The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Harnessing genomics for delineating conservation units
Open accessAbstract
Genomic data have the potential to revolutionize the delineation of conservation units (CUs) by allowing the detection of adaptive genetic variation, which is otherwise difficult for rare, endangered species. In contrast to previous recommendations, we propose that the use of neutral versus adaptive markers should not be viewed as alternatives. Rather, neutral and adaptive markers provide different types of information that should be combined to make optimal management decisions. Genetic patterns at neutral markers reflect the interaction of gene flow and genetic drift that affects genome-wide variation within and among populations. This population genetic structure is what natural selection operates on to cause adaptive divergence. Here, we provide a new framework to integrate data on neutral and adaptive markers to protect biodiversity.
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Cites
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A Mathematical Theory of Natural and Artificial Selection, Part V: Selection and Mutation
Haldane, J. B. S. (1927) · Mathematical Proceedings of the Cambridge Philosophical Society · doi:10.1017/s0305004100015644 · Cited by 1,326
SNPs in ecology, evolution and conservation
Morin, P. A., Luikart, G., Wayne, R. K., & the SNP workshop group (2004) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2004.01.009 · Cited by 1,080
The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation
Pritchard, J. K., Pickrell, J. K., & Coop, G. (2010) · Current Biology · doi:10.1016/j.cub.2009.11.055 · Cited by 932
The role of geography in human adaptation
Coop, G., Pickrell, J. K., Novembre, J., Kudaravalli, S., Li, J., Absher, D., Myers, R. M., Cavalli-Sforza, L. L., Feldman, M. W., & Pritchard, J. K. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000500 · Cited by 412
Cited by
Finding the genomic basis of local adaptation: pitfalls, practical solutions, and future directions
Hoban, S., Kelley, J. L., Lotterhos, K. E., Antolin, M. F., Bradburd, G., Lowry, D. B., Poss, M. L., Reed, L. K., Storfer, A., & Whitlock, M. C. (2016) · The American Naturalist · doi:10.1086/688018 · Cited by 876
“…in agriculture, forestry, and fi sheries and can improve management decisions for threatened species by predicting the performance of a genotype in a new en-* vironment (Funk et al. 2012; Aitken and Whitlock 2013; Li et al. 2014; Yoder et al. 2014; Lasky et al. 2015; Hamilton and Miller 2016).”
Whiteley, A. R., Fitzpatrick, S. W., Funk, W. C., & Tallmon, D. A. (2015) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2014.10.009 · Cited by 813
Self-citationPopulation genomics for wildlife conservation and management
Hohenlohe, P. A., Funk, W. C., & Rajora, O. P. (2021) · Molecular Ecology · doi:10.1111/mec.15720 · Cited by 702
Self-citationCoates, D. J., Byrne, M., & Moritz, C. (2018) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2018.00165 · Cited by 460
Conserving intraspecific variation for nature’s contributions to people
Des Roches, S., Pendleton, L. H., Shapiro, B., & Palkovacs, E. P. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01403-5 · Cited by 253
Metadata
- Authors
- Funk, W. C., McKay, J. K., Hohenlohe, P. A., & Allendorf, F. W.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 2012-09
- Volume
- 27
- Issue
- 9
- Pages
- 489-496
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2028256931
- Cited by
- 1,117
- References
- 5
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- green
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- Funk, W. C., McKay, J. K., Hohenlohe, P. A., & Allendorf, F. W. (2012). Harnessing genomics for delineating conservation units. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2012.05.012
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
