Evidence map›Paper›PMID 35676264›Full record

ArticleNature communications2022

Short- and long-read metagenomics expand individualized structural variations in gut microbiomes.

Liang Chen, Na Zhao, Jiabao Cao, Xiaolin Liu, Jiayue Xu, Yue Ma, Ying Yu, Xuan Zhang, Wenhui Zhang, Xiangyu Guan and 9 more

Abstract 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 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–field-weighted citation impact
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

74 citing papers in PubMed.

  1. Article
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  13. Bioinformatics advances · 2026
    Article
  14. Review
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  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

14 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

19 authors.

Liang Chen *CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Na Zhao *CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Jiabao Cao *CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Xiaolin Liu *CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-6517-4165
Jiayue Xu *CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Yue MaCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-8989-2786
Ying YuCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Xuan ZhangCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Wenhui ZhangCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Xiangyu GuanCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-9396-8245
Xiaotong YuGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhipeng LiuBiotree-Shanghai, Shanghai, China.
Yanqun FanBiotree-Shanghai, Shanghai, China.
Yang WangGrandOmics Biosciences, Beijing, China.
Fan LiangGrandOmics Biosciences, Beijing, China.ORCID 0000-0003-1556-1436
Depeng WangGrandOmics Biosciences, Beijing, China.
Linhua ZhaoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Moshi SongUniversity of Chinese Academy of Sciences, Beijing, China. songmoshi@ioz.ac.cn.ORCID 0000-0001-9929-8975
Jun WangCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. junwang@im.ac.cn.ORCID 0000-0002-8859-7707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-depth profiling of genetic variations in the gut microbiome is highly desired for understanding its functionality and impacts on host health and disease. Here, by harnessing the long read advantage provided by Oxford Nanopore Technology (ONT), we characterize fine-scale genetic variations of structural variations (SVs) in hundreds of gut microbiomes from healthy humans. ONT long reads dramatically improve the quality of metagenomic assemblies, enable reliable detection of a large, expanded set of structural variation types (notably including large insertions and inversions). We find SVs are highly distinct between individuals and stable within an individual, representing gut microbiome fingerprints that shape strain-level differentiations in function within species, complicating the associations to metabolites and host phenotypes such as blood glucose. In summary, our study strongly emphasizes that incorporating ONT reads into metagenomic analyses expands the detection scope of genetic variations, enables profiling strain-level variations in gut microbiome, and their intricate correlations with metabolome.

Indexed as

Gastrointestinal MicrobiomeNanoporesHigh-Throughput Nucleotide SequencingMetabolomeMetagenomeMetagenomics

Identifiers

PMID35676264
PMCPMC9177567

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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.