• 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

全基因组 shotgun 测序研究简介。

An Introduction to Whole-Metagenome Shotgun Sequencing Studies.

机构信息

Department of Computer Science, Fu Foundation School of Engineering & Applied Science, Columbia University, New York, NY, USA.

出版信息

Methods Mol Biol. 2021;2243:107-122. doi: 10.1007/978-1-0716-1103-6_6.

DOI:10.1007/978-1-0716-1103-6_6
PMID:33606255
Abstract

Microbial communities are found across diverse environments, including within and across the human body. As many microbes are unculturable in the lab, much of what is known about a microbiome-a collection of bacteria, fungi, archaea, and viruses inhabiting an environment--is from the sequencing of DNA from within the constituent community. Here, we provide an introduction to whole-metagenome shotgun sequencing studies, a ubiquitous approach for characterizing microbial communities, by reviewing three major research areas in metagenomics: assembly, community profiling, and functional profiling. Though not exhaustive, these areas encompass a large component of the metagenomics literature. We discuss each area in depth, the challenges posed by whole-metagenome shotgun sequencing, and approaches fundamental to the solutions of each. We conclude by discussing promising areas for future research. Though our emphasis is on the human microbiome, the methods discussed are broadly applicable across study systems.

摘要

微生物群落存在于各种环境中,包括人体内部和外部。由于许多微生物在实验室中无法培养,因此人们对微生物组(居住在特定环境中的细菌、真菌、古菌和病毒的集合)的了解主要来自于对组成群落的 DNA 进行测序。在这里,我们通过综述宏基因组学的三个主要研究领域——组装、群落分析和功能分析,对全基因组鸟枪法测序研究进行了介绍,该方法是一种用于描述微生物群落的普遍方法。尽管不详尽,但这些领域涵盖了宏基因组学文献的很大一部分。我们深入讨论了每个领域、全基因组鸟枪法测序所带来的挑战,以及解决每个问题的基本方法。最后,我们讨论了未来研究的有前景的领域。尽管我们的重点是人体微生物组,但讨论的方法在广泛的研究系统中都具有广泛的适用性。

相似文献

1
An Introduction to Whole-Metagenome Shotgun Sequencing Studies.全基因组 shotgun 测序研究简介。
Methods Mol Biol. 2021;2243:107-122. doi: 10.1007/978-1-0716-1103-6_6.
2
Microbial community analysis using high-throughput sequencing technology: a beginner's guide for microbiologists.使用高通量测序技术进行微生物群落分析:微生物学家的入门指南。
J Microbiol. 2020 Mar;58(3):176-192. doi: 10.1007/s12275-020-9525-5. Epub 2020 Feb 27.
3
Species classifier choice is a key consideration when analysing low-complexity food microbiome data.在分析低复杂度食品微生物组数据时,物种分类器的选择是一个关键考虑因素。
Microbiome. 2018 Mar 20;6(1):50. doi: 10.1186/s40168-018-0437-0.
4
Details Matter: Designing Skin Microbiome Studies.细节至关重要:设计皮肤微生物组研究。
J Invest Dermatol. 2016 May;136(5):900-902. doi: 10.1016/j.jid.2016.03.004.
5
High throughput sequencing methods for microbiome profiling: application to food animal systems.高通量测序方法在微生物组分析中的应用:在食品动物系统中的应用。
Anim Health Res Rev. 2012 Jun;13(1):40-53. doi: 10.1017/S1466252312000126.
6
A comprehensive investigation of metagenome assembly by linked-read sequencing.基于链接读取测序的宏基因组组装综合研究。
Microbiome. 2020 Nov 11;8(1):156. doi: 10.1186/s40168-020-00929-3.
7
Decomposing a San Francisco estuary microbiome using long-read metagenomics reveals species- and strain-level dominance from picoeukaryotes to viruses.利用长读长宏基因组学分解旧金山河口微生物组,揭示了从微微型真核生物到病毒的种属和菌株水平的优势。
mSystems. 2024 Sep 17;9(9):e0024224. doi: 10.1128/msystems.00242-24. Epub 2024 Aug 19.
8
Metagenomics methods for the study of plant-associated microbial communities: A review.宏基因组学方法在植物相关微生物群落研究中的应用:综述。
J Microbiol Methods. 2020 Mar;170:105860. doi: 10.1016/j.mimet.2020.105860. Epub 2020 Feb 4.
9
Analysis of the microbiome: Advantages of whole genome shotgun versus 16S amplicon sequencing.微生物组分析:全基因组鸟枪法测序与16S扩增子测序的优势
Biochem Biophys Res Commun. 2016 Jan 22;469(4):967-77. doi: 10.1016/j.bbrc.2015.12.083. Epub 2015 Dec 22.
10
Profiling microbial strains in urban environments using metagenomic sequencing data.利用宏基因组测序数据对城市环境中的微生物菌株进行分析。
Biol Direct. 2018 May 9;13(1):9. doi: 10.1186/s13062-018-0211-z.

引用本文的文献

1
Bioinformatic Methodologies in Assessing Gut Microbiota.评估肠道微生物群的生物信息学方法
Microbiol Res (Pavia). 2024 Dec;15(4):2554-2574. doi: 10.3390/microbiolres15040170. Epub 2024 Dec 3.
2
Strategies Used for the Discovery of New Microbial Metabolites with Antibiotic Activity.用于发现具有抗生素活性的新型微生物代谢产物的策略。
Molecules. 2025 Jul 6;30(13):2868. doi: 10.3390/molecules30132868.
3
Tracing non-fungal eukaryotic diversity via shotgun metagenomes in the complex mudflat intertidal zones.通过鸟枪法宏基因组学追踪复杂泥滩潮间带中的非真菌真核生物多样性。

本文引用的文献

1
Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases.炎症性肠病中的肠道微生物生态系统的多组学研究。
Nature. 2019 May;569(7758):655-662. doi: 10.1038/s41586-019-1237-9. Epub 2019 May 29.
2
Structural variation in the gut microbiome associates with host health.肠道微生物组的结构变异与宿主健康有关。
Nature. 2019 Apr;568(7750):43-48. doi: 10.1038/s41586-019-1065-y. Epub 2019 Mar 27.
3
Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle.
mSystems. 2025 Jul 22;10(7):e0041325. doi: 10.1128/msystems.00413-25. Epub 2025 Jun 12.
4
Metagenomic characterization of bacterial abundance and diversity in potato cyst nematode suppressive and conducive potato rhizosphere.马铃薯孢囊线虫抑制性和感病性马铃薯根际细菌丰度及多样性的宏基因组特征分析
PLoS One. 2025 May 9;20(5):e0323382. doi: 10.1371/journal.pone.0323382. eCollection 2025.
5
Unravelling the Gut-Tumor Axis in Neuroblastoma: Promising Leads and Cautionary Gaps.解析神经母细胞瘤中的肠道-肿瘤轴:有前景的线索与警示性差距
Indian J Pediatr. 2025 May 7. doi: 10.1007/s12098-025-05556-0.
6
Intratumoral microbiota for hepatocellular carcinoma: from preclinical mechanisms to clinical cancer treatment.肝细胞癌的瘤内微生物群:从临床前机制到临床癌症治疗
Cancer Cell Int. 2025 Apr 17;25(1):152. doi: 10.1186/s12935-025-03745-7.
7
Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects.用于鉴定和表征作物性状中生物元件的整合多组学方法:当前进展与未来展望
Int J Mol Sci. 2025 Feb 10;26(4):1466. doi: 10.3390/ijms26041466.
8
Cross-domain microbiomes: the interaction of gut, lung and environmental microbiota in asthma pathogenesis.跨域微生物群:肠道、肺部和环境微生物群在哮喘发病机制中的相互作用
Front Nutr. 2024 Jun 21;11:1346923. doi: 10.3389/fnut.2024.1346923. eCollection 2024.
9
Comparative microbiome analysis in cystic fibrosis and non-cystic fibrosis bronchiectasis.囊性纤维化和非囊性纤维化支气管扩张症的比较微生物组分析。
Respir Res. 2024 May 18;25(1):211. doi: 10.1186/s12931-024-02835-w.
10
Mock community taxonomic classification performance of publicly available shotgun metagenomics pipelines.模拟公开可用的高通量宏基因组学分析流程的群落分类性能。
Sci Data. 2024 Jan 17;11(1):81. doi: 10.1038/s41597-023-02877-7.
从来自不同年龄、地理和生活方式的宏基因组中超过 15 万条基因组揭示了广泛未被探索的人类微生物组多样性。
Cell. 2019 Jan 24;176(3):649-662.e20. doi: 10.1016/j.cell.2019.01.001. Epub 2019 Jan 17.
4
Species-level functional profiling of metagenomes and metatranscriptomes.宏基因组和宏转录组的物种水平功能分析。
Nat Methods. 2018 Nov;15(11):962-968. doi: 10.1038/s41592-018-0176-y. Epub 2018 Oct 30.
5
The Gut Microbiota Mediates the Anti-Seizure Effects of the Ketogenic Diet.肠道微生物群介导生酮饮食的抗癫痫作用。
Cell. 2018 Jun 14;173(7):1728-1741.e13. doi: 10.1016/j.cell.2018.04.027. Epub 2018 May 24.
6
Microbiome Datasets Are Compositional: And This Is Not Optional.微生物组数据集具有构成性:这并非可有可无。
Front Microbiol. 2017 Nov 15;8:2224. doi: 10.3389/fmicb.2017.02224. eCollection 2017.
7
Critical Assessment of Metagenome Interpretation-a benchmark of metagenomics software.宏基因组解读的批判性评估——宏基因组学软件的一项基准测试
Nat Methods. 2017 Nov;14(11):1063-1071. doi: 10.1038/nmeth.4458. Epub 2017 Oct 2.
8
Strains, functions and dynamics in the expanded Human Microbiome Project.扩展的人类微生物组计划中的菌株、功能与动态
Nature. 2017 Oct 5;550(7674):61-66. doi: 10.1038/nature23889. Epub 2017 Sep 20.
9
Shotgun metagenomics, from sampling to analysis. shotgun 宏基因组学,从采样到分析。
Nat Biotechnol. 2017 Sep 12;35(9):833-844. doi: 10.1038/nbt.3935.
10
metaSPAdes: a new versatile metagenomic assembler.metaSPAdes:一种新型通用宏基因组序列拼接软件
Genome Res. 2017 May;27(5):824-834. doi: 10.1101/gr.213959.116. Epub 2017 Mar 15.