Detecting adaptive convergent amino acid evolution.

C3/C4 convergent evolution genomics molecular evolution phylogenetics probabilistic models

Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
22 07 2019
Historique:
entrez: 4 6 2019
pubmed: 4 6 2019
medline: 28 4 2020
Statut: ppublish

Résumé

In evolutionary genomics, researchers have taken an interest in identifying substitutions that subtend convergent phenotypic adaptations. This is a difficult question that requires distinguishing foreground convergent substitutions that are involved in the convergent phenotype from background convergent substitutions. Those may be linked to other adaptations, may be neutral or may be the consequence of mutational biases. Furthermore, there is no generally accepted definition of convergent substitutions. Various methods that use different definitions have been proposed in the literature, resulting in different sets of candidate foreground convergent substitutions. In this article, we first describe the processes that can generate foreground convergent substitutions in coding sequences, separating adaptive from non-adaptive processes. Second, we review methods that have been proposed to detect foreground convergent substitutions in coding sequences and expose the assumptions that underlie them. Finally, we examine their power on simulations of convergent changes-including in the presence of a change in the efficacy of selection-and on empirical alignments. This article is part of the theme issue 'Convergent evolution in the genomics era: new insights and directions'.

Identifiants

pubmed: 31154974
doi: 10.1098/rstb.2018.0234
pmc: PMC6560273
doi:

Substances chimiques

Amino Acids 0
Proteins 0

Banques de données

Dryad
['10.5061/dryad.57hr00q/1']
figshare
['10.6084/m9.figshare.c.4467500']

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

20180234

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Auteurs

Carine Rey (C)

1 ENS de Lyon, CNRS UMR 5239, INSERM U1210, LBMC, Univ Lyon, Université Claude Bernard Lyon 1 , F-69007 Lyon , France.

Vincent Lanore (V)

2 CNRS UMR 5558, LBBE, Univ Lyon, Université Claude Bernard Lyon 1 , F-69100 Villeurbanne , France.

Philippe Veber (P)

2 CNRS UMR 5558, LBBE, Univ Lyon, Université Claude Bernard Lyon 1 , F-69100 Villeurbanne , France.

Laurent Guéguen (L)

2 CNRS UMR 5558, LBBE, Univ Lyon, Université Claude Bernard Lyon 1 , F-69100 Villeurbanne , France.

Nicolas Lartillot (N)

2 CNRS UMR 5558, LBBE, Univ Lyon, Université Claude Bernard Lyon 1 , F-69100 Villeurbanne , France.

Marie Sémon (M)

1 ENS de Lyon, CNRS UMR 5239, INSERM U1210, LBMC, Univ Lyon, Université Claude Bernard Lyon 1 , F-69007 Lyon , France.

Bastien Boussau (B)

2 CNRS UMR 5558, LBBE, Univ Lyon, Université Claude Bernard Lyon 1 , F-69100 Villeurbanne , France.

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Classifications MeSH