Mithun (Bos frontalis) is an endangered domestic bovine species native to the hilly areas of China, Bangladesh, Myanmar, Bhutan and India. It is believed to have been domesticated from gaur around 8000 years ago. However, a few studies suggest that mithun is either an independent species or a hybrid descendant of gaur and cattle. Therefore, to understand the evolutionary history of mithun, the complete mitochondrial genome of Indian mithun was sequenced and compared with the mitochondrial genome of closely related Bos species. The mitochondrial genome of mithun was 16,346 bp long and consisted of 22 tRNA genes, 13 protein-coding genes, 2 rRNA genes, and a control region. The phylogenetic assessments of Indian mithun along with other Bos species showed a very close genetic relationship of Indian mithun with gaur suggesting that Indian mithun might have evolved from gaur.
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http://dx.doi.org/10.1007/s11033-019-04675-0 | DOI Listing |
Indian J Nucl Med
November 2024
Department of Nuclear Medicine and Molecular Imaging, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Mumbai, Maharashtra, India.
Objective: Lu-DOTATATE peptide receptor therapy (PRRT) is an established treatment for patients suffering from neuroendocrine tumors. In the last few years, intra-arterial PRRT is being considered for patients having liver metastatic disease predominantly. The aim of our study is to measure the radiation doses received by the treating intervention radiologists involved in intra-arterial PRRT treatment using Lu-DOTATATE.
View Article and Find Full Text PDFIndian J Dermatol Venereol Leprol
September 2024
Department of Dermatology, Yenepoya Medical College Hospital, Derlakatte, Mangalore, India.
OMICS
October 2024
Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, India.
Identifying genomic regions under selection is essential for understanding the genetic mechanisms driving species evolution and adaptation. Traditional methods often fall short in detecting complex, spatially varying selection signals. Recent advances in deep learning, however, present promising new approaches for uncovering subtle selection signals that traditional methods might miss.
View Article and Find Full Text PDFOMICS
October 2024
Animal Genetics & Breeding Section, Indian Veterinary Research Institute, Izatnagar, India.
Cattle breed identification is crucial for livestock research and sustainable food systems, and advances in genomics and artificial intelligence present new opportunities to address these challenges. This study investigates the identification of the Tharparkar cattle breed using genomics tools combined with machine learning (ML) techniques. By leveraging data from the Bovine SNP 50K chip, we developed a breed-specific panel of single nucleotide polymorphisms (SNPs) for Tharparkar cattle and integrated data from seven other Indian cattle populations to enhance panel robustness.
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