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Screening of candidate genes related to differences in growth and development between Chinese indigenous and Western pig breeds.

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Neijiang (NJ) and Yacha (YC) are two indigenous pig breeds in the Sichuan basin of China, displaying higher resistance to diseases, lower lean ratio, and slower growth rate than the… Click to show full abstract

Neijiang (NJ) and Yacha (YC) are two indigenous pig breeds in the Sichuan basin of China, displaying higher resistance to diseases, lower lean ratio, and slower growth rate than the commercial Western pig breed Yorkshire (YS). The molecular mechanisms underlying the differences in growth and development between these pig breeds are still unknown. In the present study, five pigs from NJ, YC and YS breeds were subjected to the whole-genome resequencing, and then the differential SNPs were screened using a 10-kb window sliding in 1 kb step using the Fst method. Finally, 48,924, 48,543, and 46,228 non-synonymous single-nucleotide polymorphism loci (nsSNPs) were identified between NJ and YS, NJ and YC, YC and YS, which highly or moderately affected 2,490, 800, and 444 genes, respectively. Moreover, three nsSNPs were detected in the genes of ACAT1, IGF2R, and IGF2BP3, which potentially affected the transformation of acetyl-CoA to acetoacetyl-CoA and the normal functions of the insulin signaling pathways. Moreover, serous determinations revealed significantly lower acetyl-CoA content in YC than in YS, supporting that ACAT1 might be a reason explaining the differences in growth and development between YC and YS breeds. Contents of phosphatidylcholine (PC) and phosphatidic acid (PA) significantly differed between the pig breeds, suggesting that glycerophospholipid metabolism might be another reason for the differences between Chinese and Western pig breeds. Overall, these results might contribute basic information to understand the genetic differences determining the phenotypical traits in pig.

Keywords: pig; western pig; differences growth; pig breeds; growth development

Journal Title: Physiological genomics
Year Published: 2023

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