Evidence map›Paper›PMID 36011312›Full record

ArticleGenes2022

A Functional Carbohydrate Degrading Enzyme Potentially Acquired by Horizontal Gene Transfer in the Genome of the Soil Invertebrate

Ngoc Giang Le, Peter van Ulsen, Rob van Spanning, Abraham Brouwer, Nico M van Straalen, Dick Roelofs

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. The eukaryotic horizontal gene transfer dataset a compendium.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. 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

6 authors at 3 institutions in 1 country.

Ngoc Giang LeDepartment of Ecological Science, Faculty of Science, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0001-6660-557X
Peter van UlsenDepartment of Molecular Cell Biology, Faculty of Science, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0002-2164-1611
Rob van SpanningDepartment of Molecular Cell Biology, Faculty of Science, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.
Abraham BrouwerBioDetection Systems, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0001-5506-9951
Nico M van StraalenDepartment of Ecological Science, Faculty of Science, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0003-4219-7297
Dick RoelofsDepartment of Ecological Science, Faculty of Science, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0003-3954-3590
Vrije Universiteit Amsterdam · NLBioDetection Systems (Netherlands) · NLKeyGene (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gene transfer (HGT) is defined as the acquisition by an organism of hereditary material from a phylogenetically unrelated organism. This process is mostly observed among bacteria and archaea, and considered less likely between microbes and multicellular eukaryotes. However, recent studies provide compelling evidence of the evolutionary importance of HGT in eukaryotes, driving functional innovation. Here, we study an HGT event in

Indexed as

ArthropodsGene Transfer, HorizontalAnimalsBacteriaCarbohydratesEscherichia coliEukaryotaInsectaProtein Sorting SignalsSoilCarbohydratesProtein Sorting SignalsSoilarabinofuranosidaseCAZyco-evolutionCollembolaFolsomia candidahorizontal gene transfermetagenomicsmicrobiomesignal peptidesoil invertebrates

Identifiers

PMID36011312
PMCPMC9460274
OpenAlexW4290502252

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.