Evidence map›Paper›PMID 33037223›Full record

ArticleNPJ biofilms and microbiomes2020

Automated quantification of Candida albicans biofilm-related phenotypes reveals additive contributions to biofilm production.

Matthew J Dunn, Robert J Fillinger, Leah M Anderson, Matthew Z Anderson

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Paralogs of thebioRxiv : the preprint server for biology · 2026
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  2. Targeting multidrug-resistantMaterials today. Bio · 2026
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  7. Antifungal Activities of Multi-Halogenated Indoles Against Drug-ResistantInternational journal of molecular sciences · 2025
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  9. Transcriptomic insights intoMicrobiology spectrum · 2025
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  11. Roles of P-body factors inbioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Phenotypic and genotypic characterization ofJournal of oral microbiology · 2025
    Article
  14. Review
  15. Identification of an active RNAi pathway inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Monitoring ofCurrent medical mycology · 2024
    Article
  17. Article
  18. Article
  19. Significant variation of filamentation phenotypes in clinicalFrontiers in cellular and infection microbiology · 2023
    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

4 authors.

Matthew J Dunn *Department of Microbiology, The Ohio State University, Columbus, OH, 43210, USA.
Robert J Fillinger *Biomedical Sciences Graduate Program, The Ohio State University, Columbus, OH, 43210, USA.
Leah M AndersonDepartment of Microbiology, The Ohio State University, Columbus, OH, 43210, USA.
Matthew Z AndersonDepartment of Microbiology, The Ohio State University, Columbus, OH, 43210, USA. anderson.3196@osu.edu.ORCID http://orcid.org/0000-0003-1683-2170

Funding

Quantitative genetic approaches to Candida albicans pathogenesisR01AI148788 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI ANDERSON, MATTHEW Z · 2020 to 2024
$2.2M
Quantitative genetic approaches to Candida albicans oropharyngeal pathogenesisF31DE029409 · NIDCR · OHIO STATE UNIVERSITY · PI FILLINGER, ROBERT JOHN · 2019 to 2022
$109k
American Heart Association-American Stroke Association 20PRE35200201NIAID NIH HHS R01 AI148788NIDCR NIH HHS F31 DE029409
6 · The paper itself

Abstract

Biofilms are organized communities of microbial cells that promote persistence among bacterial and fungal species. Biofilm formation by host-associated Candida species of fungi occurs on both tissue surfaces and implanted devices, contributing to host colonization and disease. In C. albicans, biofilms are built sequentially by adherence of yeast to a surface, invasion into the substrate, the formation of aerial hyphal projections, and the secretion of extracellular matrix. Measurement of these biofilm-related phenotypes remains highly qualitative and often subjective. Here, we designed an informatics pipeline for quantifying filamentation, adhesion, and invasion of Candida species on solid agar media and utilized this approach to determine the importance of these component phenotypes to C. albicans biofilm production. Characterization of 23 C. albicans clinical isolates across three media and two temperatures revealed a wide range of phenotypic responses among isolates in any single condition. Media profoundly altered all biofilm-related phenotypes among these isolates, whereas temperature minimally impacted these traits. Importantly, the extent of biofilm formation correlated significantly with the additive score for its component phenotypes under some conditions, experimentally linking the strength of each component to biofilm mass. In addition, the response of the genome reference strain, SC5314, across these conditions was an extreme outlier compared to all other strains, suggesting it may not be representative of the species. Taken together, development of a high-throughput, unbiased approach to quantifying Candida biofilm-related phenotypes linked variability in these phenotypes to biofilm production and can facilitate genetic dissection of these critical processes to pathogenesis in the host.

Indexed as

AutomationBiofilmsCandida albicansCandidiasis, InvasiveCell AdhesionCulture MediaGenome, FungalHigh-Throughput Screening AssaysHumansMycologyPhenotypeTemperatureCulture Media

Identifiers

PMID33037223
PMCPMC7547077

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Registered trials

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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.