Preparation of microbial community cDNA for metatranscriptomic analysis in marine plankton
- PMID: 24060122
- DOI: 10.1016/B978-0-12-407863-5.00010-1
Preparation of microbial community cDNA for metatranscriptomic analysis in marine plankton
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.
Keywords: Archaea; Bacteria; Metagenomics; Ocean; RNA-seq; Ribosomal RNA.
© 2013 Elsevier Inc. All rights reserved.
Similar articles
-
Quantitative microbial metatranscriptomics.Methods Mol Biol. 2014;1096:213-29. doi: 10.1007/978-1-62703-712-9_17. Methods Mol Biol. 2014. PMID: 24515372
-
Sample processing and cDNA preparation for microbial metatranscriptomics in complex soil communities.Methods Enzymol. 2013;531:251-67. doi: 10.1016/B978-0-12-407863-5.00013-7. Methods Enzymol. 2013. PMID: 24060125
-
Metatranscriptomic analysis of autonomously collected and preserved marine bacterioplankton.ISME J. 2011 Dec;5(12):1881-95. doi: 10.1038/ismej.2011.70. Epub 2011 Jun 30. ISME J. 2011. PMID: 21716310 Free PMC article.
-
Comparative analysis of deep-sea bacterioplankton OMICS revealed the occurrence of habitat-specific genomic attributes.Mar Genomics. 2014 Oct;17:1-8. doi: 10.1016/j.margen.2014.06.001. Epub 2014 Jun 14. Mar Genomics. 2014. PMID: 24937756 Review.
-
Application of metatranscriptomics to soil environments.J Microbiol Methods. 2012 Nov;91(2):246-51. doi: 10.1016/j.mimet.2012.08.011. Epub 2012 Aug 29. J Microbiol Methods. 2012. PMID: 22963791 Review.
Cited by
-
Transcriptome Analysis of a Bloom-Forming Cyanobacterium Microcystis aeruginosa during Ma-LMM01 Phage Infection.Front Microbiol. 2018 Jan 19;9:2. doi: 10.3389/fmicb.2018.00002. eCollection 2018. Front Microbiol. 2018. PMID: 29403457 Free PMC article.
-
Metatranscriptomics by In Situ RNA Stabilization Directly and Comprehensively Revealed Episymbiotic Microbial Communities of Deep-Sea Squat Lobsters.mSystems. 2020 Oct 6;5(5):e00551-20. doi: 10.1128/mSystems.00551-20. mSystems. 2020. PMID: 33024051 Free PMC article.
-
Standard filtration practices may significantly distort planktonic microbial diversity estimates.Front Microbiol. 2015 Jun 2;6:547. doi: 10.3389/fmicb.2015.00547. eCollection 2015. Front Microbiol. 2015. PMID: 26082766 Free PMC article.
-
Omics-Inferred Partitioning and Expression of Diverse Biogeochemical Functions in a Low-O2 Cyanobacterial Mat Community.mSystems. 2021 Dec 21;6(6):e0104221. doi: 10.1128/mSystems.01042-21. Epub 2021 Dec 7. mSystems. 2021. PMID: 34874776 Free PMC article.
-
Technical challenges in metatranscriptomic studies applied to the bacterial communities of freshwater ecosystems.Genetica. 2015 Apr;143(2):157-67. doi: 10.1007/s10709-014-9783-4. Epub 2014 Sep 13. Genetica. 2015. PMID: 25216965
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources