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The Genomic Basis of Adaptation to High Elevations in Africanized Honey Bees

Authors :
Everitt, Turid
Wallberg, Andreas
Christmas, Matthew
Olsson, Anna
Hoffmann, Wolfgang
Neumann, Peter
Webster, Matthew Thomas
Everitt, Turid
Wallberg, Andreas
Christmas, Matthew
Olsson, Anna
Hoffmann, Wolfgang
Neumann, Peter
Webster, Matthew Thomas
Publication Year :
2023

Abstract

A range of different genetic architectures underpin local adaptation in nature. Honey bees (Apis mellifera) in the Eastern African Mountains harbor high frequencies of two chromosomal inversions that likely govern adaptation to this high-elevation habitat. In the Americas, honey bees are hybrids of European and African ancestries and adaptation to latitudinal variation in climate correlates with the proportion of these ancestries across the genome. It is unknown which, if either, of these forms of genetic variation governs adaptation in honey bees living at high elevations in the Americas. Here, we performed whole-genome sequencing of 29 honey bees from both high- and low-elevation populations in Colombia. Analysis of genetic ancestry indicated that both populations were predominantly of African ancestry, but the East African inversions were not detected. However, individuals in the higher elevation population had significantly higher proportions of European ancestry, likely reflecting local adaptation. Several genomic regions exhibited particularly high differentiation between highland and lowland bees, containing candidate loci for local adaptation. Genes that were highly differentiated between highland and lowland populations were enriched for functions related to reproduction and sperm competition. Furthermore, variation in levels of European ancestry across the genome was correlated between populations of honey bees in the highland population and populations at higher latitudes in South America. The results are consistent with the hypothesis that adaptation to both latitude and elevation in these hybrid honey bees are mediated by variation in ancestry at many loci across the genome.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1428019892
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1093.gbe.evad157