Literature DB >> 35663241

Two decades of suspect evidence for adaptive molecular evolution-negative selection confounding positive-selection signals.

Qipian Chen1, Hao Yang1, Xiao Feng1, Qingjian Chen1, Suhua Shi1, Chung-I Wu1, Ziwen He1.   

Abstract

There has been a large literature in the last two decades affirming adaptive DNA sequence evolution between species. The main lines of evidence are from (i) the McDonald-Kreitman (MK) test, which compares divergence and polymorphism data, and (ii) the phylogenetic analysis by maximum likelihood (PAML) test, which analyzes multispecies divergence data. Here, we apply these two tests concurrently to genomic data of Drosophila and Arabidopsis. To our surprise, the >100 genes identified by the two tests do not overlap beyond random expectation. Because the non-concordance could be due to low powers leading to high false negatives, we merge every 20-30 genes into a 'supergene'. At the supergene level, the power of detection is large but the calls still do not overlap. We rule out methodological reasons for the non-concordance. In particular, extensive simulations fail to find scenarios whereby positive selection can only be detected by either MK or PAML, but not both. Since molecular evolution is governed by positive and negative selection concurrently, a fundamental assumption for estimating one of these (say, positive selection) is that the other is constant. However, in a broad survey of primates, birds, Drosophila and Arabidopsis, we found that negative selection rarely stays constant for long in evolution. As a consequence, the variation in negative selection is often misconstrued as a signal of positive selection. In conclusion, MK, PAML and any method that examines genomic sequence evolution has to explicitly address the variation in negative selection before estimating positive selection. In a companion study, we propose a possible path forward in two stages-first, by mapping out the changes in negative selection and then using this map to estimate positive selection. For now, the large literature on positive selection between species has to await reassessment.
© The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.

Entities:  

Keywords:  molecular evolution; natural selection; neutral theory

Year:  2021        PMID: 35663241      PMCID: PMC9154339          DOI: 10.1093/nsr/nwab217

Source DB:  PubMed          Journal:  Natl Sci Rev        ISSN: 2053-714X            Impact factor:   23.178


  54 in total

1.  Within- and between-species DNA sequence variation and the 'footprint' of natural selection.

Authors:  H Akashi
Journal:  Gene       Date:  1999-09-30       Impact factor: 3.688

2.  Codon-substitution models to detect adaptive evolution that account for heterogeneous selective pressures among site classes.

Authors:  Ziheng Yang; Willie J Swanson
Journal:  Mol Biol Evol       Date:  2002-01       Impact factor: 16.240

3.  Changing effective population size and the McDonald-Kreitman test.

Authors:  Adam Eyre-Walker
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

4.  Bayes empirical bayes inference of amino acid sites under positive selection.

Authors:  Ziheng Yang; Wendy S W Wong; Rasmus Nielsen
Journal:  Mol Biol Evol       Date:  2005-02-02       Impact factor: 16.240

5.  Development of Neutral and Nearly Neutral Theories

Authors: 
Journal:  Theor Popul Biol       Date:  1996-04       Impact factor: 1.570

6.  Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene.

Authors:  R Nielsen; Z Yang
Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

7.  Less is more: an adaptive branch-site random effects model for efficient detection of episodic diversifying selection.

Authors:  Martin D Smith; Joel O Wertheim; Steven Weaver; Ben Murrell; Konrad Scheffler; Sergei L Kosakovsky Pond
Journal:  Mol Biol Evol       Date:  2015-02-19       Impact factor: 16.240

8.  Tumorigenesis as the Paradigm of Quasi-neutral Molecular Evolution.

Authors:  Bingjie Chen; Zongkun Shi; Qingjian Chen; Xu Shen; Darryl Shibata; Haijun Wen; Chung-I Wu
Journal:  Mol Biol Evol       Date:  2019-07-01       Impact factor: 16.240

9.  A universal evolutionary index for amino acid changes.

Authors:  Hua Tang; Gerald J Wyckoff; Jian Lu; Chung-I Wu
Journal:  Mol Biol Evol       Date:  2004-05-12       Impact factor: 16.240

10.  A scan for positively selected genes in the genomes of humans and chimpanzees.

Authors:  Rasmus Nielsen; Carlos Bustamante; Andrew G Clark; Stephen Glanowski; Timothy B Sackton; Melissa J Hubisz; Adi Fledel-Alon; David M Tanenbaum; Daniel Civello; Thomas J White; John J Sninsky; Mark D Adams; Michele Cargill
Journal:  PLoS Biol       Date:  2005-05-03       Impact factor: 8.029

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