ReviewCurrent opinion in microbiology2019
Mechanisms of genome evolution in Candida albicans.
Review in Current opinion in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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.
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.
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Who cites it
26 citing papers in PubMed, 47 citations in OpenAlex.
- Phenotypic and genotypic differences between bloodstream and non-bloodMicrobiology spectrum · 2026Article
- Stress-driven emergence of heritable non-genetic drug resistance.Research square · 2025Article
- Beyond White-Nose Syndrome: Mitochondrial and Functional Genomics ofJournal of fungi (Basel, Switzerland) · 2025Article
- LivemBio · 2025Article
- Adaptive evolution ofmBio · 2025Article
- Uncovering the role of mitochondrial genome in pathogenicity and drug resistance in pathogenic fungi.Frontiers in cellular and infection microbiology · 2025Review
- Research advances and public health strategies in China on WHO priority fungal pathogens.Mycology · 2025Review
- Drivers of diversification in fungal pathogen populations.PLoS pathogens · 2024Review
- Evolution and strain diversity advance exploration ofmSphere · 2024Review
- Evaluation of antifungal activity of visible light-activated doped TiOPhotochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2024Article
- Patterns recovered in phylogenomic analysis ofMicrobial genomics · 2024Article
- Genomic epidemiology of antifungal resistance in human and avian isolates ofFrontiers in veterinary science · 2024Article
- Population genomic analyses reveal high diversity, recombination and nosocomial transmission amongMicrobial genomics · 2024Article
- Genome-Wide DNA Changes Acquired byMicroorganisms · 2023Article
- ThebioRxiv : the preprint server for biology · 2023Article
- Loss of Heterozygosity and Its Importance in Evolution.Journal of molecular evolution · 2023Review
- Genetic Diversity of Human Fungal Pathogens.Current clinical microbiology reports · 2023Article
- Candida albicans selection for human commensalism results in substantial within-host diversity without decreasing fitness for invasive disease.PLoS biology · 2023Article
- Aneuploidy and gene dosage regulate filamentation and host colonization byProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Amino acid substitutions in specific proteins correlate with farnesol unresponsiveness in Candida albicans.BMC genomics · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
The fungus Candida albicans exists as a prevalent commensal and an important opportunistic pathogen that can infect multiple niches of its human host. Recent studies have examined the diploid genome of C. albicans by performing both short-term microevolution studies and comparative genomics on collections of clinical isolates. Common mechanisms driving genome dynamics include accumulation of point mutations, loss of heterozygosity (LOH) events, large-scale chromosomal rearrangements, and even ploidy change, with important consequences for both drug resistance and host adaptation. Evidence for recombination between C. albicans lineages also highlights a role for (para)sex in shaping the species population structure. Ongoing work will continue to define the contributions of genome evolution to phenotypic variation and the role of host pressures in driving adaptive processes.
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Registered trials
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.