Bacterial Community Structures in Raw Pork from Supermarkets and Farmers' Markets Determined by High-Throughput Sequencing Analysis.

IF 1.9 2区农林科学 Q3 FOOD SCIENCE & TECHNOLOGY

Foodborne pathogens and disease Pub Date : 2025-02-18 DOI:10.1089/fpd.2024.0012

Ge Zhao, Na Lv, Wenjun Xiang, Yunzhe Liu, Shiping Song, Lin Wang, Xiyue Zhang, Yubin Gao, Na Liu, Junhui Liu, Junwei Wang, Ming Zou

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Abstract

Pork contaminated with bacteria can shorten the shelf life and cause foodborne diseases. Bacterial community analysis of raw pork in sale process can help identify bacteria associated with food quality and safety. In this study, 52 pork samples were collected from various supermarkets and farmers' markets in Qingdao, China. And the bacterial community structures in pork were analyzed by high-throughput sequencing of 16S rDNA. Both the α-diversity and β-diversity of bacterial communities in pork samples from farmers' market were higher than those from supermarkets (ANOSIM test, R² = 0.049, p = 0.016). Proteobacteria (88.8%) was the most dominant phylum, and Photobacterium (44.5%) and Acinetobacter (23.9%) were the top two dominant genera in all pork samples. The abundance of most dominant bacterial genera was higher in pork samples from farmers' markets than those from supermarkets, But Photobacterium (ranking first) was just the opposite (p = 0.003). The bacterial communities in pork hadn't obvious clustering characteristics between the two sale locations, while Photobacterium was considered as the biomarker in pork samples from supermarkets according to LefSe analysis (linear discriminant analysis score >4.0). A strong correlation was observed between some samples (R >0.7) collected from different stalls within the same sampling location, indicating cross-contamination possibility in sale process. The findings may have implications for the quality and safety control of pork, particularly for microbial prevention and control during selling and consumption.

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超市和农贸市场生猪肉细菌群落结构的高通量测序分析

被细菌污染的猪肉会缩短保质期并引起食源性疾病。对生猪肉销售过程中的细菌群落进行分析，有助于识别与食品质量安全有关的细菌。在这项研究中，从中国青岛的各超市和农贸市场收集了52个猪肉样本。采用16S rDNA高通量测序技术对猪肉细菌群落结构进行了分析。农贸市场猪肉样品细菌群落α-多样性和β-多样性均高于超市（ANOSIM检验，R2 = 0.049, p = 0.016）。变形菌门（88.8%）、光杆菌（44.5%）和不动杆菌（23.9%）是所有猪肉样品中最具优势的门。农贸市场猪肉样品中多数优势菌属的丰度高于超市样品，而光菌属的丰度最高（p = 0.003）。猪肉中的细菌群落在两个销售点之间没有明显的聚类特征，而根据LefSe分析（线性判别分析得分>4.0），光杆菌被认为是超市猪肉样品中的生物标志物。从同一采样地点的不同摊位采集的一些样品之间存在很强的相关性（r> 0.7），表明在销售过程中存在交叉污染的可能性。这一发现可能对猪肉的质量和安全控制，特别是对销售和消费过程中的微生物预防和控制产生影响。

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来源期刊

Foodborne pathogens and disease 医学-食品科技

CiteScore

5.30

自引率

3.60%

发文量

审稿时长

1 months

期刊介绍： Foodborne Pathogens and Disease is one of the most inclusive scientific publications on the many disciplines that contribute to food safety. Spanning an array of issues from "farm-to-fork," the Journal bridges the gap between science and policy to reduce the burden of foodborne illness worldwide. Foodborne Pathogens and Disease coverage includes: Agroterrorism Safety of organically grown and genetically modified foods Emerging pathogens Emergence of drug resistance Methods and technology for rapid and accurate detection Strategies to destroy or control foodborne pathogens Novel strategies for the prevention and control of plant and animal diseases that impact food safety Biosecurity issues and the implications of new regulatory guidelines Impact of changing lifestyles and consumer demands on food safety.