Evidence map›Paper›PMID 38643216›Full record

ArticleScientific reports2024

The overlooked evolutionary dynamics of 16S rRNA revises its role as the "gold standard" for bacterial species identification.

Oldřich Bartoš, Martin Chmel, Iva Swierczková

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

  1. Trial
  2. Article
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  4. Review
  5. Detection ofAnimals : an open access journal from MDPI · 2026
    Article
  6. Article
  7. Microbial genomics · 2026
    Article
  8. International journal of systematic and evolutionary microbiology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Microbial Evolution and Systematics: Archaea and Bacteria.Progress in molecular and subcellular biology · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Oldřich BartošMilitary Health Institute, Military Medical Agency, 16200, Prague, Czech Republic. 124600@seznam.cz.
Martin ChmelMilitary Health Institute, Military Medical Agency, 16200, Prague, Czech Republic.
Iva SwierczkováMilitary Health Institute, Military Medical Agency, 16200, Prague, Czech Republic.

Funding

Ministry of Defence, Czech Republic MO1012
6 · The paper itself

Abstract

The role of 16S rRNA has been and largely remains crucial for the identification of microbial organisms. Although 16S rRNA could certainly be described as one of the most studied sequences ever, the current view of it remains somewhat ambiguous. While some consider 16S rRNA to be a variable marker with resolution power down to the strain level, others consider them to be living fossils that carry information about the origin of domains of cellular life. We show that 16S rRNA is clearly an evolutionarily very rigid sequence, making it a largely unique and irreplaceable marker, but its applicability beyond the genus level is highly limited. Interestingly, it seems that the evolutionary rigidity is not driven by functional constraints of the sequence (RNA-protein interactions), but rather results from the characteristics of the host organism. Our results suggest that, at least in some lineages, Horizontal Gene Transfer (HGT) within genera plays an important role for the evolutionary non-dynamics (stasis) of 16S rRNA. Such genera exhibit an apparent lack of diversification at the 16S rRNA level in comparison to the rest of a genome. However, why it is limited specifically and solely to 16S rRNA remains enigmatic.

Indexed as

Biological EvolutionPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S

Identifiers

PMID38643216
PMCPMC11032355

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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.