Evidence map›Paper›PMID 30976019›Full record

ArticleScientific reports2019

Horizontal gene transfer in human-associated microorganisms inferred by phylogenetic reconstruction and reconciliation.

Hyeonsoo Jeong, Bushra Arif, Gustavo Caetano-Anollés, Kyung Mo Kim, Arshan Nasir

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 77 citations in OpenAlex.

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  17. The Distribution of Eight Antimicrobial Resistance Genes inTropical medicine and infectious disease · 2023
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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

5 authors at 4 institutions in 3 countries.

Hyeonsoo JeongDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Bushra ArifDepartment of Biosciences, COMSATS University Islamabad, Park Road, Tarlai Kalan, Islamabad, Pakistan.
Gustavo Caetano-AnollésDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Kyung Mo KimDivision of Polar Life Sciences, Korea Polar Research Institute, Incheon, Republic of Korea. kmkim@kopri.re.kr.
Arshan NasirDepartment of Biosciences, COMSATS University Islamabad, Park Road, Tarlai Kalan, Islamabad, Pakistan. arshan.nasir@gmail.com.ORCID http://orcid.org/0000-0001-7200-0788
COMSATS University Islamabad · PKGeorgia Institute of Technology · USKorea Polar Research Institute · KRUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gene transfer (HGT) is widespread in the evolution of prokaryotes, especially those associated with the human body. Here, we implemented large-scale gene-species phylogenetic tree reconstructions and reconciliations to identify putative HGT-derived genes in the reference genomes of microbiota isolated from six major human body sites by the NIH Human Microbiome Project. Comparisons with a control group representing microbial genomes from diverse natural environments indicated that HGT activity increased significantly in the genomes of human microbiota, which is confirmatory of previous findings. Roughly, more than half of total genes in the genomes of human-associated microbiota were transferred (donated or received) by HGT. Up to 60% of the detected HGTs occurred either prior to the colonization of the human body or involved bacteria residing in different body sites. The latter could suggest 'genetic crosstalk' and movement of bacterial genes within the human body via hitherto poorly understood mechanisms. We also observed that HGT activity increased significantly among closely-related microorganisms and especially when they were united by physical proximity, suggesting that the 'phylogenetic effect' can significantly boost HGT activity. Finally, we identified several core and widespread genes least influenced by HGT that could become useful markers for building robust 'trees of life' and address several outstanding technical challenges to improve the phylogeny-based genome-wide HGT detection method for future applications.

Indexed as

Genes, BacterialGene Transfer, HorizontalGenome, BacterialPhylogenyBacteriaComputational BiologyEvolution, MolecularHumansModels, Genetic

Identifiers

PMID30976019
PMCPMC6459891
OpenAlexW2939868250

What OpenQuestion holds

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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.