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Transcriptome-based analysis of early post-mortem formation of pale, soft, and exudative (PSE) pork

ABSTRACT: The goals of this study was to analyze of differences gene expression between PSE and normal pork in postmortem by transcriptome profiling ,using BGISEQ500 platform.We measured the pH of the longissimus lumborum to screen for PSE and NO (normal) carcasses (PSE: pH ≤ 6.0, normal: pH > 6.0) at postmortem using a pH metre (Testo 205, Testo, Inc., PA, USA).Our study found 97.56% of the sequencing reads had quality scores at the Q20 level (99% base calling accuracy) and 89.93% had quality scores at the Q30 level (99.9% base calling accuracy).Approximately 92.58% of the clean reads were mapped to the reference genome. There were 326 differentially expressed genes (DEGs) in the longissimus lumborum between normal and PSE pork, with 197 upregulated and 129 downregulated genes. Additionally, 324 DEGs were identified in the semimembranosus between normal and PSE carcasses, with 176 upregulated and 148 downregulated genes. There were 1022 DEGs between longissimus lumborum and semimembranosus in the normal carcasses, with 878 upregulated and 144 downregulated genes in the semimembranosus. Additionally, there were 1011 DEGs between longissimus lumborum and semimembranosus in PSE carcasses, with 823 upregulated and 188 downregulated genes.we compared the DEGs between longissimus lumborum and semimembranosus in PSE carcasses with those of normal carcasses and found 74 commonly downregulated and 430 commonly upregulated genes. Five genes showed the opposite expression trends, including BGI_novel_G000027, LOC110261743, BGI_novel_G000053, HSPA6, and BGI_novel_G000051.

ORGANISM(S): Sus scrofa

PROVIDER: GSE202176 | GEO | 2025/05/03

REPOSITORIES: GEO

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Project description:The success of turkey breeding for rapid growth rate and larger breast size has coincided with an increasing incidence of a meat quality defect described as pale, soft and exudative (PSE). We hypothesized that this defect, which is associated with an abnormally rapid rate of postmortem metabolism, derives from altered expression of genes involved in metabolic regulation. Our objective was to use deep transcriptome RNA sequence analysis (RNAseq) to identify differentially expressed genes between normal and PSE turkey breasts. Following harvest of turkey breasts (n = 43), the pH at 15 min post-slaughter and percent marinade uptake at 24h post-slaughter were determined. Breast samples were classified as normal or PSE based on marinade uptake (high = normal; low = PSE). Total RNA from samples with the highest (n=4) and lowest (n=4) marinade uptake were isolated and sequenced using the Illumina GAIIX platform. Of 21,340 gene loci discovered by RNAseq, 8480 loci completely matched the turkey reference genome, and 480 genes were differentially expressed (false discovery rate, FDR<0.05) between normal and PSE samples. Two highlights were the genes nephroblastoma overexpressed (NOV), upregulated about 38-fold and pyruvate dehydrogenase kinase isoform 4 (PDK4), downregulated 14-fold in PSE samples. Pathway analysis suggested that several biological functions, including carbohydrate metabolism and energy production, were affected by meat quality. Because PDK4 regulates conversion of pyruvate to acetyl CoA, differences in regulation of oxidative metabolism may exist among turkeys. Accelerated early postmortem metabolism would result in faster pH decline in PSE meat. This hypothesis was supported by the fact that decreased expression of PDK4 was associated with lower pH in PSE samples (pH[PSE] = 5.59±0.09, pH[normal] = 5.77±0.17). The RNAseq results provided a greater molecular mechanistic understanding of development of PSE turkey, which will be a foundation for new intervention strategies to prevent development of this defect.

Project description:The success of turkey breeding for rapid growth rate and larger breast size has coincided with an increasing incidence of a meat quality defect described as pale, soft and exudative (PSE). We hypothesized that this defect, which is associated with an abnormally rapid rate of postmortem metabolism, derives from altered expression of genes involved in metabolic regulation. Our objective was to use deep transcriptome RNA sequence analysis (RNAseq) to identify differentially expressed genes between normal and PSE turkey breasts. Following harvest of turkey breasts (n = 43), the pH at 15 min post-slaughter and percent marinade uptake at 24h post-slaughter were determined. Breast samples were classified as normal or PSE based on marinade uptake (high = normal; low = PSE). Total RNA from samples with the highest (n=4) and lowest (n=4) marinade uptake were isolated and sequenced using the Illumina GAIIX platform. Of 21,340 gene loci discovered by RNAseq, 8480 loci completely matched the turkey reference genome, and 480 genes were differentially expressed (false discovery rate, FDR<0.05) between normal and PSE samples. Two highlights were the genes nephroblastoma overexpressed (NOV), upregulated about 38-fold and pyruvate dehydrogenase kinase isoform 4 (PDK4), downregulated 14-fold in PSE samples. Pathway analysis suggested that several biological functions, including carbohydrate metabolism and energy production, were affected by meat quality. Because PDK4 regulates conversion of pyruvate to acetyl CoA, differences in regulation of oxidative metabolism may exist among turkeys. Accelerated early postmortem metabolism would result in faster pH decline in PSE meat. This hypothesis was supported by the fact that decreased expression of PDK4 was associated with lower pH in PSE samples (pH[PSE] = 5.59M-BM-10.09, pH[normal] = 5.77M-BM-10.17). The RNAseq results provided a greater molecular mechanistic understanding of development of PSE turkey, which will be a foundation for new intervention strategies to prevent development of this defect. The mRNA profiles of normal and PSE turkey breast muscle were generated by deep sequencing using Illumina GAIIx platform. Multiplexing was performed (2 samples/lane). Afterwards, difference in gene expression between normal and PSE samples were tested.

Project description:Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with fiber-type distribution and cell size in porcine muscle tissue. Methods: The histological profile of the longissimus lumborum muscle was establish by method involving detection of NADPH dehydrogenase (diaphorase) and immunohistochemically detection of myosin chains. The muscle transcriptome sequencing was performed for 11 pigs using Illumina HiScan SQ in 50 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Sus scrofa reference genome (assembly Sscrofa10.2). Differentially expressed genes were detected by edgeR, baySeq and DESeq2. The RNA-seq results were validated using by qPCR. Results: The RNA-seq approach allows to identify 397 differentially expressed genes (DEGs) indicated as significant (FDR<0.05) using three software: DESeq2, edgeR and baySeq. Detected genes and pathways deregulated in muscle depend on tissue microstructure were associated with metabolic processes â?? 158 genes; cellular processes â?? 122; biological regulation â?? 62; localization â?? 51 and 35 genes with developmental processes. The detected DEGs were included in such pathways as: PI3K-Akt; FoxO and MAPK signaling pathways, regulation of actin cytoskeleton, lysine degradation and insulin signaling pathway as well as in mTOR and Hippo signaling. Conclusions: This results highlight the mainly metabolic pathways related with glucose metabolism and contraction processes of muscle cells. The comparison of whole gene expression profiles between muscles characterized by different fiber-type distribution showed that processes of growth and proliferation of different fiber types are determined by diverse molecular mechanism, which conditioned the unique histological structure of muscle tissue. The muscle (longissimus lumborum) transcriptome sequencing was performed for 11 pigs using Illumina HiScan SQ in 50 single-end cycles and in five technical repetitions.

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Transcriptome-based analysis of early post-mortem formation of pale, soft, and exudative (PSE) pork

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