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Publication
Competition and fixation of cohorts of adaptive mutations under Fisher geometrical model
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| artigo principal | 2.48 MB | Adobe PDF | ||
| material suplementar 1 | 77.45 KB | Adobe PDF | ||
| material suplementar 2 | 344.56 KB | Adobe PDF | ||
| material suplementar 3 | 2.63 MB | Adobe PDF | ||
| material suplementar 4 | 177.42 KB | Adobe PDF |
Advisor(s)
Abstract(s)
One of the simplest models of adaptation to a new environment is Fisher's Geometric Model (FGM), in which populations move on a multidimensional landscape defined by the traits under selection. The predictions of this model have been found to be consistent with current observations of patterns of fitness increase in experimentally evolved populations. Recent studies investigated the dynamics of allele frequency change along adaptation of microbes to simple laboratory conditions and unveiled a dramatic pattern of competition between cohorts of mutations, i.e., multiple mutations simultaneously segregating and ultimately reaching fixation. Here, using simulations, we study the dynamics of phenotypic and genetic change as asexual populations under clonal interference climb a Fisherian landscape, and ask about the conditions under which FGM can display the simultaneous increase and fixation of multiple mutations-mutation cohorts-along the adaptive walk. We find that FGM under clonal interference, and with varying levels of pleiotropy, can reproduce the experimentally observed competition between different cohorts of mutations, some of which have a high probability of fixation along the adaptive walk. Overall, our results show that the surprising dynamics of mutation cohorts recently observed during experimental adaptation of microbial populations can be expected under one of the oldest and simplest theoretical models of adaptation-FGM.
Description
Keywords
Fisher Geometric Model Clonal interference Genetic hitchiking Natural selection
Citation
Moura de Sousa et al. (2016), Competition and fixation of cohorts of adaptive mutations under Fisher geometri- cal model. PeerJ 4:e2256; DOI 10.7717/peerj.2256