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Other ORP type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
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Metatranscriptomics of Host/Coral-associated Bacterial Communities: Enrichment of bacterial mRNA for metatranscriptomics through sequential polyA(+)-mRNA and rRNA subtractions

Authors: TIgnat-Perrier, Romie; Gervais, Ophélie; Ferrier-Pagès, Christine; Voolstra, Christian R.; van de Water, Jeroen A.J.M.;

Metatranscriptomics of Host/Coral-associated Bacterial Communities: Enrichment of bacterial mRNA for metatranscriptomics through sequential polyA(+)-mRNA and rRNA subtractions

Abstract

Summary Metatranscriptomics is a powerful technique to study the ongoing processes in complex communities through the analysis of their gene expression profiles. As such, it is possible to assess, for example, whether there are inter- and intraspecific differences between the functioning of the microbiota of various host organisms, or how the functioning of the microbiome/microbiota may be altered under different conditions. This method has been used mostly to study free-living microbial communities (e.g. in sediment or water) and biofilms, as well as the microbiota of model organisms. However, metatranscriptomics approaches on non-model organisms from the marine environment are still relatively uncommon. Metatranscriptomic analysis of host tissue-associated microbial communities is namely complex as the amount of RNA originating from host cells generally greatly outnumbers the RNA originating from microbes. To avoid that the metatranscriptome sequencing data consists overwhelmingly of reads from the host rather than the microbiota and that very deep sequencing is required to offset this, it is important to remove as much host RNA (both coding polyA(+) messenger RNA and non-coding ribosomal RNA) from samples prior to sequencing library preparation. This is an additional step to the subtraction of ribosomal RNAs from microbes. As commercial kits for rRNA subtraction are not available for non-model organisms and their associated communities of prokaryotic and eukaryotic microbes, it is important to use tailormade sample-specific subtraction protocols. We studied the metatranscriptome of the octocoral species Corallium rubrum under ambient conditions as well as exposed to low and high temperatures. To this end, we slightly modified our previously published protocol to reduce rRNA and polyA(+)-mRNA from octocoral holobionts (van de Water et al. (2024)), which was a modification of the protocol used by Daniels et al. (2015), studying the metatranscriptome of a scleractinian coral, and is based on the protocol developed by Stewart et al. (2010). The protocol for the enrichment of bacterial mRNA for metatranscriptomics through rRNA and polyA(+)-mRNA subtraction consists of four stages: (1) the simultaneous extraction of both DNA and RNA from the same sample; (2) the development of biotin-labelled, sample-specific anti-sense rRNA probes targeting eukaryotic and prokaryotic rRNA using in vitro transcription (IVT); (3) the depletion of polyA(+)-mRNA from the total RNA sample using oligo(dT)25-coated beads to remove eukaryotic mRNA; followed by (4) subtractive hybridization for the removal of rRNA using the biotin-labelled anti-sense RNA probes. The RNA remaining after the polyA(+)-mRNA depletion and rRNA subtraction, will be relatively enriched in prokaryotic mRNA and is ready to use for sequencing library preparation.

Changes to Version 1.0 : The DNA/RNA extraction protocol (Step 1) has been modified and includes a bead beating step now. The PCR protocol to generate template DNA (Step 2.1) for the in vitro transcription of anti-sense rRNA probes has been optimized. This research was supported by funding from Chanel.

Keywords

Host-associated, mRNA, Microbiota, Subtractive Hybridization, Coral, rRNA, Bacterial mRNA enrichment, Metatranscriptomics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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