Evidence map›Paper›PMID 29902201›Full record

ArticlePloS one2018

When old metagenomic data meet newly sequenced genomes, a case study.

Xin Li, Saleh A Naser, Annette Khaled, Haiyan Hu, Xiaoman Li

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
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.

Xin LiDepartment of Computer Science, University of Central Florida, Orlando, Florida, United States of America.
Saleh A NaserBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, Florida, United States of America.
Annette KhaledBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, Florida, United States of America.
Haiyan HuDepartment of Computer Science, University of Central Florida, Orlando, Florida, United States of America.
Xiaoman LiBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, Florida, United States of America.ORCID 0000-0002-4065-723X

Funding

Bacterial haplotype reconstruction directly from next generation sequencing readsR15GM123407 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI LI, XIAOMAN · 2017 to 2017
$371k
NIGMS NIH HHS R15 GM123407
6 · The paper itself

Abstract

Dozens of computational methods are developed to identify species present in a metagenomic dataset. Many of these computational methods depend on available sequenced microbial species, which are still far from being representative. To see how newly sequenced genomes affect the analysis results, we re-analyzed a shotgun metagenomic dataset composed of twelve colitis free metagenomic samples and ten colitis-related metagenomic samples. Unexpectedly, we identified at least two new phyla that may relate to colitis development in patients, together with the phylum identified previously. Compared with the previously identified phylum that differed between the two types of samples, the differences associated with the two new phyla are statistically more significant. Moreover, the abundance of the two new phyla correlates more with the severity of colitis. Surprisingly, even by repeating the analyses implemented in the previous study, we found that at least one main conclusion in the previous study is not supported. Our study indicates the importance of re-analysis of the generated metagenomic datasets and the necessity of considering multiple updated tools in metagenomic studies. It also sheds light on the limitations of the popular tools used currently and the importance to infer the presence of taxa without relying upon available sequenced genomes.

Indexed as

MetagenomeMetagenomicsWhole Genome SequencingColitisFecesGastrointestinal MicrobiomeHumans

Identifiers

PMID29902201
PMCPMC6002052

What OpenQuestion holds

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LicenceCC BY
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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.