• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

与培养方法相比,扩增子测序为健康儿童提供了更准确的微生物组信息。

Amplicon sequencing provides more accurate microbiome information in healthy children compared to culturing.

机构信息

1Section of Microbiology, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark.

2Department of Bacterial, Parasites and Fungi, Statens Serum Institut, 2300 Copenhagen S, Denmark.

出版信息

Commun Biol. 2019 Aug 5;2:291. doi: 10.1038/s42003-019-0540-1. eCollection 2019.

DOI:10.1038/s42003-019-0540-1
PMID:31396571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6683184/
Abstract

Next-Generation Sequencing (NGS) of 16S rRNA gene is now one of the most widely used application to investigate the microbiota at any given body site in research. Since NGS is more sensitive than traditional culture methods (TCMs), many studies have argued for them to replace TCMs. However, are we really ready for this transition? Here we compare the diagnostic efficiency of the two methods using a large number of samples ( = 1,748 fecal and  = 1,790 hypopharyngeal), among healthy children at different time points. Here we show that bacteria identified by NGS represented 75.70% of the unique bacterial species cultured in each sample, while TCM only identified 23.86% of the bacterial species found by amplicon sequencing. We discuss the pros and cons of both methods and provide perspective on how NGS can be implemented effectively in clinical settings.

摘要

下一代测序(NGS)16S rRNA 基因是目前研究中最广泛应用于研究任何特定身体部位微生物组的方法之一。由于 NGS 比传统的培养方法(TCMs)更敏感,许多研究主张用 NGS 替代 TCMs。然而,我们真的准备好进行这种转变了吗?在这里,我们使用大量样本(健康儿童在不同时间点的粪便样本=1748 个,咽喉样本=1790 个)比较了这两种方法的诊断效率。结果显示,NGS 鉴定的细菌占每个样本培养的独特细菌种类的 75.70%,而 TCM 仅鉴定出扩增测序发现的细菌种类的 23.86%。我们讨论了这两种方法的优缺点,并就如何在临床环境中有效地实施 NGS 提供了一些观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ee8/6683184/093075a48ed3/42003_2019_540_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ee8/6683184/14b73afa509a/42003_2019_540_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ee8/6683184/99e41241ad9f/42003_2019_540_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ee8/6683184/093075a48ed3/42003_2019_540_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ee8/6683184/14b73afa509a/42003_2019_540_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ee8/6683184/99e41241ad9f/42003_2019_540_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ee8/6683184/093075a48ed3/42003_2019_540_Fig3_HTML.jpg

相似文献

1
Amplicon sequencing provides more accurate microbiome information in healthy children compared to culturing.与培养方法相比,扩增子测序为健康儿童提供了更准确的微生物组信息。
Commun Biol. 2019 Aug 5;2:291. doi: 10.1038/s42003-019-0540-1. eCollection 2019.
2
Are all faecal bacteria detected with equal efficiency? A study using next-generation sequencing and quantitative culture of infants' faecal samples.所有粪便细菌的检测效率都一样吗?一项使用下一代测序和婴儿粪便样本定量培养的研究。
J Microbiol Methods. 2020 Oct;177:106018. doi: 10.1016/j.mimet.2020.106018. Epub 2020 Aug 11.
3
Hitchhiker's guide to microbiome studies.微生物组研究指南
Cardiovasc Res. 2020 Mar 1;116(3):e44-e47. doi: 10.1093/cvr/cvz316.
4
Analysis of Transcriptionally Active Bacteria Throughout the Gastrointestinal Tract of Healthy Individuals.健康个体整个胃肠道中具有转录活性的细菌分析。
Gastroenterology. 2019 Oct;157(4):1081-1092.e3. doi: 10.1053/j.gastro.2019.05.068. Epub 2019 Jun 5.
5
High-Resolution Differentiation of Enteric Bacteria in Premature Infant Fecal Microbiomes Using a Novel rRNA Amplicon.利用新型 rRNA 扩增子对早产儿粪便微生物组中的肠细菌进行高分辨率区分。
mBio. 2021 Feb 16;12(1):e03656-20. doi: 10.1128/mBio.03656-20.
6
Profiling the Gastrointestinal Microbiota.肠道微生物组学分析。
Methods Mol Biol. 2021;2283:83-92. doi: 10.1007/978-1-0716-1302-3_10.
7
A comparison of sequencing platforms and bioinformatics pipelines for compositional analysis of the gut microbiome.用于肠道微生物组组成分析的测序平台和生物信息学管道的比较。
BMC Microbiol. 2017 Sep 13;17(1):194. doi: 10.1186/s12866-017-1101-8.
8
Quantifying technical confounders in microbiome studies.量化微生物组研究中的技术混杂因素。
Cardiovasc Res. 2021 Feb 22;117(3):863-875. doi: 10.1093/cvr/cvaa128.
9
Full-length 16S rRNA gene amplicon analysis of human gut microbiota using MinION™ nanopore sequencing confers species-level resolution.使用 MinION™ 纳米孔测序对人类肠道微生物组全长 16S rRNA 基因扩增子进行分析可提供种水平分辨率。
BMC Microbiol. 2021 Jan 26;21(1):35. doi: 10.1186/s12866-021-02094-5.
10
High-resolution ISR amplicon sequencing reveals personalized oral microbiome.高分辨率 ISR 扩增子测序揭示个性化口腔微生物组。
Microbiome. 2018 Sep 5;6(1):153. doi: 10.1186/s40168-018-0535-z.

引用本文的文献

1
Integrative systems biology approaches for analyzing microbiome dysbiosis and species interactions.用于分析微生物群落失调和物种相互作用的整合系统生物学方法。
Brief Bioinform. 2025 Jul 2;26(4). doi: 10.1093/bib/bbaf323.
2
Infection with the entomopathogenic nematodes Steinernema alters the Drosophila melanogaster larval microbiome.感染昆虫病原线虫斯氏线虫会改变黑腹果蝇幼虫的微生物群落。
PLoS One. 2025 May 16;20(5):e0323657. doi: 10.1371/journal.pone.0323657. eCollection 2025.
3
Celiac disease and human gut microbiota - how can we study the composition of microorganisms?

本文引用的文献

1
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.使用QIIME 2进行可重复、交互式、可扩展和可延伸的微生物组数据科学研究。
Nat Biotechnol. 2019 Aug;37(8):852-857. doi: 10.1038/s41587-019-0209-9.
2
Application of next generation sequencing in clinical microbiology and infection prevention.下一代测序技术在临床微生物学与感染预防中的应用。
J Biotechnol. 2017 Feb 10;243:16-24. doi: 10.1016/j.jbiotec.2016.12.022. Epub 2016 Dec 29.
3
The developing hypopharyngeal microbiota in early life.早期生命中发育的咽下部微生物群。
乳糜泻与人类肠道微生物群——我们如何研究微生物的组成?
Prz Gastroenterol. 2025;20(1):17-30. doi: 10.5114/pg.2024.139574. Epub 2024 May 13.
4
Fecal microbiota landscape of commercial poultry farms in Faisalabad, Pakistan: A 16S rRNA gene-based metagenomics study.巴基斯坦费萨拉巴德商业家禽养殖场的粪便微生物群景观:一项基于16S rRNA基因的宏基因组学研究。
Poult Sci. 2025 Mar 23;104(6):105089. doi: 10.1016/j.psj.2025.105089.
5
Prevalence of pathogens associated with neonatal gastrointestinal infections: a systematic review and meta-analysis.与新生儿胃肠道感染相关的病原体的流行情况:一项系统综述和荟萃分析。
Gut Pathog. 2025 Mar 27;17(1):16. doi: 10.1186/s13099-025-00693-5.
6
Consequences of Domestication on Gut Microbiome: A Comparative Analysis Between Wild Boars and Domestic Pigs.驯化对肠道微生物群的影响:野猪与家猪的比较分析
Animals (Basel). 2025 Mar 5;15(5):747. doi: 10.3390/ani15050747.
7
Estropausal gut microbiota transplant improves measures of ovarian function in adult mice.围绝经期肠道微生物群移植可改善成年小鼠的卵巢功能指标。
bioRxiv. 2025 Feb 26:2024.05.03.592475. doi: 10.1101/2024.05.03.592475.
8
Culture-based characterization of gut microbiota in inflammatory bowel disease.基于培养的炎症性肠病肠道微生物群特征分析
Front Microbiol. 2025 Feb 20;16:1538620. doi: 10.3389/fmicb.2025.1538620. eCollection 2025.
9
Heart Failure and Gut Microbiota: What Is Cause and Effect?心力衰竭与肠道微生物群:何为因,何为果?
Research (Wash D C). 2025 Feb 20;8:0610. doi: 10.34133/research.0610. eCollection 2025.
10
Gut Microbiota Alterations in Patients With Kawasaki Disease.川崎病患者的肠道微生物群改变
Arterioscler Thromb Vasc Biol. 2025 Mar;45(3):345-358. doi: 10.1161/ATVBAHA.124.321201. Epub 2025 Jan 23.
Microbiome. 2016 Dec 30;4(1):70. doi: 10.1186/s40168-016-0215-9.
4
DADA2: High-resolution sample inference from Illumina amplicon data.DADA2:从Illumina扩增子数据进行高分辨率样本推断。
Nat Methods. 2016 Jul;13(7):581-3. doi: 10.1038/nmeth.3869. Epub 2016 May 23.
5
Diet and the development of the human intestinal microbiome.饮食与人类肠道微生物组的发展。
Front Microbiol. 2014 Sep 22;5:494. doi: 10.3389/fmicb.2014.00494. eCollection 2014.
6
Analysis of culture-dependent versus culture-independent techniques for identification of bacteria in clinically obtained bronchoalveolar lavage fluid.临床获取的支气管肺泡灌洗流体中细菌鉴定的基于培养与非培养技术的分析
J Clin Microbiol. 2014 Oct;52(10):3605-13. doi: 10.1128/JCM.01028-14. Epub 2014 Jul 30.
7
Strengths and limitations of 16S rRNA gene amplicon sequencing in revealing temporal microbial community dynamics.16S rRNA基因扩增子测序在揭示微生物群落动态变化方面的优势与局限
PLoS One. 2014 Apr 8;9(4):e93827. doi: 10.1371/journal.pone.0093827. eCollection 2014.
8
Establishment of intestinal microbiota during early life: a longitudinal, explorative study of a large cohort of Danish infants.早期生命中肠道微生物群的建立:对一大群丹麦婴儿的纵向探索性研究。
Appl Environ Microbiol. 2014 May;80(9):2889-900. doi: 10.1128/AEM.00342-14. Epub 2014 Feb 28.
9
Ribosomal Database Project: data and tools for high throughput rRNA analysis.核糖体数据库项目:高通量 rRNA 分析的数据和工具。
Nucleic Acids Res. 2014 Jan;42(Database issue):D633-42. doi: 10.1093/nar/gkt1244. Epub 2013 Nov 27.
10
Deep phenotyping of the unselected COPSAC2010 birth cohort study.对未经选择的 COPSAC2010 出生队列研究进行深度表型分析。
Clin Exp Allergy. 2013 Dec;43(12):1384-94. doi: 10.1111/cea.12213.