AI Article Synopsis
- The accumulation of genomic data has sparked renewed interest in theoretical adaptation models, with the Fisher Geometric Model (FGM) gaining significant attention for studying individual mutation effects.
- FGM operates on a multidimensional phenotypic landscape, effectively addressing both beneficial and harmful mutations while considering mutation and epistatic interactions.
- The review discusses FGM's properties, examines experimental data supporting the model, and explores future research directions to integrate FGM with molecular aspects of adaptation.
Article Abstract
The accumulation of data on the genomic bases of adaptation has triggered renewed interest in theoretical models of adaptation. Among these models, Fisher Geometric Model (FGM) has received a lot of attention over the last two decades. FGM is based on a continuous multidimensional phenotypic landscape, but it is for the emerging properties of individual mutation effects that it is mostly used. Despite an apparent simplicity and a limited number of parameters, FGM integrates a full model of mutation and epistatic interactions that allows the study of both beneficial and deleterious mutations, and subsequently the fate of evolving populations. In this review, I present the different properties of FGM and the qualitative and quantitative support they have received from experimental evolution data. I later discuss how to estimate the different parameters of the model and outline some future directions to connect FGM and the molecular determinants of adaptation.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699269 | PMC |
| http://dx.doi.org/10.1146/annurev-ecolsys-120213-091846 | DOI Listing |
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