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Journal of Bacteriology, March 2000, p. 1515-1522, Vol. 182, No. 6
0021-9193/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
Evolution of Drug Resistance in Experimental
Populations of Candida albicans
Leah E.
Cowen,1,*
Dominique
Sanglard,2
David
Calabrese,2
Caroline
Sirjusingh,1
James B.
Anderson,1 and
Linda M.
Kohn1
Department of Botany, University of Toronto,
Mississauga, Ontario, Canada L5L 1C6,1 and
Institute of Microbiology, University Hospital, 1011 Lausanne,
Switzerland2
Received 16 September 1999/Accepted 21 December 1999
 |
ABSTRACT |
Adaptation to inhibitory concentrations of the antifungal agent
fluconazole was monitored in replicated experimental populations founded from a single, drug-sensitive cell of the yeast Candida albicans and reared over 330 generations. The concentration of fluconazole was maintained at twice the MIC in six populations; no
fluconazole was added to another six populations. All six replicate populations grown with fluconazole adapted to the presence of drug as
indicated by an increase in MIC; none of the six populations grown
without fluconazole showed any change in MIC. In all
populations evolved with drug, increased fluconazole resistance was
accompanied by increased resistance to ketoconazole and itraconazole;
these populations contained ergosterol in their cell membranes and were amphotericin sensitive. The increase in fluconazole MIC in the six
populations evolved with drug followed different trajectories, and
these populations achieved different levels of resistance, with
distinct overexpression patterns of four genes involved in azole
resistance: the ATP-binding cassette transporter genes, CDR1 and CDR2; the gene encoding the target
enzyme of the azoles in the ergosterol biosynthetic pathway,
ERG11; and the major facilitator gene, MDR1.
Selective sweeps in these populations were accompanied by additional
genomic changes with no known relationship to drug resistance: loss of
heterozygosity in two of the five marker genes assayed and alterations
in DNA fingerprints and electrophoretic karyotypes. These
results show that chance, in the form of mutations that confer an
adaptive advantage, is a determinant in the evolution of azole
drug resistance in experimental populations of C. albicans.
 |
INTRODUCTION |
The evolution of resistance to
toxicants by pathogens in agriculture and medicine (24) is
the result of natural selection acting on genetic variability, the
ultimate source of which is mutation. The rate at which new genetic
variability arises in a population, and the sequence in which mutations
that confer an adaptive advantage occur, may determine the rate and
extent to which a population adapts to the presence of a toxicant. The sequence in which beneficial mutations occur is a matter of chance. The
purpose of this study was to determine the role of chance in the
evolution of azole resistance in experimental populations of the
pathogenic yeast Candida albicans in which mutation was the
only source of new genetic variability.
C. albicans is both a ubiquitous commensal and an important
opportunistic human pathogen causing common ailments such as thrush and
vaginitis, as well as chronic conditions in immunocompromised patients
(10). Not surprisingly, repeated azole therapy for chronic
oral infections in AIDS patients has been associated with an increase
in azole resistance. Despite the identification of a mating-type-like
locus in C. albicans (6), there is no known mechanism of sexual recombination (5, 13). C. albicans is nevertheless well known for its ability to adapt. For
example, the emergence of azole resistance has been reported in several matched series of clonal isolates from patients undergoing azole treatment (reviewed by White et al. [26]).
We measured adaptation to inhibitory concentrations of the antifungal
agent fluconazole in replicated experimental populations founded from a
single, drug-sensitive cell of C. albicans and reared over
330 generations. The experimental evolution protocol that we used to
investigate the emergence of drug resistance in C. albicans
is similar in principle to that used in studies of general adaptation
in large populations of viruses (27), bacteria (1, 8,
25), and other fungi (4, 31). The experimental evolution approach offered three main advantages in identifying the
source and dynamics of adaptive change in C. albicans.
First, population size and origin and numbers of cell generations were controlled and known with certainty. This level of control allowed the
effect of genetic drift to be minimized by keeping population size
large throughout the experiment (>1 million individuals in each
population). Second, since a single cell was the progenitor of all
populations, no outside genotypes entered these populations, and there
was no genetic exchange between individual yeast cells within these
populations, mutation (used here in the broadest sense to include all
heritable genetic changes) was the only possible source of genetic
variability. Under these conditions, mutations that confer an adaptive
advantage in the presence of the drug have the opportunity to increase
in frequency in response to natural selection during the course of the
experiment. Third, environmental conditions were controlled. Throughout
the experiment, drug concentration was adjusted to inhibit
substantially the growth of the fungus but not enough to result in
failure to reach a high concentration of cells during stationary phase
at the end of each daily growth cycle. Our intent was to create an
environment in which the evolution of drug resistance was likely to occur.
In this study, our objective was to determine whether the course of
evolution was the same or different among the replicate populations
starting from identical initial genotype and conditions. We monitored
azole cross-resistance, expression of four genes known to confer
fluconazole resistance, and several markers with no known relationship
to drug resistance in the experimental populations.
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MATERIALS AND METHODS |
Strains and culture conditions.
Twelve populations of
C. albicans were founded from a single colony of a strain
isolated from an oral swab from a human immunodeficiency virus-positive
patient at The Toronto Hospital. The populations were serially
propagated for 330 generations (~100 days) in RPMI 1640 medium
(11). Every day, 1 ml from each overnight culture was
serially transferred into 9 ml of fresh medium and cells were grown at
35°C with constant agitation. Six populations (N1 to N6) were grown
without drug. Six populations (D7 to D12) were grown in twice their
most recently measured MIC of fluconazole (Roerig-Pfizer Inc., New
York, N.Y.). The drug concentrations in the experiment were never
reduced, although three of the populations (D7, D10, and D12) showed a
drop in MIC during the experiment. In MIC tests for populations D8 and
D10 from generation 260, significant growth continued above the MIC to
64 µg/ml; these two populations were then grown with fluconazole at
128 µg/ml. Isolates were stored in 1 ml of glycerol citrate (3%
trisodium salt, 40% glycerol) at
70°C.
Determination of MICs.
During the experiment, the MIC of
fluconazole was determined for each population at each sampling time in
at least four replicates by the broth microdilution method using the
National Committee for Clinical Laboratory Standards (M27-A) protocol
(11). In addition, MICs of fluconazole (Pfizer) and
ketoconazole and itraconazole (Janssen Pharmaceutica, Beerse, Belgium)
were determined, by the same protocol, for five single-colony samples
and one mass-culture sample from the progenitor (T118-0), N4 at
generation 330 (N4-330), D7 to D12 at 330, D7 at 260, D10 at 200, and
D12 at 260. The MIC of fluconazole was also determined in replicate at
pH 4 (9), otherwise according to the standard National
Committee for Clinical Laboratory Standards protocol, for one
mass-culture sample from the same populations for which MICs of the
three drugs were determined.
Isolation of total yeast RNA and RNA electrophoresis.
Yeast
cells were grown to the logarithmic growth phase in 5 ml of
yeast-peptone-glucose (1% yeast extract, 2% Bacto Peptone, and 2%
D-glucose) at 30°C with constant shaking. RNA was
prepared using glass beads (2) for the same samples for
which MICs of the three drugs were determined. Northern blots were
prepared according to a published protocol (19).
PCR amplification of C. albicans DNA probes.
Amplifications from genomic DNA of probes for the following genes were
done as described by Sanglard et al.: CDR1 and
MDR1 (also referred to as BENr)
(19), CDR2 (18), and ERG11
(also referred to as CYP51A1) (17).
DNA probe hybridizations and Northern blot quantification.
Northern blots were probed sequentially. Blots were also probed with
TEF3, which served as an internal control for loaded quantities of RNA (19). Membranes were analyzed with an
InstantImager (Packard Instrument Co., Meriden, Conn.) for quantitative
analysis of the signals.
Sequencing.
The entire open reading frame of the
ERG11 gene was sequenced from the progenitor, from N4-330,
and from D7 to D12 at generation 330, D7-260, D10-200, and D12-260. The
open reading frame was PCR amplified using primers and conditions
described by Sanglard et al. (17), and two additional
internal sequencing primers were designed,
5'-GAGCATAACCTGGAGAAACTAA-3' and
5'-TTGAGCAGCATCACGTCTCC-3'. Sequencing reactions were
prepared using the ABI PRISM Big Dye Terminator Cycle Sequencing
Ready Reaction kit (PE Applied Biosystems, Perkin-Elmer), according to
the manufacturer's instructions, with an initial 95°C denaturation
for 2 min for cycle sequencing on the GeneAmp PCR System 9600 (Perkin-Elmer). The reactions were analyzed on the ABI PRISM 310 Genetic Analyzer (PE Applied Biosystems, Perkin-Elmer).
Detection of loss of heterozygosity.
The 12 experimental
populations at generation 330 and the generation of the MIC peak for
the three drug populations that subsequently dropped in MIC were
assayed for loss of heterozygosity in five marker genes heterozygous in
the progenitor (Table 1). For each population, one mass-culture sample and one single-colony sample were
assayed. The marker genes were amplified as follows. PCR mixtures (20 µl) contained 0.5 µM (each) primer, 200 µM deoxynucleoside triphosphates, 1× PCR Buffer II with 2 mM MgCl2
(Perkin-Elmer, Norwalk, Conn.), 0.5 U of AmpliTaq DNA polymerase
(Perkin-Elmer), and 10 µl of a 100-fold dilution of genomic DNA
prepared according to the method of Scherer and Stevens
(22). Amplifications were carried out in a Perkin-Elmer
GeneAmp System 9600 Thermocycler programmed for an initial denaturation
at 95°C for 8 min followed by 35 cycles of denaturation at 95°C;
primer annealing at 50 to 58°C; and extension at 72°C for 20, 30, and 60 s, with a 5-min extension at 72°C on the final cycle.
Southern blots of PCR-amplified marker genes (loci) were prepared by
standard methods (16). Allele-specific oligonucleotide probes were designed for each locus based on DNA sequence data and were
end labeled with [
-32P]ATP (3,000 Ci/mmol; DuPont-NEN,
Markham, Ontario, Canada). The allele-specific probes (Table 1) were
hybridized for 2 h to the Southern blots within 5°C of the
midpoint melting temperature (Tm) of the probe according to the
protocol of Cowen et al. (3a) and Saville et al.
(20). Three washes of 20 s each were done at the same
temperature as the hybridization. The blots were then exposed to X-ray
film (BIOMAX MR Kodak film) at room temperature for 1 h.
Fingerprinting.
DNA fingerprinting with probe 27A was
performed by the protocol of Scherer and Stevens (23), for
the same samples that were assayed for loss of heterozygosity.
Electrophoretic karyotyping.
Chromosome-sized DNAs were
separated using CHEF-DR II pulsed-field electrophoresis systems
(Bio-Rad Laboratories). The preparation of CHEF (contour-clamped
homogeneous electric field) samples followed the procedure
described on the C. albicans Information Page
(http://alces.med.umn.edu/candida/methods.html). Chromosome
separation on pulsed-field gels followed condition 2 of the
protocol. Probes specific to the terminal SfiI fragments (3) of each chromosome were hybridized to Southern blots of electrophoretic karyotypes (Table 2).
HindIII (GIBCO BRL) and NotI (New England
BioLabs) digestion of agarose-embedded CHEF DNA samples was performed
by standard methods (New England BioLabs 1996-1997 catalog). CHEF
conditions for the HindIII-digested samples were as
described by Rustchenko et al. (14). CHEF conditions for the
NotI-digested samples were as described by Iwaguchi et al.
(7). The intergenic spacer of the nuclear ribosomal DNA (rDNA) repeat was PCR amplified with standard primers (28)
and hybridized to Southern blots of the restriction enzyme-digested samples.
Determination of doubling times.
Doubling times during the
exponential growth phase were measured for the progenitor, one
population grown without drug at generation 330, the six populations
evolved in the presence of drug at generation 330, and the generation
of the MIC peak for the three populations propagated with drug that
subsequently dropped in MIC. Doubling times were determined in
replicate in RPMI 1640 and yeast-peptone-glucose media at 35°C with
constant agitation. The concentration of cells was monitored with a
spectrophotometer (Beckman Du-64 spectrophotometer; Beckman
Instruments, Inc.).
 |
RESULTS |
We monitored adaptation to inhibitory concentrations of
fluconazole over 330 generations of experimental evolution in 12 replicate populations founded from a single azole-susceptible cell of
C. albicans (fluconazole MIC, 0.25 µg/ml). Six populations
were grown with fluconazole at twice their most recently measured MIC,
and six were propagated without drug. There was no change in MIC for any of the six populations grown without drug (Fig.
1). Among the six populations grown with
fluconazole (Fig. 1), two populations (D9 and D11) achieved the highest
level of fluconazole resistance (MIC, 64 µg/ml) measured in this
standard test and retained this level to generation 330. One population
(D8) achieved an intermediate level of resistance (MIC, 4.0 µg/ml)
and remained at this level until generation 330. Two populations (D10
and D12) achieved increased resistance (MIC, 16.0 and 64.0 µg/ml,
respectively) and then showed a decrease (MIC, 1.0 and 4.0 µg/ml, respectively). One population (D7) achieved a small increase
in resistance (MIC, 0.5 µg/ml), sharply increased resistance at
generation 260 (MIC, 8.0 µg/ml), and then a decrease at generation
330 to the previous level. In all cases, the level of resistance
achieved at generation 330 was stable over three transfers on
azole-free solid medium. Resistance, relative to the progenitor, was
retained over 50 generations of further experimental evolution in the
absence of drug (Fig. 2), with one
exception (D7-330-M). The increase in fluconazole MIC was accompanied
by a corresponding increase in resistance to itraconazole and
ketoconazole (data not shown). When MICs were determined at pH 4, the basic relationship of MICs among the populations was not altered,
but MICs of fluconazole were slightly higher at pH 4 than at pH 7, as
was observed in some cases by Marr et al. (9). All
populations contained ergosterol in their cell membranes and were
amphotericin sensitive (data not shown).

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FIG. 1.
Adaptation to fluconazole in experimental populations.
Twelve populations were established from a single cell of an
azole-susceptible strain of C. albicans. The
populations were propagated in RPMI 1640 medium for 330 generations.
Six populations (D7 to D12) were grown in twice their most recently
measured MIC of fluconazole, and six (N1 to N6) were grown without
drug.
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FIG. 2.
The stability of acquired resistance in 50 generations
(~15 days) in RPMI 1640 medium without fluconazole. Susceptibility to
fluconazole was determined at generations 0 (solid), 25 (hatched), and
50 (unfilled). M refers to mass cultures; S refers to a single-colony
isolate.
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Each population grown in the presence of drug acquired resistance in a
different way, overexpressing a unique combination of four genes known
to be important in fluconazole resistance (26): the gene
encoding the target enzyme of azoles in the ergosterol biosynthesis
pathway, ERG11; two ATP-binding cassette transporters, CDR1 and CDR2; and a major facilitator,
MDR1 (Fig. 3). While the CDR gene products pump many azoles from the cell, the
MDR1 product specifically pumps fluconazole. There was
highly significant variation in mRNA levels among the experimental
populations for CDR1 and ERG11 (Kruskal-Wallis
test, P < 0.001). CDR2 was strongly
expressed in one population (D8-330), was expressed at a low level in
another population (D10-200), and was not detected in the remaining
nine populations. Four populations (D9-330, D11-330, D12-260, and
D12-330) strongly expressed the MDR1 gene, while
MDR1 mRNA was not detected in seven populations. Other
factors contributing to azole resistance must be operating in the
populations overexpressing MDR1 to account for the
azole-cross-resistant phenotypes, as the efflux pump encoded by this
gene appears to specifically pump fluconazole (26). No
mutations were detected in the nucleotide sequence of ERG11 in the replicate populations. This was confirmed for all populations under selection by functional expression of the ERG11
alleles in Saccharomyces cerevisiae (17).

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FIG. 3.
Relative mRNA levels of four C. albicans
genes involved in azole resistance. Bars represent standard deviations
for each sample (n = 6 replicate measurements).
Variation among the population samples was highly significant
(Kruskal-Wallis test, P < 0.001).
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In addition to four genes known to be important in azole
resistance, we also monitored molecular markers with no known
relation to drug resistance: polymorphic nucleotide sites in five
DNA regions known to be heterozygous in the progenitor genotype and the
27A DNA fingerprint widely used to type clinical isolates of C. albicans (23). No changes in neutral markers or DNA
fingerprint were detected in any of the populations not exposed to
drug, while several changes including loss of heterozygosity in two of
the five genes known to be heterozygous in the progenitor were detected in several populations evolved in the presence of fluconazole. The
changes were as follows: C15F2, position 174, AG to AA in D7-260; and PDE1, position 1046, CT to TT in D7-330 and CT
to CC in D10-200 (single-colony isolate only). Changes in the DNA fingerprint were detected in two of nine samples from populations evolved in the presence of drug. The changes were the gain of a band in
D7-260 and the loss of a band in D12-260 (single-colony isolate only).
Southern hybridizations of electrophoretic karyotypes revealed numerous
chromosomal changes in the evolved populations relative to the
ancestral isolate (Fig. 4). The most
variable chromosome was chromosome R, which contains the genes
coding for rDNA. Both probes for chromosome R showed the same
hybridization results: the progenitor (T118-0) had one distinct
strongly hybridizing band and one weakly hybridizing band of unknown
origin, the six populations evolved without drug at generation 330 each
had a smear, and the drug populations each had one or two distinct
bands of variable size (Fig. 4).

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FIG. 4.
Electrophoretic karyotypes. (Top panels)
Ethidium-stained gels. The arrow indicates chromosome R in isolate
T118-0; the bracket indicates range of chromosome R sizes in other
isolates. (Middle panels) Southern hybridization with INO1
(GenBank accession no. L22737), a probe specific for chromosome R. The
asterisk indicates the strongly hybridizing band in T118-0; the open
arrow indicates the weakly hybridizing band of unknown origin in
T118-0. (Bottom panels) rDNA as visualized by Southern hybridization of
HindIII digests with the intergenic spacer region of the
rDNA.
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Further experiments examined the nature of the variation in
chromosome R. HindIII liberates the tandem rDNA array
from each chromosome R homologue as a single fragment (14).
Southern hybridization of HindIII digests with the
intergenic spacer region of the rDNA demonstrated variation in the size
of the rDNA arrays among the experimental populations (Fig. 4). The
variation in size of the rDNA array corresponded to the size variation
of chromosome R. NotI has a single cutting site within the
rDNA unit (7). Southern hybridization of NotI
digests with the intergenic spacer region of the rDNA showed that there
were no changes in the rDNA unit size among the experimental
populations (data not shown).
In the chromosomes other than chromosome R, there was no variation
detected for chromosomes 1, 2, 3, 6, and 7 with either of the probes
specific to the terminal SfiI fragments for each chromosome.
With the exception of chromosome R, the C. albicans chromosomes are numbered 1 through 7, largest to smallest
(3). For chromosome 4, there was no variation detected with
the probe for SfiI fragment BB, while hybridization with the
probe specific for SfiI fragment H showed a change for
populations D10-330 and D7-330. The probe hybridized to one distinct
band in all other populations, but there were two distinct bands for
D10-330, one the same size as that in the other populations and the
other, of equal intensity, at the same position as chromosome 5. D7-330 had one strongly hybridizing band of the expected size and also a
weakly hybridizing band at the same position as chromosome 2. For
chromosome 5, both probes hybridized to one distinct band with no size
variation for all population samples except D12-260, in which the band
was the same size as chromosome 2. In the sample from D12-260, there
was no band corresponding to that of chromosome 5 in the other samples
(Fig. 4).
Increased doubling time in the absence of drug was detected in samples
grown in both RPMI 1640 and yeast-peptone-glucose media from population
D7 at generation 260, D9 at 330, D11 at 330, D12 at 260, and D12 at 330 (Fig. 5). Variation among population
samples was highly significant (Kruskal-Wallis test, P < 0.001).

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FIG. 5.
Doubling times of populations during the exponential
growth phase. (A) Doubling times in RPMI 1640 medium. (B) Doubling
times in yeast-peptone-glucose medium. Bars represent standard
deviation for each sample (n = 2 replicate
measurements). Variation among the population samples was highly
significant (Kruskal-Wallis test, P < 0.001).
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 |
DISCUSSION |
This experimental evolution study was designed to examine the role
of chance in the evolution of azole resistance in C. albicans. Since the replicate populations were founded from a
single genotype, any variation among populations is due to mutation
occurring during the experiment. The populations were propagated in
controlled, uniform environments in which the drug concentration was
adjusted to provide the fungus with the best chance of developing
resistance. This experimental system allows natural selection to
operate; the populations are exposed to an environment, and any
heritable properties enhancing fitness in that environment can respond
to natural selection. All populations exposed to fluconazole adapted to
the presence of drug, showing increased azole cross-resistance. The
emergence of drug resistance in the initially identical populations followed strikingly different trajectories (Fig. 1) associated with
different patterns of expression of four genes implicated in azole
resistance (Fig. 3) and doubling times in the absence of drug (Fig. 5).
These results suggest that random processes determine the trajectory of
change in drug resistance in response to selection. These chance events
may include mutation and mitotic recombination in any of the several
genes affecting drug resistance. We interpret the changes as the result
of selective sweeps in which the frequency of the mutant type with an
adaptive advantage increases to a high level in a population.
In these clonal populations, additional collateral changes in the
genome have the opportunity to hitchhike along with the mutation under
selection. Genetic markers with no known relation to drug resistance
were assayed in the experimental populations, including loss of
heterozygosity in five marker genes heterozygous in the progenitor and
the 27A DNA fingerprint. No changes were detected in any of the
populations grown without drug, while several changes, including loss
of heterozygosity in two of the five genes known to be heterozygous in
the progenitor and changes in the DNA fingerprint, were detected in
four of nine samples from populations evolved in the presence of
fluconazole. With the exception of chromosome R, there were no
chromosomal changes detected in any of the populations that were not
exposed to drug. In contrast, in populations evolved in the presence of
the drug, there was one chromosomal change in three of nine population
samples, a different change in each sample. This shows that the
response to the drug in C. albicans is accompanied by an
increased frequency of genomic changes. Genomic changes including gene
conversion, mitotic crossing over, and chromosome rearrangements have
been implicated as a source of genetic variation in this asexual yeast (15, 21).
The genomic changes in the populations evolved in the presence of drug
showed no consistent association with drug resistance, in contrast to
the findings of Perepnikhatka et al. (12). In chromosome R,
the high degree of variability of sizes among the populations exposed
to the drug was not directional; some populations evolved rDNA arrays
of increased size while others decreased in size. Furthermore, the
populations grown without drug also exhibited a high degree of
variability in the size of the rDNA arrays within each population, with
no change in drug resistance throughout the experiment.
In population D7, the appearance of neutral changes indicates two
selective sweeps (the increase in frequency of a genotype containing a
mutation conferring a selective advantage), one, approaching generation
260, that was accompanied by the loss of heterozygosity in region
C15F2 and the gain of a fragment in the DNA fingerprint, and
the other, approaching generation 330, that was accompanied by the loss
of heterozygosity in PDE1. The first sweep could not have
been to complete fixation, because the neutral changes at generation
260 were reversed to the ancestral states at generation 330. This
cannot be due to reversion because, once heterozygosity at a specific
nucleotide site is lost, it is very unlikely to be regained by point
mutation. Interclonal competition must have occurred in population D7
(1).
Loss of size variants of chromosome R provides further evidence for
selective sweeps in populations evolved in the presence of drug (D7 to
D12) but not in populations evolved in the absence of drug (N1 to N6).
D7 to D12 each had one or two sharp bands of chromosome-sized DNA
containing the rDNA repeat (chromosome R), which varied in size among
them (Fig. 4). In contrast, N1 to N6 each had a smear, rather than the
distinct chromosome R band. The only possible explanation is that there
is a mixture of chromosome R sizes in each of the lines N1 to N6
(single-colony isolates from these populations each had one or two
sharp chromosome R bands of variable size [data not shown]). This
variation was eliminated in populations D7 to D12 due to selective
sweeps, resulting in one or two sharp bands. The progenitor, which was
isolated from a single cell, had one sharp band plus a second weakly
hybridizing band of unknown origin for chromosome R. The reduction in
size variation in chromosome R in D7 to D12 cannot be explained by genetic drift since population size was large (minimum number of
individuals was 106).
In the presence of an antimicrobial agent, a resistant genotype is at
an advantage compared to less resistant genotypes. But in the absence
of drug, the resistant genotype may be at a disadvantage. A significant
cost of resistance, evident as an increase in doubling time in the
absence of drug, was detected in samples from population D7 at
generation 260, D9 at 330, D11 at 330, D12 at 260, and D12 at 330 (Fig.
5). In two (D7 and D12) of the three populations (D7, D10, and D12)
showing a decrease in MIC during the course of the 330 generations,
this cost was mitigated as doubling time decreased. The decreases in
MIC should therefore not be interpreted as a reduction in overall
fitness in the presence of the drug. The three populations
demonstrating a decrease in MIC during the experiment continued to grow
at the higher drug concentration established at their MIC peak. Fitness
in experimental populations under the selection imposed by the drug may
involve a complex interplay between various resistance mechanisms and
cell growth parameters.
Interpreting our results in the context of Sewall Wright's adaptive
landscape (29, 30), fitness can be represented as altitude
on a landscape with topography. Alleles at different loci interact to
determine the fitness of a population, and multiple adaptive peaks are
separated by maladaptive valleys. In this experiment, the only source
of genetic variation was mutation defined in the broadest sense to
include changes in nucleotide sequence, gene conversion, mitotic
crossing over, and chromosome rearrangements. There was no immigration
into populations and no genetic exchange between individuals. Genetic
drift was minimal as the populations were all large. Under these
conditions, all populations responded to selection by gaining altitude
on the adaptive landscape, but they climbed different slopes associated
with different molecular mechanisms of drug resistance. We do not yet
know if the different resistance mechanisms would give enhanced drug
resistance and fitness when combined together in the same
genotype
whether or not populations will converge on one global
adaptive peak or diverge to series of isolated peaks with further
experimental evolution. How do these results pertain to natural
populations? In the host, evolution of C. albicans is
complicated by the status of the immune system, the physical niche in
the body, drug treatment history, immigration, genetic drift, and
competition with other microbes. In addition to these factors, our
results show that chance is an important factor in the evolution of
drug resistance.
 |
ACKNOWLEDGMENTS |
This work was supported by a grant-in-aid from Pfizer Canada Inc.
and Research Grants from the Natural Sciences and Engineering Research
Council (NSERC) of Canada to L.M.K. and J.B.A. and by grant no.
3100-045716 from the Swiss Research National Foundation to D.S.
L.E.C. was supported by an NSERC Postgraduate Scholarship.
We thank Claire Wickens for technical assistance.
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FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Botany, University of Toronto at Mississauga, 3359 Mississauga Rd.
North, Mississauga, Ontario, Canada L5L 1C6. Phone: (905) 828-5338. Fax: (905) 828-3792. E-mail:
lcowen{at}credit.erin.utoronto.ca.
 |
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Journal of Bacteriology, March 2000, p. 1515-1522, Vol. 182, No. 6
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