ArticleGenetics, selection, evolution : GSE2015
Genome-wide QTL analysis of meat quality-related traits in a large F2 intercross between Landrace and Korean native pigs.
Article in Genetics, selection, evolution : GSE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A meta-analysis of genome-wide association studies revealed significant QTL and candidate genes for loin muscle area in three breeding pigs.Scientific reports · 2025Pooled it
- Integrated analysis of genome-wide association studies and 3D epigenomic characteristics reveal the BMP2 gene regulating loin muscle depth in Yorkshire pigs.PLoS genetics · 2023Pooled it
- Meta-analysis of genome-wide association studies for loin muscle area and loin muscle depth in two Duroc pig populations.PloS one · 2019Pooled it
- Genome-wide association study identifies genetic variants associated with single-parity reproductive loss in three commercial pig breeds.BMC genomics · 2025Article
- Convergent dwarfism consequences of minipigs under independent artificial selections.BMC genomics · 2024Article
- Multi-Omics Approaches to Improve Meat Quality and Taste Characteristics.Food science of animal resources · 2023Review
- Article
- Genome-wide association study reveals genetic loci and candidate genes for meat quality traits in a four-way crossbred pig population.Frontiers in genetics · 2023Article
- Genome-wide association study and genomic prediction for intramuscular fat content in Suhuai pigs using imputed whole-genome sequencing data.Evolutionary applications · 2022Article
- Article
- The Genetic Architecture of Meat Quality Traits in a Crossbred Commercial Pig Population.Foods (Basel, Switzerland) · 2022Article
- Genetic Parameter Estimation and Genome-Wide Association Analysis of Social Genetic Effects on Average Daily Gain in Purebreds and Crossbreds.Animals : an open access journal from MDPI · 2022Article
- Copy Number Variations Contribute to Intramuscular Fat Content Differences by Affecting the Expression ofAnimals : an open access journal from MDPI · 2022Article
- Characterization of Alternative Splicing Events in Porcine Skeletal Muscles with Different Intramuscular Fat Contents.Biomolecules · 2022Article
- Regulation of Swine Growth by Backfat Tissue during Growing and Finishing Stages.Animals : an open access journal from MDPI · 2021Article
- Article
- Gut Microbiota Influence Lipid Metabolism of Skeletal Muscle in Pigs.Frontiers in nutrition · 2021Article
- Evolutionary and Functional Analysis of Korean Native Pig Using Single Nucleotide Polymorphisms.Molecules and cells · 2020Article
- A functional regulatory variant of MYH3 influences muscle fiber-type composition and intramuscular fat content in pigs.PLoS genetics · 2019Article
- Single-Locus and Multi-Locus Genome-Wide Association Studies for Intramuscular Fat in Duroc Pigs.Frontiers in genetics · 2019Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe conducted a genome-wide linkage analysis to identify quantitative trait loci (QTL) that influence meat quality-related traits in a large F2 intercross between Landrace and Korean native pigs. Thirteen meat quality-related traits of the m. longissimus lumborum et thoracis were measured in more than 830 F2 progeny. All these animals were genotyped with 173 microsatellite markers located throughout the pig genome, and the GridQTL program based on the least squares regression model was used to perform the QTL analysis.
resultsWe identified 23 genome-wide significant QTL in eight chromosome regions (SSC1, 2, 6, 7, 9, 12, 13, and 16) (SSC for Sus Scrofa) and detected 51 suggestive QTL in the 17 chromosome regions. QTL that affect 10 meat quality traits were detected on SSC12 and were highly significant at the genome-wide level. In particular, the QTL with the largest effect affected crude fat percentage and explained 22.5% of the phenotypic variance (F-ratio = 278.0 under the additive model, nominal P = 5.5 × 10(-55)). Interestingly, the QTL on SSC12 that influenced meat quality traits showed an obvious trend for co-localization.
conclusionsOur results confirm several previously reported QTL. In addition, we identified novel QTL for meat quality traits, which together with the associated positional candidate genes improve the knowledge on the genetic structure that underlies genetic variation for meat quality traits in pigs.
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