Evidence map›Paper›PMID 35682936›Full record

ReviewInternational journal of molecular sciences2022

Current Methods for Recombination Detection in Bacteria.

Anton E Shikov, Yury V Malovichko, Anton A Nizhnikov, Kirill S Antonets

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. 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
2.8field-weighted citation impact, top 8% 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, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Proposal ofInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Evolution of homologous recombination rates across bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. For Someone, You Are the Whole World: Host-Specificity ofInternational journal of molecular sciences · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. hgtseq: A Standard Pipeline to Study Horizontal Gene Transfer.International journal of molecular sciences · 2022
    Article
  19. 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 1 institution 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
Yury V MalovichkoLaboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia.ORCID 0000-0002-2963-7932
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 · RU

Funding

Russian Science Foundation 20-76-10044
6 · The paper itself

Abstract

The role of genetic exchanges, i.e., homologous recombination (HR) and horizontal gene transfer (HGT), in bacteria cannot be overestimated for it is a pivotal mechanism leading to their evolution and adaptation, thus, tracking the signs of recombination and HGT events is importance both for fundamental and applied science. To date, dozens of bioinformatics tools for revealing recombination signals are available, however, their pros and cons as well as the spectra of solvable tasks have not yet been systematically reviewed. Moreover, there are two major groups of software. One aims to infer evidence of HR, while the other only deals with horizontal gene transfer (HGT). However, despite seemingly different goals, all the methods use similar algorithmic approaches, and the processes are interconnected in terms of genomic evolution influencing each other. In this review, we propose a classification of novel instruments for both HR and HGT detection based on the genomic consequences of recombination. In this context, we summarize available methodologies paying particular attention to the type of traceable events for which a certain program has been designed.

Indexed as

Evolution, MolecularGene Transfer, HorizontalBacteriaComputational BiologyHomologous RecombinationPhylogenyHGT detectionhomologous recombination (HR)horizontal gene transfer (HGT)phylogenetic methodsrecombination detectionsynteny

Identifiers

PMID35682936
PMCPMC9181119
OpenAlexW4281720551

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.