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Gene Essentiality Analyzed by In Vivo Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of Candida albicans
Open accessAbstract
Comprehensive understanding of an organism requires that we understand the contributions of most, if not all, of its genes. Classical genetic approaches to this issue have involved systematic deletion of each gene in the genome, with comprehensive sets of mutants available only for very-well-studied model organisms. We took a different approach, harnessing the power of in vivo transposition coupled with deep sequencing to identify >500,000 different mutations, one per cell, in the prevalent human fungal pathogen Candida albicans and to map their positions across the genome. The transposition approach is efficient and less labor-intensive than classic approaches. Here, we describe the production and analysis (aided by machine learning) of a large collection of mutants and the comprehensive identification of 1,610 C. albicans genes that are essential for growth under standard laboratory conditions. Among these C. albicans essential genes, we identify those that are also essential in two distantly related model yeasts as well as those that are conserved in all four major human fungal pathogens and that are not conserved in the human genome. This list of genes with functions important for the survival of the pathogen provides a good starting point for the development of new antifungal drugs, which are greatly needed because of the emergence of fungal pathogens with elevated resistance and/or tolerance of the currently limited set of available antifungal drugs.
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![Fig 1 Strain and Tn library construction. (A) Growth curves for strains are indicated as follows: blue, diploid (SC5314); red, haploid MATa parent (YJB-T900); yellow, +Ac (YJB-T 1792); pink, +Ac+Ds(1) (YJB-T1081) (growth of YJB-T1082 [also +Ac+Ds] was indistinguishable from that of YJB-T1081); orange, haploid I (9); green, haploid XI (9). All growth curve analyses were performed in triplicate, with standard deviations ranging from 0 to 0.05. OD, optical density. (B) Summary of DNA content for multiple isolates for each strain (n = 24) [+Ds (YJB-T1794); MATα haploid parent YJB-T257; +Ac+Ds(3); YJB-T2743]. (C and D) Flow cytometric DNA content for strain YJB-T1081 before (C) and after (D) excision of Ds-NAT1. (E) Schematic of transposon mutant library preparation process.](/paper-figures/2dfc54be27d0425b84ef70c6502343e1/gene-essentiality-analyzed-by-i-in-vivo-i-transposon-mutagenesis-and-machine-figure-1.jpg)





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“In several fungal species, including the model yeast Saccharomyces cerevisiae and the distantly related fungal pathogen C. albicans, it is estimated that ∼20% of the open reading frames in their genomes are essential (Winzeler et al. 1999; Segal et al. 2018).”
From Genetic analysis of Hsp90 function in Cryptococcus neoformans highlights key roles in stress tolerance and virulence (2022) · cites this paper as Segal et al. 2018
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Drug resistance and tolerance in fungi.
Berman, J., & Krysan, D. J. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0322-2 · Cited by 642
Self-citationThe importance of antimicrobial resistance in medical mycology
Gow, N. A. R., Johnson, C., Berman, J. G., Coste, A. T., Cuomo, C. A., Perlin, D. S., Bicanic, T. A., Harrison, T. S., Wiederhold, N. P., Bromley, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32249-5 · Cited by 232
Self-citationCandida albicans and Candida glabrata : global priority pathogens
Katsipoulaki, M., Stappers, M. H. T., Malavia-Jones, D., Brunke, S., Hube, B., & Gow, N. A. R. (2024) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00021-23 · Cited by 180
Self-citationExtensive loss of cell-cycle and DNA repair genes in an ancient lineage of bipolar budding yeasts
Steenwyk, J. L., Opulente, D. A., Kominek, J., Shen, X.-X., Zhou, X., Labella, A. L., Bradley, N. P., Eichman, B. F., Čadež, N., Libkind, D., et al. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000255 · Cited by 162
“cerevisiae [64], and 73% of Candida albicans [65] genes are 459 dispensable in laboratory conditions.”
BackgroundSelf-citationFrom Jekyll to Hyde: The Yeast–Hyphal Transition of Candida albicans
Chow, E. W. L., Pang, L. M., & Wang, Y. (2021) · Pathogens · doi:10.3390/pathogens10070859 · Cited by 154
Metadata
- Authors
- Segal, E. S., Gritsenko, V., Levitan, A., Yadav, B., Dror, N., Steenwyk, J. L., Silberberg, Y., Mielich, K., Rokas, A., Gow, N. A. R., Kunze, R., Sharan, R., & Berman, J.
- Affiliations
- Tel Aviv University (IL)
- University of Aberdeen (GB)
- Vanderbilt University (US)
- Freie Universität Berlin (DE)
- Corresponding author
- Berman, Judith
- ORCID
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2018-11-07
- Volume
- 9
- Issue
- 5
- ISSN
- 2150-7511 (ISSN-L)
- 2161-2129
- PMC
- PMC6212825
- OpenAlex
- W2898801056
- Cited by
- 150
- References
- 105
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 18 · 2023: 9 · 2022: 21 · 2021: 20 · 2020: 26 · 2019: 24 · 2018: 1
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion, cc-by)
- Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver (cc-by)
- Funders
- Wellcome Trust (086827 075470 101873 200208)
- MRC Center for Medical Mycology (N006364/1)
- European Research Council (340087 RAPLODAPT)
- Dahlem Center of Plant Sciences (DCPS)
- Israel Science Foundation (715/18)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- gene essentiality, Candida albicans, transposon mutagenesis, essential genes, fungal pathogens, antifungal drug targets, machine learning, deep sequencing
- MeSH terms
- Machine Learning, Aspergillus fumigatus, Candida albicans, Cryptococcus neoformans, DNA Transposable Elements, Genes, Fungal, Genetics, Microbial, Haploidy, Histoplasma, Mutagenesis, Insertional, Genes, Essential
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