About: We consider a population evolving due to mutation, selection, genetic drift and recombination, where selection is only two-loci terms (pairwise epistatic fitness). We further consider the problem of inferring fitness in the evolutionary dynamics from one or several snap-shots of the distribution of genotypes in the population. We show that this is possible using a recently developed theory that relates parameters of such a distribution to parameters of the evolutionary dynamics. This extends classical results on the Quasi-Linkage Equilibrium (QLE) regime first obtained by Kimura, and more recently studied by Neher and Shraiman. In particular, the new theory outperforms the Kimura-Neher-Shraiman theory in the interesting regime where the effects of mutations are comparable to or larger than recombination. Additionally, it can work when recombination is absent. The findings are validated through numerical simulations.   Goto Sponge  NotDistinct  Permalink

An Entity of Type : fabio:Abstract, within Data Space : covidontheweb.inria.fr associated with source document(s)

AttributesValues
type
value
  • We consider a population evolving due to mutation, selection, genetic drift and recombination, where selection is only two-loci terms (pairwise epistatic fitness). We further consider the problem of inferring fitness in the evolutionary dynamics from one or several snap-shots of the distribution of genotypes in the population. We show that this is possible using a recently developed theory that relates parameters of such a distribution to parameters of the evolutionary dynamics. This extends classical results on the Quasi-Linkage Equilibrium (QLE) regime first obtained by Kimura, and more recently studied by Neher and Shraiman. In particular, the new theory outperforms the Kimura-Neher-Shraiman theory in the interesting regime where the effects of mutations are comparable to or larger than recombination. Additionally, it can work when recombination is absent. The findings are validated through numerical simulations.
Subject
  • Genetics
  • Population genetics
  • Cellular processes
  • Evolutionary biology
  • Molecular genetics
  • Optimization algorithms and methods
  • Scientific modeling
  • Modification of genetic information
part of
is abstract of
is hasSource of
Faceted Search & Find service v1.13.91 as of Mar 24 2020


Alternative Linked Data Documents: Sponger | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software