Next Article in Journal
Acute Kidney Injury and Organ Dysfunction: What Is the Role of Uremic Toxins?
Previous Article in Journal
The Dragon’s Paralysing Spell: Evidence of Sodium and Calcium Ion Channel Binding Neurotoxins in Helodermatid and Varanid Lizard Venoms
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Ambient pH on Growth, Pathogenicity, and Patulin Production of Penicillium expansum

1
College of Science, Gansu Agricultural University, Lanzhou 730070, China
2
College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
*
Authors to whom correspondence should be addressed.
Submission received: 15 May 2021 / Revised: 4 August 2021 / Accepted: 5 August 2021 / Published: 7 August 2021
(This article belongs to the Section Mycotoxins)

Abstract

:
Penicillium expansum is an important postharvest pathogen of pomaceous fruit and a causal agent of blue mold or soft rot. In this study, we investigated the effect of ambient pH on growth, ultrastructure alteration, and pathogenicity of P. expansum, as well as accumulation of patulin and expression of genes involved in patulin biosynthesis. Under different pH, the fungus was routinely cultured and collected for growth, pathogenicity, patulin production, and gene expression studies using transmission electron microscopy, apple inoculation, HPLC, and RT-qPCR methods. Different ambient pH had significant impact on expression of genes and growth factors involved in patulin biosynthesis. Under same range of pH, gene expression profile, growth factors, and patulin accumulation (in vivo and in vitro) all showed similar changing trends. A well-developed cell was observed in addition to upregulation of genes at pH between pH 5.0 and 7.0, while the opposite was observed when pH was too basic (8.5) or too acid (2.5). Additionally, ambient pH had direct or indirect influence on expression of PecreaA, PelaeA, and PepacC. These findings will help in understanding the effect of ambient pH on growth, pathogenicity, and patulin production and support the development of successful methods for combating P. expansum infection on apple fruits.
Key Contribution: When pH was extremely acidic (pH 2.5) or extremely basic (pH 8.5), growth factors of P. expansum were inhibited, expression of genes involved in patulin production was down regulated and patulin production reduced.

1. Introduction

Penicillium expansum is a ubiquitous, opportunistic, and saprophytic fungus belonging to the Ascomycete sub-group and Trichomaceae family. It is one of the most important postharvest pathogens of pomaceous fruits (e.g., apples and pears) and a causal agent of blue mold or soft rot [1]. The fungus attacks fruits through injuries or mechanical wounds during postharvest handling and storage, leading to blue mold on fruits. The blue mold not only causes substantial economic loss around the world but also leads to patulin contamination with public health consequences [2]. Patulin may lead to nausea, vomiting, gastrointestinal injuries, kidney damage, cancerous tumor growth, genetic mutations, and embryonic developmental defects. Patulin belongs to a shortlist of mycotoxins (including aflatoxins, ochratoxin A, zearalenone, fumonisins, and trichothecenes) found in foods and their contamination levels are controlled in many countries around the world. European Regulation 1881/2006 has set a maximum standard of 50 μg/L for fruit juices and derived products, 25 μg/L for solid apple products, and 10 μg/L for juices and foods intended for infants and young infants [3]. Therefore, inhibition of growth and patulin production of P. expansum is essential in maintaining the security of products derived from apples.
Environmental factors, including temperature, pH, gas composition, water activity, and other chemical characteristics of substrates influence growth, pathogenicity, and patulin production of P. expansum. Among these factors, ambient pH plays an essential role. Manteau et al. [4] reported that pH might dictate living cells’ survival, particularly on microorganisms, since their cells are in direct contact with the environment. Zong et al. [5] also suggested that ambient pH significantly influences growth, sporulation, and biomass of P. expansum, as well as patulin production; Damoglou et al. [6] reported that pH strongly influences patulin production and stability. It has also been reported that P. expansum acidifies its host by stimulating glucose oxidase 2 (gox2) and catalyzes glucose oxidation to secrete D-gluconic acid (GLA) which can modulate ambient pH, thereby activating several polygalacturonases that act in favor of successful fungal colonization [7,8]. The fungus then secretes pathogenic factors and metabolites such as patulin.
pH, the main environmental factor of this study, has significant influence on patulin production. For many cellular activities, such as development, morphogenesis, cell membrane and cell wall stabilization, protein stability and function, secondary metabolism, and host infection, ambient pH usually acts as essential signal [9]. Thus, pH acts on genes that code for patulin biosynthesis and affects gene expression of metabolic growth factors. According to Chen et al. [10], ambient pH may influence spore germination of P. expansum by modifying intracellular pH, protein expression, and regulatory factors. Additionally, it has been reported that genes that code for permease enzymes and export metabolites are affected by environmental pH [11]. For instance, in the case of Aspergillus nidulans (filamentous fungi), pacC gene codes for pacC transcription factor that functions in alkaline conditions as an activator of genes and in acidic conditions as a repressor of expressed genes and possibly involve in homeostasis of internal pH [12]. In addition, Chen et al. [10] found that mutant PepacC lost the ability to generate patulin at pH values above 6.0 because expression of all genes in the patulin biosynthesis pathway gene cluster were substantially downregulated.
Other regulatory proteins such as laeA (global secondary metabolism transcription factors) and creA (carbon metabolism inhibition transcription factors) are known to affect natural product biosynthesis in fungi. The gene cluster, which facilitate patulin biosynthesis, has been identified and characterized [13,14,15]. A number of studies have reported the effect of ambient pH on patulin biosynthesis; however, there are few systematic studies on the effect of ambient pH on growth, ultrastructure alteration, pathogenicity, patulin production, and regulation of P. expansum. Therefore, the present study aimed at investigating the effect of ambient pH on growth, ultrastructure alteration, and pathogenicity of P. expansum as well as accumulation and regulation of patulin (in vivo and in vitro), and the expressions of transcription factors (pacC, creaA, and laeA) involved in patulin biosynthesis.

2. Results

2.1. Effect of Ambient pH on P. expansum Growth In Vitro

2.1.1. Effect of Different Ambient pH on Spore Germination and Germ Tube Length of P. expansum

The effect of pH on growth factors was established by culturing P. expansum in potato dextrose broth (PDB) modified at various pH and incubated at different periods. The pH value of 5.0 was most beneficial for P. expansum spore germination and germ tube growth. After 8 h, germination rate at pH of 5.0 and 7.0 were 95% and 75%, respectively, while germination rate at pH of 2.5 was around 15%, and that of pH 8.5 was insignificant compared with pH 5.0 and 7.0. After 12 h, germination rate reached more than 90% at pH 5.0 and pH 7.0, while at pH 2.5, it was about 70% and remained non-existent at pH 8.5 (Figure 1A). The average germ tube length was around 110 µm after 12 h, compared to a considerable reduction in germ tube length at exposure to pH of 2.5 and 8.5 (Figure 1B,C).

2.1.2. Effect of Different Ambient pH on Colony Diameter and Colony Edges of P. expansum

The results (Figure 2A,B) showed that colony diameters at pH 5.0 and 7.0 were significantly higher than that at pH 2.5 and 8.5 (p < 0.05). For instance, the diameter of the colony at pH 5.0 enlarged to 6.4 cm after 8 days of culture on potato dextrose agar (PDA) medium, and the colonies looked greenish, velvet, and powdery. At pH 2.5 and 8.5, the colonies had less powdery appearance, and their color was not very pronounced; their diameter was approximately equal to 2.5 cm. The colony edges at pH 5.0 and 7.0 were more apparent than that at pH 2.5 and 8.5, and the branches were longer, while the edges were short and dense at pH 2.5 and 8.5. The edges were not pronounced at pH 8.5 (Figure 2C).

2.1.3. Effect of Ambient pH on Ultrastructural Alteration of P. expansum

Transmission electron microscopy (TEM) analysis was carried out to further investigate ultrastructural changes of P. expansum under different ambient pH. The results indicated that cell ultrastructure was normal at pH 5.0, with intact cell membrane and normal organelles (Figure 3A). In contrast, at pH 8.5 the cell wall was strongly destroyed, vacuole expanded, and plasma was not homogenous (Figure 3B). Additionally, at pH 2.5 and pH 7.0, the cell wall was slightly damaged, and organelles were disorganized (Figure 3C,D).

2.1.4. Effect of Different Ambient pH on Sporulation, Biomass, and Patulin Production of P. expansum

The effect of different ambient pH on sporulation of P. expansum in PDB is shown in Figure 4A. After 4 days of culture, sporulation was greatly enhanced at pH 5.0 followed by pH 7.0 with significant difference. The sporulation at pH 5.0 was approximately 2-fold more than that at pH 8.5 and 1.4-fold more than that at pH 2.5. After 8 days of culture, the same sporulation trend was observed.
Mycelia of P. expansum were cultured for 8 days in PDB culture modified at pH of 2.5, 5.0, 7.0, and 8.5 to illustrate the impact of ambient pH on mycelia growth and patulin production. The highest biomass was found at pH 5.0, followed by pH 7.0, pH 2.5, and pH 8.5 (Figure 4B). Patulin production displayed similar biomass trend. The concentration of patulin significantly decreased when pH value was less than 5.0 or more than 7.0 (Figure 4C). The concentration of patulin was 90.4 µg mL−1 and 82.9µg mL−1 at pH 5.0 and 7.0, respectively, whereas it was found to decrease at pH 2.5 and pH 8.5, with the concentration of 52.3 µg mL −1 and 37.3 µg mL−1, respectively.

2.1.5. Effect of Ambient pH on Relative Expression of Genes Encoding Transcription Factors and Proteins Involved in Patulin Biosynthesis

There are about 55 gene clusters potentially relating to secondary metabolism and includes a cluster of 15 genes that is involved in patulin biosynthesis of P. expansum [13,14,15]. In this study, PepatE, PepatN, PepatL, PepatK, PepatG and PepatH were analyzed under different ambient pH conditions using RT-qPCR. The results showed enormous expression of genes at pH 5.0 followed by pH 7.0. It was also observed that PepatK and PepatH were less expressed at pH 7.0 and 8.5 than other genes expressed at the same pH; the different ambient pH showed significant effect on expression of investigated transcription factor genes. PepacC expression was very high at pH 5.0; similarly, high expression of PecreA and PelaeA was also observed at pH 5.0 (Figure 5).

2.2. Effect of Ambient pH on Pathogenicity Induced by P. expansum and Patulin Production In Vivo

Under different ambient pH, P. expansum was highly pathogenic to apple fruits at pH 5.0 and pH 7.0 (Figure 6 A,B). At 7 days, the result displayed an expanded lesion diameter measuring 4.5 cm at pH 5.0, followed by that of pH 7.0, which was 3.0 cm, while at pH 2.5 and pH 8.5, the lesion diameter was around 2.5 cm.
The concentration of patulin significantly increased with time of infection (Figure 6C). For the first three days, patulin production was highest at pH 7 (57 ug/g) fresh weight, then after 5 and 7 days, the highest patulin production was recorded at pH 5.0. For instance, at 7 days, the patulin inoculated apple fruits were 130 µg/g, thus was 1.62-fold and 1.86-fold higher than those of pH 2.5 and pH 8.5.

3. Discussion

According to literature, P. expansum is among the most ubiquitous fungi in apple fruits. Infected fruits and derived products are unwholesome to human health due to patulin contamination [16,17]. To effectively control mycotoxin contamination, it would be judicious to investigate environmental factors that affect P. expansum growth, patulin production, and expression of patulin biosynthesis associated genes.
In the present study, effect of different ambient pH on P. expansum growth and patulin synthesis (in vivo and in vitro) were studied. Furthermore, expressions of 6 genes involved in patulin biosynthesis, as well as 3 transcription factors (metabolic growth factors) were examined under same ambient pH. We found that, at pH 2.5 and 8.5, spore germination and germ tube length were significantly inhibited, whereas germination improved at pH 5.0 (Figure 1A–C). It has been reported that ambient pH can affect spore germination, secretome profile, and pathogenicity of plant fungal pathogens [18,19].
In addition, it was observed that growth factors of P. expansum markedly decreased under pH 2.5 and pH 8.5. After 7 days, colony diameter of P. expansum increased significantly at pH 5.0 and 7.0, but decreased significantly at pH 8.5 and 2.5 (Figure 2A,B). The effect of ambient pH on PDA diameter was found to have positive relationship with biomass. Biomass significantly increased in PDB medium at pH 5.0 and 7.0 compared to 2.5 and 8.5. The reason could be that strong acids or bases destroyed chromosomes and proteins’ DNA, thus inhibiting conidia growth. Tannous et al. [20] developed a mathematical model that facilitated estimation of P. expansum growth rate under temperature, water activity (AW), and pH. At 24 °C with pH of 5.1 and high Aw level of 0.99 W, an optimal growth rate of 0.92 cm per day was predicted [20]. Using TEM analysis, the structure of spores at different ambient pH was better understood. Spores under pH 5.0 were well-organized with homogenous cytoplasm, entire cell walls, and typical organelles. In contrast, at pH 7.0, 2.5, and 8.5, some damages were observed. At pH 8.5, the cells’ vacuole enlarged, indicating potential osmotic stress on P. expansum conidia caused by high basic environment; additionally, the cell wall was greatly destroyed (Figure 3B). Furthermore, apples inoculated with P. expansum spores adapted to different ambient pH and demonstrated reduced disease incidence at pH 2.5 and 8.5, but a higher disease incidence was observed at pH 5.0 and 7.0 (Figure 4A,B). The result showed that large amounts of patulin were produced (in vivo and in vitro) under acidic conditions (pH 2.5 and 5.0) more than under alkaline conditions (pH 8.5) (Figure 4C and Figure 6C). Earlier, it was demonstrated that patulin was more stable at a pH range of 2.5 to 5.5 than in a more basic pH [20,21]. In addition, a similar report on other mycotoxins such as aflatoxin, sterigmatocystin, and norsoloronic acid showed that their levels increased 5- to 10-fold in cultures grown at pH 5.0 or 4.0 compared to pH 8.0 [22]. Moreover, ochratoxin has been confirmed to be constant at pH ≤ 4 and significantly higher than those observed at pH ≥ 5 [23]. In many fungi, secondary metabolism is considered to be closely associated with sporulation [24,25]. In this study, it was found that patulin production (in vivo and in vitro) correlated with sporulation rate under different ambient pH. However, Calvo et al. [26] speculated that aflatoxin and sterigmatocystin production appears to be influenced by the growth medium’s pH. Studies on the effect of pH on these mycotoxins have shown complex and contradictory results. At pH 4.0 or below, in A. flavus, sclerotial production reduced by 50%, while aflatoxins production was maximum. Simultaneously, it was shown that A. nidulans and A. parasiticus produced less mycotoxin as pH of growth media increased.
The results also revealed a significant link between PepatL gene expression and other genes (PepatE, PepatN, PepatK, PepatG, and PepatH) at the same range of pH. This result is not surprising because earlier, PepatL was presented as a global transcription factor and its disruption led to reduced patulin production with sharp decrease in gene expression [27,28]. These genes (PepatE, PepatN, PepatK, PepatG, and PepatH) play crucial role in patulin biosynthesis. Their up-regulation at favorable pH (pH 5.0) directly correlates with patulin production. For example, PepatK codes for 6-methyl salicylic acid synthase (6MSAS) which is involved in the synthesis of 6-methyl salicylic acid at the first step of patulin biosynthesis, and PepatN codes for isoepoxydon dehydrogenase which catalyzes one of the last steps in the pathway [29]. This result can be supported by Ballester et al. [15], who demonstrated the inability of PEX2 strain of P. expansum to produce patulin due to significant down-expression of PepatK gene and progressive decrease in expression of PepatN and PepatL genes after the first days of inoculation.
Global transcription factors can be activators or repressors for genes facilitating secondary metabolite production depending on many environmental conditions. This result showed an up-regulation of PepacC, PecreA, and PelaeA in vivo at pH 5.0 (Figure 5). PepacC, previously described as pH-dependent transcription factor for patulin production, is an activator in acidic conditions but a repressor in an alkaline condition and required for mycelia growth and conidiation virulence in P. expansum [10]. It also plays a role in physiological functions such as growth, differentiation, and pathogenicity in several yeast and fungi through transcriptional activation and inhibition of genes [30]. In F. graminearum, the same trend was observed where all tri genes displayed rapid repression in response to neutralization concomitants with Fgpac1 induction [31]. The deletion mutant Fg∆Pac1 exhibited slower development in neutral and alkaline pH, enhanced sensitivity to H2O2, and facilitated earlier tri gene induction and toxin accumulation in acidic pH [31]. On the contrary, in A. nidulans and P. chrysogenum, pacC transcript levels were higher in alkaline than acidic growth conditions [32,33]. Previously it was reported that modification of pH from 2.5 to 3.5 increased patulin accumulation by 10-fold and PelaeA by 1.9-fold [34]. Loss of creA had profound effect on growth, sporulation, and germination of P. expansum. creA has been shown to express during biosynthesis of patulin, which is significantly affected by carbon source [35,36]. The results thus suggest that unfavorable conditions (pH 2.5 and 8.5) might decrease the ability of P. expansum to produce proteolytic enzyme or impaired the CCR pathway, which is driven by creA in filamentous fungi [36]. Our findings are consistent with a previous study which reported that, PecreA regulation of patulin production is independent of PelaeA [37].

4. Conclusions

In conclusion, the findings of this study revealed that various ambient pH has significant impact on growth factors and genes involved in patulin biosynthesis. Under the same range of pH, growth factors, gene expression profile, and patulin production (in vivo and in vitro) all showed similar results. A well-developed cell was observed in addition to upregulation of genes at pH between pH 5.0 and 7.0, while the opposite results were observed when pH was too basic (8.5) or too acid (2.5). Our results also showed that ambient pH has influence on expression of PecreaA, PelaeA, and PepacC. These findings will help to understand the effect of ambient pH on patulin production and support the development of successful methods for combating P. expansum attacks on apple crops.

5. Materials and Methods

5.1. Apple Fruits

Apple fruit (Malus Domestica) of the Fuji cultivar was purchased from Tiaoshan Farm in Jingtai County of Gansu Province in China, transported to the laboratory, and kept at ambient temperature (7–10 °C, relative humidity (RH) 70–80%). The fruits had uniform size without any infection or mechanical injuries. The apple fruits were washed twice with running water from tap, then surface-sterilized by immersing in 2% NaClO for 2 min, washed with sterile distilled water, and finally dried by air according to the method described by Sanzani et al. [38].

5.2. Fungal Strain and Basal Medium Preparation

Penicillium. expansum T01 was provided by the Institute of Botany, Chinese Academy of Sciences. The fungus was routinely cultured on potato dextrose agar (PDA) plate for 7 days at 25 °C. Subsequently, the culture was collected to prepare spore suspension using sterile distilled water and 0.05% (v/v) Tween 80. The spore suspension was filtered with four layers of sterile cheesecloth, and concentration of the spore suspension was adjusted to 1 × 106 spore mL−1 according to the method of Qin et al. [39]. Potato dextrose broth (PDB) medium was prepared and buffered with 0.2 M Na2HPO4·12H2O and 0.1 M C6H8O·7H2O while the pH was adjusted to 2.5, 5.0, 7.0, and 8.5, respectively, by using pH meter.

5.3. Studies on the Effect of Ambient pH on Growth Factors of P. expansum In Vitro

5.3.1. Studies on the Effect of Ambient pH on Spore Germination and Germ Tube Elongation of P. expansum

Aliquots of 1 mL of spore suspension were added to 100 mL pH-adjusted PDB media in 250 mL conical flasks to a final concentration of 1 × 106 spore mL−1 and cultured at 25 °C on a rotary shaker at 200 rpm. After incubation for 8, 10, and 12 h, the germination rate of approximately 100 spores was calculated microscopically for each treatment. Then, the length of the germ tube of 65 spores per treatment was measured at the same period. Three replicates were performed for each treatment, and the experiment was repeated twice.

5.3.2. Studies on the Effect of Ambient pH on Colony Diameter and Colony Edges of P. expansum

To illustrate the effect of pH on colony diameter of P. expansum, agar powder was added to 250 mL of buffered PDB media (3.5% was added to the PDB media buffered at pH 2.5 while 2% of agar powder was added to the PDB media buffered at pH 5.0, 7.0 and 8.5) in order to obtain a solid medium (PDA). After sterilization, the PDA was poured into Petri dishes, and then 5 µL of spore suspension (1 × 106 spore mL−1) was added onto the center of the solidified PDA plates and cultured for 8 days at 25 °C [9]. The colony diameter was measured each day for 8 days, and colony edges were observed under light microscope. Each experiment was performed in triplicates and repeated three times.

5.3.3. Studies on the Effect of Ambient pH on Ultrastructural Alteration of P. expansum

After 7 days of culturing P. expansum on PDA at 25 °C, conidia were harvested and suspended in PDB media adjusted at different pH in 250 mL flask to a final concentration of 107 spore mL−1. After incubation at 25 °C at 120 rpm for 7 days, in a rotary shaker, mycelia were obtained by filtering, and then fixed with 2% glutaraldehyde, followed by washing, dehydrating, through different solutions of acetone-ethanol, and finally incorporated in epoxy medium. The mycelia were observed and photographic images were captured under transmission electron microscope (TEM H-7650 Hitachi, Tokyo, Japan). Each experiment was performed in triplicates and repeated three times.

5.3.4. Studies on the Effect of Ambient pH on Sporulation, Mycelia Biomass and Patulin Production

Determination of sporulation was according to the method of Zhen et al. [9] with slight modification. P. expansum was cultured on pH-adjusted PDA for 4 and 8 days, and 40 mL of distilled water with 0.05 % (v/v) tween 80 was used to wash the Petri dishes, and then transferred into 50 mL tubes. To get conidiophores from conidia, the tubes were oscillated at the speed of 600 oscillations per min. Haemocytometer was used to determine sporulation. Each experiment was performed in triplicates and repeated three times.
The mycelia biomass of P. expansum was evaluated in PDB medium at different pH values after 8 days. Mycelium was cultured in a pH-adjusted PDB medium, then filtered through whatman paper, and dried in an oven at 60 °C. Subsequently, mycelia dry weight was determined using analytical balance. At the same time, the supernatant was filtered through a 0.45 µm filter for patulin content determination. High-performance chromatography analysis (HPLC) method was used with slight modification of the mobile phase [40] for patulin content determination. Then, 10 μL of the extract was injected into a liquid chromatography machine (Waters Corp., Milford, MA, USA) equipped with an autosampler (Waters 2707), binary HPLC pump (Waters 1525), and a UV/Visible Detector (Waters 2487) using a C18 column (5 μm, 250 × 4.6 mm, Intersil ODS-3, GL Sciences, Tokyo, Japan). The modified mobile phase consisted of a mixture of water and acetonitrile (90: 10, v/v) at 1 mL/min flow rate in isocratic elution mode with 276 nm detection wavelength.

5.3.5. Studies on the Effect of Ambient pH on Expression of Genes Involved in Patulin Biosynthesis In Vitro

Primer Design and Total RNA Extraction

Primers for initial screening of PepatE, PepatN, PepatL, PepatK, PepatG, PepatH, PecreA, PelaeA, PepacC, and β-tubulin genes were designed with premier primer 6 software and synthesized. According to the manufacturer’s instructions, total RNA was extracted from 0.1 g aliquots of mycelia sample using Trizol reagent (Tiangen Biotech, Beijing, China). Briefly, Trizol reagent was added to minced tissues (0.1 g) and incubated on ice for 5 min to obtain RNA pellets. Reverse transcription of RNA into cDNA was performed using standard reverse-transcription polymerase chain reaction (RT-PCR) protocol from PrimeScript RT reagent Kit plus gDNA Eraser (Perfect Real Time, TaKaRa, Dalian, China). The synthesized cDNA was stored at −80 °C for RT-qPCR experiments. Detailed information on RT-qPCR primers is presented in Table 1.

RT-qPCR and Relative mRNA Expression Analysis

The mRNA expression levels of PepatE, PepatN, PepatL, patK, patG, patH, PecreA, PelaeA, and PepacC were compared between pH of 2.5, 5.0, 7.0, and 8.5. All primers showed similar PCR efficiency. Total cDNA in a 20 μL reaction volume was analyzed in an ABI Step One Plus Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) using SYBR Premix Ex Taq TM (Tli RNaseH Plus) quantitative fluorescence kit (TaKaRa, Dalian, China) and 10 μM of reverse and forward primers each. The reaction volume also contained 10 μL of SYBR Premix Ex TaqTM, 0.4 μL of each primer, 0.4 μL of ROX Reference Dye, 2 μL of cDNA, and 6.8 μL of RNase-free water. PCR reaction was first performed at 95 °C for 3 min, and then followed by 40 cycles at 95 °C for 7 s, subsequently 55 °C for 10 s; finally, 72 °C for 15 s. β-tubulin was used as an internal control to normalize the amount and quality of each cDNA. The relative expression of target genes was calculated by the 2−ΔΔCt method [41]. All RT-qPCRs were run in triplicates and repeated three times.

5.3.6. Studies on the Effect of Ambient pH on Pathogenicity and Patulin Accumulation in Apple Fruits Inoculated with P. expansum In Vivo

The experiment was performed according to methods described by Xue et al. [42] with slight modification. Three (3) groups of apple fruits each containing 60 apples were inoculated with P. expansum; After sterilization of apple fruits, holes (2 mm in diameter and 6 mm in depth) were created aseptically on each fruit’s equator by using sterilized pipette tips, each hole was inoculated with 5 µL of spore suspension (1 × 105) prepared with distilled water adjusted at different pH levels. The inoculated fruits were kept on a clean and sterilized plastic box (25 ± 2 °C; RH 70–75%). In order to maintain the pH value at inoculation site, from start of inoculation to the end of sampling time, a sterile 0.2 M Na2HPO4·12H2O and 0.1 M C6H8O·7H2O buffer solution at pH 2.5, pH 5.0, pH 7, and pH 8.5 was injected into the inoculation wells at 12 h intervals. The lesion diameter was measured after inoculation at 3, 5, and 7 days. Subsequently, the rotten tissues were separately excised from each fruit and immediately stored at −80 °C for patulin analysis. The extraction and determination of patulin were performed according to Zong et al. [5]. The experiment was performed in triplicates, with 180 fruits for each replication.

5.4. Statistical Analysis

Statistical analysis was carried out using SPSS version 17.0 (SPSS, Inc., Chicago, IL, USA). The data were analyzed with one-way analysis of variance (ANOVA) and Duncan’s multiple range test. Data were expressed as standard error (SE) of the mean and differences at p < 0.05 were considered statistically significant.

Author Contributions

Conceptualization, H.X.; methodology, C.K.J., R.Z., Q.L. and L.L.; software, C.K.J.; validation, H.X., Y.B. and L.P.; formal analysis, C.K.J., H.X., R.Z.; investigation, C.K.J., R.Z., Q.L. and L.L.; resources, H.X., Y.B., M.N. and L.P.; data curation, C.K.J. and H.X.; writing—original draft preparation, C.K.J.; writing—review and editing, C.K.J. and H.X.; visualization, C.K.J., R.Z., L.L. and H.X.; supervision, H.X.; project administration, H.X.; funding acquisition, H.X. and Y.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Natural Science Foundation of China (32060566) and (31560475) and the Ministry of Science and Technology of China (2016YFD0400902).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest relating to this work.

References

  1. Tannous, J.; Barda, O.; Luciano-Rosario, D.; Prusky, D.B.; Sionov, E.; Keller, N.P. New Insight Into Pathogenicity and Secondary Metabolism of the Plant Pathogen Penicillium expansum Through Deletion of the Epigenetic Reader SntB. Front. Microbiol. 2020, 11, 610. [Google Scholar] [CrossRef] [Green Version]
  2. Lai, T.; Chen, Y.; Li, B.; Qin, G.; Tian, S. Mechanism of Penicillium expansum in Response to Exogenous Nitric Oxide Based on Proteomics Analysis. J. Proteom. 2014, 103, 47–56. [Google Scholar] [CrossRef] [PubMed]
  3. European Commission. Commission Regulation (EC) No 1881/2006 of 19 December 2006 setting maximum levels for certain contaminants in foodstuffs. Off. J. Eur. Union 2006, 364, 5–24. [Google Scholar]
  4. Manteau, S.; Abouna, S.; Lambert, B.; Legendre, L. Differential Regulation by Ambient PH of Putative Virulence Factor Secretion by the Phytopathogenic Fungus Botrytis Cinerea. FEMS Microbiol. Ecol. 2003, 43, 359–366. [Google Scholar] [CrossRef]
  5. Zong, Y.; Li, B.; Tian, S. Effects of Carbon, Nitrogen and Ambient PH on Patulin Production and Related Gene Expression in Penicillium expansum. Int. J. Food Microbiol. 2015, 206, 102–108. [Google Scholar] [CrossRef]
  6. Damoglou, A.P.; Campbell, D.S. The Effect of PH on the Production of Patulin in Apple Juice. Lett. Appl. Microbiol. 1986, 2, 9–11. [Google Scholar] [CrossRef]
  7. Hadas, Y.; Goldberg, I.; Pines, O.; Prusky, D. Involvement of Gluconic Acid and Glucose Oxidase in the Pathogenicity of Penicillium expansum in Apples. Phytopathology 2007, 97, 384–390. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Prusky, D.; McEvoy, J.L.; Saftner, R.; Conway, W.S.; Jones, R. Relationship Between Host Acidification and Virulence of Penicillium Spp. on Apple and Citrus Fruit. Phytopathology 2004, 94, 44–51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Zhen, W.; Chun, Y.W.; Yun, B.W.; Jian, J.X.; Zheng, L.; Jing, J.L.; Li, G.G.; Chang, K.S. Effect of Different pH Values on Growth and Sporulation of Estye Vermicola. Afr. J. Microbiol. Res. 2013, 7, 3217–3221. [Google Scholar] [CrossRef] [Green Version]
  10. Chen, Y.; Li, B.; Xu, X.; Zhang, Z.; Tian, S. The PH-Responsive PacC Transcription Factor Plays Pivotal Roles in Virulence and Patulin Biosynthesis in Penicillium expansum: Functional Characterization of PePacC. Environ. Microbiol. 2018, 20, 4063–4078. [Google Scholar] [CrossRef]
  11. Peñalva, M.A.; Arst, H.N. Regulation of Gene Expression by Ambient pH in Filamentous Fungi and Yeasts. Microbiol. Mol. Biol. Rev. 2002, 66, 426–446. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Peñalva, M.A.; Tilburn, J.; Bignell, E.; Arst, H.N. Ambient pH Gene Regulation in Fungi: Making Connections. Trends Microbiol. 2008, 16, 291–300. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Li, B.; Zong, Y.; Du, Z.; Chen, Y.; Zhang, Z.; Qin, G.; Zhao, W.; Tian, S. Genomic Characterization Reveals Insights Into Patulin Biosynthesis and Pathogenicity in Penicillium Species. Mol. Plant-Microbe Interact. 2015, 28, 635–647. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Tannous, J.; El Khoury, R.; Snini, S.P.; Lippi, Y.; El Khoury, A.; Atoui, A.; Lteif, R.; Oswald, I.P.; Puel, O. Sequencing, Physical Organization and Kinetic Expression of the Patulin Biosynthetic Gene Cluster from Penicillium expansum. Int. J. Food Microbiol. 2014, 189, 51–60. [Google Scholar] [CrossRef] [PubMed]
  15. Ballester, A.-R.; Marcet-Houben, M.; Levin, E.; Sela, N.; Selma-Lázaro, C.; Carmona, L.; Wisniewski, M.; Droby, S.; González-Candelas, L.; Gabaldón, T. Genome, Transcriptome, and Functional Analyses of Penicillium expansum Provide New Insights into Secondary Metabolism and Pathogenicity. Mol. Plant-Microbe Interact. 2015, 28, 232–248. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Morales, H.; Marín, S.; Ramos, A.J.; Sanchis, V. Influence of Post-Harvest Technologies Applied during Cold Storage of Apples in Penicillium expansum Growth and Patulin Accumulation: A Review. Food Control 2010, 21, 953–962. [Google Scholar] [CrossRef]
  17. Zhou, T.; Wang, X.; Luo, J.; Ye, B.; Zhou, Y.; Zhou, L.; Lai, T. Identification of Differentially Expressed Genes Involved in Spore Germination of Penicillium expansum by Comparative Transcriptome and Proteome Approaches. Microbiologyopen 2018, 3, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Chan, Z. Proteomic Responses of Fruits to Environmental Stresses. Front. Plant Sci. 2013, 3, 311. [Google Scholar] [CrossRef] [Green Version]
  19. Li, B.; Lai, T.; Qin, G.; Tian, S. Ambient pH Stress Inhibits Spore Germination of Penicillium expansum by Impairing Protein Synthesis and Folding: A Proteomic-Based Study. J. Proteome Res. 2010, 9, 298–307. [Google Scholar] [CrossRef]
  20. Tannous, J.; Atoui, A.; El Khoury, A.; Francis, Z.; Oswald, I.P.; Puel, O.; Lteif, R. A Study on the Physicochemical Parameters forPenicillium expansum Growth and Patulin Production: Effect of Temperature, pH, and Water Activity. Food Sci. Nutr. 2016, 4, 611–622. [Google Scholar] [CrossRef] [Green Version]
  21. Morales, H.; Barros, G.; Marín, S.; Chulze, S.; Ramos, A.J.; Sanchis, V. Effects of Apple and Pear Varieties and pH on Patulin Accumulation by Penicillium expansum. J. Sci. Food Agric. 2008, 88, 2738–2743. [Google Scholar] [CrossRef]
  22. Keller, N.P.; Nesbitt, C.; Sarr, B.; Phillips, T.D.; Burow, G.B. pH Regulation of Sterigmatocystin and Aflatoxin Biosynthesis in Aspergillus Spp. Phytopathology 1997, 87, 643–648. [Google Scholar] [CrossRef] [Green Version]
  23. Avantaggiato, G.; Greco, D.; Damascelli, A.; Solfrizzo, M.; Visconti, A. Assessment of Multi-Mycotoxin Adsorption Efficacy of Grape Pomace. J. Agric. Food Chem. 2014, 62, 497–507. [Google Scholar] [CrossRef] [PubMed]
  24. Bu’Lock, J.D. Intermediary Metabolism and Antibiotic Synthesis. In Advances in Applied Microbiology; Elsevier: Amsterdam, The Netherlands, 1961; Volume 3, pp. 293–342. ISBN 978-0-12-002603-6. [Google Scholar]
  25. Sekiguchi, J.; Gaucher, G.M. Conidiogenesis and Secondary Metabolism in Penicillium Urticae. Appl. Environ. Microbiol. 1977, 33, 147–158. [Google Scholar] [CrossRef] [Green Version]
  26. Calvo, A.M.; Wilson, R.A.; Bok, J.W.; Keller, N.P. Relationship between Secondary Metabolism and Fungal Development. Microbiol. Mol. Biol. Rev. 2002, 66, 447–459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Li, B.; Chen, Y.; Zong, Y.; Shang, Y.; Zhang, Z.; Xu, X.; Wang, X.; Long, M.; Tian, S. Dissection of Patulin Biosynthesis, Spatial Control and Regulation Mechanism in Penicillium expansum. Environ. Microbiol. 2019, 21, 1124–1139. [Google Scholar] [CrossRef] [PubMed]
  28. Snini, S.P.; Tannous, J.; Heuillard, P.; Bailly, S.; Lippi, Y.; Zehraoui, E.; Barreau, C.; Oswald, I.P.; Puel, O. Patulin Is a Cultivar-Dependent Aggressiveness Factor Favouring the Colonization of Apples by Enicillium Expansum: Patulin is an Aggressiveness Factor. Mol. Plant Pathol. 2016, 17, 920–930. [Google Scholar] [CrossRef]
  29. White, S.; O’Callaghan, J.; Dobson, A.D.W. Cloning and Molecular Characterization of Penicillium expansum Genes Upregulated under Conditions Permissive for Patulin Biosynthesis. FEMS Microbiol. Lett. 2006, 255, 17–26. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Peñalva, M.A.; Arst, J.H.N. Recent Advances in the Characterization of Ambient pH Regulation of Gene Expression in Filamentous Fungi and Yeasts. Annu. Rev. Microbiol. 2004, 58, 425–451. [Google Scholar] [CrossRef]
  31. Merhej, J.; Richard-Forget, F.; Barreau, C. The PH Regulatory Factor Pac1 Regulates Tri Gene Expression and Trichothecene Production in Fusarium Graminearum. Fungal Genet. Biol. 2011, 48, 275–284. [Google Scholar] [CrossRef]
  32. Mingot, J.M.; Espeso, E.A.; Díez, E.; Peñalva, M. Ambient pH Signaling Regulates Nuclear Localization of the Aspergillus nidulans PacC Transcription Factor. Mol. Cell. Biol. 2001, 21, 1688–1699. [Google Scholar] [CrossRef] [Green Version]
  33. Suárez, T.; Peñalva, M.A. Characterization of a Penicillium chrysogenum Gene Encoding a PacC Transcription Factor and Its Binding Sites in the Divergent PcbAB–PcbC Promoter of the Penicillin Biosynthetic Cluster. Mol. Microbiol. 1996, 20, 529–540. [Google Scholar] [CrossRef] [PubMed]
  34. Kumar, D.; Tannous, J.; Sionov, E.; Keller, N.; Prusky, D. Apple Intrinsic Factors Modulating the Global Regulator, LaeA, the Patulin Gene Cluster and Patulin Accumulation During Fruit Colonization by Penicillium expansum. Front. Plant Sci. 2018, 9, 1094. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Barad, S.; Sionov, E.; Prusky, D. Role of Patulin in Post-Harvest Diseases. Fungal Biol. Rev. 2016, 30, 24–32. [Google Scholar] [CrossRef]
  36. Dowzer, C.E.A.; Kelly, J.M. Cloning of the CreA Gene from Aspergillus nidulans: A Gene Involved in Carbon Catabolite Repression. Curr. Genet. 1989, 15, 457–459. [Google Scholar] [CrossRef]
  37. Tannous, J.; Kumar, D.; Sela, N.; Sionov, E.; Prusky, D.; Keller, N.P. Fungal Attack and Host Defence Pathways Unveiled in Near-Avirulent Interactions of Penicillium expansum CreA Mutants on Apples: Fungal Attack and Host Defense Pathways. Mol. Plant Pathol. 2018, 19, 2635–2650. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Sanzani, S.M.; Reverberi, M.; Punelli, M.; Ippolito, A.; Fanelli, C. Study on the Role of Patulin on Pathogenicity and Virulence of Penicillium expansum. Int. J. Food Microbiol. 2012, 153, 323–331. [Google Scholar] [CrossRef]
  39. Qin, G.; Tian, S.; Chan, Z.; Li, B. Crucial Role of Antioxidant Proteins and Hydrolytic Enzymes in Pathogenicity of Penicillium expansum. Mol. Cell. Proteom. 2007, 6, 425–438. [Google Scholar] [CrossRef] [Green Version]
  40. Macdonald, S.; Long, M.; Gilbert, J.; Felgueiras, I. Liquid chromatographic method for determination of patulin in clear and cloudy apple juices and apple puree: Collaborative study. J. AOAC Int. 2000, 83, 1387–1394. [Google Scholar]
  41. Livak, K.J.; Schmittgen, T.D. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  42. Xue, H.; Bi, Y.; Wei, J.; Tang, Y.; Zhao, Y.; Wang, Y. New Method for the Simultaneous Analysis of Types A and B Trichothecenes by Ultrahigh-Performance Liquid Chromatography Coupled with Tandem Mass Spectrometry in Potato Tubers Inoculated with Fusarium sulphureum. J. Agric. Food Chem. 2013, 61, 9333–9338. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Effect of ambient pH on the growth of P. expansum. (A) Spore germination, (B,C): Germ tube length. The lower-case letters indicate significant difference at p < 0.05 at each point.
Figure 1. Effect of ambient pH on the growth of P. expansum. (A) Spore germination, (B,C): Germ tube length. The lower-case letters indicate significant difference at p < 0.05 at each point.
Toxins 13 00550 g001
Figure 2. Effect of different ambient pH on P. expansum. (A) Colony diameter of P. expansum for 8 days at 25 °C on PDA adjusted at different pH. (B) Statistical data for P. expansum colony diameter. (C) Colony edges were observed under light microscope. The lower-case letters indicate significant difference at p < 0.05 at each point.
Figure 2. Effect of different ambient pH on P. expansum. (A) Colony diameter of P. expansum for 8 days at 25 °C on PDA adjusted at different pH. (B) Statistical data for P. expansum colony diameter. (C) Colony edges were observed under light microscope. The lower-case letters indicate significant difference at p < 0.05 at each point.
Toxins 13 00550 g002
Figure 3. TEM observation of P. expansum under different ambient pH treatments. This was repeated three times, and at least two blocks were detected for each replicate. Va, vacuole; CW, cell wall; Cy, cytoplasm; N, nucleus. (A) pH = 5.0, (B) pH = 8.5, (C) pH = 2.5, (D) pH = 7.0.
Figure 3. TEM observation of P. expansum under different ambient pH treatments. This was repeated three times, and at least two blocks were detected for each replicate. Va, vacuole; CW, cell wall; Cy, cytoplasm; N, nucleus. (A) pH = 5.0, (B) pH = 8.5, (C) pH = 2.5, (D) pH = 7.0.
Toxins 13 00550 g003
Figure 4. Effect of ambient pH on sporulation rate, mycelia biomass, and patulin production. (A) Sporulation rate; (B) Mycelia dry weight; (C) Patulin production. The lower-case letters indicate significant difference at p < 0.05 at each point.
Figure 4. Effect of ambient pH on sporulation rate, mycelia biomass, and patulin production. (A) Sporulation rate; (B) Mycelia dry weight; (C) Patulin production. The lower-case letters indicate significant difference at p < 0.05 at each point.
Toxins 13 00550 g004
Figure 5. Expression of genes potentially involved in patulin biosynthesis of P. expansum on media buffered at different ambient pH. Data were analyzed by the 2−ΔΔCt method, and normalized using β-tubulin housekeeping gene. The lower-case letters indicate significant difference at p < 0.05 at each point.
Figure 5. Expression of genes potentially involved in patulin biosynthesis of P. expansum on media buffered at different ambient pH. Data were analyzed by the 2−ΔΔCt method, and normalized using β-tubulin housekeeping gene. The lower-case letters indicate significant difference at p < 0.05 at each point.
Toxins 13 00550 g005
Figure 6. Effect of ambient pH on pathogenicity induced by P. expansum in apples; (A) Lesion diameter; (B) Disease symptoms on apple fruits; (C) Patulin production using rotten apple parts. Lower case letters indicate significant difference at p < 0.05 at each point.
Figure 6. Effect of ambient pH on pathogenicity induced by P. expansum in apples; (A) Lesion diameter; (B) Disease symptoms on apple fruits; (C) Patulin production using rotten apple parts. Lower case letters indicate significant difference at p < 0.05 at each point.
Toxins 13 00550 g006
Table 1. Information on RT-qPCR primers.
Table 1. Information on RT-qPCR primers.
GenePrimer Sequences (5’-3’)
PepatEF: CATTCTCATCGGGCCTGAGT
R: TCGAAGCTCTTCCGGACATG
PepatNF: CGTTCGATGTCGCTAGCAAA
R: GGCGATAATCACGTCAATTCG
PepatLF: GCAGGAGATCCGTTTCAGACA
R: CCACTGACCGACGGTTACAAC
PepatKF: GACGCTGGGCTACTGGATTG
R: TCGTGCGTGAGGCCAGTAT
PepatGF: CGGCCGTCTTGAAGGAAAT
R: CTTGCCGTAGCGGGTGAATA
PepatHF: CATTTATCGGCGGTGTTCTGA
R: GATCAACGCTTGCACGATAGC
PecreaAF: CGATACTTCGCCCGACTCA
R: TGAGAGGCGGTAGCAAGCTAA
PelaeAF: CCCGAGAAATACCCGAATCA
R: TCACACGGAAGCGGGTAGAT
PepacCF: TGAGGCTGGTACTGCCGAAT
R: CAACTCCTTCCATGGCATCA
β-tubulinF: CTCCAGCTCGAGCGTATGAA
R: GGCTCCAAATCGACGAGAAC
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Jimdjio, C.K.; Xue, H.; Bi, Y.; Nan, M.; Li, L.; Zhang, R.; Liu, Q.; Pu, L. Effect of Ambient pH on Growth, Pathogenicity, and Patulin Production of Penicillium expansum. Toxins 2021, 13, 550. https://0-doi-org.brum.beds.ac.uk/10.3390/toxins13080550

AMA Style

Jimdjio CK, Xue H, Bi Y, Nan M, Li L, Zhang R, Liu Q, Pu L. Effect of Ambient pH on Growth, Pathogenicity, and Patulin Production of Penicillium expansum. Toxins. 2021; 13(8):550. https://0-doi-org.brum.beds.ac.uk/10.3390/toxins13080550

Chicago/Turabian Style

Jimdjio, Carelle Kouasseu, Huali Xue, Yang Bi, Mina Nan, Lan Li, Rui Zhang, Qili Liu, and Lumei Pu. 2021. "Effect of Ambient pH on Growth, Pathogenicity, and Patulin Production of Penicillium expansum" Toxins 13, no. 8: 550. https://0-doi-org.brum.beds.ac.uk/10.3390/toxins13080550

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop