Mapping Genomic Adaptation to Environmental Heterogeneity in Indian Native Goat Populations through Landscape Genomics
Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
India harbours a diverse range of indigenous goat breeds that have adapted to varied climatic zones over centuries. This study investigated the genomic basis of local adaptation in these populations divided into seven agro-climatic zones using genome-wide SNP data and century-scale environmental variables. A total of 2,295,833 SNPs and 15 non-collinear bioclimatic predictors were analyzed using the landscape genomics tool R SamBada for genotype–environment association. Models were selected based on G-score and q-value thresholds (q < 0.01). Several loci showed strong signatures of selection, with associated genes enriched in key adaptive pathways, including HIF-1 signalling, insulin signalling, and toll-like receptor pathways. Many important genes and pathways were identified having direct and indirect role in adaptation to specific agro-climatic zone. Only 9 SNP variants showed SIFT score < 0.05 (deleterious) out of which, only 2 variants each harbouring gene PTPRC and PLCB1 were predicted to be deleterious with high confidence. Further downstream technical validate for functionale was done using PTPRC and PLCB1 present in coding region and exhibited significant environmental associations. Missense mutations in these genes were further characterized using I-Mutant, ConSurf, and Phyre2. The PTPRC variant was predicted to reduce protein stability within a moderately conserved immune domain, and structural modelling indicated altered folding in mutant proteins. These adaptive variants likely contribute to resilience against heat, humidity, and pathogen-driven stress. This integrative landscape genomics approach reveals how natural selection and environmental pressures have shaped the adaptive genome of Indian indigenous goats and provides a foundation for marker-assisted selection to enhance climate resilience in future breeding programs. This is the first study pertaining to landscape genomics analysis in indigenous goats.
