Scientific Reports (Oct 2021)

In silico identification of variations in microRNAs with a potential impact on dairy traits using whole ruminant genome SNP datasets

  • Céline Bourdon,
  • Mekki Boussaha,
  • Philippe Bardou,
  • Marie-Pierre Sanchez,
  • Sandrine Le Guillou,
  • Thierry Tribout,
  • Hélène Larroque,
  • Didier Boichard,
  • Rachel Rupp,
  • Fabienne Le Provost,
  • Gwenola Tosser-Klopp

DOI
https://doi.org/10.1038/s41598-021-98639-9
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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Abstract MicroRNAs are small noncoding RNAs that have important roles in the lactation process and milk biosynthesis. Some polymorphisms have been studied in various livestock species from the perspective of pathology or production traits. To target variants that could be the causal variants of dairy traits, genetic variants of microRNAs expressed in the mammary gland or present in milk and localized in dairy quantitative trait loci (QTLs) were investigated in bovine, caprine, and ovine species. In this study, a total of 59,124 (out of 28 millions), 13,427 (out of 87 millions), and 4761 (out of 38 millions) genetic variants in microRNAs expressed in the mammary gland or present in milk were identified in bovine, caprine, and ovine species, respectively. A total of 4679 of these detected bovine genetic variants are located in dairy QTLs. In caprine species, 127 genetic variants are localized in dairy QTLs. In ovine species, no genetic variant was identified in dairy QTLs. This study leads to the detection of microRNA genetic variants of interest in the context of dairy production, taking advantage of whole genome data to identify microRNA genetic variants expressed in the mammary gland and localized in dairy QTLs.