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Illumina MiSeq 16S rRNA 基因文库制备用于家禽加工微生物组分析。

Illumina MiSeq 16S rRNA Gene Library Preparation for Poultry Processing Microbiome Analyses.

机构信息

Meat Science and Animal Biologics Discovery, Department of Animal & Dairy Sciences, University of Wisconsin-Madison, Madison, WI, USA.

Cell and Molecular Biology, University of Arkansas, Fayetteville, AR, USA.

出版信息

Methods Mol Biol. 2025;2852:273-288. doi: 10.1007/978-1-0716-4100-2_18.

DOI:10.1007/978-1-0716-4100-2_18
PMID:39235750
Abstract

The standardization of the microbiome sequencing of poultry rinsates is essential for generating comparable microbial composition data among poultry processing facilities if this technology is to be adopted by the industry. Samples must first be acquired, DNA must be extracted, and libraries must be constructed. In order to proceed to library sequencing, the samples should meet quality control standards. Finally, data must be analyzed using computer bioinformatics pipelines. This data can subsequently be incorporated into more advanced computer algorithms for risk assessment. Ultimately, *a uniform sequencing pipeline will enable both the government regulatory agencies and the poultry industry to identify potential weaknesses in food safety.This chapter presents the different steps for monitoring the population dynamics of the microbiome in poultry processing using 16S rDNA sequencing.

摘要

如果该技术要被家禽加工业采用,那么对家禽冲洗物的微生物组测序进行标准化是生成可比较的微生物组成数据的关键。首先必须采集样本,提取 DNA,构建文库。为了进行文库测序,样本应符合质量控制标准。最后,必须使用计算机生物信息学管道对数据进行分析。该数据随后可被纳入更先进的计算机算法中,以进行风险评估。最终,统一的测序管道将使政府监管机构和家禽行业能够识别食品安全方面的潜在弱点。本章介绍了使用 16S rDNA 测序监测家禽加工过程中微生物组种群动态的不同步骤。

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The changing microbiome of poultry meat; from farm to fridge.禽肉微生物组的变化:从农场到冰箱。
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Characterization of chilled chicken spoilage using an integrated microbiome and metabolomics analysis.采用微生物组学和代谢组学分析方法研究冷藏鸡肉变质特性。
Food Res Int. 2021 Jun;144:110328. doi: 10.1016/j.foodres.2021.110328. Epub 2021 Mar 27.
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QIIME 2 Enables Comprehensive End-to-End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data.
QIIME 2 支持对多样化微生物组数据进行全面的端到端分析,并与公共可用数据进行比较研究。
Curr Protoc Bioinformatics. 2020 Jun;70(1):e100. doi: 10.1002/cpbi.100.
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Comparison of six commercial kits to extract bacterial chromosome and plasmid DNA for MiSeq sequencing.比较六种商业试剂盒提取细菌染色体和质粒 DNA 用于 MiSeq 测序。
Sci Rep. 2016 Jun 17;6:28063. doi: 10.1038/srep28063.
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Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.开发一种双索引测序策略和策管管道,用于分析 MiSeq Illumina 测序平台上的扩增子序列数据。
Appl Environ Microbiol. 2013 Sep;79(17):5112-20. doi: 10.1128/AEM.01043-13. Epub 2013 Jun 21.
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Direct comparisons of Illumina vs. Roche 454 sequencing technologies on the same microbial community DNA sample.Illumina 与 Roche 454 测序技术在同一微生物群落 DNA 样本上的直接比较。
PLoS One. 2012;7(2):e30087. doi: 10.1371/journal.pone.0030087. Epub 2012 Feb 10.
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Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities.介绍 mothur:开源、独立于平台、社区支持的软件,用于描述和比较微生物群落。
Appl Environ Microbiol. 2009 Dec;75(23):7537-41. doi: 10.1128/AEM.01541-09. Epub 2009 Oct 2.