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Review
. 2023 Apr;50(4):3705-3721.
doi: 10.1007/s11033-022-08168-5. Epub 2023 Jan 16.

Allelic to genome wide perspectives of swine genetic variation to litter size and its component traits

Sakshi Vaishnav  1 , Anuj Chauhan  2 , Argana Ajay  1 , Babu Lal Saini  1 , Subodh Kumar  1 , Amit Kumar  1 , Bharat Bhushan  1 , Gyanendra Kumar Gaur  1
Affiliations
Review

Allelic to genome wide perspectives of swine genetic variation to litter size and its component traits

Sakshi Vaishnav et al. Mol Biol Rep. 2023 Apr.

Abstract

Litter size is a complex and sex limited trait that depends on various biological, managemental and environmental factors. Owing to its low heritability it is inefficaciously selected by traditional methods. However, due to higher heritability of ovulation rate and embryo survival, selection based on component traits of litter size is advocated. QTL analysis and candidate gene approach are among the various supplementary/alternate strategies for selection of litter size. QTL analysis is aimed at identifying genomic regions affecting trait of interest significantly. Candidate gene approach necessitates identification of genes potentially affecting the trait. There are various genes that significantly affect litter size and its component traits viz. ESR, LEP, BF, IGFBP, RBP4, PRLR, CTNNAL1, WNT10B, TCF12, DAZ, and RNF4. These genes affect litter size in a complex interacting manner. Lately, genome wide association study (GWAS) have been utilized to unveil the genetic and biological background of litter traits, and elucidate the genes governing litter size. Favorable SNPs in these genes have been identified and offers a scope for inclusion in selection programs thereby increasing breeding efficiency and profit in pigs. The review provides a comprehensive coverage of investigations carried out globally to unravel the genetic variation in litter size and its component traits in pigs, both at allelic and genome wide level. It offers a current perspective on different strategies including the profiling of candidate genes, QTLs, and genome wide association studies as an aid to efficient selection for litter size and its component traits.

Keywords: Candidate gene approach; Genome wide association study; Litter size; Number born alive; QTL analysis; Total number born.

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