Literature DB >> 24060122

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

Frank J Stewart1.   

Abstract

High-throughput sequencing and analysis of microbial community cDNA (metatranscriptomics) are providing valuable insight into in situ microbial activity and metabolism in the oceans. A critical first step in metatranscriptomic studies is the preparation of high-quality cDNA. At the minimum, preparing cDNA for sequencing involves steps of biomass collection, RNA preservation, total RNA extraction, and cDNA synthesis. Each of these steps may present unique challenges for marine microbial samples, particularly for deep-sea samples whose transcriptional profiles may change between water collection and RNA preservation. Because bacterioplankton community RNA yields may be relatively low (<500 ng), it is often necessary to amplify total RNA to obtain sufficient cDNA for downstream sequencing. Additionally, depending on the nature of the samples, budgetary considerations, and the choice of sequencing technology, steps may be required to deplete the amount of ribosomal RNA (rRNA) transcripts in a sample in order to maximize mRNA recovery. cDNA preparation may also involve the addition of internal RNA standards to biomass samples, thereby allowing for absolute quantification of transcript abundance following sequencing. This chapter describes a general protocol for cDNA preparation from planktonic microbial communities, from RNA preservation to final cDNA synthesis, with specific emphasis placed on topics of sampling bias and rRNA depletion. Consideration of these topics is critical for helping standardize metatranscriptomics methods as they become widespread in marine microbiology research.
© 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Archaea; Bacteria; Metagenomics; Ocean; RNA-seq; Ribosomal RNA

Mesh:

Substances:

Year:  2013        PMID: 24060122     DOI: 10.1016/B978-0-12-407863-5.00010-1

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  11 in total

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

Authors:  Noémie Pascault; Valentin Loux; Sandra Derozier; Véronique Martin; Didier Debroas; Selma Maloufi; Jean-François Humbert; Julie Leloup
Journal:  Genetica       Date:  2014-09-13       Impact factor: 1.082

2.  Cooccurrence of Broad- and Narrow-Host-Range Viruses Infecting the Bloom-Forming Toxic Cyanobacterium Microcystis aeruginosa.

Authors:  Daichi Morimoto; Kento Tominaga; Yosuke Nishimura; Naohiro Yoshida; Shigeko Kimura; Yoshihiko Sako; Takashi Yoshida
Journal:  Appl Environ Microbiol       Date:  2019-08-29       Impact factor: 4.792

3.  Standard filtration practices may significantly distort planktonic microbial diversity estimates.

Authors:  Cory C Padilla; Sangita Ganesh; Shelby Gantt; Alex Huhman; Darren J Parris; Neha Sarode; Frank J Stewart
Journal:  Front Microbiol       Date:  2015-06-02       Impact factor: 5.640

4.  BioDry: An Inexpensive, Low-Power Method to Preserve Aquatic Microbial Biomass at Room Temperature.

Authors:  Steven J Tuorto; Chris M Brown; Kay D Bidle; Lora R McGuinness; Lee J Kerkhof
Journal:  PLoS One       Date:  2015-12-28       Impact factor: 3.240

5.  Comparison of library preparation methods reveals their impact on interpretation of metatranscriptomic data.

Authors:  Adriana Alberti; Caroline Belser; Stéfan Engelen; Laurie Bertrand; Céline Orvain; Laura Brinas; Corinne Cruaud; Laurène Giraut; Corinne Da Silva; Cyril Firmo; Jean-Marc Aury; Patrick Wincker
Journal:  BMC Genomics       Date:  2014-10-20       Impact factor: 3.969

6.  Oxygen at nanomolar levels reversibly suppresses process rates and gene expression in anammox and denitrification in the oxygen minimum zone off northern Chile.

Authors:  Tage Dalsgaard; Frank J Stewart; Bo Thamdrup; Loreto De Brabandere; Niels Peter Revsbech; Osvaldo Ulloa; Don E Canfield; Edward F DeLong
Journal:  mBio       Date:  2014-10-28       Impact factor: 7.867

7.  Transcriptome Analysis of a Bloom-Forming Cyanobacterium Microcystis aeruginosa during Ma-LMM01 Phage Infection.

Authors:  Daichi Morimoto; Shigeko Kimura; Yoshihiko Sako; Takashi Yoshida
Journal:  Front Microbiol       Date:  2018-01-19       Impact factor: 5.640

8.  Wanted dead or alive? Using metabarcoding of environmental DNA and RNA to distinguish living assemblages for biosecurity applications.

Authors:  Xavier Pochon; Anastasija Zaiko; Lauren M Fletcher; Olivier Laroche; Susanna A Wood
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

9.  Meta-omic signatures of microbial metal and nitrogen cycling in marine oxygen minimum zones.

Authors:  Jennifer B Glass; Cecilia B Kretz; Sangita Ganesh; Piyush Ranjan; Sherry L Seston; Kristen N Buck; William M Landing; Peter L Morton; James W Moffett; Stephen J Giovannoni; Kevin L Vergin; Frank J Stewart
Journal:  Front Microbiol       Date:  2015-09-28       Impact factor: 5.640

10.  Viral to metazoan marine plankton nucleotide sequences from the Tara Oceans expedition.

Authors:  Adriana Alberti; Julie Poulain; Stefan Engelen; Karine Labadie; Sarah Romac; Isabel Ferrera; Guillaume Albini; Jean-Marc Aury; Caroline Belser; Alexis Bertrand; Corinne Cruaud; Corinne Da Silva; Carole Dossat; Frédérick Gavory; Shahinaz Gas; Julie Guy; Maud Haquelle; E'krame Jacoby; Olivier Jaillon; Arnaud Lemainque; Eric Pelletier; Gaëlle Samson; Mark Wessner; Silvia G Acinas; Marta Royo-Llonch; Francisco M Cornejo-Castillo; Ramiro Logares; Beatriz Fernández-Gómez; Chris Bowler; Guy Cochrane; Clara Amid; Petra Ten Hoopen; Colomban De Vargas; Nigel Grimsley; Elodie Desgranges; Stefanie Kandels-Lewis; Hiroyuki Ogata; Nicole Poulton; Michael E Sieracki; Ramunas Stepanauskas; Matthew B Sullivan; Jennifer R Brum; Melissa B Duhaime; Bonnie T Poulos; Bonnie L Hurwitz; Stéphane Pesant; Eric Karsenti; Patrick Wincker
Journal:  Sci Data       Date:  2017-08-01       Impact factor: 6.444

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.