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Record W1993548583 · doi:10.1128/mbio.00342-10

Genome Variation in Cryptococcus gattii, an Emerging Pathogen of Immunocompetent Hosts

2011· article· en· W1993548583 on OpenAlexafffund
Cletus A. D’Souza, James W. Kronstad, Greg Taylor, René L. Warren, Macaire M. S. Yuen, Guanggan Hu, Won Hee Jung, Ahmed Abu SHAM, Sarah Kidd, Kristin L. Tangen, N. Lee, Tieme Zeilmaker, J. Sawkins, Gareth McVicker, Sohrab P. Shah, Sante Gnerre, Allison Griggs, Qing‐Yin Zeng, Karen H. Bartlett, Wenhong Li, X. Wang, Joseph Heitman, Jason Stajich, James A. Fraser, Wieland Meyer, Dee Carter, Jacqueline E. Schein, Martin Krzywinski, Kyung J. Kwon‐Chung, Ashok K. Varma, Joyce Wang, Robert C. Brunham, Murray Fyfe, B. F. Francis Ouellette, Asim Siddiqui, Marco A. Marra, Steven J.M. Jones, Robert A. Holt, Bruce W. Birren, James E. Galagan, Christina A. Cuomo

Bibliographic record

VenuemBio · 2011
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsOntario Institute for Cancer ResearchUniversity of British ColumbiaIsland HealthBC Centre for Disease ControlBC Cancer AgencyCanada's Michael Smith Genome Sciences Centre
FundersNational Human Genome Research InstituteMedical Research CouncilNational Institutes of HealthBritish Columbia Centre for Disease ControlGenome British ColumbiaNational Institute of Allergy and Infectious DiseasesNational Health and Medical Research CouncilBroad InstituteCanadian Institutes of Health ResearchGenome CanadaHoward Hughes Medical Institute
KeywordsCryptococcus gattiiBiologyGenomeCryptococcus neoformansGeneticsCryptococcosisVirulenceGenotypePhylogenetic treeGeneMicrobiology

Abstract

fetched live from OpenAlex

ABSTRACT Cryptococcus gattii recently emerged as the causative agent of cryptococcosis in healthy individuals in western North America, despite previous characterization of the fungus as a pathogen in tropical or subtropical regions. As a foundation to study the genetics of virulence in this pathogen, we sequenced the genomes of a strain (WM276) representing the predominant global molecular type (VGI) and a clinical strain (R265) of the major genotype (VGIIa) causing disease in North America. We compared these C. gattii genomes with each other and with the genomes of representative strains of the two varieties of Cryptococcus neoformans that generally cause disease in immunocompromised people. Our comparisons included chromosome alignments, analysis of gene content and gene family evolution, and comparative genome hybridization (CGH). These studies revealed that the genomes of the two representative C. gattii strains (genotypes VGI and VGIIa) are colinear for the majority of chromosomes, with some minor rearrangements. However, multiortholog phylogenetic analysis and an evaluation of gene/sequence conservation support the existence of speciation within the C. gattii complex. More extensive chromosome rearrangements were observed upon comparison of the C. gattii and the C. neoformans genomes. Finally, CGH revealed considerable variation in clinical and environmental isolates as well as changes in chromosome copy numbers in C. gattii isolates displaying fluconazole heteroresistance. IMPORTANCE Isolates of Cryptococcus gattii are currently causing an outbreak of cryptococcosis in western North America, and most of the cases occurred in the absence of coinfection with HIV. This pattern is therefore in stark contrast to the current global burden of one million annual cases of cryptococcosis, caused by the related species Cryptococcus neoformans , in the HIV/AIDS population. The genome sequences of two outbreak-associated major genotypes of C. gattii reported here provide insights into genome variation within and between cryptococcal species. These sequences also provide a resource to further evaluate the epidemiology of cryptococcal disease and to evaluate the role of pathogen genes in the differential interactions of C. gattii and C. neoformans with immunocompromised and immunocompetent hosts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.281
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations215
Published2011
Admission routes2
Has abstractyes

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