Evidence map›Paper›PMID 27862555›Full record

ArticleMolecular ecology2017

Genomic epidemiology of Cryptococcus yeasts identifies adaptation to environmental niches underpinning infection across an African HIV/AIDS cohort.

Mathieu Vanhove, Mathew A Beale, Johanna Rhodes, Duncan Chanda, Shabir Lakhi, Geoffrey Kwenda, Sile Molloy, Natasha Karunaharan, Neil Stone, Thomas S Harrison and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

37 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Current Approaches in Genome Assembly of Human Fungal Pathogens.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
  6. Emerging Antifungal Resistance in Fungal Pathogens.Current clinical microbiology reports · 2024
    Review
  7. Article
  8. Article
  9. A Landscape of the Genomic Structure ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Recent Trends in the Epidemiology of Fungal Infections.Infectious disease clinics of North America · 2021
    Review
  18. Article
  19. Review
  20. Occurrence ofGerms · 2020
    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

12 authors at 3 institutions in 2 countries.

Mathieu VanhoveDepartment of Infectious Disease Epidemiology, St Mary's Hospital, Imperial College London, London, W2 1PG, UK.
Mathew A BealeDepartment of Infectious Disease Epidemiology, St Mary's Hospital, Imperial College London, London, W2 1PG, UK.
Johanna RhodesDepartment of Infectious Disease Epidemiology, St Mary's Hospital, Imperial College London, London, W2 1PG, UK.
Duncan ChandaSchool of Medicine, University of Zambia, Nationalist Road, PO Box 50110, Lusaka, Zambia.
Shabir LakhiSchool of Medicine, University of Zambia, Nationalist Road, PO Box 50110, Lusaka, Zambia.
Geoffrey KwendaDepartment of Biomedical Sciences, University of Zambia, PO Box 32379, Lusaka, Zambia.
Sile MolloyInstitute of Infection and Immunity, St. George's University of London, Blackshaw Road, London SW17 0QT, UK.
Natasha KarunaharanInstitute of Infection and Immunity, St. George's University of London, Blackshaw Road, London SW17 0QT, UK.
Neil StoneInstitute of Infection and Immunity, St. George's University of London, Blackshaw Road, London SW17 0QT, UK.
Thomas S HarrisonInstitute of Infection and Immunity, St. George's University of London, Blackshaw Road, London SW17 0QT, UK.
Tihana BicanicInstitute of Infection and Immunity, St. George's University of London, Blackshaw Road, London SW17 0QT, UK.
Matthew C FisherDepartment of Infectious Disease Epidemiology, St Mary's Hospital, Imperial College London, London, W2 1PG, UK.
St George's, University of London · GBImperial College London · GBUniversity of Zambia · ZM

Funding

Medical Research Council G1100814
6 · The paper itself

Abstract

Emerging infections caused by fungi have become a widely recognized global phenomenon and are causing an increasing burden of disease. Genomic techniques are providing new insights into the structure of fungal populations, revealing hitherto undescribed fine-scale adaptations to environments and hosts that govern their emergence as infections. Cryptococcal meningitis is a neglected tropical disease that is responsible for a large proportion of AIDS-related deaths across Africa; however, the ecological determinants that underlie a patient's risk of infection remain largely unexplored. Here, we use genome sequencing and ecological genomics to decipher the evolutionary ecology of the aetiological agents of cryptococcal meningitis, Cryptococcus neoformans and Cryptococcus gattii, across the central African country of Zambia. We show that the occurrence of these two pathogens is differentially associated with biotic (macroecological) and abiotic (physical) factors across two key African ecoregions, Central Miombo woodlands and Zambezi Mopane woodlands. We show that speciation of Cryptococcus has resulted in adaptation to occupy different ecological niches, with C. neoformans found to occupy Zambezi Mopane woodlands and C. gattii primarily recovered from Central Miombo woodlands. Genome sequencing shows that C. neoformans causes 95% of human infections in this region, of which over three-quarters belonged to the globalized lineage VNI. We show that VNI infections are largely associated with urbanized populations in Zambia. Conversely, the majority of C. neoformans isolates recovered in the environment belong to the genetically diverse African-endemic lineage VNB, and we show hitherto unmapped levels of genomic diversity within this lineage. Our results reveal the complex evolutionary ecology that underpins the reservoirs of infection for this, and likely other, deadly pathogenic fungi.

Indexed as

ForestsAdaptation, PhysiologicalCryptococcus gattiiCryptococcus neoformansDNA Barcoding, TaxonomicDNA, FungalDNA, Ribosomal SpacerGenetics, PopulationGenome, FungalGenomicsHumansMeningitis, CryptococcalModels, BiologicalPhylogenyPlant BarkPolymorphism, Single NucleotideDNA, FungalDNA, Ribosomal SpacerCryptococcus neoformansecological geneticsfungimicrobial ecologyniche modelling

Identifiers

PMID27862555
PMCPMC5412878
OpenAlexW2538524704

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.