Evidence map›Paper›PMID 36008577›Full record

ArticleScientific reports2022

A revisit to universal single-copy genes in bacterial genomes.

Saidi Wang, Minerva Ventolero, Haiyan Hu, Xiaoman Li

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  8. Article
  9. Protein-Coding Gene Families in Prokaryote Genome Comparisons.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. 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

4 authors.

Saidi Wang *Department of Computer Science, University of Central Florida, Orlando, FL, USA.
Minerva Ventolero *Burnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL, USA.
Haiyan HuDepartment of Computer Science, University of Central Florida, Orlando, FL, USA. haihu@cs.ucf.edu.
Xiaoman LiBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL, USA. xiaoman@mail.ucf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Universal single-copy genes (USCGs) are widely used for species classification and taxonomic profiling. Despite many studies on USCGs, our understanding of USCGs in bacterial genomes might be out of date, especially how different the USCGs are in different studies, how well a set of USCGs can distinguish two bacterial species, whether USCGs can separate different strains of a bacterial species, to name a few. To fill the void, we studied USCGs in the most updated complete bacterial genomes. We showed that different USCG sets are quite different while coming from highly similar functional categories. We also found that although USCGs occur once in almost all bacterial genomes, each USCG does occur multiple times in certain genomes. We demonstrated that USCGs are reliable markers to distinguish different species while they cannot distinguish different strains of most bacterial species. Our study sheds new light on the usage and limitations of USCGs, which will facilitate their applications in evolutionary, phylogenomic, and metagenomic studies.

Indexed as

Biological EvolutionGenome, BacterialBacteriaGenes, BacterialMetagenomicsPhylogeny

Identifiers

PMID36008577
PMCPMC9411617

What OpenQuestion holds

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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.