Evidence map›Paper›PMID 33097502›Full record

ArticleApplied and environmental microbiology2020

Nonsynonymous Polymorphism Counts in Bacterial Genomes: a Comparative Examination.

Sara L Loo, Anna Ong, Wunna Kyaw, Loïc M Thibaut, Ruiting Lan, Mark M Tanaka

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied and environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Dynamics of dN/dS within recombining bacterial populations.bioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Reversions mask the contribution of adaptive evolution in microbiomes.bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Molecular Insight intoPharmaceuticals (Basel, Switzerland) · 2022
    Article
  6. 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

6 authors.

Sara L LooSchool of Biotechology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia sara.loo@unsw.edu.au.ORCID 0000-0001-9763-5587
Anna OngSchool of Biotechology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.
Wunna KyawSchool of Biotechology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.
Loïc M ThibautSchool of Biotechology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0003-3813-682X
Ruiting LanSchool of Biotechology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.
Mark M TanakaSchool of Biotechology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic data reveal single-nucleotide polymorphisms (SNPs) that may carry information about the evolutionary history of bacteria. However, it remains unclear what inferences about selection can be made from genomic SNP data. Bacterial species are often sampled during epidemic outbreaks or within hosts during the course of chronic infections. SNPs obtained from genomic analysis of these data are not necessarily fixed. Treating them as fixed during analysis by using measures such as the ratio of nonsynonymous to synonymous evolutionary changes (

Indexed as

Genome, BacterialPolymorphism, Single NucleotideWhole Genome SequencingBacteriaBiological EvolutiondN/dSnonsynonymouspathogenselectionwhole-genome sequencing

Identifiers

PMID33097502
PMCPMC7755258

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.