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Population genetics revisited - towards a multidisciplinary research field

Authors :
Leonardo Dapporto
Aurélien Tellier
Jan Christian Habel
Frank E. Zachos
Dennis Rödder
Thomas Schmitt
Ute Radespiel
Source :
Biological Journal of the Linnean Society. 115:1-12
Publication Year :
2015
Publisher :
Oxford University Press (OUP), 2015.

Abstract

Population genetic research has transformed from the study of genetic structures into a much wider and highly multidisciplinary research field. In this contribution, we outline the limitations of classic population genetic data and highlight the potential of combining molecular data with additional environmental, ecological and biological data sets in multidisciplinary approaches. The combination of data sets from various fields allows a more comprehensive understanding of extrinsic and intrinsic evolutionary processes affecting populations such as the distinction between genetic drift and natural selection. The integration of population size estimates and demographic dynamics as well as individual behaviour (embracing aspects like dispersal behaviour) allows for testing of adaptations to local environments and understanding time-lags frequently observed in molecular data. Modelling approaches are integrated at increasing rates into population genetic research to identify potential barriers and corridors. In our review, we therefore highlight multiple synergistic effects when combining population genetic data with morphological, ecological, behavioural data and modelling. We outline strengths and limitations and indicate future possibilities and challenges. © 2015 The Linnean Society of London, Biological Journal of the Linnean Society, 2015, 115, 1–12.

Details

ISSN :
00244066
Volume :
115
Database :
OpenAIRE
Journal :
Biological Journal of the Linnean Society
Accession number :
edsair.doi...........02a1432550924be23c82a4fb94e2fa05