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Related Concept Videos

Fungal Phylum Microsporidia01:28

Fungal Phylum Microsporidia

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Microsporidia are a group of obligate intracellular fungi that were initially classified as protists but were later reclassified based on phylogenetic, molecular, and structural evidence linking them to the Chytridiomycota. These unicellular, non-motile organisms are highly specialized parasites that infect a wide range of animal hosts, including humans. They have evolved extensive genomic and metabolic reductions, making them highly dependent on their hosts for survival.Morphology and Genomic...
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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Genetic diversity and microevolution in clinical Cryptococcus isolates from Cameroon.

Poppy Sephton-Clark1, Elvis Temfack2,3, Jennifer L Tenor4

  • 1Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Medical Mycology
|November 12, 2023
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Summary
This summary is machine-generated.

Cryptococcal meningitis genetic diversity varies between Malawi and Cameroon. Cryptococcus isolates show microevolution and mixed infections during HIV/AIDS treatment.

Keywords:
CryptococcusGWASgenome sequencingintrahost diversityphylogeography

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Area of Science:

  • Medical Microbiology
  • Genomics
  • Infectious Diseases

Background:

  • Cryptococcal meningitis is a leading cause of death in individuals with HIV/AIDS.
  • Understanding cryptococcal isolate evolution during infection is limited.
  • Environmental acquisition and geographic origin influence cryptococcal genetic diversity.

Purpose of the Study:

  • To compare population genetics of cryptococcal isolates between Malawi and Cameroon.
  • To investigate genetic changes and diversity within patients during infection.
  • To identify geographic-linked genetic variation and microevolutionary signatures.

Main Methods:

  • Whole genome sequencing of 372 clinical Cryptococcus isolates from 341 patients with HIV-associated cryptococcal meningitis.
  • Population genetic comparisons between isolates from Malawi and Cameroon.
  • Longitudinal sampling (days 7 and 14) from 22 Cameroonian patients to study intra-patient evolution.

Main Results:

  • Cameroonian isolates were more clonal than Malawian isolates.
  • Differential rates of disruptive variants were observed in genes related to DNA binding and energy metabolism.
  • Disruptive variants arose during infection in genes like GAT204.
  • Mixed infections were detected in 13% of longitudinally sampled patients.

Conclusions:

  • Geographically linked genetic variation and microevolutionary signatures were identified in cryptococcal meningitis.
  • Evidence for mixed infections during the course of cryptococcal meningitis in Central Africa was found.
  • Genetic diversity of Cryptococcus isolates impacts patient outcomes in HIV/AIDS.