Automated quantification ofCandida albicansbiofilm-related phenotypes reveals additive contributions to biofilm production

被引:13
|
作者
Dunn, Matthew J. [1 ]
Fillinger, Robert J. [2 ]
Anderson, Leah M. [1 ]
Anderson, Matthew Z. [1 ,3 ]
机构
[1] Ohio State Univ, Dept Microbiol, 484 W 12th Ave, Columbus, OH 43210 USA
[2] Ohio State Univ, Biomed Sci Grad Program, Columbus, OH 43210 USA
[3] Ohio State Univ, Dept Microbial Infect & Immun, Columbus, OH 43210 USA
基金
美国国家卫生研究院;
关键词
CANDIDA-ALBICANS; GROWTH; HETEROZYGOSITY; PATHOGENICITY; EPIDEMIOLOGY; INFECTIONS; RESISTANCE; DELETION; STRAINS; MODEL;
D O I
10.1038/s41522-020-00149-5
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Biofilms are organized communities of microbial cells that promote persistence among bacterial and fungal species. Biofilm formation by host-associatedCandidaspecies of fungi occurs on both tissue surfaces and implanted devices, contributing to host colonization and disease. InC. 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 ofCandidaspecies on solid agar media and utilized this approach to determine the importance of these component phenotypes toC. albicansbiofilm production. Characterization of 23C. albicansclinical 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 quantifyingCandidabiofilm-related phenotypes linked variability in these phenotypes to biofilm production and can facilitate genetic dissection of these critical processes to pathogenesis in the host.
引用
收藏
页数:12
相关论文
共 2 条
  • [1] 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
    npj Biofilms and Microbiomes, 6
  • [2] Automated Discovery and Quantification of Image-Based Complex Phenotypes: A Twin Study of Drusen Phenotypes in Age-Related Macular Degeneration
    Quellec, Gwenole
    Russell, Stephen R.
    Seddon, Johanna M.
    Reynolds, Robyn
    Scheetz, Todd
    Mahajan, Vinit B.
    Stone, Edwin M.
    Abramoff, Michael D.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2011, 52 (12) : 9195 - 9206