Evidence map›Paper›PMID 32138652›Full record

ArticleBMC genomics2020

Detecting horizontal gene transfer: a probabilistic approach.

Gur Sevillya, Orit Adato, Sagi Snir

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. 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
1.8field-weighted citation impact, top 14% 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, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Leveraging FracMinHash Containment for GenomicbioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. Microorganisms · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Incongruence in the phylogenomics era.Nature reviews. Genetics · 2023
    Review
  10. Origins and Evolution of NovelbioRxiv : the preprint server for biology · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Current Methods for Recombination Detection in Bacteria.International journal of molecular sciences · 2022
    Review
  19. Indirect identification of horizontal gene transfer.Journal of mathematical biology · 2021
    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 1 institution in 1 country.

Gur SevillyaDept. of Evolutionary and Environmental Biology, University of Haifa, Haifa, 3498838, Israel.
Orit AdatoDept. of Evolutionary and Environmental Biology, University of Haifa, Haifa, 3498838, Israel.
Sagi SnirDept. of Evolutionary and Environmental Biology, University of Haifa, Haifa, 3498838, Israel. ssagi@research.haifa.ac.il.
University of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHorizontal gene transfer (HGT) is the event of a DNA sequence being transferred between species not by inheritance. HGT is a crucial factor in prokaryotic evolution and is a significant source for genomic novelty resulting in antibiotic resistance or the outbreak of virulent strains. Detection of HGT and the mechanisms responsible and enabling it, is hence of prime importance.Existing algorithms rely on a strong phylogenetic signal distinguishing the transferred sequence from its recipient genome. Closely related species pose an even greater challenge as most genes are very similar and therefore, the phylogenetic signal is weak anyhow. Notwithstanding, the importance of detecting HGT between such organisms is extremely high for the role of HGT in the emergence of new highly virulent strains.

resultsIn a recent work we devised a novel technique that relies on loss of synteny around a gene as a witness for HGT. We used a novel heuristic for synteny measurement, SI (Syntent Index), and the technique was tested on both simulated and real data and was found to provide a greater sensitivity than other HGT techniques. This synteny-based approach suffers low specificity, in particular more closely related species. Here we devise an adaptive approach to cope with this by varying the criteria according to species distance. The new approach is doubly adaptive as it also considers the lengths of the genes being transferred. In particular, we use Chernoff bound to decree HGT both in simulations and real bacterial genomes taken from EggNog database.

conclusionsHere we show empirically that this approach is more conservative than the previous χ

Indexed as

Gene Transfer, HorizontalAlgorithmsBacteriaComputational BiologyEvolution, MolecularGenetic SpeciationPhylogenyVirusesGene orderHorizontal gene transferPhylogenetics

Identifiers

PMID32138652
PMCPMC7057450
OpenAlexW3009784754

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.