Literature DB >> 28980357

Signatures of positive selection and local adaptation to urbanization in white-footed mice (Peromyscus leucopus).

Stephen E Harris1, Jason Munshi-South2.   

Abstract

Urbanization significantly alters natural ecosystems and has accelerated globally. Urban wildlife populations are often highly fragmented by human infrastructure, and isolated populations may adapt in response to local urban pressures. However, relatively few studies have identified genomic signatures of adaptation in urban animals. We used a landscape genomic approach to examine signatures of selection in urban populations of white-footed mice (Peromyscus leucopus) in New York City. We analysed 154,770 SNPs identified from transcriptome data from 48 P. leucopus individuals from three urban and three rural populations and used outlier tests to identify evidence of urban adaptation. We accounted for demography by simulating a neutral SNP data set under an inferred demographic history as a null model for outlier analysis. We also tested whether candidate genes were associated with environmental variables related to urbanization. In total, we detected 381 outlier loci and after stringent filtering, identified and annotated 19 candidate loci. Many of the candidate genes were involved in metabolic processes and have well-established roles in metabolizing lipids and carbohydrates. Our results indicate that white-footed mice in New York City are adapting at the biomolecular level to local selective pressures in urban habitats. Annotation of outlier loci suggests selection is acting on metabolic pathways in urban populations, likely related to novel diets in cities that differ from diets in less disturbed areas.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Peromyscus leucopuszzm321990; genome scans; genotype-environment association; landscape genomics; positive selection; transcriptome; urban evolutionary biology; urbanization

Mesh:

Year:  2017        PMID: 28980357      PMCID: PMC5716853          DOI: 10.1111/mec.14369

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  104 in total

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