Evidence map›Paper›PMID 34874243›Full record

ArticleMicrobial genomics2021

SNPPar: identifying convergent evolution and other homoplasies from microbial whole-genome alignments.

David J Edwards, Sebastián Duchene, Bernard Pope, Kathryn E Holt

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

22 citing papers in PubMed, 24 citations in OpenAlex.

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  14. Phase variation as a major mechanism of adaptation inProceedings of the National Academy of Sciences of the United States of America · 2023
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  17. Mutation rates and adaptive variation among the clinically dominant clusters ofProceedings of the National Academy of Sciences of the United States of America · 2023
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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 at 4 institutions in 2 countries.

David J EdwardsDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Sebastián DucheneDepartment of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth Street, Melbourne, Victoria, Australia.
Bernard PopeMelbourne Bioinformatics, The University of Melbourne, 187 Grattan Street, Carlton, Victoria, Australia.
Kathryn E HoltDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
London School of Hygiene & Tropical Medicine · GBMonash University · AUThe Royal Melbourne Hospital · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homoplasic SNPs are considered important signatures of strong (positive) selective pressure, and hence of adaptive evolution for clinically relevant traits such as antibiotic resistance and virulence. Here we present a new tool, SNPPar, for efficient detection and analysis of homoplasic SNPs from large whole genome sequencing datasets (>1000 isolates and/or >100 000 SNPs). SNPPar takes as input an SNP alignment, tree and annotated reference genome, and uses a combination of simple monophyly tests and ancestral state reconstruction (ASR, via TreeTime) to assign mutation events to branches and identify homoplasies. Mutations are annotated at the level of codon and gene, to facilitate analysis of convergent evolution. Testing on simulated data (120

Indexed as

Polymorphism, Single NucleotideBurkholderiaComputational BiologyDatabases, GeneticFlavobacteriaceaeGenome, BacterialMolecular Sequence AnnotationMutationMycobacterium tuberculosisPhylogenySelection, GeneticSequence AlignmentSoftwareWhole Genome Sequencingbacteriaevolutionhomoplasyphylogeny

Identifiers

PMID34874243
PMCPMC8767352
OpenAlexW4225492844

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.