Evidence map›Paper›PMID 24492458›Full record

ArticleScientific reports2014

Insights into the distribution and abundance of the ubiquitous candidatus Saccharibacteria phylum following tag pyrosequencing.

Belinda Ferrari, Tristrom Winsley, Mukan Ji, Brett Neilan

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  9. Comparative Gut Microbiome inFrontiers in cellular and infection microbiology · 2022
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  10. Adapted Protocol forMicrobiology spectrum · 2021
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  11. Review
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  19. Article
  20. 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

4 authors.

Belinda FerrariSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Randwick, NSW, 2052, Australia.
Tristrom WinsleySchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Randwick, NSW, 2052, Australia.
Mukan JiSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Randwick, NSW, 2052, Australia.
Brett NeilanSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Randwick, NSW, 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phylum candidatus Saccharibacteria formerly known as Candidate Division TM7 is a highly ubiquitous phylum with 16S rRNA gene sequences reported in soils, sediments, wastewater and animals, as well as a host of clinical environments. Here, the application of two taxon-specific primers on environmental and human-associated samples using bar-coded tag pyrosequencing revealed two new clades for this phylum to exist and we propose that the division consists of 2 monophyletic and 2 polyphyletic clades. Investigation into TM7 ecology revealed that a high proportion (58%) of phylotypes were sample specific, few were widely distributed and of those most widely distributed all belonged to subdivision 3. Additionally, 50% of the most relatively abundant phylotypes observed were also subdivision 3 members. Community analysis showed that despite the presence of a high proportion of unique phylotypes, specific groups of samples still harbor similar TM7 communities with samples clustering together. The lack of relatively abundant phylotypes from subdivisions 1, 2 and 4 and the presence of very few cosmopolitan members' highlights not only the site specific nature of this phylum but provides insight into why the majority of studies into TM7 have been biased towards subdivision 3.

Indexed as

DNA Barcoding, TaxonomicBacteriaBase SequenceDNA, BacterialDNA PrimersMolecular Sequence DataPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA PrimersRNA, Ribosomal, 16S

Identifiers

PMID24492458
PMCPMC5379237

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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.