Genomic tools for new insights to variation, adaptation, and evolution in the salmonid fishes: a perspective for charr

Elmer, K. R. (2016) Genomic tools for new insights to variation, adaptation, and evolution in the salmonid fishes: a perspective for charr. Hydrobiologia, 783(1), pp. 191-208. (doi: 10.1007/s10750-015-2614-5)

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The past few years have seen an absolute revolution in genomic technologies and their potential applications to ecology and evolutionary biology research. Such advances open up a range of opportunities for research on non-model organisms and individuals drawn from wild populations. This has resulted in exciting new research seeking to identify the genetic polymorphisms important in adaptation and speciation and how they are organised within the genome. Building on this, there is great interest in the extent to which similar evolutionary patterns are found across multiple populations, particularly whether consistent genetic mechanisms are associated with recurrent phenotypes. A powerful context for disentangling these mechanisms is to focus on highly diverse radiations, where phenotypes vary in and across environments. Therefore, the high diversity found within and among species of salmonid fishes such as charr (Salvelinus) make for an ideal ‘non’-model for genomic research. This paper outlines some of the current approaches available in ecological genomics and highlights some recent advances in salmonid research. It also suggests avenues for the sort of predictions that can be derived from ecological genomics, with the aim of understanding the genetics behind the fantastic diversity of salmonid fishes.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Elmer, Professor Kathryn
Authors: Elmer, K. R.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Hydrobiologia
ISSN (Online):1573-5117
Published Online:05 February 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Hydrobiologia 783(1):191-208
Publisher Policy:Reproduced under a Creative Commons License

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