Evidence map›Paper›PMID 37755994›Full record

ReviewToxins2023

Recombination in Bacterial Genomes: Evolutionary Trends.

Anton E Shikov, Iuliia A Savina, Anton A Nizhnikov, Kirill S Antonets

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Comparative Genomics ofPathogens (Basel, Switzerland) · 2026
    Article
  4. New Insights into CRISPR-like Arrays inPathogens (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Antimicrobial Resistant Factors inInternational journal of genomics · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Genomic Characterization of Extended-SpectrumTransboundary and emerging diseases · 2024
    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 at 2 institutions in 1 country.

Anton E ShikovLaboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia.ORCID 0000-0001-7084-0177
Iuliia A SavinaLaboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia.
Anton A NizhnikovLaboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia.ORCID 0000-0002-8338-3494
Kirill S AntonetsLaboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia.ORCID 0000-0002-8575-2601
St Petersburg University · RUAll-Russian Research Institute of Agricultural Microbiology · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2021-1055
6 · The paper itself

Abstract

Bacterial organisms have undergone homologous recombination (HR) and horizontal gene transfer (HGT) multiple times during their history. These processes could increase fitness to new environments, cause specialization, the emergence of new species, and changes in virulence. Therefore, comprehensive knowledge of the impact and intensity of genetic exchanges and the location of recombination hotspots on the genome is necessary for understanding the dynamics of adaptation to various conditions. To this end, we aimed to characterize the functional impact and genomic context of computationally detected recombination events by analyzing genomic studies of any bacterial species, for which events have been detected in the last 30 years. Genomic loci where the transfer of DNA was detected pertained to mobile genetic elements (MGEs) housing genes that code for proteins engaged in distinct cellular processes, such as secretion systems, toxins, infection effectors, biosynthesis enzymes, etc. We found that all inferences fall into three main lifestyle categories, namely, ecological diversification, pathogenesis, and symbiosis. The latter primarily exhibits ancestral events, thus, possibly indicating that adaptation appears to be governed by similar recombination-dependent mechanisms.

Indexed as

BacteriaEvolution, MolecularGenome, BacterialRecombination, GeneticGene Transfer, Horizontalecological adaptationHGThomologous recombinationhorizontal gene transferHRpathogenesissymbiosis

Identifiers

PMID37755994
PMCPMC10534446
OpenAlexW4386644991

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.