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. 2016 Sep 19;11(9):e0163049. doi: 10.1371/journal.pone.0163049

Chemical Inhibitors of Non-Homologous End Joining Increase Targeted Construct Integration in Cryptococcus neoformans

Samantha D M Arras 1, James A Fraser 1,*
Editor: Arthur J Lustig2
PMCID: PMC5028063  PMID: 27643854

Abstract

The development of a biolistic transformation protocol for Cryptococcus neoformans over 25 years ago ushered in a new era of molecular characterization of virulence in this previously intractable fungal pathogen. However, due to the low rate of homologous recombination in this species, the process of creating targeted gene deletions using biolistic transformation remains inefficient. To overcome the corresponding difficulty achieving molecular genetic modifications, members of the Cryptococcus community have investigated the use of specific genetic backgrounds or construct design strategies aimed at reducing ectopic construct integration via non-homologous end joining (NHEJ). One such approach involves deletion of components of the NHEJ-associated Ku heterodimer. While this strategy increases homologous recombination to nearly 100%, it also restricts strain generation to a ku80Δ genetic background and requires subsequent complex mating procedures to reestablish wild-type DNA repair. In this study, we have investigated the ability of known inhibitors of mammalian NHEJ to transiently phenocopy the C. neoformans Ku deletion strains. Testing of eight candidate inhibitors revealed a range of efficacies in C. neoformans, with the most promising compound (W7) routinely increasing the rate of gene deletion to over 50%. We have successfully employed multiple inhibitors to reproducibly enhance the deletion rate at multiple loci, demonstrating a new, easily applied methodology to expedite acquisition of precise genetic alterations in C. neoformans. Based on this success, we anticipate that the use of these inhibitors will not only become widespread in the Cryptococcus community, but may also find use in other fungal species as well.

Introduction

The discovery of the process of transformation was key to the development of the field of molecular genetics. The first evidence that genetic information could be introduced into a cell came in 1928 when Frederick Griffith discovered that a “transforming factor” could make a harmless strain of Streptococcus pneumoniae virulent after being exposed to a heat-killed virulent strain, giving rise to the term transformation [1]. It was not until 1944 that Avery and colleagues used transformation to prove that this factor was DNA [2]. The era of eukaryotic molecular genetics began over thirty years later when Hinnen and colleagues employed transformation in brewer’s yeast to integrate a plasmid into the Saccharomyces cerevisiae genome [3]. Beggs subsequently demonstrated that S. cerevisiae could maintain a plasmid carrying the 2μ origin of replication without the need for integration [4]. These discoveries established S. cerevisiae as the premier eukaryotic model for molecular genetics. Transformation protocols were subsequently developed for Neurospora crassa [5] and Aspergillus nidulans [6], and over the following decades, the development of transformation protocols made many previously intractable species easier to study.

Cryptococcus neoformans is one such species. Found worldwide in association with bird guano, C. neoformans primarily causes disease in immunocompromised individuals, disseminating via the lungs to cause life-threatening meningoencephalitis; it is classified as an AIDS-defining illness. In developed countries, the mortality rate is as high as 20% [7], but in developing countries where there is limited availability of treatment, infection can result in close to 100% mortality [8, 9]. While transformation of C. neoformans via electroporation was achieved over 25 years ago [10], the technique was not widely adopted due to its extremely low homologous integration efficiency and the instability of transformants. It was not until the development of a biolistic protocol in 1993 that molecular genetic manipulation in this organism became routine [11]. Although biolistic technology is now widely employed, creating gene deletions in C. neoformans can still be difficult due to the poor reproducibility of the biolistic technique and low levels of integration via homologous recombination [1113]; the majority of transformants are either ectopic integrants or unstable [14].

Upon introduction of genetic material into a cell via transformation there are, broadly, four possible fates. First, the exogenous DNA may be maintained extrachromosomally in the form of a plasmid or minichromosome, provided this is possible in the host species and the DNA sequence is appropriate. Second, the foreign DNA may simply be degraded by the host machinery. Third, the exogenous DNA may integrate into the genome in a targeted manner via homologous recombination, and lastly, the exogenous DNA may integrate at a random site in the genome. These two mechanisms of integration into the genome occur by very different mechanisms. Homologous recombination occurs through crossing over where DNA sequences are exchanged between two similar molecules of DNA; this method is the basis for creating targeted gene deletions. While creating gene deletions via homologous recombination occurs readily in species such as S. cerevisiae, it occurs at a lower frequency in many organisms, including C. neoformans. These species instead tend to predominantly employ non-homologous end joining (NHEJ) and integrate the transformed DNA into a random location in the genome.

In eukaryotes, NHEJ begins with the DNA-dependent protein kinase heterodimeric regulatory factor Ku70-Ku80 forming a link between two broken DNA ends and acting to structurally support, align and protect them from further degradation [15]. In humans, the Ku70-Ku80 heterodimer recruits the catalytic subunit DNA-PKcs, which is thought to induce conformational changes that allow end-processing enzymes to access the DNA ends [1618]; in S. cerevisiae, a complex consisting of Mre11, Rad50 and Xrs2 is thought to perform this function instead [19]. In both species the process of NHEJ is completed when the DNA ligase IV-Xrcc4 complex ligates the broken ends of the DNA back together [16, 1820].

Homologous recombination and NHEJ compete directly against one another to incorporate foreign DNA into the genome. Unfortunately for molecular geneticists, in most species NHEJ usually triumphs over homologous recombination, frustrating researcher’s attempts to make precise genetic modifications. One solution to this problem is to enhance homologous recombination by creating mutants defective in NHEJ [21]. Deletion of the ku genes in N. crassa [22], Kluyveromyces lactis [23], and A. nidulans [24] have all resulted in increased gene deletion success, with targeted integration rates exceeding 90%.

Ku deletion mutants have also been generated in C. neoformans, with mutants exhibiting almost 100% homologous recombination following biolistic transformation [13]. Lin et al. have also shown that the use of a ku80Δ mutant strain increases the rate of homologous integration when using electroporation up to 75%, making this previously superseded technique a viable alternative to biolistic transformation provided the recipient strain is a ku mutant [25]. Unfortunately, using Ku deletion mutants to ensure targeted integration subsequently requires sexual crosses (both time consuming and technically difficult) with a wild-type partner to restore NHEJ because loss of the Ku heterodimer alters virulence. Expression of ku80 is increased during infection in a human host [26], and a ku80Δ mutant is less successful in a competition model of murine infection [27]. Consequently, while useful, Ku deletion strains have not been adopted for widespread use by the C. neoformans community.

Here we describe an alternate strategy to enhance homologous integration in C. neoformans by transient inhibition of NHEJ with the aid of chemical inhibitors. Using a range of candidate drugs that have been shown to inhibit NHEJ in mammalian cell lines, we have successfully identified compounds that enable rates of homologous integration consistently greater than 50%. The efficacy of these compounds in C. neoformans provides an attractive tool for the community as they provide the ability to increase homologous integration in a strain-independent fashion, making molecular genetic manipulations easier to achieve.

Methods

Strains and growth conditions

C. neoformans var. grubii type strain H99 was stored in 15% glycerol at -80°C until use, at which point it was maintained on YPD at 4°C for a maximum of two weeks; this strain was used for all transformations. C. neoformans was cultured in liquid (2% bacto-peptone, 1% yeast extract, and 2% glucose (Sigma, USA)) or solid (2% agar added) YPD media at 30°C. Biolistic transformations were performed on solid YPD media supplemented with 1 M sorbitol (Sigma, USA), and transformants were selected on solid YPD medium containing 100 μg/mL G418 (Sigma, USA). Adenine auxotrophy was detected on YNB media (0.45% yeast nitrogen base w/o amino acids and ammonium sulfate, 2% glucose, 0.5% ammonium sulfate, 2% agar (Sigma, USA)), and melanin production on L-DOPA media (Sigma, USA) [28].

Checkerboard assays

The inhibitors NU7026, NU7441, AG14361 (Selleckchem, USA), mirin (Life Chemicals, Canada), SCR7 (DSK Biopharma Products, USA), W7 hydrochloride (TCI UK Fine Chemicals, UK), vanillin, chlorpromazine, as well as the DNA damaging agents phleomycin, hydroxyurea and 6-mercaptopurine riboside (Sigma, USA) were stored at -20°C until use. Stock solutions and serial two-fold dilutions of each drug were prepared immediately prior to MIC testing according to the recommendations of CLSI (CLSI M27-A2) modified for C. neoformans [29, 30]. For the Fractional Inhibitory Concentration (FIC) assays [31], inhibitors were serially diluted along the abscissa of a 96 well plate, while the DNA damaging agents were diluted along the ordinate. Plates were incubated at 35°C and visually scored at 24 and 48 hr. All MIC and FIC assays were performed in duplicate.

MIC was defined by the lowest concentration of a specific drug that inhibits all visual growth, and was used to determine a ΣFIC value for each combination set. The ΣFIC was calculated as follows: ΣFIC = FIC A + FIC B, where FIC A equals the MIC of the DNA damaging agent in the combination divided by the MIC of the DNA damaging agent alone, and FIC B equals the MIC of the inhibitor in the combination divided by the MIC of the inhibitor alone. The combination was considered strongly synergistic when the ΣFIC value is <0.5, weakly synergistic when ΣFIC is 0.6 to 1.0, additive when ΣFIC is 1.0 to 2.0 and antagonistic when the ΣFIC is >2 [31].

Gene deletion construct generation

Primers used in this study are listed in S1 Table; all PCR was performed using Phusion DNA Polymerase (New England Biolabs, USA). A deletion construct for the ADE2 gene was generated as per Arras et al. [14]. Briefly, the construct was prepared using overlap PCR, employing primers UQ1439 and UQ1442 to join the ADE2 5’ region (primers UQ1439 and UQ1440), the G418 resistance marker NEO (UQ234 and UQ235) and the ADE2 3’ region (UQ1441 and UQ1442). For LAC1, primers UQ3686 and UQ3691 were employed to join the LAC1 5’ region (primers UQ3686 and UQ3687), the G418 resistance marker (UQ3688 and UQ3689) and the LAC1 3’ region (UQ3690 and UQ3691)(S1 Table); H99 genomic DNA was used as the template for ADE2 and LAC1, and the plasmid pJAF1 for NEO [32].

Transformations

Transformations were performed using a procedure modified from Tofaletti et al. and Davidson et al [11, 12]. On the day of transformation, fresh YPD agar plates supplemented with 1 M sorbitol and the tested inhibitor were prepared and dried. A 50 mL C. neoformans culture grown at 30°C for 16 hr was pelleted by centrifugation, washed in dH2O, centrifuged and the pellet resuspended in 500 μL dH2O. Approximately 107 cells were plated onto the inhibitor media, dried in a biosafety cabinet, then incubated for 4 hr at 30°C.

For transformation, 0.25 g of 0.6 μm Gold Microcarriers (Bio-Rad No. 165–2262) were resuspended in 2 mL 100% ethanol. Transforming DNA samples were prepared by mixing 10 μL Gold Microcarriers (Bio-Rad, USA), 10 μL of construct DNA (1 μg/μL), 10 μL 2.5 M CaCl2 (Sigma, USA) and 2 μl fresh 1 M spermidine (Sigma, USA), then incubated for 5 min at 20°C. Following centrifugation and washing in 500 μL 100% ethanol, the sample was pelleted and resuspended in 5 μL 100% ethanol.

For each transformation a Macrocarrier disk (No. 165–2335, Bio-Rad, USA) and a Stopping Screen (No. 165–2336, Bio-Rad, USA) were sterilized in 100% ethanol and dried in a Petri dish. Transforming DNA was pipetted onto the center of the disk, dried then inserted into the Macrocarrier Holder of a Bio-Rad Biolistic PDS-1000/He Particle Delivery System (No. 165–2257, Bio-Rad, USA). A 1,350 psi Rupture Disk (No. 165–2330, Bio-Rad, USA) sterilized in 70% isopropanol was inserted into the Rupture Disk Retaining Cap. The sterilized Stopping Screen was inserted into the Microcarrier Launch Assembly, the Macrocarrier Holder attached with the Macrocarrier Cover Lid, and placed in position one in the PDS-1000/He chamber. Transformation was performed with the C. neoformans plate in position three, bombarded at 1,350 psi under a vacuum of 27 in.Hg.

After recovery at 30°C for 4 hr, 2.5 mL dH2O was added to each plate, the cells suspended with a 1 mL pipette tip, and spread over five YPD plates containing 100 μg/mL G418. Transformants appeared after 3–5 days incubated at 30°C.

Mutant verification

Correct ade2Δ integrants were initially identified via their pink coloration on YPD media and adenine auxotrophy on YNB media. Representative pink transformants were selected for Southern blot analyses to validate correct integration of the ADE2 deletion cassette using the UQ1439 and UQ1442 PCR product as a probe. Correct lac1Δ integrants were identified by their lack of melanization on L-DOPA media, with random transformants verified by Southern blot using the UQ3686 and UQ3691 PCR product as a probe. All transformations were performed in triplicate and only transformations that resulted in 10 or more colonies were included in subsequent analyses. To determine significance of correct integration rates between conditions, two-tailed t-tests were completed in GraphPad Prism Version 6.0c (GraphPad Software, USA). P-values of <0.05 were considered statistically significant.

Results

Identification of potential inhibitors of C. neoformans NHEJ

Given the success in increasing homologous integration in many fungal species by disrupting NHEJ via deletion of genes encoding the Ku proteins [13, 33], we hypothesized that it might be possible to achieve similar results by instead transiently inhibiting key proteins involved in NHEJ repair. Through literature searches we were able to identify seven candidate chemical compounds that are known to inhibit different aspects of mammalian NHEJ, are cost effective, and are readily available on the market (Fig 1).

Fig 1. Inhibitors used in this study.

Fig 1

Eight chemical inhibitors were employed in this study. Depicted above are their chemical structures and their targets in mammalian cell lines.

Therapeutic inhibition of the mammalian DNA-dependent protein kinase heterodimeric regulatory factor (the Ku heterodimer) can be achieved through depletion of its cofactor inositol hexakisphosphate (InsP6) via the calmodulin antagonists N-(6-aminohexyl)-5-chloro-1-naphthalenesulfonamide (W7) and 2-chloro-10-(3-dimethylaminopropyl)phenothiazine hydrochloride (chlorpromazine) [34]. Likewise, inhibition of the catalytic subunit of the mammalian DNA-dependent protein kinase catalytic subunit (DNA-PKcs) is also possible; the Vanilla planifolia-derived phenolic aldehyde vanillin, the benzochromenone 2-(morpholin-4-yl)-benzo[h]chomen-4-one (Nu7026) and the aryl-substituted chromenone 8-dibenzothiophen-4-yl-2-morpholin-4-yl-chromen-4-one (Nu7441) all inhibit mammalian DNA-PK, and have been investigated as anticancer agents [3537]. Z-5-(4-hydroxybenzylidene)-2-imino-1,3-thiazolidin-4-one (mirin) is a known inhibitor of Mre11, and 5,6-bis(((E)-benzylidene)amino)-2-thioxo-2,3-dihydropyrimidin-4(1H)-one (SCR7) targets DNA ligase IV [3841].

In addition to these known NHEJ inhibitors, we also chose to study a compound not directly associated with NHEJ—the poly(ADP-ribose) polymerase-1 (PARP-1) inhibitor 1-(4-((dimethylamino)methyl)phenyl)-8,9-dihydro-2,7,9a-triazabenzo[cd]azulen-6(7H)-one (AG14361), a tricyclic benzimidazole that inhibits single strand DNA repair. As mammalian cells lacking PARP-1 have been shown to have an increased frequency of homologous recombination [42], we reasoned that treatment with an inhibitor of this enzyme may also lead to an increase in homologous recombination in C. neoformans.

To our knowledge, none of these eight drugs have ever been tested against C. neoformans.

Growth inhibition of C. neoformans by inhibitors of mammalian NHEJ

It has previously been demonstrated that the eight chosen inhibitors abolish growth in mammalian cell lines at high concentrations, however it is unknown if they exhibit toxicity against C. neoformans.

To determine the minimum inhibitory concentration (MIC) for each compound in C. neoformans, we based our initial concentration ranges on MIC values identified in previous studies against mammalian cell lines (Table 1). Initial tests revealed that growth of C. neoformans var. grubii type strain H99, the strain in which the vast majority of molecular genetics is performed in this species, is unaffected at the concentrations toxic to mammalian cell culture. Following testing with increasing concentrations, growth inhibition was eventually observed at concentrations substantially higher than that tolerated by mammalian cells (Table 1).

Table 1. MIC values for mammalian cell lines and for C. neoformans.

Mammalian MICs were originally published in nM and have been converted to μg/mL in this table to enable comparison to the C. neoformans data.

Inhibitor Mammalian MIC (μg/mL) Cell line Reference C. neoformans MIC (μg/mL)
W7 10.6 Human HeLa cells [43] 75
Chlorpromazine 35.5 Human 293T cells [34] 160
Vanillin 45.6 Human GM00558 lymphoma cells [35] 750
Nu7026 2.8 Chinese hamster V3YAC cells [42] 125
Nu7441 0.206 Human SW620 cells [37] 250
Mirin 2.2 Chinese hamster ovary cells [39] 320
SCR7 16.6 Mouse embryos [44] 720
AG14361 0.005 Human SW620 cells [45] 250

Synergy between inhibitors and DNA damaging agents

While our MIC assays showed that the candidate NHEJ inhibitors were toxic to C. neoformans in sufficient concentrations, it did not prove that the observed effects were mediated via DNA repair-mediated processes. To provide this evidence we investigated their synergy with known DNA damaging agents; if the observed toxicity was due to inhibition of DNA repair, treatment with the inhibitors should increase sensitivity to DNA damaging agents.

The growth of strain H99 was tested in a checkerboard assay, with increasing concentrations of each DNA damaging agent tested in combination with increasing concentrations of each inhibitor to determine the factorial inhibition concentration (FIC). The FIC index is based on the Loewe additive zero-interaction theory, which states that a drug cannot interact with itself and therefore a drug combination will always be additive with an index of 1 [46]. If the index fluctuates lower indicating synergy it is because more drug would be required in order to produce the same affect of the drugs alone, and the reverse also. As the DNA damaging agents are designed to induce double strand DNA breaks and the NHEJ proteins should be involved in the repair of these breaks, we hypothesized that if a synergistic effect was observed the tested compounds were potentially inhibiting C. neoformans NHEJ.

As DNA damaging agents vary in their effectiveness and method of action, we selected three for our FIC assays. Phleomycin attracts hydrogen atoms from deoxyribose, producing apurinic and apyrimidinic sites that enable single strand breaks, which can in turn become double strand breaks [47]. Hydroxyurea depletes cells of dNTPs via inhibition of ribonucleotide reductase, resulting in stalled replication forks that can collapse into double strand breaks [48]. 6-mercaptopurine is converted into thioinosinic acid, which perturbs purine metabolism and results in double strand breaks [49]. As a starting point for FICs, MIC values were determined for the DNA damaging agents: 10 μg/mL for phleomycin, 1500 μg/mL for mercaptopurine, and 1500 μg/mL for hydroxyurea.

An FIC is considered synergistic when the ΣFIC is <0.5 and weakly synergistic when ΣFIC is >0.5 to <1.0. All of the inhibitors tested showed a weak synergistic effect against at least one of the DNA damaging agents tested. Nu7026, SCR7 and chlorpromazine exhibited synergy with all three DNA damaging agents, and AG14361 with two (Table 2). Vanillin, Nu7441, mirin and W7 all showed a weak synergistic effect with only one DNA damaging agent. These results were promising, given the C. neoformans ku80Δ mutant also exhibits slight sensitivity to phleomycin [13].

Table 2. FIC values were determined for each of the drugs selected.

The ΣFIC was calculated as FIC A + FIC B where the combinations are considered synergistic when the ΣFIC value is <0.5, weakly synergistic when ΣFIC is 0.6 to 1.0, additive when ΣFIC is 1.0 to 2.0 and antagonistic when the ΣFIC is >2.

Inhibitor DNA damaging agent ΣFIC
Mercaptopurine Hydroxyurea Phleomycin
W7 1.19 0.55 1.06
Chlorpromazine 0.73 0.88 0.94
Vanillin 0.79 1.19 1.71
Nu7026 0.55 0.94 0.73
Nu7441 0.86 1.10 1.09
Mirin 0.73 1.05 1.01
SCR7 0.80 0.81 0.88
AG14361 0.71 1.04 0.98

Treatment with W7, chlorpromazine, NU7026, mirin and AG14361 enhance frequency of deletion of ADE2

Given that all eight tested inhibitors exhibited synergy with DNA damaging agents, all were trialed in biolistic transformation by including the inhibitor into the YPD + sorbitol plates used at the beginning of the protocol; the strain to be transformed is incubated on this media for four hours prior to transformation and recovers for four hours after. The fungus is therefore only exposed to the inhibitor for eight hours. Adding inhibitor in varying concentrations at this point would ensure disruption of NHEJ at the time of transformed DNA entry and integration. After recovery, the C. neoformans was transferred to G418 selective media lacking inhibitor, enabling reestablishment of NHEJ. Four concentrations per inhibitor were trialed, all less than the MIC (Table 1). In some instances, much lower concentrations were needed; for example, after no colonies would grow on high concentrations of NU7026, concentrations were subsequently dropped to 5, 2.5 and 1.125 μg/mL.

The first gene ever deleted via biolistic transformation in C. neoformans was the phosphoribosylaminoimidazole carboxylase-encoding ADE2 gene, loss of function mutants of which are easily identified due to their pink colonies and adenine auxotrophy. We employed the same locus in our initial studies as we had data indicating it was unusually easily deleted [14], with ~35% of deletion construct transformants of the ade2Δ genotype.

Inclusion of either W7 or chlorpromazine, inhibitors of mammalian calmodulin proposed to inhibit NHEJ through depletion of Ku cofactor InsP6, resulted in a significant increase in the deletion of ADE2 (Fig 2A). Treatment with W7 at either 5 or 12.5 μg/mL was particularly effective, resulting in deletion frequencies equivalent to those reported for a ku80Δ mutant [13]. A statistically supported increase in ADE2 deletion was also observed, but to a lesser extent, for one of the three inhibitors of mammalian DNA-PKcs (Nu7026), the Mre11 inhibitor mirin and the PARP-1 inhibitor AG14361 (Fig 2B and 2C). Importantly, none of the strains obtained exhibited changes in growth rate or morphology. Furthermore, while we observed an increase in the proportion of correct integrants, there was no gross change in the total number of colonies obtained from each transformation event.

Fig 2. Inhibitors of mammalian NHEJ repair result in increased homologous integration in C. neoformans at the ADE2 locus.

Fig 2

A. Percentage correct integration of the ADE2 construct comparing no inhibitor to the presence of two inhibitors of Ku cofactor production—W7 and chlorpromazine. B. Percentage correct integration of the ADE2 construct in the presence of three inhibitors targeting DNA-PKcs−vanillin, Nu7441 and Nu7026. C. Percentage correct integration of the ADE2 construct comparing no inhibitor to the presence of inhibitors of Mrell (mirin), DNA ligase IV (SCR7) and PARP-1 (AG14361). All values show mean, error bars show S.E.M. * = P<0.05, ** = P<0.01, *** = P<0.005.

Four of the inhibitors also showed an increase when using LAC1 as a target

Our success in enhancing deletion of the ADE2 gene was tempered by one significant fact; it is known that the rate of homologous recombination differs from locus to locus, and that ADE2 is particularly easy to delete. To address concerns of locus specificity, we focused on the five most promising inhibitors—W7, chlorpromazine, NU7026, mirin and AG14361 –in biolistic transformations to delete the laccase-encoding LAC1 gene [50] Each of the inhibitors were this time tested only at the optimal concentration observed in the previous experiment.

Without addition of any inhibitor, our control frequency for LAC1 deletion was only ~10%; much lower than for ADE2 and more in line with typical deletion frequencies observed in the field [11, 12]. Once again W7 and chlorpromazine performed as the best inhibitors, along with Nu7026. In contrast to the ADE2 experiment, inhibitor treatment during LAC1 deletion resulted in approximately half of all transformants exhibiting the deletion genotype, a 5-fold increase in frequency when compared to the no inhibitor control (Fig 3). The failure of mirin to yield a statistically significant result in the LAC1 experiment could be due to the typically large fluctuations in the number of transformants observed during biolistic transformation.

Fig 3. Inhibitors of mammalian NHEJ repair result in increased homologous integration in C. neoformans at the LAC1 locus.

Fig 3

Drug treatment resulted in a significant increase in the frequency of homologous integration events for four of the five inhibitors tested. All values show mean, error bars show S.E.M. * = P<0.05.

Discussion

Despite the clinical importance of C. neoformans, there have been few improvements over the last decade in the molecular tools available to characterize this species. The current methodologies have been invaluable in elucidating the function of many genes, however these techniques have their limitations and new advances are required to facilitate everyday experiments, particularly for large-scale genomic studies [51]. A good example of this is the recent publication of the sequence of C. neoformans var. grubii type strain H99, which represents one of the most complete eukaryotic genomes to date [52], due in no small part to the extensive transcriptomics performed to enable its annotation. Of the 6967 predicted protein coding genes, 45.5% (3170) are listed as hypothetical proteins. The functions of the 1197 miscRNAs also identified during transcriptome sequencing are likewise unknown. To enable a deeper understanding of these genes, as well as those with an annotation based purely on bioinformatic homology, a more robust procedure for performing molecular genetic modifications is essential.

Efforts to enhance the biolistic transformation procedure through disruption of NHEJ have had some success. The use of a ku80Δ strain can increase rates of recombination to nearly 100% [13], but recent publications have revealed that the Ku proteins may be playing a role during infection of the mammalian host. Liu and colleagues demonstrated that a ku80Δ mutant has diminished virulence in murine infection competition experiments [27], and Chen et al. discovered transcription of KU80 is higher in cells isolated from the cerebrospinal fluid of an infected human than from cells grown on YPD [26]. Given these observations, it would be unwise to employ strains carrying the ku80Δ mutation during in vivo studies since it may influence the outcome of infection. Consequently, the ku80Δ mutant has seen little use by the community since its development a decade ago.

However the concept underlying the use of kuΔ mutants still has merit. By employing discoveries made in the field of mammalian NHEJ, we have been able to emulate the higher homologous recombination rates of the ku80Δ mutant without the experimental consequences of permanently compromising NHEJ at the genetic level. Of the eight inhibitors of mammalian NHEJ that we tested, four influenced the rate of homologous recombination for multiple loci. Notably, some of the best results observed correlated with employing the inhibitor at a concentration much lower than the MIC, and much lower than the concentration that confers increased sensitivity to DNA damaging agents. For example, W7 enhanced the rate of generation of a gene deletion at only 5 μg/mL, substantially lower than the concentration at which it displayed weak synergy with the DNA damaging activity of hydroxyurea.

Importantly, the use of transient drug treatment to enhance homologous integration efficiency is also highly cost effective. The best performing inhibitor, W7, is inexpensive and used at such low concentrations that it only costs around $USD 0.26 per plate; a negligible expense that significantly increases the chance of gaining a correct gene deletion on the first attempt, saving both time and reagents on repeated efforts to perform a simple genetic modification. We now employ W7 in all transformations in our laboratory, routinely achieving correct integration rates exceeding 50%.

In this work we demonstrated a new, easily applied methodology that will expedite acquisition of precise genetic alterations in C. neoformans that has distinct advantages over current protocols. We have successfully employed multiple inhibitors to reproducibly enhance the deletion rate at multiple loci. Based on this success, we anticipate that the use of these inhibitors will not only become widespread in the Cryptococcus community, but may also find use in other fungal species as well. More importantly, they will greatly facilitate the ongoing efforts designed to elucidate the function of all genes in the C. neoformans genome, enabling a much deeper understanding of the process of pathogenesis in this clinically important species.

Supporting Information

S1 Table. Primers used in this study.

(DOCX)

Data Availability

All relevant data are within the paper and its supporting information.

Funding Statement

This work was supported by the National Health and Medical Research Council (http://www.nhmrc.gov.au/) grant# 455980 to JAF and ARC Australian Postgraduate Award (https://www.education.gov.au/australian-postgraduate-awards) to SDMA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Griffith F. The Significance of Pneumococcal Types. J Hyg (Lond). 1928;27(2):113–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Avery OT, Macleod CM, McCarty M. Studies on the Chemical Nature of the Substance Inducing Transformation of Pneumococcal Types: Induction of Transformation by a Desoxyribonucleic Acid Fraction Isolated from Pneumococcus Type III.J Exp Med. 1944;79(2):137–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hinnen A, Hicks JB, Fink GR. Transformation of yeast. Proc Natl Acad Sci USA. 1978;75(4):1929–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Beggs JD. Transformation of yeast by a replicating hybrid plasmid. Nature. 1978;275(5676):104–9. [DOI] [PubMed] [Google Scholar]
  • 5.Case ME, Schweizer M, Kushner SR, Giles NH. Efficient transformation of Neurospora crassa by utilizing hybrid plasmid DNA. Proc Natl Acad Sci USA. 1979;76(10):5259–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Tilburn J, Scazzocchio C, Taylor GG, Zabicky-Zissman JH, Lockington RA, Davies RW. Transformation by integration in Aspergillus nidulans. Gene. 1983;26(2–3):205–21. [DOI] [PubMed] [Google Scholar]
  • 7.Perfect JR, Dismukes WE, Dromer F, Goldman DL, Graybill JR, Hamill RJ, et al. Clinical practice guidelines for the management of cryptococcal disease: 2010 update by the infectious diseases society of america. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2010;50(3):291–322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Velagapudi R, Hsueh YP, Geunes-Boyer S, Wright JR, Heitman J. Spores as infectious propagules of Cryptococcus neoformans.Infect Immun. 2009;77(10):4345–55. 10.1128/IAI.00542-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Mwaba P, Mwansa J, Chintu C, Pobee J, Scarborough M, Portsmouth S, et al. Clinical presentation, natural history, and cumulative death rates of 230 adults with primary cryptococcal meningitis in Zambian AIDS patients treated under local conditions.Postgrad Med J. 2001;77(914):769–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Edman JC, Kwon-Chung KJ. Isolation of the URA5 gene from Cryptococcus neoformans var. neoformans and its use as a selective marker for transformation. Mol Cell Biol. 1990;10(9):4538–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Toffaletti DL, Rude TH, Johnston SA, Durack DT, Perfect JR. Gene transfer in Cryptococcus neoformans by use of biolistic delivery of DNA. J Bacteriol. 1993;175(5):1405–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Davidson RC, Cruz MC, Sia RAL, Allen B, Alspaugh JA, Heitman J. Gene disruption by biolistic transformation in serotype D strains of Cryptococcus neoformans. Fungal Genet Biol. 2000;29(1):38–48. [DOI] [PubMed] [Google Scholar]
  • 13.Goins CL, Gerik KJ, Lodge JK. Improvements to gene deletion in the fungal pathogen Cryptococcus neoformans: absence of Ku proteins increases homologous recombination, and co-transformation of independent DNA molecules allows rapid complementation of deletion phenotypes. Fungal Genet Biol. 2006;43(8):531–44. [DOI] [PubMed] [Google Scholar]
  • 14.Arras SD, Chitty JL, Blake KL, Schulz BL, Fraser JA. A genomic safe haven for mutant complementation in Cryptococcus neoformans. PloS one. 2015;10(4):e0122916 10.1371/journal.pone.0122916 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Aravind L, Koonin EV. Prokaryotic homologs of the eukaryotic DNA-end-binding protein Ku, novel domains in the Ku protein and prediction of a prokaryotic double-strand break repair system. Genome Res. 2001;11(8):1365–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Davis AJ, Chen BP, Chen DJ. DNA-PK: a dynamic enzyme in a versatile DSB repair pathway. DNA repair. 2014;17:21–9. 10.1016/j.dnarep.2014.02.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Meek K, Dang V, Lees-Miller SP. DNA-PK: the means to justify the ends? Adv Immunol. 2008;99:33–58. 10.1016/S0065-2776(08)00602-0 [DOI] [PubMed] [Google Scholar]
  • 18.West RB, Yaneva M, Lieber MR. Productive and nonproductive complexes of Ku and DNA-dependent protein kinase at DNA termini. Mol Cell Biol. 1998;18(10):5908–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dudasova Z, Dudas A, Chovanec M. Non-homologous end-joining factors of Saccharomyces cerevisiae. FEMS Microbiol Rev. 2004;28(5):581–601. [DOI] [PubMed] [Google Scholar]
  • 20.Costantini S, Woodbine L, Andreoli L, Jeggo PA, Vindigni A. Interaction of the Ku heterodimer with the DNA ligase IV/Xrcc4 complex and its regulation by DNA-PK. DNA repair. 2007;6(6):712–22. [DOI] [PubMed] [Google Scholar]
  • 21.Neal JA, Dang V, Douglas P, Wold MS, Lees-Miller SP, Meek K. Inhibition of homologous recombination by DNA-dependent protein kinase requires kinase activity, is titratable, and is modulated by autophosphorylation. Mol Cell Biol. 2011;31(8):1719–33. 10.1128/MCB.01298-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Ninomiya Y, Suzuki K, Ishii C, Inoue H. Highly efficient gene replacements in Neurospora strains deficient for nonhomologous end-joining. Proc Natl Acad Sci USA. 2004;101(33):12248–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kooistra R, Hooykaas PJ, Steensma HY. Efficient gene targeting in Kluyveromyces lactis. Yeast. 2004;21(9):781–92. [DOI] [PubMed] [Google Scholar]
  • 24.Nayak T, Szewczyk E, Oakley CE, Osmani A, Ukil L, Murray SL, et al. A versatile and efficient gene-targeting system for Aspergillus nidulans. Genetics. 2006;172(3):1557–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lin X, Chacko N, Wang L, Pavuluri Y. Generation of stable mutants and targeted gene deletion strains in Cryptococcus neoformans through electroporation. Med Mycol. 2015;53(3):225–34. 10.1093/mmy/myu083 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chen Y, Toffaletti DL, Tenor JL, Litvintseva AP, Fang C, Mitchell TG, et al. The Cryptococcus neoformans transcriptome at the site of human meningitis. mBio. 2014;5(1):e01087–13. 10.1128/mBio.01087-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Liu OW, Chun CD, Chow ED, Chen C, Madhani HD, Noble SM. Systematic genetic analysis of virulence in the human fungal pathogen Cryptococcus neoformans. Cell. 2008;135(1):174–88. 10.1016/j.cell.2008.07.046 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chaskes S, Tyndall RL. Pigment production by Cryptococcus neoformans from para- and ortho-Diphenols: effect of the nitrogen source. J Clin Microbiol. 1975;1(6):509–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Institute. CaLS. Reference method for broth dilution antifungal susceptibility testing of yeasts; approved standard-second edition. CLSI document M27-A2 Wayne, PA: Clinical and Laboratory Standards Institute. 2005.
  • 30.Chow EWL, Morrow CA, Djordjevic JT, Wood IA, Fraser JA. Microevolution of Cryptococcus neoformans Driven by Massive Tandem Gene Amplification. Mol Biol Evol. 2012;29(8):1987–2000. 10.1093/molbev/mss066 [DOI] [PubMed] [Google Scholar]
  • 31.Hall MJ, Middleton RF, Westmacott D. The fractional inhibitory concentration (FIC) index as a measure of synergy. J Antimicrob Chemother. 1983;11(5):427–33. [DOI] [PubMed] [Google Scholar]
  • 32.Fraser JA, Subaran RL, Nichols CB, Heitman J. Recapitulation of the sexual cycle of the primary fungal pathogen Cryptococcus neoformans var. gattii: implications for an outbreak on Vancouver Island, Canada. Eukaryot Cell. 2003;2(5):1036–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Krappmann S, Sasse C, Braus GH. Gene targeting in Aspergillus fumigatus by homologous recombination is facilitated in a nonhomologous end- joining-deficient genetic background. Eukaryot Cell. 2006;5(1):212–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Byrum J, Jordan S, Safrany ST, Rodgers W. Visualization of inositol phosphate-dependent mobility of Ku: depletion of the DNA-PK cofactor InsP6 inhibits Ku mobility. Nucleic Acids Res. 2004;32(9):2776–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Durant S, Karran P. Vanillins—a novel family of DNA-PK inhibitors. Nucleic Acids Res. 2003;31(19):5501–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Willmore E, de Caux S, Sunter NJ, Tilby MJ, Jackson GH, Austin CA, et al. A novel DNA-dependent protein kinase inhibitor, NU7026, potentiates the cytotoxicity of topoisomerase II poisons used in the treatment of leukemia. Blood. 2004;103(12):4659–65. [DOI] [PubMed] [Google Scholar]
  • 37.Leahy JJ, Golding BT, Griffin RJ, Hardcastle IR, Richardson C, Rigoreau L, et al. Identification of a highly potent and selective DNA-dependent protein kinase (DNA-PK) inhibitor (NU7441) by screening of chromenone libraries. Bioorg Med Chem Lett. 2004;14(24):6083–7. [DOI] [PubMed] [Google Scholar]
  • 38.Ying S, Hamdy FC, Helleday T. Mre11-dependent degradation of stalled DNA replication forks is prevented by BRCA2 and PARP1. Cancer research. 2012;72(11):2814–21. 10.1158/0008-5472.CAN-11-3417 [DOI] [PubMed] [Google Scholar]
  • 39.Thompson EG, Fares H, Dixon K. BRCA1 requirement for the fidelity of plasmid DNA double-strand break repair in cultured breast epithelial cells. Environ Mutagen. 2012;53(1):32–43. [DOI] [PubMed] [Google Scholar]
  • 40.Srivastava M, Nambiar M, Sharma S, Karki SS, Goldsmith G, Hegde M, et al. An inhibitor of nonhomologous end-joining abrogates double-strand break repair and impedes cancer progression. Cell. 2012;151(7):1474–87. 10.1016/j.cell.2012.11.054 [DOI] [PubMed] [Google Scholar]
  • 41.Maruyama T, Dougan SK, Truttmann MC, Bilate AM, Ingram JR, Ploegh HL. Increasing the efficiency of precise genome editing with CRISPR-Cas9 by inhibition of nonhomologous end joining. Nat Biotechnol. 2015;33(5):538–42. 10.1038/nbt.3190 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Calabrese CR, Almassy R, Barton S, Batey MA, Calvert AH, Canan-Koch S, et al. Anticancer chemosensitization and radiosensitization by the novel poly(ADP-ribose) polymerase-1 inhibitor AG14361. J Natl Cancer Inst Monogr. 2004;96(1):56–67. [DOI] [PubMed] [Google Scholar]
  • 43.Asano M. Divergent pharmacological effects of three calmodulin antagonists, N-(6-aminohexyl)-5-chloro-1-naphthalenesulfonamide (W-7), chlorpromazine and calmidazolium, on isometric tension development and myosin light chain phosphorylation in intact bovine tracheal smooth muscle. J Pharmacol Exp Ther. 1989;251(2):764–73. [PubMed] [Google Scholar]
  • 44.Singh P, Schimenti JC, Bolcun-Filas E. A mouse geneticist's practical guide to CRISPR applications. Genetics. 2015;199(1):1–15. 10.1534/genetics.114.169771 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.De Soto JA, Wang X, Tominaga Y, Wang RH, Cao L, Qiao W, et al. The inhibition and treatment of breast cancer with poly (ADP-ribose) polymerase (PARP-1) inhibitors.Int j Biol Sci. 2006;2(4):179–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Meletiadis J, Pournaras S, Roilides E, Walsh TJ. Defining fractional inhibitory concentration index cutoffs for additive interactions based on self-drug additive combinations, Monte Carlo simulation analysis, and in vitro-in vivo correlation data for antifungal drug combinations against Aspergillus fumigatus. Antimicrob Agents Chemother. 2010;54(2):602–9. 10.1128/AAC.00999-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Sleigh MJ. The mechanism of DNA breakage by phleomycin in vitro. Nucleic Acids Res. 1976;3(4):891–901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Petermann E, Orta ML, Issaeva N, Schultz N, Helleday T. Hydroxyurea-stalled replication forks become progressively inactivated and require two different RAD51-mediated pathways for restart and repair. Mol Cell. 2010;37(4):492–502. 10.1016/j.molcel.2010.01.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Karran P. Thiopurines, DNA damage, DNA repair and therapy-related cancer. British medical bulletin. 2006;79–80:153–70. [DOI] [PubMed] [Google Scholar]
  • 50.Williamson PR. Biochemical and Molecular Characterization of the Diphenol Oxidase of Cryptococcus-Neoformans—Identification as a Laccase. J Bacteriol. 1994;176(3):656–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Perfect JR. Cryptococcosis: a model for the understanding of infectious diseases. J Clin Invest. 2014;124(5):1893–5. 10.1172/JCI75241 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Janbon G, Ormerod KL, Paulet D, Byrnes EJ 3rd, Yadav V, Chatterjee G, et al. Analysis of the genome and transcriptome of Cryptococcus neoformans var. grubii reveals complex RNA expression and microevolution leading to virulence attenuation. PLoS Genet. 2014;10(4):e1004261 10.1371/journal.pgen.1004261 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Primers used in this study.

(DOCX)

Data Availability Statement

All relevant data are within the paper and its supporting information.


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