ArticleScientific reports2026
Whole genome resequencing reveals the genetic basis of stature in short-statured Indian cattle.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
India possesses a rich diversity of indigenous cattle that are well adapted to varied agro-climatic regions. These populations exhibit remarkable variation in stature (height at withers), ranging from short-statured types such as Vechur, Punganur, Malnad Gidda, and Khariar to tall and heavy breeds like Kankrej, Ongole and other milch breeds (Sahiwal, Gir, etc.). The short-statured breeds offer potential advantages in feed efficiency, disease resilience, and cultural value besides being economical to maintain. However, their genetic basis for stature remains underexplored. This study leverages whole-genome resequencing (WGS) data on short-statured (n = 19) and tall (Kankrej as representative; n = 19) Indian cattle to delineate the copy number variation (CNV) landscape and selection signatures underpinning stature divergence. Post-quality control, CNVs were detected from duplicate-marked bam files using CNVnator with read-depth methodology, filtered (q0 < 0.5, p < 0.01, size 1 kb-5 Mb), and concatenated into CNV regions (CNVRs). Selection signatures were identified using cross population extended haplotype homozygosity (XP-EHH) methodology for inter-population comparison of short-statured cattle with tall cohort. Genes harboured under CNVRs and sweep windows were annotated using GALLO, with functional mining from literature databases. In short-statured cattle, 41,913 CNVs were concatenated into 10,075 CNVRs, with 8.01% genomic coverage. A total of 25 genes were found to be common across two analyses i.e., unique (non-overlapping) CN regions in 70% short-statured individuals and scan of selection signature. Key genes across the analyses included IGF1R (cell proliferation), FGFR3 (skeletal growth), SOX6 (body size), EXT2/LGR4 (bone density), PRKCD (developmental regulation), ADAMTSL2 (extracellular matrix integrity), SLC25A6 (glucose metabolism), and SDHA (energy supply). Unique non-overlapping copy number regions (e.g., 78 regions found in 100% of dwarf individuals) harbored several genes, including ARL13B (osteogenesis), AXIN2 (bone remodeling), CCND2 (myogenesis), and TNNT1 (muscle contraction). This comprehensive CNV map and scan for signatures of selection unveil stature-associated genomic variants, informing conservation strategies for threatened short-statured breeds by enhancing their socio-economic value through targeted breeding. The findings underscore CNVs as pivotal drivers of phenotypic diversity in cattle populations, with implications for livestock genomics and sustainable agriculture.
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