Literature DB >> 25216965

Technical challenges in metatranscriptomic studies applied to the bacterial communities of freshwater ecosystems.

Noémie Pascault1, Valentin Loux, Sandra Derozier, Véronique Martin, Didier Debroas, Selma Maloufi, Jean-François Humbert, Julie Leloup.   

Abstract

Metatranscriptome analysis relates to the transcriptome of microbial communities directly sampled in the environment. Accessing the mRNA pool in natural bacterial communities presents some technical challenges such as the RNA extraction, rRNA depletion, and the choice of the high-throughput sequencing technique. The lack of technical details in scientific articles is a major problem to correctly obtained mRNA from a microbial community and thus the corresponding sequencing data. In our study, we present the methodological procedure that was developed in order to access to the metatranscriptome of the microbial communities during two cyanobacterial blooms successively occurring in a freshwater eutrophic lake. Each procedure step was detailed and discussed with regard to the choices and difficulties encountered and to the recent literature. Finally, the two major limits for metatranscriptomic approaches targeting bacterial communities from natural environments were (i) the removal of rRNA in order to increase the putative mRNA reads number after sequencing, and (ii) for most of the bacterial communities living in natural environments, the lack of reference genomes in databases that leads to the non-assignation of numerous reads. Once these challenges overcome, we managed to access putative mRNA of dominant species, i.e. cyanobacteria (from 6 to 72 % of mRNA assigned), and of the surrounding bacteria (from 1 to 5 % of mRNA assigned).

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Year:  2014        PMID: 25216965     DOI: 10.1007/s10709-014-9783-4

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  31 in total

1.  Quantitative analysis of a deeply sequenced marine microbial metatranscriptome.

Authors:  Scott M Gifford; Shalabh Sharma; Johanna M Rinta-Kanto; Mary Ann Moran
Journal:  ISME J       Date:  2010-09-16       Impact factor: 10.302

2.  Spatial patterns and light-driven variation of microbial population gene expression in surface waters of the oligotrophic open ocean.

Authors:  Ian Hewson; Rachel S Poretsky; H James Tripp; Joseph P Montoya; Jonathan P Zehr
Journal:  Environ Microbiol       Date:  2010-04-14       Impact factor: 5.491

3.  Microbial community gene expression in ocean surface waters.

Authors:  Jorge Frias-Lopez; Yanmei Shi; Gene W Tyson; Maureen L Coleman; Stephan C Schuster; Sallie W Chisholm; Edward F Delong
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-03       Impact factor: 11.205

4.  Preparation of microbial community cDNA for metatranscriptomic analysis in marine plankton.

Authors:  Frank J Stewart
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

5.  Sample processing and cDNA preparation for microbial metatranscriptomics in complex soil communities.

Authors:  Lilia C Carvalhais; Peer M Schenk
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

6.  SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data.

Authors:  Evguenia Kopylova; Laurent Noé; Hélène Touzet
Journal:  Bioinformatics       Date:  2012-10-15       Impact factor: 6.937

7.  The case for cloud computing in genome informatics.

Authors:  Lincoln D Stein
Journal:  Genome Biol       Date:  2010-05-05       Impact factor: 13.583

Review 8.  mRNA degradation in bacteria.

Authors:  R Rauhut; G Klug
Journal:  FEMS Microbiol Rev       Date:  1999-06       Impact factor: 16.408

9.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

Authors:  Jeremy Goecks; Anton Nekrutenko; James Taylor
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

10.  Snapshot of the eukaryotic gene expression in muskoxen rumen--a metatranscriptomic approach.

Authors:  Meng Qi; Pan Wang; Nicholas O'Toole; Perry S Barboza; Emilio Ungerfeld; Mary Beth Leigh; L Brent Selinger; Greg Butler; Adrian Tsang; Tim A McAllister; Robert J Forster
Journal:  PLoS One       Date:  2011-05-31       Impact factor: 3.240

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  4 in total

1.  Metatranscriptomic evidence for co-occurring top-down and bottom-up controls on toxic cyanobacterial communities.

Authors:  Morgan M Steffen; B Shafer Belisle; Sue B Watson; Gregory L Boyer; Richard A Bourbonniere; Steven W Wilhelm
Journal:  Appl Environ Microbiol       Date:  2015-02-06       Impact factor: 4.792

2.  Next-generation sequencing as a powerful motor for advances in the biological and environmental sciences.

Authors:  Denis Faure; Dominique Joly
Journal:  Genetica       Date:  2015-03-04       Impact factor: 1.082

3.  DNA and RNA Extraction and Quantitative Real-Time PCR-Based Assays for Biogas Biocenoses in an Interlaboratory Comparison.

Authors:  Michael Lebuhn; Jaqueline Derenkó; Antje Rademacher; Susanne Helbig; Bernhard Munk; Alexander Pechtl; Yvonne Stolze; Steffen Prowe; Wolfgang H Schwarz; Andreas Schlüter; Wolfgang Liebl; Michael Klocke
Journal:  Bioengineering (Basel)       Date:  2016-01-13

4.  Bacterial Communities Associated with Four Cyanobacterial Genera Display Structural and Functional Differences: Evidence from an Experimental Approach.

Authors:  Lin Zhu; Anouk Zancarini; Imen Louati; Silvia De Cesare; Charlotte Duval; Kevin Tambosco; Cécile Bernard; Didier Debroas; Lirong Song; Julie Leloup; Jean-François Humbert
Journal:  Front Microbiol       Date:  2016-10-24       Impact factor: 5.640

  4 in total

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