Evidence map›Paper›PMID 29926341›Full record

ArticleFolia microbiologica2019

The concept of operational taxonomic units revisited: genomes of bacteria that are regarded as closely related are often highly dissimilar.

Salvador Lladó Fernández, Tomáš Větrovský, Petr Baldrian

Abstract read
PubMed Publisher
In one paragraph

Article in Folia microbiologica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

3 authors at 2 institutions in 2 countries.

Salvador Lladó FernándezLaboratory of Environmental Microbiology, Institute of Microbiology of the CAS, v.v.i., Praha, Czech Republic.
Tomáš VětrovskýLaboratory of Environmental Microbiology, Institute of Microbiology of the CAS, v.v.i., Praha, Czech Republic.
Petr BaldrianLaboratory of Environmental Microbiology, Institute of Microbiology of the CAS, v.v.i., Praha, Czech Republic. baldrian@biomed.cas.cz.ORCID http://orcid.org/0000-0002-8983-2721
Czech Academy of Sciences, Institute of Microbiology · CZInstitute of Microbiology · BY

Funding

Czech Science Foundation 18-25706SMinisterstvo Školství, Mládeže a Tělovýchovy LTT17022
6 · The paper itself

Abstract

The concept of operational taxonomic units (OTUs), which constructs "mathematically" defined taxa, is widely accepted and applied to describe bacterial communities using amplicon sequencing of 16S rRNA gene. OTUs are often used to infer functional traits since they are considered to fairly represent of community members. However, the link between molecular taxa, real taxa, and OTUs seems to be much more complicated. Strains of the same bacterial species (ideally belonging to the same OTU) typically only share some genes (the core genome), while other genes are strain-specific and unique. It is thus unclear to what extent are important functional traits homogeneous within an OTU and how correctly can functional traits be inferred for individual OTU members. Here, we have tested in silico the similarity of all genes and, more specifically, the set of genes encoding for glycoside hydrolases (GH) in bacterial genomes that belong to the same OTU. Genome similarity varied among OTUs, but as many as 5-78% of genes were not shared between the two bacterial genomes in the pair. The complement of GH families (the presence of gene families and the number of genes per family) differed in 95% of OTUs. In average, 43% of GH families either differed in gene counts or were present in one genome and absent in the other. These results show a serious limitation of the OTU-based approaches when used to infer the functional traits of bacterial communities and open the questions how to link environmental sequencing data and microbial functions.

Indexed as

MetagenomicsBacteriaDatabases, Nucleic AcidDNA, BacterialGenes, BacterialGenetic VariationGenome, BacterialGlycoside HydrolasesMicrobiotaPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialGlycoside HydrolasesRNA, Ribosomal, 16S

Identifiers

PMID29926341
OpenAlexW2809122901

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.