Literature DB >> 27010021

When Is Selection Effective?

Simon Gravel1.   

Abstract

Deleterious alleles can reach high frequency in small populations because of random fluctuations in allele frequency. This may lead, over time, to reduced average fitness. In this sense, selection is more "effective" in larger populations. Recent studies have considered whether the different demographic histories across human populations have resulted in differences in the number, distribution, and severity of deleterious variants, leading to an animated debate. This article first seeks to clarify some terms of the debate by identifying differences in definitions and assumptions used in recent studies. We argue that variants of Morton, Crow, and Muller's "total mutational damage" provide the soundest and most practical basis for such comparisons. Using simulations, analytical calculations, and 1000 Genomes Project data, we provide an intuitive and quantitative explanation for the observed similarity in genetic load across populations. We show that recent demography has likely modulated the effect of selection and still affects it, but the net result of the accumulated differences is small. Direct observation of differential efficacy of selection for specific allele classes is nevertheless possible with contemporary data sets. By contrast, identifying average genome-wide differences in the efficacy of selection across populations will require many modeling assumptions and is unlikely to provide much biological insight about human populations.
Copyright © 2016 by the Genetics Society of America.

Entities:  

Keywords:  genetic drift; genetic load; human genetics; purging; selection

Mesh:

Year:  2016        PMID: 27010021      PMCID: PMC4858791          DOI: 10.1534/genetics.115.184630

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  33 in total

1.  THE MUTATION LOAD IN SMALL POPULATIONS.

Authors:  M KIMURA; T MARUYAMA; J F CROW
Journal:  Genetics       Date:  1963-10       Impact factor: 4.562

2.  Support from the relationship of genetic and geographic distance in human populations for a serial founder effect originating in Africa.

Authors:  Sohini Ramachandran; Omkar Deshpande; Charles C Roseman; Noah A Rosenberg; Marcus W Feldman; L Luca Cavalli-Sforza
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-21       Impact factor: 11.205

3.  AN ESTIMATE OF THE MUTATIONAL DAMAGE IN MAN FROM DATA ON CONSANGUINEOUS MARRIAGES.

Authors:  N E Morton; J F Crow; H J Muller
Journal:  Proc Natl Acad Sci U S A       Date:  1956-11       Impact factor: 11.205

4.  On the accumulation of deleterious mutations during range expansions.

Authors:  S Peischl; I Dupanloup; M Kirkpatrick; L Excoffier
Journal:  Mol Ecol       Date:  2013-11-04       Impact factor: 6.185

5.  Characteristics of neutral and deleterious protein-coding variation among individuals and populations.

Authors:  Wenqing Fu; Rachel M Gittelman; Michael J Bamshad; Joshua M Akey
Journal:  Am J Hum Genet       Date:  2014-10-02       Impact factor: 11.025

6.  Predicting functional effect of human missense mutations using PolyPhen-2.

Authors:  Ivan Adzhubei; Daniel M Jordan; Shamil R Sunyaev
Journal:  Curr Protoc Hum Genet       Date:  2013-01

7.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

8.  Assessing the evolutionary impact of amino acid mutations in the human genome.

Authors:  Adam R Boyko; Scott H Williamson; Amit R Indap; Jeremiah D Degenhardt; Ryan D Hernandez; Kirk E Lohmueller; Mark D Adams; Steffen Schmidt; John J Sninsky; Shamil R Sunyaev; Thomas J White; Rasmus Nielsen; Andrew G Clark; Carlos D Bustamante
Journal:  PLoS Genet       Date:  2008-05-30       Impact factor: 5.917

9.  Population growth inflates the per-individual number of deleterious mutations and reduces their mean effect.

Authors:  Elodie Gazave; Diana Chang; Andrew G Clark; Alon Keinan
Journal:  Genetics       Date:  2013-08-26       Impact factor: 4.562

10.  Whole-exome sequencing reveals a rapid change in the frequency of rare functional variants in a founding population of humans.

Authors:  Ferran Casals; Alan Hodgkinson; Julie Hussin; Youssef Idaghdour; Vanessa Bruat; Thibault de Maillard; Jean-Christophe Grenier; Jean-Cristophe Grenier; Elias Gbeha; Fadi F Hamdan; Simon Girard; Jean-François Spinella; Mathieu Larivière; Virginie Saillour; Jasmine Healy; Isabel Fernández; Daniel Sinnett; Jacques L Michaud; Guy A Rouleau; Elie Haddad; Françoise Le Deist; Philip Awadalla
Journal:  PLoS Genet       Date:  2013-09-26       Impact factor: 5.917

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  23 in total

1.  Demography and mating system shape the genome-wide impact of purifying selection in Arabis alpina.

Authors:  Benjamin Laenen; Andrew Tedder; Michael D Nowak; Per Toräng; Jörg Wunder; Stefan Wötzel; Kim A Steige; Yiannis Kourmpetis; Thomas Odong; Andreas D Drouzas; Marco C A M Bink; Jon Ågren; George Coupland; Tanja Slotte
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-04       Impact factor: 11.205

2.  The Effect of an Extreme and Prolonged Population Bottleneck on Patterns of Deleterious Variation: Insights from the Greenlandic Inuit.

Authors:  Casper-Emil T Pedersen; Kirk E Lohmueller; Niels Grarup; Peter Bjerregaard; Torben Hansen; Hans R Siegismund; Ida Moltke; Anders Albrechtsen
Journal:  Genetics       Date:  2016-11-30       Impact factor: 4.562

Review 3.  The impact of recent population history on the deleterious mutation load in humans and close evolutionary relatives.

Authors:  Yuval B Simons; Guy Sella
Journal:  Curr Opin Genet Dev       Date:  2016-10-13       Impact factor: 5.578

4.  How Much Does Ne Vary Among Species?

Authors:  Nicolas Galtier; Marjolaine Rousselle
Journal:  Genetics       Date:  2020-08-24       Impact factor: 4.562

5.  Beyond drugs: the evolution of genes involved in human response to medications.

Authors:  Silvia Fuselli
Journal:  Proc Biol Sci       Date:  2019-10-23       Impact factor: 5.349

6.  Evolution and Genetic Diversity of the k13 Gene Associated with Artemisinin Delayed Parasite Clearance in Plasmodium falciparum.

Authors:  M Andreína Pacheco; Esha R Kadakia; Zainab Chaudhary; Douglas J Perkins; Julia Kelley; Shashidhar Ravishankar; Michael Cranfield; Eldin Talundzic; Venkatachalam Udhayakumar; Ananias A Escalante
Journal:  Antimicrob Agents Chemother       Date:  2019-07-25       Impact factor: 5.191

7.  Demographic decline and lineage-specific adaptations characterize New Zealand kiwi.

Authors:  Jordan B Bemmels; Else K Mikkelsen; Oliver Haddrath; Rogan M Colbourne; Hugh A Robertson; Jason T Weir
Journal:  Proc Biol Sci       Date:  2021-12-15       Impact factor: 5.349

8.  Relaxed Selection During a Recent Human Expansion.

Authors:  Stephan Peischl; Isabelle Dupanloup; Adrien Foucal; Michèle Jomphe; Vanessa Bruat; Jean-Christophe Grenier; Alexandre Gouy; K J Gilbert; Elias Gbeha; Lars Bosshard; Elodie Hip-Ki; Mawussé Agbessi; Alan Hodgkinson; Hélène Vézina; Philip Awadalla; Laurent Excoffier
Journal:  Genetics       Date:  2017-11-29       Impact factor: 4.562

9.  Haplotype-based inference of the distribution of fitness effects.

Authors:  Diego Ortega-Del Vecchyo; Kirk E Lohmueller; John Novembre
Journal:  Genetics       Date:  2022-04-04       Impact factor: 4.562

10.  The Counteracting Effects of Demography on Functional Genomic Variation: The Roma Paradigm.

Authors:  Neus Font-Porterias; Rocio Caro-Consuegra; Marcel Lucas-Sánchez; Marie Lopez; Aaron Giménez; Annabel Carballo-Mesa; Elena Bosch; Francesc Calafell; Lluís Quintana-Murci; David Comas
Journal:  Mol Biol Evol       Date:  2021-06-25       Impact factor: 16.240

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