Evidence map›Paper›PMID 29367879›Full record

ArticleNPJ biofilms and microbiomes2018

Advantages of meta-total RNA sequencing (MeTRS) over shotgun metagenomics and amplicon-based sequencing in the profiling of complex microbial communities.

Fabien Cottier, Kandhadayar Gopalan Srinivasan, Marina Yurieva, Webber Liao, Michael Poidinger, Francesca Zolezzi, Norman Pavelka

Open access · goldAbstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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

34 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Fungal ecology in the age of 'omics.The New phytologist · 2026
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  6. The Next Generation Fecal Microbiota Transplantation: To Transplant Bacteria or Virome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
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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

7 authors at 1 institution in 3 countries.

Fabien Cottier *1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), 8A Biomedical Grove, Immunos #04, Singapore, 138648 Singapore.ORCID 0000-0003-4830-8947
Kandhadayar Gopalan Srinivasan *1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), 8A Biomedical Grove, Immunos #04, Singapore, 138648 Singapore.
Marina Yurieva *1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), 8A Biomedical Grove, Immunos #04, Singapore, 138648 Singapore.ORCID 0000-0001-8185-7492
Webber Liao1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), 8A Biomedical Grove, Immunos #04, Singapore, 138648 Singapore.ORCID 0000-0003-4365-8753
Michael Poidinger1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), 8A Biomedical Grove, Immunos #04, Singapore, 138648 Singapore.ORCID 0000-0002-1047-2277
Francesca Zolezzi1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), 8A Biomedical Grove, Immunos #04, Singapore, 138648 Singapore.ORCID 0000-0002-8410-1401
Norman Pavelka1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), 8A Biomedical Grove, Immunos #04, Singapore, 138648 Singapore.ORCID 0000-0003-4542-9970
Agency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing-based microbiome profiling aims at detecting and quantifying individual members of a microbial community in a culture-independent manner. While amplicon-based sequencing (ABS) of bacterial or fungal ribosomal DNA is the most widely used technology due to its low cost, it suffers from PCR amplification biases that hinder accurate representation of microbial population structures. Shotgun metagenomics (SMG) conversely allows unbiased microbiome profiling but requires high sequencing depth. Here we report the development of a meta-total RNA sequencing (MeTRS) method based on shotgun sequencing of total RNA and benchmark it on a human stool sample spiked in with known abundances of bacterial and fungal cells. MeTRS displayed the highest overall sensitivity and linearity for both bacteria and fungi, the greatest reproducibility compared to SMG and ABS, while requiring a ~20-fold lower sequencing depth than SMG. We therefore present MeTRS as a valuable alternative to existing technologies for large-scale profiling of complex microbiomes.

Identifiers

PMID29367879
PMCPMC5773663
OpenAlexW2782809593

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.