Chenning Zhang, Ying Li, Tao He, Mo Sun, Yuanyang Shao
{"title":"白色、红色和灰色苏木的差异分析:代谢组学、蛋白质组学和微生物组学之间的相互联系","authors":"Chenning Zhang, Ying Li, Tao He, Mo Sun, Yuanyang Shao","doi":"10.1155/2024/3104640","DOIUrl":null,"url":null,"abstract":"<div>\n <p>The present study aimed to systematically analyse the differences in metabolites, proteins, and the microbiota among white sufu (WS), red sufu (RS), and grey sufu (GS) by integrating multi-omics detection techniques. First, the various metabolites in sufu were identified through widely targeted metabolomics. Then, differential proteins in sufu were screened, and the principal functions of differential proteins were further mined using proteomic techniques. Finally, the microbiota in the sufu were analysed via 16S rRNA sequencing technology to observe differences in the microbial composition. The results showed that approximately 306 metabolites were present in the three kinds of sufu. Among them, there are 448 differential metabolites in RS and WS, 412 differential metabolites in WS and GS, and 517 differential metabolites in RS and GS. A total of 4663 proteins were identified. Among them, 448 differential proteins were found in RS and WS, 412 differential proteins were identified in WS and GS, and 517 differential proteins were detected in RS and GS. Approximately 77 types of microbes were distributed among three kinds of sufu. The population of WS is mainly distributed with 55.3% of protobacteria and 42.5% of Firmicutes. <i>Proteobacteria</i> and <i>Firmicutes</i> were the dominant microbial phyla common to the three kinds of sufu: the dominant bacteria in WS, RS, and GS were <i>Enterobacter</i>, <i>Pantoea</i>, and <i>Kluyveromyces</i>. The integrative crosstalk of multi-omics analysis illustrated that the metabolites, proteins, and microorganisms in sufu are closely interrelated and together produce unique amino acids in different kinds of sufu.</p>\n </div>","PeriodicalId":15802,"journal":{"name":"Journal of Food Biochemistry","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3104640","citationCount":"0","resultStr":"{\"title\":\"Difference Analysis of White, Red, and Grey Sufu: Crosstalk between Metabolomics, Proteomics, and Microbiomics\",\"authors\":\"Chenning Zhang, Ying Li, Tao He, Mo Sun, Yuanyang Shao\",\"doi\":\"10.1155/2024/3104640\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p>The present study aimed to systematically analyse the differences in metabolites, proteins, and the microbiota among white sufu (WS), red sufu (RS), and grey sufu (GS) by integrating multi-omics detection techniques. First, the various metabolites in sufu were identified through widely targeted metabolomics. Then, differential proteins in sufu were screened, and the principal functions of differential proteins were further mined using proteomic techniques. Finally, the microbiota in the sufu were analysed via 16S rRNA sequencing technology to observe differences in the microbial composition. The results showed that approximately 306 metabolites were present in the three kinds of sufu. Among them, there are 448 differential metabolites in RS and WS, 412 differential metabolites in WS and GS, and 517 differential metabolites in RS and GS. A total of 4663 proteins were identified. Among them, 448 differential proteins were found in RS and WS, 412 differential proteins were identified in WS and GS, and 517 differential proteins were detected in RS and GS. Approximately 77 types of microbes were distributed among three kinds of sufu. The population of WS is mainly distributed with 55.3% of protobacteria and 42.5% of Firmicutes. <i>Proteobacteria</i> and <i>Firmicutes</i> were the dominant microbial phyla common to the three kinds of sufu: the dominant bacteria in WS, RS, and GS were <i>Enterobacter</i>, <i>Pantoea</i>, and <i>Kluyveromyces</i>. 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Difference Analysis of White, Red, and Grey Sufu: Crosstalk between Metabolomics, Proteomics, and Microbiomics
The present study aimed to systematically analyse the differences in metabolites, proteins, and the microbiota among white sufu (WS), red sufu (RS), and grey sufu (GS) by integrating multi-omics detection techniques. First, the various metabolites in sufu were identified through widely targeted metabolomics. Then, differential proteins in sufu were screened, and the principal functions of differential proteins were further mined using proteomic techniques. Finally, the microbiota in the sufu were analysed via 16S rRNA sequencing technology to observe differences in the microbial composition. The results showed that approximately 306 metabolites were present in the three kinds of sufu. Among them, there are 448 differential metabolites in RS and WS, 412 differential metabolites in WS and GS, and 517 differential metabolites in RS and GS. A total of 4663 proteins were identified. Among them, 448 differential proteins were found in RS and WS, 412 differential proteins were identified in WS and GS, and 517 differential proteins were detected in RS and GS. Approximately 77 types of microbes were distributed among three kinds of sufu. The population of WS is mainly distributed with 55.3% of protobacteria and 42.5% of Firmicutes. Proteobacteria and Firmicutes were the dominant microbial phyla common to the three kinds of sufu: the dominant bacteria in WS, RS, and GS were Enterobacter, Pantoea, and Kluyveromyces. The integrative crosstalk of multi-omics analysis illustrated that the metabolites, proteins, and microorganisms in sufu are closely interrelated and together produce unique amino acids in different kinds of sufu.
期刊介绍:
The Journal of Food Biochemistry publishes fully peer-reviewed original research and review papers on the effects of handling, storage, and processing on the biochemical aspects of food tissues, systems, and bioactive compounds in the diet.
Researchers in food science, food technology, biochemistry, and nutrition, particularly based in academia and industry, will find much of great use and interest in the journal. Coverage includes:
-Biochemistry of postharvest/postmortem and processing problems
-Enzyme chemistry and technology
-Membrane biology and chemistry
-Cell biology
-Biophysics
-Genetic expression
-Pharmacological properties of food ingredients with an emphasis on the content of bioactive ingredients in foods
Examples of topics covered in recently-published papers on two topics of current wide interest, nutraceuticals/functional foods and postharvest/postmortem, include the following:
-Bioactive compounds found in foods, such as chocolate and herbs, as they affect serum cholesterol, diabetes, hypertension, and heart disease
-The mechanism of the ripening process in fruit
-The biogenesis of flavor precursors in meat
-How biochemical changes in farm-raised fish are affecting processing and edible quality