Next Article in Journal
Identification of Transcription Factors and the Regulatory Genes Involved in Triacylglycerol Accumulation in the Unicellular Red Alga Cyanidioschyzon merolae
Next Article in Special Issue
Explore the Rare—Molecular Identification and Wine Evaluation of Two Autochthonous Greek Varieties: “Karnachalades” and “Bogialamades”
Previous Article in Journal
Citral-Containing Essential Oils as Potential Tyrosinase Inhibitors: A Bio-Guided Fractionation Approach
Previous Article in Special Issue
Ethephon Activates the Transcription of Senescence-Associated Genes and Nitrogen Mobilization in Grapevine Leaves (Vitis vinifera cv. Riesling)
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Plants
Volume 10
Issue 5
10.3390/plants10050970
plants-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Towards Biological Control of Aspergillus carbonarius and Botrytis cinerea in Grapevine Berries and Transcriptomic Changes of Genes Encoding Pathogenesis-Related (PR) Proteins

by
Danai Gkizi
,
Eirini G. Poulaki
and
Sotirios E. Tjamos
*
Laboratory of Plant Pathology, Agricultural University of Athens, 75 Iera Odos Str., 11855 Athens, Greece
*
Author to whom correspondence should be addressed.
Plants 2021, 10(5), 970; https://doi.org/10.3390/plants10050970
Submission received: 30 March 2021 / Revised: 9 May 2021 / Accepted: 10 May 2021 / Published: 13 May 2021
(This article belongs to the Special Issue Grapevine Responses to Environmental Challenges)
Browse Figures
Versions Notes

Abstract

:
Grapevine bunch rot, caused by Botrytis cinerea and Aspergillus carbonarius, causes important economic losses every year in grape production. In the present study, we examined the plant protective activity of the biological control agents, Paenibacillus alvei K165, Blastobotrys sp. FP12 and Arthrobacter sp. FP15 against B. cinerea and A. carbonarius on grapes. The in vitro experiments showed that strain K165 significantly reduced the growth of both fungi, while FP15 restricted the growth of A. carbonarius and FP12 was ineffective. Following the in vitro experiments, we conducted in planta experiments on grape berries. It was shown that K165, FP12 and FP15 reduced A. carbonarius rot severity by 81%, 57% and 37%, respectively, compared to the control, whereas, in the case of B. cinerea, the only protective treatment was that with K165, which reduced rot by 75%. The transcriptomic analysis of the genes encoding the pathogenesis-related proteins PR2, PR3, PR4 and PR5 indicates the activation of multiple defense responses involved in the biocontrol activity of the examined biocontrol agents.

1. Introduction

Bunch rot of grape berries is caused by several pathogens such as Botrytis cinerea, several species of Aspergillus, Penicillium and Colletotrichum [1]; however, it is held that B. cinerea and A. carbonarius are the most significant. Grape berries are more prone to bunch rot at the ripening stage [2], when the use of fungicides is subject to increasing limitations for the avoidance of chemical residues in grapes and wines [3]. Therefore, bunch rot pathogens result in important economic losses to the producers, also affecting the quality of the wine [1]. The fact that B. cinerea, the major bunch rot causing pathogen in grape berries, is notorious for its ability to become resistant to fungicide treatments [4], in combination with the necessity to minimize the negative effects of pesticides on the environment, has led to an increasing interest in developing biocontrol-based disease management strategies [5,6]. In addition, A. carbonarius (Bainier) Thom, causing sour rot, is among the predominant aspergilli in vineyards in several countries and, although it is a secondary invader, it is the major source of ochratoxin A in grapes [7,8,9], a mycotoxin with nephrotoxic, carcinogenic, teratogenic and immunosuppressive properties [10].
Even if a number of studies have been devoted to the biological control of B. cinerea and A. carbonarius in grapes, only the studies of Cordero et al. [11] and Diguta et al. [12] have identified microorganisms protecting grapes against both pathogens, reducing the disease severity by 50% [11] and 75% [12]. In the study of Cordero et al. [11], a strain of Pichia kluyveri was used to protect grapes against A. carbonarius and B. cinerea and Diguta et al. [12] reported the efficacy of two bacterial strains in reducing the decay incidence of grapes caused by the two pathogens. The mode of action of biocontrol agents against B. cinerea and A. carbonarius on grapes has been mainly attributed to antibiosis and competition for space and/or nutrients [11,12].
In the present study, we investigated whether the biocontrol agents Paenibacillus alvei K165, Arthrobacter sp. FP15 and Blastobotrys sp. FP12 can protect grape berries against B. cinerea and A. carbonarius. Previous studies have shown that strain K165 can protect plants from various soil-inhabiting pathogens such as Verticillium dahliae, Fusarium oxysporum f.sp. melonis, and Pythium ultimum, reducing disease severity by 50% compared with controls [13,14,15]. The plant protective activity of K165 lies mostly in its plant recognition by the FLS2 receptor and the subsequent induction of systemic resistance [16]. The FP12 and FP15 have been isolated from a V. dahliae suppressive compost [17] and previous studies have shown their plant protective activity against V. dahliae, Rhizoctonia solani and Sclerotinia sclerotiorum [17,18]. In these studies, the FP12 and FP15 strains reduced disease severity by 20% compared with controls [17,18]. The broad-spectrum activity of K165, FP12 and FP15 was the initiative used in our study to examine their activity against plant pathogens infecting the grape berries as pre- or post-harvest diseases. The aims of the study were to assess the biocontrol activity of K165, FP12 and FP15 in vitro and in planta against B. cinerea and A. carbonarius and investigate the defense triggering activity of the examined biocontrol agents against both pathogens, by following over time the expression of the genes encoding the pathogenesis-related (PR) proteins PR2, PR3, PR4 and PR5.

2. Results

2.1. Biocontrol Efficacy of K165, FP12 and FP15 against B. cinerea and A. carbonarius

The biocontrol efficacy of the examined biocontrol agents against A. carbonarius and B. cinerea was first evaluated in vitro, on potato dextrose agar (PDA) plates. The efficacy of K165 to inhibit the growth of both pathogens by 50% compared to the control was observed (Figure 1). On the other hand, the growth of A. carbonarius and B. cinerea was not affected by FP12, while FP15 reduced the growth of A. carbonarius but not of B. cinerea. Therefore, K165 produces metabolites with antibiotic activity against A. carbonarius and B. cinerea, as also happens for FP15 against A. carbonarius.
Following the in vitro experiments, we evaluated the efficacy of K165, FP12 and FP15 against A. carbonarius and B. cinerea on grape berries, collected at harvest time, of the red cultivar Fraoula, which is susceptible to both pathogens. The berries were immersed in a suspension of the examined biocontrol agents and after 2 days were puncture inoculated with each of the pathogens. At 7 days post pathogen inoculation (dpi), we recorded the growth of both pathogens in each treatment, by Image J. It was observed that K165 inhibited the growth of B. cinerea and A. carbonarius by 65% and 81%, respectively, compared with the controls (Figure 2). The strains FP12 and FP15 reduced the growth of A. carbonarius by 57% and 28%, respectively, compared to controls, but they were ineffective against B. cinerea. Therefore, the in planta results are partially consistent with the in vitro results, since the FP12 and FP15 strains reduced the in planta growth of A. carbonarius, in contrast to the in vitro data. The strain K165 had the most pronounced action against both pathogens, since it was the only effective biocontrol agent against B. cinerea and reduced the growth of A. carbonarius more than FP12 and FP15.

2.2. Transcriptomic Changes of PR2, PR3, PR4 and PR5

Following the in planta experiments, we questioned whether K165, FP12 and FP15 interfere with the defense mechanism of grapes. For this purpose, we examined the transcriptomic changes of PR2, PR3, PR4 and PR5, after K165, FP12, FP15 and/or A. carbonarius and B. cinerea inoculation.
Upon A. carbonarius infection, the K165 pretreated grapes showed the highest PR2 levels among the different treatments, at 1 and 3 dpi (Figure 3a). Nevertheless, the expression of PR2 in the FP12/A. carbonarius and FP15/A. carbonarius treatments was higher than the control, at both time points (Figure 3a). The expression of PR3 and PR4 in the biocontrol treated grapes was initially similar to the control at 1 dpi and higher than the control at 3 dpi (Figure 3b,c). In respect to the mock treatment, the PR3 was downregulated in all treatments at 1 and 3 dpi, except of the K165/A. carbonarius treatment at 3 dpi (Figure 3b). On the other hand, PR4 was downregulated in all treatments at 1 dpi and significantly overexpressed in the biocontrol treated grapes at 3 dpi (Figure 3c). The PR5 was downregulated in all treatments; however, the expression of PR5 in the K165/A. carbonarius treatment was higher than the control at both time points (Figure 3d), while the expression of PR5 was higher in the FP12/A. carbonarius and FP15/A. carbonarius treatments compared with the control at 1 dpi and 3 dpi, respectively (Figure 3d).
Upon B. cinerea infection, the expression of PR2 was upregulated in the K165 pretreated grapes at 1 and 3 dpi (Figure 4a), as was also observed for PR3, PR4 and PR5 at 3 dpi (Figure 4b–d). In the case of the FP12 and FP15 pretreated grapes, the expression of PR2 was similar to the mock at 1 and 3 dpi (Figure 4a), whereas the expression of PR3 and PR5 was downregulated at both time points (Figure 4b,d) and PR4 expression was downregulated at 1 dpi and upregulated at 3 dpi (Figure 4c). Overall, the application of K165 caused significant higher expression levels of PR2 upon Botrytis infection, compared to the other treatments, at 1 and 3 dpi (Figure 4a). Therefore, PR2 may have a role in the K165 mediated protection of grapes against B. cinerea. Additionally, a synergistic role of PR3 and PR5 with PR2 at the later stages of the infection cannot be excluded, since the highest expression levels of PR3 and PR5 were detected in the K165/B. cinerea treatment, at 3 dpi (Figure 4b,d).

3. Discussion

Biological control is the most appealing disease management strategy, if not the only one, for pathogens appearing close to harvest, due to the legislation for maximum residue levels. In parallel, the increasing problem of pesticide resistance poses a considerable threat for agriculture production and makes the development of biocontrol-based disease management strategies a way of no return. Having had research data showing the broad-spectrum plant protective activity of the biocontrol agents P. alvei K165, Blastobotrys sp. FP12 and Arthrobacter sp. FP15 [15,17,18,19], we investigated their capacity to protect grape berries against A. carbonarius and B. cinerea, along with their plant defense triggering activity.
Our in vitro results showed that P. alvei K165 strain produces metabolites with antibiotic activity against A. carbonarius and B. cinerea. Indeed, Paenibacillus spp. are known to produce a number of antibiotics, like polymyxins and iturins and also cellulolytic enzymes [20]. In particular, Tjamos et al. [19] have shown that K165 released chitinolytic compounds in LB growth medium supplemented with glycol chitin. It is tempting to suggest that K165 may inhibit the growth of B. cinerea because of extracellular chitinases as it has been also suggested by Kim et al. [21] in the case of a Paenibacillus elgii strain against B. cinerea. Similarly, the K165 secreted chitinases may also be responsible for the inhibition of the in vitro growth of A. carbonarius, along with antibiotics such as iturins [22]. On the other hand, the Blastobotrys sp. FP12 strain did not reduce the in vitro growth of A. carbonarius and B. cinerea, while the Arthrobacter sp. FP15 strain secreted compounds inhibitory only for A. carbonarius, even if Arthrobacter species are known to secrete chitinase and antibiotic compounds with growth inhibitory effects against a broad range of plant pathogenic fungi [17,23,24]. Irrespectively of the in vitro data, we cannot exclude the possibility that FP12 and FP15 may produce an array of inhibitory substances against both pathogens, under favorable in vivo conditions, since factors like oxygen, water activity and pH influence microbial production of antibiotics [25].
Indeed, the in planta experiments on the grape berries, revealed the efficacy of the examined strains to reduce the disease severity of B. cinerea and A. carbonarius. The K165 strain reduced the disease severity of B. cinerea on grapes by 75%, denoting its biocontrol efficacy, since in similar studies over the last decade the most efficacious biocontrol agents exhibited a biocontrol activity not exceeding 86% [26]. Similarly, the biocontrol activity of FP12 (57%), FP15 (37%) and mainly of K165 (81%) against A. carbonarius is in the range of other biocontrol agents published in previous studies [27,28]. It is evident that the biocontrol traits of K165 are quite interesting, since its application resulted in a significant plant protection, up to 86%, against B. cinerea and A. carbonarius.
In previous studies, strains belonging to Bacillus sp., the close relative of Paenibacillus, have been reported to control B. cinerea on grapes under vineyard and storage conditions, by secreting inhibitory compounds and triggering induced systemic resistance [29,30]. Similarly, it has been shown that Bacillus spp. control A. carbonarius on grapes, due to antibiosis [31]. Like in the case of K165, the FP12 and FP15 strains significantly reduced the A. carbonarius infection on grapes. This is the first published study reporting the plant protective activity of the genera Arthrobacter and Blastobotrys against A. carbonarius on grapes. As far as the mode of action of the yeast-like fungus FP12 is concerned, the main mode of action of the yeast-based biocontrol agents is competition for space and/or nutrients [32], even if the induction of host resistance and the production of antimicrobial compounds have been also reported in previous studies [33]. Among the different modes of action of the biocontrol agents, the induction of systemic resistance is held as the most preferable trait of biocontrol agents, since it offers plants an elevated level of protection against a broad spectrum of pathogens, without the necessity of a direct interaction between the pathogen and the biocontrol agent [34]. However, it is evident that biological control cannot compete the plant protective levels achieved by pesticides. In previous studies, the application of fludioxonil in combination with cyprodinil inhibited completely the growth of A. carbonarius and B. cinerea on grapes [35].
The pathogenesis-related proteins, including chitinases, glucanases and thaumatin-like proteins, accumulate in berries and leaves in response to pathogen invasion and are considered to contribute to grapevine resistance by decomposing the structural components of fungal cell walls [36]. The profile of PRs expression depends on the tissue type, developmental stage and also the invading pathogen or the abiotic stress [37,38]. In our experiments, we analyzed the effect of the examined biocontrol agents on the expression pattern of the chitinase encoding PR genes PR3 and PR4, the β-1,3-glucanase encoding gene PR2 and the thaumatin-like protein expressing gene PR5, upon B. cinerea and A. carbonarius infection.
Our transcriptomic results suggest the involvement of PR2 and PR5 in the K165 mediated protection against B. cinerea and A. carbonarius, since both genes showed the highest transcription levels in the K165 + B. cinerea/A. carbonarius treatment, at both sampling points. The PR2 was also upregulated in the plant protective FP12/FP15 + A. carbonarius treatments compared with the control, while its expression level was similar between the ineffective FP12/FP15 + B. cinerea treatments and control (B. cinerea). Therefore, the high PR2 expression levels in the disease protective treatments (K165 + B. cinerea/A. carbonarius, FP12/FP15 + A. carbonarius) may underlie the biocontrol-mediated protection on grapes. On the other hand, the expression of PR5 did not show the consistency of PR2 over time, in the FP12/FP15 + A. carbonarius treatments.
The PR2 and PR5 are marker genes of the salicylic acid-dependent defense mechanisms and have been identified as key components of the biocontrol triggered plant defenses against B. cinerea [39]. The thaumatin-like proteins, PR5, have been well associated with broad spectrum disease resistance in plants, including B. cinerea [40,41]. The PR5 proteins make the fungal cell membrane permeable, creating an osmotic imbalance and death of the cells [42]. In addition, some thaumatin-like proteins have a weak b-1,3-glucanase activity [43] and others act synergistically with chitinases against fungi [44,45]. In our experiments, the chitinase encoding PR3 and PR4 were overexpressed in the efficacious biocontrol treatments compared with control, at 3 dpi. The plant chitinases, except for inhibiting the growth of fungal hyphae by decomposing the chitin of the fungal cell wall [46], also participate in the pathogen-triggered immunity in plants, since the cleaved chitin oligomers from fungal cell walls are recognized by the plant cell receptor CERK1, triggering the downward plant defense mechanisms [47]. Furthermore, our results imply a synergistic action between PR2 and PR3 or PR4 against B. cinerea and A. carbonarius, respectively, at 3 dpi. Indeed, the synergistic action between β-1,3-glucanase and chitinase against fungi has been well known since the 1980’s [48]. Overall, our transcriptomic data suggest the triggering of certain aspects of the plant defense mechanism by the examined biocontrol agents, against A. carbonarius and B. cinerea.
In conclusion, our study provides novel data about the biocontrol activity of the Blastobotrys and Arthrobacter genera, since this is the first report about the biocontrol efficacy of strains belonging to these genera against A. carbonarius. In parallel, we observed the plant protective activity of K165 on grapes against A. carbonarius and B. cinerea; it becomes evident that K165 is a broad-spectrum biocontrol agent since it can protect various plant species against a wide range of plant pathogens. Our results suggest that K165 produces deleterious compounds for the growth of A. carbonarius and B. cinerea and induces the plant defense mechanisms, as has been also shown in previous studies against other pathogens. However, further studies in different grape varieties, temperature/humidity conditions and strains of A. carbonarius and B. cinerea are necessary, before concluding about the biocontrol activity of the examined strains.

4. Materials and Methods

4.1. In Vitro Antagonism of K165, FP12 and FP15 against B. cinerea and A. carbonarius

The dual culture technique described by Reddy and Patrick [49] was followed to examine the in vitro antagonism of K165, FP12 and FP15 against B. cinerea and A. carbonarius; both pathogens were isolated from infected grapes. In brief, K165, FP12 and FP15 grown on nutrient broth (Merck, Darmstadt, Germany) amended with 2% (v/v) glycerol (Merck, Darmstadt, Germany) and 1.5% (w/v) agar, were placed 2.5 cm from the edge of a Petri plate (9 cm diameter) containing potato dextrose agar (PDA, Merck, Darmstadt, Germany) and allowed to grow for 48 h at 23 °C. Subsequently, a disc (5 mm diameter) of either of the pathogens, taken from the periphery of a freshly grown colony on PDA, was placed opposite to the examined biocontrol agent. The dual culture plates were incubated in the dark for 7 days at 23 °C. The growth of each pathogen was determined, 7 days after inoculation, by measuring the area covered with fungal hyphae, using the Image J software. The experiment was performed with a completely randomized design with three replications of each treatment and repeated twice.

4.2. Evaluation of the Antagonistic Activity of K165, FP12 and FP15 against A. carbonarius and B. cinerea in a Detached Berry Test

For the detached berry test, we followed the methodology of Dimakopoulou et al. [50]. The examined biocontrol agents were grown in liquid culture of nutrient broth amended with 2% (v/v) glycerol, in an orbital incubator at 150 rpm for 2 days at 25 °C. The bacterial suspensions were centrifuged at 5865 g for 10 min, and resuspended in sterile distilled water (SDW), providing a cell concentration of 108 cfu mL−1. Subsequently, surface-sterilized (0.05% sodium hypochlorite for 10 min, followed with 70% ethanol for 5 min and rinsed with SDW) berries of the grape variety Fraoula were immersed for 3 min in the cell suspension of the biocontrol agents containing 0.01% Agral 90. Control berries were immersed in SDW containing 0.01% Agral 90. Twenty-four hours later, a calibrated wound (ca 2 mm diameter) was made with a sterile needle on each berry. The wound was spot-inoculated with 10 μL spore suspension of A. carbonarius or B. cinerea (106 spores mL−1), prepared from a freshly grown culture grown on PDA. Calibrated wounds were also made in mock-inoculated berries and berries treated only with the biocontrol agents. Grape berries were incubated at 25 °C.
The percentage of fungal growth on berries was determined 7 days after inoculation by measuring the area covered with fungal hyphae, using the Image J software. Each treatment consisted of eight replicates and the experiment was repeated thrice (24 berries).

4.3. RNA Isolation and qPCR Determination of the Transcript Levels of Grapevine Defence Genes

The plant defense triggering activity of K165, FP12 and FP15 was examined following the methodology described in Section 4.2. At 1 and 3 dpi, the pericarp tissue of 5 berries from each treatment (K165, FP12, FP15, K165/FP12/FP15 + A. carbonarius/B. cinerea, A. carbonarius/B. cinerea and mock) was harvested for measuring the expression levels of PR2, PR3, PR4 and PR5.
In brief, the pericarp tissue of 5 berries per treatment was pooled into one sample and ground to a fine powder in the presence of liquid nitrogen. For each sample, total RNA was extracted from 200 mg of ground tissue, following the protocol of Sánchez et al. [51]. The RNA samples were treated with DNase I (New England Biolabs, Ipswich, MA, USA) to eliminate traces of contaminating genomic DNA. The RNA concentration was measured on a ND-1000 spectrophotometer (NanoDrop). First-strand cDNA was synthesized using an Xpert cDNA synthesis kit (Grisp) following the manufacturer’s procedure. The expression levels of the PR2, PR3, PR4, and PR5 genes were detected by using the following primer sequences: PR2 (AJ277900) 5′-GGCTATGTTTGATTCCACTG-3′ and 5′-TTGATTGGGTATTTAGCCTG-3′ [52], PR3 (AF053341) 5′-GTTGGTGTGGCAACACTG-3′ and 5′-CCTAAGTATATCACAGTACC-3′ [52], PR4 (AF061329) 5′-CACAGCCGACTCACCCATG-3′ and 5′-GCAGAAGAAGCGGCTAACTCC-3′ [52] and PR5 (Y10992) F 5′-CAGCTATGCAGCCACCTTC-3′ and 5′-CCAAGGTGGATACCATTGC-3′ [52]. The absence of nonspecific products and primer dimers was confirmed by the analysis of melting curves. The Elongation factor 1a (EF-1a) gene was used as an internal standard to normalize differences in cDNA template amounts using the primer sequences 5′-GAACTGGGTGCTTGATAGGC-3′ and 5′-AACCAAAATATCCGGAGTAAAAGA-3′ [53]. Average threshold cycle (Ct) values were calculated for each gene of interest on the basis of three independent biological samples.

4.4. Statistics

The experimental data, except of the data of the in planta test on A. carbonarius, were subjected to analysis of variance (ANOVA), followed by either Tukey’s multiple range test for the in vitro and detached berries experiments or the least significant difference test for the gene expression experiments. The data of the gene expression experiments were transformed with the log (x + 1) transformation before being subjected to ANOVA. The data of the in planta test on A. carbonarius had an irregular distribution; therefore, they were subjected to a Kruskal–Wallis test followed by Nemenyi’s multiple range test.

Author Contributions

Conceptualization, S.E.T.; data curation, D.G. and S.E.T.; formal analysis, D.G.; investigation, D.G. and E.G.P.; methodology, D.G.; project administration, S.E.T.; resources, S.E.T.; supervision, S.E.T.; validation, D.G.; visualization, D.G. and S.E.T.; writing—original draft, D.G. and S.E.T.; writing—review and editing, D.G. and S.E.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

Authors acknowledge E. C. Tjamos for providing the K165 strain.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Steel, C.C.; Blackman, J.W.; Schmidtke, L.M. Grapevine Bunch Rots: Impacts on Wine Composition, Quality, and Potential Procedures for the Removal of Wine Faults. J. Agric. Food Chem. 2013, 61, 5189–5206. [Google Scholar] [CrossRef]
  2. Kelloniemi, J.; Trouvelot, S.; Héloir, M.-C.; Simon, A.; Dalmais, B.; Frettinger, P.; Cimerman, A.; Fermaud, M.; Roudet, J.; Baulande, S.; et al. Analysis of the Molecular Dialogue between Gray Mold (Botrytis cinerea) and Grapevine (Vitis vinifera) Reveals a Clear Shift in Defense Mechanisms During Berry Ripening. Mol. Plant Microbe Interact. 2015, 28, 1167–1180. [Google Scholar] [CrossRef] [Green Version]
  3. Verger, P.J.P.; Boobis, A.R. Reevaluate Pesticides for Food Security and Safety. Science 2013, 341, 717–718. [Google Scholar] [CrossRef]
  4. Fernández-Ortuño, D.; Torés, J.A.; Chamorro, M.; Pérez-García, A.; De Vicente, A. Characterization of Resistance to Six Chemical Classes of Site-Specific Fungicides Registered for Gray Mold Control on Strawberry in Spain. Plant Dis. 2016, 100, 2234–2239. [Google Scholar] [CrossRef] [Green Version]
  5. Elmer, P.A.G.; Reglinski, T. Biosuppression of Botrytis cinerea in grapes. Plant Pathol. 2006, 55, 155–177. [Google Scholar] [CrossRef]
  6. Tracy, E.F. The promise of biological control for sustainable agriculture: A stakeholder-based analysis. J. Sci. Poly. Gov. 2014, 5. [Google Scholar]
  7. Serra, R.; Abrunhosa, L.; Kozakiewicz, Z.; Venancio, A. Black Aspergillus species as ochratoxin A producers in Portuguese wine grapes. Int. J. Food Microbiol. 2003, 88, 63–68. [Google Scholar]
  8. Battilani, P.; Giorni, P.; Bertuzzi, T.; Formenti, S.; Pietri, A. Black aspergilli and ochratoxin A in grapes in Italy. Int. J. Food Microbiol. 2006, 111, S53–S60. [Google Scholar] [CrossRef]
  9. Bejaoui, H.; Mathieu, F.; Taillandier, P.; Lebrihi, A. Black aspergilli and ochratoxin A production in French vineyards. Int. J. Food Microbiol. 2006, 111, S46–S52. [Google Scholar] [CrossRef] [Green Version]
  10. Battaglia, R.; Hatzold, T.; Kroes, R. Occurrence and significance of ochratoxin A in food. In Food Additives and Contaminants. In Proceedings of the Workshop on Ochratoxin in Food, Aix-en-Provence, France, 10–12 January 1996. [Google Scholar]
  11. Cordero-Bueso, G.; Mangieri, N.; Maghradze, D.; Foschino, R.; Valdetara, F.; Cantoral, J.M.; Vigentini, I. Wild Grape-Associated Yeasts as Promising Biocontrol Agents against Vitis vinifera Fungal Pathogens. Front. Microbiol. 2017, 8, 2025. [Google Scholar] [CrossRef] [Green Version]
  12. Diguță, C.F.; Matei, F.; Cornea, C.P. Biocontrol perspectives of Aspergillus carbonarius, Botrytis cinerea and Pencillium expansum on grapes using epiphytic bacteria isolated from Romanian vineyards. Rom. Biotech. Lett. 2016, 21, 11126–11132. [Google Scholar]
  13. Tjamos, S.E.; Flemetakis, E.; Paplomatas, E.J.; Katinakis, P. Induction of Resistance to Verticillium dahliae in Arabidopsis thaliana by the Biocontrol Agent K-165 and Pathogenesis-Related Proteins Gene Expression. Mol. Plant Microbe Interact. 2005, 18, 555–561. [Google Scholar] [CrossRef] [Green Version]
  14. Charalambous, A.; Tjamos, S.E.; Domazakis, E.; Paplomatas, E.J. Incorporation into the transplant soil plug of the plant protective agent Paenibacillus alvei strain K165 confers protection to melon against Fusarium wilt. BioControl 2007, 58, 685–692. [Google Scholar]
  15. Fatouros, G.; Gkizi, D.; Fragkogeorgi, G.A.; Paplomatas, E.J.; Tjamos, S.E. Biological control of Pythium, Rhizoctonia and Sclerotinia in lettuce: Association of the plant protective activity of the bacterium Paenibacillus alvei K165 with the induction of systemic resistance. Plant Pathol. 2017, 67, 418–425. [Google Scholar]
  16. Gkizi, D.; Lehmann, S.; L’Haridon, F.; Serrano, M.; Paplomatas, E.J.; Métraux, J.-P.; Tjamos, S.E. The Innate Immune Signaling System as a Regulator of Disease Resistance and Induced Systemic Resistance Activity against Verticillium dahliae. Mol. Plant Microbe Interact. 2016, 29, 313–323. [Google Scholar] [CrossRef] [Green Version]
  17. Papasotiriou, F.G.; Varypatakis, K.G.; Christofi, N.; Tjamos, S.E.; Paplomatas, E.J. Olive mill wastes: A source of resistance for plants against Verticillium dahliae and a reservoir of biocontrol agents. Biol. Control. 2013, 67, 51–60. [Google Scholar] [CrossRef]
  18. Aggeli, F.; Ziogas, I.; Gkizi, D.; Fragkogeorgi, G.A.; Tjamos, S.E. Novel biocontrol agents against Rhizoctonia solani and Sclerotinia sclerotiorum in lettuce. BioControl 2020, 65, 763–773. [Google Scholar] [CrossRef]
  19. Tjamos, E.C.; Tsitsigiannis, D.I.; Tjamos, S.E.; Antoniou, P.P.; Katinakis, P. Selection and Screening of Endorhizosphere Bacteria from Solarized Soils as Biocontrol Agents Against Verticillium dahliae of Solanaceous Hosts. Eur. J. Plant Pathol. 2004, 110, 35–44. [Google Scholar] [CrossRef]
  20. Cochrane, S.A.; Vederas, J.C. Lipopeptides from Bacillus and Paenibacillus spp.: A Gold Mine of Antibiotic Candidates. Med. Res. Rev. 2016, 36, 4–31. [Google Scholar] [CrossRef]
  21. Kim, Y.C.; Hur, J.Y.; Park, S.K. Biocontrol of Botrytis cinerea by chitin-based cultures of Paenibacillus elgii HOA73. Eur. J. Plant Pathol. 2019, 155, 253–263. [Google Scholar] [CrossRef]
  22. Jiang, C.; Li, Z.; Shi, Y.; Guo, D.; Pang, B.; Chen, X.; Shao, D.; Liu, Y.; Shi, J. Bacillus subtilis inhibits Aspergillus carbonarius by producing iturin A, which disturbs the transport, energy metabolism, and osmotic pressure of fungal cells as revealed by transcriptomics analysis. Int. J. Food Microbiol. 2020, 330, 108783. [Google Scholar] [CrossRef]
  23. Sneh, B. Use of Rhizosphere Chitinolytic Bacteria for Biological Control of Fusarium oxysporum f. sp. dianthi in Carnation. J. Phytopathol. 1981, 100, 251–256. [Google Scholar] [CrossRef]
  24. Morrissey, R.; Dugan, E.; Koths, J. Chitinase production by an Arthrobacter sp. lysing cells of Fusarium roseum. Soil Biol. Biochem. 1976, 8, 23–28. [Google Scholar] [CrossRef]
  25. Raaijmakers, J.M.; Vlami, M.; De Souza, J.T. Antibiotic production by bacterial biocontrol agents. Antonie Van Leeuwenhoek 2002, 81, 537–547. [Google Scholar] [CrossRef]
  26. De Simone, N.; Pace, B.; Grieco, F.; Chimienti, M.; Tyibilika, V.; Santoro, V.; Capozzi, V.; Colelli, G.; Spano, G.; Russo, P. Botrytis cinerea and Table Grapes: A Review of the Main Physical, Chemical, and Bio-Based Control Treatments in Post-Harvest. Foods 2020, 9, 1138. [Google Scholar] [CrossRef]
  27. Arfaoui, M.; Vallance, J.; Bruez, E.; Rezgui, A.; Melki, I.; Chebil, S.; Sadfi-Zouaoui, N.; Rey, P. Isolation, identification and in vitro characterization of grapevine rhizobacteria to control ochratoxigenic Aspergillus spp. on grapes. Biol. Control. 2019, 129, 201–211. [Google Scholar] [CrossRef]
  28. Pantelides, I.S.; Christou, O.; Tsolakidou, M.-D.; Tsaltas, D.; Ioannou, N. Isolation, identification and in vitro screening of grapevine yeasts for the control of black aspergilli on grapes. Biol. Control. 2015, 88, 46–53. [Google Scholar] [CrossRef]
  29. Calvo-Garrido, C.; Roudet, J.; Aveline, N.; Davidou, L.; Dupin, S.; Fermaud, M. Microbial Antagonism Toward Botrytis Bunch Rot of Grapes in Multiple Field Tests Using One Bacillus ginsengihumi Strain and Formulated Biological Control Products. Front. Plant Sci. 2019, 10, 105. [Google Scholar] [CrossRef]
  30. Zhou, Q.; Fu, M.; Xu, M.; Chen, X.; Qiu, J.; Wang, F.; Yan, R.; Wang, J.; Zhao, S.; Xin, X.; et al. Application of antagonist Bacillus amyloliquefaciens NCPSJ7 against Botrytis cinerea in postharvest Red Globe grapes. Food Sci. Nutr. 2020, 8, 1499–1508. [Google Scholar]
  31. Jiang, C.; Shi, J.; Liu, Y.; Zhu, C. Inhibition of Aspergillus carbonarius and fungal contamination in table grapes using Bacillus subtilis. Food Control. 2014, 35, 41–48. [Google Scholar] [CrossRef]
  32. Filonow, A.B. Role of Competition for Sugars by Yeasts in the Biocontrol of Gray Mold of Apple. Biocontrol Sci. Technol. 1998, 8, 243–256. [Google Scholar] [CrossRef]
  33. Adikaram, N.K.B.; Joyce, D.C.; Terryc, L.A. Biocontrol activity and induced resistance as a possible mode of action for Aureobasidium pullulans against grey mould of strawberry fruit. Australas. Plant Pathol. 2002, 31, 223–229. [Google Scholar]
  34. Walters, D.R.; Ratsep, J.; Havis, N.D. Controlling crop diseases using induced resistance: Challenges for the future. J. Exp. Bot. 2013, 64, 1263–1280. [Google Scholar] [CrossRef]
  35. Saito, S.; Michailides, T.J.; Xiao, C.L. Fungicide-resistant phenotypes in Botrytis cinerea populations and their impact on control of gray mold on stored table grapes in California. Eur. J. Plant Pathol. 2019, 154, 203–213. [Google Scholar] [CrossRef]
  36. Giannakis, C.; Bucheli, C.S.; Skene, K.G.M.; Robinson, S.P.; Scott, N.S. Chitinase and β-1,3-glucanase in grapevine leaves: A possible defence against powdery mildew infection. Aust. J. Grape Wine Res. 1998, 4, 14–22. [Google Scholar] [CrossRef]
  37. Derckel, J.-P.; Baillieul, F.; Manteau, S.; Audran, J.-C.; Haye, B.; Lambert, B.; Legendre, L. Differential Induction of Grapevine Defenses by Two Strains of Botrytis cinerea. Phytopathology 1999, 89, 197–203. [Google Scholar] [CrossRef]
  38. Robert, N.; Roche, K.; Lebeau, Y.; Breda, C.; Boulay, M.; Esnault, R.; Buffard, D. Expression of grapevine chitinase genes in berries and leaves infected by fungal or bacterial pathogens. Plant Sci. 2002, 162, 389–400. [Google Scholar] [CrossRef]
  39. Nie, P.; Li, X.; Wang, S.; Guo, J.; Zhao, H.; Niu, D. Induced Systemic Resistance against Botrytis cinerea by Bacillus cereus AR156 through a JA/ET- and NPR1-Dependent Signaling Pathway and Activates PAMP-Triggered Immunity in Arabidopsis. Front. Plant Sci. 2017, 8, 238. [Google Scholar] [CrossRef]
  40. Chu, K.; Ng, T. Isolation of a large thaumatin-like antifungal protein from seeds of the Kweilin chestnut Castanopsis chinensis. Biochem. Biophys. Res. Commun. 2003, 301, 364–370. [Google Scholar] [CrossRef]
  41. Ho, V.S.; Wong, J.H.; Ng, T. A thaumatin-like antifungal protein from the emperor banana. Peptides 2007, 28, 760–766. [Google Scholar] [CrossRef]
  42. Vigers, A.J.; Wiedemann, S.; Roberts, W.K.; Legrand, M.; Selitrennikoff, C.P.; Fritig, B. Thaumatin-like pathogenesis-related proteins are antifungal. Plant Sci. 1992, 83, 155–161. [Google Scholar] [CrossRef]
  43. Fierens, E.; Rombouts, S.; Gebruers, K.; Goesaert, H.; Brijs, K.; Beaugrand, J.; Volckaert, G.; Van Campenhout, S.; Proost, P.; Courtin, C.M.; et al. TLXI, a novel type of xylanase inhibitor from wheat (Triticum aestivum) belonging to the thaumatin family. Biochem. J. 2007, 403, 583–591. [Google Scholar] [CrossRef] [Green Version]
  44. Shah, J.M.; Singh, R.; Veluthambi, K. Transgenic rice lines constitutively co-expressing tlp-D34 and chi11 display enhancement of sheath blight resistance. Biol. Plant. 2013, 57, 351–358. [Google Scholar] [CrossRef]
  45. Tobias, D.J.; Manoharan, M.; Pritsch, C.; Dahleen, L.S. Co-bombardment, integration and expression of rice chitinase and thaumatin-like protein genes in barley (Hordeum vulgare cv. Conlon). Plant Cell Rep. 2006, 26, 631–639. [Google Scholar] [CrossRef]
  46. Grover, A. Plant Chitinases: Genetic Diversity and Physiological Roles. Crit. Rev. Plant Sci. 2012, 31, 57–73. [Google Scholar] [CrossRef]
  47. Kaku, H.; Nishizawa, Y.; Ishii-Minami, N.; Akimoto-Tomiyama, C.; Dohmae, N.; Takio, K.; Minami, E.; Shibuya, N. Plant cells recognize chitin fragments for defense signaling through a plasma membrane receptor. Proc. Natl. Acad. Sci. USA 2006, 103, 11086–11091. [Google Scholar] [CrossRef] [Green Version]
  48. Mauch, F.; Mauch-Mani, B.; Boller, T. Antifungal hydrolases in pea tissue: II. Inhibition of fungal growth by combinations of chitinase and b-1,3-glucanase. Plant Physiol. 1988, 88, 936–942. [Google Scholar]
  49. Reddy, M.; Patrick, Z. Colonization of tobacco seedling roots by fluorescent pseudomonad suppressive to black root rot caused by Thielaviopsis basicola. Crop. Prot. 1992, 11, 148–154. [Google Scholar] [CrossRef]
  50. Dimakopoulou, M.; Tjamos, S.E.; Antoniou, P.P.; Pietri, A.; Battilani, P.; Avramidis, N.; Markakis, E.A.; Tjamos, E.C. Phyllosphere grapevine yeast Aureobasidium pullulans reduces Aspergillus carbonarius (sour rot) incidence in wine-producing vineyards in Greece. Biol. Control. 2008, 46, 158–165. [Google Scholar]
  51. Sánchez, C.; Villacreses, J.; Blanc, N.; Espinoza, L.; Martinez, C.; Pastor, G.; Manque, P.; Undurraga, S.F.; Polanco, V. High quality RNA extraction from Maqui berry for its application in next-generation sequencing. SpringerPlus 2016, 5, 1–7. [Google Scholar] [CrossRef] [Green Version]
  52. Kortekamp, A. Expression analysis of defence-related genes in grapevine leaves after inoculation with a host and a non-host pathogen. Plant Physiol. Bioch. 2006, 44, 58–67. [Google Scholar]
  53. Reid, K.E.; Olsson, N.; Schlosser, J.; Peng, F.; Lund, S.T. An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development. BMC Plant Biol. 2006, 6, 27. [Google Scholar]
Plants 10 00970 g001 550
Figure 1. In vitro growth of Aspergillus carbonarius, Ac, (a) and Botrytis cinerea, Bc, (b) in dual culture with K165, FP12 and FP15 in PDA medium at 7 days after inoculation. The growth of the pathogen in the single culture (Ac or Bc) was set to 100% and its growth in the dual cultures was estimated as a percentage relative to the growth in the single culture. The columns represent the means of two biological repeats with three plates per treatment and repeated experiments (n = 6). Columns with different letters are significantly different from each other, according to Tukey’s multiple range test (p < 0.05). The vertical bars indicate the standard error values.
Figure 1. In vitro growth of Aspergillus carbonarius, Ac, (a) and Botrytis cinerea, Bc, (b) in dual culture with K165, FP12 and FP15 in PDA medium at 7 days after inoculation. The growth of the pathogen in the single culture (Ac or Bc) was set to 100% and its growth in the dual cultures was estimated as a percentage relative to the growth in the single culture. The columns represent the means of two biological repeats with three plates per treatment and repeated experiments (n = 6). Columns with different letters are significantly different from each other, according to Tukey’s multiple range test (p < 0.05). The vertical bars indicate the standard error values.
Plants 10 00970 g001
Plants 10 00970 g002 550
Figure 2. Area of Aspergillus carbonarius, Ac, (a) and Botrytis cinerea, Bc, (b) rot on grapes inoculated with K165, FP12 and FP15, at 7 days after pathogen inoculation. The columns represent the means of three biological repeats with eight berries per treatment and repeated experiments (n = 24). Columns with different letters are significantly different from each other, according to Nemenyi (a) and Tukey (b) multiple range tests (p < 0.05). The vertical bars indicate the values of the standard error.
Figure 2. Area of Aspergillus carbonarius, Ac, (a) and Botrytis cinerea, Bc, (b) rot on grapes inoculated with K165, FP12 and FP15, at 7 days after pathogen inoculation. The columns represent the means of three biological repeats with eight berries per treatment and repeated experiments (n = 24). Columns with different letters are significantly different from each other, according to Nemenyi (a) and Tukey (b) multiple range tests (p < 0.05). The vertical bars indicate the values of the standard error.
Plants 10 00970 g002
Plants 10 00970 g003 550
Figure 3. Relative transcript levels of PR2 (a), PR3 (b), PR4 (c) and PR5 (d) in the pericarp of grape berries treated with Paenibacillus alvei K165, Blastobotrys sp. strain FP12 or Arthrobacter sp. strain FP15 in response to infection with Aspergillus carbonarius. The samples for RNA isolation were collected at 1 and 3 days post inoculation (dpi) with the pathogen. The expression levels of PR2, PR3, PR4 and PR5 were normalized to the expression of EF-1a measured in the same samples and they are presented as transformed values with the log (x + 1) transformation, in comparison with the normalized expression level of the respective gene in mock treatment. The columns show the means of three biological repeats (n = 3) and the results are presented on a logarithmic scale. The vertical bars indicate the standard errors. At each day, columns with different letters represent statistically different treatments according to the LSD test (p < 0.05).
Figure 3. Relative transcript levels of PR2 (a), PR3 (b), PR4 (c) and PR5 (d) in the pericarp of grape berries treated with Paenibacillus alvei K165, Blastobotrys sp. strain FP12 or Arthrobacter sp. strain FP15 in response to infection with Aspergillus carbonarius. The samples for RNA isolation were collected at 1 and 3 days post inoculation (dpi) with the pathogen. The expression levels of PR2, PR3, PR4 and PR5 were normalized to the expression of EF-1a measured in the same samples and they are presented as transformed values with the log (x + 1) transformation, in comparison with the normalized expression level of the respective gene in mock treatment. The columns show the means of three biological repeats (n = 3) and the results are presented on a logarithmic scale. The vertical bars indicate the standard errors. At each day, columns with different letters represent statistically different treatments according to the LSD test (p < 0.05).
Plants 10 00970 g003
Plants 10 00970 g004 550
Figure 4. Relative transcript levels of PR2 (a), PR3 (b), PR4 (c) and PR5 (d) in the pericarp of grape berries treated with Paenibacillus alvei K165, Blastobotrys sp. strain FP12 or Arthrobacter sp. strain FP15 in response to infection with Botrytis cinerea. The samples for RNA isolation were collected at 1 and 3 days post inoculation (dpi) with the pathogen. The expression levels of PR2, PR3, PR4 and PR5 were normalized to the expression of EF-1a measured in the same samples and they are presented as transformed values with the log (x + 1) transformation, in comparison with the normalized expression level of the respective gene in mock treatment. The columns show the means of three biological repeats (n = 3) and the results are presented on a logarithmic scale. The vertical bars indicate the standard errors. At each day, columns with different letters represent statistically different treatments according to LSD test (p < 0.05).
Figure 4. Relative transcript levels of PR2 (a), PR3 (b), PR4 (c) and PR5 (d) in the pericarp of grape berries treated with Paenibacillus alvei K165, Blastobotrys sp. strain FP12 or Arthrobacter sp. strain FP15 in response to infection with Botrytis cinerea. The samples for RNA isolation were collected at 1 and 3 days post inoculation (dpi) with the pathogen. The expression levels of PR2, PR3, PR4 and PR5 were normalized to the expression of EF-1a measured in the same samples and they are presented as transformed values with the log (x + 1) transformation, in comparison with the normalized expression level of the respective gene in mock treatment. The columns show the means of three biological repeats (n = 3) and the results are presented on a logarithmic scale. The vertical bars indicate the standard errors. At each day, columns with different letters represent statistically different treatments according to LSD test (p < 0.05).
Plants 10 00970 g004
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Gkizi, D.; Poulaki, E.G.; Tjamos, S.E. Towards Biological Control of Aspergillus carbonarius and Botrytis cinerea in Grapevine Berries and Transcriptomic Changes of Genes Encoding Pathogenesis-Related (PR) Proteins. Plants 2021, 10, 970. https://doi.org/10.3390/plants10050970

AMA Style

Gkizi D, Poulaki EG, Tjamos SE. Towards Biological Control of Aspergillus carbonarius and Botrytis cinerea in Grapevine Berries and Transcriptomic Changes of Genes Encoding Pathogenesis-Related (PR) Proteins. Plants. 2021; 10(5):970. https://doi.org/10.3390/plants10050970

Chicago/Turabian Style

Gkizi, Danai, Eirini G. Poulaki, and Sotirios E. Tjamos. 2021. "Towards Biological Control of Aspergillus carbonarius and Botrytis cinerea in Grapevine Berries and Transcriptomic Changes of Genes Encoding Pathogenesis-Related (PR) Proteins" Plants 10, no. 5: 970. https://doi.org/10.3390/plants10050970

APA Style

Gkizi, D., Poulaki, E. G., & Tjamos, S. E. (2021). Towards Biological Control of Aspergillus carbonarius and Botrytis cinerea in Grapevine Berries and Transcriptomic Changes of Genes Encoding Pathogenesis-Related (PR) Proteins. Plants, 10(5), 970. https://doi.org/10.3390/plants10050970

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