Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2016 Feb 26;6:22152. doi: 10.1038/srep22152

Sesquiterpene emissions from Alternaria alternata and Fusarium oxysporum: Effects of age, nutrient availability, and co-cultivation

Fabian Weikl 1,a,*, Andrea Ghirardo 2,*, Jörg-Peter Schnitzler 2, Karin Pritsch 1
PMCID: PMC4768142  PMID: 26915756

Abstract

Alternaria alternata is one of the most studied fungi to date because of its impact on human life – from plant pathogenicity to allergenicity. However, its sesquiterpene emissions have not been systematically explored. Alternaria regularly co-occurs with Fusarium fungi, which are common plant pathogens, on withering plants. We analyzed the diversity and determined the absolute quantities of volatile organic compounds (VOCs) in the headspace above mycelial cultures of A. alternata and Fusarium oxysporum under different conditions (nutrient rich and poor, single cultures and co-cultivation) and at different mycelial ages. Using stir bar sorptive extraction and gas chromatography–mass spectrometry, we observed A. alternata to strongly emit sesquiterpenes, particularly during the early growth stages, while emissions from F. oxysporum consistently remained comparatively low. The emission profile characterizing A. alternata comprised over 20 sesquiterpenes with few effects from nutrient quality and age on the overall emission profile. Co-cultivation with F. oxysporum resulted in reduced amounts of VOCs emitted from A. alternata although its profile remained similar. Both fungi showed distinct emission profiles, rendering them suitable biomarkers for growth-detection of their phylotype in ambient air. The study highlights the importance of thorough and quantitative evaluations of fungal emissions of volatile infochemicals such as sesquiterpenes.


Sesquiterpenes are a class of highly reactive volatile terpenoids (C15H24). They function as infochemicals1,2 and play crucial roles in plant-to-plant, plant-to-microbe/animal and microbe-to-microbe interactions3. Industrially, sesquiterpenes can act as precursors of advanced biofuels with properties similar to petroleum-based fuels4,5,6,7. Sesquiterpenes can affect atmospheric chemistry and impact climate in a similar manner to other volatile terpenoids8,9, although – due to analytical difficulties – a large uncertainty exists about sesquiterpene emissions10. Microorganisms and especially fungi have recently been recognized as potentially important sources of volatile organic compounds (VOCs)3. Thus, studying microbial volatile terpenoids is both industrially valuable and essential to understand biotic and biosphere-atmosphere interactions.

The genus Alternaria comprises saprotrophic and plant-pathogenic fungi and includes some ubiquitous species, such as A. alternata11,12. Recently, the genomes of 25 Alternaria spp. were sequenced, paving the way for the molecular exploration of their different lifestyles and their underlying metabolomics networks13. Studies on metabolites of the genus Alternaria mainly focused on agricultural spoilage via mycotoxins14 or toxin-mediated plant pathogenicity15, while fewer studies targeted VOCs. A recent compilation of original work on microbial VOCs16 mostly includes substances for Alternaria that are commonly found throughout the fungal kingdom, such as 1-octen-3-ol or 3-octanone. Accounts of sesquiterpene biosynthesis in Alternaria are scarce, and of 268 metabolites reported for the genus17, just two were sesquiterpene-derived compounds, commonly called ‘oxygenated sesquiterpenes’ (oSQT).

In addition to its role as a plant pathogen11 and producer of mycotoxins14, A. alternata is a major fungal allergen source18, which has led to it becoming one of the most thoroughly studied fungi. Still, the microbial VOC database19 lists only one compound (6-methoxyheptanol) for A. alternata, which is the only representative of the genus in the database (accessed 20/09/15). However, sesquiterpenes have been reported for A. alternata20 and two compounds ((+)-β-cedrene and (−)-thujopsene) have been identified.

Knowledge about sesquiterpene emissions is greater for some species of Fusarium compared to Alternaria. Eighteen different sesquiterpenes were identified in two strains of F. sambucinum and one strain of F. sporotrichioides, as well as no or six sesquiterpenes in two different strains of F. graminearum21, respectively.

As previously mentioned, sesquiterpenes can act as biological infochemicals, and several examples of volatile-mediated interactions have been described for Fusarium. Volatiles (including sesquiterpenes) from a non-pathogenic Fusarium oxysporum strain suppressed the growth and gene expression of plant pathogenic strains of this species22. Other strains of F. oxysporum with different VOC profiles have been shown to inhibit the growth of nematodes23 or fungal pathogens24.

Most of these findings have been recently made because the analytical techniques for the detection of a broad spectrum of VOCs have constantly improved over the last two decades25. Headspace sampling and stir bar sorptive extraction (SBSE) coupled to gas chromatography–mass spectrometry (GC-MS) have recently been applied for in vitro ecotyping of fungi based on their volatile profiles26. The same method was used to reveal reprogramming of root architecture through sesquiterpene signaling, thus highlighting the role of sesquiterpenes in plant-microbe interactions1. However, absolute quantification of sesquiterpene emissions that would allow comparisons between studies is rare in fungal VOCs research.

In this study, we aimed to comprehensively identify and quantify sesquiterpene production from A. alternata and F. oxysporum as a function of the growth stage, nutrient conditions, and fungus-fungus interactions. With investigating the variability of fungal sesquiterpene emissions, we provide fundamental data for exploring the different ecological functions of fungal VOCs i.e., sesquiterpenes related to the different lifestyles and for applied approaches such as the use of sesquiterpene biomarkers for fungi.

Results

Growth characteristics

Under nutrient rich conditions, the mycelia of both fungi grew similarly with growth ceasing between day 7 and 14 (co-cultivation) or day 14 and 21 (solitary cultivation). Neither fungus was able to overgrow the other, but F. oxysporum covered most of the glass-barriers on split-plates as it grew onto them more quickly. Cultures were aged after day 28, as indicated by partly collapsed and hyaline hyphae. (Figure 1; morphologies of nutrient-rich split-plates are shown in Supplementary Fig. S1).

Figure 1. Mycelial expansion during VOC sampling.

Figure 1

Upper row: nutrient rich (malt extract gelrite media), lower row: nutrient poor (synthetic nutrient poor gelrite media); solid line: Alternaria alternata, dashed line: Fusarium oxysporum; points and error bars depict means ± s.d. (n = 5) of mycelium areas at VOC sampling time-points. Grey strips: approximate size of mycelia when hyphae started to grow across the glass-barriers separating the gelrite hemispheres of the plates.

Under nutrient poor conditions, F. oxysporum grew faster than A. alternata; however, the growth of F. oxysporum under co-cultivation slowed between day 14 and day 21. Between days 21 and 28, F. oxysporum started to overgrow peripheral parts of A. alternata mycelia. At day 35, both fungi were still growing when cultivated alone. (Figure 1; morphologies of nutrient poor conditions are shown in Supplementary Fig. S2).

No drying of the media in the sealed petri-dishes was observed. Small condensation droplets were commonly formed on the lids of the plates after each resealing, indicating high relative humidity throughout the sampling period.

Overview of VOC emission diversity and strength

The chemical compounds in VOC emissions were quantitatively and qualitatively diverse, and the quantity was higher for A. alternata compared to F. oxysporum. Altogether, we detected 26 different volatile compounds of unambiguous fungal origin, 24 sesquiterpenes and two alcohols (Table 1, Supplementary Tables S1–S4). From A. alternata, 25 compounds were emitted – in total up to 183 ± 82 pmol cm−2 h−1 (day 3, nutrient rich), while F. oxysporum emitted 10 compounds – in total up to 6.7 ± 4.7 pmol cm−2 h−1 (day 3, nutrient rich), both referring to the mycelium area. All VOCs from F. oxysporum were also detected in A. alternata, except for δ-elemene (Table 2).

Table 1. VOC analysis using stir bar sorptive extraction (SBSE) and GC-MS. Means of plate based VOC emission rates ± s.e. (n = 5) from 7 days old Alternaria alternata and Fusarium oxysporum co-cultures (confrontation plates) growing on nutrient rich medium (malt extract gelrite).

Compounds RT(min) Kovats’RI CAS LOD(pmol plate−1 h−1) emission(pmol plate−1 h−1)
alcohols
 Isobutanol 6.827 619 78-83-1 <0.01 4.88 ± 0.97
 2-Methyl-1-butanol 8.695 724 137-32-6 <0.01 8.44 ± 1.92
sesquiterpenes
 δ-Elemene 32.864 1335 20307-84-0 <0.01 13.39 ± 1.03
 β-Elemene 35.067 1391 515-13-9 0.05 4.98 ± 0.34
 Di-epi-α-Cedrene 35.822 1410 50894-66-1 <0.01 11.67 ± 0.62
 α-Cedrene 36.422 1427 11028-42-5 <0.01 14.3 ± 0.7
 β-Cedrene 36.861 1439 546-28-1 <0.01 421.31 ± 20.92
 Thujopsene 37.252 1449 470-40-6 <0.01 206.11 ± 18.37
 (E)-β-Farnesenea 37.355 1452 18794-84-8 0.02 6.18 ± 0.34
 β-Acoradiene 38.083 1472 24048-44-0 <0.01 24.36 ± 1.29
 unknown SQTb #1 38.304 1478 n.a. 0.06 92.5 ± 5.73
 α-Himachalene 38.44 1482 3853-83-6 <0.01 22.49 ± 1.52
 unknown SQT #2 38.684 1488 n.a. <0.01 2.38 ± 0.49
 β-Chamigrene 38.92 1495 18431-82-8 <0.01 16.91 ± 0.78
 allo-Aromadendrene 39.138 1501 25246-27-9 0.14 14.65 ± 0.94
 γ-Curcumene 39.322 1508 28976-68-3 <0.01 15.08 ± 2.06
 Germacrene D 39.559 1517 23986-74-5 <0.01 20.66 ± 1.22
 Eremophilene 39.86 1529 10219-75-7 <0.01 6.35 ± 0.43
 α-Chamigrene 40.257 1545 19912-83-5 <0.01 6.78 ± 0.41
 γ-Cadinene 40.323 1548 1460-97-5 <0.01 10.76 ± 0.58
 unknown SQT #3 41.478 1593 n.a. 0.03 2.76 ± 0.22
oxygenated sesquiterpenes
 Thujopsane-2β-ol + unknown SQT #4c 41.761 1606 150737-93-2n.a. <0.01 33.07 ± 3.95
 Cedren-13-ol, 8- 42.399 1641 18319-35-2 <0.01 1.35 ± 0.14
 Widdrol 42 1619 6892-80-4 <0.01 3.47 ± 0.31
 10-epi-γ-Eudesmol 42.247 1632 15051-81-7 <0.01 3.14 ± 0.26

Emission rates for further time-points and the other experiments are shown in Supplementary Tables S1–4.

averified by authentical standards, otherwise tentatively identified.

bSQT: sesquiterpene.

cco-eluted peaks.

Table 2. Fungal origin of volatile organic compounds (VOC) (above the limit of quantification (pmol plate−1 h−1)) collected from solitary cultures of Alternaria alternata and Fusarium oxysporum grown on nutrient rich medium (malt extract gelrite).

graphic file with name srep22152-t2.jpg

aabsent on nutrient poor medium, bon nutrient poor medium only detected for A. alternata.

All 26 substances were detected when both fungi grew in direct contact (direct confrontation plates) under nutrient rich conditions. Some compounds were not detected when the fungi grew alone, or were physically separated (split-plates) (Supplementary Tables S1–S2), or were grown under nutrient poor conditions (Table 2). Solitary cultures of A. alternata, split-plate cultures, and direct confrontation cultures of the same age differed only in the compounds that were present in the lowest amounts. The emission profiles were highly similar between A. alternata grown alone and co-cultivated with F. oxysporum, except for the appearance of δ-elemene in the co-cultivation (Figs 2a and 3a).

Figure 2. Time-course of VOC emission rates from fungi growing under nutrient rich conditions.

Figure 2

(a) Total VOC emission rates under different cultivation conditions; F|: Fusarium oxysporum alone, |A: Alternaria alternata alone, F|A: split-plate with both fungi, FA: direct confrontation of both fungi; pie chart areas are proportional to the emission rate per culture plate, grey numbers: means (n = 5) of total VOC emission rate (pmol plate−1 h−1); the exact values underlying each pie chart are available in Supplementary Tables S1–S2. (b) Total VOC emission rate normalized to the projected mycelium area (pmol cm−2 h−1) of A. alternata on each plate (F|A and FA setups: ignoring the minute share of F. oxysporum on total emissions); means ± s.e. (n = 5); *P = 0.04, t-test. (c) Total VOC emissions from (b) as function of the culture age, including emissions from |F which were normalized to the projected mycelium area of F. oxysporum.

Figure 3. Emission rate after 14 days of cultivation on nutrient rich and poor media.

Figure 3

(a) Total emission rate of VOC under different cultivation conditions; F|: Fusarium oxysporum alone, |A: Alternaria alternata alone, F|A: split-plate with both fungi, FA: direct confrontation of both fungi; pie chart areas are proportional to the emitted volatiles, grey numbers: means (n = 5) of total VOC emission rates (pmol plate−1 h−1); the exact values underlying each pie chart are available in Supplementary Tables S1–S2. Colors are coded as in Fig. 2a. (b) Total emission rate normalized to the projected surface area (pmol cm−2 h−1) of A. alternata on each plate (F|A and FA culturing: ignoring the minute share of F. oxysporum on the total emissions); means ± s.e. (n = 5).

Under nutrient rich conditions, the emission rate per plate was strongest at day 7, while the emission rate per mycelium area was strongest at day 3 (Fig. 2). Under nutrient poor conditions, the emission rate was highest at day 14 (Supplementary Tables S1 and S3), the first time-point measured.

Under nutrient rich conditions, the average emission rate per mycelium area of A. alternata grown alone was more than an order of magnitude higher than those of F. oxysporum (e.g., 27 times more at day 3, 60 times more at day 7, and 122 times more at day 14; Supplementary Table S3). Similar differences were obtained under nutrient poor conditions (e.g., 51 times more at day 14 and 85 times more at day 21; Supplementary Table S3). The total emission intensity of A. alternata decreased exponentially with culture age (Fig. 2c).

The emission rate per mycelium area from nutrient rich split-plates at day 14 of co-cultivation were significantly lower than those of the same age of A. alternata grown alone (t-test P = 0.04) (Fig. 2). Over all cultivation conditions and all time-points, the emission rate (pmol cm−2 h−1) decreased in the order: A. alternata alone > direct confrontation > split-plate > solitary F. oxysporum.

The emission rate (day 14) in solitary cultures of A. alternata and co-cultivations with F. oxysporum were much higher under nutrient rich than nutrient poor conditions, when calculated per plate (pmol h−1) (Fig. 3a). However, those differences became insignificant (t-tests P > 0.05) when calculated based on the mycelium area of A. alternata (Fig. 3b).

In contrast, the emission rate of solitary F. oxysporum under nutrient rich and poor conditions were roughly similar when calculated per plate (3.8 vs. 1.5 pmol h−1; Fig. 3a) as well as when based on the mycelium area of F. oxysporum (0.092 vs. 0.082 pmol cm−2 h−1; Supplementary Table S3).

Emission of specific compounds

Under all nutrient conditions and at all time-points, the sesquiterpenes thujopsene and β-cedrene were the most abundant VOCs of A. alternata. Together, they constituted more than two-thirds of the total emissions (Fig. 2). The next highest emissions generally were an unknown SQT (sesquiterpene) #1, a mixture of thujopsane-2β-ol plus unknown SQT #4, α-himachalene, and β-acoradiene (Table 1, Supplementary Fig. S3). The general emission patterns of A. alternata did not differ notably with culture age, but the relative contributions of thujopsene and β-cedrene to the total emissions changed considerably between sampling time-points (Supplementary Table S1).

The emission pattern of the compounds detected for F. oxysporum was less constant (detection was approximately at the limit of quantification for some substances) and the overall emission rate was more than 100-fold lower at most time-points than for A. alternata (Fig. 2, Supplementary Fig. S4). For example, at day 3 under nutrient rich conditions, seven compounds were detected for F. oxysporum (highest: δ-elemene, 2-methyl-1-butanol, and α-himachalene), while three weeks later (day 28), only two compounds (δ-elemene and α-himachalene) remained detectable (Supplementary Table S1). Three substances (γ-curcurmene, germacrene D, and an unknown SQT #2) were only detected in trace amounts (<0.003 pmol cm−2 h−1) on one or two sampling dates.

Common to all cultures was a much more rapid decline in the emission rate of alcohols compared to sesquiterpenes. By day 14, only traces of alcohols were detected (e.g., 0.04 ± 0.008 pmol cm−2 h−1 2-methyl-1-butanol emitted from solitary cultures of A. alternata).

Amounts of compounds under nutrient poor cultivation resembled those of the nutrient rich cultivations for A. alternata (except for the absent compounds, Table 2). For F. oxysporum, emissions were very low (day 14: 0.082 ± 0.051 pmol cm−2 h−1, day 21: 0.007 ± 0.005 pmol cm−2 h−1, day 35: 0.001 ± 0.0001 pmol cm−2 h−1), therefore no temporal trends for the amounts of individual compounds from F. oxysporum were inferred for nutrient poor conditions.

Almost all individual compounds from A. alternata were found in lower amounts on split-plates compared to solitary cultivation (Fig. 4). When grown together with F. oxysporum, some sesquiterpenes of A. alternata were significantly less abundant, e.g., β-cedrene (days 14 and 21; t-tests P = 0.001) and thujopsene (days 7 and 14; t-tests P = 0.005).

Figure 4. Emission rate per mycelium surface area of Alternaria alternata compared between solitary cultures of A. alternata and split-plates with the headspace shared by A. alternata and Fusarium oxysporum.

Figure 4

Points with standard errors (n = 5, each): emissions of single compounds, red: day 3 VOC sampling, blue: day 7 VOC sampling; the diagonal line indicates equal results for both setups. The insert shows the results for the strongest emissions on a larger scale. Full names of abbreviated compounds are given in Table 1.

Multivariate analyses and correlation matrices

VOC profiles strongly differed in multivariate analyses (PCA and OPLS) – in quality and quantity – between A. alternata and F. oxysporum cultures growing alone, as shown by the large distance and separation between A. alternata and F. oxysporum samples in the first significant principal component in a PCA, which explained 94% of the total VOC variance (Fig. 5a).

Figure 5. Principal component analysis (PCA) of VOC emission rates of the five biological replicates of all different fungal setups (7-day-old cultures, nutrient-rich media).

Figure 5

PC1, PC2: principal first and second components with total explained variance given as percentage. (a) Score plot: solitary fungal culture of Fusarium oxysporum (green) and Alternaria alternata (blue) are depicted with circles; direct confrontations are indicated by beige triangles and split plates by grey triangles; the ellipse indicates the tolerance based on Hotelling’s T2 with a significance level of α = 0.05. (b) Correlation scaled loading plot: white squares: sesquiterpenes, black dots: alcohols; the outer and inner ellipses indicate 100% and 75% explained variance, respectively.

Furthermore, VOC emissions from co-cultivated fungi could be separated from those emitted from cultures containing only one fungus, as demonstrated by the separation of the second significant principal component. PCA indicated differences in emissions between fungi growing in direct contact or on split plates, but these were rather marginal.

Overall, high emission rates of sesquiterpenes were negatively correlated in solitary cultures of F. oxysporum (PCA: Fig. 5b, OPLS: Supplementary Fig. S5). Only the sesquiterpene δ-elemene, unique to F. oxysporum, was highly and negatively correlated to solitary cultures of A. alternata with a scaled and centered regression coefficient of −0.82 in the OPLS model (Supplementary Fig. S5).

The OPLS model described changes of VOC emissions from the different fungal cultures very well; the cumulative R2(X) and Q2(cum) were 98.6% and 70.1% respectively, using 3 predictive components. The analysis of variance testing the cross-validated predictive residuals (CV-ANOVA) indicated that the OPLS model discriminated the cultures of a single fungus in a highly reliable manner (P-values: A. alternata <2 × 10−7, F. oxysporum <4 × 10−14, direct confrontation = 0.0499). Regression lines for observed versus predicted Y-values were R2 = 0.955 (A. alternata) and R2 = 0.996 (F. oxysporum). Classification exercises indicated that an OPLS model based on VOC emission profiles collected at day 7 can correctly predict the presence of a solitary culture of A. alternata and F. oxysporum at day 3, 7, 14 (threshold set to 0.5 predicted Y values) (Supplementary Fig. S5).

Spearman correlation matrices that included all time-points of solitary cultivations showed positive correlations (Spearman P < 0.05, Supplementary Fig. S6) for emission rates of most compounds for each fungus. Nearly half of the sesquiterpenes produced by A. alternata were almost totally correlated (Spearman correlation coefficient ρ > 0.9), as were δ-elemene and α-himachalene for F. oxysporum (ρ = 0.97).

Discussion

Our sampling and detection system allowed the detailed assessment of sesquiterpene formation in the two fungi. The quantitative differences in VOC emissions between them were very distinct; less abundant compounds from A. alternata were still emitted at the same magnitude as the most abundant VOC released from F. oxysporum.

As observed in this study, A. alternata had the highest sesquiterpene emissions relative to other fungi in an earlier study20. However, direct comparison with our data is impeded by the lack of absolute quantification in most of the earlier studies. A recent study26 applied the same detection system with sealed plates and a synthetic medium comparable to the nutrient poor medium that we used in this study. That study analyzed emission profiles and source strengths from eight fungi of different ecotypes (ectomycorrhizae, pathogens, and saprophytes) and observed the highest sesquiterpene emissions for Trichoderma viride (~0.7 pmol cm−2 h−1 at an age of 3 days). At the first sampling date in our study (day 14), the emission rate for A. alternata was still approximately six-fold higher than for T. viride in the earlier study, while those for F. oxysporum were three times lower. However, the emission rate in nutrient rich medium in this study at day 3 was more than 250 times higher for A. alternata and ten times higher for F. oxysporum, compared to the earlier data on Trichoderma viride.

In plants – a global major source of terpenes10 – lower sesquiterpene emission rates were often reported27 than the emission rate from A. alternata found here. A. alternata is geographically widespread and abundant in nature12. Therefore, A. alternata might potentially contribute significantly to the emission of sesquiterpenes into the atmosphere, as generally hypothesized for fungi3.

This study expanded the sesquiterpenes of A. alternata described from two major compounds20 to a complex variety of substances. We used a passive sampling system specifically suitable to trap non-polar compounds such as sesquiterpenes but with a low affinity for relatively polar compounds such as alcohols, ketones, and aldehydes. Therefore, their contribution to the total VOC emitted from A. alternata in the present analysis cannot be completely assessed. Physicochemical differences in the VOC collection system and trapping material can explain why previous studies found different chemical compounds for Alternaria16.

We detected oSQT as minor constituents in the A. alternata emission profile. Few oSQT have been described for fungi so far28. To the best of our knowledge, this is the first report on the production of widdrol, thujopsane-2β-ol and cedren-13-ol, 8 in fungi, while isomers of 10-epi-γ-eudesmol have been described for freshwater fungi (Beltrania rhombica)29 and mushrooms (Inonotus obliquus)30. Our most predominant VOC, β-cedrene, has only been reported in fungal odor profiles from A. alternata20 and Penicillium decumbens31. The structurally related di-epi-α-cedrene and α-cedrene have been found in some other ascomycetes28. The second most abundant substance in our study, thujopsene, has been reported in various fungi including Penicillium decumbens31. This fungus emitted thujopsene in addition to β-cedrene and other compounds, which included substances that were also detected in this study for A. alternata, e.g., (E)-β-farnesene, β-acoradiene, β-chamigrene, and α-chamigrene. Thujopsene was found to have an auto-regulatory function for the growth of P. decumbens and inhibitory effects on several ascomycetes31.

Compared to earlier studies on fungal VOCs, the number of sesquiterpenes from A. alternata was relatively high. This confirmed results from recent measurements showing that many fungi emit a suite of many different sesquiterpenes21,31,32,33. Our attempt to relate sesquiterpene synthases (SQTS) to this multitude of sesquiterpenes by using emission correlation matrices, as has been shown recently34, gave ambiguous results and suggested that either the same enzyme was responsible for the formation of all sesquiterpenes or that different SQTS were biochemically active in concert. The formation of multiple products by single sesquiterpene synthases has been documented in fungi, but multiple SQTS homologs were also found in single fungi of different groups35. The high number of different sesquiterpenes is generally mirrored in the Alternaria genome: A search of the A. alternata genome library (Alternaria alternata, SRC1lrK2f v1.0) revealed 30 putative terpene synthase genes (http://genome.jgi.doe.gov/pages/search-for-genes.jsf?organism=Altal1, accessed 04/11/2015).

VOC emissions from our F. oxysporum strain differed – except for acoradiene23 – from other strains described so far22,23,24, indicating that VOC profiles are strain-dependent in F. oxysporum. The lower number of compounds for F. oxysporum resulted in a much simpler correlation matrix compared to A. alternata. On the basis of this correlation matrix, we speculate that the same SQTS synthesized δ-elemene as the primary product along with several additional minor compounds. In accord with the lower number of detectable sesquiterpenes, only five putative terpene synthase genes were annotated in the Fusarium oxysporum genome (http://genome.jgi.doe.gov/pages/search-for-genes.jsf?organism=Fusox1, accessed 04/11/2015).

To translate the observed sesquiterpene emission pattern of both fungi to a molecular basis, future work will focus on the heterologous expression of the putative terpene synthase genes, genetic differences between strains36 and their functional biochemical characterization.

Our results clearly demonstrated highest sesquiterpene emissions in very young (3 days old) mycelia in both fungi. Contradictory to our findings, sesquiterpene emissions have been attributed to a later growth phase20,28. However, according to our literature survey, Aspergillus versicolor was the only truly indicative example for strongly increased sesquiterpene emissions with age, showing a 103-fold increase between day 3 and 14 of incubation37. The early peak of emission in our study suggests that sesquiterpene formation is associated with rapid growth in A. alternata and F. oxysporum, at least on nutrient rich medium. For cultures on nutrient poor medium, we started VOC sampling when A. alternata cultures reached a size of 3 cm2, which occurred only after 14 days of incubation. Therefore, no information on emissions at early growth stages under nutrient poor cultivation conditions is available. Nonetheless, growth on nutrient poor media before day 14 was slower than during the following two weeks. If emissions are related to rapid growth as found under nutrient rich conditions, the growth pattern suggests no intensely increased emissions under nutrient poor conditions at an earlier time. However, this still needs to be studied further.

The general VOC pattern for A. alternata was stable during aging, except for an overly rapid decline in the alcohol emissions. This temporal emission pattern for small hydrocarbons is in accordance with other works. For example, in Penicillium expansum, C8 compounds were emitted mainly between an age of 3 and 9 days20. In contrast to the stable pattern found here, the VOC diversity of Trichoderma atroviride increased by 24 substances (three sesquiterpenes) in a comparison between 5- and 14-day-old cultures38. However, the effect of aging mycelia on sesquiterpene emissions has rarely been intentionally investigated and knowledge of the prevalence of sesquiterpene emissions in aging fungi remains fragmentary.

Emission quantities for F. oxysporum did not differ considerably between nutrient poor and rich media. Emissions from A. alternata from cultures of the same age strongly differed under rich and poor nutrient conditions, yet only when calculated for the entire plate but not with respect to the mycelium area. However, the physiological conditions between cultures of the same age under different nutrient conditions probably diverged strongly, which may explain the insignificant differences based on mycelial area. For example, A. alternata cultures on nutrient rich media had almost completed growing at day 14 and showed their final coloration, while A. alternata cultures on nutrient poor media at the same time covered only a tenth of the surface compared to their nutrient rich equivalents and were unpigmented. As mentioned above, cultures of A. alternata on nutrient poor medium likely never emitted VOCs in similar amounts as the cultures on nutrient rich medium. This suggests that the nutrient supply plays an essential role in sesquiterpene biosynthesis in A. alternata, although the mechanism remains unclear. A recent study on Aspergillus fumigatus showed that transcript levels of mevalonate kinase, one of the key enzymes in terpenoid biosynthesis, were decreased upon iron starvation, which resulted in a strong decline of sesquiterpene emissions32. The nutrient poor medium in our study did not contain iron, which may have been a reason for limited sesquiterpene biosynthesis.

Apart from the least abundant compounds, the volatile profile of A. alternata was the same under both nutrient conditions. Corresponding results were reported from Penicillium polonicum, Aspergillus ustus and Periconia britannica strains with similar sesquiterpene profiles when grown on malt extract, wallpaper, or plaster board33, or when several Fusarium spp. were cultivated on different substrates21.

Co-cultivation with shared headspace and separate growing space (split-plate) limited interactions between the fungi to their headspaces until the glass barrier was overgrown around day 10 after inoculation under nutrient rich conditions. However, the observed drop in total emissions from split-plates compared with the solitary cultivation of A. alternata was only significant at day 14, when possible effects of headspace interactions (e.g., change in emission profiles or amounts, adsorption of VOC by F. oxysporum) could not be separated from effects triggered by physical contact or exudates. However, during co-cultivation on split-plates, the headspace concentration of nearly all compounds was already lower very early at day 3 and 7 compared to the concentration found in solitary cultures of A. alternata. Because border effects were similar for both setups during this early stage, an active/passive adsorption of compounds in F. oxysporum mycelia is probable, especially because strains of F. oxysporum can transform terpenes39,40 and various fungi are known to grow with terpenes or similar compounds as a sole carbon source41. Another possibility is the reduced production of sesquiterpenes by A. alternata after recognition of F. oxysporum volatiles (i.e., δ-elemene). Although the exact mechanism must be elucidated in future studies, our experiment suggests a VOC-mediated interaction between the two fungal species.

The multivariate analysis clearly separated the sesquiterpene profiles of both fungi, suggesting that the profile might serve as a very good biomarker to discriminate between the tested strains of A. alternata and F. oxysporum. Such specific sesquiterpene profiles could also be used in ambient air to detect fungal growth. An earlier study42 concluded that sesquiterpene biomarkers may be the best approach to detect indoor fungal growth, after Aspergillus, Chaetomium, and Epicoccum were identified from water-damaged buildings via their sesquiterpene profiles. Examples of the use of different classes of VOCs as fungal biomarkers include screening for fungal causes of lung diseases43 and ecotyping26. The peculiar sesquiterpene profile of A. alternata is an ideal target for detecting those allergenic fungi in indoor environments. The specific emission pattern might be used to assemble sensitive VOC sensors (electronic nose) based on piezoelectric quartz crystals44, metal oxide semiconductors45, or metal-organic frameworks46. These sensors are capable of differentiating non-invasively and in real-time between different VOC profiles44 when coated and calibrated with specific compounds. Therefore, the identification of discriminant sesquiterpenes of A. alternata and F. oxysporum will pave the way for the development of future fungal sensors.

The available data on VOC emissions of different F. oxysporum strains21,22,23,24 suggests that sesquiterpenes are useful biomarkers on the sub-species level for this species, as has been proposed earlier21. The stability of sesquiterpene emissions by A. alternata under various conditions suggests that such emissions are especially good biomarkers for the growth of the species. However, intraspecific variability in A. alternata has not been assessed; therefore more A. alternata strains must be chemotyped. Because strains of Alternaria are known to produce different terpenoids (bi- and tricyloaleranenes) and other classes of toxins14, it may be speculated that a pathotype relation with sesquiterpene profiles could be established in a similar manner as has been demonstrated for F. oxysporum21.

This study showed the early, diverse and long-lasting emission of sesquiterpenes at a high rate and with a stable profile for the tested strain of A. alternata. If this observation holds true for different isolates of A. alternata, these properties make its emission profile useful for future chemotyping approaches in different fields, such as mycotoxin prevention or indoor health prediction. While this is also principally true for the investigated strain of F. oxysporum, low quantities of emissions might hamper such use.

Our novel findings concerning two frequently studied fungi highlight the importance of a thorough quantitative and qualitative (re-)evaluation of fungal VOC emissions of complex volatiles such as sesquiterpenes. Such fundamental analyses are necessary to provide a comprehensive knowledge base for mechanistic, ecological and applied research.

Methods

Culture media

A synthetic nutrient ‘poor’ and a complex nutrient ‘rich’ medium were prepared. The nutrient poor medium was based on synthetic nutrient poor agar and the nutrient rich medium on malt extract agar47. To minimize the volatile background, 15 g L−1 gelrite (SERVA electrophoresis, Heidelberg, Germany) were used for solidification instead of agar. The poor medium contained (L−1): KHPO4 1 g, KNO3 1 g, MgSO4 × 7 H2O 0.5 g, KCl 0.5 g, glucose (D+) 0.2 g, sucrose 0.2 g, ZnSO4 × 7 H2O 0.01 g, CuSO4 × 5 H2O 0.005 g; the rich medium contained (L−1): malt extract 20 g, ZnSO4 × 7 H2O 0.01 g, CuSO4 × 5 H2O 0.005 g. The media were poured (20 ml plate−1) into sterile degreased glass petri-dishes without division (direct confrontation) or with a glass-barrier of 7 mm height dividing the plate into two equal halves (split-plate). The split-plates ensured that only VOC-mediated interactions were possible during early growth, while on direct confrontations exudates into the medium and early exploratory hyphae were additional routes for interactions. After solidification, each dish of nutrient poor medium was provided with four cellulose filters (30 mm, No. 1001-329, Whatman GE, Dassel, Germany) that served as a polymer carbon source and a supporting matrix for mycelia to approximate the situation in a withering plant. Sterile culture plates were stored at least one week at 4 °C in odorless roasting tubes (Toppits Cofresco, Minden, Germany) before use.

Strains and cultivation

The experimental plates were inoculated with 3 × 50 conidial spores from spore-solutions made from Alternaria alternata (Fr.) Keissler (DSMZ 62006) or Fusarium oxysporum f. aechmeae (Fr.) Schltdl. (DSMZ 62297) cultures grown as recommended47. For the rich medium, the spores were applied in three droplets onto one half of the plate and approximately 1 cm from the rim with equal spacing between the droplets. For the poor medium, two droplets were applied on half of the cellulose-filter next to the rim of the dish and one droplet was placed in between the filters. The plates were sealed with Parafilm M (Bemis, Oshkosh, WI, USA) to preserve humidity (<0.5% loss of weight in a 30 days incubation pre-test) and incubated at 20 °C in the dark.

On both media, five growth setups were tested in five replicate plates each: (1) plates with sterile media for sampling the VOC-background, (2) A. alternata on one half of a split-plate with the second half containing sterile medium (‘solitary A. alternata’), (3) F. oxysporum on a half of a split-plate with the second half containing sterile medium (‘solitary F. oxysporum’), (4) both fungi on different halves of a shared split-plate, (5) both fungi on opposite sides of a barrier-less plate (‘direct confrontation’). For each growth condition, three extra replicates were incubated under exactly the same conditions except for absence of VOC sampling, to monitor possible changes in the growth dynamics compared to the sampled plates because sampling is a potential growth disturbance (e.g., short exposure to light and lifting of the lid).

Collection of VOCs and the sampling scheme

VOCs were collected from the glass Petri dishes by head-space sorptive extraction using the SBSE method based on non-polar, polydimethylsiloxane coated stir bars (Twister, film thickness 0.5 mm, Gerstel, Mülheim an der Ruhr, Germany) as recently described26, with the following modification - magnetic discs were fixed to the dishes in the center of each lid’s outer surface. This guaranteed a central positioning of the magnetic sorptive stir bars in the air-space of the plates and rapid, contamination-free handling (Supplementary Fig. S7). The collection time was 48 hours for cultures on poor and 20 hours for cultures on rich medium.

Sampling began when the slower growing fungus covered approximately 1 to 3 cm2 of the plate surface. Four time-points were sampled from nutrient poor and five from nutrient rich medium. Time-points for sampling from nutrient poor plates were days 14, 21, 28, and day 35 after inoculation, and the time-points for nutrient rich plates were days 3, 7, 14, 21, and day 28 (each date was the beginning of a VOC collection, e.g., sampling for day 3 started 72 hours after inoculation).

Analyses of VOCs

In our approach, as in recent work26, VOC samples were analyzed using a thermo-desorption unit (TDU, Gerstel) coupled to a GC-MS (GC type: 7890A, MS type: 5975C inert XL MSD with a triple axis detector, both from Agilent Technologies (Palo Alto, CA, USA) using a 5% phenyl 95% dimethyl arylene siloxane capillary column (60 m × 250 μm × 0.25 μm DB-5MS + 10 m DG, Agilent Technologies). The TDU-GC-MS was run as described previously48,49. Calibration was achieved by injecting pure standard mixtures dissolved in hexane at seven different concentrations ranging from ~20 to 800 pmol μl−1. Each mixture was made independently in triplicate for each concentration and measured in duplicate. The resulting MS signal responses were found to be linear with an increasing standard concentration with R2 > 0.99. Non-isothermal Kovats retention indices were calculated according to generally accepted standards50, based on chromatography retention times of a saturated alkane mixture (C7 – C40; Sigma-Aldrich, Taufkirchen, Germany) and other alkanes (<C7) occurring in the chromatogram background.

Limits of detection (LOD) were set to twice σ, and the limit of quantification (LOQ) to 10-folder of LOD. Emission rates were calculated on a fungal mycelium area (pmol cm−2 h−1) or plate (pmol h−1) bases.

Statistical analysis

Relationships between VOC emissions from A. alternata and F. oxysporum growing solitary or in co-cultures in nutrient rich medium were analyzed using principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS) (SIMCA-P v13, Umetrics, Umeå, Sweden). For this, day 7 was chosen because all VOCs were detected and the highest plate-based emission rates were measured at this date. Using plate-based emission rates allowed the inclusion of data for the co-cultivation setups. Established procedures to analyses and evaluate MS data were followed in a similar manner as previously described48,51,52,53,54,55,56. Prior to analysis, all x-variables were logarithmically (log10) transformed, centered, and each type of data was scaled block-wise with 1 sd−1. Calculated significant principal components were validated using ‘full cross-validation’, with 95% confidence level on parameters and 7 as number of cross-validation groups. The prediction ability of the OPLS model to discriminate A. alternata and F. oxysporum was evaluated using VOC data collected at day 3, 7, 14.

Spearman correlation-matrices for the emissions of the volatile substances to each other were calculated in the R programming environment57 using algorithms of the Hmisc package58 (v3.10-1). Hierarchical clustering (single linkage) of the results was performed with the corrplot package59 (v0.73).

Additional Information

How to cite this article: Weikl, F. et al. Sesquiterpene emissions from Alternaria alternata and Fusarium oxysporum: Effects of age, nutrient availability, and co-cultivation. Sci. Rep. 6, 22152; doi: 10.1038/srep22152 (2016).

Supplementary Material

Supplementary Information
srep22152-s1.pdf (1.1MB, pdf)

Acknowledgments

The authors wish to thank Annemarie Räder for support during the VOC samplings.

Footnotes

Author Contributions F.W., A.G., J.S. and K.P. designed the study. F.W. and A.G. performed the experiments together and analysed the data together. F.W. coordinated cultivation and VOC sampling and A.G. GC-MS identification and quantification. F.W. wrote the first draft of the manuscript and prepared the figures. All authors contributed to interpretation of the findings and edited and approved the manuscript.

References

  1. Ditengou F. A. et al. Volatile signalling by sesquiterpenes from ectomycorrhizal fungi reprogrammes root architecture. Nat Commun 6, 6279, 10.1038/ncomms7279 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Schmidt R., Cordovez V., de Boer W., Raaijmakers J. & Garbeva P. Volatile affairs in microbial interactions. Isme J 9 2329–2335, 10.1038/ismej.2015.42 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Penuelas J. et al. Biogenic volatile emissions from the soil. Plant Cell Environ 37, 1866–1891, 10.1111/pce.12340 (2014). [DOI] [PubMed] [Google Scholar]
  4. Martin V. J., Pitera D. J., Withers S. T., Newman J. D. & Keasling J. D. Engineering a mevalonate pathway in Escherichia coli for production of terpenoids. Nat Biotechnol 21, 796–802, 10.1038/nbt833 (2003). [DOI] [PubMed] [Google Scholar]
  5. Rude M. A. & Schirmer A. New microbial fuels: a biotech perspective. Curr Opin Microbiol 12, 274–281, 10.1016/j.mib.2009.04.004 (2009). [DOI] [PubMed] [Google Scholar]
  6. Peralta-Yahya P. P., Zhang F., del Cardayre S. B. & Keasling J. D. Microbial engineering for the production of advanced biofuels. Nature 488, 320–328, 10.1038/nature11478 (2012). [DOI] [PubMed] [Google Scholar]
  7. Peralta-Yahya P. P. et al. Identification and microbial production of a terpene-based advanced biofuel. Nat Commun 2, 483, 10.1038/ncomms1494 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Claeys M. et al. Formation of secondary organic aerosols through photooxidation of isoprene. Science 303, 1173–1176, 10.1126/science.1092805 (2004). [DOI] [PubMed] [Google Scholar]
  9. Ehn M. et al. A large source of low-volatility secondary organic aerosol. Nature 506, 476–479, 10.1038/nature13032 (2014). [DOI] [PubMed] [Google Scholar]
  10. Guenther A. Biological and chemical diversity of biogenic volatile organic emissions into the atmosphere. J Atmos Sci 2013, 1–27, 10.1155/2013/786290 (2013). [DOI] [Google Scholar]
  11. Thomma B. P. Alternaria spp.: from general saprophyte to specific parasite. Mol Plant Pathol 4, 225–236, 10.1046/j.1364-3703.2003.00173.x (2003). [DOI] [PubMed] [Google Scholar]
  12. Vázquez de Aldana B. R., Bills G. & Zabalgogeazcoa I. Are endophytes an important link between airborne spores and allergen exposure? Fungal Divers 60, 33–42, 10.1007/s13225-013-0223-z (2013). [DOI] [Google Scholar]
  13. Dang H. X., Pryor B., Peever T. & Lawrence C. B. The Alternaria genomes database: a comprehensive resource for a fungal genus comprised of saprophytes, plant pathogens, and allergenic species. BMC Genomics 16, 239, 10.1186/s12864-015-1430-7 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Ostry V. Alternaria mycotoxins: an overview of chemical characterization, producers, toxicity, analysis and occurrence in foodstuffs. World Mycotoxin J 1, 175–188, 10.3920/WMJ2008.x013 (2008). [DOI] [Google Scholar]
  15. Takaoka S. et al. Complex regulation of secondary metabolism controlling pathogenicity in the phytopathogenic fungus Alternaria alternata. New Phytol 202, 1297–1309, 10.1111/nph.12754 (2014). [DOI] [PubMed] [Google Scholar]
  16. Effmert U., Kalderas J., Warnke R. & Piechulla B. Volatile mediated interactions between bacteria and fungi in the soil. J Chem Ecol 38, 665–703, 10.1007/s10886-012-0135-5 (2012). [DOI] [PubMed] [Google Scholar]
  17. Lou J., Fu L., Peng Y. & Zhou L. Metabolites from Alternaria fungi and their bioactivities. Molecules 18, 5891–5935, 10.3390/molecules18055891 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Simon-Nobbe B., Denk U., Poll V., Rid R. & Breitenbach M. The spectrum of fungal allergy. Int Arch Allergy Immunol 145, 58–86, 10.1159/000107578 (2008). [DOI] [PubMed] [Google Scholar]
  19. Lemfack M. C., Nickel J., Dunkel M., Preissner R. & Piechulla B. mVOC: a database of microbial volatiles. Nucleic Acids Res 42, D744–D748, 10.1093/nar/gkt125010.5772/52050 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Schuchardt S. & Kruse H. Quantitative volatile metabolite profiling of common indoor fungi: relevancy for indoor air analysis. J Basic Microbiol 49, 350–362, 10.1002/jobm.200800152 (2009). [DOI] [PubMed] [Google Scholar]
  21. Demyttenaere J. C. R., Moriña R. M., De Kimpe N. & Sandra P. Use of headspace solid-phase microextraction and headspace sorptive extraction for the detection of the volatile metabolites produced by toxigenic Fusarium species. J Chrom A 1027, 147–154, 10.1016/j.chroma.2003.08.105 (2004). [DOI] [PubMed] [Google Scholar]
  22. Minerdi D., Bossi S., Gullino M. L. & Garibaldi, A. Volatile organic compounds: a potential direct long-distance mechanism for antagonistic action of Fusarium oxysporum strain MSA 35. Environ Microbiol 11, 844–854, 10.1111/j.1462-2920.2008.01805.x (2009). [DOI] [PubMed] [Google Scholar]
  23. Freire E. S. et al. Volatile substances produced by Fusarium oxysporum from coffee rhizosphere and other microbes affect Meloidogyne incognita and Arthrobotrys conoides. J Nematol 44, 321–328 (2012). [PMC free article] [PubMed] [Google Scholar]
  24. Zhang Q. et al. Production of anti-fungal volatiles by non-pathogenic Fusarium oxysporum and its efficacy in suppression of Verticillium wilt of cotton. Plant Soil 392, 101–114, 10.1007/s11104-015-2448-y (2015). [DOI] [Google Scholar]
  25. Hung R., Lee S. & Bennett J. W. Fungal volatile organic compounds and their role in ecosystems. Appl Microbiol Biotechnol 99, 3395–3405, 10.1007/s00253-015-6494-4 (2015). [DOI] [PubMed] [Google Scholar]
  26. Muller A. et al. Volatile profiles of fungi – chemotyping of species and ecological functions. Fungal Genet Biol 54, 25–33, 10.1016/j.fgb.2013.02.005 (2013). [DOI] [PubMed] [Google Scholar]
  27. Duhl T. R., Helmig D. & Guenther A. Sesquiterpene emissions from vegetation: a review. Biogeosciences 5, 761–777, 10.5194/bg-5-761-2008 (2008). [DOI] [Google Scholar]
  28. Kramer R. & Abraham W.-R. Volatile sesquiterpenes from fungi: what are they good for? Phytochem Rev 11, 15–37, 10.1007/s11101-011-9216-2 (2012). [DOI] [Google Scholar]
  29. Rukachaisirikul V., Kaewbumrung C., Phongpaichit S. & Hajiwangoh Z. Eudesmane sesquiterpenes from the aquatic fungus Beltrania rhombica. Chem Pharm Bull 53, 238–240, 10.1248/cpb.53.238 (2005). [DOI] [PubMed] [Google Scholar]
  30. Ayoub N., Schultze W. & Lass D. Volatile constituents of the medicinal fungus chaga Inonotus obliquus (Pers.: Fr.) Pilát (Aphyllophoromycetideae). Int J Med Mushr 11, 55–60, 10.1615/IntJMedMushr.v11.i1.60 (2009). [DOI] [Google Scholar]
  31. Polizzi V. et al. Autoregulatory properties of (+)-thujopsene and influence of environmental conditions on its production by Penicillium decumbens. Microb Ecol 62, 838–852, 10.1007/s00248-011-9905-9 (2011). [DOI] [PubMed] [Google Scholar]
  32. Heddergott C., Calvo A. M. & Latgé J. P. The volatome of Aspergillus fumigatus. Eukaryot Cell 13, 1014–1025, 10.1128/EC.00074-14 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Polizzi V. et al. Influence of various growth parameters on fungal growth and volatile metabolite production by indoor molds. Sci Total Environ 414, 277–286, 10.1016/j.scitotenv.2011.10.035 (2012). [DOI] [PubMed] [Google Scholar]
  34. Oster M., Beck J. J., Furrow R. E., Yeung K. & Field C. B. In-field yellow starthistle (Centaurea solstitialis) volatile composition under elevated temperature and CO2 and implications for future control. Chemoecol 6, 313–323, 10.1007/s00049-015-0200-y (2015). [DOI] [Google Scholar]
  35. Agger S., Lopez-Gallego F. & Schmidt-Dannert C. Diversity of sesquiterpene synthases in the basidiomycete Coprinus cinereus. Mol Microbiol 72, 1181–1195, 10.1111/j.1365-2958.2009.06717.x (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Ma L.-J. et al. Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium. Nature 464, 367–373, 10.1038/nature08850 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Matysik S., Herbarth O. & Mueller A. Determination of volatile metabolites originating from mould growth on wall paper and synthetic media. J Microbiol Methods 75, 182–187, 10.1016/j.mimet.2008.05.027 (2008). [DOI] [PubMed] [Google Scholar]
  38. Lee S., Hung R., Yap M. & Bennett J. W. Age matters: the effects of volatile organic compounds emitted by Trichoderma atroviride on plant growth. Arch Microbiol 197, 723–727, 10.1007/s00203-015-1104-5 (2015). [DOI] [PubMed] [Google Scholar]
  39. Molina G., Bution M. L., Bicas J. L., Dolder M. A. & Pastore G. M. Comparative study of the bioconversion process using R-(+)- and S-(−)-limonene as substrates for Fusarium oxysporum 152B. Food Chem 174, 606–613, 10.1016/j.foodchem.2014.11.059 (2015). [DOI] [PubMed] [Google Scholar]
  40. Maróstica M. R. & Pastore G. M. Production of R-(+)-α-terpineol by the biotransformation of limonene from orange essential oil, using cassava waste water as medium. Food Chem 101, 345–350, 10.1016/j.foodchem.2005.12.056 (2007). [DOI] [Google Scholar]
  41. Prenafeta-Boldu F. X., Summerbell R. & Sybren de Hoog G. Fungi growing on aromatic hydrocarbons: biotechnology’s unexpected encounter with biohazard? FEMS Microbiol Rev 30, 109–130, 10.1111/j.1574-6976.2005.00007.x (2006). [DOI] [PubMed] [Google Scholar]
  42. Polizzi V. et al. Identification of volatile markers for indoor fungal growth and chemotaxonomic classification of Aspergillus species. Fungal Biol 116, 941–953, 10.1016/j.funbio.2012.06.001 (2012). [DOI] [PubMed] [Google Scholar]
  43. Bazemore R. A., Feng J., Cseke L. & Podila G. K. Biomedically important pathogenic fungi detection with volatile biomarkers. J Breath Res 6, 016002, 10.1088/1752-7155/6/1/016002 (2012). [DOI] [PubMed] [Google Scholar]
  44. Pais V. F., Oliveira J. A. & Gomes M. T. S. An electronic nose based on coated piezoelectric quartz crystals to certify ewes’ cheese and to discriminate between cheese varieties. Sensors 12, 1422–1436, 10.3390/s120201422 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Herberger S., Herold M., Ulmer H., Burdack-Freitag A. & Mayer F. Detection of human effluents by a MOS gas sensor in correlation to VOC quantification by GC/MS. Build Environ 45, 2430–2439, 10.1016/j.buildenv.2010.05.005 (2010). [DOI] [Google Scholar]
  46. Yamagiwa H. et al. Detection of volatile organic compounds by weight-detectable sensors coated with metal-organic frameworks. Sci Rep 4, 6247, 10.1038/srep06247 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Samson R. A., Houbraken J., Thrane U., Frisvad J. C. & B. A. Food and indoor fungi. (CBS-KNAW Fungal Biodiversity Centre, 2010). [Google Scholar]
  48. Ghirardo A., Heller W., Fladung M., Schnitzler J. P. & Schroeder H. Function of defensive volatiles in pedunculate oak (Quercus robur) is tricked by the moth Tortrix viridana. Plant Cell Environ 35, 2192–2207, 10.1111/j.1365-3040.2012.02545.x (2012). [DOI] [PubMed] [Google Scholar]
  49. Kreuzwieser J. et al. The Venus flytrap attracts insects by the release of volatile organic compounds. J Exp Bot 65, 755–766, 10.1093/jxb/ert455 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. van den Dool H. & Kratz P. D. A Generalization of the retention index system including linear temperature programmed gas-liquid partition chromatography. J Chromatog 11, 463–471, 10.1016/S0021-9673(01)80947-X (1962). [DOI] [PubMed] [Google Scholar]
  51. Velikova V. et al. Knocking down of isoprene emission modifies the lipid matrix of thylakoid membranes and influences the chloroplast ultrastructure in poplar. Plant Physiol 168, 859–870, 10.1104/pp.15.00612 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Kaling M. et al. UV-B mediated metabolic rearrangements in poplar revealed by non-targeted metabolomics. Plant Cell Environ 38, 892–904, 10.1111/pce.12348 (2015). [DOI] [PubMed] [Google Scholar]
  53. Jud W. et al. Effects of heat and drought stress on post illumination bursts of volatile organic compounds in isoprene emitting and non-emitting poplar. Plant Cell Environ, 10.1111/pce.12643 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Vanzo E. et al. S-nitroso-proteome in poplar leaves in response to acute ozone stress. PloS one 9, e106886, 10.1371/journal.pone.0106886 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Way D. A. et al. Increasing atmospheric CO2 reduces metabolic and physiological differences between isoprene- and non-isoprene-emitting poplars. New Phytol 200, 534–546, 10.1111/nph.12391 (2013). [DOI] [PubMed] [Google Scholar]
  56. Ghirardo A., Sorensen H. A., Petersen M., Jacobsen S. & Sondergaard I. Early prediction of wheat quality: analysis during grain development using mass spectrometry and multivariate data analysis. Rapid Commun Mass Spectrom 19, 525–532, 10.1002/rcm.1823 (2005). [DOI] [PubMed] [Google Scholar]
  57. Core Team R R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/ (2013).
  58. Harrell F. E. et al. Hmisc: Harrell Miscellaneous. R package version 3.10-1. URL http://CRAN.R-project.org/package=Hmisc (2012).
  59. Wei T. corrplot: Visualization of a correlation matrix. R package version 0.73. URL http://CRAN.R-project.org/package=corrplot (2013).

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information
srep22152-s1.pdf (1.1MB, pdf)

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES