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Mycobiota in Slovak wine grapes: A case study from the small Carpathians wine region

  • Soňa Felšöciová EMAIL logo , Jozef Sabo , Natália Čmiková , Przemysław Łukasz Kowalczewski and Miroslava Kačániová EMAIL logo
Published/Copyright: September 7, 2023

Abstract

The microbiological characteristics of the grapes are made up of a wide variety of microorganisms, including filamentous fungi. Their presence in grapes is traditionally associated with deterioration in quality. The health of the grapes is very important for obtaining quality wine. The objective of this study was to investigate the diversity of mycobiota on the surface and inside of different grapevine varieties at harvest time in the temperate climate of Slovakia and to identify potentially pathogenic isolates of Aspergillus and Penicillium producing selected mycotoxins. During the 2021 grape harvest, grapes were collected from the Small Carpathians wine region. Eleven grape samples were analyzed by the plating method and plating method with surface disinfection. Emphasis was placed on Aspergillus and Penicillium species because of their importance in mycotoxin production. Of the 605 fungal strains detected, 11 genera were identified in the exogenous mycobiota. The most common and abundant genera were Alternaria and Botrytis. In the genus Aspergillus, A. section Nigri is the most abundant, while in the genus Penicillium, P. raistrickii reached the highest frequency and abundance. Of the 379 strains detected and identified from the endogenous mycobiota, the most common genera were again Alternaria and Botrytis and the most abundant genus was Botrytis. Penicillium species were detected in 17% of all fungi found, with P. raistrickii dominating. The A. section Nigri reached only 4% of the relative density of all isolates. Potentially toxigenic Aspergillus and Penicillium species were tested for toxinogenity by thin layer chromatography. The most important mycotoxin-producing species found were A. section Nigri but without ochratoxin A production.

1 Introduction

Viticulture and winemaking in Slovakia are among the important traditional economic sectors. The area under vine in the Slovak Republic is 14,642 ha, of which 3,947 ha is in the Malokarpatska wine-growing region, 4,171 ha is in the South Slovak wine-growing region, 2,993 ha is in the Nitra wine-growing region, 1,713 ha is in the Central Slovak wine-growing region, 726 ha is in the East Slovak wine-growing region, and 1,092 ha is in the Tokaj wine-growing region [1].

Grapes, like other foods, can be contaminated by various fungi. Fungal diseases in the vineyard affect the quality of grapes by influencing the volatile profile and consequently affecting the aroma, flavor, and color of juice and wine. Molds synthesize numerous compounds e.g., Aspergillus and Penicillium produced 3-methylbutanol, 3-octanol, 1-octen-3-ol, 1-octanol, and 2-octen-1-ol along with a number of higher alcohols, aldehydes, and ketones [2]. Among these odors, 1-octen-3-ol is described as being “musty” and “mushroom.” Other compounds possessing “musty” or “moldy” sensory attributes are also synthesized. In addition to these sensory effects, the presence of filamentous fungi in grapes can result in mycotoxins. Mycotoxins are toxic secondary metabolites produced by molds that infect field crops, contaminate raw agricultural commodities as well as processed foods and feeds. Mycotoxins in food and feed can be fatal or cause severe illness at very low concentrations, often measured in parts per million or parts per billion. In addition to acute toxicosis due to high mycotoxin exposure, prolonged exposure to low and sublethal doses of mycotoxins leads to chronic toxicosis, which is cumulative damage to specific tissues, organs, or systems, sometimes accompanied by the development of cancer [3,4].

However, food and feed may be contaminated by several fungal species simultaneously or in rapid succession. Therefore, humans and animals are generally exposed to a cocktail of mycotoxins. Even very low doses of mycotoxins can synergistically impair the intestinal health, and the consequences of combined exposure to environmental and food contaminants are specific to the target organ [5]. The presence of filamentous fungi and toxin levels in grapes and wines vary depending on the grape variety, wine region, agricultural practices, weather conditions, harvest, storage, and winemaking practices [6].

Among the contaminating microorganisms, the mycotoxin-producing fungi Aspergillus and Penicillium are of particular concern [7,8]. Among mycotoxins in grapes, such as alternariol, aflatoxins (AFs), tenuazonic acid, fumonisin B2, ochratoxin A (OTA), patulin, citrinin, and others [9]. OTA is the main contaminant of grapes, juice, and wine [10,11]. This toxin has shown neurotoxic, genotoxic, carcinogenic, mutagenic, teratogenic, and immunosuppressive effects in animals [6]. Aspergillus carbonarius and Aspergillus niger are the main fungi responsible for the accumulation of OTA in grapes [10,11,12,13]. Although A. carbonarius is less frequently isolated than other black aspergilli, it is considered the most important producer of OTA because almost all isolates (if not all) produce the toxin, which occurs at high concentrations [14]. More often, two or more mycotoxins occur simultaneously [15]. OTA occurs more or less frequently together with minor Aspergillus and Penicillium mycotoxins such as citrinin and Penicillic acid, which also have nephrotoxic and carcinogenic effects, with AFs, or with the Fusarium mycotoxin fumonisin B1 [16]. Compared to other mycotoxins, patulin is considered less risky because the production of significant amounts of patulin is accompanied by visible rotting of fruit, so almost all of the toxins can be removed by eliminating rotten fruit through selection and sorting. Nevertheless, patulin concentrations in food are subject to regulatory control in some countries [3].

Sour rot and Botrytis infections are the most common causes of severe crop loss in grapes. Sour rot usually affects dense grapes just before harvest and is typically characterized by vinegar odor and brown berries [17]. Botrytis infections (also known as grey mold) often occur in vineyards exposed to cold and humid conditions during the ripening period and has a detrimental effect on the organoleptic properties [18]. Good agricultural practices and pre-harvest protection are very important to prevent pathogens from infecting crops and infected fruits from entering the food chain [19].

2 Materials and methods

2.1 Sampling of grape berries

In the 2021 vintage, the grape samples were collected from a small family winery in the village Vrbove (48°37′12″S 17°43′25″V), which is situated in Vrbovsky subregion, the part of the Small Carpathians wine region [20]. Three samples of red grape varieties (Alibernet, Blaufränkisch, and Cabernet Sauvignon) and eight samples of white grape varieties (Chardonnay, Irsai Oliver, Müller-Thurgau, Pálava, Pinot Blanc, Rheinriesling, Feteasca Regala, and Welschriesling) without visible signs of fungal infection were taken during the last ripening phase of the berries (harvest season), in September/October 2021. Ten plants were selected randomly along two diagonal rows of the vineyard and two bunches of grapes from each plant were harvested. Each of the grape sample was placed directly in a sterile plastic bag. The samples were taken to the laboratory and stored at 5°C until fungal analysis.

2.2 Mycological analysis of grape berry samples

We used two methods to cultivate and isolate the fungi: (a) direct plating without surface disinfection which corresponds to exogenous contamination and (b) direct plating with surface disinfection which corresponds to endogenous contamination. Fifty grape berries from each sample were randomly selected and then plated in Petri plates (140 mm diameter, 7–8 berries/dish) with Dichloran Rose Bengal Chloramphenicol Agar (Merck, Germany). Petri plates were incubated at 25°C for 7–10 days. Fifty additional grape berries were surface disinfected for 1 min in 1% NaClO according to the methods of Magnoli et al. [21] and rinsed three times with sterile distilled water (total volume 1 L) to remove incidental surface contamination, dried, plated in the same medium, and incubated for 5–7 days at 25 ± 1°C in the dark. Taxonomic identification of all isolates was performed by macroscopic and microscopic observation following the guidance of Pitt and Hocking [22]. Aspergillus strains were incubated on Czapek Yeast Agar (CYA; Merck, Germany) [23], Malt Extract Agar (MEA; Merck, Germany) [23], and Czapek Yeast Extract with 20% Sucrose (Merck, Germany) [22]. Penicillium strains were incubated on CYA, MEA, Creatine Sucrose Agar [23], and Yeast Extract Agar (YES; Merck, Germany) [23] incubated in 90 mm plastic Petri plates in the dark at 25 ± 1°C. After 7 days of incubation, the macroscopic and microscopic characteristics were observed according to the relevant mycological literature. Identification of Aspergillus strains was according to Klich [24], Pitt and Hocking [22], and identification of Penicillium strains was according to Pitt and Hocking [22], Samson et al. [25], and Frisvad and Samson [26].

2.3 Data analysis

The obtained results were evaluated and expressed in terms of relative density (RD) and isolation frequency (IF). The RD (%) is defined as the percentage of isolates of the species or genus present in the analyzed sample [27]. These values were calculated following González et al. [28] as follows:

(1) RD ( % ) = ( ni / Ni ) × 100 ,

where ni – number of isolates of a species or genus; and Ni – total number of isolated fungi.

IF (%) is defined as the percentage of samples in which the species or genus occurred at least once. These values were calculated following González et al. [28] as follows:

(2) IF ( % ) = ( ns / N ) × 100 ,

where ns – number of samples with a species or genus, and N – total number of samples.

2.4 Evaluation of mycotoxigenic potential of Aspergillus and Penicillium isolates

To evaluate the toxigenic potential we used the agar plug method on thin layer chromatography (TLC) according to Samson et al. [25], modified by Labuda and Tančinová [29], in which potentially toxigenic species producing extracellular metabolites – OTA, AF B1, AF G1, citrinin, and patulin – were inoculated on YES agar and potentially toxigenic species producing intracellular metabolites – roquefortine C, penitrem A (PA), and cyclopiazonic acid (CPA) – were inoculated on CYA agar. From the colonies (after 14 days of incubation), some mycelial pieces of about 5 mm × 5 mm were cut and placed in an Eppendorf tube containing 500 μL chloroform:methanol in the ratio of 2:1 (Reachem, Slovak Republic). The contents of the tubes were shaken for 5 min with Vortex Genie® 2 (MO BIO Laboratories, Inc., Carlsbad, CA, USA). Mycotoxins extracted from cultures of fungal isolates were determined by TLC technique on a precoated silica gel plate (Alugram® SIL G, Macherey-Nagel, Germany). 30 μL of the liquid phase of the extracts was applied to the TLC plate together with 10 μL of standards (Sigma, Germany). The plate was placed in TEF solvent (toluene:ethyl acetate:formic acid; 5:4:1, toluene - Mikrochem, Slovak Republic; ethyl acetate and formic acid - Slavus, Slovak Republic). After elution, the plate was air dried. Mycotoxins were identified by comparison with appropriate reference standards for mycotoxins. Roquefortine C (RC) was visible as an orange spot after spraying with Ce(SO4)2 × 4H2O. PA was visible as a dark blue spot after spraying with 20% AlCl3 in 60% ethanol and heating at 130°C for 8 min. CPA was visible as a purple-tailed spot after spraying with Ehrlich reagent directly in daylight. Patulin was detected by spraying with 0.5% methylbenzothiazolone hydrochloride(Merck, Germany) in methanol and heating at 130°C for 8 min and was then visible as a yellow-orange spot. Directly under UV light with a wavelength of 365 nm, OTA was visualized as a blue-green spot, citrinin as a yellow-green-tailed spot, AF B1 as a blue spot, and AF G1 as a green-blue spot.

3 Results

3.1 Exogenous mycobiota from 11 grape varieties

The filamentous fungi of the surface mycobiota identified in eight white and three red grape varieties are shown in Table 1. A total of 605 strains belonging to 11 genera were identified. The highest number of isolates (from 82 to 103) belonging to 6 or 8 genera was found in Alibernet (1), Cabernet Sauvignon (3), and Pálava (7) varieties. A smaller number of isolates (38) were isolated from the white grape variety Chardonnay (4), but with a large number of genera (7). The fewest isolates (4) with a genus of microscopic filamentous fungi were isolated from the white grape variety Irsai Oliver (5). Almost all samples were colonized by the genera Alternaria and Botrytis (91% IF, each), followed by Aspergillus (82% IF), Penicillium (73% IF), Cladosporium and Mucor (54% IF, each), and Rhizopus (45% IF). The most abundant genus from exogenous mycobiota was Botrytis (43% RD, Figure 1), followed by Alternaria (32% RD) and Aspergillus (6% RD) of all fungi found. The other genera were detected in less than 5% of all isolates. Figure 1 shows the most isolated family of mycobiota by the direct plating method. The most isolated family was Sclerotiniaceae and genus Botrytis (43%), and Pleosporaceae and genus Alternaria (32%).

Table 1

Fungi identified in Slovak wine grapes, IF, and RD from exogenous mycobiota in 2021 by the direct plating method

Fungal taxa 1 2 3 4 5 6 7 8 9 10 11 No. IF (%) RD (%)
Alternaria 26 3 71 7 3 26 18 10 22 10 196 91 32
Aspergillus 1 11 4 3 1 1 5 3 5 34 82 6
A. flavus 1 1 9 3
A. section Nigri 1 11 4 3 1 5 3 5 33 73 97
Botrytis 51 30 19 2 14 34 12 32 36 32 262 91 43
Cladosporium 1 13 1 3 6 3 27 54 4
Epicoccum 2 1 3 18 <1
Fusarium 1 1 2 18 <1
Harzia atra 12 5 1 1 19 36 3
Mucor 1 4 4 3 2 1 15 54 2
Penicillium 14 1 6 1 1 2 1 1 27 73 4
P. brevicompactum 1 1 9 4
P. crustosum 1 2 3 18 11
P. expansum 1 1 9 4
P. chrysogenum 5 5 9 18
P. polonicum 1 1 9 4
P. raistrickii 9 1 1 11 27 41
P. spp. 1 4 5 18 18
Phoma 2 2 9 <1
Rhizopus 7 4 2 2 3 18 45 3
Total 94 47 103 38 4 18 82 43 53 70 53 605

1–Alibernet, 2–Blaufränkisch, 3–Cabernet Sauvignon, 4–Chardonnay, 5–Irsai Oliver, 6–Müller-Thurgau, 7–Pálava, 8–Pinot Blanc, 9–Rheinriesling, 10–Feteasca Regala, 11–Welschriesling, No.–number of isolated micromycetes, IF–isolation frequency, RD–relative density.

Figure 1 
                  Krona chart: percentage of isolated microscopic fungi by the direct plating method.
Figure 1

Krona chart: percentage of isolated microscopic fungi by the direct plating method.

3.2 Endogenous mycobiota from 11 grape varieties

The filamentous fungi of the endogenous mycobiota identified in 11 grape varieties are shown in Table 2. A total of 379 strains belonging to 8 fungal genera were identified. The highest number of isolates (77 and 141) belonging to 5 and 6 genera was found in Alibernet (1) and Cabernet Sauvignon (3) cultivars. The highest number of genera (7) was found in the grape variety Rheinriesling (9). The lowest quantitative representation of micromycetes (4) with 4 genera was isolated from the white grape variety Pinot Blanc (8). Only 1 genus was found from the Irsai Oliver (5) grape variety. Almost all samples were colonized by the genera Alternaria and Botrytis (91% IF, each), followed by Aspergillus, Penicillium (54% IF, each), and Rhizopus (45% IF). Botrytis reached the highest number of isolates in most samples, except in two varieties of Chardonnay (4) and Feteasca Regala (10), where the genus Alternaria dominated, and Alternaria was not detected at all in 2 samples of Müller-Thurgau (6) and Pinot Blanc (8). The most abundant genus of endogenous mycobiota was Botrytis (51%, Figure 2), followed by Alternaria (21%) and Penicillium (17%) of all fungi found. The remaining genera were detected in less than 5% of all isolates. The most isolated family of mycobiota by the direct plating method with surface disinfection is shown in Figure 2. Similar to the direct plating method, the most isolated family was Sclerotiniaceae and genus Botrytis (51.2%), and Pleosporaceae and genus Alternaria (21.1%).

Table 2

Fungi identified in Slovak wine grapes, IF, and RD from endogenous mycobiota in 2021 by the direct plating method with surface disinfection

Fungal taxa 1 2 3 4 5 6 7 8 9 10 11 No. IF (%) RD (%)
Alternaria 16 2 24 11 2 2 1 4 14 4 80 91 21
Aspergillus section Nigri 1 2 1 1 1 9 15 54 4
Botrytis 47 5 65 2 10 27 18 8 12 194 91 51
Cladosporium 1 1 1 3 27 <1
Epicoccum 1 3 4 18 1
Mucor 1 1 2 18 <1
Penicillium 11 3 41 2 1 6 64 54 17
P. brevicompactum 1 1 9 1
P. crustosum 1 1 9 1
P. chrysogenum 4 11 4 19 27 30
P. polonicum 2 2 9 3
P. raistrickii 7 1 30 1 39 36 61
P. spp. 2 2 9 3
Rhizopus 10 4 1 1 1 17 45 4
Total 77 12 141 17 10 5 30 4 42 24 17 379

1–Alibernet, 2–Blaufränkisch, 3–Cabernet Sauvignon, 4–Chardonnay, 5–Irsai Oliver, 6–Müller-Thurgau, 7–Pálava, 8–Pinot Blanc, 9–Rheinriesling, 10–Feteasca Regala, 11–Welschriesling, No.–number of isolated micromycetes, IF–isolation frequency, RD–relative density.

Figure 2 
                  Krona chart: percentage of isolated microscopic fungi by the direct plating method with surface disinfection.
Figure 2

Krona chart: percentage of isolated microscopic fungi by the direct plating method with surface disinfection.

3.3 Toxinogenity of Aspergillus and Penicillium isolates from selected grape varieties

Food safety is a priority for humanity. Mycotoxins pose a major threat to food safety [3]. The data in Table 3 show the toxicogenic profile of the 29 Aspergillus isolates and 52 Penicillium isolates representing A. flavus, A. section Nigri, P. crustosum, P. expansum, P. chrysogenum, and P. raistrickii. From the exogenous mycobiota of grapes, 34 isolates belonging to 2 Aspergillus and 4 Penicillium species were screened. All strains of A. section Nigri tested were negative for OTA, and one strain of A. flavus was negative for AF B1, G1, and CPA. Three strains of P. crustosum were positive for RC and PA, and one strain of P. expansum was positive for RC, citrinin, and patulin. A positive toxinogenity was detected for RC by P. chrysogenum (three out of five strains) and for griseofulvin by P. raistrickii (five out of six).

Table 3

Toxinogenity of selected Aspergillus and Penicillium strains isolated from exogenous and endogenous mycobiota of wine grapes

Species OTA Griseofulvin Patulin Citrinin RC PA AFB1 AFG1 CPA
Toxinogenity of exogenous mycobiota
Aspergillus flavus 0/1 0/1 0/1
Aspergillus section Nigri 0*/18**
Penicillium crustosum 3/3 3/3
P. expansum 1/1 1/1 1/1
P. chrysogenum 3/5
P. raistrickii 5/6
Toxinogenity of endogenous mycobiota
Aspergillus section Nigri 0/10
Penicillium chrysogenum 12/14
P. raistrickii 18/23

* –number of isolates with the ability to produce mycotoxins, **–number of tested isolates, OTA–ochratoxin A, RC–roquefortin C, PA–penitrem A, AF–aflatoxin, CPA–cyclopiazonic acid.

Ten Aspergillus strains and 37 Penicillium strains isolated from the endogenous mycobiota of grapes were evaluated for their ability to produce mycotoxins. Negative toxinogenity for OTA by Aspergillus section Nigri was detected not only from exogenous but also from endogenous mycobiota. The ability to produce RC by P. chrysogenum in in vitro conditions was detected in 12 out of 14 strains and griseofulvin by P. raistrickii in 18 out of 23 strains.

4 Discussion

In previous studies [30,31], Alternaria was also the most frequently occurring genus with the highest RD in Slovak grapes from the Small Carpathians wine region, the South Slovak wine region [32], and the Central Slovak wine region [33]. Botrytis was a less frequently occurring fungal genus with a low RD in grape samples [21,32,33]. The ascomycete Botrytis cinerea is considered to be one of the most destructive fungi in viticulture in cool climates, causing Botrytis bunch rot or grape grey mold and dramatically changing the physiochemical state of grape berries [34] or noble rot in “botrytized” grapes that produce the greatest white wines [35]. Aspergillus, Alternaria, Botrytis, Penicillium, and Cladosporium were five of the most frequent genera in all four winemaking regions in Portugal [8]. In our study, contamination by Aspergillus was higher than that by Penicillium in most samples, except for Alibernet, Chardonnay, and Pinot Blanc, in which Penicillium was more represented. However, the diversity of Penicillium species was higher than that of Aspergillus. Kizis et al. [36] studied the colonization of grapes by filamentous fungi from growing areas in Greece. Aspergillus was the most frequently isolated genus in all regions except Macedonia, where the genus Alternaria was most common. EL Khoury et al. [37] found similar results in Lebanese vineyards, where 95.5% of the isolates belonged to the genus Aspergillus, while only 4.5% belonged to the genus Penicillium. The Aspergillus species found in our grapes from the Vrbovsky subregion were A. flavus and A. section Nigri. The species of section Nigri accounted for 97% of the Aspergillus isolates. These results are consistent with the reports by Battilani et al. [38], who found that A. section Nigri was the most commonly isolated species in hot and dry areas. Among them, A. carbonarius and A. niger were the most abundant species in grapes [7]. Freire et al. [6] found similar results in Brazilian vineyards. Species of the A. section Nigri were predominant in the mycobiota of grapes from the Small Carpathians area in Slovakia during 2011–2013 harvest [30,32]. Certainly, Aspergillus species is present worldwide, in all wine grape products, and under all environmental conditions, most frequently in warmer regions and on heat-producing substrates [39]. The toxigenic species A. clavatus and A. flavus were the other main species recorded with a high IF. The identified species of the genus Penicillium were P. raistrickii, P. chrysogenum, P. crustosum, P. brevicompactum, P. expansum, and P. polonicum. Most cultivars were colonized by P. raistrickii, which dominated in 27% of the samples examined and accounted for 41% of Penicillium isolates, especially in the Alibernet cultivar. Penicillium raistrickii is a soil fungus and has a widespread though sparse distribution in food [22]. These results differ from those in Brazilian vineyards, where the most abundant Penicillium species were P. sclerotiorum, P. citrinum, P. glabrum, P. decumbens, P. implicatum, and P. solitum [6]. Penicillium brevicompactum, P. thomii, and P. glabrum were found in Portuguese vineyards [8]. Penicillium chrysogenum was the most frequently isolated species in Argentina [21] and Slovakia [40]. In France and Portugal, P. brevicompactum was the species with the highest occurrence [41]. However, other studies identified P. expansum as the most common species in Portuguese [42], French [43], and Slovakian [30,32,40] vineyards. These species were reported in our study, too, but in the lowest frequency of occurrence.

In our study, almost all samples were colonized by the genera Alternaria and Botrytis in the endogenous mycobiota of grapes. Alternaria was the predominant genus in the endogenous mycobiota of grapes, and also in the Small Carpathians region [34], in the Central Slovak wine region [33], and in the Eastern Slovak wine region [40]. Penicillium is a common component of grapes and soils in temperate regions [8]. From the endogenous mycobiota, 64 strains of 5 Penicillium species were isolated, namely P. brevicompactum, P. crustosum, P. chrysogenum, P. polonicum, and P. raistrickii. Six samples were colonized by Penicillium species. The grape variety Cabernet Sauvignon was the most colonized by the species P. raistrickii. On the other hand, Penicillium was less frequently detected in grapes from the Small Carpathians area in 2018 with these four Penicillium species: P. citrinum, P. griseofulvum, P. hordei, and P. chrysogenum [31]. In our study, Aspergillus was as frequently occurring genus as Penicillium, but its RD was lower. All 15 isolates were identified as A. section Nigri. A similar conclusion was also reached by other authors [30,32,40,44,45,46].

Production of OTA was not confirmed in grapes from some Slovak wine-growing zones such as the Central Slovak wine region [34], the Eastern Slovak wine region [41], the Tokaj wine region [30], or the Small Carpathians wine region [40]. These results differ from other reports demonstrating OTA contamination in Vitis vinifera grapes [12,38,39,47,48,49,50,51,52]. Three strains of P. crustosum from our samples were positive for RC and PA, and one strain of P. expansum was positive for RC, citrinin, and patulin. Penicillium was a common component of grapes from the Small Carpathians area from 2011 to 2013 [40] where positive toxinogenity was detected in P. crustosum on PA and RC (14/14, 100%). Penicillium expansum produced RC (5 out of 5), patulin (3 out of 5), and citrinin (2 out of 5). Patulin is considered less risky because production of significant amounts of patulin is associated with visible rotting of fruit, so almost all of the toxin can be removed by rejecting rotten fruit through selection and sorting. Nevertheless, patulin concentrations in food are subject to regulatory control in some countries [3].

5 Conclusion

The present study provides a detailed description of the filamentous fungi found on the berry surface and inside of Slovak grapes collected from the wine region largest in size and the most important over the centuries, the Small Carpathians wine region in 2021. The results show Botrytis and Alternaria as the most frequent and abundant genera that can affect the sensory profile of must and wine. OTA, griseofulvin, patulin, citrinin, RC, PA, AF B1, AF G1, and CPA production were tested by TLC method in in vitro condition. Although several grape samples analyzed were contaminated with A. section Nigri, the abundance of Aspergillus was minimal and none of the isolates produced OTA. This is of crucial importance for understanding the fungal hazards for grapes and subsequently for wine and for the knowledge of field ecology of the fungal species. We recommend regular monitoring of mycological colonization of grapes, especially during harvest, with a focus on toxinogenic genera. Attention should also be focused on research aimed at mitigating mycotoxins in grapes or wine.

Acknowledgments

This publication was supported by the Operational Program Integrated Infrastructure within the project: Demand-driven research for the sustainable and innovative food, Drive4SIFood 313011V336, co-financed by the European Regional Development Fund.

  1. Funding information: This research was funded by KEGA project no. 010SPU-4/2021.

  2. Author contributions: Conceptualization: S.F.; methodology: S.F. and M.K.; formal analysis: S.F., J.S., N.Č., P.Ł.K., and M.K.; resources: J.S. and M.K.; data curation: S.F., J.S., N.Č., and M.K.; writing – original draft preparation: S.F.; writing – review and editing: S.F., N.Č., P.Ł.K., and M.K.; supervision: S.F. and M.K.

  3. Conflict of interest: Przemysław Łukasz Kowalczewski, who is the co-author of this article, is a current Editorial Board member of Open Life Sciences. This fact did not affect the peer-review process.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Received: 2023-04-02
Revised: 2023-05-28
Accepted: 2023-07-18
Published Online: 2023-09-07

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  203. Markov model combined with MR diffusion tensor imaging for predicting the onset of Alzheimer’s disease
  204. Effectiveness of the treatment of depression associated with cancer and neuroimaging changes in depression-related brain regions in patients treated with the mediator-deuterium acupuncture method
  205. Molecular mechanism of colorectal cancer and screening of molecular markers based on bioinformatics analysis
  206. Monitoring and evaluation of anesthesia depth status data based on neuroscience
  207. Exploring the conformational dynamics and thermodynamics of EGFR S768I and G719X + S768I mutations in non-small cell lung cancer: An in silico approaches
  208. Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer
  209. Incidence of different pressure patterns of spinal cerebellar ataxia and analysis of imaging and genetic diagnosis
  210. Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model
  211. Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders
  212. From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology
  213. Ecology and Environmental Science
  214. Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem
  215. Comparing the differences of prokaryotic microbial community between pit walls and bottom from Chinese liquor revealed by 16S rRNA gene sequencing
  216. Effects of cadmium stress on fruits germination and growth of two herbage species
  217. Bamboo charcoal affects soil properties and bacterial community in tea plantations
  218. Optimization of biogas potential using kinetic models, response surface methodology, and instrumental evidence for biodegradation of tannery fleshings during anaerobic digestion
  219. Understory vegetation diversity patterns of Platycladus orientalis and Pinus elliottii communities in Central and Southern China
  220. Studies on macrofungi diversity and discovery of new species of Abortiporus from Baotianman World Biosphere Reserve
  221. Food Science
  222. Effect of berrycactus fruit (Myrtillocactus geometrizans) on glutamate, glutamine, and GABA levels in the frontal cortex of rats fed with a high-fat diet
  223. Guesstimate of thymoquinone diversity in Nigella sativa L. genotypes and elite varieties collected from Indian states using HPTLC technique
  224. Analysis of bacterial community structure of Fuzhuan tea with different processing techniques
  225. Untargeted metabolomics reveals sour jujube kernel benefiting the nutritional value and flavor of Morchella esculenta
  226. Mycobiota in Slovak wine grapes: A case study from the small Carpathians wine region
  227. Elemental analysis of Fadogia ancylantha leaves used as a nutraceutical in Mashonaland West Province, Zimbabwe
  228. Microbiological transglutaminase: Biotechnological application in the food industry
  229. Influence of solvent-free extraction of fish oil from catfish (Clarias magur) heads using a Taguchi orthogonal array design: A qualitative and quantitative approach
  230. Chromatographic analysis of the chemical composition and anticancer activities of Curcuma longa extract cultivated in Palestine
  231. The potential for the use of leghemoglobin and plant ferritin as sources of iron
  232. Investigating the association between dietary patterns and glycemic control among children and adolescents with T1DM
  233. Bioengineering and Biotechnology
  234. Biocompatibility and osteointegration capability of β-TCP manufactured by stereolithography 3D printing: In vitro study
  235. Clinical characteristics and the prognosis of diabetic foot in Tibet: A single center, retrospective study
  236. Agriculture
  237. Biofertilizer and NPSB fertilizer application effects on nodulation and productivity of common bean (Phaseolus vulgaris L.) at Sodo Zuria, Southern Ethiopia
  238. On correlation between canopy vegetation and growth indexes of maize varieties with different nitrogen efficiencies
  239. Exopolysaccharides from Pseudomonas tolaasii inhibit the growth of Pleurotus ostreatus mycelia
  240. A transcriptomic evaluation of the mechanism of programmed cell death of the replaceable bud in Chinese chestnut
  241. Melatonin enhances salt tolerance in sorghum by modulating photosynthetic performance, osmoregulation, antioxidant defense, and ion homeostasis
  242. Effects of plant density on alfalfa (Medicago sativa L.) seed yield in western Heilongjiang areas
  243. Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
  244. Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture
  245. Animal Sciences
  246. Effect of ketogenic diet on exercise tolerance and transcriptome of gastrocnemius in mice
  247. Combined analysis of mRNA–miRNA from testis tissue in Tibetan sheep with different FecB genotypes
  248. Isolation, identification, and drug resistance of a partially isolated bacterium from the gill of Siniperca chuatsi
  249. Tracking behavioral changes of confined sows from the first mating to the third parity
  250. The sequencing of the key genes and end products in the TLR4 signaling pathway from the kidney of Rana dybowskii exposed to Aeromonas hydrophila
  251. Development of a new candidate vaccine against piglet diarrhea caused by Escherichia coli
  252. Plant Sciences
  253. Crown and diameter structure of pure Pinus massoniana Lamb. forest in Hunan province, China
  254. Genetic evaluation and germplasm identification analysis on ITS2, trnL-F, and psbA-trnH of alfalfa varieties germplasm resources
  255. Tissue culture and rapid propagation technology for Gentiana rhodantha
  256. Effects of cadmium on the synthesis of active ingredients in Salvia miltiorrhiza
  257. Cloning and expression analysis of VrNAC13 gene in mung bean
  258. Chlorate-induced molecular floral transition revealed by transcriptomes
  259. Effects of warming and drought on growth and development of soybean in Hailun region
  260. Effects of different light conditions on transient expression and biomass in Nicotiana benthamiana leaves
  261. Comparative analysis of the rhizosphere microbiome and medicinally active ingredients of Atractylodes lancea from different geographical origins
  262. Distinguish Dianthus species or varieties based on chloroplast genomes
  263. Comparative transcriptomes reveal molecular mechanisms of apple blossoms of different tolerance genotypes to chilling injury
  264. Study on fresh processing key technology and quality influence of Cut Ophiopogonis Radix based on multi-index evaluation
  265. An advanced approach for fig leaf disease detection and classification: Leveraging image processing and enhanced support vector machine methodology
  266. Erratum
  267. Erratum to “Protein Z modulates the metastasis of lung adenocarcinoma cells”
  268. Erratum to “BRCA1 subcellular localization regulated by PI3K signaling pathway in triple-negative breast cancer MDA-MB-231 cells and hormone-sensitive T47D cells”
  269. Retraction
  270. Retraction to “Protocatechuic acid attenuates cerebral aneurysm formation and progression by inhibiting TNF-alpha/Nrf-2/NF-kB-mediated inflammatory mechanisms in experimental rats”
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