Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula

• Autores: Henriques, Dora, Wallberg, Andreas, Chávez Galarza, Julio César, Johnston, J. Spencer, Webster, Matthew, Pinto, María Alice
• Formato: artículo
• Fecha de Publicación: 2018
• Institución: Instituto Nacional de Innovación Agraria
• Repositorio: INIA-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:null:20.500.12955/1223
• Enlace del recurso: https://repositorio.inia.gob.pe/handle/20.500.12955/1223; https://doi.org/10.1038/s41598-018-29469-5
• Nivel de acceso: acceso abierto
• Materia: Honeybee; Apis mellifera L.; Iberian Peninsula; Genome SNP-associated; Genes; Otras ciencias agrícolas

The availability of powerful high-throughput genomic tools, combined with genome scans, has helped identifying genes and genetic changes responsible for environmental adaptation in many organisms, including the honeybee. Here, we resequenced 87 whole genomes of the honeybee native to Iberia and used conceptually different selection methods (Samβada, LFMM, PCAdapt, iHs) together with in sillico protein modelling to search for selection footprints along environmental gradients. We found 670 outlier SNPs, most of which associated with precipitation, longitude and latitude. Over 88.7% SNPs laid outside exons and there was a significant enrichment in regions adjacent to exons and UTRs. Enrichment was also detected in exonic regions. Furthermore, in silico protein modelling suggests that several non-synonymous SNPs are likely direct targets of selection, as they lead to amino acid replacements in functionally important sites of proteins. We identified genomic signatures of local adaptation in 140 genes, many of which are putatively implicated in fitness-related functions such as reproduction, immunity, olfaction, lipid biosynthesis and circadian clock. Our genome scan suggests that local adaptation in the Iberian honeybee involves variations in regions that might alter patterns of gene expression and in protein-coding genes, which are promising candidates to underpin adaptive change in the honeybee.