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宏基因组分析揭示了市售鸡肉复杂的微生物群落景观。

Metagenomic Analysis Reveals the Complex Microbial Landscape of Market Chicken Meat.

作者信息

Anjaria Pranav, Koringa Prakash, Bhavsar Prakrutik, Soni Manasi, Desai Mansi, Nayak Jitendrakumar, Chowdhury Somak, Jangid Kamlesh, Brahmbhatt M N

机构信息

Department of Veterinary Public Health and Epidemiology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat 388001 India.

Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Anand, Gujarat 388001 India.

出版信息

Indian J Microbiol. 2024 Dec;64(4):1846-1855. doi: 10.1007/s12088-024-01249-y. Epub 2024 Apr 1.

Abstract

UNLABELLED

The safety of meat from a microbiological standpoint is of paramount concern to public health, given the potential for bacterial contaminants to grow and persist during processing and storage. To address this issue, a culture-independent approach targeting the V3-V4 region of the gene was utilized to investigate the inherent bacterial communities present in 10 chicken meat samples obtained from retail markets. Amplicons were sequenced using the Illumina MiSeq platform, and unique amplicon sequence variants (ASVs) were identified using the DADA2 pipeline. Results indicated the presence of 5 phyla, 7 classes, 16 orders, 33 families, 59 genera, and 273 unique ASVs. The dominant families were , , , , , and , comprising 27.03, 22.04, 15.67, 9.40, 7.92, and 5.02% of the identified families, respectively. Functional analysis using PICRUSt showed a diverse range of functional pathways. These findings have significant implications for policymaking regarding food safety and public health. Regular monitoring of bacterial communities in meat products is crucial to ensure their safety for consumption. This study demonstrates the utility of culture-independent approaches in characterizing microbial communities, which can provide valuable information for ensuring food safety and safeguarding public health.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s12088-024-01249-y.

摘要

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从微生物学角度来看,肉类安全是公共卫生的首要关注点,因为细菌污染物在加工和储存过程中有可能生长并持续存在。为解决这一问题,采用了一种针对基因V3 - V4区域的非培养方法,来调查从零售市场获取的10份鸡肉样本中存在的固有细菌群落。使用Illumina MiSeq平台对扩增子进行测序,并使用DADA2流程识别独特的扩增子序列变体(ASV)。结果表明存在5个门、7个纲、16个目、33个科、59个属和273个独特的ASV。优势科分别是 、 、 、 、 和 ,分别占已识别科的27.03%、22.04%、15.67%、9.40%、7.92%和5.02%。使用PICRUSt进行的功能分析显示了多种功能途径。这些发现对食品安全和公共卫生政策制定具有重要意义。定期监测肉类产品中的细菌群落对于确保其食用安全至关重要。本研究证明了非培养方法在表征微生物群落方面的实用性,可为确保食品安全和保障公共卫生提供有价值的信息。

补充信息

在线版本包含可在10.1007/s12088 - 024 - 01249 - y获取的补充材料。

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