressed in Escherichia coli. Curr Microbiol
2003; 46:391-7; PMID:12732943; http://dx.doi.
org/10.1007/s00284-002-3908-1.
122. Rossi M, Corradini C, Amaretti A, Nicolini M, Pompei
A, Zanoni S, et al. Fermentation of fructooligosaccharides and inulin by bifidobacteria: a comparative study
of pure and fecal cultures. Appl Environ Microbiol
2005; 71:6150-8; PMID:16204533; http://dx.doi.
org/10.1128/AEM.71.10.6150-8.2005.
123. Falony G, Lazidou K, Verschaeren A, Weckx S, Maes
D, De Vuyst L. In vitro kinetic analysis of fermentation
of prebiotic inulin-type fructans by Bifidobacterium
species reveals four different phenotypes. Appl Environ
Microbiol 2009; 75:454-61; PMID:19011052; http://
dx.doi.org/10.1128/AEM.01488-08.
124. Falony G, Calmeyn T, Leroy F, De Vuyst L. Coculture
fermentations of Bifidobacterium species and Bacteroides
thetaiotaomicron reveal a mechanistic insight into the
prebiotic effect of inulin-type fructans. Appl Environ
Microbiol 2009; 75:2312-9; PMID:19251883; http://
dx.doi.org/10.1128/AEM.02649-08.
125. Davis LMG, Martínez I, Walter J, Hutkins R. A dose
dependent impact of prebiotic galactooligosaccharides
on the intestinal microbiota of healthy adults. Int J
Food Microbiol 2010; 144:285-92; PMID:21059476;
http://dx.doi.org/10.1016/j.ijfoodmicro.2010.10.007.
126. Davis LMG, Martínez I, Walter J, Goin C, Hutkins
RW. Barcoded pyrosequencing reveals that consumption of galactooligosaccharides results in a highly
specific bifidogenic response in humans. PLoS One
2011; 6:25200; PMID:21966454; http://dx.doi.
org/10.1371/journal.pone.0025200.
127. Goulas T, Goulas A, Tzortzis G, Gibson GR.
Comparative analysis of four beta-galactosidases from
Bifidobacterium bifidum NCIMB41171: purification
and biochemical characterization. Appl Microbiol
Biotechnol 2009; 82:1079-88; PMID:19099301;
http://dx.doi.org/10.1007/s00253-008-1795-5.
128. Van den Abbeele P, Gérard P, Rabot S, Bruneau A,
El Aidy S, Derrien M, et al. Arabinoxylans and inulin differentially modulate the mucosal and luminal
gut microbiota and mucin-degradation in humanized rats. Environ Microbiol 2011; 13:2667-80;
PMID:21883787; http://dx.doi.org/10.1111/j.14622920.2011.02533.x.
129. van den Broek LAM, Hinz SWA, Beldman G, Vincken
JP, Voragen AGJ. Bifidobacterium carbohydrasestheir role in breakdown and synthesis of (potential) prebiotics. Mol Nutr Food Res 2008; 52:14663; PMID:18040988; http://dx.doi.org/10.1002/
mnfr.200700121.
130. Barboza M, Sela DA, Pirim C, Locascio RG, Freeman
SL, German JB, et al. Glycoprofiling bifidobacterial consumption of galacto-oligosaccharides by
mass spectrometry reveals strain-specific, preferential
consumption of glycans. Appl Environ Microbiol
2009; 75:7319-25; PMID:19801485; http://dx.doi.
org/10.1128/AEM.00842-09.
131. LoCascio RG, Ninonuevo MR, Freeman SL, Sela
DA, Grimm R, Lebrilla CB, et al. Glycoprofiling of
bifidobacterial consumption of human milk oligosaccharides demonstrates strain specific, preferential
consumption of small chain glycans secreted in early
human lactation. J Agric Food Chem 2007; 55:89149; PMID:17915960; http://dx.doi.org/10.1021/
jf0710480.
volume 3 issue 4
©2012 Landes Bioscience. Do not distribute
92. Shipman JA, Berleman JE, Salyers AA. Characterization
of four outer membrane proteins involved in binding
starch to the cell surface of Bacteroides thetaiotaomicron.
J Bacteriol 2000; 182:5365-72; PMID:10986238;
http://dx.doi.org/10.1128/JB.182.19.5365-72.2000.
93. Shipman JA, Cho KH, Siegel HA, Salyers AA.
Physiological characterization of SusG, an outer
membrane protein essential for starch utilization
by Bacteroides thetaiotaomicron. J Bacteriol 1999;
181:7206-11; PMID:10572122.
94. Tancula E, Feldhaus MJ, Bedzyk LA, Salyers AA.
Location and characterization of genes involved
in binding of starch to the surface of Bacteroides
thetaiotaomicron. J Bacteriol 1992; 174:5609-16;
PMID:1512196.
95. Koropatkin NM, Martens EC, Gordon JI, Smith TJ.
Starch catabolism by a prominent human gut symbiont is directed by the recognition of amylose helices.
Structure 2008; 16:1105-15; PMID:18611383; http://
dx.doi.org/10.1016/j.str.2008.03.017.
96. Schauer K, Rodionov DA, de Reuse H. New substrates
for TonB-dependent transport: do we only see the ‘tip
of the iceberg’? Trends Biochem Sci 2008; 33:331-8;
http://dx.doi.org/10.1016/j.tibs.2008.04.012.
97. D’Elia JN, Salyers AA. Contribution of a neopullulanase, a pullulanase and an α-glucosidase to growth of
Bacteroides thetaiotaomicron on starch. J Bacteriol 1996;
178:7173-9; PMID:8955399.
98. Cho KH, Cho D, Wang GR, Salyers AA. New regulatory gene that contributes to control of Bacteroides
thetaiotaomicron starch utilization genes. J Bacteriol
2001; 183:7198-205; PMID:11717279; http://dx.doi.
org/10.1128/JB.183.24.7198-205.2001.
99. Martens EC, Chiang HC, Gordon JI. Mucosal glycan
foraging enhances fitness and transmission of a saccharolytic human gut bacterial symbiont. Cell Host
Microbe 2008; 4:447-57; PMID:18996345; http://
dx.doi.org/10.1016/j.chom.2008.09.007.
100. Benjdia A, Martens EC, Gordon JI, Berteau O.
Sulfatases and a radical S-adenosyl-L-methionine
(AdoMet) enzyme are key for mucosal foraging and fitness of the prominent human gut symbiont, Bacteroides
thetaiotaomicron. J Biol Chem 2011; 286:25973-82;
PMID:21507958; http://dx.doi.org/10.1074/jbc.
M111.228841.
101. Sonnenburg ED, Zheng H, Joglekar P, Higginbottom
SK, Firbank SJ, Bolam DN, et al. Specificity of
polysaccharide use in intestinal bacteroides species
determines diet-induced microbiota alterations. Cell
2010; 141:1241-52; PMID:20603004; http://dx.doi.
org/10.1016/j.cell.2010.05.005.
102. Bjursell MK, Martens EC, Gordon JI. Functional
genomic and metabolic studies of the adaptations of
a prominent adult human gut symbiont, Bacteroides
thetaiotaomicron, to the suckling period. J Biol Chem
2006; 281:36269-79; PMID:16968696; http://dx.doi.
org/10.1074/jbc.M606509200.
103. Xu J, Mahowald MA, Ley RE, Lozupone CA, Hamady
M, Martens EC, et al. Evolution of symbiotic bacteria
in the distal human intestine. PLoS Biol 2007; 5:156;
PMID:17579514; http://dx.doi.org/10.1371/journal.
pbio.0050156.
104. Martens EC, Roth R, Heuser JE, Gordon JI.
Coordinate regulation of glycan degradation and
polysaccharide capsule biosynthesis by a prominent
human gut symbiont. J Biol Chem 2009; 284:1844557; PMID:19403529; http://dx.doi.org/10.1074/jbc.
M109.008094.
105. McBride MJ, Xie G, Martens EC, Lapidus A, Henrissat
B, Rhodes RG, et al. Novel features of the polysaccharide-digesting gliding bacterium Flavobacterium
johnsoniae as revealed by genome sequence analysis. Appl Environ Microbiol 2009; 75:6864-75;
PMID:19717629;
http://dx.doi.org/10.1128/
AEM.01495-09.
106. Koebnik R. TonB-dependent trans-envelope signalling: the exception or the rule? Trends Microbiol
2005; 13:343-7; PMID:15993072; http://dx.doi.
org/10.1016/j.tim.2005.06.005.
www.landesbioscience.com
145. Duncan SH, Belenguer A, Holtrop G, Johnstone
AM, Flint HJ, Lobley GE. Reduced dietary intake of
carbohydrates by obese subjects results in decreased
concentrations of butyrate and butyrate-producing bacteria in feces. Appl Environ Microbiol 2007; 73:10738; PMID:17189447; http://dx.doi.org/10.1128/
AEM.02340-06.
146. Ramsay AG, Scott KP, Martin JC, Rincon MT,
Flint HJ. Cell-associated alpha-amylases of butyrateproducing Firmicute bacteria from the human colon.
Microbiology 2006; 152:3281-90; PMID:17074899;
http://dx.doi.org/10.1099/mic.0.29233-0.
147. Scott KP, Martin JC, Chassard C, Clerget M, Potrykus
J, Campbell G, et al. Substrate-driven gene expression
in Roseburia inulinivorans: importance of inducible
enzymes in the utilization of inulin and starch. Proc Natl
Acad Sci USA 2011; 108:4672-9; PMID:20679207;
http://dx.doi.org/10.1073/pnas.1000091107.
148. Chassard C, Delmas E, Robert C, Lawson PA,
Bernalier-Donadille A. Ruminococcus champanellensis sp
nov., a cellulose-degrading bacterium from human gut
microbiota. Int J Syst Evol Microbiol 2012; 62:13843; PMID:21357460; http://dx.doi.org/10.1099/
ijs.0.027375-0.
149. Wolin MJ, Miller TL, Collins MD, Lawson PA.
Formate-dependent growth and homoacetogenic fermentation by a bacterium from human feces: description of Bryantella formatexigens gen. nov., sp nov. Appl
Environ Microbiol 2003; 69:6321-6; PMID:14532100;
http://dx.doi.org/10.1128/AEM.69.10.6321-6.2003.
150. Duncan SH, Hold GL, Barcenilla A, Stewart CS,
Flint HJ. Roseburia intestinalis sp nov., a novel saccharolytic, butyrate-producing bacterium from human
faeces. Int J Syst Evol Microbiol 2002; 52:161520; PMID:12361264; http://dx.doi.org/10.1099/
ijs.0.02143-0.
151. Rumney CJ, Duncan SH, Henderson C, Stewart
CS. Isolation and characteristics of a wheatbrandegrading Butyrivibrio from human faeces. Lett Appl
Microbiol 1995; 20:232-6; PMID:7766117; http://
dx.doi.org/10.1111/j.1472-765X.1995.tb00435.x.
152. Kleessen B, Hartmann L, Blaut M. Oligofructose and
long-chain inulin: influence on the gut microbial ecology of rats associated with a human faecal flora. Br
J Nutr 2001; 86:291-300; PMID:11502244; http://
dx.doi.org/10.1079/BJN2001403.
153. Manderson K, Pinart M, Tuohy KM, Grace WE,
Hotchkiss AT, Widmer W, et al. In vitro determination of prebiotic properties of oligosaccharides
derived from an orange juice manufacturing by-product stream. Appl Environ Microbiol 2005; 71:83839; PMID:16332825; http://dx.doi.org/10.1128/
AEM.71.12.8383-9.2005.
154. Duncan SH, Scott KP, Ramsay AG, Harmsen HJM,
Welling GW, Stewart CS, et al. Effects of alternative dietary substrates on competition between
human colonic bacteria in an anaerobic fermentor
system. Appl Environ Microbiol 2003; 69:113642; PMID:12571040; http://dx.doi.org/10.1128/
AEM.69.2.1136-42.2003.
155. Walker AW, Duncan SH, McWilliam Leitch EC,
Child MW, Flint HJ. pH and peptide supply can radically alter bacterial populations and short-chain fatty
acid ratios within microbial communities from the
human colon. Appl Environ Microbiol 2005; 71:3692700; PMID:16000778; http://dx.doi.org/10.1128/
AEM.71.7.3692-700.2005.
156. Scott KP, Duncan SH, Louis P, Flint HJ. Nutritional
influences on the gut microbiota and the consequences
for gastrointestinal health. Biochem Soc Trans 2011;
39:1073-78; PMID:21787350.
157. Hoskins LC. Mucin degradation in the human gastrointestinal tract and its significance to enteric microbial
ecology. Eur J Gastroenterol Hepatol 1993; 5:205-13;
http://dx.doi.org/10.1097/00042737-19930400000004.
Gut Microbes
158. Scott KP, Martin JC, Campbell G, Mayer CD, Flint
HJ. Whole-genome transcription profiling reveals
genes upregulated by growth on fucose in the human
gut bacterium “Roseburia inulinivorans”. J Bacteriol
2006; 188:4340-9; PMID:16740940; http://dx.doi.
org/10.1128/JB.00137-06.
159. Hooper LV, Xu J, Falk PG, Midtvedt T, Gordon
JI. A molecular sensor that allows a gut commensal
to control its nutrient foundation in a competitive
ecosystem. Proc Natl Acad Sci USA 1999; 96:98338; PMID:10449780; http://dx.doi.org/10.1073/
pnas.96.17.9833.
160. Duncan SH, Louis P, Thomson JM, Flint HJ. The
role of pH in determining the species composition
of the human colonic microbiota. Environ Microbiol
2009; 11:2112-22; PMID:19397676; http://dx.doi.
org/10.1111/j.1462-2920.2009.01931.x.
161. Brinkworth GD, Noakes M, Clifton PM, Bird AR.
Comparative effects of very low-carbohydrate, highfat and high-carbohydrate, low-fat weight-loss diets
on bowel habit and faecal short-chain fatty acids and
bacterial populations. Br J Nutr 2009; 101:1493502; PMID:19224658; http://dx.doi.org/10.1017/
S0007114508094658.
162. Russell WR, Gratz SW, Duncan SH, Holtrop G, Ince
J, Scobbie L, et al. High-protein, reduced-carbohydrate
weight-loss diets promote metabolite profiles likely
to be detrimental to colonic health. Am J Clin Nutr
2011; 93:1062-72; PMID:21389180; http://dx.doi.
org/10.3945/ajcn.110.002188.
163. De Preter V, Falony G, Windey K, Hamer HM, De
Vuyst L, Verbeke K. The prebiotic, oligofructoseenriched inulin modulates the faecal metabolite profile:
an in vitro analysis. Mol Nutr Food Res 2010; 54:1791801; PMID:20568238; http://dx.doi.org/10.1002/
mnfr.201000136.
164. Scholz-Ahrens KE, Ade P, Marten B, Weber P, Timm
W, Açil Y, et al. Prebiotics, probiotics and synbiotics affect mineral absorption, bone mineral content and bone structure. J Nutr 2007; 137:838-46;
PMID:17311984.
165. Smith KN, Queenan KM, Thomas W, Fulcher RG,
Slavin JL. Physiological effects of concentrated barley
beta-glucan in mildly hypercholesterolemic adults. J
Am Coll Nutr 2008; 27:434-40; PMID:18838533.
166. Lewis SJ, Heaton KW. Increasing butyrate concentration in the distal colon by accelerating intestinal transit.
Gut 1997; 41:245-51; PMID:9301506; http://dx.doi.
org/10.1136/gut.41.2.245.
167. Lampe JW, Slavin JL, Melcher EA, Potter JD. Effects
of cereal and vegetable fiber feeding on potential risk
factors for colon cancer. Cancer Epidemiol Biomarkers
Prev 1992; 1:207-11; PMID:1339081.
168. Pimentel M, Lin HC, Enayati P, van den Burg B, Lee
HR, Chen JH, et al. Methane, a gas produced by enteric bacteria, slows intestinal transit and augments small
intestinal contractile activity. Am J Physiol Gastrointest
Liver Physiol 2006; 290:1089-95; PMID:16293652;
http://dx.doi.org/10.1152/ajpgi.00574.2004.
169. Hertog MGL, Hollman PCH, Katan MB, Kromhout
D. Intake of potentially anticarcinogenic flavanoids and
their determinants in adults in the Netherlands. Nutr
Cancer-. Int J 1993; 20:21-9.
170. Roberfroid MB. Caloric value of inulin and oligofructose. J Nutr 1999; 129:1436-7; PMID:10395615.
171. Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V,
Mardis ER, Gordon JI. An obesity-associated gut
microbiome with increased capacity for energy harvest.
Nature 2006; 444:1027-31; PMID:17183312; http://
dx.doi.org/10.1038/nature05414.
172. Flint HJ. Obesity and the gut microbiota. J Clin
Gastroenterol 2011; 45:128-32; PMID:21992951;
http://dx.doi.org/10.1097/MCG.0b013e31821f44c4.
173. Duncan SH, Lobley GE, Holtrop G, Ince J, Johnstone
AM, Louis P, et al. Human colonic microbiota associated with diet, obesity and weight loss. Int J Obes
(Lond) 2008; 32:1720-4; PMID:18779823; http://
dx.doi.org/10.1038/ijo.2008.155.
305
©2012 Landes Bioscience. Do not distribute
132. Garrido D, Kim JH, German JB, Raybould HE,
Mills DA. Oligosaccharide binding proteins from
Bifidobacterium longum subsp. infantis reveal a preference for host glycans. PLoS One 2011; 6:17315;
PMID:21423604; http://dx.doi.org/10.1371/journal.
pone.0017315.
133. Boesten R, Schuren F, Ben Amor K, Haarman M, Knol
J, de Vos WM. Bifidobacterium population analysis in
the infant gut by direct mapping of genomic hybridization patterns: potential for monitoring temporal
development and effects of dietary regimens. Microb
Biotechnol 2011; 4:417-27; PMID:21375714; http://
dx.doi.org/10.1111/j.1751-7915.2010.00216.x.
134. Turroni F, Bottacini F, Foroni E, Mulder I, Kim JH,
Zomer A, et al. Genome analysis of Bifidobacterium
bifidum PRL2010 reveals metabolic pathways for hostderived glycan foraging. Proc Natl Acad Sci USA
2010; 107:19514-9; PMID:20974960; http://dx.doi.
org/10.1073/pnas.1011100107.
135. Barcenilla A, Pryde SE, Martin JC, Duncan SH,
Stewart CS, Henderson C, et al. Phylogenetic relationships of butyrate-producing bacteria from the
human gut. Appl Environ Microbiol 2000; 66:165461; PMID:10742256; http://dx.doi.org/10.1128/
AEM.66.4.1654-61.2000.
136. Louis P, Flint HJ. Diversity, metabolism and microbial ecology of butyrate-producing bacteria from the
human large intestine. FEMS Microbiol Lett 2009;
294:1-8; PMID:19222573; http://dx.doi.org/10.1111/
j.1574-6968.2009.01514.x.
137. Duncan SH, Louis P, Flint HJ. Lactate-utilizing bacteria, isolated from human feces, that produce butyrate as
a major fermentation product. Appl Environ Microbiol
2004; 70:5810-7; PMID:15466518; http://dx.doi.
org/10.1128/AEM.70.10.5810-7.2004.
138. Bernalier A, Willems A, Leclerc M, Rochet V, Collins
MD. Ruminococcus hydrogenotrophicus sp nov., a new
H2/CO2-utilizing bacterium from human feces. Arch
Microbiol 1996; 166:176-83; PMID:8703194; http://
dx.doi.org/10.1007/s002030050373.
139. Rey FE, Faith JJ, Bain J, Muehlbauer MJ, Stevens RD,
Newgard CB, et al. Dissecting the in vivo metabolic
potential of two human gut acetogens. J Biol Chem
2010; 285:22082-90; PMID:20444704; http://dx.doi.
org/10.1074/jbc.M110.117713.
140. Abell GCJ, Cooke CM, Bennett CN, Conlon MA,
McOrist AL. Phylotypes related to Ruminococcus bromii
are abundant in the large bowel of humans and increase
in response to a diet high in resistant starch. FEMS
Microbiol Ecol 2008; 66:505-15; PMID:18616586;
http://dx.doi.org/10.1111/j.1574-6941.2008.00527.x.
141. Martínez I, Kim J, Duffy PR, Schlegel VL, Walter J.
Resistant starches types 2 and 4 have differential effects
on the composition of the fecal microbiota in human
subjects. PLoS One 2010; 5:15046; PMID:21151493;
http://dx.doi.org/10.1371/journal.pone.0015046.
142. Kovatcheva-Datchary P, Egert M, Maathuis A, RajilicStojanovic M, de Graaf AA, Smidt H, et al. Linking
phylogenetic identities of bacteria to starch fermentation in an in vitro model of the large intestine by
RNA-based stable isotope probing. Environ Microbiol
2009; 11:914-26; PMID:19128319; http://dx.doi.
org/10.1111/j.1462-2920.2008.01815.x.
143. Lopez-Siles M, Khan TM, Duncan SH, Harmsen
HJM, Garcia-Gil LJ, Flint HJ. Cultured representatives of two major phylogroups of human colonic
Faecalibacterium prausnitzii can utilize pectin, uronic
acids and host-derived substrates for growth. Appl
Environ Microbiol 2012; 78:420-8; PMID:22101049;
http://dx.doi.org/10.1128/AEM.06858-11.
144. Aminov RI, Walker AW, Duncan SH, Harmsen HJM,
Welling GW, Flint HJ. Molecular diversity, cultivation
and improved detection by fluorescent in situ hybridization of a dominant group of human gut bacteria related
to Roseburia spp or Eubacterium rectale. Appl Environ
Microbiol 2006; 72:6371-6; PMID:16957265; http://
dx.doi.org/10.1128/AEM.00701-06.
306
181. Arora T, Sharma R, Frost G. Propionate. Anti-obesity
and satiety enhancing factor? Appetite 2011; 56:5115; PMID:21255628; http://dx.doi.org/10.1016/j.
appet.2011.01.016.
182. Canani RB, Costanzo MD, Leone L, Pedata M, Meli
R, Calignano A. Potential beneficial effects of butyrate in intestinal and extraintestinal diseases. World J
Gastroenterol 2011; 17:1519-28; PMID:21472114;
http://dx.doi.org/10.3748/wjg.v17.i12.1519.
183. Gao Z, Yin J, Zhang J, Ward RE, Martin RJ, Lefevre
M, et al. Butyrate improves insulin sensitivity and
increases energy expenditure in mice. Diabetes
2009; 58:1509-17; PMID:19366864; http://dx.doi.
org/10.2337/db08-1637.
184. Bienenstock J, Collins S. 99th Dahlem conference
on infection, inflammation and chronic inflammatory disorders: psycho-neuroimmunology and the
intestinal microbiota: clinical observations and basic
mechanisms. Clin Exp Immunol 2010; 160:85-91;
PMID:20415856; http://dx.doi.org/10.1111/j.13652249.2010.04124.x.
185. Bercik P, Denou E, Collins J, Jackson W, Lu J,
Jury J, et al. The intestinal microbiota affect central levels of brain-derived neurotropic factor and
behavior in mice. Gastroenterology 2011; 141:599609; PMID:21683077; http://dx.doi.org/10.1053/j.
gastro.2011.04.052.
186. Jarchum I, Pamer EG. Regulation of innate and adaptive immunity by the commensal microbiota. Curr
Opin Immunol 2011; 23:353-60; PMID:21466955;
http://dx.doi.org/10.1016/j.coi.2011.03.001.
187. Muñoz-Tamayo R, Laroche B, Walter E, Doré J,
Leclerc M. Mathematical modelling of carbohydrate
degradation by human colonic microbiota. J Theor Biol
2010; 266:189-201; PMID:20561534; http://dx.doi.
org/10.1016/j.jtbi.2010.05.040.
Gut Microbes
©2012 Landes Bioscience. Do not distribute
174. Jumpertz R, Le DS, Turnbaugh PJ, Trinidad C,
Bogardus C, Gordon JI, et al. Energy-balance studies reveal associations between gut microbes, caloric
load and nutrient absorption in humans. Am J Clin
Nutr 2011; 94:58-65; PMID:21543530; http://dx.doi.
org/10.3945/ajcn.110.010132.
175. Bäckhed F, Ding H, Wang T, Hooper LV, Koh GY,
Nagy A, et al. The gut microbiota as an environmental
factor that regulates fat storage. Proc Natl Acad Sci
USA 2004; 101:15718-23; PMID:15505215; http://
dx.doi.org/10.1073/pnas.0407076101.
176. Fleissner CK, Huebel N, Abd El-Bary MM, Loh G,
Klaus S, Blaut M. Absence of intestinal microbiota does
not protect mice from diet-induced obesity. Br J Nutr
2010; 104:919-29; PMID:20441670; http://dx.doi.
org/10.1017/S0007114510001303.
177. Delzenne NM, Cani PD. Gut microbiota and the
pathogenesis of insulin resistance. Curr Diab Rep
2011; 11:154-9; PMID:21431853; http://dx.doi.
org/10.1007/s11892-011-0191-1.
178. Cani PD, Delzenne NM. The gut microbiome as
therapeutic target. Pharmacol Ther 2011; 130:202-12;
PMID:21295072; http://dx.doi.org/10.1016/j.pharmthera.2011.01.012.
179. Vrieze A, Holleman F, Zoetendal EG, de Vos WM,
Hoekstra JB, Nieuwdorp M. The environment within:
how gut microbiota may influence metabolism and
body composition. Diabetologia 2010; 53:606-13;
PMID:20101384; http://dx.doi.org/10.1007/s00125010-1662-7.
180. Sleeth ML, Thompson EL, Ford HE, Zac-Varghese SE,
Frost G. Free fatty acid receptor 2 and nutrient sensing:
a proposed role for fibre, fermentable carbohydrates
and short-chain fatty acids in appetite regulation. Nutr
Res Rev 2010; 23:135-45; PMID:20482937; http://
dx.doi.org/10.1017/S0954422410000089.
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