Literature DB >> 23077252

Drift-barrier hypothesis and mutation-rate evolution.

Way Sung1, Matthew S Ackerman, Samuel F Miller, Thomas G Doak, Michael Lynch.   

Abstract

Mutation dictates the tempo and mode of evolution, and like all traits, the mutation rate is subject to evolutionary modification. Here, we report refined estimates of the mutation rate for a prokaryote with an exceptionally small genome and for a unicellular eukaryote with a large genome. Combined with prior results, these estimates provide the basis for a potentially unifying explanation for the wide range in mutation rates that exists among organisms. Natural selection appears to reduce the mutation rate of a species to a level that scales negatively with both the effective population size (N(e)), which imposes a drift barrier to the evolution of molecular refinements, and the genomic content of coding DNA, which is proportional to the target size for deleterious mutations. As a consequence of an expansion in genome size, some microbial eukaryotes with large N(e) appear to have evolved mutation rates that are lower than those known to occur in prokaryotes, but multicellular eukaryotes have experienced elevations in the genome-wide deleterious mutation rate because of substantial reductions in N(e).

Mesh:

Year:  2012        PMID: 23077252      PMCID: PMC3494944          DOI: 10.1073/pnas.1216223109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

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2.  The cellular, developmental and population-genetic determinants of mutation-rate evolution.

Authors:  Michael Lynch
Journal:  Genetics       Date:  2008-08-30       Impact factor: 4.562

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

4.  DNA repair pathway choice is influenced by the health of Drosophila melanogaster.

Authors:  Alethea D Wang; Aneil F Agrawal
Journal:  Genetics       Date:  2012-07-18       Impact factor: 4.562

5.  Evolution of the mutation rate.

Authors:  Michael Lynch
Journal:  Trends Genet       Date:  2010-06-30       Impact factor: 11.639

6.  Genetic variability maintained in a finite population due to mutational production of neutral and nearly neutral isoalleles.

Authors:  M Kimura
Journal:  Genet Res       Date:  1968-06       Impact factor: 1.588

7.  Estimate of the genomic mutation rate deleterious to overall fitness in E. coli.

Authors:  T T Kibota; M Lynch
Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

8.  Extraordinary genome stability in the ciliate Paramecium tetraurelia.

Authors:  Way Sung; Abraham E Tucker; Thomas G Doak; Eunjin Choi; W Kelley Thomas; Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-05       Impact factor: 11.205

9.  The Chlamydomonas genome reveals the evolution of key animal and plant functions.

Authors:  Sabeeha S Merchant; Simon E Prochnik; Olivier Vallon; Elizabeth H Harris; Steven J Karpowicz; George B Witman; Astrid Terry; Asaf Salamov; Lillian K Fritz-Laylin; Laurence Maréchal-Drouard; Wallace F Marshall; Liang-Hu Qu; David R Nelson; Anton A Sanderfoot; Martin H Spalding; Vladimir V Kapitonov; Qinghu Ren; Patrick Ferris; Erika Lindquist; Harris Shapiro; Susan M Lucas; Jane Grimwood; Jeremy Schmutz; Pierre Cardol; Heriberto Cerutti; Guillaume Chanfreau; Chun-Long Chen; Valérie Cognat; Martin T Croft; Rachel Dent; Susan Dutcher; Emilio Fernández; Hideya Fukuzawa; David González-Ballester; Diego González-Halphen; Armin Hallmann; Marc Hanikenne; Michael Hippler; William Inwood; Kamel Jabbari; Ming Kalanon; Richard Kuras; Paul A Lefebvre; Stéphane D Lemaire; Alexey V Lobanov; Martin Lohr; Andrea Manuell; Iris Meier; Laurens Mets; Maria Mittag; Telsa Mittelmeier; James V Moroney; Jeffrey Moseley; Carolyn Napoli; Aurora M Nedelcu; Krishna Niyogi; Sergey V Novoselov; Ian T Paulsen; Greg Pazour; Saul Purton; Jean-Philippe Ral; Diego Mauricio Riaño-Pachón; Wayne Riekhof; Linda Rymarquis; Michael Schroda; David Stern; James Umen; Robert Willows; Nedra Wilson; Sara Lana Zimmer; Jens Allmer; Janneke Balk; Katerina Bisova; Chong-Jian Chen; Marek Elias; Karla Gendler; Charles Hauser; Mary Rose Lamb; Heidi Ledford; Joanne C Long; Jun Minagawa; M Dudley Page; Junmin Pan; Wirulda Pootakham; Sanja Roje; Annkatrin Rose; Eric Stahlberg; Aimee M Terauchi; Pinfen Yang; Steven Ball; Chris Bowler; Carol L Dieckmann; Vadim N Gladyshev; Pamela Green; Richard Jorgensen; Stephen Mayfield; Bernd Mueller-Roeber; Sathish Rajamani; Richard T Sayre; Peter Brokstein; Inna Dubchak; David Goodstein; Leila Hornick; Y Wayne Huang; Jinal Jhaveri; Yigong Luo; Diego Martínez; Wing Chi Abby Ngau; Bobby Otillar; Alexander Poliakov; Aaron Porter; Lukasz Szajkowski; Gregory Werner; Kemin Zhou; Igor V Grigoriev; Daniel S Rokhsar; Arthur R Grossman
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10.  The lower bound to the evolution of mutation rates.

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Journal:  Genome Biol Evol       Date:  2011-08-04       Impact factor: 3.416

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  160 in total

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2.  Evolutionary meandering of intermolecular interactions along the drift barrier.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-22       Impact factor: 11.205

Review 3.  Molecular and evolutionary processes generating variation in gene expression.

Authors:  Mark S Hill; Pétra Vande Zande; Patricia J Wittkopp
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Journal:  Genetics       Date:  2013-05-24       Impact factor: 4.562

5.  Estimation of the spontaneous mutation rate per nucleotide site in a Drosophila melanogaster full-sib family.

Authors:  Peter D Keightley; Rob W Ness; Daniel L Halligan; Penelope R Haddrill
Journal:  Genetics       Date:  2013-11-08       Impact factor: 4.562

Review 6.  The repeatability of genome-wide mutation rate and spectrum estimates.

Authors:  Megan G Behringer; David W Hall
Journal:  Curr Genet       Date:  2016-02-26       Impact factor: 3.886

7.  The Rate and Molecular Spectrum of Spontaneous Mutations in the GC-Rich Multichromosome Genome of Burkholderia cenocepacia.

Authors:  Marcus M Dillon; Way Sung; Michael Lynch; Vaughn S Cooper
Journal:  Genetics       Date:  2015-05-12       Impact factor: 4.562

8.  Evolutionary cell biology: two origins, one objective.

Authors:  Michael Lynch; Mark C Field; Holly V Goodson; Harmit S Malik; José B Pereira-Leal; David S Roos; Aaron P Turkewitz; Shelley Sazer
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-17       Impact factor: 11.205

Review 9.  Engineering reduced evolutionary potential for synthetic biology.

Authors:  Brian A Renda; Michael J Hammerling; Jeffrey E Barrick
Journal:  Mol Biosyst       Date:  2014-02-21

10.  Universally high transcript error rates in bacteria.

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Journal:  Elife       Date:  2020-05-29       Impact factor: 8.140

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