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Evolutionary branching in a stochastic population model with discrete mutational steps

Författare och institution:
Serik Sagitov (Institutionen för matematiska vetenskaper, matematisk statistik, Chalmers/GU); Bernhard Mehlig (Institutionen för fysik (GU)); Peter Jagers (Institutionen för matematiska vetenskaper, matematisk statistik, Chalmers/GU); V Vatutin (-)
Publicerad i:
Theoretical Population Biology, 83 s. 145-154
ISSN:
0040-5809
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2013
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
Evolutionary branching is analysed in a stochastic, individual-based population model under mutation and selection. In such models, the common assumption is that individual reproduction and life career are characterised by values of a trait, and also by population sizes, and that mutations lead to small changes ϵ in trait value. Then, traditionally, the evolutionary dynamics is studied in the limit ϵ→0. In the present approach, small but non-negligible mutational steps are considered. By means of theoretical analysis in the limit of infinitely large populations, as well as computer simulations, we demonstrate how discrete mutational steps affect the patterns of evolutionary branching. We also argue that the average time to the first branching depends in a sensitive way on both mutational step size and population size.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Matematik
NATURVETENSKAP ->
Fysik
NATURVETENSKAP ->
Biologiska vetenskaper
Nyckelord:
Evolutionary branching, Genetic drift, Selection, Adaptation
Postens nummer:
163767
Posten skapad:
2012-09-23 12:21
Posten ändrad:
2016-07-11 14:13

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