Cargando…

Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage

Ready-to-eat (RTE) chicken is a popular food in China, but its lack of food safety due to bacterial contamination remains a concern, and the dynamic changes of microbial association networks during storage are not fully understood. This study investigated the impact of storage time and temperature o...

Descripción completa

Detalles Bibliográficos
Autores principales: Qiu, Mengjia, Xiao, Xingning, Xiao, Yingping, Ma, Jiele, Yang, Hua, Jiang, Han, Dong, Qingli, Wang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689599/
https://www.ncbi.nlm.nih.gov/pubmed/36429325
http://dx.doi.org/10.3390/foods11223733
_version_ 1784836575944769536
author Qiu, Mengjia
Xiao, Xingning
Xiao, Yingping
Ma, Jiele
Yang, Hua
Jiang, Han
Dong, Qingli
Wang, Wen
author_facet Qiu, Mengjia
Xiao, Xingning
Xiao, Yingping
Ma, Jiele
Yang, Hua
Jiang, Han
Dong, Qingli
Wang, Wen
author_sort Qiu, Mengjia
collection PubMed
description Ready-to-eat (RTE) chicken is a popular food in China, but its lack of food safety due to bacterial contamination remains a concern, and the dynamic changes of microbial association networks during storage are not fully understood. This study investigated the impact of storage time and temperature on bacterial compositions and microbial association networks in RTE chicken using 16S rDNA high-throughput sequencing. The results show that the predominant phyla present in all samples were Proteobacteria and Firmicutes, and the most abundant genera were Weissella, Pseudomonas and Proteus. Increased storage time and temperature decreased the richness and diversity of the microorganisms of the bacterial communities. Higher storage temperatures impacted the bacterial community composition more significantly. Microbial interaction analyses showed 22 positive and 6 negative interactions at 4 °C, 30 positive and 12 negative interactions at 8 °C and 44 positive and 45 negative interactions at 22 °C, indicating an increase in the complexity of interaction networks with an increase in the storage temperature. Enterobacter dominated the interactions during storage at 4 and 22 °C, and Pseudomonas did so at 22 °C. Moreover, interactions between pathogenic and/or spoilage bacteria, such as those between Pseudomonas fragi and Weissella viridescens, Enterobacter unclassified and Proteus unclassified, or those between Enterobacteriaceae unclassified and W.viridescens, were observed. This study provides insight into the process involved in RTE meat spoilage and can aid in improving the quality and safety of RTE meat products to reduce outbreaks of foodborne illness.
format Online
Article
Text
id pubmed-9689599
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96895992022-11-25 Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage Qiu, Mengjia Xiao, Xingning Xiao, Yingping Ma, Jiele Yang, Hua Jiang, Han Dong, Qingli Wang, Wen Foods Article Ready-to-eat (RTE) chicken is a popular food in China, but its lack of food safety due to bacterial contamination remains a concern, and the dynamic changes of microbial association networks during storage are not fully understood. This study investigated the impact of storage time and temperature on bacterial compositions and microbial association networks in RTE chicken using 16S rDNA high-throughput sequencing. The results show that the predominant phyla present in all samples were Proteobacteria and Firmicutes, and the most abundant genera were Weissella, Pseudomonas and Proteus. Increased storage time and temperature decreased the richness and diversity of the microorganisms of the bacterial communities. Higher storage temperatures impacted the bacterial community composition more significantly. Microbial interaction analyses showed 22 positive and 6 negative interactions at 4 °C, 30 positive and 12 negative interactions at 8 °C and 44 positive and 45 negative interactions at 22 °C, indicating an increase in the complexity of interaction networks with an increase in the storage temperature. Enterobacter dominated the interactions during storage at 4 and 22 °C, and Pseudomonas did so at 22 °C. Moreover, interactions between pathogenic and/or spoilage bacteria, such as those between Pseudomonas fragi and Weissella viridescens, Enterobacter unclassified and Proteus unclassified, or those between Enterobacteriaceae unclassified and W.viridescens, were observed. This study provides insight into the process involved in RTE meat spoilage and can aid in improving the quality and safety of RTE meat products to reduce outbreaks of foodborne illness. MDPI 2022-11-21 /pmc/articles/PMC9689599/ /pubmed/36429325 http://dx.doi.org/10.3390/foods11223733 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qiu, Mengjia
Xiao, Xingning
Xiao, Yingping
Ma, Jiele
Yang, Hua
Jiang, Han
Dong, Qingli
Wang, Wen
Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage
title Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage
title_full Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage
title_fullStr Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage
title_full_unstemmed Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage
title_short Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage
title_sort dynamic changes of bacterial communities and microbial association networks in ready-to-eat chicken meat during storage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689599/
https://www.ncbi.nlm.nih.gov/pubmed/36429325
http://dx.doi.org/10.3390/foods11223733
work_keys_str_mv AT qiumengjia dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage
AT xiaoxingning dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage
AT xiaoyingping dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage
AT majiele dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage
AT yanghua dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage
AT jianghan dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage
AT dongqingli dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage
AT wangwen dynamicchangesofbacterialcommunitiesandmicrobialassociationnetworksinreadytoeatchickenmeatduringstorage