Literature DB >> 26445215

GC-biased gene conversion links the recombination landscape and demography to genomic base composition: GC-biased gene conversion drives genomic base composition across a wide range of species.

Carina F Mugal1, Claudia C Weber1,2, Hans Ellegren1.   

Abstract

The origin and evolutionary dynamics of the spatial heterogeneity in genomic base composition have been debated since its discovery in the 1970s. With the recent availability of numerous genome sequences from a wide range of species it has been possible to address this question from a comparative perspective, and similarities and differences in base composition between groups of organisms are becoming evident. Ample evidence suggests that the contrasting dynamics of base composition are driven by GC-biased gene conversion (gBGC), a process that is associated with meiotic recombination. In line with this hypothesis, base composition is associated with the rate of recombination and the evolutionary dynamics of the recombination landscape, therefore, governs base composition. In addition, and at first sight perhaps surprisingly, the relationship between demography and genomic base composition is in agreement with the gBGC hypothesis: organisms with larger populations have higher GC content than those with smaller populations.
© 2015 WILEY Periodicals, Inc.

Keywords:  GC content; base composition; gene conversion; recombination

Mesh:

Year:  2015        PMID: 26445215     DOI: 10.1002/bies.201500058

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  26 in total

Review 1.  Making sense of genomic islands of differentiation in light of speciation.

Authors:  Jochen B W Wolf; Hans Ellegren
Journal:  Nat Rev Genet       Date:  2016-11-14       Impact factor: 53.242

2.  Substantial Heritable Variation in Recombination Rate on Multiple Scales in Honeybees and Bumblebees.

Authors:  Takeshi Kawakami; Andreas Wallberg; Anna Olsson; Dimitry Wintermantel; Joachim R de Miranda; Mike Allsopp; Maj Rundlöf; Matthew T Webster
Journal:  Genetics       Date:  2019-05-31       Impact factor: 4.562

3.  Revisiting the Relationships Between Genomic G + C Content, RNA Secondary Structures, and Optimal Growth Temperature.

Authors:  Michelle M Meyer
Journal:  J Mol Evol       Date:  2020-11-20       Impact factor: 2.395

4.  Biased Gene Conversion Constrains Adaptation in Arabidopsis thaliana.

Authors:  Tuomas Hämälä; Peter Tiffin
Journal:  Genetics       Date:  2020-05-15       Impact factor: 4.562

Review 5.  Human Accelerated Regions and Other Human-Specific Sequence Variations in the Context of Evolution and Their Relevance for Brain Development.

Authors:  Anastasia Levchenko; Alexander Kanapin; Anastasia Samsonova; Raul R Gainetdinov
Journal:  Genome Biol Evol       Date:  2018-01-01       Impact factor: 3.416

6.  Evolutionary forces affecting synonymous variations in plant genomes.

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Journal:  PLoS Genet       Date:  2017-05-22       Impact factor: 5.917

7.  Analytical Biases Associated with GC-Content in Molecular Evolution.

Authors:  Jonathan Romiguier; Camille Roux
Journal:  Front Genet       Date:  2017-02-15       Impact factor: 4.599

8.  Consequences of Asexuality in Natural Populations: Insights from Stick Insects.

Authors:  Jens Bast; Darren J Parker; Zoé Dumas; Kirsten M Jalvingh; Patrick Tran Van; Kamil S Jaron; Emeric Figuet; Alexander Brandt; Nicolas Galtier; Tanja Schwander
Journal:  Mol Biol Evol       Date:  2018-07-01       Impact factor: 16.240

9.  Genetic variation in recombination rate in the pig.

Authors:  Martin Johnsson; Andrew Whalen; Roger Ros-Freixedes; Gregor Gorjanc; Ching-Yi Chen; William O Herring; Dirk-Jan de Koning; John M Hickey
Journal:  Genet Sel Evol       Date:  2021-06-25       Impact factor: 4.297

10.  High-Resolution Mapping of Crossover and Non-crossover Recombination Events by Whole-Genome Re-sequencing of an Avian Pedigree.

Authors:  Linnéa Smeds; Carina F Mugal; Anna Qvarnström; Hans Ellegren
Journal:  PLoS Genet       Date:  2016-05-24       Impact factor: 5.917

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