Aquatic Landscape Genomics and Environmental Effects on Genetic Variation

Jared A. Grummer; Luciano B. Beheregaray; Louis Bernatchez; Brian K. Hand; Gordon Luikart; Shawn R. Narum; Eric B. Taylor

doi:10.1016/j.tree.2019.02.013

Aquatic Landscape Genomics and Environmental Effects on Genetic Variation

Jared A. Grummer, Luciano B. Beheregaray, Louis Bernatchez, Brian K. Hand, Gordon Luikart, Shawn R. Narum, Eric B. Taylor

Flathead Lake Biological Station

Research output: Contribution to journal › Review article › peer-review

95 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	641-654
Number of pages	14
Journal	Trends in Ecology and Evolution
Volume	34
Issue number	7
DOIs	https://doi.org/10.1016/j.tree.2019.02.013
State	Published - Jul 2019

Keywords

adaptive capacity
conservation
fragmentation
gene flow
riverscape genetics
seascape

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.tree.2019.02.013

Cite this

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title = "Aquatic Landscape Genomics and Environmental Effects on Genetic Variation",

abstract = "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.",

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T1 - Aquatic Landscape Genomics and Environmental Effects on Genetic Variation

AU - Grummer, Jared A.

AU - Beheregaray, Luciano B.

AU - Bernatchez, Louis

AU - Hand, Brian K.

AU - Luikart, Gordon

AU - Narum, Shawn R.

AU - Taylor, Eric B.

PY - 2019/7

Y1 - 2019/7

N2 - 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.

AB - 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.

KW - adaptive capacity

KW - conservation

KW - fragmentation

KW - gene flow

KW - riverscape genetics

KW - seascape

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JO - Trends in Ecology and Evolution

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Aquatic Landscape Genomics and Environmental Effects on Genetic Variation

Abstract

Keywords

UN SDGs

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