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 | |
| State | Published - Jul 2019 |
Funding
This work was supported in part by Genome Canada and Genome British Columbia (project code 242RTE). B.K.H. and G.L. were supported in part by funds provided by National Science Foundation grant DEB-1639014 and NASA grant NNX14AB84G , and we thank the Australian Research Council for a Future Fellowship ( FT130101068 ) to L.B.B. We also thank C. Brauer and M. Whitlock for providing comments on an earlier version of the manuscript, and F. Allendorf for sending helpful publications and ideas on the origins of landscape genetic approaches.
| Funders | Funder number |
|---|---|
| 1639014, DEB-1639014 | |
| National Aeronautics and Space Administration | NNX14AB84G |
| Genome Canada | |
| 242RTE | |
| Australian Research Council | FT130101068 |
Keywords
- adaptive capacity
- conservation
- fragmentation
- gene flow
- riverscape genetics
- seascape
