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Articles

A further look at quantitative trait loci for growth and fatness traits in a White Duroc × Erhualian F3 intercross population

, , , , , , & show all
Pages 1205-1216 | Published online: 19 May 2021
 

Abstract

Genetic analysis of porcine growth and fatness traits is beneficial to the swine industry and provides a reference to understand human obesity. Here, we obtained 29 growth and fatness traits for 473 individuals from a White Duroc × Erhualian F3 intercross population. Basic statistical analyses showed that: (1) Positive correlations between different-stage body weights were detected, the shorter the time interval the stronger the correlation. (2) Strong correlations existed in the paired fatness traits. (3) With the growth of age, the correlation between fatness and body weight was increasing. All pigs were genotyped by Illumina 50 K SNP chips and their whole-genome genotypes were imputed referred to 109 re-sequencing data. We performed common and imputation-based GWASs for these traits. Two genome-wide significant loci on swine chromosome (SSC) 4 and 7 were repeatedly detected. The strongest association (P = 3.24 × 10−19) was detected at 31.96 Mb on SSC7 for leaf fat weight. On this locus, seven major haplotypes were identified, of which two were novel and had an increasing-fatness effect. In the imputation-based GWAS, three new loci were identified. Our findings provide further insights into and enhance our understanding of genetic mechanism of porcine growth and fat deposition.

Ethical approval

All animal works were conducted according to the guidelines for the care and use of experimental animals established by the Ministry of Agriculture of China. Animal Care and Use Committee in Jiangxi Agricultural University specially approved this project.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The 50 K SNP dataset can be assessed on the web site of https://figshare.com/s/474ec4176af53f1a271a.

Additional information

Funding

This work was supported by grants from National Swine Industry and Technology System of China [nycytx-009], Guangdong Sail Plan Introduction of Innovative and Entrepreneurship Research Team Program [2016YT03H062], and the Earmarked Fund for Jiangxi Agriculture Research System [JXARS-03].

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