Lina Zhaoa,
Yaping Penga,
Xiaoyun Zhanga,
Jun Lib,
Xiangfeng Zhenga,
Qiya Yanga,
Maurice Tibiru Apaliyaa and
Hongyin Zhang*a
aSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China. E-mail: zhanghongyin126@126.com
bSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China
First published on 3rd October 2017
Ochratoxin A (OTA) has been found in a wide range of commodities and is highly toxic to both humans and animals. Therefore, a good understanding of the mechanisms of OTA production by fungi will contribute to the development of eco-friendly methods to mitigate this toxin. In this study, the results showed that Penicillium citrinum X9-4, which was isolated from infected grapes in our laboratory, produced the highest amount of OTA at pH 5 in culture media, and toxin production was restrained under an acidic environment (pH 3). Then, differentially expressed proteins of P. citrinum X9-4 cultured under these two conditions were analyzed by proteomic technology. Additionally, through the analysis of the transcriptome data of P. citrinum cultured at pH 3 and 5, the differentially expressed genes have been found to be involved in many metabolic pathways including amino acid transport and metabolism, transport and metabolism of carbohydrates, inorganic ion transport and metabolism, biosynthesis of secondary metabolites, and energy and supply metabolism, which are likely to be involved in the regulation of OTA biosynthesis. It was also revealed that the expression levels of some OTA synthesis-related enzymes, such as acetyltransferase, acyl coenzyme A oxidase, alcohol oxidase, cytochrome P450, acetyl xylan esterase, and turn ketol enzyme, and genes for the regulation of toxin synthesis pathways were reduced under acidic culture conditions.
OTA was first reported to be caused by Penicillium verrucosum and Aspergillus ochraceus in cereals and its derived products.7 The main OTA-producing strains include Penicillium8 and Aspergillus genera, a few Petromyces genera, and Cladosporium strains.9–11 Black aspergilli (i.e., Aspergillus niger and Aspergillus carbonarius) have been found to produce OTA in commodities such as wine, grapes, and raisins in occident.12 The rate of OTA synthesis is influenced by the kind of substrate contamination, environmental conditions, and geographical regions.13 In temperate climate, OTA is mainly produced by Penicillium species, whereas in tropical and subtropical areas, it is produced by Aspergillus species.14
Although the pathway of OTA biosynthesis has not been completely elucidated in detail to date, some steps of the toxin biosynthesis pathway have been clearly elucidated.15–17 It is clear that the pathway of ochratoxin biosynthesis involves several crucial steps such as biosynthesis of the isocoumarin group through a reaction catalyzed by polyketide synthase (PKS), ligation of the isocoumarin group with amino acid phenylalanine through the carboxyl group in a reaction catalyzed by a peptide synthetase, and chlorination; however, the order of the reactions is not well defined to date.18 There is a clear evidence of the involvement of polyketide synthase in OTA production in A. ochraceus,19 Penicillium nordicum/verrucosum,20 and A. carbonarius,21 and the involvement of the non-ribosomal peptide synthetase (nrps) has been unequivocally demonstrated in A. carbonarius only.22 The pathway is still fragmentary, and some genes are missing during the virtual overlap between the hypothesized biochemical pathway and the genes found in putative OTA clusters of both Aspergillus and Penicillium.19,23 It is reported that mycotoxin biosynthetic genes are often coordinately regulated and arranged in clusters.24–26
Studies based on differential expression profiles are often performed to identify genes and proteins related to OTA biosynthesis. To identify the putative OTA biosynthetic genes in A. ochraceus, O'Callaghan et al.15 focused on two putative cytochrome P450 monooxygenase genes by comparing their expression profiles in permissive and restrictive media. Additionally, it was reported that polyketide synthase gene (pks) and nonribosomal peptide synthetase gene (nrps) were related to OTA biosynthesis in P. nordicum.27 A putative OTA biosynthetic cluster has been identified, containing biosynthetic genes encoding (i) PKS (otapksPN), (ii) nonribosomal peptide synthetase (NRPS) (otanpsPN) putatively responsible for the formation of the peptide bond between polyketide and phenylalanine, (iii) a gene (otachlPN) with some homology to chlorinating enzymes, which may be involved in the chlorination step, and (iv) a gene (otatraPN) with high homology to a transport protein hypothesized to be involved in OTA export.28 An interesting thing is that otapksPN gene is present only in P. nordicum and not in P. verrucosum; this indicates that genetic differences also exist between both OTA-producing Penicillium species.29 However, none of the necessary genes for the biosynthesis of this harmful toxin have been found to date.
The effect of pH on the growth and OTA production of P. citrinum was investigated. Proteomics and transcriptomic analysis of P. citrinum cultured at different pH values were performed to reveal the underlying mechanisms of OTA biosynthesis regulated by pH. This study will reveal the regulation mechanisms of OTA biosynthesis, enrich the gene database of OTA production genera, and assist in developing effective strategies for the protection of food and feed from OTA contamination.
To determine the mycelium growth of the strain P. citrinum X9-4 under different culture conditions, the colony diameter was chosen as the evaluation index. Then, 2.5 μL of 1 × 106 conidia per mL of P. citrinum X9-4 was inoculated in the single point of the culture solid medium at 25 °C (aw = 90%) for 7 days; after this, the colony diameter was measured using a Vernier caliper. Each plate was measured three times, and the experiment was repeated twice. For the determination of OTA production of the strain X9-4 under different pH culture conditions, 100 μL of 1 × 106 conidia per mL of P. citrinum X9-4 was spread by a coated rod on CYA plates (containing 30 mL CYA medium) for 2 weeks; then, a whole plate was extracted using 5 mL methanol by shaking to obtain a uniform mixture and deposited in dark for 3 hours. The extracts were filtered through a 0.22 μm filter for OTA detection. OTA production was determined by a high-performance liquid chromatograph equipped with a fluorescence detector (Agilent Technologies 1260, America). Agilent ZORBAX SB-C18 reversed-phase HPLC analytical column (250 mm × 4.6 mm, 5 μm) was used, and the column temperature was 30 °C. The excitation and emission wavelengths were set at 330 nm and 460 nm, respectively. The mobile phase comprised a mixture of acetonitrile and 1% acetic acid (60:40, v/v) at a flow rate of 1 mL min−1 in the isocratic elution mode.
MS analysis was performed as described by Zhang et al.,31 with some modifications. Selected spots were manually excised from gels and placed in Eppendorf tubes. Each gel piece of protein was washed with 350 μL of deionized water for 10 min, and the procedure was repeated twice. Afterward, the gel pieces were dehydrated with 50 μL of 10 mM (NH4)2CO3/acetonitrile (1:1) for 10 min. This process was repeated until the color faded. Then, the gel pieces were dehydrated with 25 mM (NH4)2CO3 and 50% acetonitrile. Next, 3 μL trypsin solution (10 ng μL−1 trypsin in 25 mM (NH4)2CO3) was added, and the mixture was kept at 4 °C for 30 min until the entire trypsin solution was absorbed by the gel pieces. The gel pieces were then covered with 15 μL of 25 mM (NH4)2CO3 and digested at 37 °C overnight for proteolysis. After this, 2% TFA was added and centrifuged immediately to terminate the reaction. Herein, 1 μL of the peptide solution was spotted per well in perforated plates and evaporated at room temperature, and this step was repeated once.
The identification of the vast majority of the proteins was performed using search engine MASCOT Peptide Mass Fingerprint of Matrix Science and compared with NCBInr Swissport databases. The parameters used for MS search included taxonomy, all series; allowed modifications, carbamidomethyl of cysteine (fixed) and oxidation of methionine (variable); and peptide tolerance, ±0.3 Da. Only the highest Mowse score was considered as the most probable identification and was significant (p < 0.05) when protein scores were greater than 88 (NCBInr) or 70 (swissport). The data were analyzed by analysis of variance (ANOVA) using the statistical program SPSS/PC version II.x, (SPSS Inc. Chicago, Illinois, USA), and the Duncan's multiple range test was used for mean separation. In addition, when two groups of data were compared, the independent-sample t test was applied for mean separation. The statistical significance was assessed at p < 0.05.
Fig. 2 Two-dimensional pattern of total proteins of P. citrinum cultured at different pH values. (A) P. citrinum cultured at pH 3, (B) P. citrinum cultured at pH 5. |
Function classification | Protein spot | NCBI accession | Protein name | Species | Mass/PI(Da) | Score | Peptide hits | Expression change |
---|---|---|---|---|---|---|---|---|
Metabolism and synthesis related protein | 11 | gi|582959135 | Fructose-bisphosphate aldolase | Drechslerella stenobrocha | 5.52/39347.56 | 64 | 1(1) | Up-regulated |
4 | gi|9955865 | Fructose1,6-bisphosphate aldolase | Aspergillus oryzae | 6.02/39162.33 | 63 | 1(1) | Up-regulated | |
14 | gi|115400267 | Transaldolase | Aspergillus terreus | 6.16/35057.20 | 126 | 1(1) | Down-regulated | |
17 | gi|425774591 | Nucleoside-diphosphate-sugar epimerase | Penicillium digitatum | 5.62/36935.70 | 96 | 1(1) | Up-regulated | |
Energy metabolism | 21 | gi|121701281 | Transketolase | Aspergillus clavatus | 6.06/74671.48 | 153 | 2(2) | Down-regulated |
10 | gi|115399504 | Riosephosphate isomerase | Aspergillus terreus | 5.42/27084.90 | 387 | 6(3) | Down-regulated | |
19 | gi|425772348 | Adenosine kinase | Penicillium digitatum | 5.21/38013 | 106 | 2(1) | Down-regulated | |
24 | gi|74664773 | Enolase | Penicillium citrinum | 5.33/47275.45 | 480 | 6(4) | Up-regulated | |
18 | gi|654941862 | Leucine/isoleucine/valine transporter ATP-binding subunit | Bacillus sp | 6.72/29165.91 | 61 | 1(0) | Up-regulated | |
25 | gi|425767748 | 6-Phosphogluconate dehydrogenase, decarboxylating | Penicillium digitatum | 5.85/53908.23 | 77 | 2(0) | Down-regulated | |
Stress protein | 23 | gi|700449320 | Aldehyde dehydrogenase | Penicillium expansum | 5.99/53823.25 | 170 | 3(0) | Up-regulated |
3 | gi|14423733 | Heat shock 70 kDa protein70 kDa | Penicillium citrinum | 4.99/55125.80 | 340 | 7(2) | Up-regulated | |
Transporter related protein | 9 | gi|494679012 | Peptide ABC transporter substrate-binding protein | Acetobacteraceae bacterium | 6.58/59424.33 | 63 | 1(1) | Down-regulated |
8 | gi|557724566 | Glutathione S-transferase GstA | Byssochlamys spectabilis | 6.47/29102.79 | 217 | 2(2) | Up-regulated | |
Regulatory protein | 12 | gi|503068397 | Integrase domain-containing protein | Ignisphaera aggregans | 10.34/37022.51 | 65 | 1(1) | Up-regulated |
Others | 22 | gi|119483728 | Class V chitinase ChiB1 | Neosartorya fischeri | 5.10/47667.27 | 131 | 3(1) | Down-regulated |
20 | gi|114077 | Apovitellenin, Protein component of VLDL | Aves | 9.40/9492.11 | 65 | 1(1) | Up-regulated | |
16 | gi|34069 | Unnamed protein product | Homo sapiens | 5.12/39218.58 | 96 | 2(0) | Down-regulated | |
Hypothetical protein | 2 | gi|115491105 | Hypothetical protein | Aspergillus terreus | 5.25/326391.46 | 79 | 1(1) | Down-regulated |
13 | gi|740092337 | Hypothetical protein | Sulfitobacter sp. | 5.42/22273.12 | 71 | 1(1) | Up-regulated | |
15 | gi|531280525 | Hypothetical protein | Peptoclostridium difficile CD196 | 7.91/4376.12 | 49 | 2(0) | Down-regulated | |
6 | gi|358386419 | Hypothetical protein | Trichoderma virens | 6.57/42545.25 | 109 | 2(0) | Down-regulated | |
1 | gi|734656611 | Hypothetical protein | Metarhizium album | 6.76/26146.62 | 84 | 1(1) | Down-regulated | |
7 | gi|503691373 | Hypothetical protein | Parachlamydia acanthamoebae | 9.17/50868.18 | 64 | 1(1) | Down-regulated | |
5 | gi|799157440 | Hypothetical protein | Streptomyces sp | 9.13/24830.99 | 66 | 1(1) | Down-regulated |
Energy is essential for the biosynthesis of OTA, and PP pathway is an important source to provide NADPH.36 In this study, the expression of 6-phosphogluconate dehydrogenase (6PGDH, spot 25) was decreased when the strain was cultured at pH 5. 6PGDH is generally considered to catalyze the following reactions with the generation of NADPH: 6-phosphogluconate + NADP+ → ribulose 5-phosphate + CO2 + NADPH. That is, the PP pathway was more active when the strain was cultured at pH 3. Transketolase (spot 21) is an important enzyme in the pentose phosphate cycle and reduced pentose phosphate cycle, with pyrophosphate thiamine and Mg2+ as the prosthetic group. Triose phosphate isomerase (spot 10), which catalyzes triose phosphate isomer to transform between dihydroxyacetone phosphate and type D glyceraldehyde 3-phosphate, plays an important role in the glycolysis process and energy supply. However, the expression of triose phosphate isomerase was down-regulated at pH 5. Adenylate kinase (spot 19) is an important enzyme in energy metabolism, which catalyzes adenosine triphosphate (ATP) to make adenosine monophosphate (AMP) and adenosine diphosphate (ADP) by phosphorylation. Herein, two proteins involved in energy metabolism were up-regulated when cultured at a pH value of 5: phosphopyruvate hydratase and amino acid transporter ATP-binding subunit. Phosphopyruvate hydratase (spot 24), which is involved in the process of sugar dysplasia catalytic-D-2-phosphoric acid by glycolysis glyceric acid (PGA)-enol phosphate type adverse reactions of pyruvate (PEP), transform PEP to PGA, it plays an important role in the process of energy metabolism in cells.37 Adenosine phosphate protein subunits (spot 18) are involved in the process of generation of biological energy, and dipeptide adenosine phosphate is involved in the synthesis of dTDP-4-ethyl amide group-alpha-D-trehalose (dTDP-N-acetylthomosamine) in Haemophilus parasuis; the results are presented in Uniprot. Under the acidic conditions, a part of the proteins involved in energy metabolism was up-regulated, and other was down-regulated in the strain X9-4.
6PGDH (spot 25) in the process of metabolism in the PP pathway produces a substance called NADPH, which can protect cells from oxidation. Thus, 6PGDH is involved in energy metabolism and can cause stress. Aldehyde dehydrogenase (spot 23) plays an important role in improving the resistance of organisms. Guo et al. showed that under a low-temperature stress, genetically modified (SoBADH gene) strain exhibits high aldehyde dehydrogenase activity and significant improvement in frost-resistance ability.38 There were also differentially expressed proteins, such as 70 kDa heat stress protein (spot 3), related to the immune response.
The toxin needs to be discharged by the translocator after its production. The expression of glutathione S-transferases39 (GSTs, spot 8) was up-regulated under the culture condition of pH 5. GSTs are a set of multifunctional isozymes widely distributed in various organisms, and their function involves coupling the electrophilic group of substances with the mercapto group of reduced glutathione; this makes it easy for the substances to cross the cell membranes by increasing their hydrophobicity. It was observed that there was positive correlation between up-regulated enzymes of GSTs and the efficiency of OTA production, the concentration of OTA in P. citrinum was increased when the expression of GSTs was up-regulation. ABC transporters (spot 9) is a type of protein across the membrane, which widely exists in various organisms in the range from bacteria to humans. Its main function is to transfer the substrate combined with it outside the cell using ATP. SAM (Sterile Alpha Motif) function domain (spot 12), which is up-regulated under the culture condition of pH 5, is a protein interaction between protein models, for example, SAM functional domains at the C terminal of p63 and p73 work by recruiting other protein effectors to regulate the functions of p63 and p73.
Samples | Clean reads | Clean data | GC content | % ≥ Q30 |
---|---|---|---|---|
a % ≥ Q30: the percentage of bases that clean data quality value is greater than or equal to 30. | ||||
pH 3 | 21089411 | 5272352750 | 50.32 | 94.27 |
pH 5 | 18568067 | 4642016750 | 50.53 | 94.6 |
No. | Unigenes | Description | Forward primer (5′ to 3′) | Revers primer (5′ to 3′) | Relative expression |
---|---|---|---|---|---|
1 | TRINITY_DN4069_c0_g1 | Acetyltransferase | GGCTCCTCAACCAACCTC | TCTCCCAATCCCTTTACC | +1.28 |
2 | TRINITY_DN5955_c0_g3 | Polyketide synthase phosphopantetheine-binding domain | AATCGCTGAACAACCATCCG | GGCTTCCATTCCAAACTC | +1.6 |
3 | TRINITY_DN1510_c0_g1 | Acyl-CoA dehydrogenase oxidase | GTAATGCCGTCGCAAGAT | GATTCGGTTCAAAGGGTT | +1.71 |
4 | TRINITY_DN3456_c0_g2 | Alcohol oxidase | TTCGTGTACTTGTCCCATT | TATCGTCCGCTGCCTTCT | +3.73 |
5 | TRINITY_DN10315_c0_g1 | NAD(P)-binding protein | CTCAGAAGCACCGATTTT | CAACATCCAACCCGTCCA | +6.29 |
6 | TRINITY_DN9885_c0_g1 | Acetylxylan esterase | TACATCGGTGCTTCTTTCGTC | TCGGTGCCATAGCCTTGA | +8.04 |
7 | TRINITY_DN526_c0_g2 | Cytochrome P450 | TATCCCAGCCCATACCATC | CACCCTCTTCCTCCAACG | +8.15 |
8 | TRINITY_DN4980_c0_g4 | ABC transporter, putative | TCTTTCCAGGTTCTATTCGG | CTGCTCGTTGGTTCGTCT | +1.51 |
9 | TRINITY_DN598_c0_g1 | Glutathione S-transferase | GAGTTTTGGATAAGTGGTTG | TTTGACTGATTCTATGGTGG | +1.40 |
10 | TRINITY_DN6150_c0_g1 | Transketolase C-terminal domain | GCCGACTATGTCTTTCCG | ACCGTGGCATTACTACCC | +1.02 |
11 | TRINITY_DN1616_c0_g1 | Alcohol dehydrogenase | TGGCTGCGATTACACCTT | CCCTTGATACCACCGAAA | −7.81 |
12 | TRINITY_DN2593_c0_g1 | Transaldolase | CGCTTGGCTGTCAGAATA | CTTGATAGCGATGCGTGT | −6.09 |
13 | TRINITY_DN6090_c0_g2 | Beta-ketoacyl synthase domain-containing protein | TAGGACGCTGGAGTGCTTCTGGT | CTCGACGGGCTGAGTTGT | −4.55 |
14 | TRINITY_DN6972_c0_g2 | Heat shock 70 kDa protein | AGTGTTGTGGGGGTTCAT | CTCCTGTGTGGGTGTGTT | −1.65 |
15 | TRINITY_DN4080_c0_g2 | Actin biding | CGAACAGGACAACGCAGC | CCACTGTCTGAAGGACGAAC | +1.019 |
There were different gene expressions at different time and space phases; external stimulus and internal environment also affected gene expression. Differentially expressed genes (DEGs) are the genes differently expressed under two different conditions (e.g., control and processing, wild type and mutant type, different time, different organizations, etc.). In this study, the difference in OTA synthesis ability may be caused by differences in gene expression; therefore, it is essential to study the differently expressed unigenes of P. citrinum cultured at pH 3 and 5. By comparing the results, we found 2200 DEGs between two samples (fold change ≥ 2 and FDR < 0.05); among them, 1024 genes were up-regulated and 1176 were down-regulated. P3_vs._P5 were used to categorize differentially expressed genes; henceforth, up-regulated genes have a higher expression level in the sample group P5 than that in the sample group P3 and vice versa.
To analyze the function of these differentially expressed genes, we performed the GO and COG annotations and classification (Fig. 4). We divided 4545 unigenes into three GO function categories, which were further divided into 57 categories; many unigenes were assigned to different categories simultaneously. Then, the percent of DEG unigenes from each category was calculated. From the results of “biological process” category, the highest category of differentially expressed unigenes was “metabolism” of 1002 (12.28%); the differentially expressed unigenes in “Molecular function” category was “catalytic activity of 822 (12.61% of gaia category), and the “combination”, 623 (11.91%); the two high percentage categories of “cells” category were “cell part” (582, 10.39%) and “cell” (579, 10.42%). These results suggest that the difference in OTA production by P. citrinum may be due to the several differentially expressed genes in the categories, and differentially expressed genes in these categories accounted for a big proportion; this provides the direction for the subsequent analysis.
Fig. 4 Functional classification of DEG in P. citrinum. (A) GO classification. (B) COG classification. |
Regarding the transcriptome data for P. citrinum cultured at different pH values, it was observed that the acidic pH inhibited the toxin synthesis due to the low expression of some metabolic pathway-related enzymes. Additionally, the expression levels of some genes involved in the regulation of the biosynthesis of toxins were inhibited in P. citrinum cultured under an acidic environment; this could also reduce the synthesis of toxins. The DEGs were classified in the most enriched categories including amino acid transport and metabolism, transport and metabolism of carbohydrates, inorganic ion transport and metabolism, biosynthesis of secondary metabolites, and energy and supply metabolism. These differentially expressed genes are likely to be involved in the synthesis and OTA regulation process.
To verify the differences in these genes expressed in the OTA synthesis, the mRNA levels of 14 unigenes, which were differently expressed genes and associated with toxin production, were analyzed by RT-qPCR (Fig. 5). From the results of P. citrinum cultured at pH 5, the expression levels of these genes were obviously higher than those of the strain cultured at pH 3. These results were consistent with those of transcriptome data analysis.
In conclusion, the results indicated that low pH conditions inhibited the biosynthesis of OTA in P. citrinum. The proteomics technique employed to investigate differentially expressed proteins of P. citrinum under different pH culture conditions revealed that the expression levels of 11 proteins, accounting for 44% of the total number of proteins, were up-regulated in the medium of pH 5 as compared to those at pH 3. In contrast, the expression levels of most basic metabolism- and synthesis-related proteins, as well as of those related to energy supply, were decreased; this made it difficult for cells to maintain the life activities. Fructose-diphosphate aldolase, acetone phosphate acid hydratase, adenosine phosphate subunits, and glutathione S-transferase activities were decreased under the low pH (3) culture condition of P. citrinum. Fructose-diphosphate aldolase provides ATP and substrate for organisms, and glutathione S-transferase may be associated with toxin transport. Under the low pH (3) condition, the expression levels of fructose-diphosphate aldolase and glutathione were limited, whereas those of the stress-related proteins, such as some signal transduction and dehydrogenate-related proteins, increased. The expression level of glucose-6-phosphate dehydrogenase was increased under low pH (3) conditions; this protected the strain from stress.
Through the analysis of the transcriptome data of P. citrinum cultured under different pH conditions, the mechanism of OTA biosynthesis and metabolic regulation has been revealed. Under the two pH conditions of 3 and 5, 19598 unigenes were identified. The results indicated that some genes played important roles in OTA synthesis by P. citrinum. These genes mainly encoded acetyltransferase, polyketone synthase phosphate generic acyl cysteamine-combined domain, acyl coenzyme A oxidase, alcohol oxidase, NAD(P)-binding protein, acetyl xylan esterase, cytochrome P450, ABC transporters, beta ketone enzyme domain protein, turn ketol enzyme, aldol enzyme, and alcohol dehydrogenase. Some proteins were consistent with the results of the two-dimensional technique; however, many important enzymes could not be identified by this technique due to technical reasons. These transcriptome findings provided the basis for the molecular level for further studies of OTA biosynthesis by P. citrinum and Penicillium species. Finally, the transcriptome data for P. citrinum not only revealed the possible mechanism of OTA synthesis and molecular regulation in P. citrinum, but also provided scientific guidance for controlling the OTA synthesis.
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