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Genome-wide mining of diversity and evolutionary signatures revealed selective hotspots in Indian Sahiwal cattle.
Rajawat, Divya; Ghildiyal, Kanika; Sonejita Nayak, Sonali; Sharma, Anurodh; Parida, Subhashree; Kumar, Shive; Ghosh, A K; Singh, Umesh; Sivalingam, Jayakumar; Bhushan, Bharat; Dutt, Triveni; Panigrahi, Manjit.
Afiliación
  • Rajawat D; Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
  • Ghildiyal K; Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
  • Sonejita Nayak S; Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
  • Sharma A; Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
  • Parida S; Pharmacology & Toxicology Division, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
  • Kumar S; Department of Animal Genetics and Breeding, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
  • Ghosh AK; Department of Animal Genetics and Breeding, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
  • Singh U; ICAR Central Institute for Research on Cattle, Meerut, UP, India.
  • Sivalingam J; ICAR-Directorate of Poultry Research, Hyderabad 500030, Telangana, India.
  • Bhushan B; Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
  • Dutt T; Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
  • Panigrahi M; Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India. Electronic address: manjit.panigrahi@icar.gov.in.
Gene ; 901: 148178, 2024 Apr 05.
Article en En | MEDLINE | ID: mdl-38242377
ABSTRACT
The Sahiwal cattle breed is the best indigenous dairy cattle breed, and it plays a pivotal role in the Indian dairy industry. This is due to its exceptional milk-producing potential, adaptability to local tropical conditions, and its resilience to ticks and diseases. The study aimed to identify selective sweeps and estimate intrapopulation genetic diversity parameters in Sahiwal cattle using ddRAD sequencing-based genotyping data from 82 individuals. After applying filtering criteria, 78,193 high-quality SNPs remained for further analysis. The population exhibited an average minor allele frequency of 0.221 ± 0.119. Genetic diversity metrics, including observed (0.597 ± 0.196) and expected heterozygosity (0.433 ± 0.096), nucleotide diversity (0.327 ± 0.114), the proportion of polymorphic SNPs (0.726), and allelic richness (1.323 ± 0.134), indicated ample genomic diversity within the breed. Furthermore, an effective population size of 74 was observed in the most recent generation. The overall mean linkage disequilibrium (r2) for pairwise SNPs was 0.269 ± 0.057. Moreover, a greater proportion of short Runs of Homozygosity (ROH) segments were observed suggesting that there may be low levels of recent inbreeding in this population. The genomic inbreeding coefficients, computed using different inbreeding estimates (FHOM, FUNI, FROH, and FGROM), ranged from -0.0289 to 0.0725. Subsequently, we found 146 regions undergoing selective sweeps using five distinct statistical tests Tajima's D, CLR, |iHS|, |iHH12|, and ROH. These regions, located in non-overlapping 500 kb windows, were mapped and revealed various protein-coding genes associated with enhanced immune systems and disease resistance (IFNL3, IRF8, BLK), as well as production traits (NRXN1, PLCE1, GHR). Notably, we identified interleukin 2 (IL2) on Chr17 35217075-35223276 as a gene linked to tick resistance and uncovered a cluster of genes (HSPA8, UBASH3B, ADAMTS18, CRTAM) associated with heat stress. These findings indicate the evolutionary impact of natural and artificial selection on the environmental adaptation of the Sahiwal cattle population.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Endogamia Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Gene Año: 2024 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Endogamia Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Gene Año: 2024 Tipo del documento: Article País de afiliación: India