Literature DB >> 33425251

Transcriptomic and genomic changes associated with radioadaptation in Exophiala dermatitidis.

Mackenzie E Malo1, Zachary Schultzhaus2, Connor Frank1, Jillian Romsdahl3, Zheng Wang2, Ekaterina Dadachova1.   

Abstract

Melanized fungi have been isolated from some of the harshest radioactive environments, and their ability to thrive in these locations is in part due to the pigment melanin. Melanin imparts a selective advantage to fungi by providing a physical shield, a chemical shield, and possibly a signaling mechanism. In previous work we demonstrated that protracted exposure of the melanized yeast Exophiala dermatitidis to mixed alpha-, beta-, and gamma-emitting radiation resulted in an adapted strain able to mount a unique response to ionizing radiation in the environment in a melanin-dependent fashion. By exploring the genome and transcriptome of this adapted melanized strain relative to a non-irradiated control we determined the altered response was transcriptomic in nature, as whole genome sequencing revealed limited variation. Transcriptomic analysis indicated that of the adapted isolates analyzed, two lineages existed: one like the naïve, non-adapted strain, and one with a unique transcriptomic signature that exhibited downregulation of metabolic processes, and upregulation of translation-associated genes. Analysis of differential gene expression in the adapted strain showed an overlap in response between the control conditions and reactive oxygen species conditions, whereas exposure to an alpha particle source resulted in a robust downregulation of metabolic processes and upregulation of DNA replication and repair genes, and RNA metabolic processes. This suggest previous exposure to radiation primes the fungus to respond to subsequent exposures in a unique way. By exploring this unique response, we have expanded our knowledge of how melanized fungi interact with and respond to ionizing radiation in their environment.
© 2020 The Authors.

Entities:  

Keywords:  Fungi; Ionizing radiation; Melanin; Radioadaptation; Transcriptome

Year:  2020        PMID: 33425251      PMCID: PMC7772362          DOI: 10.1016/j.csbj.2020.12.013

Source DB:  PubMed          Journal:  Comput Struct Biotechnol J        ISSN: 2001-0370            Impact factor:   7.271


Introduction

Numerous fungal species can be considered as some of the most radiation resistant organisms. They have been isolated from several extreme environments, such as Antarctic deserts, the Chernobyl Atomic Energy Station (including within reactor 4 where the disaster actually initiated), and the International Space Station (ISS) [37], [46], [35], [34], [44], [4], [5], [43], [20], [12], and so have proven not only capable of surviving both acute and chronic exposure to various forms of radiation whilst enduring a variety of other environmental stresses, but also thriving in these unique conditions [47]. In the search to identify what makes fungi so impervious to radiation, the pigment melanin has been identified as an interesting candidate. Melanin has been detected in ancient fossils dating back to the Cretaceous and Jurassic periods, and is present in most kingdoms, suggesting strong evolutionary preservation [55], [31], [16]. The presence of melanin, moreover, is associated with enhanced survival and improved fitness in extremely radioactive environments, as indicated by the prevalence of melanized fungal strains isolated from these locations [28]. This indicates that melanin has played an important role in Earth’s history, and still imparts some important attributes to many organisms, particularly with regards to stress resistance. In previous works, we and others have demonstrated that melanized fungal species, including Cryptococcos neoformans, Exophiala dermatitidis, and Cryomyces antarcticus, display enhanced growth and improved survival when exposed to ionizing radiation when compared to their non-melanized counterparts [29], [30], [27], [36], [11]. Melanin appears to enhance resistance to radioactive environments by providing a physical shield via Compton scattering, a chemical shield by quenching reactive oxygen species (ROS), altering growth kinetics and energy use, and possibly as a signaling mechanism by communicating conditions in the environment via its action as a redox capacitor, thereby initiating a transcriptomic response [11], [10], [50], [7], [19], [25], [41]. Work by Zhdanova and Tugay on fungal isolates from the Chernobyl “exclusion zone” demonstrated that a number of isolates were 1) resistant to, 2) stimulated by, and 3) adapted for growth in radioactive environments [49], [12], [48], [56]. The fungal isolates demonstrated enhanced hyphal growth in the direction of a radioactive source, as well as enhanced spore germination, whereas control strains that had never been exposed to radiation experienced growth inhibition when exposed to radiation. The molecular details of how fungi detect, interact with, and respond to ionizing radiation in the environment, however, are unknown. To investigate this issue further, we recently developed radiation adapted lab strains that could be used to further our understanding of this phenomenon [30] through the protracted exposure of melanized and non-melanized E. dermatitidis strains to Actinium-225 (225Ac), which is a mixed alpha, beta and gamma-emitter. A subsequent phenotypic characterization of these “radioadapted” strains (Fig. 1) determined that the melanized, adapted strain showed increased colony size relative to naïve and albino control strains when grown adjacent to an alpha particle emitter, had enhanced electron transfer capacity, and displayed improved resistance to ROS. We interpreted these results to mean that previous exposure to ionizing radiation enhanced the capacity of our fungal cultures to detect and respond to radiation in the environment.
Fig. 1

Polonium-210 Exposure. Wildtype naïve (WTN) and wildtype 225Ac adapted (WTA) Exophiala dermatitidis colonies growth adjacent to 210Po source. Representative colonies shown with a 1 mm scale bar.

Polonium-210 Exposure. Wildtype naïve (WTN) and wildtype 225Ac adapted (WTA) Exophiala dermatitidis colonies growth adjacent to 210Po source. Representative colonies shown with a 1 mm scale bar. Our goal with the current study is to further understand the changes that occurr in this adapted, melanized strain that enable it to detect and interact with ionizing radiation in the environment. To that end, we set out to explore the genomic and transcriptomic landscape of several of these radioadapted strains. We found that, while few permanent mutations occurred during the adaptation process, one lineage of the melanized (wild type) adapted strain exhibited extensive transcriptomic changes, as well as the ability to respond to subsequent ionizing radiation exposure more robustly. Details of this response are provided below, which provide insight into how and why fungi grow and thrive in these uniquely harsh conditions.

Materials and methods

Growth conditions

The strains that were used in this experiment were the wild type (WT) strain of E. dermatitidis 8656 (aka ATCC34100, Exophiala dermatitidis CBS 525.76) and the albino mutant strain, wdpks1 [14], that were either radioadapted by protracted exposure in media containing 1 mCi/ml 225Ac or were passaged under background conditions and served as naïve controls, all of which were developed by our group in a previous study [30]). The protracted dose of 183 Gy/5 weeks delivered at a low dose rate of 0.02 mGy/min is a non-lethal dose for a melanized fungus, as melanized fungi can survive doses of >200 Gy delivered at high dose rates of >1000 mGy/min [28]. Single colonies from these naïve control and 225Ac-adapted strains were isolated, cultured, and preserved as frozen glycerol stocks to be utilized for all experiments in this study (Table 1. Isolates were maintained in a modified Sabouraud Emmons Broth (SAB; 2% dextrose, 1% peptone) at 30⁰C with shaking at 200 rpm until they reached an approximate concentration of 106 cells/ml. Cells were then transferred into minimal media (MM; 2 g/L KH2PO4, 1.25 g/L MgSO4·7H2O, 0.5 g/L glycine, 0.5 g/L dextrose, 0.003 g/L thiamine) and cultured at 30⁰C.
Table 1

Strains used in this study.

Original StrainAdaptation conditions [30]Total Dose (over 5 weeks/35d)Isolate ID
ATCC34100, Exophiala dermatitidis CBS 525.76Wildtype Naïve (WTN)Background1, 2
ATCC34100, Exophiala dermatitidis CBS 525.76Wildtype 225Ac Adapted (WTA)183 Gy3–6
wdpks1Albino Naïve (pksN)Background7, 8
wdpks1Albino 225Ac Adapted (pksA)183 Gy9, 12
Strains used in this study.

Polonium-210 exposure

Isolates grown in minimal media where dextrose was replaced with 0.01% sucrose (MMS) were used in alpha (α) particle radiation stimulation studies as previously described [30]. In brief, a 500 µCi Polonium-210 (210Po) source (NRD, Grand Island, NY, USA) housed in a metal holder was placed within 3 mm of solid media. The source within the metal holder produced a collimated 0.5 µGy/hr beam of radiation that interacted with the solid growth media. Fungal cultures were diluted to a concentration of 103 cells/ml and approximately 10 cells were plated on solid MMS media such that they were outside of the collimated beam of radiation generated by the 210Po source.

DNA and RNA sequencing

To obtain nucleic acids for genome and transcriptomic analysis, samples were prepared as follows. Isolate cultures were grown in MM as described above until the wildtype strains developed visible melanin, which was approximately 2 days, and were still in logarithmic growth. The concentration of each culture was measured and samples containing 3 × 107cells/ml were collected through centrifugation, the supernatant removed, and the total genomic DNA extracted using OmniPrep™ for Yeast (G-Biosciences, St. Louis, MO). For RNA collection, MM cultures of two wildtype naïve and four wildtype, melanized adapted strains were transferred to MMS and cultured for an additional 24 hrs to simulate starvation conditions. Cultures were then and adjusted to 107 cells/ml and transferred to 6-well plates. Each plate was then exposed to one of the following conditions: 1) Background radiation 2) Ionizing radiation exposure The 210Po strip (500 µCi) was placed directly above of the wells and generated a 0.5 µGy/hr dose rate. The fungi settled to the bottom, and the growth media was sufficient to shield alpha-particles from direct interaction with the fungal cells. 3) ROS exposure (through addition of 0.1 mM H2O2 to the medium) Exposures took placed at 30 °C in the dark for 1 week, after which total RNA was extracted from the samples with the RiboPure™ RNA purification Kit for Yeast (ThermoFisher Scientific). Libraries were constructed and sequenced on the Illumina NovaSeq S4 Sequencer by the Yale Center for Genome Analysis (YCGA, Yale School of Medicine, West Haven, CT).

Genomic analysis

For genome sequencing 2 wildtype naïve, 3 wildtype adapted, 2 wdpks1 naïve, and 2 wdpks1 adapted strains were analyzed (Table 1). The reference genome and annotation files for the raw paired-end 150 base reads were trimmed using Trimmomatic v 0.36 [6] and aligned to the publicly available E. dermatitidis NIH/UT8656 reference genome obtained from the EnsemblFungi web portal (https://fungi.ensembl.org/). Specifically, the Burrows-Wheeler Aligner (BWA) software package v 0.7.17 [24] was used to map reads and the sequence data was further processed using SAMtools v 1.9.PCR artifacts were removed using Picard tools MarkDuplicates (https://broadinstitute.github.io/picard/) and variants were identified using GATK v 3.8.7 [32]. GATK’s IndelRealigner was used to realign reads containing putative INDELs and GATK’s Haplotype Caller was used to call variants. GATK’s Genotype GVCFs was used to combine the resulting Variant Call Format (VCF) files, which generated one VCF file for all E. dermatitidis WT samples and a second VCF files for pks samples, which were filtered using GATK’s VariantFiltration based on stringent cutoffs for quality and coverage {SNPs: QD < 2.0, MQ < 40.0, QUAL < 100, FS > 60.0, MQRankSum < − 12.5, SOR > 4.0, ReadPosRankSum < − 8.0; INDELs: QD < 2.0, FS > 200.0, MQRankSum < − 12.5, SOR > 4, InbreedingCoeff < − 0.8, ReadPosRankSum < − 20.0}. The resulting high-quality variants were then filtered such that any variant present in the naive strain was removed from that strain’s sample set. The remaining variants were annotated using annotation files obtained from EnsemblFungi and functional effects were predicted using snpEff [9].

Transcriptomic analysis

Analysis of RNA-seq data was performed on samples outlined in Table 2 in the following manner, as previously described [45]: transcript lengths and counts were determined using Salmon v. 1.3.0 software [38] with raw FASTQ reads as input and an index built from the E. dermatitidis NIH/8656 transcriptome that was assembled for prior experiments and is available on NCBI (Accession No. PRJNA224192) [45], [8], [41]. The resulting quant.sf files were used for pairwise comparisons with the DESeq2 package from Bioconductor version 3.0 [13] on R Studio version 3.1 [1]. Genes were differentially expressed between two conditions if their adjusted p-value (also referred to here as FDR) was <0.05. The resulting lists of differentially expressed genes were compared between conditions using Venny [33], and were analyzed for enrichment of certain Gene Ontology – Biological Process categories using FungiFun2 (https://elbe.hki-jena.de/fungifun/) [39].
Table 2

RNA Samples collected for Transcriptomic Analysis.

ConditionWT Melanized Strain AnalyzedIsolate ID
Background RadiationWT Naïve Control (WTN-C)1
2
WT Adapted Control (WTA-C)3
4
5
6
Ionizing Radiation Exposure (210Po)WT Naïve Radiation (WTN-R)1
2
WT Adapted Radiation (WTA-R)3
4
5
6
Reactice Oxygen Species Exposure (H2O2)WT Naïve Oxidation (WTN-O)1
2
WT Adapted Oxidation (WTA-O)3
4
5
6
RNA Samples collected for Transcriptomic Analysis.

Results and discussion

Genomic changes in radioadapted E. dermatitidis strains

Because ionizing radiation is a potent mutagen, we first assessed the genomic change that occurred within the adapted isolates from both the wildtype (WTA) and wdpks1 (pksA) genetic backgrounds to understand how protracted exposure affected their DNA sequence. An overview of the genetic variants identified in WTA and pksA strains relative to the naïve strains (WT and pks) are displayed in Table 3. Interestingly, very few mutations were observed in the WTA radioadapted strains, with the number of identified SNPs ranging from 0 to 2 and the number of INDELs ranging from 2 to 9. Observed variants included a missense mutation in strain WTA5 in the HMPREF1120_01028 gene, which encodes an ATP-dependent RNA helicase, a conservative inframe insertion in WTA3 in the HMPREF1120_07349 gene, which encodes a flagellar motor protein domain, and a disruptive inframe deletion in WTA6 in the HMPREF1120_00159 gene, which encodes a kinesin family member (Table 4, Supporting Table 1). Notably, two frameshift mutations (which often lead to a truncated or nonfunctional protein products) were observed in the WTA3 radioadapted strain. These variants occurred in stress-response nuclear envelope protein-encoding HMPREF1120_01736 and alpha/beta-hydrolase-encoding HMPREF1120_03360.
Table 3

Summary of genetic mutations identified in WTA and pksA radioadapted strains relative to their respective naïve strain.

Strain IDWTA3WTA5WTA6pksA9pksA12
No. of SNPs021221
Intergenic011119
Missense01002
UTR00010
No. of INDELs923712
Intergenic52255
Frameshift20024
UTR10001
Disruptive inframe00101
Conservative inframe10001
Total944933
Table 4

Genetic variants identified in WTA radioadapted strains relative to the WT naïve strain. The table describes the chromosome and nucleotide position of the variant, as well as the mutation type, which was predicted using snpEff. For intergenic variants, the gene name and annotation refer to the gene that is closest to that mutation.

CHROMPOSITIONMUTATION TYPEGENE/NEAREST GENEANNOTATIONOCCURRENCE
1433,055Disruptive infame deletionHMPREF1120_00159Kinesin family memberWTA6
12,836,819MissenseHMPREF1120_01028ATP-dependent RNA helicaseWTA5
2631,490FrameshiftHMPREF1120_01736Stress-response nuclear envelopeWTA3
22,528,760IntergenicHMPREF1120_02387UDP-glucose 4-epimeraseWTA3
31,006,101FrameshiftHMPREF1120_03360Alpha/beta-hydrolaseWTA3
31,268,8823′ UTR variantHMPREF1120_03462Phosphatidylinositol glycanWTA3
31,576,609IntergenicHMPREF1120_03561Alanine transaminaseWTA6
33,187,642IntergenicHMPREF1120_04157MFS transporterWTA3, WTA5, WTA6
41,158,832IntergenicHMPREF1120_04747Carbonic anhydraseWTA5
52,628,494IntergenicHMPREF1120_06504SSS family solute:Na + symporterWTA3, WTA6
61,418,001Conservative inframe insertionHMPREF1120_07349Flagellar motor protein MotB domainWTA3
61,971,753IntergenicHMPREF1120_07545Redox-sensitive bicupin; pirin superfamilyWTA3, WTA5
71,180,436IntergenicHMPREF1120_08242Hypothetical proteinWTA3
Summary of genetic mutations identified in WTA and pksA radioadapted strains relative to their respective naïve strain. Genetic variants identified in WTA radioadapted strains relative to the WT naïve strain. The table describes the chromosome and nucleotide position of the variant, as well as the mutation type, which was predicted using snpEff. For intergenic variants, the gene name and annotation refer to the gene that is closest to that mutation. Among the wdpks1- radioadapted strains, pksA9 featured 2 SNPs and 7 INDELs, which was comparable to the number of variants observed in the WT radioadapted strains (Table 3). These variants included frameshift mutations in HMPREF1120_06854, which encodes phytanoyl-CoA hydroxylase, and HMPREF1120_04304, which encodes ubiquitin-conjugating enzyme E2 (Table 5, Supporting Table 2). Notably, the latter frameshift insertion was also observed in pksA12. An increased number of SNPs was observed in pksA12 relative to all other radioadapted strains (Table 5, Supporting Table 2). Most of these SNPs (17), and well as 2 INDELs, occurred in a 500 bp intergenic region approximately 2.5 kbs upstream from the coding region of HMPREF1120_04917, which encodes ubiquitin C-terminal hydrolase. The pksA12 strain also harbored frameshift mutations that occurred in heat shock protein domain-encoding HMPREF1120_00517, arginase-encoding HMPREF1120_06649, and non-ribosomal peptide synthetase (NRPS) SidC-encoding HMPREF1120_07636, which is involved in siderophore biosynthesis. Another notable variant was an intergenic SNP, identified in 2 WTA and both pksA radioadapted strains, that was approximately 1.4 kbps away from HMPREF1120_07545, which encodes a protein with similarity to redox-sensitive bicupin YhaK.
Table 5

Genetic variants identified in pksA radioadapted strains relative to the pks naïve strain. The table describes the chromosome and nucleotide position of the variant, as well as the mutation type, which was predicted using snpEff. For intergenic variants, the gene name and annotation refer to the gene that is closest to that mutation.

CHROMPOSITIONMUTATION TYPEGENE/NEAREST GENEANNOTATIONOCCURRENCE
11,426,160FrameshiftHMPREF1120_00517DnaJ-domain (heat shock protein)pksA12
13,069,904IntergenicHMPREF1120_01094DNA Pol 3 subunitpksA9, pksA12
3843,5005′ UTR variantHMPREF1120_03304Endo-1,3(4)-beta-glucanasepksA9
32,568,6523′ UTR variantHMPREF1120_03921Hypothetical proteinpksA12
33,187,642IntergenicHMPREF1120_04157MFS transporterpksA9, pksA12
33,617,951FrameshiftHMPREF1120_04304Ubiquitin-conjugating enzyme E2pksA9, pksA12
41,631,962IntergenicHMPREF1120_04917Ubiquitin C-terminal hydrolasepksA12
41,631,965IntergenicHMPREF1120_04917Ubiquitin C-terminal hydrolasepksA12
41631762–163225417 Intergenic variantsHMPREF1120_04917Ubiquitin C-terminal hydrolasepksA12
5998,035Conservative inframe deletionHMPREF1120_05954Transducin (beta)-like 1pksA12
53,033,533FrameshiftHMPREF1120_06649ArginasepksA12
648,768FrameshiftHMPREF1120_06854Phytanoyl-CoA hydroxylasepksA9
61,198,245MissenseHMPREF1120_07268Alcohol dehydrogenase (NADP+)pksA12
61,666,136Disruptive inframe deletionHMPREF1120_07440MFS transporter, SP family, sugar:H + symporterpksA12
61,971,753IntergenicHMPREF1120_07545Redox-sensitive bicupin; pirin superfamilypksA9
61,971,778IntergenicHMPREF1120_07545Redox-sensitive bicupin; pirin superfamilypksA12
62,002,737IntergenicHMPREF1120_07554Hypothetical proteinpksA9
62,252,182FrameshiftHMPREF1120_07636NRPS SidC (siderophore biosynthesis)pksA12
770,963IntergenicHMPREF1120_07867Multi-sensor signal transduction histidine kinasepksA12
71,099,400IntergenicHMPREF1120_08213Transcription factorpksA9
71,142,537MissenseHMPREF1120_08228Hypothetical proteinpksA12
71,503,364IntergenicHMPREF1120_08366Autophagy-related proteinpksA9, pksA12
Genetic variants identified in pksA radioadapted strains relative to the pks naïve strain. The table describes the chromosome and nucleotide position of the variant, as well as the mutation type, which was predicted using snpEff. For intergenic variants, the gene name and annotation refer to the gene that is closest to that mutation.

Transcriptomic characterization of radioadapted E. dermatitidis

We previously demonstrated that radioadaptation resulted in the increased colony growth in radioadapted strains in comparison with naïve strains when both strains were exposed to ionizing radiation from an α particle emitting Polonium-210 source, as well as increased electron transfer capacity, and improved resistance to the toxic effects of ROS [30]. To understand what was occurring to produce this altered biological response, we set out to characterize the transcriptome of the adapted, melanized strain (WTA) relative to the naïve, melanized strain (WT). For this experiment, we used wild type strains (Table 2) that were also characterized by genome sequencing, including four strains isolated from the wildtype 225Ac adapted culture (WTA3-6) were used, along with two control strains (WTN1-2) that were isolated from a naïve, wildtype culture not previously exposed to this radionuclide. We did not perform this analysis on the non-melanized strains, as they did not exhibit radiation-associated phenotypes in our initial experiments [30]. The overall transcript reads and expression changes between each strain and condition are given in Supporting Tables 3 and 4. The first analysis on this data that we performed on this data was to view the correlation between Transcripts Per Million (TPM) values produced by the Salmon alignment and transcript quantification program, to determine how each dataset was correlated across replicates, strains, and conditions. Notably, Fig. 2 shows that this comparison revealed that the TPM values from control sample 1 (wildtype, naïve sample 1C) highly correlated (R2 > 0.95) not only with sample 2 (wildtype, naïve sample 2C), but with also samples 3 (wildtype, adapted 3C) and 6 (wild type, adapted 6C), whereas samples 4 (wildtype, adapted 4C) and 5 (wildtype, adapted 5C) were closely correlated with each other under this condition (R2 = 0.9735) but substantially different than the other four samples (R2 < 0.73). This suggested to us that the adapted culture from which the four strains were isolated included a mixture of at least two strains – one with a transcriptome that we observed was similar to the naïve strain, and one that had a unique transcriptomic signature. The second observation we made from this analysis, as demonstrated in Fig. 3, was that the subsequent stress exposures (to 210Po and H2O2) had extremely minor effects on the transcriptomes of both sets of strains (represented here by WT1 and WTA4). Overall, the number of differentially expressed genes between each condition and sample can be observed in Fig. 4.
Fig. 2

Comparison of control RNAseq samples using Transcripts Per Million (TPM) values observed for each predicted transcript encoded by the E. dermatitidis genome. Samples 1 and 2 represent naïve strains, while samples 3–6 represent adapted strains.

Fig. 3

Comparison of the responses of naïve (Strain 1) and adapted (Strain 4) to H2O2 (O) and Polonium-210 (R) exposure, visualized with RNAseq data using Transcripts Per Million (TPM) values observed for each predicted transcript encoded by the E. dermatitidis genome.

Fig. 4

RNA-seq results demonstrated as the total number of differentially expressed (DE) genes (FDR < 0.05) between pairwise comparisons of samples and conditions in this experiment. Strains include wildtype (WT) and adapted (A). Conditions include background (C), H2O2 (O), or ionizing radiation (R).

Comparison of control RNAseq samples using Transcripts Per Million (TPM) values observed for each predicted transcript encoded by the E. dermatitidis genome. Samples 1 and 2 represent naïve strains, while samples 3–6 represent adapted strains. Comparison of the responses of naïve (Strain 1) and adapted (Strain 4) to H2O2 (O) and Polonium-210 (R) exposure, visualized with RNAseq data using Transcripts Per Million (TPM) values observed for each predicted transcript encoded by the E. dermatitidis genome. RNA-seq results demonstrated as the total number of differentially expressed (DE) genes (FDR < 0.05) between pairwise comparisons of samples and conditions in this experiment. Strains include wildtype (WT) and adapted (A). Conditions include background (C), H2O2 (O), or ionizing radiation (R).

Differentially expressed genes in the adapted strains

It is clear from the total number of differentially transcribed genes, that the major differences observed were associated with the adaptation process in isolates 4 and 5, and not the exposure conditions. These strains demonstrated that, although not essential, there was a possibility for a marked change in gene expression in cells that were incubated in such an environment, so we focused on the differences between these (hereafter WTA) and the naïve (hereafter WTN) strains. We did this by analyzing the transcripts that changed in abundance between these two pairs of strains either in background conditions or after exposure to 210Po or to 0.1 mM H2O2 under conditions of starvation. Such differences under background conditions would suggest more stable changes between the two strains that could potentially be used as signatures of previous exposure in E. dermatitidis, while differences in the response to 210Po, for example, would reflect the responses of radioadapted strains to future radiation challenge. Fig. 5 attempts to unravel these possibilities by observing the overlap between these three sets of up- and down-regulated genes. Interestingly, although the exposure did not greatly affect the transcriptome in any given strain lineage, less than half of the differentially expressed genes were shared among the three conditions, suggesting that the adapted strains had a unique response to these distinct environments. This was especially notable for 210Po exposure, as 696/1713 of the genes differentially expressed between the two strains were unique to this condition. We view this result as evidence that the adapted strain had the ability to respond more robustly to a second exposure to ionizing radiation.
Fig. 5

Venn diagram demonstrating the number of differentially expressed genes (FDR < 0.05) that are either upregulated (left) or downregulated (right) in the adapted strains relative to the wild type strains when exposed to background (C), H2O2 (O), or ionizing radiation (R). Gene Ontology – Biological Processes as provided by Fungifun (see Methods). Percentages indicate fraction of total differentially expressed genes.

Venn diagram demonstrating the number of differentially expressed genes (FDR < 0.05) that are either upregulated (left) or downregulated (right) in the adapted strains relative to the wild type strains when exposed to background (C), H2O2 (O), or ionizing radiation (R). Gene Ontology – Biological Processes as provided by Fungifun (see Methods). Percentages indicate fraction of total differentially expressed genes. The differences between the WTN and WTA strains with varied transcriptomic signatures become even clearer after gene enrichment analysis, where one considers the function of these sets of significantly regulated transcripts (Table 6). We observed that in all cases, genes encoding proteins involved in oxidation–reduction processes were significantly downregulated in the adapted compared to the naïve. The oxidation–reduction process title is somewhat misleading, as what we actually see are genes involved in catalyzing redox reactions in the context of the electron transport chain and metabolism (Supporting Table 8), and include enzymes such as alcohol dehydrogenase, acyl-CoA dehydrogenase, cytochrome P450 monooxygenase, glucose-1 dehydrogenase [17]. When you look at how the genes in this process overlap, a substantial number were unique to the radioactive environment conditions (Fig. 5 and Supporting Tables 5–7), yet these unique genes were still primarily involved in catalyzing redox reactions in the context of the electron transport chain and metabolism. There is a down regulation in catalase (HMPREF1120_07713) and superoxide dismutase (HMPREF1120_05007,) which are enzymes involved in response to oxidative stress [54] but they are downregulated in the adapted strains across all conditions. This suggest that it is part of the adaptive process, but not involved in the mechanisms involved in improved fitness and ROS resistance observed under subsequent exposure to radiation.
Table 6

Gene Ontology categories (Biological process) that were determined to be significantly enriched (FDR < 0.01) among the genes that were differentially expressed (FDR < 0.05) between naïve and adapted strains under each condition, as determined using FungiFun.

GO term classification (Biological Process)Adjusted p-value# genes/category# genes/input
Down in WTA-C vs WTN-Coxidation–reduction process4.60e-18165/832165/811
metabolic process1.76e-09183/1175183/811
transmembrane transport1.14e-0477/45977/811
Up in WTA-C vs WTN-Ctranslation1.26e-2062/15062/834
glycolytic process3.27e-0410/1810/834
cellular amino acid biosynthetic process6.18e-0412/2712/834
Down in WTA-O vs WTN-Ooxidation–reduction process7.66e-11119/832119/613
transmembrane transport2.74e-0461/45961/613
microtubule-based movement3.87e-036/136/613
catechol-containing compound metabolic process7.09e-033/33/613
Up in WTA-O vs WTN-Otranslation5.83e-3676/15076/795
ATP synthesis coupled proton transport1.13e-038/148/795
glycolytic process1.18e-039/189/795
Down in WTA-R vs WTN-ROxidation-reduction process1.88e-20179/832179/860
metabolic process2.35e-08189/1175189/860
Up in WTA-R vs WTN-RDNA replication initiation2.39e-036/86/853
DNA replication5.30e-0314/4414/853
formation of translation preinitiation complex5.30e-037/137/853
regulation of translational initiation5.30e-037/137/853
ribosome biogenesis9.27e-0310/2710/853
Gene Ontology categories (Biological process) that were determined to be significantly enriched (FDR < 0.01) among the genes that were differentially expressed (FDR < 0.05) between naïve and adapted strains under each condition, as determined using FungiFun. Transmembrane transport and the general category of “metabolic process” were also downregulated in two out of the three gene sets. These are relatively vague functional classes, but overall, they suggest a suppression down of several primary metabolic and redox reactions in the adapted strains. The patterns observed in the upregulated group were easier to interpret. For example, functions related to translation were enriched in all three sets. This suggests an increase in protein production, which was, interestingly, also observed when E. dermatitidis was grown in the presence of low dose γ-radiation [41]. Another interesting observation is the enrichment of genes involved in DNA replication in the adapted cells exposed to 210Po, a pattern which was even clearer when only the genes unique to this condition were analyzed (Fig. 5). In this case, not only DNA replication but DNA recombination was enriched, as well as the obsolete ATP catabolic processes, which upon review included 27 genes, including 13 helicases, 2 DNA topoisomerases, and an elongation factor (EF-3), many of which are involved in RNA remodeling, DNA repair, [21], [2], [15], [3]. Overall, there were many genes that were unique between the WTR and the AR set compared to the two other conditions (Supporting Tables 5–7). This points to both the possible presence of DNA damage even under these low dose conditions as well as the ability of the adapted strain to respond more quickly and robustly to such damage. Genes uniquely upregulated in the adapted strain in response to irradiation included several DNA helicases, DNA ligase, and the DNA repair proteins rad52, ERCC-6, rhp54, rad9, uvsE, among others, while downregulated genes, which showed a greater magnitude of regulation, included transporters (10 major facilitator superfamily proteins), but mostly included proteins with only general predictions, suggesting that this regulatory response was subtle and complex, and involved in several biosynthetic pathways (e.g. biotin and glycogen synthesis, Supporting Tables 5 and 7). In all, although we did not observe large responses to exposure to oxidative stress or irradiation, we did observe a strong and consistent change in one lineage of E. dermatitidis that was adapted to long-term radionuclide presence, and we observed evidence that this adaptation process allowed for this strain to become more responsive to future ionizing radiation exposure.

Adaption in E. dermatitidis

The purpose of the study was to identify the underlying genomic and transcriptomic events that are the result of radioadaptation in E. dermatitidis cultures and to further understand how those changes impact the fungal response to subsequent radiation exposure. These changes, we believe, would allow us to identify and understand the adaptation that is taking place. Ionizing radiation induces the production of free radicals, including reactive oxygen and nitrogen species. Our previous data demonstrated that radioadapted cells presented similar biological responses to both subsequent H2O2 and ionizing radiation exposure, so we could not determine whether adapted strains could distinguish these stresses [30]. In our previous work we assessed response of the adapted strains to strontium-90 (beta) and cesium-137 (gamma) [30]. We found that while there was a stimulation of growth with a gamma emitter in the naïve strain, the adapted strain showed no enhanced growth. Neither the naïve nor the adapted strain showed enhanced growth with a beta source. Here, what we observed was enhanced colony growth in our melanized adapted strain (Fig. 1) only when using 210Po, an alpha-particle emitter. Relative to gamma and beta radiation, alpha particles have with a high linear energy transfer (LET) and are capable of generating more ROS through radiolysis when interacting with the growth media that the fungus would be plated on [22]. This is why alpha radiation is densely-ionizing, while gamma and beta radiation are sparsely-ionizing. We did not observe any enhanced growth response when these strains were grown near radioactive sources with lower LET, so we hypothesized that the difference in biological response could be due to enhanced resistance to the toxic effects of the ROS generated by the alpha particles. This hypothesis seemed plausible, as our melanized adapted strain presented enhanced resistance to H2O2. Our initial analysis using whole genome sequencing was completed to compare the naïve and adapted strains of the melanized wildtype and albino wdpks1 mutants (Table 1). There was not a significant difference in the number or type of mutations when comparing the adapted strains of the WTA to the pksA mutants (Table 3, Table 4, Table 5) which indicates the phenotypic changes observed in the melanized adapted strain were not genomic in nature. In fact, only 4 mutations were observed in the one of the strains that presented an altered transcriptomic signature (Table 5). The transcriptomic analysis, unsurprisingly, provided us with more information to explore. With this data, we were able to make two major conclusions. First, we observed that the stresses that we challenged these strains with (210Po and H2O2) did not dramatically affect the transcriptome, at least at the time point that we characterized (1 week). This suggests that E. dermatitidis can return its transcriptome to a steady state after an extended period under a moderate stress. Second, we identified two lineages with varied transcriptomic signatures in the radioadapted, melanized E. dermatitidis strain. One lineage aligned with the naïve strain (Fig. 2, Fig. 3), while the other presented a unique signature. It is not surprising that we observed different lineages within the adapted strain, as adaptation was performed on a pool of stationary phase cells where individual cells would have gone through radiation and age-related mutagenesis, which would have resulted in some variance [18], [42]. We then focused on the lineage that showed a distinct expression pattern, which provided us with several interesting results. First, we observed a general upregulation of translation genes, which could suggest that the adapted strains enhance their protein synthesis machinery for resilience to environmental stresses, such as ionizing radiation and ROS. We previously observed a similar expression pattern upon low dose gamma irradiation in wildtype E. dermatitidis [41] while in response to acute, high dose gamma irradiation we see the opposite pattern – ribosomal genes being strongly downregulated [45]. Ribosomal biosynthesis is tightly associated with growth rate, so the upregulation of this set of genes may be a mark of the apparent increase in growth rate we observe in the adapted strains [53]. The enrichment of genes involved in glycolysis (glycolytic process) among the upregulated transcripts in the adapted strains may also be indicative of faster growth. On the other hand, several genes in the GO categories of oxidation–reduction processes and metabolic processes were significantly downregulated. We consider this to signify two potential situations. First, because these enzymes were generally involved in a wide variety of diverse and vague metabolic pathways, it is possible that their downregulation is due to an overall streamlining of the cell toward protein synthesis. Second, these changes could indicate an overall global change in the redox balance of the cell, which is to be expected in strains adapted to high ROS environments such as chronic irradiation. Electron transport and metabolism, in fact, themselves are a source of ROS [17], [54] so a down regulation in these processes could reduce the internal production of ROS, and thereby position the fungi to withstand a more robust external load of ROS. Respiration in fungi is not a linear process but is in fact significantly branched, with numerous alternative enzymes [17]. The more substantial response in downregulation of more of these enzymes in the 210Po conditions (Fig. 5B) thereby reducing the redundancy in the metabolic processes and could be a unique response to the 210Po conditions to further reduce the internal ROS load. Finally, by comparing the pairwise analysis of wild type and adapted strains responding to each condition, another subset of genes, specifically upregulated in response to 210Po exposure was revealed. These included genes traditionally associated with ionizing radiation damage, including those involved in DNA replication and recombination. This finding is interesting considering the extensive literature on “inducible repair” in fungi, where cells recovering from an initial exposure to ionizing radiation are more resilient to a subsequent exposure [23], [51]. This is presumably due to the cell’s ability to mount and therefore more efficiently respond to the second round of damage, but this phenomenon has not generally been characterized at the transcriptomic level. It is also particularly interesting because this response is distinct from the response to H2O2, suggesting that the cellular responses to general oxidative stress do not necessarily overlap with the response to ionizing radiation exposure. It will be interesting, at this juncture, to understand whether these changes result in increased resistance to acute ionizing radiation or other DNA damage [52] as it is still controversial whether the inducible repair response is mediated at the transcript or protein level, and most experiments on inducible repair do not initiate with exposure to the low doses that were used with these adapted strains. In our previous work melanized E. dermatitidis presented an altered biological response following the adaptation process in the face of subsequent radiation and ROS exposures while the non-melanized strain did not [30]. This observation led us to hypothesize that we would observe a robust transcriptomic response under these same conditions in the melanin biosynthetic pathway, represented by the polyketide synthase (PKS) gene (HMPREP1120_03173). Analysis of the transcriptome of the adapted strains showed a slight down regulation of the PKS gene under all conditions when compared to the naïve strain (Supporting Table 4) with log2fold change values ranging from −0.49 to −0.63. While melanin plays an essential role in the phenotypic response of adapted E. dermatitidis, transcriptomic regulation of the biosynthesis of the pigment does not appear to be substantially altered by the adaption process. We also looked at alterations in carotenoid genes (HMPREF1120_03263, HMPREF1120_02864), which are known for their antioxidant and photoprotective properties [26], [40] and found no substantial changes (Supporting Table 4) due to the adaptation process in these genes.

Conclusion

In conclusion, we observed several things when completing a genomic and transcriptomic study on E. Dermatitidis strains adapted to 225Ac exposure. First, the adaptation response appeared to be mediated at the transcriptomic level, as the adaptation process resulted in very few, and likely insubstantial genetic mutations. This also supports the extremely stable genome in the face of protracted exposure to ionizing radiation. Second, we found that even a low dose of radiation with a high LET in the environment, or ROS in the form of H2O2, elicited a transcriptomic response that in general resulted in down regulation of metabolic transcripts and an up regulation in translation in the adapted versus naïve melanized E. dermatitidis. Downregulation of metabolic processes in general would reduce the internal ROS load, thereby positioning the adapted fungi to better respond to an external load of ROS, while an upregulation of translation would prime the fungi for growth. Finally, we noted, that despite a similar number of up/down regulated transcripts, the adapted cultures, when exposed to radiation in their environment, presented a unique transcriptomic profile, whereas the transcriptomic profile of the culture exposed to ROS significantly overlapped with the control culture. While several of the differentially regulated processes where similar between the conditions, the scale of transcripts that were unique to the 210Po condition suggests a more robust response. Also unique to this condition was a general upregulation of DNA replication and repair enzymes, suggesting that previous exposure to radiation positions the adapted strain to better respond to damage caused by an alpha-particle emitting source in its environment. From this we can conclude that the adaptation process resulted in an altered transcriptomic response from fungus grown in the same conditions without radiation, and that this previous exposure altered how this fungus responded to subsequent interactions, even indirect.

Funding information

The work was funded by the Defense Threat Reduction Agency grant HDTRA-17-1-0020.

CRediT authorship contribution statement

Mackenzie E. Malo: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing - original draft, Writing - review & editing. Zachary Schultzhaus: Data curation, Formal analysis, Writing - original draft, Writing - review & editing. Connor Frank: Investigation. Jillian Romsdahl: Data curation, Formal analysis, Writing - original draft, Writing - review & editing. Zheng Wang: Funding acquisition, Supervision, Writing - review & editing. Ekaterina Dadachova: Funding acquisition, Project administration, Resources, Supervision, Writing - review & editing.
  3 in total

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Authors:  Adriana Blachowicz; Jillian Romsdahl; Abby J Chiang; Sawyer Masonjones; Markus Kalkum; Jason E Stajich; Tamas Torok; Clay C C Wang; Kasthuri Venkateswaran
Journal:  Front Microbiol       Date:  2022-06-30       Impact factor: 6.064

Review 2.  Fungal Genomics in Respiratory Medicine: What, How and When?

Authors:  Amelie P Brackin; Sam J Hemmings; Matthew C Fisher; Johanna Rhodes
Journal:  Mycopathologia       Date:  2021-09-07       Impact factor: 2.574

3.  Phenotypic Characterization and Comparative Genomics of the Melanin-Producing Yeast Exophiala lecanii-corni Reveals a Distinct Stress Tolerance Profile and Reduced Ribosomal Genetic Content.

Authors:  Jillian Romsdahl; Zachary Schultzhaus; Christina A Cuomo; Hong Dong; Hashanthi Abeyratne-Perera; W Judson Hervey; Zheng Wang
Journal:  J Fungi (Basel)       Date:  2021-12-15
  3 in total

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