Comparative analyses of clinical and environmental populations of Cryptococcus neoformans in Botswana

Yuan Chen1,2, Anastasia P Litvintseva2, Aubrey E Frazzitta1

  • 1Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, 163 Hanes House, Trent Drive, Durham, NC, 27710, USA.

Molecular Ecology
|June 9, 2015
PubMed

Insights

Cryptococcus neoformans var. grubii causes fungal meningitis, especially in sub-Saharan Africa. This study reveals significant genetic diversity and geographic structure in southern African Cryptococcus neoformans var. grubii populations.

Area of Science:

  • Medical Mycology
  • Population Genetics
  • Infectious Diseases

Background:

  • Cryptococcus neoformans var. grubii (Cng) is a leading cause of fungal meningitis, particularly in sub-Saharan Africa.
  • Infection occurs via inhalation of airborne Cng spores or yeast cells from environmental sources like avian droppings, trees, and soil.

Purpose of the Study:

  • To investigate the prevalence and population structure of Cng in southern Africa.
  • To analyze genetic diversity and geographic distribution of Cng isolates from clinical and environmental sources.

Main Methods:

  • Analysis of 77 environmental samples and 64 patient isolates of Cng from southern Africa.
  • Assessment of genetic diversity, geographic structure, and mating-type allele distribution (MATa and MATα).
  • Evaluation of clonality and recombination patterns within different geographic areas.

Main Results:

  • Significant genetic diversity and local-level geographic structure were detected among Cng isolates.
  • High proportions of the rare MATa allele were found in both clinical and environmental isolates.
  • Mating-type alleles showed uneven distribution, with nearly equal MATa and MATα proportions in clinical isolates and one Botswana environmental subpopulation.

Conclusions:

  • Cng populations in southern Africa exhibit considerable genetic diversity and geographic structuring.
  • The distribution of mating-type alleles suggests complex population dynamics.
  • These findings lay the groundwork for future genomewide association studies to identify Cng pathogenicity factors.