Evidence map›Paper›PMID 30832740›Full record

ArticleMicrobiome2019

MetaCHIP: community-level horizontal gene transfer identification through the combination of best-match and phylogenetic approaches.

Weizhi Song, Bernd Wemheuer, Shan Zhang, Kerrin Steensen, Torsten Thomas

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

78 citing papers in PubMed, 159 citations in OpenAlex.

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  5. Alternating High-Fat and Polysaccharide Diets Modulates Gut Phage-Bacterial Interplay.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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18 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 2 countries.

Weizhi SongCentre for Marine Bio-Innovation, University of New South Wales, Sydney, NSW, 2052, Australia.
Bernd WemheuerCentre for Marine Bio-Innovation, University of New South Wales, Sydney, NSW, 2052, Australia.
Shan ZhangCentre for Marine Bio-Innovation, University of New South Wales, Sydney, NSW, 2052, Australia.
Kerrin SteensenCentre for Marine Bio-Innovation, University of New South Wales, Sydney, NSW, 2052, Australia.
Torsten ThomasCentre for Marine Bio-Innovation, University of New South Wales, Sydney, NSW, 2052, Australia. t.thomas@unsw.edu.au.ORCID 0000-0001-9557-3001
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetagenomic datasets provide an opportunity to study horizontal gene transfer (HGT) on the level of a microbial community. However, current HGT detection methods cannot be applied to community-level datasets or require reference genomes. Here, we present MetaCHIP, a pipeline for reference-independent HGT identification at the community level.

resultsAssessment of MetaCHIP's performance on simulated datasets revealed that it can predict HGTs with various degrees of genetic divergence from metagenomic datasets. The results also indicated that the detection of very recent gene transfers (i.e. those with low levels of genetic divergence) from metagenomics datasets is largely affected by the read assembly step. Comparison of MetaCHIP with a previous analysis on soil bacteria showed a high level of consistency for the prediction of recent HGTs and revealed a large number of additional non-recent gene transfers, which can provide new biological and ecological insight. Assessment of MetaCHIP's performance on real metagenomic datasets confirmed the role of HGT in the spread of genes related to antibiotic resistance in the human gut microbiome. Further testing also showed that functions related to energy production and conversion as well as carbohydrate transport and metabolism are frequently transferred among free-living microorganisms.

conclusionMetaCHIP provides an opportunity to study HGTs among members of a microbial community and therefore has several applications in the field of microbial ecology and evolution. MetaCHIP is implemented in Python and freely available at https://github.com/songweizhi/MetaCHIP .

Indexed as

Gene Transfer, HorizontalBacteriaComputational BiologyDatabases, GeneticDrug Resistance, BacterialEvolution, MolecularHumansMetagenomicsPhylogenySoil MicrobiologyBioinformaticsHGT identificationHorizontal gene transferMetagenomics

Identifiers

PMID30832740
PMCPMC6399960
OpenAlexW2944573370

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.