4.4 Article

Polymorphisms and genetic effects of PRLR, MOGAT1, MINPP1 and CHUK genes on milk fatty acid traits in Chinese Holstein

Journal

BMC GENETICS
Volume 20, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12863-019-0769-1

Keywords

PRLR; MOGAT1; MINPP1; CHUK; Genetic effects; Milk fatty acid traits; Chinese Holstein

Funding

  1. National Natural Science Foundation of China [31802041, 31872330, 31472065, 31072016]
  2. Beijing Dairy Industry Innovation Team [BAIC06-2017/2018]
  3. National Science and Technology Programs of China [2013AA102504, 2014ZX08009-053B]
  4. Beijing Natural Science Foundation [6152013]
  5. Program for Changjiang Scholar and Innovation Research Team in University [IRT_15R62]

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Background Our initial genome-wide association study (GWAS) identified 20 promising candidate genes for milk fatty acid (FA) traits in a Chinese Holstein population, including PRLR, MOGAT1, MINPP1 and CHUK genes. In this study, we performed whether they had significant genetic effects on milk FA traits in Chinese Holstein. Results We re-sequenced the entire exons and 3000 bp of the 5 ' and 3 ' flanking regions, and identified 11 single nucleotide polymorphisms (SNPs), containing four in PRLR, two in MOGAT1, two in MINPP1, and three in CHUK. The SNP-based association analyses showed that all the 11 SNPs were significantly associated with at least one milk FA trait (P = 0.0456 < 0.0001), and none of them had association with C11:0, C13:0, C15:0 and C16:0 (P > 0.05). By the linkage disequilibrium (LD) analyses, we found two, one, one, and one haplotype blocks in PRLR, MOGAT1, MINPP1, and CHUK, respectively, and each haplotype block was significantly associated with at least one milk FA trait (P = 0.0456 < 0.0001). Further, g.38949011G > A in PRLR, and g.111599360A > G and g.111601747 T > A in MOGAT1 were predicted to alter the transcription factor binding sites (TFBSs). A missense mutation, g.39115344G > A, could change the PRLR protein structure. The g.20966385C > G of CHUK varied the binding sequences for microRNAs. Therefore, we deduced the five SNPs as the potential functional mutations. Conclusion In summary, we first detected the genetic effects of PRLR, MOGAT1, MINPP1 and CHUK genes on milk FA traits, and researched the potential functional mutations. These data provided the basis for further investigation on function validation of the four genes in Chinese Holstein.

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