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High-density Genotyping reveals Genomic Characterization, Population Structure and Genetic Diversity of Indian Mithun (Bos frontalis).

Anupama MukherjeeSabyasachi MukherjeeRajan DhakalMoonmoon MechImsusosang LongkumerNazrul HaqueKezhavituo VupruKobu KhateI Yanger JamirPursenla PongenChandan RajkhowaAbhijit MitraBernt GuldbrandtsenGoutam Sahana
Published in: Scientific reports (2018)
The current study aimed at genomic characterization and improved understanding of genetic diversity of two Indian mithun populations (both farm, 48 animals and field, 24 animals) using genome wide genotype data generated with Illumina BovineHD BeadChip. Eight additional populations of taurine cattle (Holstein and NDama), indicine cattle (Gir) and other evolutionarily closely related species (Bali cattle, Yak, Bison, Gaur and wild buffalo) were also included in this analysis (N = 137) for comparative purposes. Our results show that the genetic background of mithun populations was uniform with few possible signs of indicine admixture. In general, observed and expected heterozygosities were quite similar in these two populations. We also observed increased frequencies of small-sized runs of homozygosity (ROH) in the farm population compared to field mithuns. On the other hand, longer ROH were more frequent in field mithuns, which suggests recent founder effects and subsequent genetic drift due to close breeding in farmer herds. This represents the first study providing genetic evidence about the population structure and genomic diversity of Indian mithun. The information generated will be utilized for devising suitable breeding and conservation programme for mithun, an endangered bovine species in India.
Keyphrases
  • genetic diversity
  • genome wide
  • copy number
  • high density
  • dna methylation
  • healthcare
  • randomized controlled trial
  • clinical trial
  • machine learning
  • health information
  • big data