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Article

Volatile Organic Compounds Emitted by Aspergillus flavus Strains Producing or Not Aflatoxin B1

by
Laurie Josselin
1,*,
Caroline De Clerck
2,
Marthe De Boevre
3,
Antonio Moretti
4,
M. Haïssam Jijakli
5,
Hélène Soyeurt
6 and
Marie-Laure Fauconnier
1
1
Laboratory of Chemistry of Natural Molecules, Gembloux Agro-Bio Tech, Liege University, Passage des déportés 2, 5030 Gembloux, Belgium
2
AgricultureIsLife, Gembloux Agro-Bio Tech, Liege University, Passage des déportés 2, 5030 Gembloux, Belgium
3
Centre of Excellence in Mycotoxicology and Public Health, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Gent, Belgium
4
Institute of Sciences of Food Production, National Research Council, Via Amendola 122/o, 70126 Bari, Italy
5
Integrated and Urban Plant Pathology Laboratory, Gembloux Agro-Bio Tech, Liege University, Passage des déportés 2, 5030 Gembloux, Belgium
6
Statistic, Informatic and Applied Modelling, Gembloux Agro-Bio Tech, Liege University, Passage des déportés 2, 5030 Gembloux, Belgium
*
Author to whom correspondence should be addressed.
Toxins 2021, 13(10), 705; https://doi.org/10.3390/toxins13100705
Submission received: 3 July 2021 / Revised: 16 September 2021 / Accepted: 28 September 2021 / Published: 6 October 2021
(This article belongs to the Special Issue New Insight into Fusarium Toxins and Aflatoxins)

Abstract

:
Aspergillus flavus is a phytopathogenic fungus able to produce aflatoxin B1 (AFB1), a carcinogenic mycotoxin that can contaminate several crops and food commodities. In A. flavus, two different kinds of strains can co-exist: toxigenic and non-toxigenic strains. Microbial-derived volatile organic compounds (mVOCs) emitted by toxigenic and non-toxigenic strains of A. flavus were analyzed by solid phase microextraction (SPME) coupled with gas chromatography–mass spectrometry (GC-MS) in a time-lapse experiment after inoculation. Among the 84 mVOCs emitted, 44 were previously listed in the scientific literature as specific to A. flavus, namely alcohols (2-methylbutan-1-ol, 3-methylbutan-1-ol, 2-methylpropan-1-ol), aldehydes (2-methylbutanal, 3-methylbutanal), hydrocarbons (toluene, styrene), furans (2,5-dimethylfuran), esters (ethyl 2-methylpropanoate, ethyl 2-methylbutyrate), and terpenes (epizonaren, trans-caryophyllene, valencene, α-copaene, β-himachalene, γ-cadinene, γ-muurolene, δ-cadinene). For the first time, other identified volatile compounds such as α-cadinol, cis-muurola-3,5-diene, α-isocomene, and β-selinene were identified as new mVOCs specific to the toxigenic A. flavus strain. Partial Least Square Analysis (PLSDA) showed a distinct pattern between mVOCs emitted by toxigenic and non-toxigenic A. flavus strains, mostly linked to the diversity of terpenes emitted by the toxigenic strains. In addition, the comparison between mVOCs of the toxigenic strain and its non-AFB1-producing mutant, coupled with a semi-quantification of the mVOCs, revealed a relationship between emitted terpenes (β-chamigrene, α-corocalene) and AFB1 production. This study provides evidence for the first time of mVOCs being linked to the toxigenic character of A. flavus strains, as well as terpenes being able to be correlated to the production of AFB1 due to the study of the mutant. This study could lead to the development of new techniques for the early detection and identification of toxigenic fungi.
Key Contribution: Compared to the non-toxigenic strain, the toxigenic strains of A. flavus showed significant emission of terpenes. These terpenes varied over time depending on the presence of AFB1.

1. Introduction

Contamination by filamentous fungal species such as Aspergillus, Fusarium, and Penicillium in different types of agricultural commodities such as grains is a common phenomenon [1,2]. Many species of these genera have the ability to produce small, non-volatile, secondary metabolites, namely mycotoxins, which are (possibly) harmful for humans and more generally to all vertebrates, even at low concentrations. These fungi have the ability to produce mycotoxins during pre- or post-harvest conditions, and could possibly exert adverse health effects upon dietary consumption by both animal and humans. Besides the latter, the damage of fungi on the agricultural crop leads to residual crop and subsequent trade loss for the agricultural entrepreneurs [3,4,5]. In particular, many species of Aspergillus can colonize cereals [6], including Aspergillus flavus, which occurs frequently on maize at different stages of both pre-harvest and post-harvest conditions [7,8]. The A. flavus species includes toxigenic strains producing mycotoxins and non-toxigenic strains not producing mycotoxins. Their difference is linked to the presence of a gene in the toxigenic strains that gives them the ability to produce aflatoxins [9,10]. The main mycotoxin produced by A. flavus is aflatoxin B1 (AFB1) [11]. Studies have shown that human chronic exposure to AFB1 may lead to hepatocellular cancer, and that a single acute exposure could result in the death of the consumer [12,13].
The determination of the aflatoxins content in cereals is commonly performed using liquid chromatography coupled to mass spectrometry (LC-MS/MS), however, under certain conditions, such as in the field, rapid immuno-chromatographic competitive assay strips are used to enable a fast decisive result [14,15]. When applying quantitative LC-MS/MS procedures, an extensive sample clean-up is required, and the analysis itself is expensive, complex, and requires trained staff. These tests are therefore not suitable to analyze large numbers of samples in, for example, a remote setting where fast results are required [16,17,18,19].
Several scientific reports have already shown that there is a correlation between the occurrence of certain volatile organic compounds (VOCs) and the presence of fungi in foodstuffs [20,21], as well as in indoor buildings [22,23]. These VOCs have been referred to as microbial VOCs (mVOCs) [24]. Even if mycotoxins are not volatile contaminants, we hypothesize that their production is possibly linked to the emission of mVOCs, produced through common parts of biosynthetic pathways linked to the mycotoxin production [10]. Citron et al. highlighted the correlation between the secondary metabolism of Actinomycetes that are rich in terpenoids and their genome [25]. Keller et al. studied the synthesis of molecules from the secondary metabolism of fungi and the production of toxins [26].
In A. flavus, not all strains have the same toxigenic potential, it is common to isolate and identify strains that produce AFB1 and strains that do not. These latter strains are called non-toxigenic strains and, since they lack different genes of the AFB1 biosynthetic gene cluster, are used as biological control agents on several crops to reduce the incidence of AFB1-producing strains [27].
The objective of this work is to determine if specific mVOCs are emitted when mycotoxins are produced in the setting of A. flavus strains, with the final aim of developing rapid online detection systems. These specific mVOCs could allow a faster and indirect detection of AFB1 produced by A. flavus. In this study, we have analyzed the mVOCs emitted by non-toxigenic and toxigenic strains of A. flavus. In addition, we have compared the emission of a toxigenic strain producing AFB1 (ITEM 8111) with its non-aflatoxigenic mutant (ITEM 8111*).

2. Results

The results are derived from the detection of mVOCs emitted at different days of fungal growth of the three strains studied, as well as their AFB1 concentration. The method and experimentation are summarized in Figure 1.

2.1. Aflatoxin Concentrations

AFB1 concentrations in the toxigenic AFB1-producing strain (ITEM 8111) were: 70.30 µg·kg−1 on day 3; 82.20 µg·kg−1 on day 5; 2321.60 µg·kg−1 on day 7; and 149.20 µg·kg−1 on day 9 after inoculation. AFB1 concentrations in the toxigenic non-aflatoxin producing strain (ITEM 8111*) were below the limit of quantification (<3 µg·kg−1).
As expected, no aflatoxins were detected in the non-toxigenic samples (ITEM 8088).

2.2. mVOCs Screening

The 84 compounds identified to be emitted by the three A. flavus strains (35 terpenes, 3 ketones, 2 furans, 4 alkenes, 9 alkanes, 4 aldehydes, 11 alcohols, 6 esters, 2 acids, 2 others, and 6 non-identified) are listed in Table 1.
We observed that the non-toxigenic strain emits a smaller number of mVOCs than the toxigenic strains. A total of 22 mVOCs common to toxigenic and non-toxigenic strains were released (Figure 2).
Ethanol, 2-methylpropan-1-ol, 2-methylbutan-1-ol, 3-methylbutan-1-ol, and propan-1-ol were predominant for each day studied with similar values for each strain. Some hydrocarbons (2,2,4,6,6-pentamethylheptane, hexane, heptane, styrene), aldehydes (2-methyl-2-butenal, 2-methylbutanal, 3-methylbutanal), and esters (ethyl isobutyrate, ethyl propanoate, ethyl acetate, ethyl 2-methylbutyrate) were also detected in common, as well as 2,5-dimethylfuran, 3-hydroxybutan-2-one, 2,4,5-trimethyl-1,3-dioxolane, trichloromethane, and a single terpene (β-himachalene) (Table 1).
Some compounds were specifically and punctually emitted by the non-toxigenic strain (ITEM 8088):
-
On day 7: (E,Z)-1,2-diethylidenecyclopentane, NI 640, NI 729, NI 756;
-
On day 9: propan-2-ol with a large relative area of 72.3%;
-
Sno specific compound emission is recorded on day 3 and on day 5.
Interestingly, with the exception of β-himachalene emitted punctually on day 3, no terpene emission was detected during the 9 days of analysis for the non-toxigenic strain.
The main difference that characterizes the toxigenicity of the strains is the abundance of terpenes emitted by the toxigenic strains (Figure 3).
In the case of the toxigenic strains (ITEM 8111 and ITEM 8111*), 60 different mVOCs have been identified, among which 27 as β-cadinene or viridiflorol were emitted in common (Figure 1).
For both strains, we observed a similar punctual emission on day 3 of decan-1-ol, 2-butyloctan-1-ol, aromadendrene, epi-cubeno-1-ol, palustrol, trans-caryophyllene, viridiflorol, α-calacorene, α-copaene, α-cubebene, and β-cadinene.
Unlike in the non-toxigenic strain, a constant emission of epizonaren and δ-cadinene was recorded.
Like in ITEM 8088, styrene was detected on day 3, but unlike in the non-toxigenic strain, where emissions were punctual, styrene emissions in the strain ITEM 8111 producing AFB1 persisted during the 9 day period considered.
In the AFB1- producing strain (ITEM 8111), 2 -methylbutanal and 2-methylbut-2-enal were continuously emitted, while they were emitted only on day 3 by the non-AFB1-producing strain (ITEM 8111*). Cis-muurola-3,5-diene, germacrene-D, α-cadinene, α-gurjunene, α-isocomene, β-elemene, and γ-cadinene were emitted more or less regularly by the two toxigenic strains.
Interesting differences were spotted between the two toxigenic strains. Several molecules (heptadecane, γ-gurjunene, epi-bicyclosesquiphellandrene, and α-selinene) were punctually emitted (usually on day 3) for the AFB1-producing strain (ITEM 8111), while the emissions persist in time for the non-AFB1-producing strain (ITEM 8111*).
Butan-2,3-diol, nonyl-cyclopropane, 4,6-dimethyldodecane, octane, toluene, ethyl butyrate, NI 1323, and 2-methylfuran were only detected for the AFB1-producing strain (ITEM 8111).
Hydrocarbons (methyl-cyclooctane, dodec-1-ene, bicyclo[2.2.0]hexa-2,5-diene), one ester (ethyl benzeneacetate), one ketone (butan-2-one), one alcohol (butan-1-ol), terpenes (4a,8-dimethyl-2-(prop-1-en-2-yl)-1,2,3,4,4a,5,6,7-octahydronaphthalene, (7a-Isopropenyl-4, 5-dimethyloctahydroinden-4-yl)methanol, di-epi-1,10-cubenol, valencene, α-corocalene, β-chamigrene, τ-muurolol), and other (including unidentified) compounds (thiochroman-4-one, NI 1271, NI 1501) were only detected for the non-AFB1-producing mutant of strain ITEM 8111.
In comparison with the other strains, AFB1-producing strain (ITEM 8111) has the lowest terpene diversity. These terpenes emissions decreased over time until their total absence at day 9. In addition, the total number of terpenes emitted by the non-AFB1-producing mutant of strain ITEM 8111 was higher than for the AFB1-producing strain (ITEM 8111), on all days considered (Figure 4).
The majority of terpenes’ highest emissions were detected at the 3rd day. Among the 32 terpenes emitted, 26 were in common and were emitted in similar proportions in both toxigenic strains. However, 6 compounds were specific to the non-AFB1-producing mutant of strain ITEM 8111 (Figure 5).

2.3. mVOCS Related to Toxigenic Characteristic

Partial Least Square Analysis (PLSDA) shows the presence of a split according to the toxigenicity of the strain (Figure 6a). This division is mainly related to the terpenes emitted by the toxigenic strains. The indicator molecules that can be used for toxigenicity are epizonarene, δ-cadinene, germacrene-D, β-himachalene, γ-cadinene, β-selinene, γ-gurjunene, α-isocomene, and α -cadinene. Ethyl 2-methylbutyrate and heptane can be linked with the non-toxigenic strain.
Notable discrepancies were confirmed in the group of the toxigenic strain and its mutant (Figure 6b). Indeed, styrene, β-selinene, and γ-gurjunene emissions separated the AFB1-producing strain (ITEM 8111) and the non-AFB1-producing strain (ITEM 8111*).
For the most interesting molecules, identified through Table 1 and PLSDA, concentrations were determined on day 3, in order to emphasize qualitative as well as quantitative differences (Table 2).

3. Discussion

3.1. mVOCs

In our study, we have identified 57 compounds already known to be emitted by fungi (Table 1). In particular, we have identified 13 compounds known to be associated with the fungal presence (a in Table 1) and/or the genus Aspergillus (b in Table 1), and more precisely, 44 compounds known in the literature to be involved with the presence of A. flavus strains (c in Table 1) [10,23,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42]. In addition, 20 compounds (not counting the 6 unidentified compounds) were identified for the first time to be emitted by A. flavus.
Among them: 2-butyloctan-1-ol, α-cadinene, α-calacorene, cis-muurola-3,5-diene, α-cubebene, α-selinene, β-cadinene, epi-cuben-1-ol, palustrol, viridiflorol, and α-isocomene, known to be emitted by fungi, were listed for the first time as specific volatiles of toxigenic strains of A. flavus (Table 1).
In addition, one new compound was systematically detected, in all strains and in significative proportions: 2-methylbut-2-enal, which was known to be emitted only from non-toxigenic strains, as per De Lucca et al. [42].
Like Sun et al. [31], we have observed that, unlike other chemical families, all strains emit the same alcohol proportions, whether toxigenic nor non-toxigenic.
The main difference between the toxigenic and the non-toxigenic strains was the presence/absence of terpenes (Figure 3). This correlation was already suggested in another study [32]. The terpenes identified are exclusively sesquiterpenes.
Terpenes are known to play several roles in nature. In fungi, they have been found to attract certain worms to defend them (trans-caryophyllene), to repel herbivores (trans-caryophyllene, α-muurolene, γ-muurolene) [35], and to be involved in inter- and intraspecific communication [43,44].
We observed that terpenes were only emitted in the case of the toxigenic strain and its mutant. Interestingly, these emissions tend to be continuous over time in the case of the non-AFB1-producing strain, while they are punctual (mainly on day 3) in the AFB1-producing strain.
Several studies have already shown that the toxigenicity of A. flavus could be associated with punctual emissions of terpenes, like trans-caryophyllene, α-gurjunene, α-muurolene, and γ-muurolene (that we detected in our study on day 3) [23,30,31,32,33,34,35], and with constant emissions of epizonaren, γ-cadinene, and γ-gurjunene [29,31,32,36], which we detected during the 9 days of growth. These compounds were not listed in the literature as being emitted by a non-toxigenic A. flavus strain. This was not the case with δ-cadinene and valencene, which were detected in our study only in the toxigenic strain and its mutant, although they have been detected in the non-toxigenic strain in other studies [30,32,33].
Interestingly, we detected the presence of β-selinene and α-selinene, which are known to be precursors to the presence of mycotoxins [23]. As with other terpenes, these compounds are only emitted by toxigenic strains. However, we observed different patterns of emission between the toxigenic strain 8111 and its non-AFB1-producing mutant: punctual emission (at day 3) for the AFB1-producing strain and continuous emission during the 9 days for the mutant strain (ITEM 8111*). We also observed this emission profile for β-himachalene, γ-cadinene, germacrene-D, α-gurjunene, and epi-bicyclosesquiphellandrene, suggesting that these compounds could, in the same way, be involved in the toxin production.
Terpenes could also act as inhibitors of AFB1 synthesis, as was shown in Holmes et al. [45]. In our study, six terpenes are specifically emitted by the non-AFB1-producing mutant strain (ITEM 8111*) and could act as inhibitors. Among them, α.-dehydro-ar-himachalene, τ-muurolol, and α-cadinol, present in some essential oils, have shown antimicrobial and/or fungicidal activities [46]. However, whether such production of terpenes was the cause of the lack of AFB1 synthesis or was triggered by this loss of mycotoxin production needs to be better evaluated.
In fungi, aflatoxins are supposed to be involved in defense against other external pathogens (bacteria, fungi, etc.) but also host-related defenses. In our non-AFB1-producing mutant strain (ITEM 8111*), the absence of AFB1 production could be compensated by an important and continuous emission of terpenes, playing similar roles.
Other interesting compounds were detected. (E,Z)-1,2-diethylidenecyclopentane was only emitted by the non-toxigenic strain and is a known compound of Laurus nobilis essential oil, which has shown antifungal activities and caused inhibition of AFB1 in vitro [46]. The thiochroman-4-one emitted by the non-AFB1-producing strain was known to be an antifungal agent involved in population regulation [47].
Ethyl 2-methylbutyrate is the only volatile that can be related to the absence of AFB1 production for both non-toxigenic and toxigenic non-AFB1-producing strains. It has been identified as specific to the genus Aspergillus [46].

3.2. Potential mVOCs Markers

Several studies have already considered the use of mVOCs as potential biomarkers to detect the presence of fungi [48] and even mycotoxin contamination [49].
However, this kind of dispositive for the detection of A. flavus is not available yet, to the best of our knowledge.
Our study provides, for the first time, a group of potential marker molecules that could be considered to determine the presence of A. flavus and its AFB1 production.
Based on our results, some volatiles emitted in significant proportions, like 3-methylbutan-1-ol and 2-methylbutanal, could be used to detect the presence of a fungal contamination. Other volatiles like 2-methylbut-2-enal, ethyl isobutyrate, ethyl acetate, and δ-cadinene are specific to A. flavus and can be used to detect a specific contamination by this fungus.
More interestingly, some volatile compounds can be used to specifically detect the presence of A. flavus toxigenic strains. Among them, epizonaren is a good candidate, as it is emitted in significant proportion (5 ppb) continuously on every day of growth only by toxigenic strains. In other studies, this compound was already used as a fungal indicator [36] related to A. flavus [34] and has been detected for several A. flavus toxigenic strains [46].
Heptadecane, 2-methylfuran, and toluene were only detected for the toxigenic strain and could also be used as potential biomarkers. These compounds are already known as common fungal volatiles and used as indicators of fungal growth [30,39].
We did not show any mVOCs related to AFB1 production but rather to the absence of production in the non-AFB1-producing strain (ITEM 8111*). To determine the AFB1 production potential, mVOCs that are specifically emitted by strains not producing toxins will also need to be targeted: ethyl 2-methylbutyrate, β-chamigrene, α.-dehydro-ar-himachalene, α-corocalene, τ-muurolol, dodec-1-ene, 2,4,5-trimethyl-1,3-dioxolane, di-epi-1,10-cubenol, (7a-isopropenyl-4,5-dimethyloctahydroinden-4-yl)methanol, α-corocalene, and β-chamigrene. However, as some of these are emitted in low amounts, this will require the development of highly sensitive captors [39]. In this case, it could be interesting to consider the development of an electronic sensor, making the detection of productive strains in silos possible quickly and without any sample preparation [10,24,50]. The essential parameters such as selectivity and sensitivity for their design must also be taken into account [50,51,52].
Semi-quantification of terpenes showed similar amounts for the toxigenic strain ITEM 8111 and its mutant. Values ranged for day 3 from 0.1 for τ-muurolol to 8.89 ppb for β-elemene (Table 2).
The β-himachalene was detected in all our tested strains. However, its concentration was significantly higher for the non-AFB1-producing mutant (ITEM 8111*) with a peak of 2.59 ppb (against 0.74 ppb for the AFB1-producing strain) at day 3.
Styrene is common to both toxigenic strains (ITEM 8111 and 8111*) and non-toxigenic ITEM 8088 [34]. However, the amount of styrene released could be a good indicator of the absence of AFB1 production. Indeed, 29.8 × 106 ppb was released for the non-AFB1-producing mutant (ITEM 8111*), against 261.75 ppb for the AFB1-producing strain (ITEM 8111). This molecule was already detected for other fungal genera like Penicillium sp., but the detected concentrations were much lower [39,49].
If the developed captors allow temporal and quantitative observations, γ-gurjunene, γ-cadinene, β-elemene, and α-selinene could act as additional indicators, as they are emitted in high proportions on the 3rd day of growth of the AFB1-producing strains (ITEM 8111).
In order to confirm and refine the relevance of these molecules, further research is in progress on a wider variety of toxigenic and non-toxigenic strains of A. flavus. In vivo tests will also be needed to confirm the emission of the volatiles in real agronomical conditions. Several studies have indeed shown that mVOCs emitted by fungi vary with the substrate used [23,32].
To better understand the potential correlation between sesquiterpenes and aflatoxins production, a focus on metabolic pathways is needed. The origin of the terpene biosynthesis pathway is acetyl-CoA, which is then converted to malonyl-CoA by acetyl-CoA carboxylase. On the one hand, the combination of acetate and malonyl-CoA leads to the formation of hexanoyl units and then to norsolorinic acid, which is the first stable precursor of the aflatoxin biosynthetic pathway [53]. On the other hand, the farnesen backbone, the basis of many fungal sesquiterpenes, is derived from the isoprenoid biosynthetic pathway from the same acetyl-CoA molecule [54].
Recent studies are progressing to detect the genes involved in of each of the sesquiterpenes’ production [55], as well as studies on the aflatoxin biosynthetic pathway, which is being analyzed to better understand its functioning and genetic structure [9,56,57,58,59].

4. Materials and Methods

4.1. Fungal Strains

In order to investigate the above-mentioned hypotheses, fungal strains were provided by CNR-ISPA (Research National Council of Italy—Institute of Sciences of Food Production, Bari, Italy). The strains of Aspergillus flavus belong to the official collection of fungi of the Institute of Sciences of Food Production ITEM Collection, where they are available. The ITEM is recognized by the International Organization of European Culture Collections and the World Federation of Culture Collections.
Two categories of A. flavus strains were studied: a non-toxigenic strain as negative control for the aflatoxin B1 (AFB1) production (designated as ITEM 8088), and a toxigenic strain which produces AFB1 (designated as ITEM 8111), as well as its mutant (ITEM 8111*), which does not produce AFB1.

4.2. Fungi Inoculation

Fungi were grown on SNA (Synthetic Nutriment-poor Agar) medium (for 1 L, 1 g KH2PO4; 1 g KNO3; 0.5 g MgSO4·7H2O; 0.5 g KCl; 0.2 g glucose; 0.2 g sucrose; 20 g agar) and stored at −80 °C in glycerol. They were incubated at 30 °C during 7 days in darkness. The spore suspensions were prepared with Tween 20 and sterile water. The concentrations were determined using a Bürker cell and adjusted to centrally inoculate 1.15 × 103 spores·mL−1. The inoculation was carried out in 20 mL vials containing slanted PDA (Potato Dextrose Agar) to provide a larger growth surface for the fungus. The vials inoculated were incubated at 30 °C during 3, 5, 7, and 9 days in darkness before sampling. Three replicates were systematically prepared [31,43,60].

4.3. Aflatoxin Analysis

The aflatoxin incidence was determined using liquid chromatography coupled to mass spectrometry (LC-MS/MS) according to an in-house validated protocol. One gram of sample was taken and transferred into an extraction tube. Blanks and unknown samples were spiked with the volume as indicated in the following Table 3. The samples were left in the dark for approximately 15 min for re-equilibration. Five mL of acidified ethyl acetate (ethyl acetate + 1% formic acid, v/v) was added, and vortexed accordingly. The samples were shaken on an overhead shaker for 15 min, and centrifuged at 3600 rpm for 15 min. The supernatant was transferred onto a filter with a plastic Pasteur pipette, preconditioned with acidified ethyl acetate. Then, 5 mL of dichloromethane was added to all samples. The samples were vortexed, and centrifuged again at 3600 rpm for 15 min. Then, the supernatant was transferred onto a filter with a plastic Pasteur pipette, and preconditioned with dichloromethane. The residue was then evaporated completely in a warm water bath at 40 °C. The remaining fraction was dissolved in 200 µL of injection solvent. To fully dissolve the matrix, the dilution was vortexed for 2 min. Afterwards, 200 µL of hexane was added, and transferred to a centrifugal filter (0.22 µm). The sample was centrifuged for 10,000 rpm for 5 min, and 100 µL of the bottom layer was transferred into an LC-MS/MS vial. The samples were run according to a validated methodology, and the instrumental parameters were as described in Monbaliu et al. [61].

4.4. GC-MS Parameters

The volatile organic compounds (VOCs) analyses were performed on an Agilent Technologies GC 7890B fitted with a Gerstel MPS (MultiPurposeSample, (MPS, Gerstel©, Mülheiman der Ruhr, Germany) robotic autosampler with the SPME tool for SPME fibers modules and MSD 5977B (USA). The inoculated vials were incubated at 40 °C for 30 min and extracted for one hour at 40 °C with SPME fibers (Supelco, Darmstadt, Germany, DVB/CAR/DDMS, 50/30µm, 24 Ga). The VOCs separation was performed on an HP-5ms column (Agilent Technologies, Santa Clara, CA, USA, 5%-phenylmethylpolysiloxan, non-polar, 30 m × 0.250 mm × 0.25 µm) with a constant helium flow rate of 1.2 mL·min−1. The inlet SPME fibers were desorbed at 250 °C by splitless injection using an SPME inlet coating of 78.5 mm × 6.5 mm × 0.75 mm (Supelco Inc., Bellefonte, PA, USA). The temperature programs were applied as follows: 45 °C for 7 min, 5 °C·min−1 up to 70 °C, 70 °C for 3 min, 3 °C·min−1 up to 120 °C, 120 °C for 3 min, 10 °C·min−1 up to 270 °C, and a final hold at 270 °C for 5 min. The mass spectral analysis was performed using the electron ionization (EI) mode at 70 eV and scan mass range from 35 to 350 amu. The ion source and MS source temperatures were 250 ˚C and 280 ˚C, respectively [22,30,39,42].

4.5. Identification of GC-MS Analysis

The identification was made by mass spectra comparison with NIST17 and WILEY298 libraries, and using the retention indices of Kovat (standard solution of saturated n-alkane C6-C30 (1000 mg·mL−1 in hexane, Supelco, Belgium)) in order to calculate the retention indices of each molecule, then using the indices associated with the Van den Dool and Kratz method. Some identifications were confirmed by injecting pure analytical standards purchased from Sigma-Aldrich (Overijse, Belgium). Some terpenes, not commercially available were confirmed by injecting in the same chromatographic conditions an essential oil (Pranarôm, Belgium) typically containing this compound as the main compound [35,62]. In this perspective, γ-gurjunene, δ-cadinene, γ-cadinene, and viridiflorol have been identified with the essential oil of Cistus ladaniferus; the δ-cadinene, α-selinene, α-copaene, and τ-muurolol with the essential oil of Cedrelopsis grevei; and finally, the β-himachalene with the essential oil of Cedrus deodara.

4.6. Statistical Model

Statistics were performed using metaboanalyst (http://www.metaboanalyst.ca, accessed on 26 march 2021) [63]. Partial Least Square Analysis (PLSDA) models were built using four components (1) to discriminate the toxigenic versus non-toxigenic strains and (2) to discriminate three classes: AFB1-producing strain, non-AFB1-producing strain, and non-toxigenic strain. For all models, the features (i.e., GCMS profiles) were log transformed and mean centered. The discrimination was visualized by plotting the first PLSDA components.

4.7. Semi-Quantification

In order to semi-quantify the compounds of a sample, a mixture composed of the molecules of interest as well as the five most abundant molecules present in this sample of fungi was carried out by preserving the relative area proportions between each molecule (stock solution). The standards used were bought from Sigma-Aldrich (Overijse, Belgium) when commercially available as 2-methylbutan-1-ol, 3-methylbutan-1-ol, styrene, valencene (70% purity), and heptadecane. Terpenes not commercially available were semi-quantified using valencene as a reference standard. The construction of the calibration curves was established by successive dilution of the initial mixture in ethanol (D1 = 300 µL of the stock solution, D2 = 1/2D1, D3 = 1/2D2, D4 = 150 µL of the stock solution, D5 = 1/2D4). After stirring, a volume of 1 µL of the diluted solutions was deposited at the bottom of a 20 mL vial and analyzed concomitantly as the samples [64,65,66,67,68,69,70,71,72,73,74,75,76].

5. Conclusions

In conclusion, new mVOCS were associated with A.flavus, in addition to those already known in the literature to be common to A. flavus and other species of the genus Aspergillus. Comparison of non-toxigenic and toxigenic strains identified potential biomarkers, mainly terpenes, to differentiate these two categories (Figure 7). Comparison of the volatiles emitted by the toxigenic AFB1-producing strain and its non-AFB1-producing mutant surprisingly allowed the detection of a dramatic variability in terpene production between these two strains related to the lack of AFB1 production. Studies to identify genomic as well as stability assessment of this mutation that inhibited AFB1 production in the ITEM 8111* mutant strain will be performed. An approach focused on the metabolic pathways of mVOCs specific to toxigenic strains, and in particular those of certain terpenes emitted by the non-AFB1-producing toxigenic strain could be proposed in order to clarify their impact on the expression of the AFB1 biosynthesis genes, and thus determine their influence at a different scale of the fungi [58].
Finally, the semi-quantification of some molecules allowed the definition of detection thresholds for the conception of a future molecular fingerprint sensor.

Author Contributions

Conceptualization, L.J., C.D.C. and M.-L.F.; methodology, L.J., C.D.C. and M.-L.F.; validation, L.J., C.D.C., H.S. and M.-L.F.; formal analysis, L.J. and H.S.; investigation, L.J.; resources, C.D.C., M.D.B., A.M., M.H.J., H.S. and M.-L.F.; data curation, L.J.; writing—original draft preparation, L.J.; writing—review and editing, L.J., C.D.C., M.D.B., A.M., M.H.J., H.S. and M.-L.F.; visualization, L.J.; supervision, L.J., C.D.C. and M.-L.F.; project administration, L.J.; funding acquisition, M.-L.F. All authors have read and agreed to the published version of the manuscript.

Funding

This work was financially supported by the European Regional Development Fund (ERDF) and the Walloon Region of Belgium, through the Interreg V France-Wallonie-Vlaanderen program, under the PATHACOV project (No. 1.1.297); and the Micro+ project co-funded by the ERDF and Wallonia, Belgium (No. 675781-642409).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

The authors would like to thank the Walinnov project OILPROTECT (1610128) granted by Wallonia via the “SPF-Economie Emploi Recherche”, Win2Wal program, and the AGROSENSOR project, which is part of the “Pole de compétitivité WAGRALIM” and was financially supported by the “Service public de Wallonie” (SPW). We would like to thank Franck Michels, Thomas Bertrand, Danny Trisman, and Pierre Jacquet for their technical contribution in this work.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Ekwomadu, T.I. Occurrence of filamentous fungi in maize destined for human consumption in South Africa. Food Sci. Nutr. 2018, 6, 884–890. [Google Scholar] [CrossRef]
  2. Laboratories, S.B.; Salleh, B.; Saad, B.; Abbas, H.K. An overview of mycotoxin contamination in foods and its implications for human health. Toxin Rev. 2010, 29, 2–26. [Google Scholar] [CrossRef]
  3. Enyiukwu, D.N.; Awurum, A.N.; Nwaneri, J.A. Mycotoxins in Stored Agricultural Products: Implications to Food Safety and Health and Prospects of Plant-derived Pesticides as Novel Approach to their Management. Greener J. Microbiol. Antimicrob. 2014, 2, 32–48. [Google Scholar] [CrossRef]
  4. Alshannaq, A.; Yu, J.H. Occurrence, toxicity, and analysis of major mycotoxins in food. Int. J. Environ. Res. Public Health 2017, 14, 632. [Google Scholar] [CrossRef] [Green Version]
  5. Moretti, A.; Logrieco, A.F.; Susca, A. Chapter 1 Mycotoxins: An Underhand Food Problem. In Methods in Molecular Biology; Humana Press Inc.: Totowa, NJ, USA, 2017; Volume 1542, pp. 3–12. [Google Scholar] [CrossRef]
  6. Survey, A.T. Global Mycotoxin Occurrence in Feed: A ten-year survey. Toxins 2019, 11, 375. [Google Scholar] [CrossRef] [Green Version]
  7. Keller, L.A.M.; Pereyra, M.L.G.; Keller, K.M.; Alonso, V.A.; Oliveira, A.A.; Almeida, T.X.; Barbosa, T.S.; Nunes, L.M.T.; Cavaglieri, L.R.; Rosa, C.A.R. Fungal and mycotoxins contamination in corn silage: Monitoring risk before and after fermentation Fungal and mycotoxins contamination in corn silage: Monitoring risk before and after fermentation. J. Stored Prod. Res. 2013, 52, 42–47. [Google Scholar] [CrossRef]
  8. Chauhan, Y.; Tatnell, J.; Krosch, S.; Karanja, J.; Gnonlonfin, B.; Wanjuki, I.; Wainaina, J.; Harvey, J. An improved simulation model to predict pre-harvest aflatoxin risk in maize. Field Crop. Res. 2015, 178, 91–99. [Google Scholar] [CrossRef] [Green Version]
  9. Yu, J.; Chang, P.K.; Ehrlich, K.C.; Cary, J.W.; Bhatnagar, D.; Cleveland, T.E.; Payne, G.A.; Linz, J.E.; Woloshuk, C.P.; Bennett, J.W. Clustered Pathway Genes in Aflatoxin Biosynthesis. Appl. Environ. Microbiol. 2004, 70, 1253–1262. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Caceres, I.; Khoury, A.A.l.; El Khoury, R.; Lorber, S.; Oswald, I.P.; El Khoury, A.; Atoui, A.; Puel, O.; Bailly, J.D. Aflatoxin biosynthesis and genetic regulation: A review. Toxins 2020, 12, 150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Klich, M.A. Aspergillus flavus: The major producer of aflatoxin. Mol. Plant Pathol. 2007, 8, 713–722. [Google Scholar] [CrossRef]
  12. Schrenk, D.; Bignami, M.; Bodin, L.; Chipman, J.K.; Grasl-kraupp, B.; Hogstrand, C.; Hoogenboom, L.R.; Leblanc, J.; Nebbia, C.S.; Nielsen, E.; et al. Risk assessment of aflatoxins in food. EFSA J. 2020, 18, 6040. [Google Scholar] [CrossRef]
  13. Food, E.; Authority, S. Outcome of a Public Consultation on the Draft Risk Assessment of Aflatoxins in Food; EFSA Supporting Publications: Parma, Italy, 2020; Volume 17, Issue 3. [Google Scholar] [CrossRef] [Green Version]
  14. Laganà, A. LC-MS/MS Method for Mycotoxin Analysis; MDPI: Basel, Switzerland, 2017; ISBN 9783038426066. [Google Scholar]
  15. Matabaro, E.; Ishimwe, N.; Uwimbabazi, E.; Lee, B.H. Current Immunoassay Methods for the Rapid Detection of Aflatoxin in Milk and Dairy Products. Compr. Rev. Food Sci. Food Saf. 2017, 16, 808–820. [Google Scholar] [CrossRef] [PubMed]
  16. Murphy, P.A.; Hendrich, S.; Landgren, C.; Bryant, C.M. Food mycotoxins: An update. J. Food Sci. 2006, 71, 51–65. [Google Scholar] [CrossRef]
  17. Freire, L.; Sant’Ana, A.S. Modified mycotoxins: An updated review on their formation, detection, occurrence, and toxic effects. Food Chem. Toxicol. 2018, 111, 189–205. [Google Scholar] [CrossRef]
  18. Berthiller, F.; Cramer, B.; Iha, M.H.; Krska, R.; Lattanzio, V.M.T.; MacDonald, S.; Malone, R.J.; Maragos, C.; Solfrizzo, M.; Stranska-Zachariasova, M.; et al. Developments in mycotoxin analysis: An update for 2016–2017. World Mycotoxin J. 2018, 10, 1–28. [Google Scholar] [CrossRef] [Green Version]
  19. Gelderblom, W.C.; Shephard, G.S.; African, S.; Vismer, H. Mycotoxins Detection Methods, Management. In Mycotoxins: Detection Methods, Management, Public Health and Agricultural Trade; CABI Publishing: Manhattan, KS, USA, 2008; pp. 29–39. ISBN 9781845930820. [Google Scholar]
  20. Bennett, J.W.; Inamdar, A.A. Are some fungal volatile organic compounds (VOCs) mycotoxins? Toxins 2015, 7, 3785–3804. [Google Scholar] [CrossRef] [Green Version]
  21. Inamdar, A.A.; Morath, S.; Bennett, J.W. Fungal Volatile Organic Compounds: More Than Just a Funky Smell? Annu. Rev. Microbiol. 2020, 74, 101–116. [Google Scholar] [CrossRef] [PubMed]
  22. Gao, P.; Korley, F.; Martin, J.; Chen, B.T. Determination of unique microbial volatile organic compounds produced by five aspergillus species commonly found in problem buildings. Am. Ind. Hyg. Assoc. J. 2002, 63, 135–140. [Google Scholar] [CrossRef]
  23. Polizzi, V.; Adams, A.; De Saeger, S.; Van Peteghem, C.; Moretti, A.; De Kimpe, N. Influence of various growth parameters on fungal growth and volatile metabolite production by indoor molds. Sci. Total Environ. 2012, 414, 277–286. [Google Scholar] [CrossRef]
  24. Lemfack, M.C.; Gohlke, B.O.; Toguem, S.M.T.; Preissner, S.; Piechulla, B.; Preissner, R. MVOC 2.0: A database of microbial volatiles. Nucleic Acids Res. 2018, 46, D1261–D1265. [Google Scholar] [CrossRef] [Green Version]
  25. Citron, C.A.; Gleitzmann, J.; Laurenzano, G.; Pukall, R.; Dickschat, J.S. Terpenoids are Widespread in Actinomycetes: A Correlation of Secondary Metabolism and Genome Data. ChemBioChem 2012, 13, 202–214. [Google Scholar] [CrossRef] [PubMed]
  26. Keller, N.P.; Turner, G.; Bennett, J.W. Fungal secondary metabolism–From biochemistry to genomics. Nat. Rev. Microbiol. 2005, 3, 937–947. [Google Scholar] [CrossRef] [PubMed]
  27. Agriopoulou, S.; Stamatelopoulou, E.; Varzakas, T. Control Strategies: Prevention and Detoxification in Foods. Foods 2020, 86, 137–138. [Google Scholar]
  28. Magan, N.; Evans, P. Volatiles as an indicator of fungal activity and differentiation between species, and the potential use of electronic nose technology for early detection of grain spoilage. J. Stored Prod. Res. 2000, 36, 319–340. [Google Scholar] [CrossRef]
  29. Pennerman, K.K.; Al-Maliki, H.S.; Lee, S.; Bennett, J.W. Fungal Volatile Organic Compounds (VOCs) and the Genus Aspergillus; Elsevier B.V.: Amsterdam, The Netherlands, 2016; ISBN 9780444635136. [Google Scholar]
  30. Sun, D.; Wood-Jones, A.; Wang, W.; Vanlangenberg, C.; Jones, D.; Gower, J.; Simmons, P.; Baird, R.E.; Mlsna, T.E. Monitoring MVOC Profiles over Time from Isolates of Aspergillus flavus Using SPME GC-MS. J. Agric. Chem. Environ. 2014, 3, 48–63. [Google Scholar] [CrossRef] [Green Version]
  31. Zeringue, H.J.; Bhatnagar, D.; Cleveland, T.E. C15H24 Volatile Compounds Unique to Aflatoxigenic Strains of Aspergillus flavus. Appl. Environ. Microbiol. 1993, 59, 2264–2270. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Jurjevic, Z.; Rains, G.C.; Wilson, D.M.; Lewis, W.J. Volatile metabolites associated with one aflatoxigenic and one nontoxigenic Aspergillus flavus strain grown on two different substrates. Phytopathol. Mediterr. 2008, 47, 266–271. [Google Scholar] [CrossRef]
  33. Heddergott, C.; Latgé, J.P.; Calvo, A.M. The volatome of Aspergillus fumigatus. Eukaryot. Cell 2014, 13, 1014–1025. [Google Scholar] [CrossRef] [Green Version]
  34. Kramer, R.; Abraham, W.R. Volatile sesquiterpenes from fungi: What are they good for? Phytochem. Rev. 2012, 11, 15–37. [Google Scholar] [CrossRef] [Green Version]
  35. Polizzi, V.; Adams, A.; Malysheva, S.V.; De Saeger, S.; Van Peteghem, C.; Moretti, A.; Picco, A.M.; De Kimpe, N. Identification of volatile markers for indoor fungal growth and chemotaxonomic classification of Aspergillus species. Fungal Biol. 2012, 116, 941–953. [Google Scholar] [CrossRef]
  36. Jeleń, H.; Wąsowicz, E. Volatile fungal metabolites and their relation to the spoilage of agricultural commodities. Food Rev. Int. 1998, 14, 391–426. [Google Scholar] [CrossRef]
  37. de Lucca, A.J.; Boué, S.M.; Carter-Wientjes, C.; Bhatnagar, D. Volatile profiles and aflatoxin production by toxigenic and non-toxigenic isolates of Aspergillus flavus grown on sterile and non-sterile cracked corn. Ann. Agric. Environ. Med. 2012, 19, 91–98. [Google Scholar] [PubMed]
  38. Dickschat, J.S.; Celik, E.; Brock, N.L. Volatiles from three genome sequenced fungi from the genus Aspergillus. Beilstein J. Org. Chem. 2018, 14, 900–910. [Google Scholar] [CrossRef] [Green Version]
  39. Sun, D.; She, J.; Gower, J.L.; Stokes, C.E.; Windham, G.L.; Baird, R.E.; Mlsna, T.E. Effects of Growth Parameters on the Analysis of Aspergillus flavus Volatile Metabolites. Separations 2016, 3, 13. [Google Scholar] [CrossRef] [Green Version]
  40. Nieminen, T.; Neubauer, P.; Sivelä, S.; Vatamo, S.; Silfverberg, P.; Salkinoja-Salonen, M. Volatile compounds produced by fungi grown in strawberry jam. LWT-Food Sci. Technol. 2008, 41, 2051–2056. [Google Scholar] [CrossRef]
  41. Schnurer, J. Volatile Metabolites Produced by Six Fungal Species Compared with Other Indicators of Fungal Growth on Cereal Grains. Appl. Environ. Microbiol. 1992, 58, 2599–2605. [Google Scholar]
  42. de Lucca, A.J.; Boué, S.M.; Carter-Wientjes, C.H.; Bland, J.M.; Bhatnagar, D.; Cleveland, T.E. Volatile profiles of toxigenic and non-toxigenic Aspergillus flavus using SPME for solid phase extraction. Ann. Agric. Environ. Med. 2010, 17, 301–308. [Google Scholar]
  43. Schulz-bohm, K.; Martín-sánchez, L.; Garbeva, P. Microbial Volatiles: Small Molecules with an Important Role in Intra- and Inter-Kingdom Interactions. Front. Microbiol. 2017, 8, 1–10. [Google Scholar] [CrossRef]
  44. Weisskopf, L.; Schulz, S. Microbial volatile organic compounds in intra-kingdom and inter-kingdom interactions. Nat. Rev. Microbiol. 2021, 19, 391–404. [Google Scholar] [CrossRef] [PubMed]
  45. Holmes, R.A.; Boston, R.S.; Payne, G.A. Diverse inhibitors of aflatoxin biosynthesis. Appl. Microbiol. Biotechnol. 2008, 78, 559–572. [Google Scholar] [CrossRef] [PubMed]
  46. Ainane, A.; Benhima, R.; Khammour, F.; Elkouali, M. Composition Chimique et Activité Insecticide de cinq Huiles Essentielles: Composition Chimique et Activité Insecticide de cinq Huiles Essentielles: Cedrus Atlantica, Citrus Limonum, Eucalyptus Globules, Rosmarinus Officinalis et Syzygium Aromaticum. In Proceedings of the Biosune’1-2018. 2018, pp. 67–79. Available online: https://www.researchgate.net/publication/330637727_Composition_chimique_et_activite_anti_insecticide_des_huiles_essentielles_de_Thymus_du_Maroc_Thymus_Capitatus_Thymus_Bleicherianus_et_Thymus_Satureioides (accessed on 26 March 2021).
  47. Zhong, Y.; Han, X.; Li, S.; Qi, H.; Song, Y.; Qiao, X. Design, Synthesis, Antifungal Activity and Molecular Docking of Thiochroman-4-one Derivatives. Chem. Pharm. Bull. 2017, 65, 904–910. [Google Scholar] [CrossRef] [Green Version]
  48. Micheluz, A.; Manente, S.; Rovea, M.; Slanzi, D.; Varese, G.C.; Ravagnan, G.; Formenton, G. Detection of volatile metabolites of moulds isolated from a contaminated library. J. Microbiol. Methods 2016, 128, 34–41. [Google Scholar] [CrossRef] [Green Version]
  49. Lippolis, V.; Cervellieri, S.; Damascelli, A.; Pascale, M.; Di Gioia, A.; Longobardi, F.; De Girolamo, A. Rapid prediction of deoxynivalenol contamination in wheat bran by MOS-based electronic nose and characterization of the relevant pattern of volatile compounds. J. Sci. Food Agric. 2018, 98, 4955–4962. [Google Scholar] [CrossRef]
  50. Zhang, Y.; Zhang, J.; Liu, Q. Gas Sensors Based on Molecular Imprinting Technology. Sensors 2017, 17, 1567. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Stahl, U.; Voigt, A.; Irschka, M.; Barié, N.; Richter, C.; Waldbaur, A.; Gruhl, F.J.; Rapp, B.E.; Rapp, M.; Länge, K. Long-term stability of polymer-coated surface transversewave sensors for the detection of organic solvent vapors. Sensors 2017, 17, 2529. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Wang, M.; Wang, X.; Moni, P.; Liu, A.; Kim, D.H.; Jo, W.J.; Sojoudi, H.; Gleason, K.K. CVD Polymers for Devices and Device Fabrication. Adv. Mater. 2017, 29, 1604606. [Google Scholar] [CrossRef] [PubMed]
  53. Sweeney, M.J.; Dobson, A.D.W. Molecular biology of mycotoxin biosynthesis. FEMS Microbiol. Lett. 1999, 175, 149–163. [Google Scholar] [CrossRef]
  54. Kribii, R.; Soustre, I.; Karst, F. Biosynthèse des isoprénoïdes. Acta Bot. Gall. 1999, 146, 5–24. [Google Scholar] [CrossRef] [Green Version]
  55. Spakowicz, D.J.; Strobel, S.A. Biosynthesis of hydrocarbons and volatile organic compounds by fungi: Bioengineering potential. Appl. Microbiol. Biotechnol. 2015, 99, 4943–4951. [Google Scholar] [CrossRef] [Green Version]
  56. Gil-Serna, J.; Vázquez, C.; Patiño, B. Genetic regulation of aflatoxin, ochratoxin A, trichothecene, and fumonisin biosynthesis: A review. Int. Microbiol. Off. J. Spanish Soc. Microbiol. 2019, 23, 89–96. [Google Scholar] [CrossRef]
  57. Srour, A.Y.; Fakhoury, A.M.; Brown, R.L. Targeting aflatoxin biosynthetic genes. Methods Mol. Biol. 2017, 1542, 159–171. [Google Scholar] [CrossRef] [PubMed]
  58. Yu, J.; Bhatnagar, D.; Ehrlich, K.C. Aflatoxin biosynthesis. Toxin Rev. 2002, 10, 87–121. [Google Scholar] [CrossRef]
  59. Schmidt, R.; Cordovez, V.; de Boer, W.; Raaijmakers, J. Volatile affairs in microbial interactions. ISME J. 2015, 9, 2329–2335. [Google Scholar] [CrossRef] [Green Version]
  60. Zeringue, H.J. Identification and effects of maize silk volatiles on cultures of Aspergillus flavus. J. Agric. Food Chem. 2000, 48, 921–925. [Google Scholar] [CrossRef]
  61. Monbaliu, S.; Van Poucke, C.; Detavernier, C.T.L.; Dumoultn, F.; Van Velde, M.D.E.; Schoeters, E.; Van Dyck, S.; Averkieva, O.; Van Peteghem, C.; De Saeger, S. Occurrence of mycotoxins in feed as analyzed by a multi-mycotoxin LC-MS/MS method. J. Agric. Food Chem. 2010, 58, 66–71. [Google Scholar] [CrossRef]
  62. Jia, C.; Batterman, S.; Chernyak, S. Development and comparison of methods using MS scan and selective ion monitoring modes for a wide range of airborne VOCs. J. Environ. Monit. 2006, 8, 1029–1042. [Google Scholar] [CrossRef]
  63. Xia, J.; Mandal, R.; Sinelnikov, I.V.; Broadhurst, D.; Wishart, D.S. MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis. Nucleic Acids Res. 2012, 40, 127–133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Fiers, M.; Lognay, G.; Fauconnier, M.L.; Jijakli, M.H. Volatile Compound-Mediated Interactions between Barley and Pathogenic Fungi in the Soil. PLoS ONE 2013, 8, e66805. [Google Scholar] [CrossRef] [Green Version]
  65. Gupta, V.K.; Tuohy, M.G.; Ayyachamy, M.; Turner, K.M.; O’Donovan, A. (Eds.) Laboratory Protocol for Fungi; Springer: Berlin, Germany, 2013; ISBN 9781461423553. [Google Scholar]
  66. Ruiz-Hernández, V.; Roca, M.J.; Egea-Cortines, M.; Weiss, J. A comparison of semi-quantitative methods suitable for establishing volatile profiles. Plant Methods 2018, 14, 67. [Google Scholar] [CrossRef] [PubMed]
  67. Sun, L.; Zhu, B.; Zhang, X.; Wang, H.; Yan, A.; Zhang, G.; Wang, X.; Xu, H. The accumulation profiles of terpene metabolites in three Muscat table grape cultivars through HS-SPME-GCMS. Sci. Data 2020, 7, 5. [Google Scholar] [CrossRef]
  68. Bousova, K.; Godula, M.; Suman, M. SPME-GC-MS/MS for Identification and Quantification of Migration Contaminants in Paperboard Food Packaging. Thermo Sci. 2015, 1–7. Available online: https://tools.thermofisher.com/content/sfs/brochures/AN-10479-GC-MS-Migration-Contaminants-Paperboard-Food-Packaging-AN10479-EN.pdf (accessed on 26 March 2021).
  69. Davis, E.M.; Croteau, R. Cyclization Enzymes in the Biosynthesis of Monoterpenes, Sesquiterpenes, and Diterpenes. Biosynthesis 2000, 209, 53–95. [Google Scholar] [CrossRef]
  70. Cincotta, F.; Verzera, A.; Tripodi, G.; Condurso, C. Determination of Sesquiterpenes in Wines by HS-SPME Coupled with GC-MS. Chromatography 2015, 2, 410–421. [Google Scholar] [CrossRef] [Green Version]
  71. Merck MilliporeSigma; Merck KGaA SPME for GC analysis. Supelco Anal. Prod. 2018, 1, 28. Available online: https://www.sigmaaldrich.com/deepweb/assets/sigmaaldrich/marketing/global/documents/298/550/solid-phase-microextraction-for-gc-mk.pdf (accessed on 26 March 2021).
  72. Spietelun, A.; Kloskowski, A.; Chrzanowski, W.; Namieśnik, J. Understanding solid-phase microextraction: Key factors influencing the extraction process and trends in improving the technique. Chem. Rev. 2013, 113, 1667–1685. [Google Scholar] [CrossRef] [PubMed]
  73. de O. Dias, D.; Colombo, M.; Kelmann, R.G.; De Souza, T.P.; Bassani, V.L.; Teixeira, H.F.; Veiga, V.F.; Limberger, R.P.; Koester, L.S. Optimization of headspace solid-phase microextraction for analysis of β-caryophyllene in a nanoemulsion dosage form prepared with copaiba (Copaifera multijuga Hayne) oil. Anal. Chim. Acta 2012, 721, 79–84. [Google Scholar] [CrossRef] [PubMed]
  74. Dziadas, M.; Jeleń, H.H. Analysis of terpenes in white wines using SPE-SPME-GC/MS approach. Anal. Chim. Acta 2010, 677, 43–49. [Google Scholar] [CrossRef] [PubMed]
  75. Bartelt, R.J. Calibration of a Commercial Solid-Phase Microextraction Device for Measuring Headspace Concentrations of Organic Volatiles. Anal. Chem. 1997, 69, 364–372. [Google Scholar] [CrossRef] [PubMed]
  76. Bartelt, R.J.; Zilkowski, B.W. Volatile-Delivery System for Laboratory Bioassays. J. Chem. Ecol. 1998, 24, 535–558. [Google Scholar] [CrossRef]
Figure 1. General outline of the experiment and the methods used.
Figure 1. General outline of the experiment and the methods used.
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Figure 2. Number of compounds (and their percentage) emitted only by one of the three strains and compounds common to two or three strains.
Figure 2. Number of compounds (and their percentage) emitted only by one of the three strains and compounds common to two or three strains.
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Figure 3. Distribution of the relative proportion of each family of molecule (NT: non-toxigenic, T: toxigenic). The percentage of non-toxigenic (NT) for the terpenes is less than 1%, so it is not visible on this graph.
Figure 3. Distribution of the relative proportion of each family of molecule (NT: non-toxigenic, T: toxigenic). The percentage of non-toxigenic (NT) for the terpenes is less than 1%, so it is not visible on this graph.
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Figure 4. Terpenes distribution between the strains (NT: non-toxigenic strain, T: toxigenic aflatoxin B1 (AFB1)-producing strain, T*: toxigenic non-AFB1-producing strain) emitted of each time point (day 3, 5, 7, 9). The percentage of non-toxigenic (NT) is only present for day 3 and less than 1%, so it is not visible on this graph.
Figure 4. Terpenes distribution between the strains (NT: non-toxigenic strain, T: toxigenic aflatoxin B1 (AFB1)-producing strain, T*: toxigenic non-AFB1-producing strain) emitted of each time point (day 3, 5, 7, 9). The percentage of non-toxigenic (NT) is only present for day 3 and less than 1%, so it is not visible on this graph.
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Figure 5. Proportion (%) of terpenes released during day 3 by the toxigenic AFB1-producing (ITEM 8111) and the toxigenic non-AFB1-producing (ITEM 8111*).
Figure 5. Proportion (%) of terpenes released during day 3 by the toxigenic AFB1-producing (ITEM 8111) and the toxigenic non-AFB1-producing (ITEM 8111*).
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Figure 6. PLSDA (Partial Least Square Analysis) applied on the data (a) of the toxigenic (T-∆) and non-toxigenic (NT-○) strains, (b) of the AFB1-producing (T-∆), the non-AFB1-producing (T*-□), and non-toxigenic (NT-○).
Figure 6. PLSDA (Partial Least Square Analysis) applied on the data (a) of the toxigenic (T-∆) and non-toxigenic (NT-○) strains, (b) of the AFB1-producing (T-∆), the non-AFB1-producing (T*-□), and non-toxigenic (NT-○).
Toxins 13 00705 g006
Figure 7. Summary of the results.
Figure 7. Summary of the results.
Toxins 13 00705 g007
Table 1. List of mVOCs present at least in two replicates. The values are the percentage of the total area. Identification by comparison with the NIST17 and Wiley298 mass spectra libraries, as well as by comparison between the literature retention index (RI (HP-5ms)), according to the method of Van Den Dool and Kratz on a non-polar HP-5ms column, and the calculated retention index (RI) for each mVOC. The retention index is established using a mixture of n-alkanes under the same chromatographic conditions.
Table 1. List of mVOCs present at least in two replicates. The values are the percentage of the total area. Identification by comparison with the NIST17 and Wiley298 mass spectra libraries, as well as by comparison between the literature retention index (RI (HP-5ms)), according to the method of Van Den Dool and Kratz on a non-polar HP-5ms column, and the calculated retention index (RI) for each mVOC. The retention index is established using a mixture of n-alkanes under the same chromatographic conditions.
ITEM 8088ITEM 8111ITEM 8111* (Mutant)
Name # CasRI (HP-5ms)RIDay 3Day 5Day 7Day 9Day 3Day 5Day 7Day 9Day 3Day 5Day 7Day 9
Acetic acidacAcid64-19-7-625----------17.79-
2-Methylpropanoic acid 79-31-2785767-----------0.51
2-Butyloctan-1-ol * Alcohol3913-02-8-1286----0.65---0.43---
2-Methylbutan-1-olac137-32-673672013.27.849.3217.816.258.8710.510.532.2116.8411.3411.35
2-Methylpropan-1-olbc78-83-162262411.3927.1037.0140.0726.6732.7650.9229.4727.1025.0836.5035.68
3-Methylbutan-1-olac123-51-373472413.311.611.914.113.0913.048.4816.621.1811.548.579.11
Butan-1-olab71-36-3668648---------8.579.459.30
Butan-2,3-diolabc513-85-9804809-0.370.43---1.04-----
Butan-2,3-diol (enantiomer)abc24347-58-8-816------0.41-----
Decan-1-olb112-30-112721272----0.53---0.36---
Ethanolabc64-17-5-57594.9510010090.4010010080.9797.5262.03100100100
Propan-1-olabc71-23-8-595-26.231.4-36.4239.7513.433.0451.7614.7737.0534.78
Propan-2-ola67-63-0-584---72.3--------
2-Methylbut-2-enal Aldehyde497-03-0737 *7234.222.193.39-4.303.145.846.703.62---
2-Methylbutanalabc96-14-066064912.5412.6415.1622.110.2610.9910.0317.099.77---
3-Methylbutanalabc590-86-36496435.215.76---10.017.3211.77----
Acetaldehydeab75-07-0-566------6.82-----
(E,Z)-1,2-diethylidenecyclopentane* AlkaneNot available-975--0.36---------
2,2,4,6,6-pentamethylheptaneb13475-82-69979841.22---0.520.63------
4,6-Dimethyldodecane * 61141-72-8-1277----0.57-------
Heptadecanebc629-78-717001696----1.39---1.610.800.470.54
Heptaneac142-82-57006771.570.260.10----0.48----
Hexanec110-54-36006124.6817.18-8.62-17.97-13.93----
Methyl-cyclooctane *c1502-38-1-1386------1.49----0.33
Nonyl-cyclopropane * 74663-85-7-1273----0.49-------
Octanec111-65-9800788-------1.76----
Bicyclo[2.2.0]hexa-2,5-diene * Alkene7641-77-2-1380-----------0.33
Dodec-1-ene 1120-36-111871188--------0.50--0.27
Styreneabc100-42-58988828.31--6.103.73---63.6442.4632.5729.06
Tolueneabc108-88-3762745-------2.37----
Ethyl 2-methylbutyratebcEster7452-79-1-8402.28-0.602.84------0.310.35
Ethyl acetatebc141-78-66126185.8712.918.717.13.6214.5-12.711.939.0013.0811.67
Ethyl butyratec105-54-4802795-------0.36----
Ethyl isobutyratec97-62-1-7401.010.421.202.090.410.31-1.281.510.620.250.43
Ethyl phenylethanoatec101-97-312481242-----------0.39
Ethyl propanoatec105-37-37146951.66--0.320.57--0.30-0.640.540.42
2,5-DimethylfurancFuran625-86-5-6890.75-0.140.21---0.15--0.250.27
2-Methylfuranabc534-22-5603615------10.71-----
3-Hydroxybutan-2-onecKetone513-86-0-695-0.370.40--2.031.26-----
Butan-2-onea78-93-3605609--------23.0012.42-19.29
Thiochroman-4-one * 3528-17-4-1124--------0.56---
NI 640 Other--640--12.7---------
NI 729 --729--1.74---------
NI 756 --756--0.110.47--------
NI 1271 --1271--------0.41---
NI 1323 --1323----0.46-------
NI 1501 --1501--------0.45---
2,4,5-Trimethyl-1,3-dioxolane * 3299-32-9752 *708--0.32---0.31-----
Trichloromethanec67-66-3-6233.76---8.20-------
4a,8-Dimethyl-2-(prop-1-en-2-yl)-1,2,3,4,4a,5,6,7-octahydronaphthalene * Terpene103827-22-1-1476---------0.460.680.57
(7a-Isopropenyl-4,5-dimethyloctahydroinden-4-yl)methanol * Not available-1738--------0.54---
Di-epi-1,10-cubenol 73365-77-216231611-----------0.16
Aromadendrenec109119-91-714441443----0.86---0.70---
cis-Muurola-3,5-diene *b157374-44-21447 *1448----2.43---1.97-0.340.26
Epi-bicyclosesquiphellandreneabc54274-73-514781463----6.27---4.041.250.850.68
Epi-cubeno-1-ol * 19912-67-51619 *1611----0.94---0.79---
Epizonarenabc41702-63-014971494----23.226.384.221.2717.547.175.154.50
Germacrene-Dab23986-74-514801480----4.240.63--3.030.920.590.46
Palustrol 5986-49-215691565----0.34---0.45---
trans-Caryophylleneabc87-44-514181414----1.63---1.12---
Valenceneabc99729714901491-----------0.69
Viridiflorol 552-02-315891589----0.51---0.74---
α.-Dehydro-ar-himachalene 78204-62-315221537--------0.36---
α-Cadineneb24406-05-115381534----1.59---0.780.24-0.09
α-Cadinol 481-34-516561654--------0.53---
α-Calacoreneb21391-99-115401540----0.55---0.56---
α-Copaeneac3856-25-513721365----1.16---1.20---
α-Corocalenebc20129-39-916291620--------0.32---
α-Cubebenea17699-14-813481342----0.69---0.79---
α-Gurjuneneac489-40-714081401----2.02---1.45-0.260.22
α-Isocomene 65372-78-313921380----3.510.47--2.210.650.40-
α-Muurolenebc31983-22-914721471----0.88---0.64---
α-Selineneab 473-13-214941491----6.73---4.731.420.88-
β-Cadinenec 523-47-7-1489----1.11---0.72---
β-Chamigrenea 18431-82-814721476--------1.05---
β-Elemene (E)abcTerpene515-13-913821376----1.85---0.93-3.051.83
β-Elemene (Z)abc515-13-913821384----35.714.15--17.105.13--
β-Himachaleneabc1461-03-6149814970.54---2.531.47--6.415.244.465.61
β-Selinenea17066-67-014791483----3.30---2.350.650.420.28
γ-Cadineneabc39029-41-915131508----18.851.93--9.953.302.091.57
γ-Gurjuneneac22567-17-514761472----10.06---6.371.661.170.95
γ-Muuroleneabc30021-74-014771477----2.80---0.99---
δ-Cadineneabc483-76-115241520----26.065.912.920.9218.116.584.433.68
τ-Muurolol 19912-62-016411644--------0.38---
NI: not identified, *: potentially identified based on the mass spectra libraries or retention index only, a: compound listed as being of filamentous fungal origin, b: compound listed as being of the genus Aspergillus, c: compound listed as being of the species Aspergillus flavus in accordance with the literature [10,23,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42].
Table 2. Compounds quantification (ppb) emitted by the strains on day 3.
Table 2. Compounds quantification (ppb) emitted by the strains on day 3.
CompoundITEM 8111ITEM 8111*
α-Cadinene0.4320.277
α-Cadinol-0.175
α-Isocomene0.9500.720
α-Muurolene0.2820.209
α-Selinene1.8171.565
β-Chamigrene-0.370
β-Elemene8.8975.181
β-Himachalene0.7372.590
δ-Cadinene6.0427.874
γ-Gurjunene2.6151.895
γ-Muurolene0.7690.381
τ-Muurolol-0.105
Aromadendrene0.2050.255
Epi-cuben-1-ol0.3110.360
Epizonaren7.1285.948
Germacrene-D1.1320.996
Styrene261.7529.8 × 106
2-Methylbutan-1-ol2.2230.888
3-Methylbutan-1-ol0.9340.440
Table 3. Treatment of blank and unknown samples for LC-MS/MS analysis.
Table 3. Treatment of blank and unknown samples for LC-MS/MS analysis.
SamplesAflatoxin Mixture 2.5 ng·µL−1Zearalanone 10 ng·µL−1Deepoxydeoxynivalenol 50 ng·µL−1
Blank-2010
Spike 0.5 X102010
Spike 1 X202010
Spike 1.5 X302010
Spike 2 X402010
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Josselin, L.; De Clerck, C.; De Boevre, M.; Moretti, A.; Jijakli, M.H.; Soyeurt, H.; Fauconnier, M.-L. Volatile Organic Compounds Emitted by Aspergillus flavus Strains Producing or Not Aflatoxin B1. Toxins 2021, 13, 705. https://doi.org/10.3390/toxins13100705

AMA Style

Josselin L, De Clerck C, De Boevre M, Moretti A, Jijakli MH, Soyeurt H, Fauconnier M-L. Volatile Organic Compounds Emitted by Aspergillus flavus Strains Producing or Not Aflatoxin B1. Toxins. 2021; 13(10):705. https://doi.org/10.3390/toxins13100705

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Josselin, Laurie, Caroline De Clerck, Marthe De Boevre, Antonio Moretti, M. Haïssam Jijakli, Hélène Soyeurt, and Marie-Laure Fauconnier. 2021. "Volatile Organic Compounds Emitted by Aspergillus flavus Strains Producing or Not Aflatoxin B1" Toxins 13, no. 10: 705. https://doi.org/10.3390/toxins13100705

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