Cold adaptation drives population genomic divergence in the ecological specialist, Drosophila montana

Autor: Ralf Axel Wilhelm Wiberg, Michael G. Ritchie, Maaria Kankare, Anneli Hoikkala, Venera Tyukmaeva
Přispěvatelé: NERC, University of St Andrews. Centre for Biological Diversity, University of St Andrews. Institute of Behavioural and Neural Sciences, University of St Andrews. School of Biology, University of St Andrews. St Andrews Bioinformatics Unit
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0301 basic medicine
0106 biological sciences
Candidate gene
Ecological selection
QH301 Biology
01 natural sciences
Genome
Divergence
kylmänkestävyys
Chill coma recovery time
CCRT
D. montana
muuntelu (biologia)
sopeutuminen
0303 health sciences
education.field_of_study
GE
Montana
Ecology
Genomics
genomiikka
geneettinen muuntelu
Cline populations
Environmental adaptation
populaatiogenetiikka
Drosophila
GE Environmental Sciences
mahlakärpäset
Population
QH426 Genetics
Biology
Cold tolerance
010603 evolutionary biology
03 medical and health sciences
QH301
Genetics
Animals
education
QH426
Ecology
Evolution
Behavior and Systematics

CTmin
030304 developmental biology
Comparative genomics
Whole genome sequencing
Bayes Theorem
DAS
030104 developmental biology
Genetics
Population

Genomic divergence
Metagenomics
Adaptation
DOI: 10.1101/2020.04.20.050450
Popis: Funding: UK Natural Environment Research Council (Grant Number(s): NE/L501852/1, NE/P000592/1); Academy of Finland (GrantNumber(s): 267244, 268214, 322980), Ella ja Georg Ehrnroothin Säätiö. Detecting signatures of ecological adaptation in comparative genomics is challenging, but analysing population samples with characterised geographic distributions, such as clinal variation, can help identify genes showing covariation with important ecological variation. Here, we analysed patterns of geographic variation in the cold-adapted species Drosophila montana across phenotypes, genotypes and environmental conditions and tested for signatures of cold adaptation in population genomic divergence. We first derived the climatic variables associated with the geographic distribution of 24 populations across two continents to trace the scale of environmental variation experienced by the species, and measured variation in the cold tolerance of the flies of six populations from different geographic contexts. We then performed pooled whole genome sequencing of these six populations, and used Bayesian methods to identify SNPs where genetic differentiation is associated with both climatic variables and the population phenotypic measurements, while controlling for effects of demography and population structure. The top candidate SNPs were enriched on the X and fourth chromosomes, and they also lay near genes implicated in other studies of cold tolerance and population divergence in this species and its close relatives. We conclude that ecological adaptation has contributed to the divergence of D. montana populations throughout the genome and in particular on the X and fourth chromosomes, which also showed highest interpopulation FST. This study demonstrates that ecological selection can drive genomic divergence at different scales, from candidate genes to chromosome-wide effects. Publisher PDF
Databáze: OpenAIRE