Expression analyses of candidate genes related to meat quality traits in squabs from two breeds of meat-type pigeon

2018 ◽  
Vol 102 (3) ◽  
pp. 727-735 ◽  
Author(s):  
M. Ye ◽  
M. Xu ◽  
C. Chen ◽  
Y. He ◽  
M. Ding ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Meat Quality ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Meat Type

Associations of Polymorphisms in Four Candidate Genes with Carcass and/or Meat-Quality Traits in Two Meat-Type Chicken Lines

2013 ◽  
Vol 24 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Yanfa Sun ◽  
Ranran Liu ◽  
Xiqing Lu ◽  
Yaodong Hu ◽  
Guiping Zhao ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Meat Quality ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Meat Type

scholarly journals Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits

2020 ◽  
Vol 52 (1) ◽  
Author(s):  
Yan Liu ◽  
Xiaolei Liu ◽  
Zhiwei Zheng ◽  
Tingting Ma ◽  
Ying Liu ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Meat Quality ◽  
Quality Traits ◽  
Q Value ◽  
Specific Expression ◽  
Allele Specific Expression ◽  
Meat Quality Traits ◽  
Genome Wide ◽  
A Genome ◽  
Allele Specific

Abstract Background Genetic analysis of gene expression level is a promising approach for characterizing candidate genes that are involved in complex economic traits such as meat quality. In the present study, we conducted expression quantitative trait loci (eQTL) and allele-specific expression (ASE) analyses based on RNA-sequencing (RNAseq) data from the longissimus muscle of 189 Duroc × Luchuan crossed pigs in order to identify some candidate genes for meat quality traits. Results Using a genome-wide association study based on a mixed linear model, we identified 7192 cis-eQTL corresponding to 2098 cis-genes (p ≤ 1.33e-3, FDR ≤ 0.05) and 6400 trans-eQTL corresponding to 863 trans-genes (p ≤ 1.13e-6, FDR ≤ 0.05). ASE analysis using RNAseq SNPs identified 9815 significant ASE-SNPs in 2253 unique genes. Integrative analysis between the cis-eQTL and ASE target genes identified 540 common genes, including 33 genes with expression levels that were correlated with at least one meat quality trait. Among these 540 common genes, 63 have been reported previously as candidate genes for meat quality traits, such as PHKG1 (q-value = 1.67e-6 for the leading SNP in the cis-eQTL analysis), NUDT7 (q-value = 5.67e-13), FADS2 (q-value = 8.44e-5), and DGAT2 (q-value = 1.24e-3). Conclusions The present study confirmed several previously published candidate genes and identified some novel candidate genes for meat quality traits via eQTL and ASE analyses, which will be useful to prioritize candidate genes in further studies.

Association of Prkag3 Gene Polymorphisms with Meat Quality Traits in Chinese Meat-Type Quality Chicken Populations

2011 ◽  
Vol 343-344 ◽  
pp. 631-636 ◽  
Author(s):  
Hua Dong Yin ◽  
Xiao Ling Zhao ◽  
Zhi Chao Zhang ◽  
Na Na Zhou ◽  
Qing Zhu
Keyword(s):  
Water Content ◽  
Meat Quality ◽  
Crude Protein ◽  
Polymorphism Analysis ◽  
Quality Traits ◽  
Single Strand Conformational Polymorphism ◽  
Meat Quality Traits ◽  
Potential Association ◽  
Quality Chickens ◽  
Meat Type

In this study, we aimed to detect the single nucleotide polymorphism (SNPs) of the chicken PRKAG3 gene and discern the potential association with meat quality traits. A total of 240 meat-type quality chickens were screened by using single-strand conformational polymorphism analysis (SSCP) and DNA sequencing. Two SNPs (g.1744G>C and g.3207A>G) were identified in chicken PRKAG3 with medium polymorphism (0.25C were significantly associated with water content, crude protein, and crude ash (P<0.05/0.01). The SNP genotypes g.3207A>G were significantly associated with water content, and crude protein (P<0.01). The results suggested that PRKAG3 gene is potential major genes or is in close linkage disequilibrium with the QTL affecting meat quality traits in this population of chickens.

scholarly journals An Integrative Analysis of Transcriptome and GWAS Data to Identify Potential Candidate Genes Influencing Meat Quality Traits in Pigs

2021 ◽  
Vol 12 ◽  
Author(s):  
Xianxian Liu ◽  
Junjie Zhang ◽  
Xinwei Xiong ◽  
Congying Chen ◽  
Yuyun Xing ◽  
...  
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
Meat Quality ◽  
Integrative Analysis ◽  
Potential Candidate ◽  
Quality Traits ◽  
Eqtl Mapping ◽  
Meat Quality Traits ◽  
Genome Wide ◽  
A Genome

Understanding the genetic factors behind meat quality traits is of great significance to animal breeding and production. We previously conducted a genome-wide association study (GWAS) for meat quality traits in a White Duroc × Erhualian F2 pig population using Illumina porcine 60K SNP data. Here, we further investigate the functional candidate genes and their network modules associated with meat quality traits by integrating transcriptomics and GWAS information. Quantitative trait transcript (QTT) analysis, gene expression QTL (eQTL) mapping, and weighted gene co-expression network analysis (WGCNA) were performed using the digital gene expression (DGE) data from 493 F2 pig’s muscle and liver samples. Among the quantified 20,108 liver and 23,728 muscle transcripts, 535 liver and 1,014 muscle QTTs corresponding to 416 and 721 genes, respectively, were found to be significantly (p &lt; 5 × 10−4) correlated with 22 meat quality traits measured on longissiums dorsi muscle (LM) or semimembranosus muscle (SM). Transcripts associated with muscle glycolytic potential (GP) and pH values were enriched for genes involved in metabolic process. There were 42 QTTs (for 32 genes) shared by liver and muscle tissues, of which 10 QTTs represent GP- and/or pH-related genes, such as JUNB, ATF3, and PPP1R3B. Furthermore, a genome-wide eQTL mapping revealed a total of 3,054 eQTLs for all annotated transcripts in muscle (p &lt; 2.08 × 10−5), including 1,283 cis-eQTLs and 1771 trans-eQTLs. In addition, WGCNA identified five modules relevant to glycogen metabolism pathway and highlighted the connections between variations in meat quality traits and genes involved in energy process. Integrative analysis of GWAS loci, eQTL, and QTT demonstrated GALNT15/GALNTL2 and HTATIP2 as strong candidate genes for drip loss and pH drop from postmortem 45 min to 24 h, respectively. Our findings provide valuable insights into the genetic basis of meat quality traits and greatly expand the number of candidate genes that may be valuable for future functional analysis and genetic improvement of meat quality.

scholarly journals Effects of Slaughter Age on Muscle Characteristics and Meat Quality Traits of Da-Heng Meat Type Birds

Animals ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 69 ◽  
Author(s):  
Jingjing Li ◽  
Chaowu Yang ◽  
Han Peng ◽  
Huadong Yin ◽  
Yan Wang ◽  
...  
Keyword(s):  
Meat Quality ◽  
Breast Muscle ◽  
Muscle Performance ◽  
Chicken Breast ◽  
Drip Loss ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Age Related ◽  
Slaughter Age ◽  
Meat Type

Due to the increasing demand for producing chickens with high meat quality, there is a need to determine its mode of action on chicken meat quality traits across a wider age spectrum. In this study, five groups of 200 male Da-Heng meat type birds were reared until slaughter age of 60, 90, 120, 150, 180 days old and breast muscle performance, meat quality traits, and myofiber characteristics were evaluated. The larger body weight and breast weight of chicken are based on larger myofiber diameter and area, less myofiber density for the older birds than younger birds. There was an age effect on all meat quality traits of chicken breast muscle (p < 0.05). Older chickens often presented a higher pH, lower drip loss, higher shear force, darker, and redder breast meat. The correlation coefficients showed that myofiber characteristics played an important role in breast pH values, drip loss, and meat color (p < 0.05). Besides, significant correlations were also found between meat quality traits (p < 0.05). Further studies are needed to explore the biochemical character and potential molecular mechanism of chicken breast muscle to determine the factors that causes these age-related differences in meat quality in the current study.

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