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Putatively Adaptive and Genome-Wide Genetic Variation Often Rank Populations as Similarly Distinctive
Avneet K Chhina1, Philippe Fernandez-Fournier1, Jayme M M Lewthwaite2,3
1Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.
Prioritizing populations for genetic diversity is complex. This study finds that genome-wide genetic data generally aligns with adaptive genetic data for identifying key populations, suggesting a cost-effective conservation strategy.
Area of Science:
- Conservation Genetics
- Population Genetics
- Genomics
Background:
- Identifying priority populations for conservation is crucial for maintaining species' genetic diversity and adaptive capacity.
- Two main approaches exist: prioritizing adaptive genetic variation or genome-wide variation, with mixed evidence on their congruence.
- Limitations in identifying adaptive variation and predicting future needs complicate targeted approaches.
Purpose of the Study:
- To directly test the congruence between population prioritizations based on genome-wide versus putatively adaptive genetic variation.
- To determine if subsets of genome-wide single nucleotide polymorphisms (SNPs) identify similar distinctive populations as do genome-wide SNPs.
- To evaluate the reliability of genome-wide data for conservation prioritization.
Main Methods:
- Compiled genome-wide and putatively adaptive SNP data from 34 published plant and animal studies.
- Quantified population distinctiveness using the Shapley value.
- Compared population rankings derived from genome-wide SNPs against those from putatively adaptive SNPs.
Main Results:
- Genome-wide and putatively adaptive SNPs generally agree on which populations to prioritize for conservation.
- The degree of agreement is influenced by the proportion of putatively adaptive SNPs in the dataset.
- Surprisingly, the agreement between adaptive and genome-wide SNPs was stronger than expected compared to random SNP sets.
Conclusions:
- Using genome-wide genetic variation is a robust and cost-effective strategy for prioritizing populations to conserve adaptive potential.
- This approach can safeguard species-level genetic variation essential for ongoing adaptation.
- Findings support the broader application of genome-wide data in conservation planning.
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