Predicting the evolution of sex on complex fitness landscapes.

Most population genetic theories on the evolution of sex or recombination are based on fairly restrictive assumptions about the nature of the underlying fitness landscapes. Here we use computer simulations to study the evolution of sex on fitness landscapes with different degrees of complexity and e...

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Autores principales:	Dusan Misevic, Roger D Kouyos, Sebastian Bonhoeffer
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b18904c9c5f64f4c89158b0d6a7e166f
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spelling	oai:doaj.org-article:b18904c9c5f64f4c89158b0d6a7e166f2021-11-25T05:42:09ZPredicting the evolution of sex on complex fitness landscapes.1553-734X1553-735810.1371/journal.pcbi.1000510https://doaj.org/article/b18904c9c5f64f4c89158b0d6a7e166f2009-09-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19763171/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Most population genetic theories on the evolution of sex or recombination are based on fairly restrictive assumptions about the nature of the underlying fitness landscapes. Here we use computer simulations to study the evolution of sex on fitness landscapes with different degrees of complexity and epistasis. We evaluate predictors of the evolution of sex, which are derived from the conditions established in the population genetic literature for the evolution of sex on simpler fitness landscapes. These predictors are based on quantities such as the variance of Hamming distance, mean fitness, additive genetic variance, and epistasis. We show that for complex fitness landscapes all the predictors generally perform poorly. Interestingly, while the simplest predictor, Delta Var(HD), also suffers from a lack of accuracy, it turns out to be the most robust across different types of fitness landscapes. Delta Var(HD) is based on the change in Hamming distance variance induced by recombination and thus does not require individual fitness measurements. The presence of loci that are not under selection can, however, severely diminish predictor accuracy. Our study thus highlights the difficulty of establishing reliable criteria for the evolution of sex on complex fitness landscapes and illustrates the challenge for both theoretical and experimental research on the origin and maintenance of sexual reproduction.Dusan MisevicRoger D KouyosSebastian BonhoefferPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 5, Iss 9, p e1000510 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Dusan Misevic Roger D Kouyos Sebastian Bonhoeffer Predicting the evolution of sex on complex fitness landscapes.
description	Most population genetic theories on the evolution of sex or recombination are based on fairly restrictive assumptions about the nature of the underlying fitness landscapes. Here we use computer simulations to study the evolution of sex on fitness landscapes with different degrees of complexity and epistasis. We evaluate predictors of the evolution of sex, which are derived from the conditions established in the population genetic literature for the evolution of sex on simpler fitness landscapes. These predictors are based on quantities such as the variance of Hamming distance, mean fitness, additive genetic variance, and epistasis. We show that for complex fitness landscapes all the predictors generally perform poorly. Interestingly, while the simplest predictor, Delta Var(HD), also suffers from a lack of accuracy, it turns out to be the most robust across different types of fitness landscapes. Delta Var(HD) is based on the change in Hamming distance variance induced by recombination and thus does not require individual fitness measurements. The presence of loci that are not under selection can, however, severely diminish predictor accuracy. Our study thus highlights the difficulty of establishing reliable criteria for the evolution of sex on complex fitness landscapes and illustrates the challenge for both theoretical and experimental research on the origin and maintenance of sexual reproduction.
format	article
author	Dusan Misevic Roger D Kouyos Sebastian Bonhoeffer
author_facet	Dusan Misevic Roger D Kouyos Sebastian Bonhoeffer
author_sort	Dusan Misevic
title	Predicting the evolution of sex on complex fitness landscapes.
title_short	Predicting the evolution of sex on complex fitness landscapes.
title_full	Predicting the evolution of sex on complex fitness landscapes.
title_fullStr	Predicting the evolution of sex on complex fitness landscapes.
title_full_unstemmed	Predicting the evolution of sex on complex fitness landscapes.
title_sort	predicting the evolution of sex on complex fitness landscapes.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/b18904c9c5f64f4c89158b0d6a7e166f
work_keys_str_mv	AT dusanmisevic predictingtheevolutionofsexoncomplexfitnesslandscapes AT rogerdkouyos predictingtheevolutionofsexoncomplexfitnesslandscapes AT sebastianbonhoeffer predictingtheevolutionofsexoncomplexfitnesslandscapes
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Predicting the evolution of sex on complex fitness landscapes.

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