Precipitation and vegetation shape patterns of genomic and craniometric variation in the Central African rodent Praomys misonnei
Creators
- 1. University of New Orleans
- 2. Université des sciences et techniques de Masuku
- 3. University of California, Los Angeles
- 4. University of Buea
- 5. Drexel University
Description
Predicting species capacity to respond to climate change is an essential first step in developing effective conservation strategies. However, conservation prioritization schemes rarely take evolutionary potential into account. Ecotones provide important opportunities for diversifying selection and may thus constitute important reservoirs of standing variation, increasing the capacity for future adaptation. Here we map patterns of environmentally-associated genomic and craniometric variation in the central African rodent Praomys misonnei to identify areas with the greatest turnover in genomic composition. We also project patterns of environmentally-associated genomic variation under future climate change scenarios to determine where populations may be under the greatest pressure to adapt. While precipitation gradients influence both genomic and craniometric variation, craniometric variation is also affected by changes in vegetation structure. Areas of elevated environmentally-associated genomic and craniometric variation overlap with zones of rapid ecological transition underlining their importance as reservoirs of evolutionary potential. We find that populations in the Sanaga river basin, central Cameroon and coastal Gabon are likely to be under the greatest pressure from climate change. Lastly, we make specific conservation recommendations on how to protect zones of high evolutionary potential and identify areas where populations will be the most susceptible to climate change.
Notes
The genomic data is stored in a VCF file ("m3M3n4_allpops_FinalSNPset.vcf"). The GPS coordinates for sampling localities are stored in a separate text file ("GPS_coords.txt").
The morphometric data includes raw landmark data ("Dorsal_Raw_skull_data.csv" and "Ventral_Raw_skull_data.csv") as well as the first three principal components describing each of dorsal ("Dorsal_PCscores.csv") and ventral ("Ventral_PCscores.csv") skull shape.
Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: OISE 1243524
Files
Dorsal_PCscores.csv
Files
(53.9 MB)
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