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Comparative analysis of SNP candidates in disparate milk yielding river buffaloes using targeted sequencing.
Menon, Ramesh; Patel, Anand B; Joshi, Chaitanya.
Afiliación
  • Menon R; Department of Animal Biotechnology, Anand Agricultural University, Anand, India.
  • Patel AB; Department of Animal Biotechnology, Anand Agricultural University, Anand, India.
  • Joshi C; Department of Animal Biotechnology, Anand Agricultural University, Anand, India.
PeerJ ; 4: e2147, 2016.
Article en En | MEDLINE | ID: mdl-27441113
ABSTRACT
River buffalo (Bubalus bubalis) milk plays an important role in economy and nutritious diet in several developing countries. However, reliable milk-yield genomic markers and their functional insights remain unexposed. Here, we have used a target capture sequencing approach in three economically important buffalo breeds namely Banni, Jafrabadi and Mehsani, belonging to either high or low milk-yield group. Blood samples were collected from the milk-yield/breed balanced group of 12 buffaloes, and whole exome sequencing was performed using Roche 454 GS-FLX Titanium sequencer. Using an innovative approach namely, MultiCom; we have identified high-quality SNPs specific for high and low-milk yield buffaloes. Almost 70% of the reported genes in QTL regions of milk-yield and milk-fat in cattle were present among the buffalo milk-yield gene candidates. Functional analysis highlighted transcriptional regulation category in the low milk-yield group, and several new pathways in the two groups. Further, the discovered SNP candidates may account for more than half of mammary transcriptome changes in high versus low-milk yielding cattle. Thus, starting from the design of a reliable strategy, we identified reliable genomic markers specific for high and low-milk yield buffalo breeds and addressed possible downstream effects.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: PeerJ Año: 2016 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: PeerJ Año: 2016 Tipo del documento: Article País de afiliación: India