Genodive for genomic data windows driver#

4, 15, 21, 22, thereby limiting the inferences that can be made on the consistency of genomic responses to urbanisation 5. The majority of studies on the genomic basis of urban adaptation have either focused on a limited number of markers and genes 3, 20 or on a narrow geographical scale, e.g., refs. However, the short evolutionary timescale, the dependence of evolution on local factors, and the polygenic nature of many phenotypic traits, make detecting the genomic signals of adaptation difficult 17, 19. The study of the genetic signals of adaptation could provide important insights into the magnitude of the evolutionary change induced by urbanisation on wildlife.

Indeed, there is now evidence that the phenotypic divergence between urban and rural populations may have a genetic basis in some species 14, 15, in line with the finding that micro-evolutionary adaptations in natural populations can occur within short timescales, particularly in response to human activities 16, 17, 18.

7, 8, 9, morphology and locomotion, e.g., refs. These adaptations include changes in behaviour, e.g., refs. Many species show phenotypic adaptations to the multiple urban challenges, such as higher levels of noise, artificial light at night, air pollution, altered food sources or habitat fragmentation 6.

Genodive for genomic data windows driver#

Urban development is rapidly expanding across the globe, and although urbanisation is regarded a major threat for wildlife 1, its potential role as an evolutionary driver of adaptation has not been explored until recently 2, 3, 4, 5.