Project description:In order to further improve the meat quality performance of Shuxing No. 1 rabbit, IRA rabbits with better meat quality performance were selected for comparative study. The proteomic data of longissimus dorsi muscle of two breeds of rabbits were obtained.
Project description:<p>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.</p><p><br></p><p><strong>UPLC-MS/MS assays</strong> are reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS8957' rel='noopener noreferrer' target='_blank'><strong>MTBLS8957</strong></a>.</p><p><strong>SPME-GC-MS assay</strong> is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS8958' rel='noopener noreferrer' target='_blank'><strong>MTBLS8958</strong></a>.</p>
Project description:<p>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.</p><p><br></p><p><strong>SPME-GC-MS assay</strong> is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS8958' rel='noopener noreferrer' target='_blank'><strong>MTBLS8958</strong></a>.</p><p><strong>UPLC-MS/MS assays</strong> are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS8957' rel='noopener noreferrer' target='_blank'><strong>MTBLS8957</strong></a>.</p>
Project description:Colorectal cancer (CRC) is strongly affected by diet, with red and processed meat increasing risk. To understand the role of microbiome in this phenomenon and to identify specific microbiome/metabolomics profiles associated with CRC risk, will be studied: 1) healthy volunteers fed for 3 months with: a high-CRC risk diet (meat-based MBD), a normalized CRC risk diet (MBD plus alpha-tocopherol, MBD-T), a low-CRC risk diet (pesco-vegetarian, PVD). At the beginning and at the end of the intervention, gut microbiome profiles (metagenomics and metabolomics), and CRC biomarkers (genotoxicity, cytotoxicity, peroxidation in faecal water; lipid/glycemic indexes, inflammatory cytokines, oxidative stress), 2) Colon carcinogenesis: the same diets will be fed (3 months) to carcinogen-induced rats or to Pirc rats, mutated in Apc, the key gene in CRC; faecal microbiome profiles, will be correlated to carcinogenesis measuring preneoplastic lesions, colon tumours, and faecal and blood CRC biomarkers as in humans; 3) To further elucidate the mechanisms underlying the effect of different microbiomes in determining CRC risk, faeces from rats fed the experimental diets will be transplanted into carcinogen-induced germ-free rats, measuring how microbiome changes correlate with metabolome and disease outcomes. The results will provide fundamental insight in the role of microbiome in determining the effect of the diet, in particular red/processed meat intake, on CRC risk