Les Hatton

Kingston University, London, Computer Science, Emeritus

Followers

Following

Co-author

Mentions

2,455

Public Views

Les Hatton is Emeritus Professor of Forensic Software Engineering at Kingston University, London. Educated in mathematics at King's College, Cambridge 1967-1970 and the University of Manchester where he received the degree of PhD in 1973 for his work on tornadoes, he was awarded the Conrad Schlumberger Award of the European Association of Geoscientists and Engineers in 1987. He has published widely in meteorology, geophysics, computer science, safety critical systems, sports biomechanics, computational reproducibility and latterly, information theory in biology in journals including Nature, various IEEE journals and Geophysics.He is the author of several books, the latest published with Greg Warr in mid 2022, "Exposing Nature's bias: the hidden clockwork behind Society, Life and the Universe".

less

jaime Gómez Márquez

University of Santiago de Compostela

Małgorzata Dudkiewicz

Warsaw University of Life Sciences

Gustavo Caetano-Anolles

University of Illinois at Urbana-Champaign

Sankar Chatterjee

Texas Tech University

Karin Moelling

University of Zurich, Switzerland

Aare Abroi

David Horn

Arturo Becerra

UNAM Universidad Nacional Autónoma de México

Nathalie Gontier

Universidade de Lisboa

Hiroshi Chiura

Interests

Uploads

Papers by Les Hatton

Protein multiplicity: exemplifying an overwhelmingly likely pattern of molecular evolution?

Academia Biology, Oct 31, 2024

Conservation of Hartley–Shannon Information (CoHSI) is a purely probabilistic, general theory of ... more Conservation of Hartley–Shannon Information (CoHSI) is a purely probabilistic, general theory of discrete systems. It is not a theory of evolution per se, but if it is correct, CoHSI can predict and help explain emergent patterns of macroevolution. In this study, we test both the falsifiability and utility of predictions from the CoHSI theory in the context of molecular evolution. First, we test whether CoHSI accurately predicts a heretofore unknown outcome of macroevolution, the distribution of protein multiplicity. Multiplicity is the occurrence identically of a protein in more than a single species (or species equivalent). We observe over 13 million multiplicious proteins, ranging from the highly conserved (including histones, components of photosystems, and the electron transport chain) to the rapidly evolving viral proteins that are involved in infection and adaptation to novel host species. CoHSI predicts that when considered globally across all three domains of life and the viruses, multiplicity will show a distinctive variant of the Zipfian distribution. We show that the predictions of the CoHSI theory are borne out to a high degree of statistical robustness for the multiplicious proteins of eukaryotes, bacteria, archaea, and viruses whether considered separately or in totality. Second, we test whether deviations from CoHSI predictions can be informative of underlying evolutionary processes. We show that observed perturbations of the CoHSI-predicted distribution are strongly associated with enterobacterial species in which rapid microevolution facilitated by the horizontal transfer of genes is prevalent.

Les Hatton

Uploads

Papers by Les Hatton

Log In

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier! Saves Data!