In Candida glabrata, the transcription factor CgPdr1 is involved in resistance to azole antifungals via upregulation of ATP binding cassette (ABC)-transporter genes including at least CgCDR1, CgCDR2 and CgSNQ2. A high diversity of GOF (gain-of-function) mutations in CgPDR1 exists for the upregulation of ABC-transporters. These mutations enhance C. glabrata virulence in animal models, thus indicating that CgPDR1 might regulate the expression of yet unidentified virulence factors. We hypothesized that CgPdr1-dependent virulence factor(s) should be commonly regulated by all GOF mutations in CgPDR1. As deduced from transcript profiling with microarrays, a high number of genes (up to 385) were differentially regulated by a selected number (7) of GOF mutations expressed in the same genetic background. Surprisingly, the transcriptional profiles resulting from expression of GOF mutations showed minimal overlap in co-regulated genes. Only two genes, CgCDR1 and PUP1 (for PDR1 upregulated and encoding a mitochondrial protein), were commonly upregulated by all tested GOFs. While both genes mediated azole resistance, although to different extents, their deletions in an azole-resistant isolate led to a reduction of virulence and decreased tissue burden as compared to clinical parents. As expected from their role in C. glabrata virulence, the two genes were expressed as well in vitro and in vivo. The individual overexpression of these two genes in a CgPDR1-independent manner could partially restore phenotypes obtained in clinical isolates. These data therefore demonstrate that at least these two CgPDR1-dependent and -upregulated genes contribute to the enhanced virulence of C. glabrata that acquired azole resistance.
In Candida glabrata, the transcription factor CgPdr1 is involved in resistance to azole antifungals via upregulation of ATP binding cassette (ABC)-transporter genes including at least CgCDR1, CgCDR2 and CgSNQ2. A high diversity of GOF (gain-of-function) mutations in CgPDR1 exists for the upregulation of ABC-transporters. These mutations enhance C. glabrata virulence in animal models, thus indicating that CgPDR1 might regulate the expression of yet unidentified virulence factors. We hypothesized that CgPdr1-dependent virulence factor(s) should be commonly regulated by all GOF mutations in CgPDR1. As deduced from transcript profiling with microarrays, a high number of genes (up to 385) were differentially regulated by a selected number (7) of GOF mutations expressed in the same genetic background. Surprisingly, the transcriptional profiles resulting from expression of GOF mutations showed minimal overlap in co-regulated genes. Only two genes, CgCDR1 and PUP1 (for PDR1 upregulated and encoding a mitochondrial protein), were commonly upregulated by all tested GOFs. While both genes mediated azole resistance, although to different extents, their deletions in an azole-resistant isolate led to a reduction of virulence and decreased tissue burden as compared to clinical parents. As expected from their role in C. glabrata virulence, the two genes were expressed as well in vitro and in vivo. The individual overexpression of these two genes in a CgPDR1-independent manner could partially restore phenotypes obtained in clinical isolates. These data therefore demonstrate that at least these two CgPDR1-dependent and -upregulated genes contribute to the enhanced virulence of C. glabrata that acquired azole resistance.
Candida glabrata is a haploid member of Ascomycetes normally not
found in the environment but which has rather adapted to conditions found in mammals
[1]. Among human
fungal pathogens, C. glabrata is often reported as the second most
prevalent species after Candida albicans
[2],[3]. C.
glabrata can cause mucosal and bloodstream infection (BSI) mainly in
immuno-compromised hosts. Worldwide, C. glabrata accounts for an
average 11% of infections caused by Candida species, however
this proportion varies from 7 to 20% depending on geographical locations
[4].C. glabrata infections can be treated with several antifungal agents
including amphotericin B, azoles and echinocandins [5], [6]. However, C.
glabrata can develop antifungal resistance and especially to the class
of azole antifungals. Azole resistance surveillance studies have revealed a
proportion varying from 10 to 20% of isolates with MIC values reaching
clinical breakpoints (e.g. 64 µg/ml for fluconazole, based on CLSI standards).
Several countries reported an increase in the proportion of azole-resistant isolates
from 2001 to 2007 [4]. C. glabrata is also known for exhibiting
intrinsically higher azole MIC values than C. albicans. For
example, the average of fluconazole MIC values of a C. glabrata
wild type population is near a value of 4 µg/ml, while it is approximately
32-fold lower for C. albicans
[7], [8]. We and others
showed that azole resistance in C. glabrata was mediated almost
exclusively by enhanced drug efflux and overexpression of multidrug transporters of
the ATP Binding
Cassette (ABC) transporters. Several genes encoding these
transporters were identified including CgCDR1,
CgCDR2 (PDH1) and CgSNQ2
[8], [9], [10], [11], [12]. Azole
resistance in clinical isolates can be the result of overexpression of single or
several transporters [13]. The understanding of regulatory circuits controlling the
expression of these genes has progressed in the recent years. A major regulator of
these genes, CgPDR1, was identified [14], [15]. This gene belongs to the family
of zinc finger transcription factors and functionally resembles
PDR1 and PDR3 from the baker's yeastSaccharomyces cerevisiae. Deletion of CgPDR1
results in a loss of transcriptional control of the major transporters involved in
azole resistance and, consequently, decreased resistance to these antifungals [14], [15].
CgPDR1 exhibits mutations, so called gain-of-function (GOF)
mutations, which are responsible for intrinsic high expression of ABC transporters
and therefore constitute the molecular basis of azole resistance in C.
glabrata
[13], [14], [15]. One striking
feature of GOF mutations is their high diversity among CgPDR1
alleles from azole-resistant isolates. As many as 67 mutations conferring azole
resistance are described up to now [13], [14], [15], [16], [17]. GOF mutations are found within several domains of the
transcription factor corresponding to putative functional elements inferred from
comparison to the S. cerevisiaePDR1 and PDR3 and
including the transcriptional activation domain, a regulatory domain and a so-called
middle homology region (MHR) which is found in several zinc finger proteins [13], [16].Not only are GOF mutations in CgPDR1 important for azole resistance
in C. glabrata but also for fungal-host interactions. We showed
that GOF mutations were associated with enhanced virulence and fitness in animal
models of systemic infection [13]. This was unexpected since it is generally accepted that
the development of drug resistance in other microbes is usually associated with
costs in virulence or fitness. Secondary compensatory mechanisms can however restore
the costs of resistance development [18], [19].In this study we addressed in C. glabrata the identification of
genes behind the GOF-dependent virulence of CgPDR1. Because we
rationalized that some genes commonly expressed by GOF mutations could be
responsible for this effect, we analysed with transcript profiling analysis
C. glabrata isolates containing individual GOF mutations but in
identical genetic backgrounds. Only two genes (CgCDR1 and
PUP1) were identified. We describe here their relevance in the
enhanced virulence mediated by CgPDR1 GOF mutations.
Results
Transcriptional analysis of GOF mutations
In a previous study, we reported a high variety of gain-of-function (GOF)
mutations in the transcriptional activator CgPDR1
[13]. These
mutations conferred azole resistance through the differentiated upregulation of
several ABC transporters including CgCDR1,
CgCDR2 and CgSNQ2. It is known that
CgPDR1 controls the expression of many other genes, some of
which contain a regulatory domain in their promoter matching the PDRE
(Pleiotropic Drug Responsive Element) described in S.
cerevisiae (TCCRYGSR) [14], [16].We were therefore interested to test whether the differentiated expression
pattern observed for a few genes as described earlier [13] could be generalized to
the entire transcriptome of C. glabrata. In order to achieve
this goal, labeled cRNA from mRNA isolated in triplicates from strains
containing seven different CgPDR1 GOF was applied to
oligonucleotides custom arrays. The selection of GOFs was based on their
occurrence in putative CgPdr1 functional domains including the regulatory domain
(L280F, R376W), the MHR (Y584C, T588A) and the activation domain (D1082G,
E1083Q). The GOF P822L was also selected since it was previously associated with
a strong upregulation of CgSNQ2 as compared to other
ABC-transporters [9]. The format of one-color hybridization was chosen
since it allows direct comparisons between any strains. The strains containing
the different GOF were obtained by re-introduction of CgPDR1
alleles at the genomic locus and were described in our previous study [13].As summarized in Table 1,
the number of genes differentially regulated (≥2-fold) by individual GOF as
compared to the wild type CgPDR1 ranges from 73 (for the R376W
substitution) to 385 (for the T588A substitution) and no GOF regulated a similar
number of genes. A total of 626 genes were regulated by at least one GOF (see
File
S1). The degree of similarity between transcription profiles in the
626 genes regulated could also be estimated with linear regression coefficients,
which can establish the extent of gene co-regulation by pairs of separate GOF.
As summarized in Table 2,
approximately half of r2 values from pairwise comparisons were above
0.5 (from 0.54 to 0.87) and thus signified a moderate trend towards the
co-regulation of the genes by these GOFs. The highest correlation
(r2 = 0.87) was observed between expression
pattern of GOF D1082G (SFY103) with P822L (SFY116) (Fig. 1A, left side). One GOF (R376W) in
SFY101 yielded systematically low r2 values with all other GOFs
(between 0.0003 and 0.058). Increasing the cut-off for differential regulation
to ≥3-fold did not significantly change r2 values (data not
shown). The expression of genes obtained from GOF P822L (SFY116) and from R376W
is shown to illustrate the low level of gene co-regulation between both isolates
(Fig. 1A, right side).
Taken together, these data support the concept that individual GOF result each
in distinct transcription profiles even though the number of GOF analysed is
probably only a portion of the entire mutation spectrum.
Table 1
Number of C. glabrata genes regulated by ≥twofold
in PDR1 GOF mutants as compared to the wild
type.
Strain
CgPDR1 GOF mutation
Genes upregulated
Genes downregulated
Total
SFY101
R376W
27
46
73
SFY103
D1082G
53
77
130
SFY105
T588A
235
150
385
SFY109
E1083Q
58
103
161
SFY111
Y584C
197
132
329
SFY115
L280F
67
132
199
SFY116
P822L
71
89
160
Table 2
Correlation coefficients of transcriptional profiles.
GOF in CgPDR1 allele
L280F
R376W
Y584C
T588A
P822L
D1082G
E1083Q
L280F
1
0.016
0.6111
0.3107
0.7761
0.6979
0.8391
R376W
0.016
1
0.0588
0.0316
0.0003
0.0055
0.0003
Y584C
0.6111
0.0588
1
0.5491
0.7798
0.7012
0.7321
T588A
0.3107
0.0316
0.5491
1
0.4591
0.5596
0.4023
P822L
0.7761
0.0003
0.7798
0.4591
1
0.8704
0.7741
D1082G
0.6979
0.0055
0.7012
0.5596
0.8704
1
0.6984
E1083Q
0.8391
0.0003
0.7321
0.4023
0.7741
0.6984
1
Figure 1
Expression profiles of C. glabrata genes regulated
by GOFs in CgPDR1.
Panel A: Pairwise comparisons of gene expression changes
relative to SFY114 carrying the wild type CgPDR1
allele. Each data point correlate the same gene expressed in strain
SFY116 (P822L GOF) versus strain SFY103 (P1082G GOF) (left side) and in
strain SFY116 (P822L GOF) versus strain SFY101 (R376W GOF). For each
diagram, r2 values are given. Panel B: K-means
clustering of the normalized expression levels of the 626 genes
regulated (≥2-fold) by at least one CgPDR1 GOF.
Clustering was performed with Genespring® GX (parameters: Euclidian
distance metric, 100 iterations, 4 clusters). For each cluster, enriched
biological function and biological component were determined using GO
terms of S. cerevisiae homologues. Results are given
below the cluster analysis.
Expression profiles of C. glabrata genes regulated
by GOFs in CgPDR1.
Panel A: Pairwise comparisons of gene expression changes
relative to SFY114 carrying the wild type CgPDR1
allele. Each data point correlate the same gene expressed in strain
SFY116 (P822L GOF) versus strain SFY103 (P1082G GOF) (left side) and in
strain SFY116 (P822L GOF) versus strain SFY101 (R376W GOF). For each
diagram, r2 values are given. Panel B: K-means
clustering of the normalized expression levels of the 626 genes
regulated (≥2-fold) by at least one CgPDR1 GOF.
Clustering was performed with Genespring® GX (parameters: Euclidian
distance metric, 100 iterations, 4 clusters). For each cluster, enriched
biological function and biological component were determined using GO
terms of S. cerevisiae homologues. Results are given
below the cluster analysis.Given the diversity of transcriptional profiles provided by each GOF, the
generated transcriptional data were clustered in a separate analysis in order to
group sets of genes co-regulated by the different GOFs. Four separated groups
were thus identified which were enriched in specific biological processes (Fig. 1B). It is noteworthy
that genes from cluster 1 and 4 are enriched in processes related to amino acid
metabolism, while others are enriched in signal transduction and protein
metabolic processes.We closely inspected the transcription profiles of two isolates, one carrying the
GOF mutation D1082G (SFY103) and the other the mutation P822L (SFY116). This
choice was based on the fact that these profiles show the highest correlation
(r2 = 0.87) and similar numbers of up-and
downregulated genes, thus facilitating comparisons (Table 1 and 2). Between the two GOFs, 86 genes were
co-regulated (32 upregulated and 54 downregulated) from the total of 626 genes
regulated by at least one GOF. The upregulated genes in the SFY103 vs SFY116
comparison showed enrichment for xenobiotic transporter activity
(p = 3.7E-3), while the downregulated genes exhibited
enrichment in amino acid (arginine, glutamine) biosynthesis processes
(p = 5.87E-07 to 2.97E-06). The inspection of conserved
motifs in the promoters of upregulated genes yielded the consensus YCCACGGA
(Figure
S3), which closely resembled the PDRE recognition motif of
PDR1 in S. cerevisiae
((TCC[AG][CT]G[G/C][A/G]) [20]. These data
are therefore consistent with the role of CgPDR1 in the
regulation of genes by the GOF mutations D1082G and P822L.To determine whether the expression of genes differentially regulated by the GOF
mutations was also affected by the absence of PDR1, we analysed
the expression profile of the pdr1Δ strain SFY92. A total
of 247 genes were differentially regulated (≥2-fold) in strain SFY92 as
compared to SFY114 (containing the CgPDR1 wild type allele).
Analysis of the 99 downregulated genes showed that one third of these genes
encode for proteins predicted to be localized in the mitochondria. Moreover,
enrichment of specific biological processes (oxidation-reduction, ATP synthesis
coupled to electron transport chain, cellular respiration) was observed (File S2).
Consistent with these observations is that PDR1 and
PDR3 in S. cerevisiae are known to
participate into the mitochondria-nucleus signalling pathway [21], which may
also be applied to CgPDR1. Finally, 121 genes were
differentially regulated not only in absence of PDR1 but also
in the presence of GOF mutations, indicating that these genes might represent
the basal set of PDR1-dependent genes.
Virulence determinants in C. glabrata
We reported that GOF mutations analysed here by transcriptional profiling in
C. glabrata not only resulted in azole resistance but also
in enhanced virulence and fitness in a mice model of infection [13]. We
reasoned that enhanced virulence could be due to specific genes commonly
regulated by all CgPDR1 GOFs, given that this phenotype was
shared by all these mutations. Our current analysis revealed that no gene was
commonly downregulated and only two genes were commonly upregulated by at least
two-fold by all GOFs, i.e. CgCDR1, the well-known
ABC-transporter involved in azole resistance, and the ORF CAGL0M12947g, which we
named PUP1 (for
UPregulated gene) in the present study. This gene is
highly similar to YIL077c, a gene encoding a protein of unknown
function thought be located in the mitochondria. We tested this hypothesis in
C. glabrata by the expression of a GFP-tagged version of
PUP1 in the azole-resistant clinical isolate DSY565. As
shown in Fig. 2, the GFP
signal could be detected in DSY565. Moreover, Mitotracker Red staining (Panel
C), which specifically reveals mitochondrial punctuate and tubular structures,
co-localized with GFP signals of Pup1-GFP. These results therefore confirmed
that PUP1 encodes a mitochondrial protein.
Figure 2
Localization of Pup1p in mitochondria.
SFY174 cells expressing the Pup1p-GFP fusion protein were stained with
Mitotracker Red and fixed as described in Materials and Methods. Panel A: Nomarski images
of the cells; panel B: Pup1p-GFP; panel C:
mitochondria stained with Mitotracker Red; panel D: merging
of B and C. Four individual images are shown. Bar, 5 µm.
Localization of Pup1p in mitochondria.
SFY174 cells expressing the Pup1p-GFP fusion protein were stained with
Mitotracker Red and fixed as described in Materials and Methods. Panel A: Nomarski images
of the cells; panel B: Pup1p-GFP; panel C:
mitochondria stained with Mitotracker Red; panel D: merging
of B and C. Four individual images are shown. Bar, 5 µm.CgCDR1 and PUP1 are overexpressed by all GOFs
and therefore they may constitute good candidates to be responsible for the
enhanced virulence observed in animal models. In vitro, both
genes were dependent on the presence of CgPDR1 (Fig. 3A). Moreover,
PUP1 contains two PDREs in its promoter (−770 to
−763: TCCACGGA;
−740 to −733: TCCGTGGA) and PUP1 expression was
inducible by fluconazole (Fig.
3B) similarly to CgCDR1. Because they might be
important for the enhanced virulence phenotype, these genes should also be
expressed in vivo. We tested this hypothesis by injecting mice
with strains expressing the GFP under the control of the CgCDR1
promoter or fused to the PUP1 ORF. Kidneys homogenates were
recovered and analysed by flow cytometry to identify GFP-positive yeast cells.
As shown in Fig. 4, GFP
could be easily detected in the azole-resistant background DSY565 (SFY168) that
expresses GFP under the control of the CgCDR1 promoter. This
was not the case in the DSY562 background (SFY167), where GFP expression driven
by the CgCDR1 promoter is low. Similarly, GFP signals in yeast
cells expressing the GFP-tagged PUP1 were detectable in the
DSY565 background (SFY174), but not in the DSY562 background (SFY173). The
results are consistent with the in vitro experiments performed
with both GFP-tagged genes and thus indicate that CgCDR1 and
PUP1 are overexpressed by CgPDR1 GOF both
in vitro and in vivo.
Figure 3
Expression of CgCDR1 and PUP1 in
vitro.
Panel A: Expression of CgCDR1 and
PUP1 in isolates containing distinct
CgPDR1 alleles. Panel B: Expression of
PUP1 after exposure to 256 µg
ml−1 fluconazole during 150 min. Quantification was
performed by qRT-PCR. The values are averages of three separate
experiments and represent the increase in gene expression relative to
DSY562 (set at 1.00). Strains were constructed from a
pdr1Δ mutant and were named by the
re-introduced GOF mutation or wild type CgPDR1 allele.
The indicated names correspond to the following strains:
pdr1Δ: SFY92, PDR1: SFY114,
L280F: SFY115, R376W: SFY101, Y584C: SFY111, T588A: SFY105, P822L:
SFY116, D1082G: SFY103, E1083Q: SFY109).
Figure 4
Expression of CgCDR1 and PUP1 in
vivo.
Flow cytometry analysis of GFP-positive yeast cells was performed from
mice kidneys. Groups of 4 mice were injected intravenously with
4×107 CFU of C. glabrata strains.
Mice were sacrificed at day 7 post-infection. Results are expressed as
percents of GFP-positive events in FACS and represent values recorded
separately for each mouse. Asterisks indicate statistically significant
differences (*: P<0.05; **:
P<0.01, ***:
P<0.001). Strains SFY167 and SFY168 express the
CgCDR1p-3xGFP construct and are derived from DSY562
and DSY565, respectively. Strains SFY173 and SFY174 express the
PUP1-3xGFP construct and are derived from DSY562
and DSY565, respectively. As controls, kidneys of uninfected mice (mock)
were analyzed alone or mixed with 1×107 cells of SFY168
or SFY174 grown in YEPD.
Expression of CgCDR1 and PUP1 in
vitro.
Panel A: Expression of CgCDR1 and
PUP1 in isolates containing distinct
CgPDR1 alleles. Panel B: Expression of
PUP1 after exposure to 256 µg
ml−1 fluconazole during 150 min. Quantification was
performed by qRT-PCR. The values are averages of three separate
experiments and represent the increase in gene expression relative to
DSY562 (set at 1.00). Strains were constructed from a
pdr1Δ mutant and were named by the
re-introduced GOF mutation or wild type CgPDR1 allele.
The indicated names correspond to the following strains:
pdr1Δ: SFY92, PDR1: SFY114,
L280F: SFY115, R376W: SFY101, Y584C: SFY111, T588A: SFY105, P822L:
SFY116, D1082G: SFY103, E1083Q: SFY109).
Expression of CgCDR1 and PUP1 in
vivo.
Flow cytometry analysis of GFP-positive yeast cells was performed from
mice kidneys. Groups of 4 mice were injected intravenously with
4×107 CFU of C. glabrata strains.
Mice were sacrificed at day 7 post-infection. Results are expressed as
percents of GFP-positive events in FACS and represent values recorded
separately for each mouse. Asterisks indicate statistically significant
differences (*: P<0.05; **:
P<0.01, ***:
P<0.001). Strains SFY167 and SFY168 express the
CgCDR1p-3xGFP construct and are derived from DSY562
and DSY565, respectively. Strains SFY173 and SFY174 express the
PUP1-3xGFP construct and are derived from DSY562
and DSY565, respectively. As controls, kidneys of uninfected mice (mock)
were analyzed alone or mixed with 1×107 cells of SFY168
or SFY174 grown in YEPD.To test whether CgCDR1 and PUP1 were involved
in C. glabrata virulence, mutants were constructed in both the
genetic backgrounds of DSY562 and DSY565 resulting in strains SFY148 and SFY149
(CgCDR1 mutants) and SFY150 and SFY151
(PUP1 mutants), respectively. The deletion of the genes was
verified by Southern analysis (see Figure S2). The constructed mutants were next
injected intravenously in mice and mice survival was recorded over time. In this
model, mice are immuno-compromised by cyclophosphamide treatment. In general,
deletion of CgCDR1 and PUP1 in DSY562
background had no significant effects as compared to the azole-susceptible
isolate DSY562 (Fig. 5). On
the contrary, the deletion of CgCDR1 or PUP1
in DSY565 resulted in a significant decrease in virulence as compared to the
wild type (SFY149 vs DSY565: p = 0.04; SFY151 vs DSY565:
p = 0.02). Deleting both genes from DSY565 (SFY170) had a
no significant effect as compared to single mutants. In addition, revertant
isolates, SFY160 and SFY162, restored PUP1 and
CgCDR1 expression, respectively, and the phenotype of the
wild type parent.
Figure 5
Virulence of C. glabrata is dependent on
CgCDR1 and PUP1.
Survival curves of mice infected with DSY562 (panel A) and DSY565 (panel
B) and derived mutants. Statistical differences were performed using the
Log-rank Mantel-Cox test (Prism 5.0) by comparing survival curves of
mice infected by the parental strains (DSY562 or DSY565) and by other
strains as indicated. Asterisks indicate statistically significant
differences (*: P<0.05; **:
P<0.01, ***:
P<0.001). NS indicates no significance
(P>0.05). For strains derived from DSY562, the
indicated names correspond to the following strains:
pdr1Δ: SFY92, cdr1Δ:
SFY148, CDR1rev: SFY161, pup1Δ:
SFY150, PUP1rev: SFY159, cdr1Δ,
pup1Δ: SFY152. For strains derived from DSY565,
the indicated names correspond to the following strains:
pdr1Δ: SFY94, cdr1Δ:
SFY149, CDR1rev: SFY162, pup1Δ:
SFY151, PUP1rev: SFY160, cdr1Δ,
pup1Δ: SFY153.
Virulence of C. glabrata is dependent on
CgCDR1 and PUP1.
Survival curves of mice infected with DSY562 (panel A) and DSY565 (panel
B) and derived mutants. Statistical differences were performed using the
Log-rank Mantel-Cox test (Prism 5.0) by comparing survival curves of
mice infected by the parental strains (DSY562 or DSY565) and by other
strains as indicated. Asterisks indicate statistically significant
differences (*: P<0.05; **:
P<0.01, ***:
P<0.001). NS indicates no significance
(P>0.05). For strains derived from DSY562, the
indicated names correspond to the following strains:
pdr1Δ: SFY92, cdr1Δ:
SFY148, CDR1rev: SFY161, pup1Δ:
SFY150, PUP1rev: SFY159, cdr1Δ,
pup1Δ: SFY152. For strains derived from DSY565,
the indicated names correspond to the following strains:
pdr1Δ: SFY94, cdr1Δ:
SFY149, CDR1rev: SFY162, pup1Δ:
SFY151, PUP1rev: SFY160, cdr1Δ,
pup1Δ: SFY153.Tissue burdens were assessed at day 7 post infection and are shown in Fig. 6. In this model, mice
are immunocompetent and the endpoint measurement is not mice survival but rather
tissue colonization by the infection agent. CFU values were compared with each
other. In isolates derived from DSY562, it is interesting to observe that the
deletion of PUP1, even if it did not result in a decrease of
mice survival as compared to the wild type, significantly decreased kidney
colonization. This decrease was compensated by the reintroduction of
PUP1 in the mutant (SFY160). This decrease was even more
pronounced in the absence of both PUP1 and
CgCDR1 (SFY169). In isolates derived from DSY565, the
individual deletion of CgCDR1 and PUP1 (SFY150
and SFY151) decreased CFU counts in a significant manner as compared to the
parent strain, a change which was restored by revertants of the corresponding
genes. The double deletion of PUP1 and CgCDR1
decreased CFU counts in comparison to all other conditions, as observed from
DSY5652-derived strains, indicating that CgCDR1 and
PUP1 deletions have an additive effect on tissue
colonization.
Figure 6
C. glabrata tissue burdens in murine infection
models.
Fungal tissue burdens in kidneys (panel A) and spleen (panel B) from
BALB/c mice infected intravenously with 4×107 viable
cells of C. glabrata strains. Mice were sacrificed at
day 7 post-infection. Results are expressed as CFUs per gram of tissue
and represent values recorded separately for each of the ten mice.
Geometric means are indicated by horizontal bars. Statistical
comparisons are summarized above each panel. Asterisks indicate
statistically significant differences (*:
P<0.05; **: P<0.01,
***: P<0.001). NS indicates no
significance (P>0.05). The symbol ‘-’
indicates that the statistical comparison was not performed. Statistical
differences were determined using the non-parametric Wilcoxon Rank sum
tests (Prism 5.0). The origin of each strain is indicated; strain
background (DSY562 and DSY565) is indicated by filled or empty symbols,
respectively. See legend of Fig. 5 for strain designations.
C. glabrata tissue burdens in murine infection
models.
Fungal tissue burdens in kidneys (panel A) and spleen (panel B) from
BALB/c mice infected intravenously with 4×107 viable
cells of C. glabrata strains. Mice were sacrificed at
day 7 post-infection. Results are expressed as CFUs per gram of tissue
and represent values recorded separately for each of the ten mice.
Geometric means are indicated by horizontal bars. Statistical
comparisons are summarized above each panel. Asterisks indicate
statistically significant differences (*:
P<0.05; **: P<0.01,
***: P<0.001). NS indicates no
significance (P>0.05). The symbol ‘-’
indicates that the statistical comparison was not performed. Statistical
differences were determined using the non-parametric Wilcoxon Rank sum
tests (Prism 5.0). The origin of each strain is indicated; strain
background (DSY562 and DSY565) is indicated by filled or empty symbols,
respectively. See legend of Fig. 5 for strain designations.Taken together, these results strongly suggest that CgCDR1 and
PUP1, two genes upregulated by all CgPDR1
GOF mutations, are important for the enhanced virulence phenotype observed in
the azole-resistant isolate DSY565. Decreased virulence from DSY565-derived
strains was associated with decreased tissue colonization and mutant phenotypes
could be reverted by the corresponding wild type genes.
Overexpression of CgCDR1 and PUP1 in a
CgPDR1-independent manner
The overexpression of CgCDR1 and PUP1 is under
the control of CgPDR1 in C. glabrata. We
showed in the above experiments that both CgCDR1 and
PUP1 have impact on C. glabrata virulence.
However, these experiments were carried out in the background of a functional
CgPDR1 and it is possible that other
CgPDR1-dependent factors contribute to enhanced virulence
of azole-resistant isolates. We therefore expressed CgCDR1 and
PUP1 with a strong constitutive promoter
(TDH3) in the background of a CgPDR1
deletion strainto avoid interference with such factors. As observed in Fig. 7, the engineered strains
could overexpress both genes at different levels but still to higher levels than
pdr1Δ mutants. CgCDR1 levels were
approximately equal to those measured in the azole-resistant isolate DSY565
(Fig. 7A), while
PUP1 levels were higher (approx. 20-fold) when expressed
under the control of the TDH3 promoter than the native promoter
(Fig. 7B). However, both
genes were expressed to similar levels in DSY562 and DSY565 as expected from the
constitutive expression from the TDH3 promoter. Azole MICs
strains were 32 µg/ml fluconazole in strains overexpressing
CgCDR1 via the TDH3 promoter, while the
fluconazole MICs were almost identical to the parent strains when
PUP1 was overexpressed (1–2 µg/ml, Table 3), indicating that
CgCDR1 is the major mediator of azole resistance in our
strains.
Figure 7
Overexpression of CgCDR1 and PUP1
in a CgPDR1-independent manner.
Panel A: TDH3-dependent expression of
CgCDR1. Panel B:
TDH3-dependent expression of PUP1.
Quantification was performed by qRT-PCR. The values are averages of
three separate experiments and represent the increase in gene expression
relative to SFY196 (set at 1.00). Strains derived from DSY562 are
represented by black bars and the indicated names correspond to the
following strains: PDR1: SFY196,
pdr1Δ: SFY198,
pdr1Δ+TDH3p-CDR1: SFY200,
pdr1Δ+TDH3p-PUP1: SFY202.
Strains derived from DSY565 are represented by white bars and the
indicated names correspond to the following strains:
PDR1: SFY197,
pdr1Δ: SFY199,
pdr1Δ+TDH3p-CDR1: SFY201,
pdr1Δ+TDH3p-PUP1:
SFY203.
Table 3
Fluconazole susceptibilities of CgCDR1,
PUP1 and CgPDR1 mutant strains
derived from strains DSY562 and DSY565.
Fluconazole MIC (µg
ml−1)a
Wild type
pdr1Δ
cdr1Δ
pup1Δ
cdr1Δ+CgCDR1
pup1Δ+PUP1
cdr1Δ
pup1Δ
pdr1Δ+TDH3p-CDR1
pdr1Δ+TDH3p-PUP1
DSY562
4
1
1
2
4
4
1
32
1
DSY565
128
1
4
64
128
128
2
32
2
MICs were determined by the broth microdilution method according to
EUCAST document EDef 7.1 [42].
Overexpression of CgCDR1 and PUP1
in a CgPDR1-independent manner.
Panel A: TDH3-dependent expression of
CgCDR1. Panel B:
TDH3-dependent expression of PUP1.
Quantification was performed by qRT-PCR. The values are averages of
three separate experiments and represent the increase in gene expression
relative to SFY196 (set at 1.00). Strains derived from DSY562 are
represented by black bars and the indicated names correspond to the
following strains: PDR1: SFY196,
pdr1Δ: SFY198,
pdr1Δ+TDH3p-CDR1: SFY200,
pdr1Δ+TDH3p-PUP1: SFY202.
Strains derived from DSY565 are represented by white bars and the
indicated names correspond to the following strains:
PDR1: SFY197,
pdr1Δ: SFY199,
pdr1Δ+TDH3p-CDR1: SFY201,
pdr1Δ+TDH3p-PUP1:
SFY203.MICs were determined by the broth microdilution method according to
EUCAST document EDef 7.1 [42].The strains were next injected intravenously in mice and tissue burden were next
assessed from kidneys and spleen from sacrificed animals (Fig. 8). In general, when
CgCDR1 and PUP1 were overexpressed in a
pdr1Δ mutant background, tissue burdens were
significantly increased as compared to the parent strains. The colonization was
slightly lower when PUP1 was overexpressed as compared to
CgCDR1.
Figure 8
Effect of CgCDR1 and PUP1
overexpression on tissue colonization.
Panel A: Fungal tissue burdens in kidneys. Panel
B: Fungal tissue burdens in spleen. Tissue burden were
determined from BALB/c mice infected intravenously with
4×107 viable cells of C. glabrata
strains. Mice were sacrificed at day 7 post-infection. Results are
expressed as CFUs per gram of tissue and represent values recorded
separately for each of the ten mice. Geometric means are indicated by
horizontal bars and asterisks indicate statistically significant
differences (*: P<0.05; **:
P<0.01, ***:
P<0.001). NS indicates no significance
(P>0.05). Statistical differences were
determined using the non-parametric Wilcoxon Rank sum tests (Prism 5.0).
Strain background (DSY562 and DSY565) is indicated by filled or empty
symbols, respectively. For strains derived from DSY562, the indicated
names correspond to the following strains: DSY562-TDH3p: SFY196;
pdr1Δ-TDH3p: SFY198;
pdr1Δ-TDH3p-CDR1: SFY200
pdr1Δ-TDH3p-PUP1: SFY202. For
strains derived from DSY565, the indicated names correspond to the
following strains: DSY562-TDH3p: SFY197;
pdr1Δ-TDH3p: SFY199;
pdr1Δ-TDH3p-CDR1: SFY201
pdr1Δ-TDH3p-PUP1: SFY203.
Effect of CgCDR1 and PUP1
overexpression on tissue colonization.
Panel A: Fungal tissue burdens in kidneys. Panel
B: Fungal tissue burdens in spleen. Tissue burden were
determined from BALB/c mice infected intravenously with
4×107 viable cells of C. glabrata
strains. Mice were sacrificed at day 7 post-infection. Results are
expressed as CFUs per gram of tissue and represent values recorded
separately for each of the ten mice. Geometric means are indicated by
horizontal bars and asterisks indicate statistically significant
differences (*: P<0.05; **:
P<0.01, ***:
P<0.001). NS indicates no significance
(P>0.05). Statistical differences were
determined using the non-parametric Wilcoxon Rank sum tests (Prism 5.0).
Strain background (DSY562 and DSY565) is indicated by filled or empty
symbols, respectively. For strains derived from DSY562, the indicated
names correspond to the following strains: DSY562-TDH3p: SFY196;
pdr1Δ-TDH3p: SFY198;
pdr1Δ-TDH3p-CDR1: SFY200
pdr1Δ-TDH3p-PUP1: SFY202. For
strains derived from DSY565, the indicated names correspond to the
following strains: DSY562-TDH3p: SFY197;
pdr1Δ-TDH3p: SFY199;
pdr1Δ-TDH3p-CDR1: SFY201
pdr1Δ-TDH3p-PUP1: SFY203.When virulence of the same strains was tested in the immuno-suppressed mice
model, the results showed no significant difference between strains
overexpressing CgCDR1 or PUP1 as compared to
the pdr1Δ mutants (Fig. 9). A closer inspection of the obtained
data still suggests that strains overexpressing CgCDR1 or
PUP1 tended to be more virulent than their parents. At day
15 post-infection, 90% of the mice infected with the
pdr1Δ mutants survived, while approximately 70%
survived when infected with the overexpressing strains (Fig. 9).
Figure 9
Virulence of C. glabrata in strains overexpressing
CgCDR1 and PUP1.
Immuno-suppressed mice were infected as described in Material and Methods with strain derived from DSY562
and DSY565. Statistical differences were performed using the Log-rank
Mantel-Cox test (Prism 5.0) by comparing survival curves of mice
infected by the strains as indicated. The comparison between
DSY565-TDH3p and DSY565-TDH3p was significant
(p = 0.04) while comparisons of strains
overexpression CgCDR1 and PUP1 with
parents (pdr1Δ-TDH3) was not significant. See
legend of Fig. 8 for
strain designations.
Virulence of C. glabrata in strains overexpressing
CgCDR1 and PUP1.
Immuno-suppressed mice were infected as described in Material and Methods with strain derived from DSY562
and DSY565. Statistical differences were performed using the Log-rank
Mantel-Cox test (Prism 5.0) by comparing survival curves of mice
infected by the strains as indicated. The comparison between
DSY565-TDH3p and DSY565-TDH3p was significant
(p = 0.04) while comparisons of strains
overexpression CgCDR1 and PUP1 with
parents (pdr1Δ-TDH3) was not significant. See
legend of Fig. 8 for
strain designations.These results support the idea that the individual overexpression of
CgCDR1 and PUP1 contributed moderately to
virulence, however their overexpression was more important for maintaining
tissue colonization. Taken together, our results indicate that both
CgCDR1 and PUP1 are important mediators of
C. glabrata virulence, but that their individual
overexpression per se is not sufficient to mimic the increased
virulence conferred by CgPDR1 GOF mutations.
Discussion
In this study we analysed the expression profiles of GOF mutations obtained from
azole-resistant isolates in a previous study [13]. The analysis of transcription
profiles gave only two genes commonly upregulated by all GOFs,
CgCDR1 and PUP1. Other investigators have
analysed transcription profiles of azole-resistant isolates and thus enable
comparisons with our study. Recently, Tsai et al.
[16] obtained the
transcription profiles of seven clinical pairs, each containing an azole-susceptible
and an azole-resistant isolate. The CgPDR1 GOF obtained from these
strains were different from those investigated here, except for the L280F GOF. Their
study highlighted 45 genes regulated (by ≥2-fold change as compared to the
susceptible parent) by at least one clinical pair. Our study revealed a larger set
of genes regulated by at least one GOF (i.e. 626 genes). CgCDR1 and
PUP1, the two genes selected in our study were found commonly
upregulated by all GOFs in the Tsai et al.
[16] study including
by decreasing expression levels, CgCDR1, CAGL0M12947g
(PUP1), CAGL0F02717g (CgCDR2/PDH1),
CAGL0K00715g (RTA1), CAGL0C03289g (YBT1),
CAGL0G00242g (YOR1), CAGL0K09702g, CAGL0A00451g
(CgPDR1) and CAGL0G01122g. In a study published by Vermitsky
et al.
[14], one
azole-resistant isolate (F15) was compared to an azole-susceptible parent. From the
109 genes regulated by at least two-fold in the resistant isolate, 34 were found
regulated (out of 626 genes) in our study, among which CgCDR1 and
PUP1, the latter being the most upregulated gene in their
study. The differences in transcriptional profiles could be explained by several
factors including experimental conditions, type of array technology and intrinsic
differenced between isolates used in all three studies. One major difference between
our study and others is that we used an isogenic background in the reintroduction of
the seven individual CgPDR1 alleles, which prevents intrinsic
strain variations. This is perhaps a reason for the difference between the number of
genes regulated in at least one condition in our study (626 genes regulated by at
least one GOF) and that of Tsai et al.
[16] (45 genes
regulated in at least one strain pair). This view is supported by separate results
obtained with the transcriptional comparison of two related clinical strains, DSY717
and DSY2317, the latter containing the CgPDR1 GOF L1081F. Between
these two isolates, only 39 genes were regulated by at least two-fold (File S3),
including CgCDR1 and PUP1, thus suggesting that
intrinsic strain variations may mask the real effect of GOF on the C.
glabrata transcriptome.The overlap between our study and others [14], [16] falls into 14 regulated genes
(Figure
S4). Besides CgCDR1 and PUP1, which
were found consistently upregulated in all three studies, the other genes may
constitute a core set of genes regulated by CgPDR1. It is
interesting to observe that the 14 genes are almost all found upregulated in the
data provided by Vermitsky et al.
[14] and Tsai
et al.
[16], while in our
case, the regulation of these genes is dependent on the type of reintroduced GOF in
the same genetic background. Several hypotheses will be provided below.Given that CgPDR1 is a major regulator of azole resistance in
C. glabrata and should act on regulated genes via PDRE binding
elements in the promoters of regulated genes, the consensus for
CgPDR1 binding (TCCRYGSR) was proposed and we searched
systematically for this motif in the promoter regions of the 626 genes regulated by
at least one GOF in our study. Fourty six (46) genes contained the consensus. We
asked whether the degree of upregulation obtained by each GOF could be associated by
the presence of the consensus. Our data show that the PDRE consensus was present in
seven (for SFY101) to 45% (for SFY115) of the upregulated genes in single to
several copies (see File S1). The presence of the PDRE could be detected in the
downregulated genes, however the proportion was low (between 1–4%) and
usually the detected PDRE occurred in a single copy. Regulatory elements on genes
dependent on individual GOF were also searched with the RSAT tool (File S4). The
following consensus site (TCCACGGA) could be detected in the promoters of
upregulated genes from the GOF L280F (SFY115) and P822L (SFY116) and D1082G
(SFY103). It resembles the PDRE consensus proposed by Vermitsky et
al.
[14] and fits
to the sequence TCCACGGA published by Tsai et al.
[16]. In complement
to these analyses, we also observed that the PDRE consensus was present in 11 out of
14 promoters of regulated genes from three different data sets (Figure S4) and
thus highlights the relevance of this binding site for the regulation of these
genes. Future studies will be needed to address the genome-wide occupancy of CgPdr1
by chromatin immuno-precipitation experiments in C. glabrata. One
can expect that CgPdr1 will bind to some extent to the genes commonly regulated by
the different studies discussed here.We showed here that GOF mutations in CgPDR1 have differential effect
on transcriptional profiles. This result was unexpected since previous results
investigating the effect of GOF mutations in regulators of drug resistance in other
yeast species (for example MRR1 or TAC1 mutations
in C. albicans) have concluded to a convergence of transcriptional
profiles with different mutations on a same regulator [22], . As mentioned from data shown in
Fig. 1A, while a pairwise
comparison between two GOFs can yield good correlation between expressed genes,
another example between R376W and P822L gave striking different results: here, about
55% of the regulated genes showed an inverse expression pattern. Such
patterns is not unique to our study: Tsai et al.
[16] have analysed
the expression of a few genes including CgCDR1,
CgPDR1, CgSNQ2 in a set of isogenic strains
into which individual GOF were re-introduced. The authors observed a GOF-dependent
gene expression pattern as documented here. Presently, no clear explanations could
be provided four our observations. However, taking S. cerevisiae
homologues Pdr1 and Pdr3 as models, some hypothesis can be formulated. In S.
cerevisiae, the expression of the ABC-transporters
PDR5, SNQ2, PDR10,
PDR15 and YOR1 is controlled by Pdr1p/Pdr3p.
In addition, Yrr1p modulates the expression of both SNQ2 and
YOR1. Similarly to PDR3, YRR1
is autoregulated via PDREs in its promoter [25], [26]. Pdr1p and Pdr3p can act as
homo- or heterodimers and can positively or negatively regulate expression of target
genes, indicating that additional factors can modulate their activity [27], . For
instance, the transcriptional regulator Rdr1p, acts as a repressor of
PDR5 in a PDRE-dependent manner and heterodimers of Rdr1p/Pdr1p
or Rdr1p/Pdr3p compete with Pdr1p/Pdr3p for binding to PDREs [29], [30]. Similarly, the zinc cluster
protein Stb5p also acts through PDREs and forms predominantly heterodimers with
Pdr1p (no interaction with Pdr3p or Yrr1p yet described). Yrr1p is only present as a
homodimer [31].
Pdr1 and Pdr3 can also associate to different subunits of the Mediator complex
including Med15 and Med12, which is an important step into the recruitment of RNA
polymerase II for target gene transcription. These two subunits are present in the
C- and L-Mediator complexes, which may act as positive and negative regulator of
transcription, respectively [32]. While both Pdr1 and Pdr3 can bind to Med15, Pdr3 binds
in a specific manner to Med12 only in cells with mitochondrial dysfunctions [32]. With respect to
CgPdr1, which combined in a single gene properties shared by Pdr1 and Pdr3, these
studies suggest that CgPdr1 may interact with other DNA-binding proteins and may
also associate with different subunits of the Mediator complex. The different GOF
detected in CgPdr1 may alter in a positive or negative manner these interactions and
thus could result in differentiated gene expression patterns as observed in our
study. Future studies will be needed to verify this hypothesis.Virulence and tissue burden quantitative assays performed in this study support the
idea that CgCDR1 and PUP1 are important for the
pathogenesis of C. glabrata at some stage of the infection.
Currently our data cannot discriminate whether or not C. glabrata
can replicate in the tested animal models. At least, the tested strains can persist
over the time course of the experimentation, which is consistent with similar
experiments performed in mice [33]. Interestingly, enhanced virulence has been observed in
other C. glabrata isolates where azole resistance results from
mitochondrial dysfunctions independently of GOF CgPDR1 mutations.
In this case, CgCDR1 and PUP1 are strongly
upregulated and thus may also contribute to favor C. glabrata in
host interactions [34]. The specific role of individual gene in fungal-host
interaction remains to be solved however several reports have already identified
ABC-transporters as able to contribute to selective advantages under host
conditions. For example, the Cryptococcus neoformans ABC
transporter AFR1 was shown to interfere with lysosome acidification
in macrophages to increase its survival. In particular, azole-resistant isolates
showing increased AFR1 expression were more virulent than their
parental azole-susceptible isolates [35], [36], [37], which highlights the relevance
of the association between drug resistance and virulence observed here.
Interestingly, a recent study reported that AFR1 upregulation could
be obtained by reversible chromosome duplication and thus suggests C.
neoformans could use this mechanism to modulate its virulence [38]. In another
fungal species, Botrytis cinerea, which is a fungus causing losses
of commercially important fruits, vegetables and vineyards worldwide,
ABC-transporter upregulation was associated with drug resistance due to the use of
fungicides. B. cinerea drug resistance is spreading, thus arguing
against a fitness cost due to ABC-transporter upregulation [39]. Regarding
PUP1, no other homologues were found yet involved in microbial
pathogenesis and therefore the exact role of the product encoded by this gene in
C. glabrata pathogenesis remains an open question.We have attempted the overexpression of both genes in a
CgPDR1-independent manner and animal experiments yielded results in
favor of the hypothesis that CgCDR1 and PUP1
contribute to virulence. However, while tissue burden of mice were consistently
increased when CgCDR1 and PUP1 were overexpressed
(Fig. 8), virulence assays
failed to discriminate in a statistical manner survival curves obtained with the
overexpressing strains (Fig. 9).
Several hypotheses could be provided explaining these results. First, it is possible
that enhanced virulence needs the simultaneous overexpression of
CgCDR1 and PUP1 to result in significant
survival differences with parental strains. Second, it is also possible that,
because the overexpression was carried out in a pdr1Δ mutant,
other CgPDR1-dependent genes still need to be co-expressed for
phenocopying the enhanced virulence of the original strain DSY565. Moreover, it is
possible that the animal model used here (mouse intravenous infection) is not best
suited to reveal the role of the two investigated genes. Urinary tract infection
models might represent an alternative, as demonstrated by Domergue et
al.
[40]. These
questions are currently being addressed in the laboratory.In conclusion, our study started from a transcriptional analysis to identify
important mediators of azole resistance and virulence in C.
glabrata. The ABC transporter CgCDR1 contributes
almost solely to azole resistance but but has other activities contributing to the
enhanced virulence of azole-resistant isolates. Nevertheless, this protein could be
targeted for the design of inhibitors interfering both with resistance and virulence
of this yeast species. ABC-transporter inhibitors have been already described and
among them some are used in animal health for parasite protection (i.e. mylbemycins)
and have low toxicity profiles for mammalian cells [41]. It will be therefore
interesting to test these substances in the future to decrease drug resistance and
its associated virulence in C. glabrata.
Materials and Methods
Strains and growth media
C. glabrata strains used in this study are listed in Table 4. Yeasts were grown
in complete medium YEPD (1% Bacto peptone, Difco Laboratories, Basel,
Switzerland), 0.5% Yeast extract (Difco) and 2% glucose (Fluka,
Buchs, Switzerland). To prepare inocula for experimental infections, yeasts were
grown in YEPD medium. When grown on solid media, 2% agar (Difco) was
added. YPD agar plates containing nourseothricin (clonNAT, Werner BioAgents) at
200 mg ml−1 were used as a selective medium for growth of yeast
transformant strains. FLP-mediated excision of the
SAT1 cassette was induced by growing the cells for 4 h at
30°C in YCB-BSA medium (23.4 g l−1 yeastcarbon base and 4
g l−1 bovine serum albumin; pH 4.0). One hundred to 200 cells
were then spread on YPD plates containing nourseothricin (15 µg
ml−1) and grown for 48 h at 30°C to obtain
nourseothricin-sensitive strains. This drug concentration can distinguish
between nourseothricin-resistant and nourseothricin-sensitive cells.
Escherichia coli DH5 was used as a host for plasmid
construction and propagation. DH5α was grown in Luria-Bertani broth or on
Luria-Bertani agar plates supplemented with ampicillin (0.1 mg
ml−1) when required.
Table 4
Strains used in this study.
Strain
Parental strain
Genotype
Reference
DSY562
Related to DSY565
Azole-susceptible clinical strain
[11]
DSY565
Azole-resistant clinical strain
[11]
DSY717
Related to DSY2317
Azole-susceptible clinical strain
[13]
DSY2317
Azole-resistant clinical strain
[13]
SFY92
DSY562
pdr1Δ::SAT1-FLIP
[13]
SFY93
SFY92
pdr1Δ::FRT
[13]
SFY94
DSY565
pdr1Δ::SAT1-FLIP
[13]
SFY95
SFY94
pdr1Δ::FRT
[13]
SFY101
SFY93
pdr1Δ::PDR1R376W-SAT1
[13]
SFY103
SFY93
pdr1Δ::PDR1D1082G-SAT1
[13]
SFY105
SFY93
pdr1Δ::PDR1T588A-SAT1
[13]
SFY109
SFY93
pdr1Δ::PDR1E1083Q-SAT1
[13]
SFY111
SFY93
pdr1Δ::PDR1Y584C-SAT1
[13]
SFY114
SFY93
pdr1Δ::PDR1-SAT1
[13]
SFY115
SFY93
pdr1Δ::PDR1L280F-SAT1
[13]
SFY116
SFY93
pdr1Δ::PDR1P822L-SAT1
[13]
SFY148
DSY562
cdr1Δ::SAT1-FLIP
This study
SFY149
DSY565
cdr1Δ::SAT1-FLIP
This study
SFY150
DSY562
pup1Δ::SAT1-FLIP
This study
SFY151
DSY565
pup1Δ::SAT1-FLIP
This study
SFY152
SFY148
cdr1Δ::FRT
This study
SFY153
SFY149
cdr1Δ::FRT
This study
SFY154
SFY150
pup1Δ::FRT
This study
SFY155
SFY151
pup1Δ::FRT
This study
SFY159
SFY154
pup1Δ::PUP1-SAT1
This study
SFY160
SFY155
pup1Δ::PUP1-SAT1
This study
SFY161
SFY152
cdr1Δ::CDR1-SAT1
This study
SFY162
SFY153
cdr1Δ::CDR1-SAT1
This study
SFY167
DSY562
CDR1p::[pSF109]
This study
SFY168
DSY565
CDR1p::[pSF109]
This study
SFY169
SFY152
cdr1Δ::FRT,
pup1Δ::SAT1
This study
SFY170
SFY153
cdr1Δ::FRT,
pup1Δ::SAT1
This study
SFY173
DSY562
PUP1::[pSF113]
This study
SFY174
DSY565
PUP1::[pSF113]
This study
SFY196
DSY562
ScTDH3p-SAT1
This study
SFY197
DSY565
ScTDH3p-SAT1
This study
SFY198
SFY93
pdr1Δ::FRT,
ScTDH3p-SAT1
This study
SFY199
SFY95
pdr1Δ::FRT,
ScTDH3p-SAT1
This study
SFY200
SFY93
pdr1Δ::FRT,
ScTDH3p-CDR1-SAT1
This study
SFY201
SFY95
pdr1Δ::FRT,
ScTDH3p-CDR1-SAT1
This study
SFY202
SFY93
pdr1Δ::FRT,
ScTDH3p-PUP1-SAT1
This study
SFY203
SFY95
pdr1Δ::FRT,
ScTDH3p-PUP1-SAT1
This study
Drug susceptibility assays
The C. glabrata strains were tested for azole susceptibility
with the broth microdilution method described in the EUCAST document EDef 7.1
[42].
Briefly, aliquots of 1.5×105 cells ml−1 were
distributed into wells of a microtiter plate in RPMI 1640 containing 2%
glucose and incubated at 35°C for 24 h. Endpoint readings were recorded with
an automatic plate reader (Multiskan Ascent, Thermo) and the lowest azole
concentration that reduced growth to 50% of that of the drug-free control
was defined as the MIC.
Construction of C. glabrata microarrays
The nucleotide sequences of the 5283 C. glabrata ORFs and the
mitochondrial genome were downloaded from the Génolevure Consortium
(http://www.genolevures.org/). Following the Agilent eArray
Design guidelines, two separate probe sets for each ORF were designed, each
consisting of 60 base oligonucleotides. The probe selection was performed using
the GE Probe Design Tool. Probes were filtered following their base composition
and distribution, cross-hybridization potential and melting temperature to yield
two probe sets representing each 5210 nuclear and 6 mitochondrial ORFs. These
probes cover more than 98% of the nuclear genome and represent 6 out of
the 8 mitochondrial protein-encoding genes. For quality control and
normalization purposes, 103 probes were selected randomly and spotted 20 times
throughout each array in addition to standard Agilent controls including spike
controls for intra- and inter-array normalizations. C. glabrata
custom arrays were manufactured in the 8×15 k format by Agilent
Technologies.
cRNA synthesis, one-color labelling and C. glabrata arrays
hybridization
Sample preparation was performed on three biological triplicates. Total RNA was
extracted from log phase cultures in liquid YEPD as previously described [8]. Briefly,
after centrifugation of 5 ml culture (corresponding to 108 cells),
the yeast cell pellet was mixed with 0.3 g of glass beads, 300 µl of RNA
extraction buffer (0.1 M Tris-HCl at pH 7.5, 0.1 M LiCl, 10 mM EDTA, 0.5%
SDS) and 300 µl of phenol-chloroform-isoamyl alcohol
(24∶24∶1). After 1 min of vortexing in a bead beater (Fastprep-24
Instrument, MP Biomedicals Switzerland, Zürich), the aqueous phase was
re-extracted with phenol-chloroform-isoamyl alcohol, and RNA was precipitated
with 600 µl of ethanol at −20°C for 1 h. The RNA pellet was
resuspended in 50 µl of diethyl pyrocarbonate-treated H2O. The
integrity of the input template RNA has been determined prior to
labeling/amplification, using Agilent RNA 6000 Nano LabChip kit and 2100
bioanalyzer (Agilent Technologies). Agilent's One-Color Quick Amp Labeling
Kit (Agilent Technologies) was used to generate fluorescent cRNA according to
the manufacturer's instructions. Briefly, 1 µg of total RNA from each
sample was used to which a spike mix and T7 promoter primers were added, both of
which are provided by the manufacturer. cDNA synthesis was promoted by MMLV-RT
(Moloney Murine Leukemia Virus Reverse Transcriptase) in the presence of dNTPs
and RNaseOUT. Next, cRNA was produced from this first reaction with T7 RNA
polymerase, which simultaneously amplifies target material and incorporates
cyanine 3-labeled CTP. The labelled cRNAs were purified with RNeasy Mini Kit
(Qiagen) and quantified using NanoDrop ND-1000 UV-VIS Spectrophotometer. 600 ng
of Cy3-labelled cRNAs were fragmented and hybridized for 17 h at 65°C to
each array using the Gene Expression Hybridization Kit (Agilent Technologies)
and a gasket slide with a 8 microarrays/slide format for sample hybridization to
separate each sample in specific sub-arrays of the 8×15 K format.
Microarrays data analysis
Slides were washed and processed according to the Agilent 60-mer Oligo Microarray
Processing protocol and scanned on a Agilent microarray scanner G2565BA (Agilent
Technologies). Data were extracted from the images with Feature Extraction (FE)
software (Agilent Technologies). FE software flags outlier features, and detects
and removes spatial gradients and local backgrounds. Data were normalized using
a combined rank consistency filtering with LOWESS intensity normalization.The gene expression values obtained from FE software were imported into
GeneSpring 10.0.2 software (Agilent Technologies) for preprocessing and data
analysis. For inter-array comparisons, a linear scaling of the data was
performed using the 75th percentile signal value of all of non-control probes on
the microarray to normalize one-color signal values. Probe sets with a signal
intensity value below the 20th percentile were considered as absent and
discarded from subsequent analysis. The expression of each gene was normalized
by its median expression across all samples. Genes were included in the final
data set if their expression changed by at least 2-fold between each strain
expressing a CgPDR1 GOF allele and the strain SFY114 expressing
the CgPDR1 wild type allele in at least two independent
experiments. Corrected p-value (<0.05) was chosen as the cut-off for
significance. Validation of genes found regulated by microarray analysis was
performed by qRT-PCR analysis (see below for technical details) on a set of nine
different genes. In general, the correlation found between qRT-PCR and
microarray data was excellent (see Figure S1). Microarray data have been
uploaded to the NCBI GEO microarray repository. The GEO accession number for the
C. glabrata Agilent array is GPL10713 and the accession
numbers for the data are GSE23827, GSE23828 and GSE23829.
Use of bioinformatic tools
The analysis of consensus pattern on C. glabrata promoters
(−800 to −1) was performed using the Regulatory Sequence Analysis
Tools (RSAT: http://rsat.ulb.ac.be/rsat/index.html) and implemented to the
pattern discovery tool (oligo-analysis). The settings were those supplied by
default by the tool provider. The position-specific scoring matrices (PSSM)
consensus matrices were converted using statistical parameters to consensus
patterns and viewed via Weblogo [43].GO term enrichment analysis in the investigated genes was carried out using the
Generic Gene Ontology (GO) Term Finder online tool available at http://quantbio.princeton.edu/toolsResources.html.
Quantitative real-time RT-PCR (qRT-PCR)
Total RNA was extracted from log phase cultures with an RNeasy Protect Mini kit
(Qiagen) by a process involving mechanical disruption of the cells with glass
beads and an RNase-free DNase treatment step as previously described [44].
Expression of the CgCDR1, CgCDR2 and
CgSNQ2 genes was quantitatively assessed with real-time
RT-PCR in an i-Cycler iQ system (Bio-Rad). All primers and probes [44] were
designed with Beacon Designer 2 (version 2.06) software (Premier Biosoft
International) and synthesized by MWG Biotech (Ebersberg, Germany). qRT-PCRwere
carried out as previously described [44]. Each reaction was run
in triplicate on three separate occasions. For relative quantification of the
target genes, each set of primer pairs and the Taqman probes were used in
combination with the primers and probe specific for the CgACT1
reference gene in separate reactions [9].CgPDR1 and PUP1 expression levels were
determined by real-time qRT-PCR in a StepOne Real-time PCR System (Applied
Biosystems) [13] using the Mesa Blue qPCR Mastermix Plus for Sybr
assay kit (Eurogentec). Each reaction was run in triplicate on three separate
occasions. CgPDR1 and PUP1 expression levels
were normalized by CgACT1 expression. Changes
(n-fold) in gene expression relative to that of control
isolate SFY114 were determined from CgACT1-normalized
expression levels. The primers used for PUP1 quantification are
PUPa (5′-cactggtgcgctgaaaggtg-3′) and PUPb
(5′-tgtcccaggctatctttgcc-3′). The primers used
for CgPDR1 and CgACT1 quantification were
previously described [13]. A two-fold increase in the expression level of each
gene was arbitrarily considered as significant [9].
Disruption and replacement of CgCDR1
For the disruption of CgCDR1, the SAT1 flipping
method was employed (Reuss et al., 2004). The complete
CgCDR1 ORF flanked by 500 bp was amplified by PCR from
genomic DNA of DSY562 using the primers CgCDR1-ApaI (5′-gcgcaaaGGGCCCtacatgttggcaaacccagg-3′) and
CgCDR1-SacII (5′-gcgcaaaCCGCGGttggacaattgaatcagccg-3′)
containing ApaI and SacII restriction sites,
respectively, and inserted into pBluescript II SK(+) to yield pSF87.
CgCDR1 deletion was created by PCR using the primers
CgCDR1-XhoI (5′-gcgcaaaCTCGAGtgttacttttctttactttg-3′) and
CgCDR1-NotI (5′-gcgcaaaGCGGCCGCtaatttatttagcctgcgct-3′) and
pSF87 as a template. The resulting PCR product was digested with
XhoI and NotI and ligated to a 4.7 kb
XhoI-NotI fragment containing the
SAT1 flipper cassette from pSFS1 (referred as to
FLIP) [45] to yield pSF91. This plasmid was linearised by
digestion with ApaI and SacII and transformed
into DSY562 and DSY565. After selection of transformants on
nourseothricin-containing YEPD plates (200 µg/ml), the
CgCDR1 deletion strains SFY148 and SFY149, respectively,
were obtained.For CgCDR1 replacement, the SAT1 cassette was
excised in SFY148 and SFY149 to obtain the nourseothricin-sensitive strains
SFY152 and 153 respectively. The 600-bp of the 3′UTR of
CgCDR1 ORF was amplified by PCR from DSY562 genomic DNA
using the primers CgCDR1-NotIb (5′-gcgcaaaGCGGCCGCaaattttagacagcgctcgg-3′) and
CgPDR1-SacIIb (5′-gcgcaaaCCGCGGtttgcgacaaattgggcagc-3′) and
inserted into pSFS1 to yield pSF97. The complete CgCDR1 ORF
flanked by 500-bp upstream and 250-bp downstream was amplified using the primers
CgCDR1-ApaI (see above) and CgCDR1-XhoIb (5′-gcgcaaaCTCGAGtatacctatgagcagatttc-3′) and
inserted into pSF97 to yield pSF103. This plasmid was linearised by
ApaI and SacII and transformed into SFY152
and SFY153. After selection of transformants on, the CgCDR1
revertant strains SFY161 and SFY162 were obtained.
Disruption and replacement of PUP1
For the disruption of PUP1 (CAGL0M12947g), the complete
PUP1 ORF flanked by 500-bp was amplified using the primers
PUP-KpnI (5′-gcgcaaaGGTACCcattcatacccattccgtgg-3′) and
PUP-SacI (5′-gcgcaaaGAGCTCtaggattcctgaaatgctgg-3′)
containing KpnI and SacI restriction sites,
and inserted into pBluescript II SK(+) to yield pSF90.
PUP1 deletion was created by PCR using the primers PUP-ApaI
(5′-gcgcaaaGGGCCCattgtaacttatgttgtctg-3′) and
PUP-SacII (5′-gcgcaaaCCGCGGagtgaccatactacacatta-3′) and
pSF90 as a template. The resulting PCR product was digested with
ApaI and SacII and ligated to a 4.7 kb
ApaI-SacII fragment containing the
SAT1 flipper cassette from pSFS1 [45] to yield pSF94. This plasmid
was linearised by digestion with KpnI and SacI
and transformed into DSY562 and DSY565 to obtain the PUP1
deletion strains SFY150 and SFY151, respectively.Another PUP1 deletion cassette was constructed to obtain strains
with deletion in both CgCDR1 and PUP1. As
described above, pSF90 was amplified using the primers PUP-ApaI and PUP-SacII.
The SAT1 marker without the flipper system was amplified using
the primers SAT1-ApaI (5′-gcaaaGGGCCCggaccacctttgattgtaaatagt-3′) and
SAT1-SacII 5′-(ataagaatCCGCGGgtcaaaactagagaataataaag-3′)
and pSFS1 as template. The resulting PCR products were digested with
ApaI and SacII and ligated to yield
pSF101. This plasmid was transformed into the CgCDR1 deletion
strains SFY148 and SFY149 to obtain the CgCDR1 and
PUP1 double deletion strains SFY169 and SFY170,
respectively.For PUP1 replacement, the SAT1 cassette was
excised in SFY150 and SFY151 to obtain the nourseothricin-sensitive strains
SFY154 and SFY155 respectively. PUP1 replacement cassette was
created by PCR using the primers PUP-ApaIb (5′-gcgcaaaGGGCCCcgaatctattggtcgcaagg-3′) and
PUP-SacIIb (5′- gcgcaaaCCGCGGgtaagtcatggagcttatgc-3′) and pSF90 as a
template. The resulting PCR product was digested with ApaI and
SacII and ligated to a 4.7 kb
ApaI-SacII fragment containing the
SAT1 flipper cassette from pSFS1 [45] to yield pSF98. This plasmid
was linearised by KpnI and SacI and
transformed into SFY154 and SFY155 to obtain the PUP1 revertant
strains SFY159 and SFY160. All above-constructed strains were verified by
Southern blot analysis (see Figure S2). Transformants were selected onto
nourseothricin-containing YEPD plates.
Overexpression of CgCDR1 and PUP1
For CgCDR1 and PUP1 overexpression, the
SAT1 marker was amplified using the primers SAT1-NotI
(5′-ataagaatGCGGCCGCgtcaaaactagagaataataaag-3′)
and SAT1-BamHI (5′-gcaaaGGATCCggaccacctttgattgtaaatagt-3′) and
inserted into the NotI-BamHI restriction sites
of pBluescript II SK(+) to yield pSF30. This plasmid was then digested with
XhoI and EcoRI and ligated to a 1.3 kb
XhoI-EcoRI fragment containing the
C. glabrata CEN-ARS from pCgACU-5 (Kitada et
al., 1996) to yield pSF126. The 0.7 kb
EcoRI-BamHI fragment from
yEpGAP-Cherry-MCS [46] containing the constitutive S. cerevisiaeTDH3 promoter, was ligated into pSF126 to yield pSF127. The
complete CgCDR1 and PUP1 ORFs were amplified
by PCR from genomic DNA of DSY562 using the primers CgCDR1-EcoRIfor
(5′-actGAATTCatgtctcttgcaagtgacaag-3′) and
CgCDR1-EcoRIrev (5′-ataGAATTCtatacctatgagcagatttc-3′), and
PUP-EcoRIfor (5′-actGAATTCatgtcagacagcagggaaat-3′) and
PUP-EcoRIrev (5′-ataGAATTCcgaatctattggtcgcaagg-3′),
respectively. The resulting PCR products were digested by EcoRI
and inserted downstream of the TDH3 promoter of pSF127 to yield
the CgCDR1 and PUP1 overexpressing vectors,
pSF129 and pSF130, respectively.The plasmids pSF129 and pSF130 were transformed into the PDR1
deletion strains SFY93 and SFY95 to obtain strains overexpressing
CgCDR1 (SFY200 and SFY201) or PUP1,
(SFY202 and SFY203). As controls, plasmid pSF127 was introduced in strains
DSY562, DSY565 and derivatives pdr1Δ mutants SFY93 and
SFY95 to yield strains SFY196, SFY197, SFY198 and SFY 199, respectively.
Transformants were selected onto nourseothricin-containing YEPD plates.
Construction of the fusions CgCDR1p-3xGFP
and PUP1-3xGFP
To express GFP under the control of the CgCDR1
promoter, the SAT1 marker was amplified using the primers
SAT1-StuI (5′-ataagaatAGGCCTgtcaaaactagagaataataaag-3′)
and SAT1-BamHI (see above) and inserted into the
StuI-BglII restriction sites of
pBS-3xGFP–TRP1 [47] containing three tandemly fused GFP
genes (3xGFP) to yield pSF104. Five hundred bp of the
CgCDR1 promoter were amplified from genomic DNA of using
the primers CgCDR1p-BamHI (5′-gcgcaaaGGATCCtacatgttggcaaacccagg-3′) and
CgCDR1p-BclI (5′-gcgcaaaTGATCAtgttacttttctttactttg-3) containing
BamHI and BclI restriction sites,
respectively, and inserted into the BamHI site of pSF104 to
yield pSF109. This plasmid was linearised by digestion with
SphI and transformed into DSY562 and DSY565 to obtain strains
SFY167 and SFY168, respectively.To fuse the 3xGFP gene and the PUP1 ORF, the
complete PUP1 ORF was amplified from DSY562 genomic DNA using
the primers PUP-BglIIf (5′-gcgcaaaAGATCTatgtcagacagcagggaaat-3′) and
PUP-BglIIr (5′-gcgcaaaAGATCTtgtatgatcattatcctt-3′) and
inserted into the BamHI site of pSF104 to yield pSF113. This
plasmid was linearised by digestion with NcoI and transformed
into DSY562 and DSY565 to obtain strains SFY173 and SFY174, respectively.
Transformants were selected onto nourseothricin-containing YEPD plates.
Confocal microscopy
To label mitochondria, log phase cultures of strain SFY174 were treated with 0.25
µM Mitotracker® Red CMXRos (Molecular Probes) for 30 min and washed
with PBS. C. glabrata cells were fixed in 3.5%
para-formaldehyde at 4°C for 5 min followed by 10 min at room temperature.
Cells were then washed 3–5 min with phosphate-buffered saline (10 mM
Na2HPO4, 2 mM KH2PO4, 140 mM
NaCl, 3 mM KCl, pH 7.4). The remaining fixative was quenched with 100 mM
Tris-HCl, pH 8.0. Fluorescence was analyzed with a confocal fluorescence
microscope (Zeiss LSM 510 Meta, Jena, Germany).
Flow cytometry
Groups of four female BALB/c mice (20 to 25 g; Charles-River) were injected into
their lateral vein with saline suspensions containing 4×107
colony-forming units (CFU) of the C. glabrata strains (each in
a volume of 250 µl). After seven days, mice were sacrificed by
CO2 inhalation, and kidneys were excised aseptically and
homogenized in 10 ml sterile water. Kidneys homogenates were washed twice with
FACS buffer (1×PBS pH 7.4, 5% FCS, 2 mM EDTA pH 8.0) and
resuspended in 2 ml FACS buffer. Remaining tissue aggregates and cell clumps
were eliminated by filtration through 50-µm cell strainers. A
FACSCalibur® system (BD Bioscience) and the CellQuest™ software were
used for analysis.
Animal studies
Female BALB/c mice (20 to 25 g) were purchased from Harlan Italy S.r.l (San
Pietro al Natisone, Udine, Italy) and inbred in-house. The mice were housed in
filter-top cages with free access to food and water. To establish C.
glabrata infection, mice were injected into their lateral vein with
saline suspensions of the C. glabrata strains (each in a volume
of 200 µl).In virulence studies, a group of ten immuno-suppressed mice was established for
each yeast strain. Mice were rendered neutropenic by intraperitoneal
administration of cyclophosphamide (200 mg kg−1 of body weight
per day) three days before challenge and on the day of infection. Mice were
injected with 7×107 colony-forming units (CFU) of each of the
investigated strains. For tissue burden experiments, immuno-competent mice were
inoculated with 4×107 CFU. After seven days, mice were
sacrificed by use of CO2 inhalation, and target organs (spleen and
kidney) were excised aseptically, weighted individually, and homogenized in
sterile saline by using a Stomacher 80 device (Pbi International, Milan, Italy)
for 120 s at high speed. Organ homogenates were diluted and plated onto YPD.
Colonies were counted after two days of incubation at 30°C, and the numbers
of CFU g−1 of organ were calculated. For survival experiments,
mice were made neutropenic as previously described [48] and then injected with
7×107 CFUs of each of the strains studied. Mice were
monitored with twice-daily inspections and those that appeared moribund or in
pain were sacrificed by use of CO2 inhalation.CFU counts were analyzed with non-parametric Wilcoxon Rank sum tests, while mean
survival times were compared among groups by using the long-rank test. A
P-value of less than 0.05 was considered to be
significant.
Ethics Statement
The animal experiments were performed under a protocol approved by the
Institutional Animal Use and Care Committee at Università Cattolica del
S. Cuore, Rome, Italy (Permit number: L21, 10/02/2008) and authorized by the
Italian Ministry of Health, according to Legislative Decree 116/92, which
implemented the European Directive 86/609/EEC on laboratory animal protection in
Italy. Animal welfare was routinely checked by veterinarians of the Service for
Animal Welfare.Animal experiments carried out for in vivo detection of
GFP-tagged proteins (see above) were performed at the University of Lausanne and
University Hospital Center under the surveillance of the local governmental
veterinarian offices. These experiments were approved by the local governmental
veterinarian offices and are registered under number 1734.2.Validation of microarrays results by qRT-PCR.
Panel A: Gene expression relative to the strain SFY114
(containing the wild type CgPDR1 allele) obtained by
microarray analysis for each of the investigated GOF mutation in
CgPDR1. Color code for up- and downregulated genes is
given. Panel B: Gene expression relative to the strain SFY114
obtained by qRT-PCR. The values are averages of three separate experiments
and represent increase in gene expression relative to SFY114 (set at 1.00).
Primers used for CgPDR1, PUP1,
CgCDR1 and the normalization control
CgACT1 are described in the Material and Methods section. Other primers used for
qRT-PCR are listed below. The comparison between qRT-PCR results and
microarrays was estimated by linear regression between relative expression
changes. R2 values ranged from 0.4 and 0.89 between comparisons.
Two comparisons including values obtained for CAGL0A00473g and CAGL0A00451g
(PDR1) gave low correlation coefficients. This is
explained by the fact that microarrays values of regulated genes were
10–100 fold different than observed for qRT-PCR. However, these
discrepancies do not change the categorization of these genes being up- and
downregulated by a given GOF mutation and taking a 2-fold change as a
cut-off value. Forward and reverse primers are the following for
CAGL0K00715g: 5′-TGCATCATCGAAGTCGTTGG-3′ and
5′-CCCACGAGTAACAGCACCACT-3′; for
CAGL0E03894g: 5′-AAGCCGCAGACAAAGAGCAG-3′and
5′-CATCACCATTCTCGCCGTG-3′; for
CAGL0A00473g: 5′-CACTGGTGCGCTGAAAGGTG-3′ and
5′-TGTCCCAGGCTATCTTTGCC-3′; for
CAGL0F01111g: 5′-GTTTGGCTACTTGAGCACCGA-3′ and
5′-CGATCTCCCCTAGGCCATC-3′; for
CAGL0I09724g: 5′-GCCTGAGAGCTTGGACCACT-3′ and
5′-TTGTTGGACGTGGTCTTCGA-3′; for
CAGL0D02662g: 5′-CGCTGATGTTTCTGCGATGT-3′ and
5′-CACCGAATGCGATCATCAAA-3′.(TIF)Click here for additional data file.Southern blot analysis and diagram illustrating strategies for
disruption and replacement of
and
in
isolates. DNA was purified from isolated colonies, digested with
the restriction enzyme PvuII, analyzed by gel
electrophoresis and hybridized to specific probes. Panel A:
Analysis of CgCDR1 loci. The expected sizes for
CgCDR1 analysis are: 1.7 kb for DSY562 and DSY565 (wild
type CgCDR1 locus); 6.1 kb for SFY148 and SFY149
(cdr1Δ::SAT1-FLIP); 1.3 kb for
SFY152, SFY153, SFY169 and SFY170
(cdr1Δ::FRT); 1.7 kb for SFY161
and SFY162 (cdr1Δ::CgCDR1-SAT1).
Panel B: Analysis of PUP1 loci. The
expected sizes for PUP1 analysis are: 1.2 kb for DSY562 and
DSY565 (wild type PUP1 locus); 12.6 kb for SFY150 and
SFY151 (pup1Δ::SAT1-FLIP); 7.8 kb for
SFY154 and SFY155 (pup1Δ::FRT); 1.2 kb
for SFY159 and SFY160
(pup1Δ::PUP1-SAT1);
9.7 kb for SFY169 and SFY170
(pup1Δ::SAT1).(TIF)Click here for additional data file.Promoter consensus analysis of genes upregulated in SFY103 (GOF
mutation D1082G) and SFY116 (GOF mutation P822L). The data was
obtained using RSAT (http://rsat.ulb.ac.be/rsat/index.html) and the
oligo-analysis tool with default settings.(TIF)Click here for additional data file.Comparisons of transcript profiling experiments of azole resistance in
.
Panel A: Venn diagram was obtained by comparisons of published
studies [14], [16] with the present study and included all genes
regulated by ≥2-fold. Panel B: List of the 14 genes commonly
regulated as reported by published studies [14], [16] and by
the present study. Color codes and abbreviations are detailed in File
S1.(TIF)Click here for additional data file.List of genes regulated by the GOF mutations in
.(XLSX)Click here for additional data file.List of genes regulated by
in
.(XLSX)Click here for additional data file.List of genes regulated in a pair of isolate containing an
azole-susceptible (DSY717) and an azole-resistant isolate
(DSY2317).(XLS)Click here for additional data file.Putative regulatory sequences in genes regulated by GOF mutations in
.(PDF)Click here for additional data file.
Authors: Leah E Cowen; Dominique Sanglard; Susan J Howard; P David Rogers; David S Perlin Journal: Cold Spring Harb Perspect Med Date: 2014-11-10 Impact factor: 6.915
Authors: Christina Popp; Irene A I Hampe; Tobias Hertlein; Knut Ohlsen; P David Rogers; Joachim Morschhäuser Journal: Antimicrob Agents Chemother Date: 2017-06-27 Impact factor: 5.191
Authors: Barbara D Alexander; Melissa D Johnson; Christopher D Pfeiffer; Cristina Jiménez-Ortigosa; Jelena Catania; Rachel Booker; Mariana Castanheira; Shawn A Messer; David S Perlin; Michael A Pfaller Journal: Clin Infect Dis Date: 2013-03-13 Impact factor: 9.079