EBI Metagenomics - enabling the reconstruction of microbial populations
EBI Metagenomics - enabling the reconstruction of microbial populations
批准号:
BB/R015228/1
负责人:
Robert Finn
金额:
$113.62万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Microorganisms inhabit practically all environments on Earth. For example, there are more microbes in the ocean than stars in the known universe, with complex communities living in vastly different niches, from the tropics to the polar waters and from well-lit surface waters to the deep abyss. They harvest and transduce solar energy and is estimated that they contribute 50-90% to global primary production, turning light into biomass through photosynthesis, making them vital to the world's food chain. Microbes produce and consume most greenhouse gases (carbon dioxide, nitrous oxide and methane), which is of particular importance in relation to man-made climate change. They are also responsible for over half of all oxygen production on Earth. Within ecosystems, microbes catalyse the key bio-geochemical transformations of nutrients and trace elements that sustain organic productivity. Understanding these processes would bring many potential benefits. For example, working out the mechanisms by which microbes unlock organic phosphate to a soluble form that can be absorbed by plants could reduce the use of fertilizers and increase agricultural yields. Within each environment, the microbial population contains a vast and dynamic reservoir of genetic variability, much of which is yet to be studied. Current biological databases do not represent the vast majority of environmental organisms, as traditional genome sequencing approaches require isolation and culturing. Metagenomics, the sequencing of the entire collection of DNA found within an environmental sample, circumvents this need. As a result, we have begun to answer some of the key questions about which organisms are found in which environments. There has been a huge uptake of the approach across a broad range of disciplines. Nevertheless, the majority of metagenomics projects produced over the past decade have given only a fragmentary picture of underlying micro-organisms genomes, as larger volumes of sequencing are required to improve the level of genomic detail.In the era of data driven science, and with widespread access to sequencing technology and ever diminishing costs, huge volumes of sequence data present an amazing opportunity to understand the microbial world at a more detailed level. However, the field of metagenomics faces the following issues: 1) given the vast data volumes, specialist expert-built pipelines are required for efficient, high-throughput analysis; 2) bioinformatics analysis of results is costly to produce and requires expert knowledge; 3) to extract maximum knowledge from experiments, there is a need to systematically capture the associated experimental data along with the sequence data; 4) there is a lack of consistency between different analysis approaches, affecting comparability. The EBI Metagenomics (EMG) resource solves these issues by offering a free service for the analysis and archiving of all metagenomic data. With advances in algorithms and methods, it is now possible to piece together the fragments that make up an individual organism's genome. In this project, we will not only continue the provision of the EMG, but also develop the analysis, archiving, tools and data presentation frameworks required to generate genomes from metagenomes. Due to the unique position of EMG, we will be also able to combine data across different projects that contain similar microbial communities. This important data reuse will enable us to generate the highest quality genomes, allow us to detect different strains of bacteria and ensure that we capitalize on previous investments. Our genomes will enrich the current tree of life, and we will extend the EMG interfaces to accommodate the new data that we will produce. This will empower research and innovation in the environment, bioindustries, agriculture and medicine (human and livestock). We will work closely with biotechnological industries, to enable them to harness the huge potential for discovery.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1093/nar/gky1078
发表时间:
2019-01-08
期刊:
Nucleic acids research
影响因子:
14.9
作者:
[Harrison PW, Alako B, Amid C, Cerdeño-Tárraga A, Cleland I, Holt S, Hussein A, Jayathilaka S, Kay S, Keane T, Leinonen R, Liu X, Martínez-Villacorta J, Milano A, Pakseresht N, Rajan J, Reddy K, Richards E, Rosello M, Silvester N, Smirnov D, Toribio AL, Vijayaraja S, Cochrane G]
通讯作者:
Cochrane G
Corrigendum: Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea.
CRRIGENDUM:有关单个扩增基因组(Misag)和细菌和古细菌的元基因组组装基因组(MIMAG)的最低信息。
DOI:
10.1038/nbt0218-196a
发表时间:
2018-02-06
期刊:
Nature biotechnology
影响因子:
46.9
作者:
[Bowers RM, Kyrpides NC, Stepanauskas R, Harmon-Smith M, Doud D, Reddy TBK, Schulz F, Jarett J, Rivers AR, Eloe-Fadrosh EA, Tringe SG, Ivanova NN, Copeland A, Clum A, Becraft ED, Malmstrom RR, Birren B, Podar M, Bork P, Weinstock GM, Garrity GM, Dodsworth JA, Yooseph S, Sutton G, Glöckner FO, Gilbert JA, Nelson WC, Hallam SJ, Jungbluth SP, Ettema TJG, Tighe S, Konstantinidis KT, Liu WT, Baker BJ, Rattei T, Eisen JA, Hedlund B, McMahon KD, Fierer N, Knight R, Finn R, Cochrane G, Karsch-Mizrachi I, Tyson GW, Rinke C, Genome Standards Consortium, Lapidus A, Meyer F, Yilmaz P, Parks DH, Eren AM, Schriml L, Banfield JF, Hugenholtz P, Woyke T]
通讯作者:
Woyke T
DOI:
10.1038/s41587-020-0603-3
发表时间:
2021-01
期刊:
Nature biotechnology
影响因子:
46.9
作者:
[Almeida A, Nayfach S, Boland M, Strozzi F, Beracochea M, Shi ZJ, Pollard KS, Sakharova E, Parks DH, Hugenholtz P, Segata N, Kyrpides NC, Finn RD]
通讯作者:
Finn RD
DOI:
10.1093/nar/gkac1051
发表时间:
2023-01-06
期刊:
NUCLEIC ACIDS RESEARCH
影响因子:
14.9
作者:
[Burgin, Josephine, Ahamed, Alisha, Cummins, Carla, Devraj, Rajkumar, Gueye, Khadim, Gupta, Dipayan, Gupta, Vikas, Haseeb, Muhammad, Ihsan, Maira, Ivanov, Eugene, Jayathilaka, Suran, Kadhirvelu, Vishnukumar Balavenkataraman, Kumar, Manish, Lathi, Ankur, Leinonen, Rasko, Mansurova, Milena, McKinnon, Jasmine, O'Cathail, Colman, Pauperio, Joana, Pesant, Stephane, Rahman, Nadim, Rinck, Gabriele, Selvakumar, Sandeep, Suman, Swati, Vijayaraja, Senthilnathan, Waheed, Zahra, Woollard, Peter, Yuan, David, Zyoud, Ahmad, Burdett, Tony, Cochrane, Guy]
通讯作者:
Cochrane, Guy
DOI:
10.1093/nar/gkaa1028
发表时间:
2021-01-08
期刊:
Nucleic acids research
影响因子:
14.9
作者:
[Harrison PW, Ahamed A, Aslam R, Alako BTF, Burgin J, Buso N, Courtot M, Fan J, Gupta D, Haseeb M, Holt S, Ibrahim T, Ivanov E, Jayathilaka S, Balavenkataraman Kadhirvelu V, Kumar M, Lopez R, Kay S, Leinonen R, Liu X, O'Cathail C, Pakseresht A, Park Y, Pesant S, Rahman N, Rajan J, Sokolov A, Vijayaraja S, Waheed Z, Zyoud A, Burdett T, Cochrane G]
通讯作者:
Cochrane G
共 7 条
Enriching MGnify Genomes to capture the full spectrum of the microbiota and bolster taxonomic classifications
-
批准号:BB/V01868X/1
-
项目类别:Research Grant
-
资助金额:$118.4万
-
财政年份:2022
-
负责人:Robert Finn
-
依托单位:
2020BBSRC-NSF/BIO: REDEFINE - Development of efficient, large-scale metagenomics sequence comparison algorithms to facilitate novel genomic insights
-
批准号:BB/W002965/1
-
项目类别:Research Grant
-
资助金额:$63.57万
-
财政年份:2022
-
负责人:Robert Finn
-
依托单位:
SENSE - Screening of ENvironmental SEquences to discover novel protein functions using informatics target selection and high-throughput validation
-
批准号:BB/T000902/1
-
项目类别:Research Grant
-
资助金额:$27.61万
-
财政年份:2020
-
负责人:Robert Finn
-
依托单位:
EMERALD - Enriching MEtagenomics Results using Artificial intelligence and Literature Data
-
批准号:BB/S009043/1
-
项目类别:Research Grant
-
资助金额:$77.25万
-
财政年份:2019
-
负责人:Robert Finn
-
依托单位:
Bilateral NSF/BIO-BBSRC:A Metagenomics Exchange - enriching analysis by synergistic harmonisation of MG-RAST and the EBI Metagenomics Portal
-
批准号:BB/N018354/1
-
项目类别:Research Grant
-
资助金额:$104.13万
-
财政年份:2017
-
负责人:Robert Finn
-
依托单位:
Expanding Genome3D and disseminating the structural annotations via InterPro and PDBe
-
批准号:BB/N019172/1
-
项目类别:Research Grant
-
资助金额:$39.2万
-
财政年份:2016
-
负责人:Robert Finn
-
依托单位:
14 NSFBIO:Towards detailed and consistent function prediction from protein family databases
-
批准号:BB/N00521X/1
-
项目类别:Research Grant
-
资助金额:$58.0万
-
财政年份:2015
-
负责人:Robert Finn
-
依托单位:
EBI Metagenomics Portal - Towards a better understanding of community metabolism
-
批准号:BB/M011755/1
-
项目类别:Research Grant
-
资助金额:$82.32万
-
财政年份:2015
-
负责人:Robert Finn
-
依托单位:
Collaborative Research: Capillary Interfaces
-
批准号:0103954
-
项目类别:Standard Grant
-
资助金额:$11.9万
-
财政年份:2001
-
负责人:Robert Finn
-
依托单位:
Proposal for Exploratory Research
-
批准号:9729817
-
项目类别:Standard Grant
-
资助金额:$7.0万
-
财政年份:1997
-
负责人:Robert Finn
-
依托单位:
Mathematical Sciences: Classical and Applied Analysis
-
批准号:9400778
-
项目类别:Continuing Grant
-
资助金额:$2.0万
-
财政年份:1994
-
负责人:Robert Finn
-
依托单位:
Mathematical Sciences: Classical and Applied Analysis
-
批准号:9106968
-
项目类别:Continuing Grant
-
资助金额:$12.3万
-
财政年份:1991
-
负责人:Robert Finn
-
依托单位:
Mathematical Sciences: Classical and Applied Analysis
-
批准号:8902831
-
项目类别:Continuing Grant
-
资助金额:$7.45万
-
财政年份:1989
-
负责人:Robert Finn
-
依托单位:
Mathematical Sciences: Classical and Applied Analysis
-
批准号:8603631
-
项目类别:Continuing Grant
-
资助金额:$16.82万
-
财政年份:1986
-
负责人:Robert Finn
-
依托单位:
Mathematical Sciences: International Conference on Variational Methods for Free Surface Interfaces
-
批准号:8416414
-
项目类别:Standard Grant
-
资助金额:$3.0万
-
财政年份:1985
-
负责人:Robert Finn
-
依托单位:
Mathematical Sciences: Nonlinear Partial Differential Equations and Capillarity Theory
-
批准号:8307826
-
项目类别:Continuing Grant
-
资助金额:$11.96万
-
财政年份:1983
-
负责人:Robert Finn
-
依托单位:
Travel to Attend: 1st European Congress on Biotechnology; Interlaken, Switzerland; September 25 - 29,1978
-
批准号:7821903
-
项目类别:Standard Grant
-
资助金额:$0.09万
-
财政年份:1978
-
负责人:Robert Finn
-
依托单位:
海外基金