Genome-wide functional analysis in Candida albicans.

Candida albicans is an important etiological agent of superficial and life-threatening infections in individuals with compromised immune systems. To date, we know of several overlapping genetic networks that govern virulence attributes in this fungal pathogen. Classical use of deletion mutants has led to the discovery of numerous virulence factors over the years, and genome-wide functional analysis has propelled gene discovery at an even faster pace. Indeed, a number of recent studies using large-scale genetic screens followed by genome-wide functional analysis has allowed for the unbiased discovery of many new genes involved in C. albicans biology. Here we share our perspectives on the role of these studies in analyzing fundamental aspects of C. albicans virulence properties.

Introduction

Of the 1.5 million estimated fungal species on Earth, only about 300 are known to be harmful to their hosts and roughly 50 of these species are commonly isolated from clinical infections. Candida albicans is a prominent fungal species that exists as both a pathogen and a commensal of humans. This diploid fungus is able to undergo several important morphological transitions that contribute to its virulence, such as transitioning between the round yeast form to the elongated hyphal form, switching between two distinct cell types termed “white” and “opaque,” and developing community structures called biofilms, all of which are important for C. albicans to cause disease. These morphological transitions are also closely linked to host factors, including the status of the immune system due to HIV infection, corticosteroid, antibiotic, and chemotherapy use, and the use of anti-rejection therapeutics administered during organ transplantation.

Understanding how C. albicans is able to switch from a commensal to a pathogen at the molecular level may be the key to developing novel therapeutics to target this opportunistic pathogen. Screening existing C. albicans mutant libraries will thus enable and guide researchers in the discovery of novel antifungal drug targets. Since C. albicans is a eukaryote that shares several essential pathways with humans, mutant libraries are needed to access non-conserved antifungal targets and to minimize side effects of antifungals to humans.

Genome-wide analyses have played – and will continue to play – important roles in discovering gene function, and to better understand the biology and pathogenesis of C. albicans. In the current review, we discuss the roles of available mutant libraries in the genetic analysis of phenotypic switching, biofilm development, antifungal drug resistance and target discovery and host-pathogen interaction. This review will allow for a comprehensive and updated assessment of the functional data gleaned from the different C. albicans mutant libraries.

The review process

To begin the review, we conducted a keyword search on mutant screens which analyzed C. albicans phenotypic switching, biofilm development, antifungal drug and target discovery and host-pathogen interaction. Google Scholar was searched for English language peer-reviewed articles, followed by a manual search in various scientific journals to enrich the article search. The following key terms were used: “large-scale molecular genetic analysis,” “large-scale genetic screening” or “genetic screening,” “large-scale functional analysis” or “large-scale functional screening” and “mutant screening” or “mutant screens.” These key terms were major identifiers for libraries fitting the chosen criteria in this review. They were combined with other key terms such as “C. albicans phenotypic switching,” “C. albicans morphogenesis,” “C. albicans yeast-hypha switching,” “C. albicans white-opaque switching,” “C. albicans biofilm development,” “C. albicans biofilms,” “C. albicans drug discovery,” “C. albicans drug targets” and “host-pathogen interaction.” Articles retrieved were individually screened for relevance to the chosen criteria. From these articles designated as relevant, we excluded those published before the year 2000 and those that we could not translate to the English language. In total, this literature search resulted into 11 relevant mutant libraries, which were grouped into insertion, conditional expression or GRACE and deletion libraries (Table 1). The article search was finalized in August 2016.

Table 1.

Candida albicans mutant libraries constructed from different background strains.

Librarya	Method	Background strainb	Strains generated	Strains responding to treatment	Genes analyzed	Study (ref.)	Target(s) of the studyc
Heterozygous insertion	Tagged Tn5-UAU1	BWP17	3,633	487	269	Oh (22)	Identification of fitness genes and potential drug targets.
Protein kinase	Tn7-UAU1	BWP17	108	80	80	Blankenship (19)	Characterization of cell wall PK network.
Haploinsufficient	Tn7-URA3	CAI4	18,000	325	146	Uhl (16)	Identification of genes affecting yeast-hypha transition.
Homozygous insertion	Tn7-UAU1	CAI4	353	3	3	Davis (17)	Identification of genes affecting pH-dependent filamentation.
Homozygous insertion	Tn7-UAU1	BWP17	197	30	30	Finkel (20)	Characterization of the C. albicans cell surface regulatory networks.
TR homozygous insertion	Tn7-UAU1	DAY185	83	2	2	Nobile (65)	Identification of biofilm development regulatory proteins.
GRACE	Conditional expression	CaSS1	1,152	574	567	Roemer (24)	Systematic discovery of essential genes and prioritization as antifungal targets.
GRACE	Conditional expression	Not reported	2,356	974	974	O'Meara (25)	Identification of TRs governing morphogenesis in response to host-relevant cues.
Heterozygous gene deletion	Gene replacement with HIS3	Not reported	2,868	84	69	Xu (26)	Identification of genes related to the MOA, and the MOA of novel antifungal agents.
Homozygous gene deletion	Multi-marker gene-knockout	SN152	∼3000	115	115	Noble (28)	Identification of genes required for infectivity in a mouse model and for morphological switching and cell proliferation in vitro.
TRKO homozygous gene deletion	Long-flanking-homology disruption	SN152	365	365	143	Homann (27)	Phenotypic profiling of the C. albicans regulatory network.

Notes.

TRKO, transcriptional regulator knockout.

C. albicans strains CAI4, BWP17 and SN152 were designed by Fonzi & Irwin, Wilson et al. and Noble and Johnson, respectively. Strain CaSS1 was designed in the background of strain CAI4.

MOA, mechanism of action

Types of approaches used to generate C. albicans genetic libraries

The use of molecular tools in C. albicans gene function discovery is often directed toward understanding the impact of genetics over virulence of this species. Molecular tools are combined with whole genome sequencing and the use of the Candida genome database (http://www.candidagenome.org), and together they advance the implementation of large-scale molecular genetic analyses in C. albicans. Equally, genetic manipulation approaches described in literature have paved an important path for large-scale production of C. albicans mutant strains. Below we discuss some of these genetic manipulation approaches adopted to generate genetic libraries.

Transposon insertion

Transposons are mobile genetic elements that integrate the bacterial and eukaryotic genomes, and induce mutations through a process termed transposition. In C. albicans, the use of bacterial Tn7 transposon is common. This transposon has been fused to elements required for selection and gene expression monitoring in C. albicans, as well as replication and antibiotic resistance in Escherichia coli. Insertion mutants generated by the Tn7 system, containing elements as aforementioned, have been generated by combining Tn7 transposon with enzyme-cut C. albicans genomic DNA (gDNA), as well as transposases required to catalyze transposition reaction (Fig. 1b-d). After this reaction, gDNA fragments integrated by the Tn7 cassette are generated such they contain the URA3 marker at different loci. Strains transformed with these Tn7-URA3-ORF fragments can then be selected as prototrophic URA+ isolates and form a C. albicans mutant library (Fig. 1b).

Figure 1.

Generation of C. albicans mutant libraries. (a) Wild type strain; no deletion or insertion, (b) Tn7-URA3 heterozygous insertion, (c) Tn7-UAU1 homozygous insertion, (d) Tagged Tn5-UAU1 homozygous insertion, (e) gene deletion and conditional gene expression, (f) heterozygous gene deletion, and (g) homozygous gene deletion. N/A – not applicable, DTag – down tag, UTag – up tag, C. d. – C. dubliniensis, C. m. – C. maltosa.

The Tn7 system adopted by Nobile and Mitchell contains the UAU1 (uracil-arginine-uracil) cassette in the place of URA3. As originally described by Enloe et al., the UAU1 cassette generates homozygous mutants following a single integrative transformation and subsequent selections on Arginine and Uracil containing medium. The insertion libraries of Blankenship et al. and Finkel et al. were derived using the Tn7 system based on UAU1-derived homozygosis. Mechanistically, two Transprimer transposons which confer resistance to antibiotics are incorporated into a Tn7-UAU1 transposition reaction. These Transprimers contain unique priming and restriction sites for sequence confirmation and restriction mapping of Tn7-UAU1 cassettes inserted into C. albicans gDNA, respectively. A slight modification to the Tn7 reaction is described by Nobile and Mitchell, and involves cloning of C. albicans targets into pGEM-T Easy plasmid vector. Thus, a library of pGEM-T Easy-ORFs, which can be isolated and used for large-scale mutant construction, is generated using this modified version. Authors have recommended that pGEM-T Easy-ORF fragments with Tn7 insertions occurring near the middle of target ORFs be selected for large-scale mutagenesis. To confirm insertions, plasmids are subsequently digested with an enzyme that releases ORFs, as intact or as several pieces, from Tn7-UAU1 pGEM-T Easy backbone. The confirmed plasmids can then be used to generate a library of C. albicans insertion strains. Following this, insertion strains are subjected to selection, which induces recombination, resulting in an intact URA3 copy placed on one of the target alleles (Fig. 1c).

A mutagenesis approach developed by Oh et al. is based on a Tagged Tn5 transposon, tagged by 4280 synthetic Gateway-compatible TagModules that are flanked by universal priming sites. These TagModules are cloned into a Gateway entry vector flanked by recombination sequences required for cloning into a Gateway conversion cassette. The resultant constructs containing the different TagModules are eventually fused to the Tn5-UAU1 cassette, forming a tagged Tn5 transposon cassette. Universal primer binding sites which flank the up- and down-TagModules, correspond to C. albicans ORFs of interest. These primers allow for PCR amplification of all tags in a mutant library (Fig. 1d). Following this, tagged PCR products can be hybridized to an Affymetrix TAG4 microarray containing the tag complements. Signal intensity for each tag generated from this hybridization can be translated to fitness and sensitivity scores for each constructed mutant.

Overexpression/suppression

Among promoters designed for regulatable gene expression in C. albicans, the Tet promoter is currently the only one used in the construction of the gene replacement and conditional expression (GRACE) libraries. Construction of these libraries is demonstrated in Fig. 1e. Here, conditionally constructed strains are generated by replacing one copy of the target gene using a tagged HIS3 auxotrophic marker. This marker is flanked by sequences homologous to the 5′- and 3′-untranslated regions of the target gene. Following this, the Tet promoter cassette modified with streptothricin acetyl transferase (SAT1) gene, is integrated upstream of the second allele, where it replaces the native promoter of the target gene. Since this promoter is ligated to the SAT1 gene, that is required for growth on nourseothricin drug, positive C. albicans isolates resistant to this drug can easily be selected. Gene expression in the GRACE libraries occurs in a Tet-Off-dependent manner – in absence of the drug, tetracycline or doxycycline. The GRACE method is valuable for the discovery and characterization of essential genes, as well as the discovery of novel antifungal targets producing terminal phenotypes.

Gene deletion

Two strategies, shown in Fig. 1f-g, used to generate C. albicans heterozygous and homozygous gene deletion libraries have been described by Noble and Johnson and Xu et al. These deletion strategies share certain crucial requirements. Firstly, before mutant generation can commence, target genes are selected using a set of criteria such as being essential and conserved in close and distant fungi, sharing of homology with higher eukaryotes and uniqueness to C. albicans. In addition, functional motifs of the selected genes must relate to virulence of C. albicans or other fungal pathogens. Secondly, deletion cassette(s) used to disrupt these genes must carry neutral auxotrophic markers. However, disruption cassettes may differ slightly. For instance, the 5′ and 3′-untranslated ends of the marker gene may be interrupted by unique up- and down-tags and primer binding regions common for amplification of these tags. By default, each mutant generated using these tagged cassettes will be represented by two isolates marked by a unique up- and down-barcode. At the same time, common priming sites in generated tagged strains will facilitate the use of independent strains in pooled assays and, later, determination of relative abundances. Therefore, the use of this tagged strategy allows for the identification of fitness genes which can be targeted for antifungal drug development. Although this deletion strategy shares some similarities with the strategy described by Noble and Johnson, relatively short sequences of about 43-bp homologous to sequences flanking target C. albicans ORFs are used. These short sequences can impact negatively on the binding of the deletion cassettes to the target locus. In an effort to limit this non-specific binding, Noble and Johnson proposed and used 350-bp sequences that are homologous to sequences flanking the gene of interest. These sequences are long enough to increase specificity of the deletion cassettes used during mutant construction; other authors have also proposed the use of even longer sequences of up to 1-kb. The 350-bp long sequences used by Noble and Johnson, however, also flank C. dubliniensis HIS1 and C. maltosa LEU2 auxotrophic markers. Thus, gene disruption efficiency is further improved.

Large-scale genetic analysis of phenotypic switching

Filamentous growth

Transcriptional regulation of yeast to filament transition is important for C. albicans to thrive in host-specific niches, each with its own set of changing microenvironments. Filamentous growth in C. albicans is triggered by a plethora of conditions (e.g. CO2 availability, pH fluctuations, serum and starvation) and is co-regulated with other biological processes such as secretion of hydrolases (Fig. 2A, B). Thus, in responding to its environment, C. albicans can activate several virulence factors which will enable it to adhere, colonize and penetrate important host tissues (Fig. 2B; 1-3). Large-scale genetic screens coupled with phenotypic analyses and the use of infection models, are important investigative tools used to explore gene functions underlying filamentous growth. Numerous libraries listed in Table 1 and discussed below have contributed to the current knowledge of how filamentation is controlled at the molecular level.

Figure 2.

C. albicans' response to the surrounding environment. A. Virulence factors attributable to host tissue damage. Op, opaque; C, cavities. B. Regulation of morphogenesis by varied environmental stimuli. Proteins are colored as follows: white, environmental sensors; gray, transcription regulators; dark gray, protein kinases; black, other genes. , conditions required for the activation of opaque cell filamentation; , interactions during the regulation of opaque cell filamentation; , interactions during the regulation of the response to high cell density. HSG's, hyphal-specific genes; OpSG's, opaque-specific genes. Kinase modules are indicated as follows: MAPKK, MAPK kinase; MAPKKK, MAPKK kinase; PAK, p21-activated kinase. Black arrows indicate signal flow. T-shaped bars indicate inhibition.

Haploinsufficiency gene insertion library

Uhl et al. constructed a random Tn7-URA3 insertion library consisting of 18,000 mutant C. albicans strains, and performed haploinsufficiency screens to identify phenotypically altered disruption mutants. Tn7 insertions in these strains, herein referred to as haploinsufficient mutants, were verified by sequencing. Generated haploinsufficient mutants were screened for defects in filamentous growth on yeast-extract-peptone-dextrose (YPD) agar supplemented with 1% serum, and Spider medium agar. These media are enriched with nutrient supplements suitable to mimic the nutrient-rich and nutrient-poor host environment that C. albicans is often exposed to; the former media type is a potent inducer of filamentation in C. albicans, while the latter induces a more moderate filamentous growth response. A total of 325 of the 18,000 Tn7 insertion strains (1.8%) displayed altered filamentous growth on at least one of the two media types, when compared to a wild-type control (Table 1). These 325 Tn7 insertion strains correspond to a total of 146 unique genes involved in yeast-hypha switching. Only 6 out of the 146 genes (4%) had been previously identified as being involved in filamentous growth of C. albicans. Notably, 32% of identified genes in this screen lacked significant sequence similarity (based on BLAST scores less than -15) to genes in currently available databases. Therefore, this study identified putative functions for many genes that are unique to C. albicans morphogenesis which may serve as potential antifungal targets.

Homozygous gene insertion library

The insertion library developed by Davis et al. was derived using the Tn7-UAU1 cassette. Using in vitro Tn7-mediated transposition, Davis generated and cloned 756 insertions, which yielded disruptions in 353 unique ORFs. Two hundred and fifty-three of these sequence-verified disruption cassettes were transformed into C. albicans and subsequently screened for homozygous gene disruptions, yielding 217 unique homozygous gene disruptants (Table 1). However, this screen failed to identify homozygous disruptions for 36 of the 253 constructs. The 36 target loci were found to be triplicated, with one wild-type allele maintained. These loci were also regarded as representing essential genes. Homozygous disruptions of the SLA2, RIM13, and MDS3 gene were identified in a screen for strains that are defective in pH-induced filamentation. Unlike Sla2 and Rim13, Mds3 was previously not implicated in filamentation or pH response. It was subsequently determined to be required for normal alkaline-induced filamentation, but not for serum or N-acetylglucosamine (GlcNAc)-induced filamentation. Mds3 appears to independently activate a pathway parallel to the Rim8p-Rim101p complex. Therefore, this study has provided fresh insights into how C. albicans RIM proteins and Mds3 may potentially coordinate pH-responses inside the human host.

Transcription regulator gene deletion library

Regulatory genes are of central importance due to their influence on microbial response to environmental stimuli. Transcriptional regulators or TRs can alter cellular development and routine biological functions of cells through promoter binding of many genes, including other TRs. Homann et al. developed a target list of 184 known or predicted TRs, with an emphasis on sequence-specific DNA binding proteins, and excluding general transcription factors that influence the transcription of most genes in the cell. Using the flanking-homology disruption method (Fig. 1g), Homann et al. successfully created 143 high-confidence homozygous mutant strains, with two independent isolates of each homozygous deletion strain. An additional 23 low-confidence mutants represented by a single homozygous knockout isolate was also constructed. The 143 high-confidence strains formed the official TRKO library, with each strain phenotypically profiled based on 55 independent growth conditions.

The C. albicans TRKO library was not developed for exclusive analysis of filamentous growth. Nevertheless, some 20 TRs that were previously uncharacterized were associated with this phenotype. These TRs were grouped with other previously characterized TRs as general growth regulators, 30˚C negative regulators and complex colony morphology regulators. Homann et al. have thus presented a comprehensive set of functional TRs with a range of roles in C. albicans biological processes. As shown later in this review, several studies have established the TRKO library as a valued resource for the C. albicans research community.

Protein kinase gene insertion library

C. albicans can respond to quorum sensing sesquiterpene compounds. Some of these compounds, mainly farnesol, can inhibit yeast-to-hypha transition in dense populations of C. albicans. The homozygous Tn7-UAU1 library of PK (protein kinase) strains has been useful in screening for response to cell density changes in the presence of farnesol. Screening of this insertion library revealed that farnesol-mediated inhibition of yeast-hyphal transition is distinct from the cAMP-mediated pathway. A kinase gene named SOK1 was identified as a vital component required for this unique mechanism. This kinase gene was found to be transiently expressed in cells inoculated into fresh YPD medium, which represent low density culture settings. However, expression of Sok1 was not detected in YPD medium supplemented with farnesol, suggesting that farnesol may inhibit expression of Sok1 and associated repressors of yeast-hyphal transition. Among repressors that could potentially be inhibited include Nrg1 and Tup1. These TRs may be targeted by Sok1, and they are likely repressed in low density cultures in C. albicans since switching to the hyphal state is observed under these culture conditions. Likewise, Sok1 may positively regulate Nrg1 and Tup1 when C. albicans cells become densely populated, thereby preventing switching to the hyphal state (Fig. 2B). An earlier study found that Tup1 is steadily expressed in farnesol treated cells. Whether this expression is linked to Sok1 remains a matter of speculation. However, Lu et al. could correlate elevated mRNA transcript and protein levels of NRG1 with the lack of expression of Sok1 in the presence of farnesol. Therefore, Sok1 could be phosphor-regulating Nrg1 more than it does Tup1 and other negative regulator genes of yeast-hypha switching (Fig. 2B). Other proteins included in this regulatory system were discovered following screening of the TRKO library. These include Cup9, targeted by E3 Ubiquitin ligase, and a negative regulator of Sok1 and Nrg1 (Fig. 2B).

Therefore, this study has provided important leads regarding C. albicans' response toward changing cell-densities. Understanding these mechanisms in detail is of particular relevance given that C. albicans co-exists with other species secreting quorum sensing molecules inside the human host.

Homozygous gene deletion library

Studying C. albicans genetics was previously complicated by the diploid nature and the use of auxotrophic markers involved in virulence of this organism. Over the years, the Candida research community has improved gene disruption protocols (Fig. 1f-g) to study the diploid genome of C. albicans. Among milestones that emerged from these developments was the construction of the homozygous gene deletion library containing up to 3000 auxotrophic C. albicans strains. These strains are disrupted for a total of 674 non-essential genes, and they cover about 11% of the C. albicans genome (Table 1).

Phenotypic profiling of deletion strains in the homozygous library was conducted by incubating C. albicans cells on Spider medium agar for 14 days at 30 ˚C. Following this long incubation period, colonies from 133 deletion strains were found to be either more or less wrinkled or filamentous than the wild type strain. Oddly, most strains (115) exhibiting enhanced colony filamentation also exhibited defects in infectivity in a mouse model. The majority of these strains (89) exhibited normal proliferative ability in vitro. An additional 46 deletion strains with normal colony morphology and proliferative ability also displayed infectivity defects. While some of the affected genes in the 46 strain set have undescribed functions, some genes are involved in cell wall biogenesis (e.g., PGA32, CHS4, CHS7 and CHT2), lipid biosynthesis (e.g., CYB1 and HET1), nutrient acquisition and metabolism (e.g., CDC19, HGT8 and HGT19) as well as signaling and transcription (e.g., CZR1, RGA2, KAR2, and MTLA1). This implies that C. albicans infection machinery is driven by many presiding genetic factors that are in part or entirely unlinked to morphogenesis. Thus, Noble et al's assessment of colony morphogenesis, infectivity and proliferation can provide an informed analysis of C. albicans infection machinery useful for routine morphological tests conducted in the clinical setting.

White-opaque switching

The transformation of C. albicans from the default form to the mating competent form is called white-opaque switching. This switching system came to light during analysis of the wild type clinical isolate, WO-1, which lacks lacks the a1 gene that corresponds to the mating-type-like or MTL locus. White-opaque switching was later observed in other Candida species. It is apparent from a number of seminal papers that C. albicans white-opaque switching is highly modulated by the MTL locus, following which activation of genes in this locus induces interconnecting feedback loops that are regulated by EFG1, CZF1 and Wor genes (WOR1-4) (Fig. 2B). However, studying white opaque switching in C. albicans mutants requires that diploid MTL heterozygous strains (MTLa/α) be converted from being mating and switching incompetent to being competent for these processes. To convert these strains, targeted gene disruption of either MTLa or MTLα is conducted, which will result in diploid strains homozygous for the a or α allele. In this homozygous state, C. albicans a-specific and α-specific genes encoded in the MTL locus cannot form a heterodimer complex (a1-α2) that inhibits the Wor1 gene required for the expression of phase-specific genes (Fig. 2B). Understanding how this mechanism operates makes it possible to analyze white and opaque cells in existing C. albicans mutant libraries using various conditions. To date, there's a body of knowledge regarding distinct genetic mechanisms used by white and opaque cell types to thrive under distinct conditions. Below, we discuss the contribution of the TRKO library to understanding C. albicans white-opaque switching.

Regulation of CO2-induced white-opaque switching

In addition to other inducers such as GlcNAc, carbon dioxide (CO2) is one of the potent inducers of white-to-opaque switching in C. albicans (Fig. 2B). Screening the TRKO library revealed Flo8 as a regulator of CO2-induced switching under incubation in 5%CO2 (Table 1). In these conditions, switching competent C. albicans cells lacking Flo8 formed mostly white cells when cultivated on Lee's glucose (Glc) medium. At the same time, the wild-type strain formed <1% white colonies under the same conditions. Likewise, opaque colonies of the Flo8 double knockout isolate were significantly reduced (<0.4%) compared with opaque colonies of a wild-type control (>86%). No difference in switching was observed between flo8Δ/Δ and the wild type strain on Lee's GlcNAc medium. As indicated in Fig. 2B, GlcNAc activates Ras1-cAMP-dependent white-opaque switching in C. albicans. Therefore, CO2 could induce Flo8-dependent switching via a distinct pathway. Previous studies have indicated the induction of yeast-hypha switching by CO2 via Flo8-dependent signaling. Combined with these studies, the study of Du et al. demonstrate how different switching systems and the underpinning signaling paths may develop in response to similar environmental cues in human fungal pathogens.

Regulation of opaque cell filamentation

Filamentous growth pathways in white and opaque cells overlap in C. albicans. Given their operation in distinct cell types, these pathways are activated by distinct environmental cues. For instance, opaque cells filament efficiently in low phosphate and sorbitol, and at 25 °C via the cAMP-dependent signaling pathway (Fig. 2B). Filamentation in these cells is also possible with conditions that induce white cell filamentation such as 37 °C in GlcNAc. However, unlike in white cells where filamentation is efficiently induced by these conditions, opaque cells require an incubation period of up to five days to filament.

Lessons learned from studies of yeast-hyphal switching in white cells suggest that studying yeast-hypha-specific TRs better advances understanding of regulatory mechanisms of this switching process. This is consistent with the fact that a number of studies opt to analyze the TRKO library to deeply understand regulation of filamentation. Guan et al. have screened this library and identified Bcr1 as a major regulator of opaque cell filamentation (Table 1). Bcr1 was found to exert its control upstream of TR genes such as CUP9 and CZF1 (Fig. 2B), and to strongly bind promoters of these TRs in opaque cells than in white cells. Also apparent from this screen was the fact that Bcr1 is a global regulator of opaque cell filamentation, as demonstrated by failure of its deletion strain to filament under a wide variety of culture conditions. The general importance of this study is the finding that networks governing switching overlap, giving C. albicans enough plasticity and capacity to rapidly adapt to changing host microenvironments.

Large-scale genetic analysis of C. albicans biofilm development

Biofilms are a densely compact microbial community of cells encased in a matrix of extracellular polymers (Fig. 3). They usually form in vitro consisting mostly of yeast and hyphal cells, or in vivo as polymicrobial cultures, co-existing with bacterial species of the gut micribiota. Structural appearance of C. albicans biofilms is biologically unique from the appearance of suspended yeast cells, and this allows C. albicans to thrive under harsh environmental conditions (Fig. 3). For instance, biofilms overexpress efflux pumps which oftentimes increase tolerance of biofilms to antifungal drug treatment. On the other hand, cell-surface adhering capacity of biofilms presents a major clinical challenge by enabling biofilms to colonize implanted, and life-saving medical devices such as pacemakers. Thus, adherence can cause serious complications and even lead to death of patients with implanted devices. The extracellular matrix of matured biofilms forms a rigid and impermeable layer against antifungal drugs and, as a result, stabilizes the structure of mature biofilms (Fig. 3). Studies have also shown that C. albicans ‘persisters’, which are derived from a small subpopulation of dormant cells, are highly tolerant to antifungal treatment and they may develop into a more drug tolerant biofilm. Due to these traits, C. albicans biofilms are responsible for increased hospital-associated infections and resulting mortality rates. Here we discuss the complex networks governing biofilm developmental stages with lessons learned from the screens of C. albicans libraries.

Figure 3.

Development of C. albicans community structures (biofilms) on the surface of a medical device such as a pace maker. Left pane indicates steps leading to biofilm formation. Right pane indicates the underlying regulatory mechanism involved in each step. Bolded proteins are transcription regulators while non-bolded proteins are some of the downstream components. 1. Regulation of dispersion. Dispersed cells from matured biofilms may restart the process of forming biofilms or cause disseminated infections; 2. Delivery and arrangement of β-1,3 glucans in the matrix 3. Regulation of extracellular matrix accumulation; 4. Regulation of biofilm development. *Only Bcr1 and Efg1 are targeted for inhibition by Sfp1. Black arrows indicate signal flow or activation. T-shaped bars indicate inhibition.

TR gene insertion and TRKO library in studying biofilm regulation

Nobile and Mitchell identified 83 putative TR genes associated with biofilm formation. Using the split-marker transposon insertion method (Table 1), authors designed a library of C. albicans TR insertion strains from the 83 putative genes. All of the 83 generated insertion strains were assayed on a silicone substrate suspended in Spider medium. This screen identified Bcr1 and Tec1 as key biofilm regulators, for which insertions in ORFs of these TRs gave rise to mutants with underdeveloped biofilms, consisting mostly of yeast cells. By contrast, biofilms of the wild type strain formed a biofilm with a typical density consisting of yeast and hyphal cells. Tec1 is a known hypha-specific regulator (see Fig. 2B) while Bcr1 was identified for the first time in this mutant screen as the biofilm master regulator. Genome-wide expression profile of the BCR1 strain indicated that the Bcr1 TR controls expression of cell-surface proteins and adhesins, including Als1 (Fig. 3). Therefore, appearance of underdeveloped biofilms following the insertion mutation is caused by altered production of cell-surface proteins and adhesins. Disruption in the TEC1 gene, like disruption in other hypha-specific TR genes such as EFG1, is expected to yield biofilm defects in C. albicans. In the mutant strain of the TEC1 gene, the BCR1 gene is downregulated, suggesting that its expression is Tec1-dependent. This study has thus provided one of the first direct links between the biofilm and yeast-hypha switching network.

The biofilm network has since been expanded through screening of the TRKO library, by introducing four additional TRs genes (EFG1, NDT80, ROB1 and BRG1) also essential to biofilm regulation (Fig. 3). Deletion mutants of these TR genes displayed abnormal biofilm growth under standard in vitro growth conditions and in the in vivo murine model, suggesting that they positively regulate biofilm development. The four TRs, together with Bcr1 and Tec1, regulate more than 1000 target genes, some of which are also TRs. Several downstream targets in this circuit have contributory roles relevant to typical biofilm characteristics. Although not initially identified during characterization of the interconnected biofilm network, additional screening of the TRKO library introduced more TRs (Flo8, Gal4 and Rfx2) which also form part of the biofilm regulatory network (Fig. 3). By comparing in vitro and in vivo test conditions, Fox et al. could show how mutant strains of these TRs exhibit defects similar for both set of conditions. Consistent with binding patterns displayed between typical biofilm TRs, Flo8, Gal4 and Rfx2 bound the promoter regions of Bcr1, EFG1, Tec1, Ndt80, Rob1 and Brg1. Together with the in vitro and in vivo analyses, these findings suggest that these TRs are also master regulators of the biofilm network, with Gal4 and Rfx2 involved as negative regulators (Fig. 3).

Transposon gene insertion library

Finkel et al. assayed 197 Tn7-UAU1 insertion strains for their involvement in cell surface adherence. Thirty TR strains represented positive regulators of adherence, as they displayed significantly reduced adherence relative to the wild-type strain. Affected TRs in these strains formed a large cell surface regulatory circuit ever to be described in C. albicans (Fig. 3). One of analyzed strains, representing SWI/SNF chromatin remodeling complex or Snf5, showed cell separation defects and hypersensitivity to cell wall perturbing agents. These traits are reminiscent to those of the Ace2 mutant. Ace2 plays a major role in biofilm formation and is also an effector of the RAM (Regulation of Ace2 Morphogenesis) signaling network. In the screen of Finkel et al., this TR shared targets with Snf2, suggesting that Snf2 has a functional relationship with the RAM network. Other strains analyzed were those disrupted for TRs regulating hyphal- and virulence-associated genes, targets of Zap1 and cell surface targets of adherence regulators. These groups of genes formed part of the large cell surface regulatory network. Together with the RAM targets, these groups of genes represent a quarter of all cell surface protein genes regulated by TRs core to the cell surface circuitry. Therefore, this work expands the knowledge for early biofilm development and its underlying comprehensive circuitry. Dissecting the C. albicans cell surface adherence network aids the development of strategies that could prevent biofilm formation or destabilize the structure of already formed biofilms.

Large-scale genetic screening of antifungal drug resistance and possible targets

C. albicans' resistance to a wide range of antifungal drugs rests upon changes in its phenotypic and genetic states. Common causes of resistance are mutations causing repression or overexpression of drug targets. However, antifungal drug resistance is further favored by the expression of multidrug resistance efflux pumps by C. albicans (e.g., Cdr1 and Mdr1; Table 2). Studies have also found these efflux pumps to have a profound antifungal resistance effect in other human fungal pathogens. Therefore, finding newer and effective antifungal drug targets will help ameliorate treatment action plans against fungal infections. This section discusses the role of the GRACE and Haploinsufficiency libraries in identifying antifungal targets and compounds with antifungal activities (Table 2). The mechanisms through which different antifungal compounds produce their antimycotic effects are beyond the scope of this review; the reader is thus guided to several reviews on this topic (refs 4-6).

Table 2.

Antifungal targets and S. cerevisiae homologues, and their cognate compounds studied through library screening in C. albicans.

Gene [Ref(s)]	Ca ORF#	Function of target proteina	Essential, Ca?b	Essential, Sc?b	Compound(s)ac	Phenotypede
ALG7(30,26)	orf19.2187	Involved in cell wall mannan biosynthesis	Yes	Yes	Tunicamycin	↓resistance (H)
ARF2(26)	orf19.5964	Putative ADP-ribosylation factor	No	No	Brefeldin A	↓resistance (H)
ARP2(26)	orf19.7292	Required for cell wall/cytoskeleton organization	No	Yes/No	Various compounds	↓resistance to cytochalasin D (H)
ARP3(26)	orf19.2289	Protein with Myo5p-dependent localization to cortical actin patches at hyphal tip	No	Yes/No	Cytochalasin D	↓resistance (H)
AUR1(26)	orf19.1945	Role in sphingolipid biosynthesis	No	Yes	Aureobasidin A	↓resistance (H)
CDC37(26)	orf19.5531	Interacts with Crk1p kinase domain and with Sti1p	Yes/No	Yes	Radicicol	↓resistance (H)
CDR1(26)	orf19.6000	Multidrug transporter of ABC superfamily	No	No	Various compounds	↓resistance (H)*
CDR2(26)	orf19.918	Putative transporter of PDR subfamily of ABC family	n.r	n.r	n.r	n.r
CNS1(26)	orf19.6052	Putative co-chaperone	No	Yes	Radicicol	↓resistance (H)
ERG1(29)	orf19.406	Role in ergosterol biosynthesis	Yes	Yes	Various compounds	↓resistance (H)
ERG11(29)	orf19.922	Role in ergosterol biosynthesis	No	Yes/No	Various compounds	↑↓resistance (H/N)*
ERG6(29)	orf19.1631	Role in ergosterol biosynthesis	No	No	Various compounds	↑↓resistance (H/N)*
FAS1(26)	orf19.979	Beta subunit of fatty-acid synthase	No	Yes	Cerulenin	↓resistance (H)
FAS2(26)	orf19.5949	Alpha subunit of fatty-acid synthase	No	Yes	Cerulenin	– (H)
FCY2(26)	orf19.333	Purine-cytosine permease of pyrimidine salvage	No	No	5-fluorouracil and flucytosine	↑resistance (H)
FKS1(26)	orf19.2929	Essential beta-1,3-glucan synthase subunit	No	No	Various compounds	↑↓resistance (H/N/”?”)
FUR1(26)	orf19.2640	Predicted tetrameric enzyme of pyrimidine salvage			5-fluorouracil and flucytosine	↑resistance (H)
MDR1(26)	orf19.1244	Role in intracellular protein transport and cytoplasm localization	n.r	n.r	n.r	n.r
NCP1(26)	orf19.2672	Role in ergosterol biosynthesis	No	No	Various compounds	↓resistance (H)
PDR17(26)	orf19.1027	Phosphatidylinositol transfer protein	No	No	Fluconazole	↓resistance (H)
RHO1(30)	orf19.2843	Regulates beta-1,3-glucan synthesis activity and binds Gsc1p	Yes	Yes	Various compounds	↓resistance (H)
SEC7(26,19)	orf19.5947	Putative guanine nucleotide exchange factor	No	Yes	Brefeldin A	↓resistance (H)
SGT1(26)	orf19.4089	Putative co-chaperone protein with a predicted role in kinetochore assembly	No	Yes	Radicicol	↓resistance (H)
SYN8(19)	orf19.2411	Putative endosomal SNARE	No	No	n.r	n.r
TFP1(19)	orf19.1680	Subunit of vacuolar H+-ATPase	No	No	Various compounds	↓resistance (N)
TUB1(26)	orf19.7308	Alpha-tubulin; associates with beta-tubulin (Tub2p) to form tubulin dimer	No	Yes	Nocadozale and benomyl	↓resistance (H)
TUB2(26)	orf19.6034	Beta-tubulin; functional homolog of ScTub2	No	Yes	Nocadozale and benomyl	↓resistance (H) to nocodazole
YBR070c(30)	orf19.5363	Component of UDP-GlcNAc transferase	No	Yes	Methyl methanesulfonate	n.r

Notes.

Data was obtained from the Candida Genome database (CGD) (http://www.candidagenome.org)

The entry 'Yes/No' means gene essentiality depends on strain background and/or selected growth conditions.

The mutagen, Methyl methanesulfonate, targets YBR070c in S. cerevisiae (http://www.yeastgenome.org/). However, it does not seem to target the C. albicans homolog of YBR070c.

Mutant phenotype following treatment with cognate compound(s). Information was obtained from the CGD.

Symbols and other entries: ↓, decreased; ↑, increased; ↑↓, some studies reported an increase while others reported a decrease in resistance to antifungal compounds; H/N, level of resistance reported for both heterozygous and null strains; “?,” some studies did not report ploidy of the strain tested; *, level of resistance reported for more than one compound; –, no level of resistance observed.

GRACE libraries

Roemer et al. implemented a comparative and phenotypic approach to analyze 823 essential genes as priority broad- and narrow-spectrum targets. In the comparative approach, genes essential in C. albicans were compared to orthologues in other fungi and humans. This analysis revealed 33 targets that are conserved between C. albicans and Saccharomyces cerevisiae. All the 33 targets were absent in humans and 27 of them non-conserved in Schizosaccharomyces pombe and Neurospora crassa. Therefore, the 27 identified targets can advance development of narrow-spectrum antifungal drugs. Phenotypic analyses of the GRACE strains identified 212 essential genes, for which strains were inoculated in Tetracycline pretreated and untreated mice. The pretreated mice, therefore, imposed Tet-off conditions, for which suppression of expression of genes in inoculated GRACE strains is supported. These pretreated mice survived seven days following inoculation. By contrast, the untreated mice representing Tet-on conditions injected with the same set of strains were infected within 7-10 days following inoculation. Among strains that were infective were those disrupted for a copy of ALG7, RHO1 and YBR070c (Table 2). However, only the Rho1 affected GRACE strain was infective five days following inoculation. This GRACE strain also caused systemic C. albicans infection, while the remaining strains caused mild infections. This suggests that Rho1 is a candidate protein target for developing treatment against systemic Candidiasis. Therefore, Roemer has demonstrated the use of conditional expression systems in prioritizing and validating essential genes as potential antifungal targets.

Using multiple hyphal inducing cues, O'Meara et al. screened 18 GRACE strains disrupted for homologues of S. cerevisiae ergosterol biosynthetic genes. These strains were exposed to sub-inhibitory concentrations of certain antifungal compounds, which targeted C. albicans yeast-to-hyphal switching. This analysis revealed importance of transcriptionally repressing ergosterol biosynthetic genes (Table 2) to suppress filamentation, instead of killing C. albicans cells. Using antifungals to target virulence factors has some benefits, such as imposing a reduced selection pressure for drug resistance mutations, a recurring problem in C. albicans. O'Meara also identified four essential genes with no human or murine homologs. These fungal-specific essential genes represent potential antifungal targets.

Tagged haploinsufficiency deletion and insertion library

Xu et al. used a reverse genetics approach and target-specific inhibitory compounds to analyze drugs, their targets and mechanism of action (MOA). Induced hypersensitivity in 2,868 heterozygous tagged strains of C. albicans identified several antifungal targets. Among these were target proteins of fluconazole, Erg11, and its accessory protein, Ncp1, both of which are not necessarily essential in S. cerevisiae (Table 2). Authors have also analyzed enzymes and protein complexes, such as the fatty acid synthase subunit, Fas1, and α-tubulin, Tub1, as potential antifungal targets (Table 2). Although genes for these protein complexes are nonessential in C. albicans, Fas1 and Tub1 haploinsufficient strains displayed reproducible hypersensitivity toward their cognate compounds (Table 2). Sensitivity induced by target-specific inhibitory compounds can identify corresponding drug targets and MOA–related genes in C. albicans. Compounds such as 5-fluorocytosine and 5-fluorouracil, as well as tubercidin were useful in studying MOAs using haploinsufficient strains. Furthermore, screening of the heterozygous tagged strains has uncovered previously undescribed antifungal compounds which caused dose-dependent microtubular defects in the Tub1 haploinsufficient strain.

Oh et al. assessed a panel of 1,521 chemical compounds categorized in terms of targets shared between C. albicans and S. cerevisiae as well as in terms of varying MOAs or unique side effects against these species. These chemical compounds were assessed against a library of 3,633 tagged C. albicans heterozygous transposon insertion strains (Table 1). Nutrient- and drug-dependent haploinsufficiency competitive assays revealed 40 such compounds with 20-90% inhibition in C. albicans than in S. cerevisiae. This suggests that these compounds display MOAs that are unique for C. albicans and S. cerevisiae. A genetic screen was conducted and identified a strain haploinsufficient for the SEC7 gene as most sensitive to brefeldin A (Table 2). This compound inhibits intracellular protein transport, while Sec7 is a guanine nucleotide exchange factor which mediates formation of transport vesicles. SEC7 has also been targeted using this compound in a previous haploinsufficiency screen (Table 2). However, Sec7 was not identified as a target corresponding to brefeldin A in S. cerevisiae, suggesting that it is unique to C. albicans. Oh et al. also characterized two previously undescribed antifungal agents which target two nonessential genes, ORF19.2411 and TFP1. ORF19.2411 is a homolog of S. cerevisiae SYN8, while TFP1 lacks an ortholog in this species.

Therefore, the above studies have interrogated an inventory of chemically diverse inhibitory compounds with MOAs (Table 2) using tagged mutant strains of C. albicans. They have consequently increased the number of priority targets to be considered in future to combat C. albicans infections.

The interplay between C. albicans and host immune response

C. albicans frequently colonizes mucosal surfaces in healthy and immune compromised individuals. Since this pathogen can readily switch from yeast to hyphal cells, the mammalian innate immune system has adopted the ability to discriminate between the two cell types. The mammalian innate immune system represents the first line of defense, alongside physical barriers such as the skin and mucosal epithelium. An arsenal of defense mechanisms including the inflammasome (e.g., NLRP3) activation, nutritional immunity, phagolysogenesis, antigen presentation and T helper cell differentiation, supplement this immune response. However, this surveillance system may severely be weakened or prone to manipulations by pathogens in immune compromised hosts. Consequently, this will afford C. albicans the opportunity to penetrate important organ tissues and cause systemic Candidiasis. Therefore, understanding molecular mechanisms utilized by C. albicans to breach innate host immunity is important to undertake precautionary measures against emerging infections. So far, a few C. albicans libraries have advanced knowledge of pathogen-host immune interaction.

Wellington et al. showed that ahr1Δ/Δ and upc2Δ/Δ, screened from the TRKO library, were not only defective in filamentation but also defective in sufficiently inducing the production of interleukin ß (IL-1ß). In essence, these mutants cannot inhibit caspase-1, an enzyme required to convert pro-IL-1ß to IL-1ß (the biologically active form) during inflammatory programmed cell death or pyroptosis. Therefore, the AHR1 and UPC2 genes are implicated in controlling this process. Another study which analyzed the same strains (ahr1Δ/Δ and upc2Δ/Δ) confirmed the previous findings, but strongly implicated Upc2 in controlling processes leading to pyroptosis.

A survey of the GRACE strains conducted by O'Meara et al. suggests that filamentous growth is insufficient for C. albicans to escape from mammalian macrophages. Indicative of this was the observation that previously internalized heat-killed C. albicans mutant strains with defects in filamentation were able to lyse macrophages. When these GRACE strains were treated with endoglycosidase that removes glycoproteins from the cell wall, they failed to induce macrophage lysis. This implicates glycosylation of surface proteins in macrophage lysis. Interestingly, O'Meara have confirmed that this glycosylation-dependent macrophage lysis also occurs in Crypt. neoformans but not in S. cerevisiae. Perhaps this is a process shared among human fungal pathogens.

Taken together, these studies have expanded the knowledge surrounding conserved fungal processes that govern host cell-pathogen interactions and immunity. In future, this interaction may represent a potential target for the development of drugs and chemicals that can enhance endocytosis, prophylaxis of invasive Candidiasis and other invasive mycoses, as well as the development of novel therapeutic agents.

The impact of C. albicans libraries

In order to understand the extent to which C. albicans libraries shaped the understanding of fungal pathobiology, a number of scientific reports citing these libraries were searched from the literature. The key search terms described previously (see The review process section) facilitated the search process. At the end of this search, the number of articles that were retrieved when the key search terms were combined, were analyzed for relevance. For instance, such key terms as “Large-scale molecular genetic analysis” were combined with “C. albicans phenotypic switching,” to unify them into one search term which translated into a single meaningful sentence (e.g., “Large-scale molecular genetic analysis in C. albicans phenotypic switching”). Within papers retrieved using the combination of terms as explained above, we counted the number of papers containing specific terms such as “Large-scale genetic analysis” and “Mutant screening.” These papers were designated as relevant and were further analyzed (Fig. 4A). Follow up analysis was conducted by browsing within the relevant articles, searching for reports that have specifically analyzed C. albicans virulent properties and other aspects of pathogenicity. We found that libraries reviewed in this paper have been cited by 1772 reports relevant to C. albicans. These were the reports used to measure the scientific impact of libraries. Two scenarios were considered; 1) the extent to which each library was cited by papers dealing with the relevant aspect(s) that were previously discussed in this review (e.g., phenotypic switching and biofilm development) (Fig. 4B), and 2) the number of times each library was cited each year from the year in which it was released (Fig. 4C).

Figure 4.

A. Citations retrieved using a combination of key search terms. >, just above; <, just below; k, counting was done in thousands. B. Citations with respect to specific aspects of virulence. Relevant studies are indicated as RS and other studies are indicated as OS. C. Citations observed per year since release of mutant libraries. Bolded numbers represent sum of citations for that year.

Mutant libraries were in fact cited by publications analyzing aspects of interest, such as phenotypic switching, biofilm development, drug and target discovery and host-pathogen interactions. However, libraries such as the GRACE, TR homozygous insertion, heterozygous and homozygous gene deletion libraries showed more literature citations of between 5% and 7% than other libraries within their respective aspects. We also discovered that for a number of libraries, citing papers that are relevant (designated as RS for relevant studies in Fig. 4B) appear to be equal or greater than citing papers that are not relevant (designated as OS for other studies in Fig. 4B) to the discussed aspect. This was true for the GRACE libraries where the RS citations matched the OS citations, and the heterozygous gene deletion library, where the RS citations surpassed the OS citations (Fig. 4B). A conclusion can be drawn from this analysis of relevant and non-relevant citing papers; that is, the use and recognition of C. albicans libraries does not only revolve around aspects of virulence, but may also appeal to other purposes, and this may likely broaden the scope of applicability of C. albicans mutant libraries.

As illustrated in Fig. 4C, we performed citations-per-year assessment beginning with reports citing libraries, for which their release dates ranged from 2003 to 2016. This analysis has thus been based on a 14 years' timeline, and could illuminate a long standing contribution of C. albicans libraries on understanding virulence aspects. An emerging trend from this 14 years' timeline is that of an increasing number of citations that is consistent with an increase in released libraries (Fig. 4C). The highest number of citations (>100) was recorded between 2010 and 2016. A number of factors may have driven this increase in citations. Specifically, we noted several important libraries such as the TRKO homozygous deletion library published by Homann et al. and the homozygous gene deletion library published by Noble et al. Not to dismiss other crucially relevant factors, we believe that there are certain attributes which may play a role more important than others in promoting the public use of these mutant libraries in mechanistically studying C. albicans virulence factors. These include the following: Deletion strains in the TRKO library display phenotypes pertaining to underlying regulatory mechanisms. This allows researchers to readily address regulatory mechanisms of C. albicans virulence, and hence its use is appealing to many researchers in the field. A large number of deletion strains in the homozygous gene library have infectivity defects. This helps identification of novel virulence factors that may serve as potential targets for disease management strategies. Both homozygous gene deletion libraries are deposited with the Fungal Genetics Stock Center (http://www.fgsc.net/). This further potentiates public use and concomitantly increase recognition of these libraries, which seen expressed here in terms of high citation numbers. Another emerging trend from the yearly citation data was that of older libraries (e.g., the haploinsufficient, GRACE and TR homozygous insertion library) being cited each year from the time they were released until 2016. Although the number of reports citing these libraries is not as high as those citing the TRKO homozygous deletion library and the homozygous gene deletion library, their citation trend has been stable over time. This suggests that these libraries have addressed very critical aspects of C. albicans virulence, a contribution which is still being esteemed by the research community.

Limitations

A number of limitations halts the frequent usage of large-scale genetic screens for analyses of C. albicans genetics. These limitations range from those that perpetuate reconstruction of mutants in wild type clinical isolates, to those enforcing verification of roles of genes presented by library screens. These include laboratory wild type isolates which display a high degree of chromosomal abnormalities, and the use of auxotrophic wild type strains within most constructed libraries. Some limiting factors rest on the fact that certain phenotypic processes, such as the yeast-hypha transitioning, observed at cellular and colonial level, do not always associate with in vivo virulence. This enforces the use of in vivo models of infection to validate the roles of genes alleged to have contributed to C. albicans virulence by culture-based methods. The mouse model itself, although shown many times to be useful in establishing in vivo roles of virulence genes in order to address infectivity aspects and to put them into a medical context, is surrounded by some limiting factors. For one, this model requires strict adherence to set ethical standards and accordingly, skilled personnel. Thus, it potentially imposes monetary restrictions, especially for laboratories in developing countries which will use it for the first time in screening mutant libraries. On the other hand, there are currently strict regulations put in place for interstate or intercontinental movement of mutant libraries. These are imposed by federal agencies and are often accompanied by permits which aim to enforce biosafety, deter potential risks to the environment as well as to minimize misuse of biological specimen. However, these processes could potentially delay projects underway since they may drag on for months or even years, and would likely discourage researchers interested in using mutant libraries. Another major setback, which has been shown to be prevalent among libraries in fungal phytopathogens (plant fungal pathogens), is that of screening a large number of isolates but only to end up with only a small number of virulence genes identified (Table 1). Improving mutant construction techniques and implementing sensitive phenotypic screens will enhance gene and function discovery in such libraries.

Conclusions and future outlook

Mutant libraries have made substantial contributions to C. albicans biology. Many genes involved in phenotypic switching, biofilm development, host-pathogen interaction, and those that are presented as antifungal targets, have been identified. In addition, a lot of other genes with in vivo roles have been validated and linked to C. albicans virulence. These milestones have, however, resulted from the analysis of a large number of mutant libraries, each with a large number of strains constructed in different wild type backgrounds. Having to deal with this large set of mutant isolates requires a couple of important questions be asked: Have all the strains in these libraries been represented in terms of gene function? Since there are hundreds of libraries that have emerged from different laboratories world-wide, how do we effectively preserve and utilize the huge amount of function-based data coming from these libraries? Importantly, how do we translate this data into new and more effective treatment plans for C. albicans emerging infections and concomitant diseases?

To provide answers to some of these questions we can direct from work conducted by multiple dedicated research groups across the world. Some of these research groups have shown that tagging of mutant strains can have great potential in testing large groups of strains. Thus, this can enable rapid analysis of previously unexamined strains present in C. albicans libraries. The capacity to analyze large quantities of data has been put to the test by emergence of high throughput sequencing, which resulted in the development of plenty of online platforms to process such data. The same approach could be implemented to process the amount of function-based data generated from screening mutant libraries. The use of animal infection models, for which the animal used shares a large part of its biology with humans, ensures that the function-based discoveries coming from library screening have medical and health implications. In so far, many C. albicans mutant strains have been tested for the ability to colonize the gastrointestinal tract and to cause systemic or disseminated infections using the murine model of infection. However, the greatest challenge is to ensure there is an increase in the rate at which transfer of knowledge occurs between healthcare practitioners and molecular geneticists. Undoubtedly, as a research community, we stand more to gain if all libraries are made publically available and easily accessible. This will enforce collaboration between library designers and researchers across different disciplines, and further promote knowledge dissemination.