Evidence map›Paper›PMID 21383989›Full record

ArticlePloS one2011

Clonality and α-a recombination in the Australian Cryptococcus gattii VGII population--an emerging outbreak in Australia.

Fabian Carriconde, Félix Gilgado, Ian Arthur, David Ellis, Richard Malik, Nathalie van de Wiele, Vincent Robert, Bart J Currie, Wieland Meyer

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Predictors of Cryptococcus gattii Clinical Presentation and Outcome: An International Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  2. Molecular epidemiological investigation ofMicrobiology spectrum · 2024
    Article
  3. Article
  4. Article
  5. Frontiers in microbiology · 2023
    Article
  6. Article
  7. A Possible Link between the Environment andInternational journal of environmental research and public health · 2022
    Article
  8. Distribution and Diversity ofMicroorganisms · 2021
    Article
  9. Cryptococcal meningitis in non-HIV patients in the State of Amazonas, Northern Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  10. Article
  11. CryptoType - Public Datasets for MALDI-TOF-MS Based Differentiation ofFrontiers in cellular and infection microbiology · 2021
    Article
  12. Review
  13. Article
  14. Clonal Dispersal ofJournal of fungi (Basel, Switzerland) · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Molecular characterisation and antifungal susceptibility of clinical Cryptococcus deuterogattii (AFLP6/VGII) isolates from Southern Brazil.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
    Article
  19. Article
  20. 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

9 authors.

Fabian CarricondeSydney Emerging Infections and Biosecurity Institute, The University of Sydney, Sydney, New South Wales, Australia.
Félix Gilgado
Ian Arthur
David Ellis
Richard Malik
Nathalie van de Wiele
Vincent Robert
Bart J Currie
Wieland Meyer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptococcus gattii is a basidiomycetous yeast that causes life-threatening disease in humans and animals. Within C. gattii, four molecular types are recognized (VGI to VGIV). The Australian VGII population has been in the spotlight since 2005, when it was suggested as the possible origin for the ongoing outbreak at Vancouver Island (British Columbia, Canada), with same-sex mating being suggested as the driving force behind the emergence of this outbreak, and is nowadays hypothesized as a widespread phenomenon in C. gattii. However, an in-depth characterization of the Australian VGII population is still lacking. The present work aimed to define the genetic variability within the Australian VGII population and determine processes shaping its population structure. METHODOLOGY/PRINCIPAL

findingsA total of 54 clinical, veterinary and environmental VGII isolates from different parts of the Australian continent were studied. To place the Australian population in a global context, 17 isolates from North America, Europe, Asia and South America were included. Genetic variability was assessed using the newly adopted international consensus multi-locus sequence typing (MLST) scheme, including seven genetic loci: CAP59, GPD1, LAC1, PLB1, SOD1, URA5 and IGS1. Despite the overall clonality observed, the presence of MATa VGII isolates in Australia was demonstrated for the first time in association with recombination in MATα-MATa populations. Our results also support the hypothesis of a "smouldering" outbreak throughout the Australian continent, involving a limited number of VGII genotypes, which is possibly caused by a founder effect followed by a clonal expansion. CONCLUSIONS/SIGNIFICANCE: The detection of sexual recombination in MATα-MATa population in Australia is in accordance with the natural life cycle of C. gattii involving opposite mating types and presents an alternative to the same-sex mating strategy suggested elsewhere. The potential for an Australian wide outbreak highlights the crucial issue to develop active surveillance procedures.

Indexed as

AnimalsAustraliaCell ProliferationClone CellsCryptococcosisCryptococcus gattiiDisease OutbreaksGene FrequencyGenes, Mating Type, FungalGenetic VariationGeographyHumansLinkage DisequilibriumRecombination, GeneticReproduction, Asexual

Identifiers

PMID21383989
PMCPMC3044715

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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.