Literature DB >> 34291217

Study on Microbial Community Succession and Protein Hydrolysis of Donkey Meat during Refrigerated Storage Based on Illumina NOVA Sequencing Technology.

Zixiang Wei1, Ruidong Chu2, Lanjie Li2, Jingjing Zhang3, Huachen Zhang2, Xiaohong Pan2, Yifan Dong2, Guiqin Liu2.   

Abstract

In this study, the microbial community succession and the protein hydrolysis of donkey meat during refrigerated (4°C) storage were investigated. 16S rDNA sequencing method was used to analyze the bacteria community structure and succession in the level of genome. Meanwhile, the volatile base nitrogen (TVB-N) was measured to evaluate the degradation level of protein. After sorting out the sequencing results, 1,274,604 clean data were obtained, which were clustered into 2,064 into operational taxonomic units (OTUs), annotated to 32 phyla and 527 genus. With the prolonging of storage time, the composition of microorganism changed greatly. At the same time, the diversity and richness of microorganism decreased and then increased. During the whole storage period, Proteobacteria was the dominant phyla, and the Photobacterium, Pseudompnas, and Acinetobacter were the dominant genus. According to correlation analysis, it was found that the abundance of these dominant bacteria was significantly positively correlated with the variation of TVB-N. And Pseudomonas might play an important role in the production of TVB-N during refrigerated storage of donkey meat. The predicted metabolic pathways, based on PICRUSt analysis, indicated that amino metabolism in refrigerated donkey meat was the main metabolic pathways. This study provides insight into the process involved in refrigerated donkey meat spoilage, which provides a foundation for the development of antibacterial preservative for donkey meat. © Korean Society for Food Science of Animal Resources.

Entities:  

Keywords:  Illumina NOVA sequencing technology; bacteria; community succession; donkey meat; refrigerated storage

Year:  2021        PMID: 34291217      PMCID: PMC8277172          DOI: 10.5851/kosfa.2021.e30

Source DB:  PubMed          Journal:  Food Sci Anim Resour        ISSN: 2636-0772


  40 in total

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Journal:  Meat Sci       Date:  2007-07-05       Impact factor: 5.209

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Journal:  Genome Res       Date:  2011-01-06       Impact factor: 9.043

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Authors:  José M Rodríguez-Calleja; Margaret F Patterson; Isabel García-López; Jesús A Santos; Andrés Otero; María-Luisa García-López
Journal:  J Food Prot       Date:  2005-03       Impact factor: 2.077

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Authors:  Fan Zhao; Guanghong Zhou; Keping Ye; Shuaiwu Wang; Xinglian Xu; Chunbao Li
Journal:  Meat Sci       Date:  2015-02       Impact factor: 5.209

5.  Exploring lot-to-lot variation in spoilage bacterial communities on commercial modified atmosphere packaged beef.

Authors:  Elina Säde; Katri Penttinen; Johanna Björkroth; Jenni Hultman
Journal:  Food Microbiol       Date:  2016-10-03       Impact factor: 5.516

6.  Different molecular types of Pseudomonas fragi have the same overall behaviour as meat spoilers.

Authors:  Danilo Ercolini; Annalisa Casaburi; Antonella Nasi; Ilario Ferrocino; Rossella Di Monaco; Pasquale Ferranti; Gianluigi Mauriello; Francesco Villani
Journal:  Int J Food Microbiol       Date:  2010-06-25       Impact factor: 5.277

7.  High-throughput sequencing analysis of bacterial community composition and quality characteristics in refrigerated pork during storage.

Authors:  Ning Li; Youxiong Zhang; Qingping Wu; Qihui Gu; Moutong Chen; Yinzhi Zhang; Xiulan Sun; Jumei Zhang
Journal:  Food Microbiol       Date:  2019-05-04       Impact factor: 5.516

8.  A numerical taxonomic study of Pseudomonas strains from spoiled meat.

Authors:  B G Shaw; J B Latty
Journal:  J Appl Bacteriol       Date:  1982-04

9.  Monitoring the succession of the biota grown on a selective medium for pseudomonads during storage of minced beef with molecular-based methods.

Authors:  Agapi I Doulgeraki; George-John E Nychas
Journal:  Food Microbiol       Date:  2012-12-03       Impact factor: 5.516

10.  Overlap of Spoilage-Associated Microbiota between Meat and the Meat Processing Environment in Small-Scale and Large-Scale Retail Distributions.

Authors:  Giuseppina Stellato; Antonietta La Storia; Francesca De Filippis; Giorgia Borriello; Francesco Villani; Danilo Ercolini
Journal:  Appl Environ Microbiol       Date:  2016-06-13       Impact factor: 4.792

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