Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits
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ABSTRACT:
PROVIDER: PRJNA511588 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8366770_1.fastq.gz | Fastqsanger.gz | |||
| SRR8366770_2.fastq.gz | Fastqsanger.gz | |||
| SRR8366780_1.fastq.gz | Fastqsanger.gz | |||
| SRR8366780_2.fastq.gz | Fastqsanger.gz | |||
| SRR8366790_1.fastq.gz | Fastqsanger.gz |
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Project description: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. Using a genome-wide association study based on a fixed linear model, we identified 7,192 cis-eQTL corresponding to 2,098 cis-genes (p ≤ 1.33e-3, FDR ≤ 0.05) and 6,400 trans-eQTL corresponding to 863 trans-genes (p ≤ 1.13e-6, FDR ≤ 0.05). ASE analysis using RNAseq SNPs identified 9,815 significant ASE-SNPs in 2,253 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).This study provides valuable information on the genetics of gene expression in porcine skeletal muscle. The characterized cis-genes and ASE genes, combined with the correlations between gene expression level and meat quality traits will be useful to prioritize candidate genes in further studies.
2019-06-24 | GSE124315 | GEO
Project description:BackgroundGenetic 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.ResultsUsing 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).ConclusionsThe 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.
| S-EPMC7547458 | biostudies-literature
Project description:BackgroundGenetic analysis of transcriptional profiles is a promising approach for identifying and dissecting the genetics of complex traits like meat performance. Accordingly, expression levels obtained by microarray analysis were taken as phenotypes in a linkage analysis to map eQTL. Moreover, expression levels were correlated with traits related to meat quality and principle components with high loadings of these traits. By using an up-to-date annotation and localization of the respective probe-sets, the integration of eQTL mapping data and information of trait correlated expression finally served to point to candidate genes for meat quality traits.ResultsGenome-wide transcriptional profiles of M. longissimus dorsi RNAs samples of 74 F2 animals of a pig resource population revealed 11,457 probe-sets representing genes expressed in the muscle. Linkage analysis of expression levels of these probe-sets provided 9,180 eQTL at the suggestive significance threshold of LOD > 2. We mapped 653 eQTL on the same chromosome as the corresponding gene and these were designated as 'putative cis-eQTL'. In order to link eQTL to the traits of interest, probe-sets were addressed with relative transcript abundances that showed correlation with meat quality traits at p ≤ 0.05. Out of the 653 'putative cis-eQTL', 262 transcripts were correlated with at least one meat quality trait. Furthermore, association of expression levels with composite traits with high loadings for meat quality traits generated by principle component analysis were taken into account leading to a list of 85 genes exhibiting cis-eQTL and trait dependent expression.ConclusionHolistic expression profiling was integrated with QTL analysis for meat quality traits. Correlations between transcript abundance and meat quality traits, combined with genetic positional information of eQTL allowed us to prioritise candidate genes for further study.
| S-EPMC3091721 | biostudies-literature
Project description:Improvement of feed efficiency would increase profitability of the poultry industries by decreasing the amount of feed required for production. Korat (KR) chicken is a new alternative meat-type chicken breed which its meat is recognized for its high protein, low fat and low purine content, whereas its low feed efficiency leads to high cost of production. Deeper understanding on how feed efficiency influences meat quality is poorly elucidated. To fulfill deeper understand molecular key that point the variation in feed efficiency and meat quality, the aim of this study was to investigate molecular pathways and genes involved in feed efficiency and meat quality in thigh of slow-growing KR chicken. A total of 75 males KR chicken were reared in individual cage until 10 weeks of age. Individual feed intake and body weight were collected weekly to calculate Feed Conversion Ratio (FCR) and Residual Feed Intake (RFI). Meat quality parameters were measured in thigh muscles such as ultimate pH (pHu), water-holding capacity (WHC), drip loss (DL), nucleotides content and several biomolecules (amide, …). Base on extreme values of FCR at 10 weeks of ages, 12 birds from the high FCR group (HFCR) and 9 birds from the low FCR group (LFCR) were selected for investigating their transcriptome using an 8×60K Agilent chicken microarray. In addition, a weighted gene coexpression network analysis was performed to detect the relationship between modules of co-expressed genes and feed efficiency, meat quality in thigh muscle. The result in this study indicated that selection on feed efficiency (FCR, RFI) would affect flavor precursor, lipid and protein content in thigh muscle. Based on WGCNA and functional enrichment analysis, results suggested that the key molecular pathways relate to FCR, RFI and meat quality (WHC, DL, IMP, AMP and inosine) in thigh muscle were the pathways of regulation of biological process, biological regulation and regulation of metabolic. Moreover, we revealed four genes there are assembly competence domain (ACD) gene, baculoviral IAP repeat containing 5 (BIRC5) gene, cytochrome c oxidase assembly factor 3 (COA3) gene and myosin light chain 9 (MYL9) gene that might be biomarker gene in feed efficiency and meat quality in thigh muscle. The hypothesis of the current study was alteration feed efficiency in slow-growing chicken will impact meat quality especially in term of texture and flavor.
2021-10-14 | GSE162848 | GEO
Project description:Our analysis revealed the unique and common lncRNA-miRNA-mRNA networks of two kinds of adipocytes. Several lncRNAs that regulate goat meat quality were identified, such as XR_001918647.1, XR_001917728.1, XR_001297263.2 and LNC_004191. Our study utilized RNA-seq analysis to predict the functions of lncRNA on goat meat quality. Furthermore, our findings of lncRNA-miRNA-mRNA network, may contribute to a better understanding of the molecular mechanisms underlying in goat meat quality and provide a theoretical basis for further goat molecular breeding.
2021-12-25 | GSE186988 | GEO
Project description:Abstract:Genetical genomics has been suggested and proven to be a powerful approach to study the genotype-phenotype gap. However, the relatively low power of these experiments (usually related to the high cost) has hindered fulfilment of its promise, especially for loci (QTL) of moderate effects. One strategy to overcome the issue is to use a targeted approach: to focus the experiment on one QTL of particular interest. It has two clear advantages: (i) It reduces the problem to a simple comparison between different genotypic groups at the QTL and (ii) it is a good starting point to investigate downstream effects of the QTL. In the present study, from 698 F2 birds used for QTL mapping, gene expression profiles of 24 (12 from each homozygote genotypes at the QTL) were investigated. The targeted QTL was located on chromosome 1 and affected initial pH of meat. The biological mechanisms controlling this trait can be similar to those affecting malignant hyperthermia or muscle fatigue in human. The gene expression study identified ten strong local signals (potentially cis-eQTL) which were markedly more significant compared to the rest of the genome. The differentially expressed genes all mapped to a region < 1 Mb, suggesting a remarkable reduction of the QTL interval compared to the linkage study. These results combined with analysis of downstream effect of the QTL (using gene network analysis) suggest that the QTL is controlling pH by governing oxidative stress. The eQTL results were reproducible with using as few as 4 arrays on pooled samples (with lower significance level). The results demonstrate that this cost effective approach is promising not only for characterization of a QTL also for studying its downstream effects.
2014-05-02 | GSE47800 | GEO
Project description:Abstract:Genetical genomics has been suggested and proven to be a powerful approach to study the genotype-phenotype gap. However, the relatively low power of these experiments (usually related to the high cost) has hindered fulfilment of its promise, especially for loci (QTL) of moderate effects. One strategy to overcome the issue is to use a targeted approach: to focus the experiment on one QTL of particular interest. It has two clear advantages: (i) It reduces the problem to a simple comparison between different genotypic groups at the QTL and (ii) it is a good starting point to investigate downstream effects of the QTL. In the present study, from 698 F2 birds used for QTL mapping, gene expression profiles of 24 (12 from each homozygote genotypes at the QTL) were investigated. The targeted QTL was located on chromosome 1 and affected initial pH of meat. The biological mechanisms controlling this trait can be similar to those affecting malignant hyperthermia or muscle fatigue in human. The gene expression study identified ten strong local signals (potentially cis-eQTL) which were markedly more significant compared to the rest of the genome. The differentially expressed genes all mapped to a region < 1 Mb, suggesting a remarkable reduction of the QTL interval compared to the linkage study. These results combined with analysis of downstream effect of the QTL (using gene network analysis) suggest that the QTL is controlling pH by governing oxidative stress. The eQTL results were reproducible with using as few as 4 arrays on pooled samples (with lower significance level). The results demonstrate that this cost effective approach is promising not only for characterization of a QTL also for studying its downstream effects. there are 24 samples from to different genotypes. Each group of genotype has 12 samples. The two groups are compared using a dye balanced design.
2014-05-02 | E-GEOD-47800 | biostudies-arrayexpress
Project description:The processing ability of chicken meat is highly related to its ultimate pH (pHu), which is mainly determined by the amount of glycogen in the muscle at death. The molecular mechanisms involved in variations of those traits for chicken remain to be fully described. For that purpose, two chicken lines were divergently selected on breast meat pHu, i.e. the pHu- and the pHu+ lines. In this study, Chicken Genome Arrays (60 K) were used to compare muscle gene expression profiles of chickens from both lines. The final goal of this experiment is to identify biomarkers of low and high-pHu chicken meat. This study was supported by INRA and the French Ministry of Agriculture through the RFI CASDAR #1309 OPTIVIANDE.
2017-02-01 | GSE89268 | GEO
Project description:Expression QTL (eQTL) Analysis in Human Primary Cells
| PRJNA75605 | ENA
Project description:BackgroundThe turkey (Meleagris gallopavo) is an important agricultural species and is the second largest contributor to the world's poultry meat production. Demand of turkey meat is increasing very rapidly. Genetic markers linked to genes affecting quantitative traits can increase the selection response of animal breeding programs. The use of these molecular markers for the identification of quantitative trait loci, and subsequently fine-mapping of quantitative trait loci regions, allows for pinpointing of genes that underlie such economically important traits.ResultsThe quantitative trait loci analyses of the growth curve, body weight, breast yield and the meat quality traits showed putative quantitative trait loci on 21 of the 27 turkey chromosomes covered by the linkage map. Forty-five quantitative trait loci were detected across all traits and these were found in 29 different regions on 21 chromosomes. Out of the 45 quantitative trait loci, twelve showed significant (p<0.01) evidence of linkage while the remaining 33 showed suggestive evidence (p<0.05) of linkage with different growth, growth curve, meat quality and breast yield traits.ConclusionA large number of quantitative trait loci were detected across the turkey genome, which affected growth, breast yield and meat quality traits. Pleiotropic effects or close linkages between quantitative trait loci were suggested for several of the chromosomal regions. The comparative analysis regarding the location of quantitative trait loci on different turkey, and on the syntenic chicken chromosomes, along with their phenotypic associations, revealed signs of functional conservation between these species.
| S-EPMC3142527 | biostudies-literature