AI Article Synopsis

  • * Researchers used whole-genome sequencing to analyze 25 fat-related QTLs across various indigenous breeds and found 20 genes with nonsynonymous substitutions.
  • * A distinct SNP pattern was identified in high-milk-yielding breeds, confirming significant genetic differences in fat QTLs compared to low-milk-yielding breeds through pyrosequencing.

Article Abstract

The effect of breed on milk components-fat, protein, lactose, and water-has been observed to be significant. As fat is one of the major price-determining factors for milk, exploring the variations in fat QTLs across breeds would shed light on the variable fat content in their milk. Here, on whole-genome sequencing, 25 differentially expressed hub or bottleneck fat QTLs were explored for variations across indigenous breeds. Out of these, 20 genes were identified as having nonsynonymous substitutions. A fixed SNP pattern in high-milk-yielding breeds in comparison to low-milk-yielding breeds was identified in the genes and and, vice versa, in the genes , and . The identified SNPs were ratified by pyrosequencing to prove that key differences exist in fat QTLs between the high- and low-milk-yielding breeds.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000039PMC
http://dx.doi.org/10.3390/ani13050884DOI Listing

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