Literature DB >> 19054115

Metagenomics approaches in systems microbiology.

José M Vieites1, María-Eugenia Guazzaroni, Ana Beloqui, Peter N Golyshin, Manuel Ferrer.   

Abstract

The world of microorganisms comprises a vast diversity of live organisms, each with its individual set of genes, cellular components and metabolic reactions that interact within the cell and communicate with the environment in many different ways. There is a strong imperative to gain a broader view of the wired and interconnected cellular and environmental processes as a whole via the systems microbiology approach in order to understand and predict ecosystem functioning. On the other hand, currently we experience a rise of metagenomics as an emerging tool to study communities of uncultured microorganisms. In this review, we conducted a survey of important methodologies in metagenomics and describe systems microbiology-like approaches for gaining a mechanistic understanding of complex microbial systems to interrogate compositional, evolutionary and metabolic properties. The review also discusses how metagenomics can be used as a holistic indicator for ecosystem response in terms of matter, nutrient and energy sources and functional networking.

Mesh:

Year:  2008        PMID: 19054115     DOI: 10.1111/j.1574-6976.2008.00152.x

Source DB:  PubMed          Journal:  FEMS Microbiol Rev        ISSN: 0168-6445            Impact factor:   16.408


  33 in total

1.  Central role of the cell in microbial ecology.

Authors:  Karsten Zengler
Journal:  Microbiol Mol Biol Rev       Date:  2009-12       Impact factor: 11.056

2.  Diversity of glycosyl hydrolases from cellulose-depleting communities enriched from casts of two earthworm species.

Authors:  Ana Beloqui; Taras Y Nechitaylo; Nieves López-Cortés; Azam Ghazi; María-Eugenia Guazzaroni; Julio Polaina; Axel W Strittmatter; Oleg Reva; Agnes Waliczek; Michail M Yakimov; Olga V Golyshina; Manuel Ferrer; Peter N Golyshin
Journal:  Appl Environ Microbiol       Date:  2010-07-09       Impact factor: 4.792

3.  Microbial Communities as Experimental Units.

Authors:  Mitch D Day; Daniel Beck; James A Foster
Journal:  Bioscience       Date:  2011-05       Impact factor: 8.589

Review 4.  Stable isotope probing in the metagenomics era: a bridge towards improved bioremediation.

Authors:  Ondrej Uhlik; Mary-Cathrine Leewis; Michal Strejcek; Lucie Musilova; Martina Mackova; Mary Beth Leigh; Tomas Macek
Journal:  Biotechnol Adv       Date:  2012-09-26       Impact factor: 14.227

5.  A pyrosequencing-based analysis of microbial diversity governed by ecological conditions in the Winogradsky column.

Authors:  Firouz Abbasian; Robin Lockington; Megharaj Mallavarapu; Ravi Naidu
Journal:  World J Microbiol Biotechnol       Date:  2015-05-07       Impact factor: 3.312

6.  PCR detection of uncultured rumen bacteria.

Authors:  Jaime A Rosero; Lenka Strosová; Jakub Mrázek; Kateřina Fliegerová; Jan Kopečný
Journal:  Folia Microbiol (Praha)       Date:  2012-04-14       Impact factor: 2.099

7.  Genome-wide mutational diversity in an evolving population of Escherichia coli.

Authors:  J E Barrick; R E Lenski
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2009-09-23

8.  Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray development.

Authors:  Sébastien Terrat; Eric Peyretaillade; Olivier Gonçalves; Eric Dugat-Bony; Fabrice Gravelat; Anne Moné; Corinne Biderre-Petit; Delphine Boucher; Julien Troquet; Pierre Peyret
Journal:  BMC Bioinformatics       Date:  2010-09-23       Impact factor: 3.169

Review 9.  Applications of genome-scale metabolic reconstructions.

Authors:  Matthew A Oberhardt; Bernhard Ø Palsson; Jason A Papin
Journal:  Mol Syst Biol       Date:  2009-11-03       Impact factor: 11.429

10.  A culture-independent approach to unravel uncultured bacteria and functional genes in a complex microbial community.

Authors:  Yun Wang; Yin Chen; Qian Zhou; Shi Huang; Kang Ning; Jian Xu; Robert M Kalin; Stephen Rolfe; Wei E Huang
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

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