ArticleMolecular biology reports2024
Mitochondrial DNA D-loop SNPs unveil molecular signatures of milk production variation in Murrah buffalo.
Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- The Complete Mitochondrial Genome ofBiology · 2026Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Murrah buffalo, pivotal in Asian agriculture, faces challenges in maximizing milk production despite significant breeding efforts. Recognizing its economic importance, this study investigates mtDNA D-loop variations in Murrah buffalo as potential indicators of milk production variability, addressing challenges in maximizing yield despite significant breeding efforts. METHODS AND
resultsAnalyzing mtDNA D-loop sequences from 50 buffaloes, we categorized them into Low (Group 1), Medium (Group 2), and High ECM (Group 3) groups based on milk yields, fat and protein percentage of a 30-day period data. Somatic cell mtDNA D-loop analysis revealed distinct genetic variations, with significant differences among ECM groups. Group 2 showed higher SNP prevalence, group 3 had more insertions/deletions, and Group 1 exhibited the highest transition frequency. Notably, a consistent "C" deletion at the 714th position occurred in Groups 1 and 3, prevalent in 68% of Group 2. A G-A variation at the 93rd position was specific to the medium ECM group. Negative Tajima D values indicated unique variations in each group, with Group 1 having the highest number, and a specific SNP linked to Group 2 was identified. These SNPs in the D-loop region could impact mtDNA replication, influencing mitochondrial content among animals. Our results provide valuable insights into the role of mtDNA D-loop polymorphisms in milk production traits in Murrah buffalo.
conclusionsOur research highlights the potential for valuable markers of cellular energy efficiency in Murrah buffalo. Exploring diverse cytoplasmic backgrounds opens avenues for mtDNA-based selection strategies, enhancing milk production and optimizing genetic traits for the dairy industry.
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