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Delineating molecular regulatory network of meat quality of longissimus dorsi indicated by transcriptomic, proteomic, and metabolomics analysis in rabbit (UPLC-MS/MS assays)

ABSTRACT:

This study aims to investigate the potential regulatory network responsible for the meat quality using multi-omics to help developing better varieties. Slaughter performance and meat quality of Shuxing No.1 rabbit outperformed Yila rabbit. Differentially expressed genes (DEGs) and differentially abundance proteins (DAPs) were involved in meat quality-related pathways, such as PI3K−Akt and MAPK signaling pathway. Only SMTNL1 and PM20D2 shared between DEGs and DAPs. Olfactory-sensitive undecanal, a differentially abundant metabolite (DAM) in volatilomics (vDAMs), correlated with all of the remaining 11 vDAMs, and most of 12 vDAMs were associated with amino acid metabolism. Integration revealed that 829 DEGs/DAPs were associated with 15 DAMs in four KEGG pathways, such as melatonin (a DAM in widely targeted metabolomics) was significantly positively correlated with ALDH and negatively correlated with RAB3D and CAT in tryptophan metabolism pathway. This study sheds light on the potential mechanisms that contribute to the improved meat quality and flavor.

UPLC-MS/MS assays are reported in the current study MTBLS8957.

SPME-GC-MS assay is reported in MTBLS8958.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase, Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Liangde Kuang

PROVIDER: MTBLS8957 | MetaboLights | 2024-01-18

REPOSITORIES: MetaboLights

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			Action	DRS
	MTBLS8957	Other
	FILES	Other
	a_MTBLS8957_LC-MS_negative_reverse-phase_metabolite_profiling.txt	Txt
	a_MTBLS8957_LC-MS_positive_reverse-phase_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt

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Similar Datasets

Delineating molecular regulatory network of meat quality of longissimus dorsi indicated by transcriptomic, proteomic, and metabolomics analysis in rabbit (SPME-GC-MS assay)

Project description:This study aims to investigate the potential regulatory network responsible for the meat quality using multi-omics to help developing better varieties. Slaughter performance and meat quality of Shuxing No.1 rabbit outperformed Yila rabbit. Differentially expressed genes (DEGs) and differentially abundance proteins (DAPs) were involved in meat quality-related pathways, such as PI3K-Akt and MAPK signaling pathway. Only SMTNL1 and PM20D2 shared between DEGs and DAPs. Olfactory-sensitive undecanal, a differentially abundant metabolite (DAM) in volatilomics (vDAMs), correlated with all of the remaining 11 vDAMs and most of 12 vDAMs were associated with amino acid metabolism. Integration revealed that 829 DEGs/DAPs were associated with 15 DAMs in four KEGG pathways, such as melatonin (a DAM in widely targeted metabolomics) was significantly positively correlated with ALDH and negatively correlated with RAB3D and CAT in tryptophan metabolism pathway. This study sheds light on the potential mechanisms that contribute to the improved meat quality and flavor. SPME-GC-MS assay is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS8958' rel='noopener noreferrer' target='_blank'>MTBLS8958</a>.UPLC-MS/MS assays are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS8957' rel='noopener noreferrer' target='_blank'>MTBLS8957</a>.

2024-01-18 | MTBLS8958 | MetaboLights

Identification of differentially expressed genes in longissimus dorsi muscle between Wei and Yorkshire pigs using RNA-sequencing

Project description:Intramuscular fat (IMF) content is an important trait closely correlated with meat quality, which is highly variable among swine breeds from diverse genetic backgrounds. In order to elucidate the molecular mechanism underlying porcine meat quality, we adopted RNA-sequencing to detect transcriptome in the longissimus dorsi muscle of Wei pigs (a Chinese indigenous breed) and Yorkshire pigs (a Western lean-type breed) with different IMF content. A total of 717 differentially expressed genes (DEGs) were identified in our study, with 323 up-regulated and 394 down-regulated genes in Wei pigs compared with Yorkshire pigs. GO analysis showed that DEGs significantly related to muscle proliferation and development, lipid storage and catabolic, extracellular matrix structural constituent, and neutral amino acid transmembrane transporter activity. Pathway analysis revealed that DEGs associated with fatty acid metabolism, steroid biosynthesis, glycerophospholipid metabolism, protein digestion and absorption, and amino acid metabolism. Quantitative real time PCR confirmed the differential expression of 11 selected DEGs from both pig breeds. The results provide useful information to investigate the transcriptional profiling in skeletal muscle of different pig breeds with divergent phenotypes, and several DEGs can be taken as functional candidate genes for affecting pork quality.

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Genome-wide characterization of lncRNAs and mRNAs in muscles with differential meat quality

Project description:Meat quality is one of the most important traits in pig production. Long non-coding RNAs (lncRNAs) has been involved in diverse biological processes such as muscle development through regulating gene expression. However, studies on lncRNAs lag behind and a comparatively small number of lncRNAs have been identified in pigs. Also, effects of lncRNAs on meat quality remains to be characterized. Here, we analyzed lncRNAs in longissimus thoracis (LT) and semitendinosus (ST) muscles, being different in meat quality, with RNA-sequencing technology. A total of 500 differentially expressed lncRNAs (DELs) and 2094 protein-coding genes (DEGs) were identified. Through KEGG analysis on DELs we first made clear that fat deposition might be the main reason resulting in differential phenotype of LT and ST, on the basis of which 41 key DELs and 50 DEGs involved in differential fat deposition were characterized. One of the key genes, cAMP-response element binding protein 1, was selected to confirm its role in porcine adipogenesis with molecular biology methods and found that it promotes the differentiation of porcine preadipocytes, consistent with its higher expression level and intramuscular fat contents in LT than that in ST muscle. Furthermore, through integrated analysis of DELs and DEGs, transcription factors important for differential fat deposition were characterized among which BCL6 have the most target DEGs while MEF2A was targeted by the most DELs. The results provide candidate genes crucial for meat quality, which will contribute to revealing the molecular mechanisms underlying meat quality

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BRIN-BD11 pancreatic beta cell mRNA profile upon treatment with Class1 HDAC inhibitor MS-275

Project description:Methods: We performed mRNA sequence analysis by deep sequencing, in triplicate, using Illumina HiSeq to assess the impact of Class1 HDAC inhibitor MS-275 in regulating gene expression in BRIN-BD11 pancreatic beta cells. The transcriptome libraries were constructed using the NEB adapters and were sequenced on at 150 nucleotide read length using the paired-end chemistry. The raw reads were subjected to Adapter and low quality reads removal by Trimmomatic -0.36v. The sequence reads that passed quality filters was mapped to the Rattus_norvegicus Rnor_6.0 using STAR , counted using feature count module of sub reads package and was normalized in DESeq2-3. Differentially expressed genes were selected based on log2-ratio change with p-value <0.05 (Student‘s t test, unpaired). Hierarchical clustering was performed with the programs Cluster (uncentered correlation; average linkage clustering) and Treeview. Results: We mapped 136,002,940 (136 million reads) reads per sample to rat genome (Rnor_6.0) and observed 97% alignment to the reference rat genome. We found that 1858 genes were up regulated and 624 genes got down regulated on MS-275 treatment (log fold change ≥±2 p value < 0.05). Inference: Gene ontology reveals that the upregulated pathways upon MS-275 treatment include endocytosis, cAMP signaling, insulin secretion, Wnt signaling PI3K-Akt signaling and thermogenesis while the downregulated genes include histone modification, chromosome organization and cell cycle regulation. The study represents first detailed mRNA profiling of BRIN-BD11 pancreatic beta cell in context of modulation of expression upon treatment with Class1 HDAC inhibitor MS-275.

2019-10-22 | GSE139147 | GEO

Transcriptome profiling and Co-expression networks of longissimus dorsi muscle in Gayal（Bos frontalis）and Banna cattle（Bos taurus） with different beef qualities

Project description:The Gayal (Bos frontalis) is a rare semi-domesticated cattle in China. Gayal has typical beef body shape and good meat production performance. Compared with other cattle species, it has the characteristics of tender meat and extremely low fat content. To explore the underlying mechanism responsible for the differences of meat quality between different breeds, the longissimus dorsi muscle (LM) from Gayal and Banna cattle (Bos taurus) were investigated using transcriptome analysis. The gene expression profiling identified 638 differentially expressed genes (DEGs) between LM muscles from Gayal and Banna cattle. Gene Ontology (GO) enrichment of biological functions and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the gene products were mainly involved in the PPAR signaling pathway, lipid metabolism and amino acid metabolism pathway. Protein-protein interaction（PPI） network analysis showed APOB, CYP7A1, THBS2, ITGAV, IGFBP1 and IGF2R may have great impact on meat quality characteristics of Gayal. Moreover, three transcription factors, FOXA2, NEUROG2, and RUNX1, which may affect meat quality by regulating the expression of genes related to muscle growth and development have also been found. In summary, our research reveals the molecular mechanisms that cause Gayal meat quality characteristics. It will contribute to improving meat quality of cattle through molecular breeding.

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Glomus sp. MS strain:MS

Project description:Glomus sp. MS strain:MS Genome sequencing

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Methanosarcina barkeri MS strain:MS

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Transcriptome analysis of Liangshan pig muscle development at the growth curve inflection point and asymptotic stages using digital gene expression profiling

Project description:Animal growth curves can provide essential information for animal breeders to optimize feeding and management strategies. However, the genetic mechanism underlying the phenotypic differentiation between the inflection point and asymptotic stages of the growth curve is not well characterized. Here, we employed Liangshan pigs in stages of growth at the inflection point (under inflection point: UIP) and the two asymptotic stages (before the inflection point: BIP, after the inflection point: AIP) as models to survey global gene expression in the longissimus dorsi muscle using digital gene expression (DGE) tag profiling. We found Liangshan pigs reached maximum growth rate (UIP) at 163.6 days of age and a weight of 134.6 kg. The DGE libraries generated 117 million reads of 5.89 gigabases in length. 21,331, 20,996 and 20,139 expressed transcripts were identified BIP, UIP and AIP, respectively. Among them, we identified 757 differentially expressed genes (DEGs) between BIP and UIP, and 271 DEGs between AIP and UIP. An enrichment analysis of DEGs proved the immune system was strengthened in the AIP stage. Energy metabolism rate, global transcriptional activity and bone development intensity were highest UIP. Meat from Liangshan pigs had the highest intramuscular fat content and most favorable fatty acid composition in the AIP. Three hundred eighty (27.70%) specific expression genes were highly enriched in QTL regions for growth and meat quality traits. This study completed a comprehensive analysis of diverse genetic mechanisms underlying the inflection point and asymptotic stages of growth. Our findings will serve as an important resource in the understanding of animal growth and development in indigenous pig breeds. The aim of our study is to identify different expression genes that are linked to phenotypic differentiation (eg: grow rate, meat quality) between inflection point and asymptote stages.

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Identification of genes in longissimus dorsi muscle differentially expressed between Wannanhua and Yorkshire pigs using RNA sequencing

Project description:Western commercial pig breeds have been intensively selected, resulting in a sizeable, rapid, and efficient accretion of muscle but a reduction in meat quality. When compared with Western commercial pig breeds, Chinese indigenous pig breeds exhibited slower growth rates and reduced lean meat content but superior perceived meat quality. To study the factors that determine meat quality, we examined piglets of one Western commercial breed (Yorkshire) and one Chinese indigenous breed (Wannanhua) and sequenced the longissimus dorsi muscle using RNA-sequencing (RNA-seq). We analyzed their transcriptomes, focusing on identifying candidate genes that may influence porcine muscle growth, meat quality and adipose deposition. Gene ontology functional enrichment and pathway enrichment analyses identified differentially expressed genes primarily associated with glycolytic metabolism, biological processes of muscle development and signaling pathways related to fatty acid metabolism, growth and carcass traits. This finding suggests that the differentially expressed genes may play important roles in determining meat quality traits. Quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) confirmed the differential expression of twelve selected differentially expressed genes. This study identified a number of novel candidate genes for porcine meat quality and carcass traits that merit further investigation to elucidate the molecular mechanisms responsible for muscle growth and fat deposition.

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Transcription profiling of Bos taurus Longissimus dorsi skeletal muscle from Korean Native Cattle (Hanwoo)

Project description:To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r| > 0.8) with SF, WHC, CL, and LEA, respectively. Functional studies of these genes indicated that SF was mainly related to energy metabolism, and LEA to rRNA processing. Interestingly, our data suggested that WHC is influenced by protein metabolism. Overall, the skeletal muscle transcriptome pointed to the importance of energy and protein metabolism in determining meat quality after the aging process. The panels of transcripts for beef traits may be useful for predicting meat tenderness and moisture. Experiment Overall Design: Gene expression profiles were correlated with beef traits measured at the same cattle.

2008-11-01 | E-GEOD-9256 | biostudies-arrayexpress

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