• 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

基于 NGS 的宏基因组学的生物信息学及其在沼气研究中的应用。

Bioinformatics for NGS-based metagenomics and the application to biogas research.

机构信息

Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany; Faculty of Technology, Bielefeld University, Bielefeld, Germany.

Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.

出版信息

J Biotechnol. 2017 Nov 10;261:10-23. doi: 10.1016/j.jbiotec.2017.08.012. Epub 2017 Aug 18.

DOI:10.1016/j.jbiotec.2017.08.012
PMID:28823476
Abstract

Metagenomics has proven to be one of the most important research fields for microbial ecology during the last decade. Starting from 16S rRNA marker gene analysis for the characterization of community compositions to whole metagenome shotgun sequencing which additionally allows for functional analysis, metagenomics has been applied in a wide spectrum of research areas. The cost reduction paired with the increase in the amount of data due to the advent of next-generation sequencing led to a rapidly growing demand for bioinformatic software in metagenomics. By now, a large number of tools that can be used to analyze metagenomic datasets has been developed. The Bielefeld-Gießen center for microbial bioinformatics as part of the German Network for Bioinformatics Infrastructure bundles and imparts expert knowledge in the analysis of metagenomic datasets, especially in research on microbial communities involved in anaerobic digestion residing in biogas reactors. In this review, we give an overview of the field of metagenomics, introduce into important bioinformatic tools and possible workflows, accompanied by application examples of biogas surveys successfully conducted at the Center for Biotechnology of Bielefeld University.

摘要

在过去的十年中,宏基因组学已被证明是微生物生态学领域最重要的研究领域之一。从用于描述群落组成的 16S rRNA 标记基因分析,到可以进行功能分析的全宏基因组鸟枪法测序,宏基因组学已广泛应用于多个研究领域。由于新一代测序技术的出现,成本降低,数据量增加,这导致了宏基因组学领域对生物信息学软件的需求迅速增长。到目前为止,已经开发出了大量可用于分析宏基因组数据集的工具。比勒费尔德-吉森微生物生物信息学中心作为德国生物信息学基础设施网络的一部分,在分析宏基因组数据集方面,特别是在研究位于沼气反应器中的参与厌氧消化的微生物群落方面,汇集并传授专业知识。在这篇综述中,我们概述了宏基因组学领域,介绍了重要的生物信息学工具和可能的工作流程,并附有在比勒费尔德大学生物技术中心成功进行的沼气调查的应用实例。

相似文献

1
Bioinformatics for NGS-based metagenomics and the application to biogas research.基于 NGS 的宏基因组学的生物信息学及其在沼气研究中的应用。
J Biotechnol. 2017 Nov 10;261:10-23. doi: 10.1016/j.jbiotec.2017.08.012. Epub 2017 Aug 18.
2
[A review on the bioinformatics pipelines for metagenomic research].[宏基因组学研究的生物信息学流程综述]
Dongwuxue Yanjiu. 2012 Dec;33(6):574-85. doi: 10.3724/SP.J.1141.2012.06574.
3
A bioinformatics pipeline integrating predictive metagenomics profiling for the analysis of 16S rDNA/rRNA sequencing data originated from foods.一个整合了预测宏基因组分析的生物信息学流程,用于分析源自食品的 16S rDNA/rRNA 测序数据。
Food Microbiol. 2018 Dec;76:279-286. doi: 10.1016/j.fm.2018.05.009. Epub 2018 May 24.
4
Practical considerations for sampling and data analysis in contemporary metagenomics-based environmental studies.当代基于宏基因组学的环境研究中采样与数据分析的实际考量
J Microbiol Methods. 2018 Nov;154:14-18. doi: 10.1016/j.mimet.2018.09.020. Epub 2018 Oct 1.
5
Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data.Tax4Fun:从宏基因组16S rRNA数据预测功能概况。
Bioinformatics. 2015 Sep 1;31(17):2882-4. doi: 10.1093/bioinformatics/btv287. Epub 2015 May 7.
6
MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.MG-RAST,一种用于分析微生物群落结构和功能的宏基因组学服务。
Methods Mol Biol. 2016;1399:207-33. doi: 10.1007/978-1-4939-3369-3_13.
7
Metagenome changes in the biogas producing community during anaerobic digestion of rice straw.沼气发酵过程中水稻秸秆厌氧消化中产甲烷菌群的宏基因组变化。
Bioresour Technol. 2016 Aug;213:50-53. doi: 10.1016/j.biortech.2016.03.045. Epub 2016 Mar 12.
8
MetaSAMS--a novel software platform for taxonomic classification, functional annotation and comparative analysis of metagenome datasets.MetaSAMS——一个用于宏基因组数据集的分类学分类、功能注释和比较分析的新型软件平台。
J Biotechnol. 2013 Aug 20;167(2):156-65. doi: 10.1016/j.jbiotec.2012.09.013. Epub 2012 Sep 29.
9
Web Resources for Metagenomics Studies.宏基因组学研究的网络资源
Genomics Proteomics Bioinformatics. 2015 Oct;13(5):296-303. doi: 10.1016/j.gpb.2015.10.003. Epub 2015 Nov 18.
10
High throughput sequencing methods and analysis for microbiome research.高通量测序方法及其在微生物组研究中的分析。
J Microbiol Methods. 2013 Dec;95(3):401-14. doi: 10.1016/j.mimet.2013.08.011. Epub 2013 Sep 9.

引用本文的文献

1
Comparative evaluation of sequencing technologies and primer sets for mouse gut microbiota profiling.用于小鼠肠道微生物群分析的测序技术和引物组的比较评估
Front Microbiol. 2025 May 20;16:1584359. doi: 10.3389/fmicb.2025.1584359. eCollection 2025.
2
Depth heterogeneity of lignin-degrading microbiome and organic carbon processing in mangrove sediments.红树林沉积物中木质素降解微生物群落的深度异质性与有机碳处理
NPJ Biofilms Microbiomes. 2025 Jan 6;11(1):5. doi: 10.1038/s41522-024-00638-x.
3
Identification of Biomarkers Associated With Paget's Disease of Bone and Bone Metastasis From Breast Cancer Patients.
鉴定与乳腺癌患者的佩吉特病及骨转移相关的生物标志物。
Cancer Rep (Hoboken). 2024 Sep;7(9):e70003. doi: 10.1002/cnr2.70003.
4
Microbiome modeling: a beginner's guide.微生物组建模:初学者指南。
Front Microbiol. 2024 Jun 19;15:1368377. doi: 10.3389/fmicb.2024.1368377. eCollection 2024.
5
Current status and future developments of assessing microbiome composition and dynamics in anaerobic digestion systems using metagenomic approaches.使用宏基因组学方法评估厌氧消化系统中微生物群落组成和动态变化的现状与未来发展
Heliyon. 2024 Mar 20;10(6):e28221. doi: 10.1016/j.heliyon.2024.e28221. eCollection 2024 Mar 30.
6
The rise of big data: deep sequencing-driven computational methods are transforming the landscape of synthetic antibody design.大数据的兴起:深度测序驱动的计算方法正在改变合成抗体设计的格局。
J Biomed Sci. 2024 Mar 16;31(1):29. doi: 10.1186/s12929-024-01018-5.
7
Yeast metagenomics: analytical challenges in the analysis of the eukaryotic microbiome.酵母宏基因组学:真核生物微生物组分析中的分析挑战。
Microbiome Res Rep. 2023 Oct 23;3(1):2. doi: 10.20517/mrr.2023.27. eCollection 2024.
8
Revolutionizing Synthetic Antibody Design: Harnessing Artificial Intelligence and Deep Sequencing Big Data for Unprecedented Advances.变革合成抗体设计:利用人工智能和深度测序大数据实现前所未有的进展。
Mol Biotechnol. 2025 Feb;67(2):410-424. doi: 10.1007/s12033-024-01064-2. Epub 2024 Feb 3.
9
Uncovering Microbiome Adaptations in a Full-Scale Biogas Plant: Insights from MAG-Centric Metagenomics and Metaproteomics.揭示全规模沼气厂中的微生物组适应性:以宏基因组和宏蛋白质组为中心的见解
Microorganisms. 2023 Sep 27;11(10):2412. doi: 10.3390/microorganisms11102412.
10
Next-generation -omics approaches to drive carboxylate production by acidogenic fermentation of food waste: a review.下一代组学方法推动食品废物的产酸发酵生产羧酸盐:综述。
Bioengineered. 2022 Jul-Dec;13(7-12):14987-15002. doi: 10.1080/21655979.2023.2180583.