Evidence map›Paper›PMID 27406565›Full record

ReviewmBio2016

Transfer of DNA from Bacteria to Eukaryotes.

Benoît Lacroix, Vitaly Citovsky

Open access · goldAbstract readReview
In one paragraph

Review in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
41.1field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 135 citations in OpenAlex.

  1. Review
  2. Convergent evolution of ST2 and ST164 mediates dissemination of the blaAnnals of clinical microbiology and antimicrobials · 2026
    Article
  3. Review
  4. Functional Analysis of Naturally IntegratedPlants (Basel, Switzerland) · 2025
    Article
  5. Article
  6. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Benoît LacroixDepartment of Biochemistry and Cell Biology, State University of New York, Stony Brook, New York, USA benoit.lacroix@stonybrook.edu.
Vitaly CitovskyDepartment of Biochemistry and Cell Biology, State University of New York, Stony Brook, New York, USA.ORCID 0000-0003-2024-6844
State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, the members of the Agrobacterium genus have been considered the only bacterial species naturally able to transfer and integrate DNA into the genomes of their eukaryotic hosts. Yet, increasing evidence suggests that this ability to genetically transform eukaryotic host cells might be more widespread in the bacterial world. Indeed, analyses of accumulating genomic data reveal cases of horizontal gene transfer from bacteria to eukaryotes and suggest that it represents a significant force in adaptive evolution of eukaryotic species. Specifically, recent reports indicate that bacteria other than Agrobacterium, such as Bartonella henselae (a zoonotic pathogen), Rhizobium etli (a plant-symbiotic bacterium related to Agrobacterium), or even Escherichia coli, have the ability to genetically transform their host cells under laboratory conditions. This DNA transfer relies on type IV secretion systems (T4SSs), the molecular machines that transport macromolecules during conjugative plasmid transfer and also during transport of proteins and/or DNA to the eukaryotic recipient cells. In this review article, we explore the extent of possible transfer of genetic information from bacteria to eukaryotic cells as well as the evolutionary implications and potential applications of this transfer.

Indexed as

Gene Transfer, HorizontalTransformation, GeneticBacteriaDNA, BacterialEukaryotaType IV Secretion SystemsDNA, BacterialType IV Secretion Systems

Identifiers

PMID27406565
PMCPMC4958254
OpenAlexW2464662570

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.