Distributions of epistasis in microbes fit predictions from a fitness landscape model.

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Serval ID
serval:BIB_E1D931699142
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Distributions of epistasis in microbes fit predictions from a fitness landscape model.
Journal
Nature Genetics
Author(s)
Martin G., Elena S.F., Lenormand T.
ISSN
1061-4036 (Print)
ISSN-L
1061-4036
Publication state
Published
Issued date
2007
Volume
39
Number
4
Pages
555-560
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
How do the fitness effects of several mutations combine? Despite its simplicity, this question is central to the understanding of multilocus evolution. Epistasis (the interaction between alleles at different loci), especially epistasis for fitness traits such as reproduction and survival, influences evolutionary predictions "almost whenever multilocus genetics matters". Yet very few models have sought to predict epistasis, and none has been empirically tested. Here we show that the distribution of epistasis can be predicted from the distribution of single mutation effects, based on a simple fitness landscape model. We show that this prediction closely matches the empirical measures of epistasis that have been obtained for Escherichia coli and the RNA virus vesicular stomatitis virus. Our results suggest that a simple fitness landscape model may be sufficient to quantitatively capture the complex nature of gene interactions. This model may offer a simple and widely applicable alternative to complex metabolic network models, in particular for making evolutionary predictions.
Keywords
Adaptation, Biological/genetics, Biological Evolution, Epistasis, Genetic, Escherichia coli/genetics, Escherichia coli/growth & development, Genetics, Microbial, Likelihood Functions, Models, Genetic, Selection, Genetic, Statistical Distributions, Vesicular stomatitis Indiana virus/genetics, Vesicular stomatitis Indiana virus/growth & development
Pubmed
Web of science
Open Access
Yes
Create date
20/01/2008 15:29
Last modification date
20/08/2019 16:05
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