Evidence map›Paper›PMID 26684722›Full record

ReviewFEMS yeast research2016

The birth of a deadly yeast: tracing the evolutionary emergence of virulence traits in Candida glabrata.

Toni Gabaldón, Laia Carreté

Abstract readReview
In one paragraph

Review in FEMS yeast research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. EditingBiomolecules · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Comparative Evaluation ofBiomedicines · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Journal of fungi (Basel, Switzerland) · 2022
    Article
  20. Review
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

2 authors.

Toni GabaldónBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain tgabaldon@crg.es.
Laia CarretéBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain.

Funding

European Research Council 310325
6 · The paper itself

Abstract

The yeast Candida glabrata is an opportunistic human fungal pathogen whose incidence has increased in the last two decades. Despite its name, this yeast is only distantly related to the model fungal pathogen C. albicans, and more closely related to Saccharomyces cerevisiae and other yeasts that underwent an ancient whole-genome duplication. Understanding what specific traits make C. glabrata a successful opportunistic pathogen within a clade of mostly innocuous yeasts, and how these compare to virulence traits in distant pathogens such as C. albicans is a focus of intense research. From an evolutionary perspective, uncovering how the ability to infect humans has emerged multiple, independent times in different lineages may reveal new disease mechanisms and provide us with the capacity to predict which genomic features in a clade may confer a higher potential to develop virulence against humans.

Indexed as

Evolution, MolecularCandida glabrataCandidiasisHumansVirulence FactorsVirulence FactorsCandidaCandida glabrataevolutionNakaseomycesvirulence

Identifiers

PMID26684722
PMCPMC5815135

What OpenQuestion holds

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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.