Skip to main content
Log in

Development and integration of EST–SSR markers into an established linkage map in switchgrass

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

Switchgrass (Panicum virgatum L.) is a model cellulosic biofuel crop in the United States. Simple sequence repeat (SSR) markers are valuable resources for genetic mapping and molecular breeding. A large number of expressed sequence tags (ESTs) of switchgrass are recently available in our sequencing project. The objectives of this study were to develop new SSR markers from the switchgrass EST sequences and to integrate them into an existing linkage map. More than 750 unique primer pairs (PPs) were designed from 243,600 EST contigs and tested for PCR amplifications, resulting in 538 PPs effectively producing amplicons of expected sizes. Of the effective PPs, 481 amplifying informative bands in NL94 were screened for polymorphisms in a panel consisting of NL94 and its seven first-generation selfed (S1) progeny. This led to the selection of 117 polymorphic EST–SSRs to genotype a mapping population encompassing 139 S1 individuals of NL94. Of 83 markers demonstrating clearly scorable alleles in the mapping population, 79 were integrated into a published linkage map, with three linked to accessory loci and one unlinked. The newly identified EST–SSR loci were distributed in 17 of 18 linkage groups with 27 (32.5 %) exhibiting distorted segregations. The integration of EST–SSRs aided in reducing the average marker interval (cM) to 3.7 from 4.2, and reduced the number of gaps (each >15 cM) to 10 from 23. Developing new EST–SSRs and constructing a higher density linkage map will facilitate quantitative trait locus mapping and provide a firm footing for marker-assisted breeding in switchgrass.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Anhalt UC, Heslop-Harrison PJ, Byrne S, Guillard A, Barth S (2008) Segregation distortion in Lolium: evidence for genetic effects. Theor Appl Genet 117:297–306

    Article  PubMed  CAS  Google Scholar 

  • Beckmann JS, Soller M (1983) Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs. Theor Appl Genet 67:35–43

    Article  Google Scholar 

  • Bouton JH (2007) Molecular breeding of switchgrass for use as a biofuel crop. Curr Opin Genet Dev 17:553–558

    Article  PubMed  CAS  Google Scholar 

  • Casler M (2012) Switchgrass breeding, genetics, and genomic. In: Monti A (ed) Switchgrass: a valuable biomass crop for energy. Springer, London, pp 29–53

    Google Scholar 

  • Costich DE, Friebe B, Sheehan MJ, Casler MD, Buckler ES (2010) Genome-size variation in switchgrass (Panicum virgatum): flow cytometry and cytology reveal rampant aneuploidy. Plant Gen 3:130–141

    Article  Google Scholar 

  • Crooijmans RP, van Kampen AJ, van der Poel JJ, Groenen MA (1994) New microsatellite markers on the linkage map of the chicken genome. J Hered 85:410–413

    PubMed  CAS  Google Scholar 

  • da Maia LC, Palmieri DA, de Souza VQ, Kopp MM, de Carvalho FI, Costa de Oliveira A (2008) SSR locator: tool for simple sequence repeat discovery integrated with primer design and PCR simulation. Int J Plant Genomics. doi:10.1155/2008/412696

    PubMed  Google Scholar 

  • Doyle JJ, Doyle JK (1990) Isolation of plant DNA from fresh tissue. Focus 12:13–15

    Google Scholar 

  • Harushima Y, Yano M, Shomura A, Sato M, Shimano T, Kuboki Y, Yamamoto T, Lin SY, Antonio BA, Parco A, Kajiya H, Huang N, Yamamoto K, Nagamura Y, Kurata N, Khush GS, Sasaki T (1998) A high-density rice genetic linkage map with 2275 markers using a single F2 population. Genetics 148:479–494

    PubMed  CAS  Google Scholar 

  • Kantety RV, La Rota M, Matthews DE, Sorrells ME (2002) Data mining for simple sequence repeats in expressed sequence tags from barley, maize, rice, sorghum and wheat. Plant Mol Biol 48:501–510

    Article  PubMed  CAS  Google Scholar 

  • Katti MV, Ranjekar PK, Gupta VS (2001) Differential distribution of simple sequence repeats in eukaryotic genome sequences. Mol Biol Evol 18:1161–1167

    Article  PubMed  CAS  Google Scholar 

  • Korzun V (2002) Use of molecular markers in cereal breeding. Cell Mol Biol Lett 7:811–820

    PubMed  CAS  Google Scholar 

  • Liu LL, Wu YQ (2012) Identification of a selfing compatible genotype and mode of inheritance in switchgrass. Bioenergy Res 5:662–668

    Article  CAS  Google Scholar 

  • Liu LL, Wu YQ (2013) Molecular genetics and molecular breeding for bioenergy traits. In: Luo H, Wu YQ (eds) Compendium of bioenergy plants: switchgrass. CRC Press, FL (in press)

  • Liu L, Wu Y, Wang Y, Samuels T (2012) A high-density simple sequence repeat-based genetic linkage map of switchgrass. G3-Genes Genomes Genet 2:357–370

    CAS  Google Scholar 

  • Lyttle TW (1991) Segregation distorters. Annu Rev Genet 25:511–557

    Article  PubMed  CAS  Google Scholar 

  • Metzgar D, Bytof J, Wills C (2000) Selection against frameshift mutations limits microsatellite expansion in coding DNA. Genome Res 10:72–80

    PubMed  CAS  Google Scholar 

  • Meyer E, Logan TL, Juenger TE (2012) Transcriptome analysis and gene expression atlas for Panicum hallii var. filipes, a diploid model for biofuel research. Plant J 70:879–890

    Article  PubMed  CAS  Google Scholar 

  • Missaoui AM, Paterson AH, Bouton JH (2005) Investigation of genomic organization in switchgrass (Panicum virgatum L.) using DNA markers. Theor Appl Genet 110:1372–1383

    Article  PubMed  CAS  Google Scholar 

  • Okada M, Lanzatella C, Saha MC, Bouton J, Wu R, Tobias CM (2010) Complete switchgrass genetic maps reveal subgenome collinearity, preferential pairing and multilocus interactions. Genetics 185:745–760

    Article  PubMed  CAS  Google Scholar 

  • Palmer NA, Saathoff AJ, Kim J, Benson A, Tobias CM, Twigg P, Vogel KP, Madhavan S, Sarath G (2012) Next generation sequencing of crown and rhizome transcriptome from an upland, tetraploid switchgrass. Bioenergy Res 5:649–661

    Article  CAS  Google Scholar 

  • Schmer MR, Vogel KP, Mitchell RB, Perrin RK (2008) Net energy of cellulosic ethanol from switchgrass. Proc Natl Acad Sci USA 105:464–469

    Article  PubMed  CAS  Google Scholar 

  • Sharma MK, Sharma R, Cao P, Jenkins J, Bartley LE, Qualls M, Grimwood J, Schmutz J, Rokhsar D, Ronald PC (2012) A genome-wide survey of switchgrass genome structure and organization. PLoS One 7:e33892

    Article  PubMed  CAS  Google Scholar 

  • Tatusova TA, Madden TL (1999) BLAST 2 Sequences, a new tool for comparing protein and nucleotide sequences. FEMS Microbiol Lett 174:247–250

    Article  PubMed  CAS  Google Scholar 

  • Tobias CM, Twigg P, Hayden DM, Vogel KP, Michell RM, Lazo GR, Chow EK, Sarath G (2005) Analysis of expressed sequence tags and the identification of associated short tandem repeats in switchgrass. Theor Appl Genet 111:956–964

    Article  PubMed  Google Scholar 

  • Tobias CM, Hayden DM, Twigg P, Gautam S (2006) Genic microsatellite markers derived from EST sequences of switchgrass (Panicum virgatum L.). Mole Ecol Notes 1:185–187

    Article  Google Scholar 

  • Tobias CM, Gautam S, Twigg P, Lindquist E, Pangilinan J, Penning BW, Barry K, McCann MC, Carpita NC, Lazo GR (2008) Comparative genomics in switchgrass using 61,585 high-quality expressed sequence tags. Plant Genome 1:111–124

    Article  CAS  Google Scholar 

  • Triplett JK, Wang Y, Zhong J, Kellogg EA (2012) Five nuclear loci resolve the polyploid history of switchgrass (Panicum virgatum L.) and relatives. PLoS One 7:e38702

    Article  PubMed  CAS  Google Scholar 

  • Van Ooijen JW (2006) JoinMap 4, software for the calculation of genetic linkage maps in experimental populations. Kyazma BV, Wageningen

    Google Scholar 

  • Wang YW, Samuels TD, Wu YQ (2011) Development of 1,030 genomic SSR markers in switchgrass. Theor Appl Genet 122:677–686

    Article  PubMed  CAS  Google Scholar 

  • Wang Y, Zeng X, Iyer NJ, Bryant DW, Mockler TC, Mahalingam R (2012) Exploring the switchgrass transcriptome using second-generation sequencing technology. PLoS One 7:e34225

    Article  PubMed  CAS  Google Scholar 

  • Wright L, Turhollow A (2010) Switchgrass selection as a “model” bioenergy crop: a history of the process. Biomass Bioenergy 34:851–868

    Article  Google Scholar 

  • Wu Y, Huang Y (2007) An SSR genetic map of Sorghum bicolor (L.) Moench and its comparison to a published genetic map. Genome 50:84–89

    Article  PubMed  CAS  Google Scholar 

  • Young HA, Hernlem BJ, Anderton AL, Lanzatella-Craig C, Tobias CM (2010) Dihaploid stocks for switchgrass isolated by a screening approach. BioEnergy Res 3:305–313

    Article  Google Scholar 

  • Zhang JY, Lee YC, Torres-Jerez I, Wang M, Yin Y, Chou WC, He J, Shen H, Srivastava AC, Pennacchio C, Lindquist E, Grimwood J, Schmutz J, Xu Y, Sharma M, Sharma R, Bartley LE, Ronald PC, Saha MC, Dixon RA, Tang Y, Udvardi MK (2013) Development of an integrated transcript sequence database and a gene expression atlas for gene discovery and analysis in switchgrass (Panicum virgatum L.). Plant J 74:160–173. doi:10.1111/tpj.12104

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors thank the following funding sources and individuals for sponsoring and helping in this research: National Science Foundation award EPS 0814361; Oklahoma Agricultural Experiment Station; Yiwen Xiang, Yunwen Wang and Pu Feng.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Yanqi Wu or Ramamurthy Mahalingam.

Additional information

Linglong Liu and Yalin Huang have contributed equally to this work.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Information of 538 effective EST-SSR markers newly developed in switchgrass (XLSX 75 kb)

11032_2013_9921_MOESM2_ESM.xlsx

Genotyping data including 83 new EST-SSR loci (highlighted) and 506 previously mapped loci for the NL94 selfed population. The last column indicates significant levels of Chi square test for the expected Mendelian 1:2:1 ratio (XLSX 315 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, L., Huang, Y., Punnuri, S. et al. Development and integration of EST–SSR markers into an established linkage map in switchgrass. Mol Breeding 32, 923–931 (2013). https://doi.org/10.1007/s11032-013-9921-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11032-013-9921-1

Keywords

Navigation

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy