Evidence map›Paper›PMID 27577787›Full record

ArticleScientific reports2016

Direct 16S rRNA-seq from bacterial communities: a PCR-independent approach to simultaneously assess microbial diversity and functional activity potential of each taxon.

Riccardo Rosselli, Ottavia Romoli, Nicola Vitulo, Alessandro Vezzi, Stefano Campanaro, Fabio de Pascale, Riccardo Schiavon, Maurizio Tiarca, Fabio Poletto, Giuseppe Concheri and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Journal of clinical medicine · 2022
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  16. Evaluating tannery wastewater treatment performance based on physicochemical and microbiological characteristics: An Ethiopian case study.Water environment research : a research publication of the Water Environment Federation · 2021
    Article
  17. Article
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  19. Prevalence, genotyping and antibiotic resistance ofIranian journal of microbiology · 2020
    Article
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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

12 authors.

Riccardo RosselliDepartment of Biology, University of Padova, Padova, Italy.
Ottavia RomoliDepartment of Biology, University of Padova, Padova, Italy.
Nicola VituloDepartment of Biotechnology, University of Verona, Verona 37134, Italy.
Alessandro VezziDepartment of Biology, University of Padova, Padova, Italy.
Stefano CampanaroDepartment of Biology, University of Padova, Padova, Italy.
Fabio de PascaleDepartment of Biology, University of Padova, Padova, Italy.
Riccardo SchiavonDepartment of Biology, University of Padova, Padova, Italy.
Maurizio TiarcaRWL Water/Eurotec WTT, Water Treatment Technologies, S.r.l., Padova, Italy.
Fabio PolettoRWL Water/Eurotec WTT, Water Treatment Technologies, S.r.l., Padova, Italy.
Giuseppe ConcheriDepartment of Agronomy Animals, Food, Natural Resources and Environment, DAFNAE, University of Padova, Legnaro (Padova) Italy.
Giorgio ValleDepartment of Biology, University of Padova, Padova, Italy.
Andrea SquartiniDepartment of Agronomy Animals, Food, Natural Resources and Environment, DAFNAE, University of Padova, Legnaro (Padova) Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of environmental microbial communities has largely relied on a PCR-dependent amplification of genes entailing species identity as 16S rRNA. This approach is susceptible to biases depending on the level of primer matching in different species. Moreover, possible yet-to-discover taxa whose rRNA could differ enough from known ones would not be revealed. DNA-based methods moreover do not provide information on the actual physiological relevance of each taxon within an environment and are affected by the variable number of rRNA operons in different genomes. To overcome these drawbacks we propose an approach of direct sequencing of 16S ribosomal RNA without any primer- or PCR-dependent step. The method was tested on a microbial community developing in an anammox bioreactor sampled at different time-points. A conventional PCR-based amplicon pyrosequencing was run in parallel. The community resulting from direct rRNA sequencing was highly consistent with the known biochemical processes operative in the reactor. As direct rRNA-seq is based not only on taxon abundance but also on physiological activity, no comparison between its results and those from PCR-based approaches can be applied. The novel principle is in this respect proposed not as an alternative but rather as a complementary methodology in microbial community studies.

Indexed as

BacteriaMicrobial ConsortiaOperonRNA, BacterialRNA, Ribosomal, 16SSequence Analysis, RNARNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID27577787
PMCPMC5006002

What OpenQuestion holds

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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.