論文

査読有り 国際誌
2015年9月

IBSEM: An Individual-Based Atlantic Salmon Population Model

PLOS ONE
  • Marco Castellani
  • ,
  • Mikko Heino
  • ,
  • John Gilbey
  • ,
  • Hitoshi Araki
  • ,
  • Terje Svasand
  • ,
  • Kevin A. Glover

10
9
開始ページ
e0138444
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0138444
出版者・発行元
PUBLIC LIBRARY SCIENCE

Ecology and genetics can influence the fate of individuals and populations in multiple ways. However, to date, few studies consider them when modelling the evolutionary trajectory of populations faced with admixture with non-local populations. For the Atlantic salmon, a model incorporating these elements is urgently needed because many populations are challenged with gene-flow from non-local and domesticated conspecifics. We developed an Individual-Based Salmon Eco-genetic Model (IBSEM) to simulate the demographic and population genetic change of an Atlantic salmon population through its entire life-cycle. Processes such as growth, mortality, and maturation are simulated through stochastic procedures, which take into account environmental variables as well as the genotype of the individuals. IBSEM is based upon detailed empirical data from salmon biology, and parameterized to reproduce the environmental conditions and the characteristics of a wild population inhabiting a Norwegian river. Simulations demonstrated that the model consistently and reliably reproduces the characteristics of the population. Moreover, in absence of farmed escapees, the modelled populations reach an evolutionary equilibrium that is similar to our definition of a 'wild' genotype. We assessed the sensitivity of the model in the face of assumptions made on the fitness differences between farm and wild salmon, and evaluated the role of straying as a buffering mechanism against the intrusion of farm genes into wild populations. These results demonstrate that IBSEM is able to capture the evolutionary forces shaping the life history of wild salmon and is therefore able to model the response of populations under environmental and genetic stressors.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0138444
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201702200250860149
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26383256
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4575158
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000361790200104&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84946593870&origin=inward 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84946593870&origin=inward
ID情報
  • DOI : 10.1371/journal.pone.0138444
  • ISSN : 1932-6203
  • eISSN : 1932-6203
  • J-Global ID : 201702200250860149
  • PubMed ID : 26383256
  • PubMed Central 記事ID : PMC4575158
  • SCOPUS ID : 84946593870
  • Web of Science ID : WOS:000361790200104

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