Evidence map›Paper›PMID 38867906›Full record

ArticleiMeta2022

MetaTrass: A high-quality metagenome assembler of the human gut microbiome by cobarcoding sequencing reads.

Yanwei Qi, Shengqiang Gu, Yue Zhang, Lidong Guo, Mengyang Xu, Xiaofang Cheng, Ou Wang, Ying Sun, Jianwei Chen, Xiaodong Fang and 3 more

Erratum issuedAbstract read
In one paragraph

Article in iMeta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Yanwei QiBGI-Qingdao BGI-Shenzhen Qingdao China.
Shengqiang GuBGI-Qingdao BGI-Shenzhen Qingdao China.
Yue ZhangBGI-Qingdao BGI-Shenzhen Qingdao China.
Lidong GuoBGI-Qingdao BGI-Shenzhen Qingdao China.
Mengyang XuBGI-Qingdao BGI-Shenzhen Qingdao China.
Xiaofang ChengBGI-Shenzhen BGI-Shenzhen Shenzhen China.
Ou WangBGI-Shenzhen BGI-Shenzhen Shenzhen China.
Ying SunBGI-Qingdao BGI-Shenzhen Qingdao China.
Jianwei ChenBGI-Qingdao BGI-Shenzhen Qingdao China.
Xiaodong FangBGI-Shenzhen BGI-Shenzhen Shenzhen China.
Xin LiuBGI-Qingdao BGI-Shenzhen Qingdao China.
Li DengBGI-Qingdao BGI-Shenzhen Qingdao China.ORCID 0000-0001-8622-1725
Guangyi FanBGI-Qingdao BGI-Shenzhen Qingdao China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomic evidence of great genetic diversity within the nonconserved regions of the human gut microbial genomes appeals for new methods to elucidate the species-level variability at high resolution. However, current approaches cannot satisfy this methodologically challenge. In this study, we proposed an efficient binning-first-and-assembly-later strategy, named MetaTrass, to recover high-quality species-resolved genomes based on public reference genomes and the single-tube long fragment read (stLFR) technology, which enables cobarcoding. MetaTrass can generate genomes with longer contiguity, higher completeness, and lower contamination than those produced by conventional assembly-first-and-binning-later strategies. From a simulation study on a mock microbial community, MetaTrass showed the potential to improve the contiguity of assembly from kb to Mb without accuracy loss, as compared to other methods based on the next-generation sequencing technology. From four human fecal samples, MetaTrass successfully retrieved 178 high-quality genomes, whereas only 58 ones were provided by the optimal performance of other conventional strategies. Most importantly, these high-quality genomes confirmed the high level of genetic diversity among different samples and unveiled much more. MetaTrass was designed to work with metagenomic reads sequenced by stLFR technology, but is also applicable to other types of cobarcoding libraries. With the high capability of assembling high-quality genomes of metagenomic data sets, MetaTrass seeks to facilitate the study of spatial characters and dynamics of complex microbial communities at enhanced resolution. The open-source code of MetaTrass is available at https://github.com/BGI-Qingdao/MetaTrass.

Indexed as

metagenome assemblymicrobiome compositionsynthetic long readstaxonomic binning

Identifiers

PMID38867906
PMCPMC10989976

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.