Evidence map›Paper›PMID 36568361›Full record

ArticleFrontiers in genetics2022

ggMOB: Elucidation of genomic conjugative features and associated cargo genes across bacterial genera using genus-genus mobilization networks.

Gowri Nayar, Ignacio Terrizzano, Ed Seabolt, Akshay Agarwal, Christina Boucher, Jaime Ruiz, Ilya B Slizovskiy, James H Kaufman, Noelle R Noyes

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Gowri NayarDepartment of Biomedical Informatics, Stanford University, Stanford, CA, United States.
Ignacio TerrizzanoIBM Research Almaden, San Jose, CA, United States.
Ed SeaboltIBM Research Almaden, San Jose, CA, United States.
Akshay AgarwalIBM Research Almaden, San Jose, CA, United States.
Christina BoucherDepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
Jaime RuizDepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
Ilya B SlizovskiyDepartment of Veterinary Population Medicine, University of Minnesota, Minneapolis, MN, United States.
James H KaufmanAltos Labs, Redwood City, CA, United States.
Noelle R NoyesDepartment of Veterinary Population Medicine, University of Minnesota, Minneapolis, MN, United States.
IBM Research - Almaden · USUniversity of Florida · USUniversity of Minnesota · USAltos LabsStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gene transfer mediated by conjugation is considered an important evolutionary mechanism of bacteria. It allows organisms to quickly evolve new phenotypic properties including antimicrobial resistance (AMR) and virulence. The frequency of conjugation-mediated cargo gene exchange has not yet been comprehensively studied within and between bacterial taxa. We developed a frequency-based network of genus-genus conjugation features and candidate cargo genes from whole-genome sequence data of over 180,000 bacterial genomes, representing 1,345 genera. Using our method, which we refer to as ggMOB, we revealed that over half of the bacterial genomes contained one or more known conjugation features that matched exactly to at least one other genome. Moreover, the proportion of genomes containing these conjugation features varied substantially by genus and conjugation feature. These results and the genus-level network structure can be viewed interactively in the ggMOB interface, which allows for user-defined filtering of conjugation features and candidate cargo genes. Using the network data, we observed that the ratio of AMR gene representation in conjugative

Indexed as

antimicobial resistancebig datagenomicsmetagenomicsmobile genetic elements (MGE)

Identifiers

PMID36568361
PMCPMC9779932
OpenAlexW4311861580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.