Evidence map›Paper›PMID 30344637›Full record

ArticleEvolutionary applications2018

Broad thermal tolerance is negatively correlated with virulence in an opportunistic bacterial pathogen.

Roghaieh Ashrafi, Matthieu Bruneaux, Lotta-Riina Sundberg, Katja Pulkkinen, Janne Valkonen, Tarmo Ketola

Abstract read
In one paragraph

Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Climate-mediated food safety hazards of aquaculture.Environmental research. Food systems · 2026
    Article
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  6. Review
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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

6 authors.

Roghaieh AshrafiDepartment of Biological and Environmental Science (and Nanoscience Center) Centre of Excellence in Biological Interactions University of Jyväskylä Jyväskylä Finland.ORCID 0000-0001-8224-5893
Matthieu BruneauxDepartment of Biological and Environmental Science (and Nanoscience Center) Centre of Excellence in Biological Interactions University of Jyväskylä Jyväskylä Finland.
Lotta-Riina SundbergDepartment of Biological and Environmental Science (and Nanoscience Center) Centre of Excellence in Biological Interactions University of Jyväskylä Jyväskylä Finland.ORCID 0000-0003-3510-4398
Katja PulkkinenDepartment of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland.
Janne ValkonenDepartment of Biological and Environmental Science (and Nanoscience Center) Centre of Excellence in Biological Interactions University of Jyväskylä Jyväskylä Finland.
Tarmo KetolaDepartment of Biological and Environmental Science (and Nanoscience Center) Centre of Excellence in Biological Interactions University of Jyväskylä Jyväskylä Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the effects of global increase in temperatures on disease virulence is challenging, especially for environmental opportunistic bacteria, because pathogen fitness may be differentially affected by temperature within and outside host environment. So far, there is very little empirical evidence on the connections between optimal temperature range and virulence in environmentally growing pathogens. Here, we explored whether the virulence of an environmentally growing opportunistic fish pathogen,

Indexed as

climate changeopportunistic pathogenthermal performance curvesthermal tolerancevirulence

Identifiers

PMID30344637
PMCPMC6183471

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.