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肠道宏基因组分析策略的比较。

Cross-comparison of gut metagenomic profiling strategies.

机构信息

Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.

MTA-SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary.

出版信息

Commun Biol. 2024 Nov 6;7(1):1445. doi: 10.1038/s42003-024-07158-6.

DOI:10.1038/s42003-024-07158-6
PMID:39505993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11541596/
Abstract

The rapid advancements in sequencing technologies and bioinformatics have enabled metagenomic research of complex microbial systems, but reliable results depend on consistent laboratory and bioinformatics approaches. Current efforts to identify best practices often focus on optimizing specific steps, making it challenging to understand the influence of each stage on microbial population analysis and compare data across studies. This study evaluated DNA extraction, library construction methodologies, sequencing platforms, and computational approaches using a dog stool sample, two synthetic microbial community mixtures, and various sequencing data sources. Our work, the most comprehensive evaluation of metagenomic methods to date. We developed a software tool, termed minitax, which provides consistent results across the range of platforms and methodologies. Our findings showed that the Zymo Research Quick-DNA HMW MagBead Kit, Illumina DNA Prep library preparation method, and the minitax bioinformatics tool were the most effective for high-quality microbial diversity analysis. However, the effectiveness of pipelines or method combinations is sample-specific, making it difficult to identify a universally optimal approach. Therefore, employing multiple approaches is crucial for obtaining reliable outcomes in microbial systems.

摘要

测序技术和生物信息学的快速发展使复杂微生物系统的宏基因组研究成为可能,但可靠的结果取决于一致的实验室和生物信息学方法。当前,确定最佳实践的努力通常侧重于优化特定步骤,这使得理解每个阶段对微生物种群分析的影响以及比较研究之间的数据变得具有挑战性。本研究使用狗粪便样本、两种合成微生物群落混合物和各种测序数据源,评估了 DNA 提取、文库构建方法、测序平台和计算方法。我们的工作是迄今为止对宏基因组方法最全面的评估。我们开发了一种名为 minitax 的软件工具,该工具在各种平台和方法范围内提供一致的结果。我们的研究结果表明,Zymo Research Quick-DNA HMW MagBead Kit、Illumina DNA Prep 文库制备方法和 minitax 生物信息学工具最适合高质量的微生物多样性分析。然而,管道或方法组合的有效性是特定于样本的,因此很难确定普遍最优的方法。因此,在微生物系统中获得可靠结果的关键是采用多种方法。

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2
Human microbiome myths and misconceptions.人类微生物组的误区和误解。
Nat Microbiol. 2023 Aug;8(8):1392-1396. doi: 10.1038/s41564-023-01426-7. Epub 2023 Jul 31.
3
Gut microbiome profiling of neonates using Nanopore MinION and Illumina MiSeq sequencing.使用纳米孔MinION和Illumina MiSeq测序对新生儿肠道微生物群进行分析。
Front Microbiol. 2023 May 15;14:1148466. doi: 10.3389/fmicb.2023.1148466. eCollection 2023.
4
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets.评价长读 shotgun 宏基因组测序数据集的分类和分析方法。
BMC Bioinformatics. 2022 Dec 13;23(1):541. doi: 10.1186/s12859-022-05103-0.
5
The dynamic lung microbiome in health and disease.健康与疾病中的动态肺部微生物组。
Nat Rev Microbiol. 2023 Apr;21(4):222-235. doi: 10.1038/s41579-022-00821-x. Epub 2022 Nov 16.
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Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data.鸸鹋:全长 16S rRNA Oxford Nanopore 测序数据的种水平微生物群落分析。
Nat Methods. 2022 Jul;19(7):845-853. doi: 10.1038/s41592-022-01520-4. Epub 2022 Jun 30.
7
A comparison of six DNA extraction protocols for 16S, ITS and shotgun metagenomic sequencing of microbial communities.六种 DNA 提取方案对微生物群落 16S、ITS 和 shotgun 宏基因组测序的比较。
Biotechniques. 2022 Jun;73(1):34-46. doi: 10.2144/btn-2022-0032. Epub 2022 Jun 17.
8
Analysis and Comparison of Gut Microbiome in Young Detection Dogs.年轻缉毒犬肠道微生物群的分析与比较
Front Microbiol. 2022 Apr 19;13:872230. doi: 10.3389/fmicb.2022.872230. eCollection 2022.
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Signal Transduct Target Ther. 2022 Apr 23;7(1):135. doi: 10.1038/s41392-022-00974-4.
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Acta Vet Scand. 2022 Mar 28;64(1):8. doi: 10.1186/s13028-022-00628-z.