Evidence map›Paper›PMID 25474009›Full record

ArticlePLoS genetics2014

Microevolution of Candida albicans in macrophages restores filamentation in a nonfilamentous mutant.

Anja Wartenberg, Jörg Linde, Ronny Martin, Maria Schreiner, Fabian Horn, Ilse D Jacobsen, Sabrina Jenull, Thomas Wolf, Karl Kuchler, Reinhard Guthke and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

59 citing papers in PubMed, 84 citations in OpenAlex.

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  15. Microevolution during Chronic Infection May LeadDermatology research and practice · 2024
    Article
  16. Article
  17. The Yeast and Hypha Phases ofAnimals : an open access journal from MDPI · 2023
    Article
  18. Article
  19. Article
  20. 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

15 authors at 5 institutions in 4 countries.

Anja WartenbergDepartment of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany.
Jörg LindeResearch Group Systems Biology & Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany.
Ronny MartinSeptomics Research Center, Friedrich Schiller University and Leibniz Institute for Natural Product Research and Infection Biology -Hans Knoell Institute, Jena, Germany.
Maria SchreinerDepartment of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany.
Fabian HornResearch Group Systems Biology & Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany.
Ilse D JacobsenDepartment of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany; Research Group Microbial Immunology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany.
Sabrina JenullMedical University Vienna, Max F. Perutz Laboratories, Department of Medical Biochemistry, Vienna, Austria.
Thomas WolfResearch Group Systems Biology & Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany.
Karl KuchlerMedical University Vienna, Max F. Perutz Laboratories, Department of Medical Biochemistry, Vienna, Austria.
Reinhard GuthkeResearch Group Systems Biology & Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany.
Oliver KurzaiSeptomics Research Center, Friedrich Schiller University and Leibniz Institute for Natural Product Research and Infection Biology -Hans Knoell Institute, Jena, Germany.
Anja ForcheDepartment of Biology, Bowdoin College, Brunswick, Maine, United States of America.
Christophe d'EnfertInstitut Pasteur, Unité Biologie et Pathogénicité Fongiques, Département Génomes et Génétique, Paris, France; INRA, USC2019, Paris, France.
Sascha BrunkeDepartment of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany; Integrated Research and Treatment Center, Sepsis und Sepsisfolgen, Center for Sepsis Control and Care (CSCC), Universitätsklinikum Jena, Germany.
Bernhard HubeDepartment of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena (HKI), Jena, Germany; Integrated Research and Treatment Center, Sepsis und Sepsisfolgen, Center for Sepsis Control and Care (CSCC), Universitätsklinikum Jena, Germany; Friedrich Schiller University, Jena, Germany.
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEMax Perutz Labs · ATBowdoin College · USInstitut Pasteur · FRJena University Hospital · DE

Funding

The Maine Biomedical Research Network (INBRE)P20GM103423 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI Dustin Lynn Updike · 2012 to 2026
$60.0M
Role of genome plasticity in Candida albicans host-pathogen interactionsR15AI090633 · NIAID · BOWDOIN COLLEGE · PI FORCHE, ANJA · 2011 to 2018
$1.1M
Austrian Science Fund FWF I 746NIAID NIH HHS R15 AI090633NIAID NIH HHS R15 AI090633 02NIGMS NIH HHS P20 GM103423
6 · The paper itself

Abstract

Following antifungal treatment, Candida albicans, and other human pathogenic fungi can undergo microevolution, which leads to the emergence of drug resistance. However, the capacity for microevolutionary adaptation of fungi goes beyond the development of resistance against antifungals. Here we used an experimental microevolution approach to show that one of the central pathogenicity mechanisms of C. albicans, the yeast-to-hyphae transition, can be subject to experimental evolution. The C. albicans cph1Δ/efg1Δ mutant is nonfilamentous, as central signaling pathways linking environmental cues to hyphal formation are disrupted. We subjected this mutant to constant selection pressure in the hostile environment of the macrophage phagosome. In a comparatively short time-frame, the mutant evolved the ability to escape macrophages by filamentation. In addition, the evolved mutant exhibited hyper-virulence in a murine infection model and an altered cell wall composition compared to the cph1Δ/efg1Δ strain. Moreover, the transcriptional regulation of hyphae-associated, and other pathogenicity-related genes became re-responsive to environmental cues in the evolved strain. We went on to identify the causative missense mutation via whole genome- and transcriptome-sequencing: a single nucleotide exchange took place within SSN3 that encodes a component of the Cdk8 module of the Mediator complex, which links transcription factors with the general transcription machinery. This mutation was responsible for the reconnection of the hyphal growth program with environmental signals in the evolved strain and was sufficient to bypass Efg1/Cph1-dependent filamentation. These data demonstrate that even central transcriptional networks can be remodeled very quickly under appropriate selection pressure.

Indexed as

AnimalsCandida albicansCandidiasisCells, CulturedCell WallDirected Molecular EvolutionGene Expression Regulation, FungalGenetic VariationHyphaeMacrophagesMiceMice, Inbred BALB COrganisms, Genetically ModifiedVirulence

Identifiers

PMID25474009
PMCPMC4256171
OpenAlexW1990172999

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.