Evidence map›Paper›PMID 25216965›Full record

ArticleGenetica2015

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

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

Abstract read
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In one paragraph

Article in Genetica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Contribution of -Omics Technologies in the Study ofInternational journal of molecular sciences · 2022
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Noémie PascaultiEES Paris, UMR 7618 UPMC-CNRS-INRA-IRD-Paris 7-UPEC, 4 place Jussieu, 75005, Paris, France.
Valentin Loux
Sandra Derozier
Véronique Martin
Didier Debroas
Selma Maloufi
Jean-François Humbert
Julie Leloup

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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).

Indexed as

EcosystemMetagenomeAnabaenaComputational BiologyCyanobacteriaEutrophicationFranceFresh WaterGene Expression ProfilingHigh-Throughput Nucleotide SequencingMicrocystisRNA, BacterialRNA, MessengerSequence Analysis, DNATranscriptomeRNA, BacterialRNA, Messenger

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.