, 2009) Microsaccade generation could be affected by working mem

, 2009). Microsaccade generation could be affected by working memory performance in the present experiment as follows.

In the mental arithmetic tasks, the participants’ attention is divided between the fixation task and the counting task, increasing the load on working memory. The more difficult the task (i.e. the higher the working memory load), the less well participants will be able to execute the fixation task: thus, they will produce less frequent microsaccades, with poorly controlled (i.e. larger) magnitudes. Fluctuations of SC activity at the rostral poles are thought to give rise to microsaccades during fixation (Rolfs et al., 2008; Hafed et al., 2009; Otero-Millan et al., 2011). Further, the FK506 in vivo shape of the activity on the two-dimensional SC surface, which represents visual saccadic

target space, will influence the distribution of microsaccade magnitudes, so that broad activity will correspond to a broad distribution of microsaccade magnitudes (i.e. larger magnitudes) and high activity Endocrinology antagonist will correspond to a high rate of microsaccades (Rolfs et al., 2008). The shape of the rostral SC activity depends on excitatory inputs from frontal (i.e. frontal eye fields) and parietal cortical areas, and on inhibitory inputs from the basal ganglia. Based on the known relationship of these brain areas with attention (Hikosaka & Sakamoto, 1986; Schall, 2004), varying levels of attention should affect rostral SC activity during fixation, and thus microsaccadic rates and magnitudes (Rolfs et al., 2008). Increased attention to the mental arithmetic task due to increased task difficulty (Chen et al., 2008) will reduce attention to the fixation task. Thus, increased task difficulty will decrease SC activity in the region corresponding to the fixation location and enhance activity in surrounding areas,

thereby broadening the activity profile (Ignashchenkova et al., 2004). Conversely, decreased attention to the mental arithmetic task due to decreased task difficulty (Chen et al., 2008) will increase attention to the fixation task. Thus, decreased task difficulty will enhance SC activity in the region corresponding to the fixation location and suppress activity in surrounding areas, thus sharpening the activity many profile (Fig. 5). This proposal is consistent with the previous finding that smaller fixation targets result in higher microsaccade rates and narrower microsaccade magnitude distributions (McCamy et al., 2013). A reduction in fixation target size will increase the difficulty of, and enhance attention to, the fixation task. Thus, decreased target size will enhance SC activity at the fixation location and suppress activity in surrounding areas, which will sharpen the activity profile. Task difficulty did not affect the microsaccadic peak velocity–magnitude relationship, in agreement with Di Stasi et al. (2013a).

711 Fetal ultrasound imaging should be performed as per nationa

7.1.1 Fetal ultrasound imaging should be performed as per national guidelines regardless of maternal HIV status. Grading: 1D The National Screening INCB024360 datasheet Committee [232] and the NICE antenatal guidelines [233] recommend that ultrasound screening for fetal anomaly should be offered to all

pregnant women between 18 + 0 and 20 + 6 weeks’ gestation. There is no evidence to alter this for women infected with HIV. In the past, because of a theoretical increased risk of anomaly due to first trimester ART exposure, more detailed ultrasound scanning (i.e. in a fetal medicine unit) has been considered. The evidence from prospective reports of first trimester ART exposure to the APR [53] does not support the need for increased surveillance with the most commonly prescribed

therapies (listed in Appendix 4), although with newer medication the knowledge base is inevitably limited. APR reports on the frequency and nature of birth defects and ART are updated every 6 months (http://www.apregistry.com/). 7.1.2 The RO4929097 ic50 combined screening test for trisomy 21 is recommended as this has the best sensitivity and specificity and will minimize the number of women who may need invasive testing. Grading: 1A Clinical Guidance 62 (CG62) [233] also recommends that all women should be offered screening for trisomy 21. The most effective screening is with the combined test at 11 + 0 to 13 + 6 weeks’ gestation. This Tideglusib includes maternal age, nuchal translucency, βHCG and pregnancy-associated plasma protein A (PAPP-A). In the general population this has a detection rate of 92.6% with a false positive rate of 5.2% [234]. For women who present too late for the combined test, the most clinically and cost-effective serum

screening test (triple or quadruple test) should be offered between 15 weeks 0 days and 20 weeks 0 days [233]. However, significantly increased levels of βHCG, αFP and lower levels of UE3 (the elements of the ‘triple test’) have been observed in the HIV-positive population [235-237] while a reduction in βHCG in patients treated with PI-based [238] or with NNRTI-based cART has been reported. Since Down’s syndrome is associated with increased βHCG, HIV infection per se may increase the false-positive rate in women and thus increase the number of invasive tests offered compared with the uninfected population [239]. PAPP-A and nuchal translucency are unaltered by HIV infection or antiretroviral therapy [240] and thus are the preferred screening modality. 7.1.3 Invasive prenatal diagnostic testing should not be performed until after the HIV status of the mother is known and should be ideally deferred until HIV viral load has been adequately suppressed. Grading: 1C Limited data suggest amniocentesis is safe in women on cART. There are minimal data on other forms of prenatal invasive testing.

, 2005) Amplified gene products were cleaned using the Wizard® S

, 2005). Amplified gene products were cleaned using the Wizard® SV Gel and PCR Clean-Up System (Promega). Nucleotide sequence analysis of the purified PCR products was performed at the Australian Genome Research Facility using an AB3730xl DNA analyzer (Applied Biosystems, CA). For four isolates representing each Mycobacterium phylotype, the β-ketosynthase

(KS) domain of type I PKS was retrieved via PCR with the degenerate primer set degKS2F.i (GCIATGGAYCCICARCARMGIVT) http://www.selleckchem.com/products/GDC-0980-RG7422.html and degKS5R.i (GTICCIGTICCRTGISCYTCIAC) under the conditions described by Schirmer et al. (2005). The amplified products were visually assessed by gel electrophoresis, and amplicons of the correct size (700 bp) were cleaned and cloned into pGEM-T Easy Vector (Promega) following the manufacturer’s instructions. Nucleotide sequencing was performed with the primers T7 (TAATACGACTCACTATAGGG) and SP6 (ATTTAGGTGACACTATAG) after purification of the plasmid using the Wizard®Plus SV Minipreps DNA Purification System (Promega). Nucleotide sequences were deposited in the GenBank database under accession numbers

HM210415–HM210460. The sequences of the 16S rRNA gene from isolates were aligned against the reference sequences retrieved from The Ribosomal Database Project (Cole et al., 2009), using the greengenes program (DeSantis et al., 2006), followed by Lane masking to remove any hypervariable region from the alignment (Lane, 1991). The dataset was exported into the phylip program (Felsenstein, 1989) for sequence similarity analysis. For the phylogenetic Buparlisib analysis based on the concatenation of the three genes, reference sequences were obtained from the NCBI database associated with the study of Mignard & Flandrois (2008). Sequence alignment for each gene was performed using clustal

x (Larkin et al., 2007). Aligned sequences for the three genes were concatenated and aligned again as single sequences. Phylogenetic trees were generated using the mega4.1 program (Tamura et al., 2007) for the neighbor-joining and maximum parsimony methods and the MRIP treefinder program (Jobb et al., 2004) for the maximum likelihood method with the HKY model of substitution. Bootstrapping was performed using 1000 replicates. For the KS gene, translated protein sequences were derived from nucleotide sequences using the orf finder available at the NCBI website (http://www.ncbi.nlm.nih.gov/projects/gorf/). Phylogenetic trees were reconstructed from a clustal x alignment of translated KS protein sequences including the reference sequences obtained from the NCBI-available genome annotations using the mega4.1 and treefinder programs with the JTT model of substitution for the maximum likelihood calculation. The Salinispora isolate AQ1M05 was heavily inoculated on one quarter segment of an SYP agar plate and grown for 3 weeks at 28 °C.

005 Although the threshold did not reach our criteria, these res

005. Although the threshold did not reach our criteria, these results are compatible with the ROI analysis. As the order of the sessions was fixed, the observed results in the comparison between the random and within-/between-group omissions might include the influence

of adaptation or fatigue in general. In order to evaluate such influences, we created 3-Methyladenine order the reconstruction maps for the brain activity elicited by the L tones and conducted two-sample t-tests between the random sequence and group sequence. If such mental health conditions affected the omission-related response, it should also be shown in the brain activity elicited by the L tone. However, this analysis did Selumetinib cost not show any significant result in both subject groups, indicating that the obtained results for the omission-related response were not due to adaptation or fatigue. The

ability to integrate sound features is necessary to perceive a sequence of tones as a perceptual group, which might be a basis for auditory perception (Winkler et al., 2009; Bendixen et al., 2012). Many studies have indicated that pre-attentive processing of perceptual grouping works well when the ISI between tone stimuli is less than 200 ms (Yabe et al., 1997; Sussman et al., 1999; Deike et al., 2004; Micheyl et al., 2007). In the present study, we investigated the attentive processing of perceptual grouping using auditory stimuli with an ISI longer than 200 ms and the effect of musical experience. The results indicate that the regular pattern of the tone sequence had impacts on both the behavioral performance and neural response elicited by the omission. In addition, we found that musicians showed the right IPL for the processing of sound omission, whereas non-musicians showed the left STG. The results and possible interpretations are discussed in the following sections. Several psychological studies have shown that the perceptual grouping of stimuli affects behavioral performance. For example, detection Tenofovir solubility dmso or recognition is faster and more accurate for target stimuli that are inconsistent with the grouping

structure of stimuli, compared with consistent target stimuli (Idson & Massaro, 1976; Jones et al., 1982; Mondor & Terrio, 1998). This evidence is consistent with the results of the present study, which showed that detection of omission in the random sequence was faster than that in the group sequence. In addition, the subjects in the present study reported recognising the group sequence as a repetition of the ‘LLS’ pattern. Therefore, we believe that the perceptual grouping successfully occurred in the group sequence in the present study. The predictive coding theory suggests that the auditory system continuously searches for regularities to organise a perceptual unit within a tone sequence (Winkler et al., 2009; Bendixen et al., 2012).

The opacity factor activity of rSOF-OFD was confirmed by the seru

The opacity factor activity of rSOF-OFD was confirmed by the serum agar overlay method. The purified rSOF-OFD was loaded by native-PAGE or SDS–PAGE, and the gel was overlaid to 0.5% agarose containing the fish serum at a final concentration of KU-60019 molecular weight 50%. After incubating

at 37 °C for 72 h, the opacification activity was determined as opaque bands. Sixteen fish isolates having different genotypes, which were defined by biased sinusoidal field gel electrophoresis analysis, were selected as test strains (Nishiki et al., 2010). These fish isolates and mammalian isolates (n = 19), including S. dysgalactiae ssp. dysgalactiae and S. dysgalactiae ssp. equisimilis, were used for the PCR assay. The primers SOF-fish1 and SOF-fish2 were designed to discriminate fish isolates from mammalian isolates. The amplification conditions were 95 °C for 3 min, 30 cycles of 95 °C for 30 s, 55 °C for 30 s and 72 °C for 30 s, and finally 72 °C for 10 min. The PCR products were confirmed by electrophoresis on a 1% agarose gel containing ethidium bromide. Table 2 shows the results of tests for opacification activity. Almost all of the fish isolates showed serum opacification activity in both culture supernatants and SDS extracts. Courtney et al. (1999) reported that serum opacification activity

of S. dysgalactiae S2 obtained from mastitis was sufficient in SDS extracts but insufficient in culture supernatants. In the present study, culture supernatants obtained from 314 of 316 fish isolates possessed Palbociclib nmr opacification activity with various OD values (0.1–0.6). Two strains were considered to be SOF-negative. Although the fish isolates used in this study were obtained from diseased fish in different fish farms and years, almost all of the fish isolates possessed SOF activity against fish serum. For a comparison of

opacification activity, opacified circles on agar plates containing each serum are shown in Fig. 1. Culture supernatant of fish isolate 12-06 showed strong activity with amberjack serum compared with other mammalian sera. The opaque circle on fish serum agar plate was wider than on other serum agar plates. The gene coding sof-FD was determined by 5′ and 3′ RACE PCR. Sequences of the sof-FD gene and its putative amino acids were registered in GenBank with Reverse transcriptase accession number AB627015. Figure 2 shows the amino acid sequences of FnBA (CAA80121) from S. dysgalactiae strain S2, SOF (EFY3765) from S. dysgalactiae strain ATCC 27957, SOFVT3.1 (AAK52966) from an S. pyogenes strain and OFS obtained from an S. suis strain. The level of identity between SOF sequences was 45.9% between sof-FD and FnBA (CAA80121), 46.5% between sof-FD and SOF ATCC 27957 (EFY3765), 40.1% between sof-FD and SOFVT3.1 (AAK52966), and 25.0% between sof-FD and OFS (AAX56334). The signal sequences (1–32 residues), fibronectin binding repeats (767–930), and LPXTG Gram-positive anchor motif (951–955) were also conserved in SOF from fish GCSD.

2b) The changes are especially prominent between February and Ma

2b). The changes are especially prominent between February and March for both microcosms. Considering their incubation in the laboratory without disturbance, these results suggest that the MTB population is very sensitive to the imperceptible changes in microenvironments. Our results are consistent with the previous report that the MTB community was found to be dynamic during long-term incubation in one microcosm (Flies et al., 2005b). Together, MTB communities are microenviroment-sensitive and thus potential proxies for changes of ecology and climate. However, because of only three individual samples from each microcosm, we lack the statistical Rapamycin cost power to determine correlations

between measured physical–chemical factors and the dynamics of MTB communities over time. Therefore, at this stage, we cannot determine the specific factors that influence the observed temporal variation in MTB communities. As evident in Fig. 4, the unifrac analysis clearly shows that the six MTB communities cluster by the microcosm rather than by the collection

time, indicating that the phylogenetic discrepancy of MTB communities collected from distinct microcosms exceeds the temporal variation in each microcosm. Because the microcosms were collected from two separate sites in Lake Miyun (Fig. 1), the above results suggest a potential adaption of different MTB lineages to their respective microenvironments. This is also supported by the distributions of MTB OTUs in clone libraries, as shown in Fig. 2, that no identical OTU is observed between ZD1839 purchase the two microcosms and ‘M. bavaricum’-like MTB exclusively exist in microcosm MY8. A significant correlation between the phylogenetic distance of MTB

communities from the six clone libraries and nitrate concentrations of corresponding pore water is noted here (Table 2). Petermann & Bleil (1993) reported that nitrate or other nitrous oxides could be reduced by most MTB in deep marine environments and might contribute to their vertical distribution, which was supported by observations that the majority of cultivated MTB could utilize nitrous compounds as terminal electron acceptors for respiration (Flies et al., 2005a). A similar situation before is expected for uncultivated ‘M. bavaricum’-like MTB as well, because the phylogenetic nonmagnetic relatives of these MTB in Nitrospira phylum are nitrite-oxidizing bacteria that can oxidize nitrite to nitrate in environments (Daims et al., 2001). Together, these results suggest that nitrate may play an important role in the occurrence and distribution of MTB lineages in distinct microenvironments. Because the measurements of oxygen and iron are rudimentary in this study, we are not able to run statistical analyses for these factors; therefore, their contributions are unknown.

60 for 28 days 597120 for 48-week course CrCl > 50 mL/min: Initi

60 for 28 days 5971.20 for 48-week course CrCl > 50 mL/min: Initiate at normal dose CrCl 30–50 mL/min: reduce by 25% CrCl 15–29 mL/min: reduce by 50% CrCl < 15 mL/min: avoid Avoid in combination with ribavirin when CrCl < 50 mL/min None in mild and moderate impairment Avoid in decompensated cirrhosis

638.04 PD-0332991 manufacturer for 28 days 7656.48 for 48-week course (person of average weight 79 kg) Chronic hepatitis C infection in adults without liver decompensation, in combination with peginterferon alpha 2a or 2b. In triple therapy with boceprevir or telaprevir in genotype 1 infection, with compensated liver disease* No dose reduction required in patients with compensated cirrhosis Use with caution with careful monitoring in patients with decompensated liver disease 267.81 to £321.38 for 28 days (Rebetol) 308.31 to £369.98 for 28 days (Copegus) Copegus Genotype 1: <75 kg: 1000 mg; ≥ 75 kg: 1200 mg [off-label] Copegus Genotype 2–4: 800 mg daily Rebetol Genotype 1–4: <65 kg: 800 mg; 65–80 kg: 1000 mg; 81–105 kg: 1200 mg; > 105 kg: 1400 mg 1866.50 for 7 days 22,398 For a 12-week course IL28B genotype has been associated with response to pegylated interferon and ribavirin in monoinfected and coinfected

populations with a similar effect on outcome in both in a recent meta-analysis [82]. The Sprint 2 study demonstrated response rates to PEG-IFN and RBV with boceprevir were 80%, 71% and 59% with CC, CT and TT genotype respectively [83]. Similar data have been reported with telaprevir [84]. In the context of DAA-based therapy the role HTS assay of IL28B testing is unclear. If the very high rate of durable virological success reported with newer PIs and interferon-sparing approaches in monoinfected patients is translated into similar results in the coinfected, the use of IL28B testing will become redundant in the clinical setting. Although some physicians

and patients may find IL28B testing of use in making a decision MycoClean Mycoplasma Removal Kit to initiate or defer therapy, IL28B testing is not routinely recommended. In a potentially rapidly changing landscape of treatment it is essential that all individuals with chronic HCV undergo adequate liver disease staging prior to a decision being made on whether anti-HCV therapy should be deferred or initiated. If deferred, restaging should occur at least annually (Section 4). An accurate assessment of alcohol and injecting drug use should be sought. Alcohol use should be minimised as this not only accelerates disease progression but also may reduce treatment efficacy through non-compliance; ongoing injecting drug use has previously been considered a relative contraindication for anti-HCV therapy, but there is now a growing body of experience of treatment in this group. Those continuing to inject should be warned about the potential for re-infection and receive education to prevent this.

Nevertheless, these data are in line with recent studies demonstr

Nevertheless, these data are in line with recent studies demonstrating a link between impaired extinction learning and altered immediate-early gene expression patterns in the BA, mITC and CEA in select mouse and rat strains with inborn behavioral deficits (Hefner et al., 2008; Muigg ZD1839 solubility dmso et al., 2009) and with

the recovery of conditioned fear responses in extinguished animals after attenuation of glutamatergic input to mITCs or targeted immunotoxic lesions of mITCs (Jüngling et al., 2008; Likhtik et al., 2008). In summary, our results support a growing view that the emotional learning and memory system is not limited to the BLA but is distributed across BLA, ITC and CEA circuitry of the amygdala (Paréet al., 2004; Wilensky et al., 2006). Moreover, our study demonstrates that lack of PN-1 results in area-specific changes in signaling activity markers underlying fear extinction. Serine proteases and their inhibitors may thus represent new targets for intervention in various conditions associated with anxiety and stress. This work was supported by grants from the Swiss National Science Foundation, the Austrian Science Fund, the Volkswagen Stiftung and by the Novartis Research Foundation. We thank Sabrina Djaffer for expert animal breeding and care, Erik Cabuy for advice about laser dissection,

Sandrine Bichet for help with immunohistochemistry, Laurent Gelman for patient help with microscopy, and Cédric Fischer for help at the start of this work. We also thank Andrew Matus and Thomas Oertner for critical reading of the manuscript. Abbreviations BA basal nucleus of the amygdala BLA basolateral amygdaloid http://www.selleckchem.com/products/17-AAG(Geldanamycin).html complex CEA central nucleus of the amygdala CEl latero-capsular subdivision of the central amygdala CEm medial subdivision of the central amygdala CS conditioned

stimulus ext. extinction GABAergic γ-aminobutyric acid containing inhibitory neurons GAD67 glutamic acid dehydrogenase 67-kD isoform GFAP glial fibrillary acidic protein ITCs intercalated this website cell masses LA lateral nucleus of the amygdala lITC lateral intercalated cell mass mITC medial intercalated cell mass NMDAR N-methyl-d-aspartate receptor no ext. no extinction PAR-1 protease-activated receptor-1 PN-1 KO mouse line lacking in protease nexin-1 PN-1 protease nexin-1 pαCamKII phosphorylated alpha-calcium/calmodulin protein kinase II US unconditioned stimulus WT wild-type littermates of PN-1 KO mice αCamKII alpha-calcium/calmodulin protein kinase II Fig. S1. Behavioral data for mice used for biochemical experiments. Fig. S2. αCamKII/actin does not show genotype dependence. Fig. S3. pαCamKII levels show no behavior dependence in LA and BA. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer-reviewed and may be re-organized for online delivery, but are not copy-edited or typeset by Wiley-Blackwell.

coli to infect and colonize the mammalian host

coli to infect and colonize the mammalian host. Epacadostat clinical trial We are gratefully indebted to Juan Anguita, Associate Professor at Amherst Veterinary and Animal Sciences, for suggested improvements to the manuscript. N.N. was a recipient of fellowships from the University of Leon. This work was supported by grants from the Direccion General de Investigación (AGL2007-62428) and Junta de Castilla y León (JCyL 32A08). “
“The type IV secretion system (T4SS) contributes to Brucella intracellular survival through its effector proteins. Comparative proteomic analysis showed that intracellular survival proteins are expressed

differentially in a virB mutant. Interestingly, several outer membrane proteins (OMPs) are also differentially expressed, implying that T4SS might 20s Proteasome activity affect the OM properties of Brucella. To further evaluate the impact of T4SS on OM, in the present study, the OM proteomes were isolated and compared. Many more products of OMPs, particularly different products of the Omp25/Omp31 family, were found to be altered in the virB mutant. The transcription profiles of Omp25/Omp31 were different from those of their protein products, implying their regulation by virB at both transcriptional and post-transcriptional levels. The virB mutant aggregates at a high cell density and produces exopolysaccharide,

a phenotype resembling that of the vjbR mutant. The virB mutant showed increased sensitivity to polymyxin B and decreased survival under oxidative, high-salt and high-osmolarity stresses, indicating drastic membrane alterations. These results indicated that in addition to being an effector protein secretion system, T4SS affects OM properties that might be important for the adaptation of Brucella to both Thymidine kinase in vitro and in vivo hostile environments. Brucellosis, also called Malta fever, is a zoonotic disease caused by members of the genus Brucella. Brucella

are remarkably well adapted to the intracellular lifestyle, being able to survive and replicate inside host cells by creating a membrane-bound compartment (Pizarro-Cerda et al., 1998; Ficht, 2003). This is one of the bases for the still poorly understood chronicity of Brucellosis. In an attempt to unravel Brucella virulence factors by transposon mutagenesis, a type IV secretion system (T4SS) encoded by the virB operon was identified (O’Callaghan et al., 1999). The Brucella virB mutants lost the ability to affect the endosomal pathway to dock with the endoplasmic reticulum (ER) and were unable to survive within macrophages and mice (Sieira et al., 2000; Watarai et al., 2002). As a secretion system, T4SS may contribute to Brucella intracellular survival through its effector proteins. A recent report showed that two proteins, VceC and VceA, were translocated into host cells by T4SS.

Advances in genomic tools such as tiling arrays, comparative

Advances in genomic tools such as tiling arrays, comparative www.selleckchem.com/products/ABT-888.html genome hybridization microarrays (array CGH), and ultra-high-throughput sequencing

are now allowing researchers to have a better understanding of the genotypic changes associated with adaptation [for review see (Dettman et al., 2012)], such as drug resistance (Selmecki et al., 2010). The applications of these tools to time-course isolates obtained in vitro and in vivo will yield the necessary correlations between genotypic and phenotypic changes in resistant strains and help researchers to gain a firmer grasp on the evolutionary trajectories of fungal pathogens during exposure this website to antifungal agents. In addition to the aforementioned factors (e.g. population size, relative fitness coefficients, rate of beneficial mutations, etc.)

that contribute to the population dynamics during adaptive evolution, additional factors such as dosing regimens and the mode of action of the antifungal agent may also contribute to the population dynamics during the emergence of drug resistance in C. albicans. A series of in vivo studies in murine model shed some light on the importance of some of these factors on antifungal drug resistance in C. albicans (Andes et al., 2006). Andes et al. (2006) investigated the impact of different fluconazole (a fungistatic agent) dosing regimens, using different dose levels and dosing intervals, on the outgrowth of resistant strain with different initial ratios of drug-resistant and susceptible strains in a murine model; they found a lower but more frequent dosage of fluconazole led to less frequent outgrowth of the resistant strain compared with higher but more infrequent dosage. Another study by the same

group revealed a similar effect of dosing regimen on drug resistance emergence when they evolved an initially drug-susceptible strain of C. albicans in a murine model (Andes et al., 2006). Results from these studies suggest different selection strategies may have different impacts on the expansion of drug-resistant genotypes Low-density-lipoprotein receptor kinase within the population, leading to different population dynamics and ultimately to different evolutionary outcomes. In addition, they found that if the initial population contained at least 10% of the drug-resistant clone, the evolving population behaved phenotypically as entirely drug resistant, suggesting that the population structure prior to drug exposure is an important factor in determining the evolutionary outcome of the population (Andes et al., 2006). The mode of action of the antifungal agent may also be a contributing factor on the emergence of drug resistance.