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Published on: January 9, 2017
Aquatic Landscape Genomics and Environmental Effects on Genetic Variation
Jared A Grummer1, Luciano B Beheregaray2, Louis Bernatchez3
1Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum, University of British Columbia, 6270 University Boulevard, Vancouver, BC V6T 1Z4, Canada.
This study offers a roadmap for aquatic landscape genomics, addressing a gap in research beyond terrestrial systems. It guides researchers on planning, sampling, and analysis for aquatic populations to understand genetic diversity and conservation needs.
Area of Science:
- Ecology
- Genomics
- Conservation Biology
Background:
- Landscape genomics research is heavily focused on terrestrial systems, overlooking aquatic environments.
- Aquatic species are vital for biodiversity, food security, and conservation, yet understudied in landscape genomics.
- Unique aquatic properties necessitate tailored approaches for genetic studies.
Purpose of the Study:
- To provide a roadmap for planning and executing aquatic landscape genomics projects.
- To aggregate essential spatial and software resources for researchers.
- To offer recommendations and caution against analytical pitfalls in aquatic genomics.
Main Methods:
- Review and aggregation of spatial and software resources relevant to aquatic genomics.
- Development of recommendations for sampling, data production, and analysis strategies.
- Discussion of unique freshwater and marine properties impacting genetic assessments.
Main Results:
- Identification of key considerations for freshwater and marine system structures.
- Emphasis on assessing genetic diversity, population connectivity, and natural selection signals.
- Recommendation to parse genomic datasets into neutral, adaptive, and sex-linked components.
Conclusions:
- A comprehensive roadmap is provided to advance aquatic landscape genomics research.
- Consideration of aquatic-specific properties is crucial for accurate eco-evolutionary inferences.
- Parsing genomic data enhances the precision of understanding population dynamics and adaptation.
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