» Articles » PMID: 35551391

Estimate of Inbreeding Depression on Growth and Reproductive Traits in a Large White Pig Population

Overview
Journal G3 (Bethesda)
Date 2022 May 13
PMID 35551391
Authors
Affiliations
Soon will be listed here.
Abstract

With the broad application of genomic information, SNP-based measures of estimating inbreeding have been widely used in animal breeding, especially based on runs of homozygosity. Inbreeding depression is better estimated by SNP-based inbreeding coefficients than pedigree-based inbreeding in general. However, there are few comprehensive comparisons of multiple methods in pigs so far, to some extent limiting their application. In this study, to explore an appropriate strategy for estimating inbreeding depression on both growth traits and reproductive traits in a Large White pig population, we compared multiple methods for the inbreeding coefficient estimation based on both pedigree and genomic information. This pig population for analyzing the influence of inbreeding was from a pig breeding farm in the Inner Mongolia of China. There were 26,204 pigs with records of age at 100 kg (AGE) and back-fat thickness at 100 kg (BF), and 6,656 sows with reproductive records of the total number of piglets at birth (TNB), and the number of alive piglets at birth (NBA), and litter weight at birth. Inbreeding depression affected growth and reproductive traits. The results indicated that pedigree-based and SNP-based inbreeding coefficients had significant effects on AGE, TNB, and NBA, except for BF. However, only SNP-based inbreeding coefficients revealed a strong association with inbreeding depression on litter weight at birth. Runs of homozygosity-based methods showed a slight advantage over other methods in the correlation analysis of inbreeding coefficients and estimation of inbreeding depression. Furthermore, our results demonstrated that the model-based approach (RZooRoH) could avoid miscalculations of inbreeding and inbreeding depression caused by inappropriate parameters, which had a good performance on both AGE and reproductive traits. These findings might improve the extensive application of runs of homozygosity analysis in pig breeding and breed conservation.

Citing Articles

Genomic selection in pig breeding: comparative analysis of machine learning algorithms.

Su R, Lv J, Xue Y, Jiang S, Zhou L, Jiang L Genet Sel Evol. 2025; 57(1):13.

PMID: 40065232 PMC: 11892316. DOI: 10.1186/s12711-025-00957-3.


The effects of runs-of-homozygosity on pig domestication and breeding.

Tao L, Liu H, Adeola A, Xie H, Feng S, Zhang Y BMC Genomics. 2025; 26(1):6.

PMID: 39762732 PMC: 11702194. DOI: 10.1186/s12864-024-11189-y.


Population dynamics of potentially harmful haplotypes: a pedigree analysis.

Arias K, Fernandez I, Gutierrez J, Alvarez I, Goyache F BMC Genomics. 2024; 25(1):487.

PMID: 38755557 PMC: 11097446. DOI: 10.1186/s12864-024-10407-x.


Detection of Runs of Homozygosity and Identification of Candidate Genes in the Whole Genome of Tunchang Pigs.

Wang Z, Zhong Z, Xie X, Wang F, Pan D, Wang Q Animals (Basel). 2024; 14(2).

PMID: 38254370 PMC: 10812771. DOI: 10.3390/ani14020201.


Distribution of Runs of Homozygosity and Their Relationship with Candidate Genes for Productivity in Kazakh Meat-Wool Sheep Breed.

Amandykova M, Akhatayeva Z, Kozhakhmet A, Kapassuly T, Orazymbetova Z, Yergali K Genes (Basel). 2023; 14(11).

PMID: 38002931 PMC: 10671688. DOI: 10.3390/genes14111988.


References
1.
Szmatola T, Jasielczuk I, Semik-Gurgul E, Szyndler-Nedza M, Blicharski T, Szulc K . Detection of runs of homozygosity in conserved and commercial pig breeds in Poland. J Anim Breed Genet. 2020; 137(6):571-580. DOI: 10.1111/jbg.12482. View

2.
Sams A, Boyko A . Fine-Scale Resolution of Runs of Homozygosity Reveal Patterns of Inbreeding and Substantial Overlap with Recessive Disease Genotypes in Domestic Dogs. G3 (Bethesda). 2018; 9(1):117-123. PMC: 6325901. DOI: 10.1534/g3.118.200836. View

3.
Wang J . Pedigrees or markers: Which are better in estimating relatedness and inbreeding coefficient?. Theor Popul Biol. 2015; 107:4-13. DOI: 10.1016/j.tpb.2015.08.006. View

4.
Varona L, Legarra A, Herring W, Vitezica Z . Genomic selection models for directional dominance: an example for litter size in pigs. Genet Sel Evol. 2018; 50(1):1. PMC: 5787328. DOI: 10.1186/s12711-018-0374-1. View

5.
Zhang Q, Calus M, Guldbrandtsen B, Lund M, Sahana G . Estimation of inbreeding using pedigree, 50k SNP chip genotypes and full sequence data in three cattle breeds. BMC Genet. 2015; 16:88. PMC: 4509611. DOI: 10.1186/s12863-015-0227-7. View