Targeted changes of the cell wall proteome influence Candida albicans ability to form single- and multi-strain biofilms.
Targeted changes of the cell wall proteome influence Candida albicans ability to form single- and multi-strain biofilms.
复制标题
细胞壁蛋白质组的靶向变化会影响白色念珠菌形成单晶和多晶粒生物膜的能力。
DOI:
10.1371/journal.ppat.1004542
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发表时间:
2014-12
期刊:
影响因子:
6.7
通讯作者:
d'Enfert C
中科院分区:
文献类型:
--
作者:
Cabral V;Znaidi S;Walker LA;Martin-Yken H;Dague E;Legrand M;Lee K;Chauvel M;Firon A;Rossignol T;Richard ML;Munro CA;Bachellier-Bassi S;d'Enfert C
Biofilm formation is an important virulence trait of the pathogenic yeast Candida albicans. We have combined gene overexpression, strain barcoding and microarray profiling to screen a library of 531 C. albicans conditional overexpression strains (∼10% of the genome) for genes affecting biofilm development in mixed-population experiments. The overexpression of 16 genes increased strain occupancy within a multi-strain biofilm, whereas overexpression of 4 genes decreased it. The set of 16 genes was significantly enriched for those encoding predicted glycosylphosphatidylinositol (GPI)-modified proteins, namely Ihd1/Pga36, Phr2, Pga15, Pga19, Pga22, Pga32, Pga37, Pga42 and Pga59; eight of which have been classified as pathogen-specific. Validation experiments using either individually- or competitively-grown overexpression strains revealed that the contribution of these genes to biofilm formation was variable and stage-specific. Deeper functional analysis of PGA59 and PGA22 at a single-cell resolution using atomic force microscopy showed that overexpression of either gene increased C. albicans ability to adhere to an abiotic substrate. However, unlike PGA59, PGA22 overexpression led to cell cluster formation that resulted in increased sensitivity to shear forces and decreased ability to form a single-strain biofilm. Within the multi-strain environment provided by the PGA22-non overexpressing cells, PGA22-overexpressing cells were protected from shear forces and fitter for biofilm development. Ultrastructural analysis, genome-wide transcript profiling and phenotypic analyses in a heterologous context suggested that PGA22 affects cell adherence through alteration of cell wall structure and/or function. Taken together, our findings reveal that several novel predicted GPI-modified proteins contribute to the cooperative behaviour between biofilm cells and are important participants during C. albicans biofilm formation. Moreover, they illustrate the power of using signature tagging in conjunction with gene overexpression for the identification of novel genes involved in processes pertaining to C. albicans virulence. Candida albicans is the most prevalent human fungal pathogen. Its ability to cause disease relies, in part, on the formation of biofilms, a protective structure of highly adherent cells tolerant to antifungal agents and the host immune response. The biofilm is considered as a persistent root of infection, disseminating infectious cells to other locations. In this study, we performed large-scale phenotypic analyses aimed at identifying genes whose overexpression affects biofilm development in C. albicans. Our screen relied on a collection of 531 C. albicans strains, each conditionally overexpressing one given gene and carrying one specific molecular tag allowing the quantification of strain abundance in mixed-population experiments. Our results strikingly revealed the enrichment of strains overproducing poorly-characterized surface proteins called Pgas (Putative GPI-Anchored proteins), within a 531-strain-containing biofilm model. We show that these PGA genes differentially contribute to single-strain and multi-strain biofilm formation and are involved in specific stages of the biofilm developmental process. Taken together, our results reveal the importance of C. albicans cell surface proteins during biofilm formation and reflect the powerful use of strain barcoding in combination with gene overexpression to identify genes and/or pathways involved in processes pertaining to virulence of pathogenic microbes.
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影响因子:
14.9
作者:
Hokamp, K;Roche, FM;Brinkman, FSL
通讯作者:
Brinkman, FSL
影响因子:
3.5
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Dague, E.;Jauvert, E.;Ressier, L.
通讯作者:
Ressier, L.
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通讯作者:
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作者:
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通讯作者:
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作者:
Fu, Yue;Luo, Guanpingsheng;Ibrahim, Ashraf S.
通讯作者:
Ibrahim, Ashraf S.