Genome-Wide Association Study for Meat Quality Traits in a Multi-Breed Pig Population
Type
Journal article
Language
English
Date issued
2024
Author
Kamiński, Stanisław
Tarczyński, Krystian
Oleński, Kamil
Zybert, Andrzej
Sieczkowska, Halina
Krzęcio-Nieczyporuk, Elżbieta
Antosik, Katarzyna
Faculty
Wydział Medycyny Weterynaryjnej i Nauk o Zwierzętach
Journal
Annals of Animal Science
ISSN
1642-3402
Volume
24
Number
3
Pages from-to
767-777
Abstract (EN)
This study aimed at identifying genomic regions that affect nine pork quality traits in purebred and crossbred fatteners. A total of 259
fatteners represented by six purebreds/crosses were genotyped for 45556 SNP markers by Illumina Porcine SNP60 BeadChip. The following traits were recorded: glycogen potential (GP), glycogen content (GC), lactate content (LC), pH35, pH24, pH48, drip loss after 48
hours (DL48), colour lightness (L*) and lean meat content (LMC). Multi-Locus Mixed Model methodology was applied to find associations
between SNP markers and recorded traits. Several SNPs were found to be significantly associated with some pork quality traits: four
SNPs (located on SSC7, SSC10 and SSC14) with GP, three SNPs (SSC10, SSC14) with GC, one SNP (SSC15) with DL48 and one SNP
with pH48. Genetic variation explained by significant SNPs ranged from 7.6% to 9.1%. Moreover, some genes (e.g. CAPN10, ALDH5A1,
PASK, SNITA1 and MYH7B) located in the close vicinity to significant markers are proposed to be candidate genes explaining the genetic
background of the traits studied
fatteners represented by six purebreds/crosses were genotyped for 45556 SNP markers by Illumina Porcine SNP60 BeadChip. The following traits were recorded: glycogen potential (GP), glycogen content (GC), lactate content (LC), pH35, pH24, pH48, drip loss after 48
hours (DL48), colour lightness (L*) and lean meat content (LMC). Multi-Locus Mixed Model methodology was applied to find associations
between SNP markers and recorded traits. Several SNPs were found to be significantly associated with some pork quality traits: four
SNPs (located on SSC7, SSC10 and SSC14) with GP, three SNPs (SSC10, SSC14) with GC, one SNP (SSC15) with DL48 and one SNP
with pH48. Genetic variation explained by significant SNPs ranged from 7.6% to 9.1%. Moreover, some genes (e.g. CAPN10, ALDH5A1,
PASK, SNITA1 and MYH7B) located in the close vicinity to significant markers are proposed to be candidate genes explaining the genetic
background of the traits studied
Keywords (EN)
License
CC-BY - Attribution
CC-BY - Attribution Open access date
July 18, 2024