| Chilled meat is replacing hot meat as the mainstream of people’s meat consumption,but a large part of the annual loss due to microbial pollution caused by corruption.In this study,the chilled Tan mutton and surface microorganisms in tray sealed packaging under storage conditions of 0-4℃ were taken as the research object.Transcriptomics was used to explore the differential expression of genes during storage,and the key differential genes were screened out and functionally annotated and enriched.According to their changes during storage,the effects on meat quality were analyzed.The dominant microorganisms were identified by genomics,proteomics and metabolomics techniques,and the key differential proteins and metabolites were screened and combined with key differential genes for multi-omics combined analysis.The regulatory network was constructed to clarify the regulation of pathways and reveal the driving mechanism of microbial community succession during chilled Tan mutton storage.The results of the study are summarized and integrated,the software structure and user interface are designed,the variation fitting curves of microorganisms,genes,proteins and metabolites are plotted,and the simulation software is developed using C#language programming,which helps to carry out quality forecasting during the storage process of the chilled Tan sheep meat and deepen the understanding of the corruption mechanism during the storage and transportation of the chilled Tan sheep meat.1.RNA-seq technique was used to determine the gene composition of meat and microbial community of Tan Sheep and analyze the differentially expressed genes.The number of differentially expressed genes in 0/4d group,4/8d group and 0/8d group were 259,7 and 1101,respectively.In 0/4d group,135 genes were up-regulated and 124 genes were down-regulated.In 4/8d group,there were 2 up-regulated genes and 5 down-regulated genes.In 0/8d group,there were 459 up-regulated genes and 642 down-regulated genes.Five key differential genes,RPS24,TNNC1,A2M,TTN and MPC2,were screened by Venn diagram and analyzed online to encode Ribosomal protein S24,Troponin C1,α2-macroglobulin,Myoglobin and Mitochondrial pyruvate vector 2,respectively.According to the function of the key differential genes and the changes of the chilled Tan sheep meat during storage,it was analyzed that the key differential genes could significantly reduce the life vigor,freshness and tenderness of the chilled Tan sheep meat during storage.2.According to certain conditions,5 dominant microorganisms(Pseudomonas,Enterobacter,Brochothrix,Lactobacillus and Acinetobacter),9 key differential proteins(Growth regulation alpha protein,Necrosis-inducing Phytophthaloprotein,NADH-ubiquinone oxidase chain 4L,Antimicrobial peptides,ATP synthetic protein,Apolipoprotein C-Ⅱ,Beta2-microglobulin,Prion proteins and Thioxyroxin)and 6 key differential metabolites(D-glyceric acid,1-phosphate glucose,Asparagine,5’-inositine,Aspartic acid and Phenylalanine).Combined with the 5 key differential genes screened in the second chapter,the correlation analysis between the two was carried out,and the regulatory network of microbial community succession during the storage of the chilled Tan mutton was constructed,showing a significant positive and negative correlation between the groups.The key differential genes of Tan sheep cells act on the metabolism of matter and energy through the PI3K-Akt signaling pathway and Glycolysis/Gluconeogenesis pathway,which affects the utilization of substrates and energy by microorganisms;the key differential proteins synthesized by microorganisms inhibit or promote the pathways where the key differential metabolites are located,and the increase or decrease of protein content causes changes in metabolites;the production and change of metabolites affect environmental factors such as oxygen content and pH.It will also promote or inhibit the use of microbial substrates to promote the succession of microbial communities.3.The contents of chapters 2 and 3 and the previous omics research results of the members of the research group were integrated,and the fitting curves of microbial communities,differential proteins,differential metabolites and differential genes were drawn to achieve the predictive function of the software.Based on the Visual Studio 2019,the simulation and prediction software of the successional driving mechanism of the microbial community of the cooling beach lamb was developed using the C#language.The software includes microorganisms,genes,proteins,metabolites,etc.,predicts its quantity or the number of storage days of cooling beach lamb through fitting curves,and performs a more intuitive dynamic simulation demonstration of the succession of microbial communities and the internal driving mechanism during the storage process of chilled Tan sheep meat. |
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