Evidence map›Paper›PMID 36229545›Full record

ArticleNature communications2022

Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians.

Jean-Sebastien Gounot, Minghao Chia, Denis Bertrand, Woei-Yuh Saw, Aarthi Ravikrishnan, Adrian Low, Yichen Ding, Amanda Hui Qi Ng, Linda Wei Lin Tan, Yik-Ying Teo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 75 citations in OpenAlex.

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  18. Assessing Zoonotic Risks ofPathogens (Basel, Switzerland) · 2025
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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

12 authors at 4 institutions in 2 countries.

Jean-Sebastien Gounot *Genome Institute of Singapore, Singapore, 138672, Singapore.
Minghao Chia *Genome Institute of Singapore, Singapore, 138672, Singapore.
Denis Bertrand *Genome Institute of Singapore, Singapore, 138672, Singapore.
Woei-Yuh SawLife Sciences Institute, National University of Singapore, Singapore, 117456, Singapore.
Aarthi RavikrishnanGenome Institute of Singapore, Singapore, 138672, Singapore.
Adrian LowTemasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore.ORCID 0000-0003-0997-2490
Yichen DingTemasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore.
Amanda Hui Qi NgGenome Institute of Singapore, Singapore, 138672, Singapore.
Linda Wei Lin TanSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Singapore, 117549, Singapore.ORCID 0000-0001-5317-0458
Yik-Ying TeoLife Sciences Institute, National University of Singapore, Singapore, 117456, Singapore. yyteo@nus.edu.sg.
Henning SeedorfTemasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore. henning@tll.org.sg.ORCID 0000-0002-5763-0236
Niranjan NagarajanGenome Institute of Singapore, Singapore, 138672, Singapore. nagarajann@gis.a-star.edu.sg.ORCID 0000-0003-0850-5604
Genome Institute of Singapore · SGNational University of Singapore · SGTemasek Life Sciences Laboratory · SGBaker Heart and Diabetes Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite extensive efforts to address it, the vastness of uncharacterized 'dark matter' microbial genetic diversity can impact short-read sequencing based metagenomic studies. Population-specific biases in genomic reference databases can further compound this problem. Leveraging advances in hybrid assembly (using short and long reads) and Hi-C technologies in a cross-sectional survey, we deeply characterized 109 gut microbiomes from three ethnicities in Singapore to comprehensively reconstruct 4497 medium and high-quality metagenome assembled genomes, 1708 of which were missing in short-read only analysis and with >28× N50 improvement. Species-level clustering identified 70 (>10% of total) novel gut species out of 685, improved reference genomes for 363 species (53% of total), and discovered 3413 strains unique to these populations. Among the top 10 most abundant gut bacteria in our study, one of the species and >80% of strains were unrepresented in existing databases. Annotation of biosynthetic gene clusters (BGCs) uncovered more than 27,000 BGCs with a large fraction (36-88%) unrepresented in current databases, and with several unique clusters predicted to produce bacteriocins that could significantly alter microbiome community structure. These results reveal significant uncharacterized gut microbial diversity in Southeast Asian populations and highlight the utility of hybrid metagenomic references for bioprospecting and disease-focused studies.

Indexed as

BacteriocinsMicrobiotaAsian PeopleCross-Sectional StudiesGenome, HumanHumansMetagenomeMetagenomicsBacteriocins

Identifiers

PMID36229545
PMCPMC9561172
OpenAlexW4304943053

What OpenQuestion holds

Textmetadata
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.