Metagenomics as a new technological tool to gain scientific knowledge

被引:23
作者
Guazzaroni, Maria-Eugenia [1 ]
Beloqui, Ana [1 ]
Golyshin, Peter N. [2 ,3 ,4 ]
Ferrer, Manuel [1 ]
机构
[1] CSIC, Inst Catalysis, Madrid 28049, Spain
[2] Bangor Univ, Sch Biol Sci, Bangor LL57 2UW, Gwynedd, Wales
[3] Bangor Univ Partnership, Aberystwyth Univ, Ctr Integrated Res Rural Environm, D-38124 Braunschweig, Germany
[4] HZI Helmholtz Ctr Infect Res, Environm Microbiol Lab, D-38124 Braunschweig, Germany
关键词
Metagenomics; Microbial diversity; Systems microbiology; METABOLIC NETWORKS; COMMUNITY; DIVERSITY; MICROBES; GENOMICS; BACTERIA; INSIGHTS; ARCHAEA; RARE;
D O I
10.1007/s11274-009-9971-z
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Metagenomics (also Environmental Genomics, Ecogenomics or Community Genomics) is an emerging approach to studying microbial communities in the environment. This relatively new technique enables studies of organisms that are not easily cultured in a laboratory, thus differing from traditional microbiology that relies almost entirely on cultured organisms. Metagenomics technology thus holds the premise of new depths of understanding of microbes and, importantly, is a new tool for addressing biotechnological problems, without tedious cultivation efforts. DNA sequencing technology has already made a significant breakthrough, and generation of gigabase-pairs of microbial DNA sequences is not posing a challenge any longer. However, conceptual advances in microbial science will not only rely on the availability of innovative sequencing platforms, but also on sequence-independent tools for getting an insight into the functioning of microbial communities. This is an important issue, as we know that even the best annotations of genomes and metagenomes only create hypotheses of the functionality and substrate spectra of encoded proteins which require experimental testing by classical disciplines such as physiology and biochemistry. In this review, we address the following question, how to take advantage of, and how can we improve the, metagenomic technology for accommodating the needs of microbial biologists and enzymologists?.
引用
收藏
页码:945 / 954
页数:10
相关论文
共 70 条
[1]   The marine viromes of four oceanic regions [J].
Angly, Florent E. ;
Felts, Ben ;
Breitbart, Mya ;
Salamon, Peter ;
Edwards, Robert A. ;
Carlson, Craig ;
Chan, Amy M. ;
Haynes, Matthew ;
Kelley, Scott ;
Liu, Hong ;
Mahaffy, Joseph M. ;
Mueller, Jennifer E. ;
Nulton, Jim ;
Olson, Robert ;
Parsons, Rachel ;
Rayhawk, Steve ;
Suttle, Curtis A. ;
Rohwer, Forest .
PLOS BIOLOGY, 2006, 4 (11) :2121-2131
[2]   Soil eukaryotic functional diversity, a metatranscriptomic approach [J].
Bailly, Julie ;
Fraissinet-Tachet, Laurence ;
Verner, Marie-Christine ;
Debaud, Jean-Claude ;
Lemaire, Marc ;
Wesolowski-Louvel, Micheline ;
Marmeisse, Roland .
ISME JOURNAL, 2007, 1 (07) :632-642
[3]   Recent trends in industrial microbiology [J].
Beloqui, Ana ;
de Maria, Pablo Dominguez ;
Golyshin, Peter N. ;
Ferrer, Manuel .
CURRENT OPINION IN MICROBIOLOGY, 2008, 11 (03) :240-248
[4]   Metagenomic characterization of Chesapeake bay virioplankton [J].
Bench, Shellie R. ;
Hanson, Thomas E. ;
Williamson, Kurt E. ;
Ghosh, Dhritiman ;
Radosovich, Mark ;
Wang, Kui ;
Wommack, K. Eric .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2007, 73 (23) :7629-7641
[5]   Functional metaproteome analysis of protein extracts from contaminated soil and groundwater [J].
Benndorf, Dirk ;
Balcke, Gerd U. ;
Harms, Hauke ;
von Bergen, Martin .
ISME JOURNAL, 2007, 1 (03) :224-234
[6]   Whole-genome re-sequencing [J].
Bentley, David R. .
CURRENT OPINION IN GENETICS & DEVELOPMENT, 2006, 16 (06) :545-552
[7]   Metagenomic signatures of the Peru Margin subseafloor biosphere show a genetically distinct environment [J].
Biddle, Jennifer F. ;
Fitz-Gibbon, Sorel ;
Schuster, Stephan C. ;
Brenchley, Jean E. ;
House, Christopher H. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (30) :10583-10588
[8]   mRNA-based parallel detection of active methanotroph populations by use of a diagnostic microarray [J].
Bodrossy, L ;
Stralis-Pavese, N ;
Konrad-Köszler, M ;
Weilharter, A ;
Reichenauer, TG ;
Schöfer, D ;
Sessitsch, A .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2006, 72 (02) :1672-1676
[9]   Integration of metabolome data with metabolic networks reveals reporter reactions [J].
Cakir, Tunahan ;
Patil, Kiran Raosaheb ;
Onsan, Zeynep ILsen ;
Ulgen, Kutlu Ozergin ;
Kirdar, Betul ;
Nielsen, Jens .
MOLECULAR SYSTEMS BIOLOGY, 2006, 2 (1)
[10]   Using growing self-organising maps to improve the binning process in environmental whole-genome shotgun sequencing [J].
Chan, Chon-Kit Kenneth ;
Hsu, Arthur L. ;
Tang, Sen-Lin ;
Halgamuge, Saman K. .
JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2008,