Assessing the Effect of SNPs on Litter Traits in Pigs. (30th July 2020)

• Record Type: Journal Article
• Authors: Getmantseva, Lyubov V.; Bakoev, Siroj Yu; Shevtsova, Varvara S.; Kolosov, Anatoly Yu; Bakoev, Neckruz F.; Kolosova, Maria A.
• Other Names: Choudhury Devapriya Academic Editor.
• Is Part Of: Scientifica. Volume 2020(2020)
• Publication Date: 2020-07-30
• Subjects: Life sciences -- Periodicals; Biology -- Periodicals; Medicine -- Periodicals; Biological Science Disciplines; Medicine; Biology; Life sciences; Medicine; Periodicals; Electronic journals; Periodicals; 500
• DOI: 10.1155/2020/5243689
• Languages: English
• ISSNs: 2090-908X

Abstract

Abstract : The reproductive ability of sows is the principle of continuous and efficient production, based on such traits as the number of piglets, the total number of parities, and the period of economic use. Currently, SNPs associated with the TNB and NBA are presented in the PigQTLdb. The aim of this work was the assessment of the SNP effects on the litter traits in Large White (LW, n = 502) and Landrace (LN, n = 432) sow breeds in a farm in Russia. 9 SNPs (SNP_1: rs80956812; SNP_2: rs81471381; SNP_3: rs80891106; SNP_4: rs81399474; SNP_5: rs81421148; SNP_6: rs81242222; SNP_7: rs81319839; SNP_8: rs81312912; SNP_9: rs80962240) were selected for the study. Associative analysis was performed using the GLM procedure in R version 3.5.1. The analysis of reproductive traits was carried out according to the results of the first parity, the second and subsequent parities, and totals for lifetime of sows. The significant effect on litter traits in LW was determined for SNP rs80956812, SNP rs81471381, SNP rs81421148, and SNP rs81399474. The significant effect on litter traits in LN was determined for SNP rs81421148 and SNP rs81319839. AKT3 gene was identified as perspective candidate gene, whose biological functions, as well as the results obtained in our work and in other studies, indicate its potential role in the reproductive process regulation in pigs. In general, the data obtained help to explain the genetic mechanisms of reproductive traits.