Contamination of crops with aflatoxin is a serious global threat to food safety. Aflatoxin production by Aspergillus flavus is exacerbated by drought stress in the field and by oxidative stress in vitro. We examined transcriptomes of three toxigenic and three atoxigenic isolates of A. flavus in aflatoxin conducive and non-conducive media with varying levels of H2O2 to investigate the relationship of secondary metabolite production, carbon source, and oxidative stress. We found that toxigenic and atoxigenic isolates employ distinct mechanisms to remediate oxidative damage, and that carbon source affected the isolates’ expression profiles. Iron metabolism, monooxygenases, and secondary metabolism appeared to participate in isolate oxidative responses. The results suggest that aflatoxin and aflatrem biosynthesis may remediate oxidative stress by consuming excess oxygen and that kojic acid production may limit iron-mediated, non-enzymatic generation of reactive oxygen species. Together, secondary metabolite production may enhance A. flavus stress tolerance, and may be reduced by enhancing host plant tissue antioxidant capacity though genetic improvement by breeding selection.
Maize and peanut are staple food crops throughout the world with 1.02 billion and 45.65 million metric tons of production, respectively, in 20131. These crops are particularly important in developing countries in Africa and Asia where aflatoxin contamination is most severe2,3. Contamination of maize and peanut with aflatoxins, the carcinogenic secondary metabolites of Aspergillus flavus, poses a global threat to food safety and security. Long term exposure to aflatoxin through contaminated foodstuffs has been associated with a myriad of hepatic diseases including cirrhosis, hepatitis, and hepatocellular carcinoma along with birth defects, immune deficiencies, and acute toxicity4,5.
Given the importance of aflatoxin contamination remediation, extensive research has been performed since the 1970’s to enhance host plant resistance6,7,8. However, a lack of diverse, resistant germplasm for aflatoxin contamination along with a high degree of environmental and genotype × environmental interaction influences on resistance has posed difficulties in breeding programs9,10,11. Environmental stresses including drought and heat stress can exacerbate aflatoxin contamination in maize and peanut12,13. This increase in aflatoxin contamination under drought stress in particular has motivated numerous research efforts endeavoring to address why A. flavus and other Aspergilli produce aflatoxin in stressed environments.
Over the last decade, several studies have elucidated the biosynthetic pathway for aflatoxin production and have begun to characterize upstream factors regulating its expression14,15,16. Aflatoxin biosynthesis is carried out by a 25 gene-cluster that is highly conserved among toxigenic isolates of A. flavus16. The production of aflatoxin has been shown to be regulated through several means, although the practical role of aflatoxin and various other secondary metabolites in A. flavus biology and/or its interactions with other organisms including plant host-pathogen interactions is still not clear. Reactive oxygen species (ROS) and their reactive products including peroxidized lipids have been shown to induce and to be required for aflatoxin production17. Aflatoxin production has also been demonstrated to be under the regulation of oxidative stress-responsive signaling mediated by transcription factors such as AtfB, AP-1, and VeA17,18,19,20,21. Given that drought stress results in the accumulation of ROS and peroxidized lipids in host plant tissues, it is hypothesized that these compounds may exacerbate the production of aflatoxin during fungal colonization of stressed host tissues22,23,24,25. This correlation between ROS and aflatoxin production has also led to the hypothesis that aflatoxin production may function in the remediation of oxidative stress8,17,21,26,27,28.
In addition to ROS, carbohydrate availability and metabolism have also been shown to influence aflatoxin production. Earlier studies by Davis and Diener29 demonstrated the requirement of hexose sugars for the production of aflatoxins in vitro with compounds occurring later in carbohydrate metabolism (e.g. the tricarboxylic acid, TCA, cycle) being unable to support aflatoxin production. The close association of a simple sugar metabolic gene cluster with the aflatoxin biosynthetic gene cluster has also been demonstrated in A. parasiticus, though a similar association was not observed in all Aspergillus spp16,30. In A. flavus isolates, supplementing culture media with alternative carbon sources such as peptone results in reduced or inhibited aflatoxin production31,32. The modulation of aflatoxin production through cultural methods including carbon source variation and ROS amendment has shown that isolates that produce aflatoxin tend to exhibit greater tolerance to oxidative stress, and that the reduction of aflatoxin production can adversely affect said tolerance18,28.
In order to better understand the regulation of aflatoxin production in response to carbohydrate availability and oxidative stress, and to investigate the possible role of aflatoxin production in stress responses, a global gene expression approach is needed. In this study, we examined the transcriptomes of toxigenic and atoxigenic isolates of A. flavus and their responses to increasing levels of oxidative stress and altered carbon source availability in culture medium. Understanding the molecular mechanisms linking stress responsive signaling and aflatoxin production pathways could provide insights into the practical role of aflatoxin production and considerations for enhancing host resistance for aflatoxin contamination.
To examine the transcriptomic responses of toxigenic and atoxigenic isolates of A. flavus to increasing levels of oxidative stress in aflatoxin production conducive and non-conducive media, we cultured three toxigenic (AF13, NRRL3357, and Tox4) and three atoxigenic (AF36, Aflaguard, and K54A) in either YES or YEP medium amended with different concentrations of H2O2 for RNA sequencing (Supplementary Table 1). In total, ~4.7 billion reads were generated from 64 libraries with an average of 73 million reads per library. Two of the 64 libraries sequenced contained low read counts and were excluded from the analysis. Following quality check, an average of 9 to 10% of the reads were removed, which were further filtered for rRNA contamination prior to mapping. Following quality filtration, 2.5 billion quality filtered reads with an average of 40.3 million reads per sample were obtained of which 92.27% were mapped to the A. flavus genome. The raw and processed RNA sequencing data can be accessed at http://ceg.icrisat.org/gt-bt/alfavus_1/home.asp.
Of the 13,487 genes present in the A. flavus NRRL3357 genome, the gene expression data analysis showed that a total of 11,144 genes (82.63% of the reference) were identified in the dataset (Supplementary Data 1). Of those detected, 9,158 genes (82.18%) were found to possess an FPKM ≥ 2 in at least one isolate-treatment combination. Among these expressed genes, 319 genes (3.48%) and 470 genes (5.13%) were expressed uniquely in the toxigenic and atoxigenic isolates, respectively. Also, 529 genes (5.78%) were expressed only in the conducive YES medium while 460 genes (5.02%) were expressed only in the non-conducive YEP medium (Fig. 1, Supplementary Data 2). In total, 7,394 genes (80.74%) were expressed in both toxigenic and atoxigenic isolates when cultured in either medium (Fig. 1, Supplementary Data 2).
Toxigenic isolate responses to oxidative stress are related to their ability to produce aflatoxin
On examining the level of oxidative tolerance of these isolates, our previous studies found that isolates with greater levels of aflatoxin production tend to tolerate greater levels of oxidative stress32. In order to examine the transcriptional responses of the toxigenic isolates to oxidative stress we identified the significantly differentially expressed genes in the isolates in YES medium in response to increasing levels of oxidative stress. Toxigenic isolates which produce greater levels of aflatoxin were found to exhibit fewer differentially expressed genes in response to stress than those which produced less aflatoxin (Table 1). For the transcripts observed to be differentially expressed in the toxigenic isolates, those involved in membrane transport, carbon metabolism, stress signaling, antioxidant mechanisms, and secondary metabolite production were enriched (Supplementary Data 3). Comparing high and moderate aflatoxin producing isolate GO enrichments also indicates that the high toxin producing isolates, Tox4 and AF13, exhibit similar responses at higher levels of stress as those employed by the moderate producing NRRL3357 isolate under less stress (Supplementary Data 3).
As expected, transcripts encoding components of the aflatoxin biosynthetic pathway were found to be up-regulated in response to increasing stress. These included nor-1, verB, ver-1, omtA, and omtB along with more cryptic members of the aflatoxin biosynthetic gene cluster whose role(s) in aflatoxin production have yet to be identified including aflS and aflV (Fig. 2A)16. In addition to these, transcripts encoding the production of additional secondary metabolites were differentially expressed in response to increasing stress. Transcripts encoding members of the isoprenoid biosynthetic pathway, which forms the basis for the production of the tremorogenic mycotoxin aflatrem33, were also found to be up-regulated in the isolates in a similar manner observed for aflatoxin biosynthetic genes. The aflatrem biosynthetic components atmB, atmC, atmD, atmG, atmM, atmP, and atmQ34 were expressed in all the toxigenic isolates in YES medium (Fig. 2B). The atmG gene, encoding a putative geranylgeranyl pyrophosphate synthetase (GGPS), was consistently expressed in both the toxigenic and atoxigenic isolates regardless of H2O2 concentration or culture medium (Fig. 2B). Also, a synaptic vesicle transporter SVOP transcript, which has been shown to be involved in kojic acid biosynthesis35, was found to be upregulated in NRRL3357 at 10 mM H2O2 in YES while it was down-regulated in the more virulent Tox4 and AF13 isolates at 25 mM H2O2 (Fig. 2C). Other kojic acid biosynthetic genes including kojA, kojR, and kojT35 were stably expressed in all the toxigenic isolates regardless of treatment with H2O2 or culture medium (Fig. 2C). Numerical FPKM data for that appearing in Fig. 2 can be found in Supplementary Table 2.
Toxigenic and atoxigenic isolates exhibit similar yet distinct responses to oxidative stress
In comparison to the toxigenic isolates, the atoxigenic isolates exhibited distinct responses to oxidative stress, though there were some similarities. Among the atoxigenic isolates, those which are used as biological controls, Aflaguard and AF36, were previously found to tolerate higher levels of oxidative stress than non-adapted isolates including K54A32. In the present study, these biological control isolates exhibited fewer DEGs in comparison to K54A (Table 1). In addition, the atoxigenic isolates, which generally tolerated lower levels of oxidative stress than the toxigenic isolates in the previous study32, tended to exhibit greater numbers of significant DEGs than the toxigenic isolates, particularly at higher levels of stress (Table 1).
As in the toxigenic isolates, transcripts observed to be differentially expressed in the atoxigenic isolates included those involved in membrane transport, carbon metabolism, stress signaling, and antioxidant mechanisms (Supplementary Data 3). As expected, transcripts encoding components of the aflatoxin biosynthetic pathway were either not significantly regulated, or not expressed in the atoxigenic isolates (Fig. 2A) depending on the mutation in the aflatoxin gene cluster present in each isolate36,37. Aflatrem biosynthetic genes were also found to be expressed in Aflaguard and AF36, but not in K54A while kojic acid biosynthesis genes were expressed in all of the atoxigenic isolates in YES medium (Fig. 2).
Transcripts encoding chitin metabolic processes were down-regulated in response to increasing stress in the toxigenic isolates including those for chitinase and chitosanase (Supplementary Data 3). These same transcripts tended to be up-regulated in the atoxigenic isolates (Supplementary Data 3). Also, transcripts encoding antioxidant enzymes including thioredoxin peroxidase and thioredoxin reductase also tended to be upregulated in response to increasing stress in both the toxigenic and atoxigenic isolates (Supplementary Data 3). Cytochrome p450 monooxygenase genes, in addition to those expressed in the aflatoxin and aflatrem biosynthetic pathways, were also upregulated in both the toxigenic and atoxigenic isolates in response to increasing stress (Supplementary Data 3). Transcripts encoding products involved in aminobenzoate degradation were shown to be generally up-regulated in the toxigenic and atoxigenic isolates under increasing levels of stress (Supplementary Data 3). An exception to this was Tox4 which showed a significant down-regulation in an amidohydrolase family protein-encoding transcript (AFLA_076800) (Supplementary Data 3). Also, transcripts encoding antibiosis and drug resistance proteins such as major facilitator superfamily (MFS) transporters and multidrug resistance proteins were up-regulated in the toxigenic isolates with increasing stress (Supplementary Data 3 and 4). In the atoxigenic isolates, transcripts encoding products capable of functioning in both antibiotic biosynthesis and additional pathways such as carbon metabolism and proteolysis were differentially expressed in response to increasing stress.
Medium carbon source affects secondary metabolite gene expression and production
Culturing the toxigenic and atoxigenic isolates in media with different carbon sources, sucrose or peptone, significantly altered the expression profiles of the isolates in response to increased levels of oxidative stress resulting in a clear segregation of expression patterns by carbon source (Fig. 3; Supplementary Figure 1).As expected, culturing the toxigenic isolates in YEP medium resulted in low or no expression of several genes involved in aflatoxin and aflatrem biosynthesis (Figs. 2 and 4). Exceptions to this included members of the sugar cluster (e.g. aflYc and aflYd) aflatoxin transporters (aflT), regulators of aflatoxin production (e.g. aflR and VeA), and the geranylgeranyl pyrophosphate synthetase gene (atmG) which functions upstream of aflatrem biosynthesis in the terpenoid biosynthetic pathway16,34,38,39. The expression of the kojic acid SVOP transporter was higher in YEP than in YES in both the toxigenic and atoxigenic isolates Aflaguard and AF36. The expression of this gene was higher in YES than YEP in K54A (Fig. 2C). With this, the expression of metalloproteinases was down-regulated while siderophore biosynthesis genes were up-regulated in some isolates indicating possible iron deficiencies (Supplementary Data 4). The production of aflatoxin and kojic acid also corresponded to observed expression of their corresponding biosynthetic genes. Aflatoxin was found to be produced by toxigenic isolates only in YES (Fig. 5A) while kojic acid was produced in both YES and YEP (Fig. 5B). Interestingly, kojic acid was produced at a higher level in YEP compared to YES (Fig. 5B), and was found to be further stimulated by the addition of H2O2 in solid culture medium (Fig. 5C).
Medium carbon source also affects antioxidant and energy metabolism responses
Culturing toxigenic and atoxigenic isolates in YES and YEP media resulted in the upregulation of transcripts encoding antioxidant enzymes including thioredoxin peroxidase, thioredoxin reductase, and components of glutathione metabolism (Supplementary Data 4). Cytochrome p450 monooxygenase genes were also upregulated in response to increasing stress in both the toxigenic and atoxigenic isolates in YEP. Transcripts encoding products involved in proteolysis and gluconeogenesis were also more prevalent with increasing stress in YEP. Chitin catabolic genes were also found to be up-regulated with increasing stress in YEP, particularly in isolates with less oxidative tolerance including NRRL3357, Aflaguard, AF36, and K54A (Supplementary Data 4). In addition, the upregulation of autophagy prevention genes such as atg22 were observed in NRRL3357 in YEP medium (Supplementary Data 1 and 4)40,41. In addition, class 3 lipase expression was generally down-regulated in YEP in response to increasing stress, particularly at the highest examined concentrations of H2O2 relative to the control (Supplementary Data 4). A similar decrease was also observed in K54A in YES (Supplementary Data 3).
Expression of upstream regulators of oxidative stress responses and carbon utilization
In addition to annotated pathway components as previously described, we also examined the expression of several upstream regulators of secondary metabolite production and oxidative stress responses described in the literature. The expression of bZIP transcription factors such as atf21 and atfA, which have been shown to regulate aflatoxin production in response to oxidative stress in vitro during earlier periods in fungal growth20, were not significantly regulated in either YES or YEP media in the toxigenic isolates with increasing stress. They were, however, constitutively expressed at an elevated level in all isolates and treatments (Supplementary Data 5).
Several Cis2His2 (C2H2) transcription factors were also found to be expressed in the isolates with some previously uncharacterized members such as AFLA_078920 exhibiting higher expression in YES than YEP (Supplementary Data 5). Additional C2H2 transcription factors such as creA (AFLA_134680 and AFLA_134690) and brlA (AFLA_082850 and AFLA_082860) were also stably expressed during stress (Supplementary Data 5). In addition to these transcription factors, a mitogen activated protein kinase kinase kinase (MAPKKK), bck1, was found to be upregulated in response to increasing levels of oxidative stress (Supplementary Data 5). This MAPKK has been shown to function in coordination with Mkk2 and MpkA42, both of which were stably expressed across all isolates and treatments in the study (Supplementary Data 5).
Previously, we observed that the aflatoxin production capabilities of A. flavus isolates were correlated with the levels of H2O2 stress individual isolates could tolerate or survive32. Here, we found a related trend with isolates with higher stress tolerance and aflatoxin production exhibiting fewer significant DEGs than atoxigenic, less tolerant isolates in both YES and YEP (Table 1). This may be due to the developmental stage of the tolerant isolates which after seven days in control cultures would exhibit stationary growth patterns19. The case for this is bolstered by the observation that other less tolerant isolates generally exhibited up-regulation in aminobenzoate degradation transcripts. These aminobenzoate compounds have been found to reduce both aflatoxin production and mycelial growth43. This may imply that more tolerant isolates may possess more rapid and intense responses to stress than the other isolates, and that the cause of this may be related to fungal development (Table 1). Isolate developmental stage may also explain the lack of significant differences in bZIP transcription factor expression observed in this study (Supplementary Data 5). Previously published experiments have mostly examined these genes’ expression and function following approximately 72 hours of fungal growth20.
In addition to developmental differences, the ability to produce secondary metabolites and antioxidant enzymes, to maintain cell wall integrity, to regulate primary metabolism to meet energetic requirements under stress, and to recycle damaged cellular components were all integral components of the responses of both the toxigenic and atoxigenic isolates (Fig. 6). Cell wall integrity was maintained primarily through the down-regulation of chitinases and chitosanases, although these were found to be up-regulated in YEP under increasing stress indicating a possible reallocation of cellular resources to primary metabolism possibly due to carbon starvation44,45,46. This reallocation of resources may also be due to the limited availability of free glucose and carbon catabolite repression in response to upstream regulation by the C2H2 transcription factors creA and brlA (Supplementary Data 5) which have been shown to influence the expression of extracellular chitinases in response to carbon starvation40,47,48,49,50,51. In addition, membrane integrity may also be of concern due to the observed regulation of lipase-encoding transcripts in YEP at higher levels of stress (Supplementary Data 4). Their product, a class 3 lipase, breaks down the ester linkages in membrane lipids51. A reduction in lipase activity may also reduce the formation of lipoperoxides through the reaction of free fatty acids with ROS51.
The catabolism of amino acid components of peptone in the YEP medium would fuel the generation of TCA cycle intermediates such as succinate and fumarate with some being utilized to form acetyl-CoA, the major building block of polyketide and terpenoid mycotoxins such as aflatoxin and aflatrem16,34. Previous experiments have shown that aflatoxin production was limited or non-existent in YEP, and that supplementation of peptone medium with TCA intermediates would not restore aflatoxin production52. However, several monosaccharides such as glucose and fructose have been found to be conducive carbon sources for aflatoxin production31. This allows for the possibility that the lack of aflatoxin production observed in YEP (Fig. 5A) may be due to limitations in acetyl or malonyl-CoA availably because of their being directed into primary energy production rather than mycotoxin biosynthesis. Further experimentation will be required to confirm this hypothesis.
In the conducive YES medium, aflatoxin production has been shown to be stimulated by increasing oxidative stress (Fig. 5). Previous studies have also shown that oxidative stress also plays a role as it is required for the initiation of aflatoxin production in A. flavus and related species such as A. parasiticus17. Given the close association of increasing levels of ROS and antioxidant enzyme expression with aflatoxin production, several previous studies have proposed that the production of aflatoxin may function as a supplemental source of antioxidant protection for A. flavus and other Aspergilli against oxidative stress21,27. Increased oxygen consumption and subsequent production of ROS during aflatoxin production in toxigenic isolates has also been demonstrated along with the localization of secondary ROS production to aflatoxisomes inside the fungal cells26,28. In a recent study, Roze et al.28 found that this burst in ROS production likely from cytochrome p450 monooxygenase and oxidase activities in aflatoxin biosynthesis may contribute to enhancing oxidative tolerance in conidia. The prevalence of cytochrome p450 genes in both aflatoxin and aflatrem biosynthesis suggests that it is possible similar oxygen consumption and ROS production occurs in both systems (Fig. 4)34,53. It is also possible that this secondary burst of ROS production may prime expression of antioxidant genes, and that these cytochrome p450 monooxygenase and oxidase enzymes may consume excess oxygen produced by detoxifying enzymes (e.g. CAT, SOD, thioredoxin, etc.) while breaking down ROS, fixing it into aflatoxin and aflatrem which are then secreted from the fungal cells. Therefore, aflatrem biosynthesis may function to enhance oxidative stress tolerance. Further study will be required to better understand the precise biochemical role of aflatoxin and aflatrem in the biology of A. flavus and its interactions with host organisms.
In addition to aflatoxin and aflatrem, kojic acid biosynthetic transcripts were also differentially expressed. Kojic acid has been previously described as an antioxidant and is thought to chelate free Fe cations to limit non-enzymatic ROS formation (e.g. Fenton reactions) or through direct reactions with ROS54,55. Excessive production of kojic acid may result in possible iron deficiencies which may be occurring here given the regulation of both the bck1/mkk2/mpkA signaling pathway and siderophore biosynthetic genes in the isolates (Supplementary Data 4 and 5)42,56,57. With the absence of aflatoxin production in atoxigenic isolates and in YEP, it is possible that kojic acid production may supplement the loss of aflatoxin production-derived stress tolerance. Also, the lack of aflatoxin production and aflatrem biosynthesis gene expression, and the reduced levels of kojic acid produced in solid media assays (Fig. 5C) may partially explain the reduced oxidative stress tolerance of the K54A isolate in comparison to the other examined isolates (Table 1).
Multidrug resistance genes and MFS transporters were also expressed both the toxigenic and atoxigenic isolates which function to enhance fungal tolerance to antibiotic compounds38,58. In the biological control isolates Aflaguard and AF36, several transcripts regulated in response to oxidative stress may function in antibiotic biosynthesis (Supplementary Data 3 and 4). Together, this indicates oxidative stress may stimulate mechanisms used by the isolates in competition with other organisms both in the host plant and in the soil, and highlights the possibility for the use of ROS in the study biological control competitiveness and drug discovery through the expression of cryptic pathways under oxidative stress59.
The connection between oxidative stress and A. flavus secondary metabolite production also has implications for improving host plant resistance to aflatoxin contamination. Recent studies have shown that drought sensitive maize lines which have been previously demonstrated to be susceptible to aflatoxin contamination accumulate higher levels of ROS in their leaf and kernel tissues24,25. Given the previously mentioned correlation between drought stress and aflatoxin contamination13, it is possible that these ROS or their reactive byproducts (e.g. H2O2 and peroxidized lipids) may function in signaling between A. flavus and susceptible plants resulting in exacerbated aflatoxin production during infection8,21,22,24,25. By enhancing the resistance of host tissues to oxidative damage through biomarker and drought tolerance selection in breeding programs, it may be possible to enhance plant resistance to pre-harvest aflatoxin contamination18 and needs to be addressed further.
Transcriptomic analyses of toxigenic and atoxigenic isolates of A. flavus and their responses to H2O2-derived oxidative stress in aflatoxin conducive and non-conducive media revealed that aflatoxin and aflatrem biosynthetic gene expression coincides with the up-regulation of monooxygenase genes. This suggests that the fixation of excess oxygen into these mycotoxins prior to their secretion may provide a degree of oxidative tolerance in A. flavus. In addition, kojic acid production was also found to correlate with previously observed isolate tolerance to oxidative stress and may convey additional antioxidant protection in the absence of aflatoxin or aflatrem production by iron chelation. Toxigenic and atoxigenic isolates of A. flavus were found to employ similar mechanisms in oxidative stress responses with the exception of secondary metabolite production. Overall, the responses of the isolates focused on four major strategies in countering oxidative stress with individual variations that include cell wall maintenance and repair, enzymatic detoxification of ROS, enhancement and maintenance of primary metabolic needs, and secondary metabolite production. Together, these components work together as the basis of coordinated response to oxidative stress. This study also illustrated the potential roles of secondary metabolite production, including aflatoxin, aflatrem, and kojic acid, in antioxidant responses of A. flavus, and their connections to primary metabolism in oxidative stress responses.
Materials and Methods
The A. flavus isolates used in the present study were collected from the following sources. The NRRL3357 isolate was obtained from the Northern Regional Research Center, USDA-ARS, Peoria, IL, USA. The AF13, AF36 (NRRL18543), Aflaguard (NRRL21882), and Tox4 isolates were obtained from Dr. Kenneth Damann, Department of Plant Pathology and Crop Physiology, Louisiana State University, Baton Rouge, LA, USA. The K54A isolate was obtained from the Biological Control of Pests Research Unit, USDA-ARS, Stoneville, MS, USA. NRRL3357, AF13, and Tox4 are aflatoxigenic. Aflaguard and AF36 are atoxigenic isolates which possess a complete aflatoxin biosynthetic pathway deletion and a point mutation in the polyketide synthase gene pksA, respectively36. The K54A isolate is atoxigenic isolate which has yet to be characterized. The collected isolates were received on potato dextrose agar (PDA) and upon receipt were maintained on V8 agar (20% V8, 1% CaCO3, 3% agar).
Isolate culture conditions
Prior to the experiment, the isolates were grown on V8 agar at 32 °C for 5 days. Fresh conidia were then harvested in 0.1% (v/v) Tween 20 buffer, and this conidial suspension (~4.0 × 106 conidia/mL) was immediately used for inoculation of liquid cultures. Two liquid media were used in the study, an aflatoxin production conducive yeast extract sucrose (YES; 2% yeast extract, 1% sucrose) medium and an aflatoxin production non-conducive yeast extract peptone (YEP; 2% yeast extract, 1% peptone) medium31. The concentrations of the media components were optimized based on the findings of Davis et al.60 and our previous studies32.
Prior to inoculation, the media were supplemented with different levels of hydrogen peroxide (H2O2, 3% stabilized solution) to induce moderate and more severe oxidative stress on the isolates. The concentrations were specific to the individual isolates and were based on our previous findings on the oxidative tolerance (growth inhibiting concentration of H2O2) of the isolates32 as follows. NRRL3357 and Aflaguard were cultured in media supplemented with 0, 10, and 20 mM H2O2. AF13 and Tox4 were cultured in media supplemented with 0, 10, and 25 mM H2O2. AF36 and K54A cultured in media supplemented with 0 and 10 mM H2O2. For each culture, 50 mL of H2O2 supplemented medium was transferred to a sterile 125 mL Erlenmeyer flask, inoculated with 100 μL conidial suspension, and plugged with a sterile cotton ball. The isolates were then incubated in the dark at 32 °C for 7 days under stationary conditions. This experiment was performed twice and considered as two biological replicates.
Following incubation, mycelia were harvested from the flasks using a sterile spatula and immediately flash frozen in liquid nitrogen. The mycelia were then homogenized to a powder using a chilled mortar and pestle and stored at −80 °C until used in RNA extraction. Total RNA was then extracted using an RNeasy Plant Mini Kit with an on-column DNase digestion included during extraction according to the manufacturer’s instructions (Qiagen, Hilden, Germany). The total RNA was quantified using a Nano-Drop ND1000 spectrophotometer (Thermo Scientific, Wilmington, DE, USA), and the quality of the RNA was determined by measuring the RNA integrity numbers (RINs) for each sample using an Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA). Samples with RIN ≥ 5 were used for library preparation and RNA sequencing.
Library construction and Illumina sequencing
For library construction, 1 μg of total RNA was used for each sample with biological replicates processed separately for later statistical comparison. Altogether, 32 libraries with 2 biological repeats (total of 64 libraries) were prepared for whole transcriptome sequencing using an Illumina TruSeq RNA Sequencing Kit according to the manufacturer’s instructions (Illumina, San Diego, CA, USA). The prepared libraries were quantified using a Qubit 2.0 fluorometer (Thermo Scientific), and validated using an Agilent 2100 Bioanalyzer (Agilent). Cluster generation for these libraries was done using a cBot (Illumina), followed by 125 bp paired-end sequencing using a HiSeq 2500 platform (Illumina).
Raw sequencing reads obtained for each sample were checked for quality using FastQC v0.11.2 (http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc). The data was then filtered for low quality reads (<Q20) and adapter sequences were removed using Trimmomatic v0.3261. The remaining reads were then checked for rRNA contamination by aligning the reads to the SILVA database. Finally, using a Tuxedo protocol, the filtered, quality reads were aligned to the A. flavus NRRL3357 genome (GCF_000006275.2) using tophat2 v2.0.13 and bowtie2 v2.2.462,63. The filtered reads were assembled by Cufflinks v2.2.1 using the RABT method to estimate their abundance64,65. The relative expression between isolate-treatment combinations was calculated in terms of Fragments Per Kilobase of exon per Million fragments mapped (FPKM) using the cuffdiff program. A gene was said to be significantly differentially expressed when |log2(fold change)| ≥ 2 with an adjusted p-value ≤ 0.05. The assembled transcripts were annotated against NCBI’s non-redundant (nr) protein database using standalone blast-2.2.30+ followed by Gene Ontology (GO) and KEGG pathway analysis using Blast2GO.
Aflatoxin and kojic acid production assays
In order to validate the induction of kojic acid biosynthesis by increasing levels of H2O2, a modified method from Bentley66 was utilized. Briefly, A. flavus isolates were cultured on potato dextrose agar (PDA), PDA amended with 1 mM FeCl3, and PDA amended with 1 mM FeCl3 along with 15 mM H2O2. The presence of a bright orange coloration in the medium indicates the chelation of iron by kojic acid allowing for a qualitative comparison of kojic acid biosynthesis between the isolates.
The production of aflatoxin and kojic acid were also evaluated by thin layer chromatography according to methods used by Saruno et al.67. Briefly, liquid culture medium was collected while harvesting mycelia for RNA isolation, spotted onto a silica gel 20 thin layer chromatography (TLC) plate, and dried at room temperature. The plate was then developed in butanol-acetic acid-water (4:1:5) and dried with warm air. Aflatoxin and kojic acid present within the culture medium samples were then visualized by UV fluorescence with excitation wavelengths of 365 and 254 nm, respectively, and photographed using a Nikon Coolpix L110 digital camera (Nikon, Tokyo, Japan).
How to cite this article: Fountain, J. C. et al. Oxidative stress and carbon metabolism influence Aspergillus flavus transcriptome composition and secondary metabolite production. Sci. Rep. 6, 38747; doi: 10.1038/srep38747 (2016).
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We thank Billy Wilson, Hui Wang, Xiaohong Guo, and Xiangyun Ji for technical assistance in the laboratory. This work is partially supported by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS), the Georgia Agricultural Commodity Commission for Corn, the Georgia Peanut Commission, the Peanut Foundation, and AMCOE (Aflatoxin Mitigation Center of Excellence). This work has been also undertaken as part of the CGIAR Research Program on Grain Legumes and the USAID University Linkages Program between USDA-ARS and ICRISAT. ICRISAT is a member of CGIAR Consortium. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA.
The authors declare no competing financial interests.
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Fountain, J., Bajaj, P., Pandey, M. et al. Oxidative stress and carbon metabolism influence Aspergillus flavus transcriptome composition and secondary metabolite production. Sci Rep 6, 38747 (2016). https://doi.org/10.1038/srep38747
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