| Literature DB >> 32635865 |
Katy Morgan1, Jean-François Mboumba2, Stephan Ntie2, Patrick Mickala2, Courtney A Miller1, Ying Zhen3, Ryan J Harrigan3, Vinh Le Underwood3, Kristen Ruegg3, Eric B Fokam4, Geraud C Tasse Taboue4, Paul R Sesink Clee5, Trevon Fuller3, Thomas B Smith3, Nicola M Anthony1.
Abstract
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 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, vegetation structure is also an important determinant of craniometric variation. 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 also 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 may be the most susceptible to climate change.Entities:
Keywords: climate change; ecotones; generalized dissimilarity modelling; gradient forest; landscape genomics; population genomics
Mesh:
Year: 2020 PMID: 32635865 PMCID: PMC7423474 DOI: 10.1098/rspb.2020.0449
Source DB: PubMed Journal: Proc Biol Sci ISSN: 0962-8452 Impact factor: 5.349