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Characterization of runs of Homozygosity revealed genomic inbreeding and patterns of selection in indigenous sahiwal cattle.
Illa, Satish Kumar; Mumtaz, Shabahat; Nath, Sapna; Mukherjee, Sabyasachi; Mukherjee, Anupama.
Afiliación
  • Illa SK; Livestock Research Station, Garividi, Sri Venkateswara Veterinary University, Tirupati, Andhra Pradesh State, India.
  • Mumtaz S; Animal Husbandry Department, Kolkata, West Bengal State, India.
  • Nath S; College of Veterinary Science, Garividi, Sri Venkateswara Veterinary University, Tirupati, Andhra Pradesh State, India.
  • Mukherjee S; Animal Genetics & Breeding Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute (NDRI), Karnal, Haryana State, India. sabayasachimukherje@gmail.com.
  • Mukherjee A; Animal Genetics & Breeding Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute (NDRI), Karnal, Haryana State, India. writetoanupama@gmail.com.
J Appl Genet ; 65(1): 167-180, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38110827
ABSTRACT
Runs of homozygosity (ROH) are contiguous genomic regions, homozygous across all sites which arise in an individual due to the parents transmitting identical haplotypes to their offspring. The genetic improvement program of Sahiwal cattle after decades of selection needs re-assessment of breeding strategy and population phenomena. Hence, the present study was carried out to optimize input parameters in PLINK for ROH estimates, to explore ROH islands and assessment of pedigree and genome-based inbreeding in Sahiwal cattle. The sliding window approach with parameters standardized to define ROH for the specific population under study was used for the identification of runs. The optimum maximum gap, density, window-snp and window-threshold were 250 Kb, 120 Kb/SNP, 10, 0.05 respectively and ROH patterns were also characterized. ROH islands were defined as the short homozygous genomic regions shared by a large proportion of individuals in a population, containing significantly higher occurrences of ROH than the population specific threshold level. These were identified using the -homozyg-group function of the PLINK v1.9 program. Our results indicated that the Islands of ROH harbor a few candidate genes, ACAD11, RFX4, BANP, UBA5 that are associated with major economic traits. The average FPED (Pedigree based inbreeding coefficient), FROH (Genomic inbreeding coefficient), FHOM (Inbreeding estimated as the ratio of observed and expected homozygous genotypes), FGRM (Inbreeding estimated on genomic relationship method) and FGRM0.5 (Inbreeding estimated from the diagonal of a GRM with allele frequencies near to 0.5) were 0.009, 0.091, 0.035, -0.104 and -0.009, respectively. Our study revealed the optimum parameter setting in PLINK viz. maximal gaps between two SNPs, minimal density of SNPs in a segment (in kb/SNP) and scanning window size to identify ROH segments, which will enable ROH estimation more efficient and comparable across various SNP genotyping-based studies. The result further emphasized the significant role of genomics in unraveling population diversity, selection signatures and inbreeding in the ongoing Sahiwal breed improvement programs.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Endogamia Límite: Animals / Humans Idioma: En Revista: J Appl Genet Asunto de la revista: GENETICA Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Endogamia Límite: Animals / Humans Idioma: En Revista: J Appl Genet Asunto de la revista: GENETICA Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido