toxins Article Initial Spore Density Has an Influence on Ochratoxin A Content in Aspergillus ochraceus CGMCC 3.4412 in PDB and Its Interaction with Seeds Caiyan Li 1 , Yanmin Song 1 , Lu Xiong 1 , Kunlun Huang 1,2 and Zhihong Liang 1, * 1 2 * Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; [email protected] (C.L.); [email protected] (Y.S.); [email protected] (L.X.); [email protected] (K.H.) The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China Correspondence: [email protected]; Tel.: +86-136-6105-1184 Academic Editor: Richard A. Manderville Received: 8 June 2016; Accepted: 7 February 2017; Published: 21 April 2017 Abstract: The morphology and secondary metabolism of Aspergillus spp. are associated with initial spore density (ISD). Fatty acids (FA) are involved in the biosynthesis of aflatoxins (AF) through Aspergillus quorum sensing (QS). Here, we studied how ochratoxin A (OTA) was regulated by spore density in Aspergillus ochraceus CGMCC 3.4412. The results contribute to understanding the role of spore density in morphogenesis, OTA biosynthesis, and host–pathogen interactions. When A. ochraceus was grown in Potato Dextrose Broth (PDB) media at different spore densities (from 101 to 106 spores/mL), more OTA was produced when ISD were increased, but a higher level of ISD inhibited OTA biosynthesis. Seed infection studies showed that peanuts (Arachis hypogaea) and soybeans (Glycine max) with high FA content were more susceptible to OTA production when infected by A. ochraceus and reactive oxygen species (ROS)-induced OTA biosynthesis. These results suggested that FA was vital for OTA biosynthesis, and that oxidative stress was closely related to OTA biosynthesis in A. ochraceus. Keywords: quorum sensing; density effect; Ochratoxin A; fatty acids; oxidative stress 1. Introduction Ochratoxin A (OTA) is a mycotoxin found in a variety of agricultural commodities, which include cereal grains and dried fruits. It is produced mainly by A. ochraceus, A. carbonarius, and A. niger [1]. OTA has been shown to be carcinogenic in animals. The kidney is the main target organ [2,3]. It has been recognized as a Group 2B carcinogen by International Agency for Research on Cancer Collection Center (IARC) [4], although OTA-related carcinogenicity has not been determined conclusively to occur in humans [5,6]. Among the OTA-producing fungi, A. ochraceus is the most common in tropical regions [7], and Penicillium verrucosum predominates in temperate regions [8]. Other OTA producing strains include A. carbonarius and A. alliaceus [9,10]. The OTA biosynthetic pathway has not yet been determined in detail [11], although the process of OTA biosynthesis has been analyzed [12]. These studies show that the first steps involve the pentaketide pathway [13]. The same study indicated that chlorination was a penultimate biosynthetic step in OTA biosynthesis [14]. The modulating factors that are involved in OTA biosynthesis are still not totally clear. The genes pks, p450-B03, and p450-H11 are coregulated during OTA biosynthesis, and they are likely to be engaged in a cluster that presides over a multistep enzymatic reaction [15]. Toxins 2017, 9, 146; doi:10.3390/toxins9040146 www.mdpi.com/journal/toxins Toxins 2017, 9, 146 2 of 11 Quorum sensing (QS) is a density-dependent process that can regulate several behaviors in bacteria, such as secretion of virulence factors, biofilm formation, competence, and bioluminescence, and the proliferation and secondary metabolism of fungi are regulated by QS [16,17]. There is very little information on QS in filamentous fungi [18]. However, A. flavus reproduces in a density-dependent manner [17,19]. As the population transitions to a high cell density, the reverse phenotype is observed to have reduced sclerotia production and increased conidiation. In addition to development, secondary metabolism is also regulated in a density-dependent manner, where the pattern of aflatoxin (AF) biosynthesis mirrors that of sclerotia production: much higher production occurs at low population density [19,20]. Several molecules and genes have been found to be important in QS of A. flavus. Chief among these are oxylipins, a group of oxygenated polyunsaturated fatty acids, which are molecular signals across the fungal, plant and animal kingdoms. Fungal oxylipins originated from oleic acid (18:1), linoleic acid (18:2), and linolenic acid (18:3) after an O2 molecule is added to polyunsaturated fatty acids [21]. Lipoperoxidative signalling is essential for the regulation of mycotoxin biosynthesis, conidiogenesis, and sclerotia formation in A. nidulans, A. flavus and A. Parasiticus [15]. Oxidative stress is also regarded as a trigger of many metabolites in all organisms; previous studies showed a direct link between oxidative stress and AF formation [22]. Reactive oxygen species (ROS) can be observed when cells start to metabolize, and overproduction leads to the action of oxidative stressors that are present in the environment [23]. To eliminate the underlying serious assemblage of ROS, cells form enzymatic and nonenzymatic systems. To remove the ROS, cells require the involvement of superoxide dismutase (SOD) and catalase (CAT), which are the most important antioxidant enzymes [22]. Collectively referred to as precocious sexual inducer (PSI) factors in Aspergillus spp., oxylipins are known to regulate the balance between asexual and sexual development in Aspergillus spp. including A. flavus [24]. In this study, our objective was to do a preliminary research of quorum sensing in A. ochraceus, which included how spore densities affected morphology, OTA production, and the expression of genes that were involved in OTA biosynthesis. We found that OTA was regulated by density-dependent mechanisms, and that, after increasing the cell density (from 101 to 103 spores/mL), more OTA was produced. However, a higher concentration of ISD (from 104 to 106 spores/mL) inhibited OTA biosynthesis, which suggested that lipid modifiers have an effect on these density-dependent phenomena. Seed infection studies showed that peanuts and soybeans with high fatty acids (FA) content were more susceptible to OTA accumulation when infected by A. ochraceus and ROS-induced OTA biosynthesis. 2. Results 2.1. Spore Density-Dependent OTA Production in Potato Dextrose Broth (PDB) Media To investigate if the ISD affects development and OTA production in A. ochraceus, 101 , 102 , 103 , 105 , and 106 spores/mL were inoculated into PDB media. Increasing the spore density (from 101 to 106 spores/mL) led to the formation of different sizes of mycelial pellets. Cultures grown with low cell densities (101 , 102 , and 103 spores/mL) produced fewer, but larger mycelial pellets than using high spore densities (105 and 106 spores/mL) (Figure 1A). The phenomenon suggested that there is a link between proliferation of biomass and density in A. ochraceus. We observed an OTA production, density-dependent phenomenon. When the ISD increased progressively (from 101 to 103 spores/mL), an increasing amount of OTA was detected in PDB media after six days. OTA production reached the maximum level when cultured at the ISD of 103 spores/mL, and then OTA decreased significantly. At 104 spores/mL, OTA production was reduced significantly compared to production of 103 spores/mL (Figure 1B), which suggested inhibition of OTA production in the high-density PBD culture. Growth that is accelerated in PDB media with large ISD may result in a reduction of intracellular oxygen, and then a decrease in oxidative stress. The less oxidative 104 , Toxins 2017, 9, 146 3 of 11 2017, 9, 146 3 of 10 stressToxins finally resisted the OTA production. In addition, mycelium dry weights increased continuously 1 6 whenincreased ISD 2017, was9,continuously increased from 10 ISD to 10wasspores/mL (Figure which showed(Figure that the growth 6 spores/mL Toxins 146 3 of 10in the when increased from 1011B), to 10 1B), which high-density PDB not be inhibited. showed that theculture growthwas in the high-density PDB culture was not be inhibited. increased continuously when ISD was increased from 101 to 106 spores/mL (Figure 1B), which showed that the growth in the high-density PDB culture was not be inhibited. Figure 1. Spore density-dependent morphological transitions ochratoxin A Figure 1. Spore density-dependent phenomenon phenomenon ininmorphological transitions and and ochratoxin A (OTA) production in A. ochraceus broth (PDB) (PDB)media. media. images (OTA) production in A. ochraceusininpotato potato dextrose dextrose broth (A) (A) images showshow the the Figure 1. Sporephenomena density-dependent morphological and A density-dependent phenomena six days ofin incubation; (B) transitions mycelial growth and production OTA density-dependent afterafter sixphenomenon days of incubation; (B) mycelial growth andochratoxin OTA (OTA) production in A. ochraceus in potato dextrose broth (PDB) media. (A) images show the ◦ by A. ochraceus CGMCC 3.4412 that was in PDB on (180 a shaker (180 by A.production ochraceus CGMCC 3.4412 that was cultured in cultured PDB media on amedia shaker rpm) at rpm) 28 Catin the density-dependent phenomena after initial six days ofdensity incubation; mycelial OTA 1 1052, 103growth 4 10and 5, and 2 , 103(B) 106 The the dark six days sporeof of dark28 for°Csixindays withfor initial sporewith density (ISD) 101 , 10(ISD) , 10104 , , 10 , and, 10 106, spores/mL. production by A. ochraceus CGMCC 3.4412 that was cultured in PDB media on a shaker (180 rpm) at spores/mL. The mycelium dry weights were six days. All results were the mean ± mycelium dry weights were measured after sixmeasured days. Allafter results were the mean ± standard deviation 1, 102, 103, 104, 105, and 106 28 °C in the dark for six days with initial spore density (ISD) of 10 standard deviation (SD) of three measurements mixed from three independent samples. (SD) of three measurements mixed from three independent samples. spores/mL. The mycelium dry weights were measured after six days. All results were the mean ± standardof deviation (SD) of three measurements from three independent samples. 2.2. Influence Spore Densities on Transcript Levelsmixed of OTA Biosynthesis-Related Genes 2.2. Influence of Spore Densities on Transcript Levels of OTA Biosynthesis-Related Genes To determine how ISD affects OTA production, expression of OTA biosynthesis-related genes 2.2. Influence of Spore Densities on Transcript Levels of OTA Biosynthesis-Related Genes To determine how ISD affects OTA production, expression of OTA biosynthesis-related genes were examined by quantitative reverse transcription PCR (qRT-PCR) in mycelia that were initiated To1determine how ISD affects OTA production, expression of OTAin biosynthesis-related genes werewith examined by quantitative reverse transcription PCR (qRT-PCR) mycelia that were initiated 10 , 102, 103, 104, 105, and 106 spores/mL at 28 °C for six days. In A. ochraceus, the pks transcript 1 2 3 4 5 6 ◦ were examined by quantitative reverse transcription PCR (qRT-PCR) in mycelia that were initiated with level 10 , 10 , 10 , 10 , 10 , and 10 spores/mL at 28 C for six days. In A. ochraceus, the pks transcript 3 increased at first (Figure 2), reached a peak of 10 spores/mL, and then descended while the 1, 102, 103, 104, 105, and 106 spores/mL at 28 °C for six about days. In A.and ochraceus, the pks transcript with 10 3spores/mL levelspore increased at increased first (Figure 2), reached a peak of 103was spores/mL, then descended while the density (Figure 1B); the accumulation 2.5-fold higher at 10 3 spores/mL, and then descended 3 level increased at first (Figure 2), reached a peak of 10 while the than 4 sporethan density at 10 increased spores/mL.(Figure 1B); the accumulation was about 2.5-fold higher at 10 spores/mL 3spores/mL spore density increased (Figure 1B); the accumulation was about 2.5-fold higher at 10 4 at 10 spores/mL. than at 104spores/mL. Figure 2. High ISD repressed the expressions of OTA biosynthesis genes in A. ochraceus. qRT-PCR (quantitative reverse transcription PCR) was used to analyze expressions of OTA biosynthesis genes Figure 2. p450-b03, High ISD repressed the of OTA biosynthesis genes A. ochraceus. qRT-PCR Figure 2. High ISD repressed theexpressions expressions of 3.4412 OTA biosynthesis genes in in A.for ochraceus. (pks, p450-h11) by A. ochraceus CGMCC cultured in PDB media six days qRT-PCR with ISD (quantitative reverse transcription PCR) was used to analyze expressions of OTA biosynthesis (quantitative reverse transcription PCR) was used to analyze expressions of OTA biosynthesis genes 1 2 3 4 5 6 of 10 , 10 , 10 , 10 , 10 , and 10 spores/mL. The relative expressions were quantified by the expressiongenes (pks, p450-b03, p450-h11) by ochraceus A.are ochraceus CGMCC 3.4412 cultured in PDB media with ISDISD of (pks, level p450-b03, by Data A. CGMCC 3.4412 cultured in mediafor forsix sixdays days with of thep450-h11) Ao18s gene. the means of three separate experiments. 1, 10 2, 10 3, 1054, 105, and6106 spores/mL. The relative expressions were quantified by the expression 1 2 3 4 of 10 10 , 10 , 10 , 10 , 10 and 10 spores/mL. The relative expressions were quantified by the expression level of Ao18s the Ao18s gene. Data are themeans means ofp450-B03 three separate transcription level ofare p450-H11 andof genesexperiments. both achieved peaks at 101 spores/mL, levelThe of the gene. Data the three separate experiments. and then decreased, which did not mirror closely that of the pks gene under the same growth The transcription leveltheir of p450-H11 and p450-B03 peaks 101process spores/mL, conditions; this indicated non-involvement with genes pks in both OTAachieved biosynthesis in at this and The transcription level of p450-H11 and p450-B03 genes both achieved peaks at 101 growth spores/mL, and then decreased, which did not mirror closely that of the pks gene under the same that they have a different manner of regulation. Nevertheless, we noticed that cultures with a high and then decreased, which didtheir not mirror closely that of the genebiosynthesis under the same growth conditions; conditions; this indicated non-involvement with pks pks in OTA in this process and this indicated their non-involvement with pks in OTA biosynthesis in this process and that that they have a different manner of regulation. Nevertheless, we noticed that cultures with a they high have a different manner of regulation. Nevertheless, we noticed that cultures with a high initial density Toxins 2017, 9, 146 4 of 11 restrained the 9, expression of both p450-H11 and p450-B03 genes simultaneously. Both genes4 also Toxins 2017, 146 of 10 can be regulated during growth at different spore densities when the ISD increased gradually (from 102 density restrained expression of both p450-H11 and p450-B03 simultaneously. Both to 106initial spores/mL); pks gene the transcription behaved in a similar fashion.genes However, the highest levels 1 genes also can be regulated during growth at different spore densities when the ISD increased were observed at 10 spores/mL, where p450-H11 and p450-B03 transcript levels were 2.2- and 7.3-fold 2 to 106 spores/mL); pks gene transcription behaved in a similar fashion. However, (from10 3 spores/mL. highergradually than at 10 the highest levels were observed at 101 spores/mL, where p450-H11 and p450-B03 transcript levels 3 spores/mL. were 2.2- and 7.3-fold higher than at 10Talk 2.3. Oxylipin-Mediated Host-Fungus Cross 2.3. examined Oxylipin-Mediated Host-Fungus Talk to produce OTA in live seeds. Here, we assessed the We the capacity of A.Cross ochraceus effect of spore density on production. Surface-sterilized infected with suspensions We examined the OTA capacity of A. ochraceus to produce OTAseeds in livewere seeds. Here, we assessed the of 103effect spores/mL 106on spores/mL of A. ochraceus at the same It was evident that seeds of of spore and density OTA production. Surface-sterilized seedstime. were infected with suspensions 3 spores/mL peanuts and soybeans,and which a highofoil more susceptible to evident infection byseeds A. ochraceus of 10 106 have spores/mL A.content, ochraceuswere at the same time. It was that of peanuts andmaize(Zea soybeans, which high oil content, were more susceptible to infection by A. and compared with mays)have andawheat(Triticum) because the surface color of peanuts ochraceus compared with maize(Zea mays) andIn wheat(Triticum) the surface of peanuts soybeans change more significantly (Figure 3A). addition, OTAbecause biosynthesis was color significantly higher 3 spores/mL, and soybeans change than more in significantly In addition, OTA biosynthesispeanut was significantly in peanuts and soybeans maize and(Figure wheat3A). (Figure 3B, at 10 = 326 ng/mL; 3 spores/mL, peanut = 326 higher in peanuts and soybeans than in maize and wheat (FigureAt 3B,10 at3 10 soybean = 359 ng/mL; maize = 8 ng/mL; wheat = 11 ng/mL). spores/mL, OTA production ng/mL; soybean = 359 ng/mL; maize = 8 ng/mL; wheat = 11 ng/mL). At 103 spores/mL, OTA was much greater compared to seeds with 106 spores/mL, which suggested that OTA production production was much greater compared to seeds with 106 spores/mL, which suggested that OTA was inhibited in seeds with a high density of spores. Conidial numbers increased with increasing cell production was inhibited in seeds with a high density of spores. Conidial numbers increased with density. ISD of seeds with ISD 103 of spores/mL fewer conidia than the ISD increasing cell density. seeds with consistently 103 spores/mLproduced consistently produced fewer conidia thanof theseeds 6 6 at 10 ISD spores/mL in both peanuts and corn seeds (Figure 3C). Conidial production with ISD of 103 of seeds at 10 spores/mL in both peanuts and corn seeds (Figure 3C). Conidial production with 6 spores/mL 3 spores/mL spores/mL decreased 63% and 67%63% compared seedswith at 10seeds on peanuts and soybeans, ISD of 10 decreased and 67%with compared at 106 spores/mL on peanuts and soybeans, (p ≤ 0.05).the However, levels of conidiation and theofamount of OTA respectively (p respectively ≤ 0.05). However, levels ofthe conidiation and the amount OTA biosynthesis biosynthesis were low on maize and wheat, regardlessthe of ISD whether was 103 spores/mL or 106 were low on maize and wheat, regardless of whether wasthe 103ISD spores/mL or 106 spores/mL spores/mL (Figure 4B). be that the A.3.4412 ochraceus CGMCC strain has lostability the in (Figure 4B). It may be that theItA.may ochraceus CGMCC strain has lost3.4412 the density-sensing density-sensing ability in maize and wheat. maize and wheat. (A) growth on seeds; OTAproduction production on on seeds. seeds. Colonization of of seeds as reflected by by FigureFigure 3. (A)3. growth on seeds; (B)(B) OTA Colonization seeds as reflected conidiation levels: Wild type CGMCC 3.4412 was grown on seeds for six days at 28 °C; (C) conidia ◦ conidiation levels: Wild type CGMCC 3.4412 was grown on seeds for six days at 28 C; (C) conidia were counted from three replicates that contained 10 seeds each. were counted from three replicates that contained 10 seeds each. Toxins 2017, 9, 146 Toxins 2017, 9, 146 5 of 10 5 of 11 2.4. Effects of A. ochraceus Infection on MDA 2.4. Effects of A. ochraceus Infection on MDA Lipid peroxidation was estimated by measuring malonic dialdehyde (MDA) levels (Figure 4). MDALipid levelsperoxidation were higher was in soybeans than peanuts, maize, or dialdehyde wheat. In soybeans, the formation estimated byinmeasuring malonic (MDA) levels (Figure of 4). 6 spores/mL. MDA levels was 4.0 U/mg protein at 103 spores/mL and 1.5maize, U/mgor protein In contrast, were higher in soybeans than in peanuts, wheat.atIn10 soybeans, the formation of 3 6 there was less MDA formed in peanuts maize and wheat, and there was a small reduction in MDA MDA was 4.0 U/mg protein at 10 spores/mL and 1.5 U/mg protein at 10 spores/mL. In contrast, formation withMDA ISD offormed 106 spores/mL compared withwheat, 103 spores/mL peanuts, maize, and wheat. there was less in peanuts maize and and thereinwas a small reduction in MDA 6 formation with ISD of 10 spores/mL compared with 103 spores/mL in peanuts, maize, and wheat. Figure 4. Effect of ISD on lipid peroxidation in seeds infected by A. ochraceus. Figure 4. Effect of ISD on lipid peroxidation in seeds infected by A. ochraceus. 2.5. Effects of A. ochraceus Infection on ROS Activity and Antioxidant Enzymes 2.5. Effects of A. ochraceus Infection on ROS Activity and Antioxidant Enzymes A. ochraceus induced ROS accumulation, which was determined quantitatively with A. ochraceus induced ROS accumulation, which was determined quantitatively with dichloro-dihydrofluorescein diacetate (H2DCFDA), and the results suggested that A. ochraceus infection dichloro-dihydrofluorescein diacetate (H2DCFDA), and the results suggested that A. ochraceus led to a continuous and significant increase in ROS content. The accumulation of ROS in peanuts, infection led to a continuous and significant increase in ROS content. The accumulation of ROS in soybeans, maize, and wheat was increased compared to the control after being infected by A. ochraceus, peanuts, soybeans, maize, and wheat was increased compared to the control after being infected by and the ROS content at 103 spores/mL was higher than that at 106 spores/mL in peanuts and A. ochraceus, and the ROS content at 103 spores/mL was higher than that at 106 spores/mL in peanuts soybeans. On the contrary, the ROS content in maize and wheat decreased, and there was no significant and soybeans. On the contrary, the ROS content in maize and wheat decreased, and there was no difference between ROS content at 103 spores/mL and 106 spores/mL. In wheat, the ROS content of significant difference between ROS content at 103 spores/mL and 106 spores/mL. In wheat, the ROS 3 10 spores/mL did not change significantly, and it decreased with ISD at 106 spores/ mL (Figure 5A). content of 103 spores/mL did not change significantly, and it decreased with ISD at 106 spores/ mL The activity of the antioxidant enzymes SOD, CAT, and peroxidase (POD) in seeds of peanuts, (Figure 5A). soybeans, maize, and wheat decreased significantly after six days of incubation with A. ochraceus The activity of the antioxidant enzymes SOD, CAT, and peroxidase (POD) in seeds of peanuts, (Figure 5B–D). The activity of CAT, SOD, and POD all significantly decreased in infected seeds soybeans, maize, and wheat decreased significantly after six days of incubation with A. ochraceus compared to activity in the control. These antioxidant enzymes displayed significantly lower activity (Figure 5B–D). The activity of CAT, SOD, and POD all significantly decreased in infected seeds than under control conditions. However, the activity of CAT enzymes was higher than that in control compared to activity in the control. These antioxidant enzymes displayed significantly lower activity with ISD of 106 spores/mL in maize. POD activity was not significantly different at 103 spores/mL than under control conditions. 6However, the activity of CAT6 enzymes was higher than that in compared to those detected at 10 spores/mL. SOD activity at 10 spores/mL then decreased to levels control with ISD of 106 spores/mL in maize. POD activity was not significantly different at 103 lower than that observed at 103 spores/mL in peanuts and soybeans. However, the activity of CAT spores/mL compared to those detected at 106 spores/mL. SOD activity at 106 spores/mL then showed no significant changes. In peanuts and soybeans, the reverse trend was observed, with higher decreased to 6levels lower than that 3observed at 103 spores/mL in peanuts and soybeans. However, activity at 10 spores/mL than at 10 spores/mL. the activity of CAT showed no significant changes. In peanuts and soybeans, the reverse trend was observed, with higher activity at 106 spores/mL than at 103 spores/mL. Toxins Toxins 2017, 9, 146 66 of of 10 11 Figure 5. (A) The accumulation of reactive oxygen species (ROS) in seeds after being infected by A. ochraceus. content was measured H2DCFDA fluorescence; (B) the of antioxidant Figure 5. (A) ROS The accumulation of reactivebyoxygen species (ROS) in seeds afteractivity being infected by A. enzyme superoxide dismutase (SOD) (U/mg protein) at different times of incubation in seeds infected ochraceus. ROS content was measured by H2DCFDA fluorescence; (B) the activity of antioxidant by A. ochraceus; (C) the activity of(SOD) antioxidant peroxidase (POD) (U/mg protein) at in different enzyme superoxide dismutase (U/mgenzyme protein) at different times of incubation seeds times of incubation in seeds infected by A. ochraceus and (D) the activity of antioxidant enzyme catalase infected by A. ochraceus; (C) the activity of antioxidant enzyme peroxidase (POD) (U/mg protein) at (CAT) (U/mg protein) at different times of incubation in seeds infected by A. ochraceus. The results are different times of incubation in seeds infected by A. ochraceus and (D) the activity of antioxidant the mean ± SD of three determinations from three separate experiments. enzyme catalase (CAT) (U/mg protein) at different times of incubation in seeds infected by A. ochraceus. The results are the mean ± SD of three determinations from three separate experiments. 3. Discussion 3. Discussion OTA was more productive when ISD increased, although higher densities of ISD restrained OTAOTA biosynthesis. phenomenon observed in potato dextrose agarof(PDA) and malt was moreThis productive when was ISD also increased, although higher densities ISD restrained extract agar (MEA)This media. QS is a density-dependent that results a coordinated OTA biosynthesis. phenomenon was also observedphenomenon in potato dextrose agar in (PDA) and malt response from the population [20]. A. flavus reproduces in a density-dependent manner where low extract agar (MEA) media. QS is a density-dependent phenomenon that results in a coordinated population densities are characterized by increased sclerotia production and reduced conidiation. response from the population [20]. A. flavus reproduces in a density-dependent manner where low As the population transitions to high cell thesclerotia reverse production phenotype and is observed reduced population densities are characterized by density, increased reducedwith conidiation. sclerotia production and increased conidiation [19,20]. However, the phenomenon of morphological As the population transitions to high cell density, the reverse phenotype is observed with reduced transformation from and sclerotia to conidiation was[19,20]. not observed when ochraceus wasofcultured in PDA sclerotia production increased conidiation However, theA.phenomenon morphological and MEA (Figure 6). Sclerotia production might be related to culture media. The phenomenon transformation from sclerotia to conidiation was not observed when A. ochraceus was culturedwas in observed when(Figure A. flavus6).was cultured in glucose minimal medium (AOBOX, Beijing, Based PDA and MEA Sclerotia production might be related to culture media. TheChina). phenomenon on a observed previous when study, A. theflavus transcription of p450-H11 andminimal p450-B03medium genes mirrored closely that of the was was cultured in glucose (AOBOX, Beijing, China). pks gene under the same conditions, which suggested the involvement of the abovementioned Based on a previous study, the transcription of p450-H11 and p450-B03 genes mirrored closelythree that genes in OTA [15],conditions, but in our which experiments, the the twoinvolvement genes did not mirror that of of the pks genebiosynthesis under the same suggested of closely the abovementioned the pks geneininOTA this process. It is probable more genes thatthe are two involved a density-dependent three genes biosynthesis [15], but that in our experiments, genesindid not closely mirror will be discovered. that of the pks gene in this process. It is probable that more genes that are involved in a Studies of the interactions of A. ochraceus with seeds have also implicated the role of fatty acids and density-dependent will be discovered. oxidative stress on OTA production. this study, weseeds demonstrated seeds enriched as Studies of the interactions of A. In ochraceus with have also that implicated the role in of FA, fattysuch acids peanuts and soybeans, were more susceptible to OTA accumulation when infected by A. ochraceus. It is and oxidative stress on OTA production. In this study, we demonstrated that seeds enriched in FA, generally known and that seeds of plants as susceptible maize, peanuts, and walnuts that are rich in oils areby more such as peanuts soybeans, weresuch more to OTA accumulation when infected A. ochraceus. It is generally known that seeds of plants such as maize, peanuts, and walnuts that are rich Toxins 2017, 9, 146 7 of 11 Toxins 2017, 9, 146 7 of 10 susceptible to AFsusceptible productiontowhen infected bywhen AF-producing Aspergillus spp. [25]. FA is essential for in oils are more AF production infected by AF-producing Aspergillus spp. [25]. AF biosynthesis [26]. Here, we proved that FA is also vital for OTA biosynthesis. FA is essential for AF biosynthesis [26]. Here, we proved that FA is also vital for OTA biosynthesis. Oxidative Oxidative stress stress is is also also aa trigger trigger of of many many metabolites metabolites in in organisms. organisms. ROS ROS is is important important in in fungal fungal development [27,28]. In A. parasiticus, ROS can control sclerotium formation [29]. In A. flavus, development [27,28]. In A. parasiticus, ROS can control sclerotium formation [29]. In A. flavus, the the biosynthesis connection with various stages of fungal development [30],[30], and biosynthesis of ofmycotoxins mycotoxinshas hasa aclose close connection with various stages of fungal development oxidative stressstress is essential in AF production [31]. Our results that oxidative stress andstress OTA and oxidative is essential in AF production [31]. Our indicated results indicated that oxidative production in A. ochraceus were linked tightly. We noticed that increased levels of ROS had a close and OTA production in A. ochraceus were linked tightly. We noticed that increased levels of ROS had connection with increased levels of OTA biosynthesis in A. ochraceus it infected different seeds. a close connection with increased levels of OTA biosynthesis inwhen A. ochraceus when it infected Further investigations of how ROS triggers OTA production may help to control the biosynthesis different seeds. Further investigations of how ROS triggers OTA production may help to control the of mycotoxins. biosynthesis of mycotoxins. Figure 6. Morphology of A. ochraceus under different spore densities in malt extract agar (MEA) and potato dextrose dextrose agar agar (PDA). (PDA). 4. Conclusions The results of of this this study study suggested suggestedthat that when when A. A. ochraceus ochraceus was was grown grown in in PDB PDB at different spore 1 6 densities (from 10 to 10 cells/mL), cells/mL),OTA OTA production production was was more more when ISD increased, but higher densities inhibited inhibitedOTA OTAbiosynthesis. biosynthesis.Our Ourstudy study fungal infection in seeds showed peanuts densities of of fungal infection in seeds showed that that peanuts and and soybeans that are rich in FA are more susceptible to OTA accumulation when infected by A. soybeans that are rich in FA are more susceptible to OTA accumulation when infected by A. ochraceus. ochraceus. These results that FA for wasOTA important for OTA biosynthesis. Meanwhile, These results indicated thatindicated FA was important biosynthesis. Meanwhile, oxidative stress and oxidative stress in and production in A.tightly.OTA ochraceus were linked tightly.OTA produced by A. OTA production A. OTA ochraceus were linked produced by A. ochraceus may be related to ochraceus may be related to FA and oxidative stress. Therefore, antioxidants could prevent the FA and oxidative stress. Therefore, antioxidants could prevent the production of OTA in agricultural production ofUnderstanding OTA in agricultural commodities. common mechanisms of commodities. the common mechanismsUnderstanding of biosynthesis the in different mycotoxins would biosynthesis in different mycotoxins would promote the development of suitable strategies to promote the development of suitable strategies to control several mycotoxins simultaneously. control several mycotoxins simultaneously. 5. Materials and Methods 5. Materials and Methods 5.1. Fungal Strain and Culture Conditions 5.1. Fungal Strain strain and Culture Conditions A. ochraceus CGMCC 3.4412 was purchased from the Institute of Microbiology, Chinese Academy of Sciences, China. was cultured PDA medium (AOBOX, Chinese Beijing, A. ochraceus strainBeijing, CGMCC 3.4412The wasstrain purchased from theonInstitute of Microbiology, ◦ China) andofincubated 28 C. To examThe OTA production, A. ochraceus CGMCC 3.4412 was inoculated Academy Sciences,atBeijing, China. strain was cultured on PDA medium (AOBOX, Beijing, ◦ C in dark conditions for 6 days to obtain a heavy sporulation culture. The and cultured on PDA at 28 China) and incubated at 28 °C. To exam OTA production, A. ochraceus CGMCC 3.4412 was spores wereand resuspended in PDA sterileatdistilled contained 20. aSpore concentration inoculated cultured on 28 °C inwater dark that conditions for 0.05% 6 daysTween to obtain heavy sporulation 7 spores/mL. The was counted using a haemacytometer, and the final concentration was adjusted to 10 culture. The spores were resuspended in sterile distilled water that contained 0.05% Tween 20. Spore spore suspensions diluted when necessary. Sporeand suspensions (5 mL) were kept 45 mL Potato concentration was were counted using a haemacytometer, the final concentration wasinadjusted to 107 Dextrose Broth Beijing, China) thenecessary. mixture was shaken (180 rpm) 28 ◦were C in spores/mL. The(AOBOX, spore suspensions were media, diluted and when Spore suspensions (5 atmL) the dark. kept in 45 mL Potato Dextrose Broth (AOBOX, Beijing, China) media, and the mixture was shaken (180 rpm) at 28 °C in the dark. Toxins 2017, 9, 146 8 of 11 5.2. Determinations of Fungal Dry Weights and OTA Content To determine dry weights, mycelia grown in 50 mL media were harvested by two layers of filter paper, and then washed by sterilized water; before obtaining a constant weight, mycelia also should be freeze-dried. For extraction of OTA from media, 1 mL of medium from each flask were extracted with an equal volume of chloroform. The chloroform fraction was evaporated under nitrogen. The residues were redissolved in 1 mL methanol. Samples were stored at −80 ◦ C until analyzed quantitatively for mycotoxins by an ELISA kit. 5.3. Extraction of RNA and Preparation of cDNA Mycelia were harvested and frozen immediately at −80 ◦ C. To extract the RNA, the mycelia were ground in liquid nitrogen in a pre-cooled mortar and pestle. Total RNA was extracted from the ground mycelia using an RNeasy Plant kit. cDNA was prepared using cDNA Quantscript RT kit. 5.4. qRT-PCR Analysis of Gene Transcript Accumulation qRT-PCR was conducted in a Bio-Rad C1000TM Thermal Cycler (Hercules, CA, USA) installed with CFX96TM software (CFX96 system, Bio-Rad, Hercules, CA, USA) using the primers listed in Table 1 and replicated three times in a 25 µL reaction volume. Real Master Mix (SYBR green) was used. The PCR amplification program was as follows: one cycle of 95 ◦ C for 10 min followed by 39 cycles of denaturation (15 s at 95 ◦ C), annealing (15 s at 58 ◦ C), and extension (30 s at 72 ◦ C), with a final elongation of 72 ◦ C for 1 min. The amplification was followed by a melting curve analysis program with a temperature range of 65–95 ◦ C. 18S ribosomal RNA was used an endogenous control. The gene expression values were normalized to those of reference gene Ao18s. The relative gene expression was evaluated using the 2−∆∆CT method, where ∆∆CT = (CT, Target − CT, Ao18s) Infected −(CT, Target − CT, Ao18s) Control. Table 1. PCR primers used in this study. Primer Pks-F Pks-R P450-B03-F P450-B03-R P450-H11-F P450-H11-R Ao-18s-F Ao-18s-R Sequence TTCTCTGCGCTTCTCACATC AACATCATAAGAGGTCAACA CTCGGTGACATCAGGGGTATC AGCGTATTCAGTCACTCATTCAGA AGAACGGGATGCCAAAACAGTGAG AAGAATGCGAGGGATGGGATAACC ATGGCCGTTCTTAGTTGGTG GTACAAAGGGCAGGGACGTA Annealing Temperature ◦C 60 60 ◦ C 60 ◦ C 60 ◦ C 64 ◦ C 64 ◦ C 60 ◦ C 60 ◦ C Reference [11] [11] [11] [11] [11] [11] [15] [15] 5.5. Peanut, Bean, Wheat and Maize Seed Infection Studies and OTA Analysis from Seeds Infection studies and OTA analysis of peanuts, soybeans, wheat, and maize seeds were carried out as described previously [17]. First, seeds were surface sterilized by dipping them in a beaker that contained 0.05% sodium hypochlorite in sterile water for 3 min. Then, seeds were washed by sterile distilled water, 70% ethanol, and sterile distilled water again. This was followed by complete drainage, and then the seeds were placed in a Petri dish until the time of infection. All steps were performed aseptically in a biosafety hood. For the infection experiment, 200 g of seeds was immersed in 200 mL of sterile distilled water (control) or sterile distilled water with fungal conidia in a 500 mL flask while shaking for 30 min at 200 rpm. Seeds were placed in Petri dishes that were lined with moist filter paper to maintain high humidity and incubated for 6 days at 28 ◦ C in dark conditions. Then, 200 g of seeds per replicate was transferred to a humidity chamber and incubated as described previously. Seeds were collected in tubes with the addition of 3 mL of 0.01% Tween 80 (vol/vol, water) after 6 days, and vortexed Toxins 2017, 9, 146 9 of 11 vigorously. One milliliter was removed from each sample, and 3 mL of chloroform was added, followed by shaking for 10 min at 200 rpm. Samples were allowed to stand for an additional 10 min at room temperature, vortexed briefly, and centrifuged for 5 min at 8000 rpm to collect the organic lower phase. The chloroform extract was evaporated to dryness under nitrogen. The residues were redissolved in 1 mL methanol. 5.6. Measurement of ROS, MDA, and Antioxidant Enzymes The ROS content was measured by H2DCFDA fluorescence, according to the ROS kit. The ROS kit and MAD, SOD, POD, CAT were all purchased from Nanjing Jiancheng Bioengineering Institute, Nanjing, China [32], in relation to MDA, SOD, POD, CAT. Acknowledgments: This study was supported by the National Natural Science Foundation of China (31671947). Author Contributions: Caiyan Li and Zhihong Liang conceived and designed the experiments; Caiyan Li performed the experiments, Yanmin Song and Lu Xiong were responsible for statistical analysis and data analysis; Caiyan Li wrote the manuscript; and Zhihong Liang and Kunlun Huang corrected the written English. All authors have read and approved the final manuscript. Conflicts of Interest: The authors declare no conflict of interest. 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