Aquatic Landscape Genomics and Environmental Effects on Genetic Variation.

Autor: Grummer JA; Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum, University of British Columbia, 6270 University Boulevard, Vancouver, BC V6T 1Z4, Canada. Electronic address: grummer@zoology.ubc.ca., Beheregaray LB; Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia., Bernatchez L; Institut de Biologie Intégrative et des Systèmes, Université Laval, 1030 Avenue de la Médecine, Québec, QC G1V 0A6, Canada. Electronic address: http://www.twitter.com/LouBernatchez., Hand BK; Flathead Lake Biological Station, Division of Biological Sciences, University of Montana 32125 Bio Station Lane, Polson, MT 59860, USA., Luikart G; Flathead Lake Biological Station, Division of Biological Sciences, University of Montana 32125 Bio Station Lane, Polson, MT 59860, USA., Narum SR; Columbia River Inter-Tribal Fish Commission, 3059F National Fish Hatchery Road, Hagerman, ID 83332, USA; Department of Fish and Wildlife Sciences, University of Idaho, 975 West 6th Street, Moscow, ID 83844, USA., Taylor EB; Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum, University of British Columbia, 6270 University Boulevard, Vancouver, BC V6T 1Z4, Canada.
Jazyk: angličtina
Zdroj: Trends in ecology & evolution [Trends Ecol Evol] 2019 Jul; Vol. 34 (7), pp. 641-654. Date of Electronic Publication: 2019 Mar 20.
DOI: 10.1016/j.tree.2019.02.013
Abstrakt: Aquatic species represent a vast diversity of metazoans, provide humans with the most abundant animal protein source, and are of increasing conservation concern, yet landscape genomics is dominated by research in terrestrial systems. We provide researchers with a roadmap to plan aquatic landscape genomics projects by aggregating spatial and software resources and offering recommendations from sampling to data production and analyses, while cautioning against analytical pitfalls. Given the unique properties of water, we discuss the importance of considering freshwater system structure and marine abiotic properties when assessing genetic diversity, population connectivity, and signals of natural selection. When possible, genomic datasets should be parsed into neutral, adaptive, and sex-linked datasets to generate the most accurate inferences of eco-evolutionary processes.
(Copyright © 2019 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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