Evidence map›Paper›PMID 25184292›Full record

ArticlePloS one2014

A user's guide to a data base of the diversity of Pseudomonas syringae and its application to classifying strains in this phylogenetic complex.

Odile Berge, Caroline L Monteil, Claudia Bartoli, Charlotte Chandeysson, Caroline Guilbaud, David C Sands, Cindy E Morris

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing 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

109 citing papers in PubMed.

  1. Review
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  13. Characterization ofApplied and environmental microbiology · 2025
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  20. From cantaloupe to cattle:International journal of systematic and evolutionary microbiology · 2025
    Article

49 more citing papers are in PubMed but not listed here.

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

7 authors.

Odile BergeINRA, UR0407 Pathologie Végétale, Montfavet, France.
Caroline L MonteilINRA, UR0407 Pathologie Végétale, Montfavet, France.
Claudia BartoliINRA, UR0407 Pathologie Végétale, Montfavet, France; Department of Science and Technology for Agriculture, Forestry, Nature and Energy (DAFNE), Tuscia University, Viterbo, Italy.
Charlotte ChandeyssonINRA, UR0407 Pathologie Végétale, Montfavet, France.
Caroline GuilbaudINRA, UR0407 Pathologie Végétale, Montfavet, France.
David C SandsDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, Montana, United States of America.
Cindy E MorrisINRA, UR0407 Pathologie Végétale, Montfavet, France; Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, Montana, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pseudomonas syringae complex is composed of numerous genetic lineages of strains from both agricultural and environmental habitats including habitats closely linked to the water cycle. The new insights from the discovery of this bacterial species in habitats outside of agricultural contexts per se have led to the revelation of a wide diversity of strains in this complex beyond what was known from agricultural contexts. Here, through Multi Locus Sequence Typing (MLST) of 216 strains, we identified 23 clades within 13 phylogroups among which the seven previously described P. syringae phylogroups were included. The phylogeny of the core genome of 29 strains representing nine phylogroups was similar to the phylogeny obtained with MLST thereby confirming the robustness of MLST-phylogroups. We show that phenotypic traits rarely provide a satisfactory means for classification of strains even if some combinations are highly probable in some phylogroups. We demonstrate that the citrate synthase (cts) housekeeping gene can accurately predict the phylogenetic affiliation for more than 97% of strains tested. We propose a list of cts sequences to be used as a simple tool for quickly and precisely classifying new strains. Finally, our analysis leads to predictions about the diversity of P. syringae that is yet to be discovered. We present here an expandable framework mainly based on cts genetic analysis into which more diversity can be integrated.

Indexed as

Genes, BacterialGenome, BacterialPhylogenyPseudomonas syringaeBase SequenceCitrate (si)-SynthaseDatabases, GeneticEcosystemGenes, EssentialGenetic VariationGenotypeMolecular Sequence DataMultilocus Sequence TypingPhenotypeCitrate (si)-Synthase

Identifiers

PMID25184292
PMCPMC4153583

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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.