Literature DB >> 33563283

Assessment of assumptions underlying models of prokaryotic pangenome evolution.

Itamar Sela1, Yuri I Wolf2, Eugene V Koonin3.   

Abstract

BACKGROUND: The genomes of bacteria and archaea evolve by extensive loss and gain of genes which, for any group of related prokaryotic genomes, result in the formation of a pangenome with the universal, asymmetrical U-shaped distribution of gene commonality. However, the evolutionary factors that define the specific shape of this distribution are not thoroughly understood.
RESULTS: We investigate the fit of simple models of genome evolution to the empirically observed gene commonality distributions and genome intersections for 33 groups of closely related bacterial genomes. A model with an infinite external gene pool available for gene acquisition and constant genome size (IGP-CGS model), and two gene turnover rates, one for slow- and the other one for fast-evolving genes, allows two approaches to estimate the parameters for gene content dynamics. One is by fitting the model prediction to the distribution of the number of genes shared by precisely k genomes (gene commonality distribution) and another by analyzing the distribution of the number of genes common for k genome sets (k-cores). Both approaches produce a comparable overall quality of fit, although the former significantly overestimates the number of the universally conserved genes, while the latter overestimates the number of singletons. We further explore the effect of dropping each of the assumptions of the IGP-CGS model on the fit to the gene commonality distributions and show that models with either a finite gene pool or unequal rates of gene loss and gain (greater gene loss rate) eliminate the overestimate of the number of singletons or the core genome size.
CONCLUSIONS: We examine the assumptions that are usually adopted for modeling the evolution of the U-shaped gene commonality distributions in prokaryote genomes, namely, those of infinitely many genes and constant genome size. The combined analysis of genome intersections and gene commonality suggests that at least one of these assumptions is invalid. The violation of both these assumptions reflects the limited ability of prokaryotes to gain new genes. This limitation seems to stem, at least partly, from the horizontal gene transfer barrier, i.e., the cost of accommodation of foreign genes by prokaryotes. Further development of models taking into account the complexity of microbial evolution is necessary for an improved understanding of the evolution of prokaryotes.

Entities:  

Keywords:  Bacterial evolution; Evolutionary genomics; Pangenome; Quantitative biology

Year:  2021        PMID: 33563283      PMCID: PMC7874442          DOI: 10.1186/s12915-021-00960-2

Source DB:  PubMed          Journal:  BMC Biol        ISSN: 1741-7007            Impact factor:   7.431


  36 in total

Review 1.  Horizontal gene transfer in prokaryotes: quantification and classification.

Authors:  E V Koonin; K S Makarova; L Aravind
Journal:  Annu Rev Microbiol       Date:  2001       Impact factor: 15.500

2.  Testing the infinitely many genes model for the evolution of the bacterial core genome and pangenome.

Authors:  R Eric Collins; Paul G Higgs
Journal:  Mol Biol Evol       Date:  2012-06-29       Impact factor: 16.240

3.  Two fundamentally different classes of microbial genes.

Authors:  Yuri I Wolf; Kira S Makarova; Alexander E Lobkovsky; Eugene V Koonin
Journal:  Nat Microbiol       Date:  2016-11-07       Impact factor: 17.745

4.  Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome".

Authors:  Hervé Tettelin; Vega Masignani; Michael J Cieslewicz; Claudio Donati; Duccio Medini; Naomi L Ward; Samuel V Angiuoli; Jonathan Crabtree; Amanda L Jones; A Scott Durkin; Robert T Deboy; Tanja M Davidsen; Marirosa Mora; Maria Scarselli; Immaculada Margarit y Ros; Jeremy D Peterson; Christopher R Hauser; Jaideep P Sundaram; William C Nelson; Ramana Madupu; Lauren M Brinkac; Robert J Dodson; Mary J Rosovitz; Steven A Sullivan; Sean C Daugherty; Daniel H Haft; Jeremy Selengut; Michelle L Gwinn; Liwei Zhou; Nikhat Zafar; Hoda Khouri; Diana Radune; George Dimitrov; Kisha Watkins; Kevin J B O'Connor; Shannon Smith; Teresa R Utterback; Owen White; Craig E Rubens; Guido Grandi; Lawrence C Madoff; Dennis L Kasper; John L Telford; Michael R Wessels; Rino Rappuoli; Claire M Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-19       Impact factor: 11.205

Review 5.  The Ecology and Evolution of Pangenomes.

Authors:  Michael A Brockhurst; Ellie Harrison; James P J Hall; Thomas Richards; Alan McNally; Craig MacLean
Journal:  Curr Biol       Date:  2019-10-21       Impact factor: 10.834

6.  ATGC database and ATGC-COGs: an updated resource for micro- and macro-evolutionary studies of prokaryotic genomes and protein family annotation.

Authors:  David M Kristensen; Yuri I Wolf; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

Review 7.  Horizontal gene transfer and the evolution of bacterial and archaeal population structure.

Authors:  Martin F Polz; Eric J Alm; William P Hanage
Journal:  Trends Genet       Date:  2013-01-15       Impact factor: 11.639

8.  Genome-wide experimental determination of barriers to horizontal gene transfer.

Authors:  Rotem Sorek; Yiwen Zhu; Christopher J Creevey; M Pilar Francino; Peer Bork; Edward M Rubin
Journal:  Science       Date:  2007-10-18       Impact factor: 47.728

9.  Memory and fitness optimization of bacteria under fluctuating environments.

Authors:  Guillaume Lambert; Edo Kussell; Edo Kussel
Journal:  PLoS Genet       Date:  2014-09-25       Impact factor: 5.917

10.  Updated clusters of orthologous genes for Archaea: a complex ancestor of the Archaea and the byways of horizontal gene transfer.

Authors:  Yuri I Wolf; Kira S Makarova; Natalya Yutin; Eugene V Koonin
Journal:  Biol Direct       Date:  2012-12-14       Impact factor: 4.540

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  2 in total

1.  To kill or to be killed: pangenome analysis of Escherichia coli strains reveals a tailocin specific for pandemic ST131.

Authors:  Erwin Tantoso; Birgit Eisenhaber; Miles Kirsch; Vladimir Shitov; Zhiya Zhao; Frank Eisenhaber
Journal:  BMC Biol       Date:  2022-06-16       Impact factor: 7.364

2.  Nutrition or nature: using elementary flux modes to disentangle the complex forces shaping prokaryote pan-genomes.

Authors:  Daniel R Garza; F A Bastiaan von Meijenfeldt; Bram van Dijk; Annemarie Boleij; Martijn A Huynen; Bas E Dutilh
Journal:  BMC Ecol Evol       Date:  2022-08-16
  2 in total

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