Literature DB >> 24932485

Effect of fungal colonization of wheat grains with Fusarium spp. on food choice, weight gain and mortality of meal beetle larvae (Tenebrio molitor).

Zhiqing Guo1, Katharina Döll2, Raana Dastjerdi2, Petr Karlovsky2, Heinz-Wilhelm Dehne1, Boran Altincicek1.   

Abstract

Species of Fusarium have significant agro-economical and human health-related impact by infecting diverse crop plants and synthesizing diverse mycotoxins. Here, we investigated interactions of grain-feeding Tenebrio molitor larvae with four grain-colonizing Fusarium species on wheat kernels. Since numerous metabolites produced by Fusarium spp. are toxic to insects, we tested the hypothesis that the insect senses and avoids Fusarium-colonized grains. We found that only kernels colonized with F. avenaceum or Beauveria bassiana (an insect-pathogenic fungal control) were avoided by the larvae as expected. Kernels colonized with F. proliferatum, F. poae or F. culmorum attracted T. molitor larvae significantly more than control kernels. The avoidance/preference correlated with larval feeding behaviors and weight gain. Interestingly, larvae that had consumed F. proliferatum- or F. poae-colonized kernels had similar survival rates as control. Larvae fed on F. culmorum-, F. avenaceum- or B. bassiana-colonized kernels had elevated mortality rates. HPLC analyses confirmed the following mycotoxins produced by the fungal strains on the kernels: fumonisins, enniatins and beauvericin by F. proliferatum, enniatins and beauvericin by F. poae, enniatins by F. avenaceum, and deoxynivalenol and zearalenone by F. culmorum. Our results indicate that T. molitor larvae have the ability to sense potential survival threats of kernels colonized with F. avenaceum or B. bassiana, but not with F. culmorum. Volatiles potentially along with gustatory cues produced by these fungi may represent survival threat signals for the larvae resulting in their avoidance. Although F. proliferatum or F. poae produced fumonisins, enniatins and beauvericin during kernel colonization, the larvae were able to use those kernels as diet without exhibiting increased mortality. Consumption of F. avenaceum-colonized kernels, however, increased larval mortality; these kernels had higher enniatin levels than F. proliferatum or F. poae-colonized ones suggesting that T. molitor can tolerate or metabolize those toxins.

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Year:  2014        PMID: 24932485      PMCID: PMC4059719          DOI: 10.1371/journal.pone.0100112

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Fusarium species (Ascomycota, Nectriaceae) are among the most diverse and widespread plant-infecting fungi [1]. They cause important diseases of maize, small-grain cereals, vegetables and even trees [2]. Decreased yield as well as diminished quality of plant products due to Fusarium infection cause significant economic losses worldwide [3], [4]. Moreover, Fusarium species are prominent producers of medically relevant mycotoxins [5], [6]. Toxicologically most important mycotoxins produced by Fusarium species comprise sesquiterpenoids trichothecenes such as T-2 toxin and deoxynivalenol [7], polyketides such as fumonisins [8], and depsipeptides such as beauvericin or enniatins [9], [10]. Mycotoxin exposure resulting from the ingestion of contaminated products poses a hazard to human and animal health [3], [11], [12]. Moreover, immunocompromized patients occasionally develop invasive fusariosis caused most often by F. solani, F. oxysporum, or F. verticillioides [13], [14] and some mycotoxins were found to suppress humoral as well as cell-mediated immunity in mammals [11], [12]. Beauvericin a cyclic hexadepsipeptide was isolated from an entomopathogenic fungus Beauveria bassiana and was demonstrated to be toxic to invertebrates [15] before it was identified in extracts of two Fusarium species that were toxic to Colorado potato beetle [16]. Toxicity of beauvericin to insects is now well established [10], [17]. Enniatins, chemically closely related to beauvericins, were purified from extracts of Fusarium species because of their antibiotic activity [18]. Insecticidal properties of enniatins were discovered only after enniatins were purified from cultures of entomopathogenic (and plant pathogenic) species Fusarium lateritium [17]. The demonstration of the toxicity of enniatins was later extended to further insect species [19]. Although beauvericin and enniatins are most prominent insecticidal mycotoxins of Fusarium species, toxic effects of other Fusarium mycotoxins on insect individuals as well as tissue cultures were reported [20]–[22]. Studies performed with purified mycotoxins are inherently limited because toxic effects in nature result from exposures to mixtures of compounds with additive or synergistic effects, involving known mycotoxins as well as numerous less- or unknown metabolites. Moreover, while the biological function of trichothecenes as virulence factors in plant infection [23] and zearalenone as agent of interference competition and protection against mycoparasitic fungi [24] have been demonstrated, little is known about the biological functions and ecological roles of numerous other Fusarium-mycotoxins. With few exceptions, Fusarium species are not known as entomopathogens [22] and our understanding of ecological interactions of grain-feeding insects and grain-colonizing fungi is still scarce. Here, we used T. molitor to investigate interactions of meal beetles with diverse Fusarium species on wheat kernels. B. bassiana is a potent pathogen of tenebroid beetles [25] and was used as a positive control and uninfected kernels were used as negative control. T. molitor is an important and globally distributed pest of stored products and its capability of selecting optimal ratios of dietary components [26] indicates that beetles may also sense and avoid toxic fungi-colonized diet. Our working hypothesis was that T. molitor can distinguish among kernels colonized with diverse Fusarium species or B. bassiana and that the insect’s repulsion/attraction of respective kernels correlates with their impact on larvae’s survival.

Materials and Methods

Ethics Statement

No specific permits were required for the studies described here: a) no specific permissions were required for these locations/activities; b) locations were not privately-owned or protected; c) the studies did not involve endangered or protected species.

Study System

Isolation and identification of the strains was described in a previous study [27]. In brief, F. avenaceum 1.27 was isolated from colonized wheat kernels in the year 2008 at Poppelsdorf, Bonn, Germany, and taxonomically characterized as described in this study; F. culmorum 3.37 was isolated from colonized wheat in the year 2004 at Klein-Altendorf, Bonn, Germany; F. poae DSM 62376 was purchased from Deutsche Sammlung von Mikroorganismen und Zellkulturen (DSMZ, Braunschweig, Germany); F. proliferatum 21.1 was isolated from colonized maize in the year 2007 at Hainichen, Germany; and B. bassiana Bea2 was isolated from infected Otiorhynchus sulcatus (the black vine weevil) in the year 1989 at Stuttgart, Germany. The strains were grown on potato dextrose agar (PDA) plates in darkness at 23°C. The meal beetle T. molitor is a common storage pest and destructive insect species. T. molitor larvae were reared on whole wheat flour with 5% yeast extract in a climate chamber in darkness at 27±2°C and a relative humidity of 65±5%. Last instar larvae were starved for 72 h and were randomly selected prior use in experiments.

Inoculation of Wheat Kernels

For preparing diet contaminated with fungi, spring wheat kernels (cultivar Taifun) were soaked in distilled water for 18 h at room temperature and placed into 1 litre plastic bags separately, subsequently autoclaved for 30 min. Autoclaved wheat kernels were inoculated with fungal mycelia on PDA agar and incubated at room temperature for 4 weeks to ensure complete colonization of the kernels. Control diet was handled in a same way with un-inoculated PDA agar.

Larvae’s Preference/Avoidance Experiments

To determine preference or avoidance reactions of the larvae, feeding experiments were performed on Petri dishes with a diameter of 142 mm. The dishes were marked to generate four equal sectors in the form of identical pie slices (1, 2, 3 and 4). Into opposing sectors each 6 g uninfected kernels were placed and in the remaining two sectors each 6 g of kernels of interest (fungi-colonized or non-colonized). Then, 10 individuals of T. molitor were placed randomly in the centre of the Petri dishes. After 20 min in darkness and without any disturbance, the number of larvae in each sector was determined. In total, 20 repetitions with using each 10 naive, inexperienced larvae per sample were performed within one replicate and in total three independent replicates were performed.

Larval Weight Gain Determination

To monitor feeding of larvae, we determined the cumulative weight gain of 10 larvae within 24 h when fed on fungi-colonized or control kernels. Integral weights of 10 individuals were measured before and 24 h after placing on respective kernels. Per treatment 10 independent determinations were performed and in total three independent replicates were performed.

Survival Rate Analysis of Larvae on Fungal Mycelium, Colonized Kernels or upon Stabbing or Injection-based Infections

Per treatment 30 individuals of T. molitor were reared on mycelia of diverse Fusarium strains grown on PDA plates and survival rates were monitored daily for 15 days. In total five independent replicates were performed. For survival analysis on fungi-colonized kernels, 30 individuals of T. molitor per treatment were reared on respective kernels and survival rates were monitored for 15 days. In total three independent replicates were performed. For stabbing-based infection experiments, F. avenaceum, F. culmorum, F. poae, F. proliferatum or B. bassiana were inoculated on PDA plates and incubated for 2 weeks. Sterilized insect minutin pins were used to scratch a mixture of mycelia and conidia from the plate and to wound larvae dorso-laterally leaving mycelia and spores as small plug at the wounding site. In three independent replicates survival of larvae was monitored for the period of one week. Additionally, infection with spores using a syringe-based injection of approx. 104 conidia into each larva in 5 µl of water with 0.01% Tween 20 was performed. Survival of larvae was monitored after 5 days incubation in three independent replicates, with 120 larvae per group and per replicate. Living larvae were harvested at 0 day, 5 days, 10 days and 15 days time points then freeze-dried at −50°C for 48 h. The freeze-dried larvae were ground for subsequent DNA extraction and quantitative real time PCR analysis.

Mycotoxin Analysis

Wheat kernels and larvae were freeze-dried, ground and extracted as described [28]. Samples analyzed for beauvericin and enniatin content were not defatted to avoid losses of the mycotoxins in the organic phase. HPLC separation was performed on a RP column at 40°C and trichothecenes A, B and zearalenone were detected by tandem mass spectrometry using triple quadrupol 1200 L (Varian, Darmstadt, Germany) based on published methods [29], [30]. Two mass transitions were used for each toxin. Beauvericin, fumonisin B1 and enniatins were separated on the same HPLC system but detected using ion trap 500 MS (Varian, Darmstadt, Germany) as described [28]. For each mycotoxin detected on the ion trap, three mass transitions were used. Calibration curves were constructed using analytical standards dissolved in methanol/water (1∶1) with a correction for recovery and matrix effects. The limits of quantification for deoxynivalenol, nivalenol, fusarenon X, T2-toxin, diacetoxyscirpenol and neosolaniol, beauvericin, enniatin A, B, A1, B1 and fumonisin B1 ranged between 9 and 170 µg/kg in kernels and 9 and 130 µg/kg in larvae.

DNA Extraction, Sequencing and Real-time PCR

qPCR was conducted to monitor if any of tested Fusarium strains had the ability to proliferate in Tenebrio body cavity or tissue. Total DNA from T. molitor larvae was extracted from 30–50 mg of freeze-dried material using a CTAB method [31], purified by phenol extraction, precipitated with isopropanol and dissolved in 50 µl TE buffer (10 mM Tris, 1 mM EDTA, pH 8.0). DNA was diluted fifty fold prior to PCR analysis. Thermocycler (CFX384™, BioRad, USA) was used for real-time PCR analysis (qPCR) in a total volume of 4 µl. Primers MGBF/R [32], OPT 18F/R [33], Fp 82F/R [34], Fp3F/4R [35] and P1/P3 [36] were used for F. avenaceum, F. culmorum, F. poae, F. proliferatum and B. bassiana, respectively. The reaction mixture consisted of buffer (16 mM (NH4)2SO4; 67 mM Tris-HCl; 0.01% (v/v) Tween-20, pH 8.8 at 25°C, Bioline, Lükenwalde, Germany), 0.15 mM of each dNTP (Bioline, Lükenwalde, Germany), 2.5 mM MgCl2, 0.1 U of Taq DNA polymerase (BIOTaq, Bioline, Lükenwalde, Germany), 0.3 µM of each primer, 0.1×SYBR Green I (Invitrogen, Karlsruhe, Germany) and 1 mg/ml bovine serum albumin. The lowest standards set as limits of quantification (LOQ) were 14–40 ng/g for all four Fusarium spp. and 1.0 µg/g for B. bassiana. To amplify translation elongation factor 1-alpha (TEF) gene region, primers ef1/ef2 [37] were used. PCR was performed in reaction mixture described above with hot-start DNA polymerase (Immolase DNA Pol, Lükenwalde, Germany) in a total volume of 25 µl The following cycling conditions were used: 1 cycle of 10 min at 95°C, 30 cycles of 60 s at 94°C, 45 s at 58.5°C, and 60 s at 72°C, followed by a final extension cycle at 72°C for 5 min. Amplified DNA products were sequenced (LGC Genomics, Berlin, Germany) by Sanger method in both directions. The sequence of the TEF1a gene of F. avenaceum strain 1.27 was deposited at EMBL Nucleotide Sequence Database with the accession number HG794242. The taxonomical identity of the strain was determined with the help of morphological characters [38], its mycotoxin profile [6] and TEF1a sequence [39].

Statistical Analyses

Statistical analyses were performed with R 2.15.3 [40]. Weight gain values were log transformed before ANOVA. Survival rates over time were analyzed with a Cox regression model (coxph function) and survival proportion values were fitted to a generalized linear model (GLM) with quasibinominal error structure and logit link function.

Results

Survival Rates of Tenebrio Larvae Fed on Mycelium of Fusarium Species

In a first step we determined the capability of Fusarium species to induce mortality of larvae. We monitored the survival rates of T. molitor larvae reared on PDA plates covered with mycelium of four Fusarium species during a period of 15 days. Under these conditions fungal mycelium on PDA was the sole diet available for the larvae. We fitted a Cox’s proportional hazards model with censoring on the data set and found evidence for significant differences between the survival curves (log-rank-test, χ2 = 35.53; d.f. = 8; P<0.001) with a significant effect of Fusarium strains (χ2 = 27.17; d.f. = 4; P<0.001) when compared to controls (Fig. 1). We also found a significant effect of the second variable replicate (χ2 = 10.3; d.f. = 4; P = 0.036) with one out of five replicates showing some difference (z = 2.01; P = 0.045) when compared to the other replicates. Our analysis revealed that the daily hazard of larvae survival increased by 7.85 times (confidence interval at 95% level (CI) = 1.89 to 32.65 times) when feeding on F. culmorum mycelium, by 3.76 times (95% CI = 0.89 to 15.81 times) on F. avenaceum mycelium, by 4.96 times (95% CI = 1.19 to 20.76 times) on F. poae mycelium and by 5.34 times (95% CI = 1.28 to 22.29 times) on F. proliferatum mycelium, respectively, when compared to controls.
Figure 1

Survival of larvae feeding on mycelium of diverse Fusarium species grown on PDA.

Survival curves of larvae reared on PDA plates covered with mycelium of diverse Fusarium species were significantly reduced when compared to controls (Cox regression model, χ2 = 35.53; d.f. = 8; P<0.001; N = 560). In addition, survival curve on mycelium of the entomopathogen B. bassiana is shown as positive control.

Survival of larvae feeding on mycelium of diverse Fusarium species grown on PDA.

Survival curves of larvae reared on PDA plates covered with mycelium of diverse Fusarium species were significantly reduced when compared to controls (Cox regression model, χ2 = 35.53; d.f. = 8; P<0.001; N = 560). In addition, survival curve on mycelium of the entomopathogen B. bassiana is shown as positive control.

Larval Preference or Avoidance to Fungi-colonized Wheat Kernels

In a next step we investigated potential selective feeding behaviors of the larvae as we expected avoidance reactions towards kernels that were colonized with different Fusarium species. T. molitor larvae showed significant preference or avoidance reactions to colonized kernels depending on the fungal strain (Fig. 2A). Inspection of diagnostic plots as well as use of the Fligner-Killeen test for equality of variances [41] revealed that values were normally distributed and that there was homogeneity of variance for the examined groups. Therefore, an ANOVA test was performed on the data set. Unexpectedly, we found that larvae significantly preferred wheat kernels colonized with F. proliferatum (mean ± S.D. = 77±4%; CI = +21 to +33%), F. poae (70±5%; CI = +14 to +26%) or F. culmorum (60±2%; CI = +4 to +16%) while avoided kernels colonized by F. avenaceum (43±2%; CI = −7 to −13%) or B. bassiana (18±5%; CI = −26 to −38%) when compared to control kernels (50±1%; CI = 46 to 54%) (ANOVA, F = 113.3; d.f. = 5 and 12; P<0.001).
Figure 2

Reactions of larvae to fungi-colonized wheat kernels.

(A) Boxplot of relative preference or avoidance reactions of larvae within 20 min towards fungi-colonized wheat kernels. N = 360. (B) Boxplot of cumulative weight gain of each 10 larvae per data point within 24 h on colonized wheat kernels with in total N = 1,800. (C) Relative survival rate of larvae on colonized kernels was determined within 15 days. Results are shown as mean values ± CI at 95% levels with N = 360. Significant differences are indicated by letters or by asterisks.

Reactions of larvae to fungi-colonized wheat kernels.

(A) Boxplot of relative preference or avoidance reactions of larvae within 20 min towards fungi-colonized wheat kernels. N = 360. (B) Boxplot of cumulative weight gain of each 10 larvae per data point within 24 h on colonized wheat kernels with in total N = 1,800. (C) Relative survival rate of larvae on colonized kernels was determined within 15 days. Results are shown as mean values ± CI at 95% levels with N = 360. Significant differences are indicated by letters or by asterisks. The preference or avoidance behaviors correlated with significant changes in larval weight gain within 24 h on kernels (Fig. 2B). Inspection of diagnostic plots as well as use of the Fligner-Killeen test for equality of variances revealed that logarithmically transformed values were normally distributed and that there was homogeneity of variance for the examined groups. Therefore, an ANOVA test was performed on the data set with the log-transformed response variable weight gain. When compared to larvae reared on control kernels (cumulative weight gain of 10 larvae within 24 h: 138.1±22.1 mg; CI = 132.2 to 153.4 mg) larvae significantly gained more weight on wheat kernels colonized by F. proliferatum (173±35.2 mg), F. poae (168.4±32 mg) or F. culmorum (167.8±29.1 mg), while gained less weight on kernels colonized by F. avenaceum (108.5±20.6 mg) or B. bassiana (79.1±13.6 mg) (ANOVA, F = 66.79, d.f. = 7 and 172, P<0.001). Of note, we found a significant effect of the explanatory variable replicate (F = 3.31; d.f. = 2; P = 0.039) with one out of three replicates showing significant difference (t value = −2.57; P = 0.011) when compared to the other two replicates.

Survival Rates on Wheat Kernels Colonized with Mycotoxin-producing Fungi

We determined the survival rate of larvae ingesting fungi-colonized kernels for a period of 15 days. Fitting the data to a generalized linear model with quasibinominal error structure and logit link function revealed that the survival rate of the T. molitor larvae feeding on F. proliferatum (80±12%; odds ratio (OR) = 0.77 and CI = 0.53 to 1.13) or F. poae (79±13%; OR = 0.72 and CI = 0.49 to 1.05) colonized kernels were not significantly different when compared to survival rates on control kernels (84±11%), even when there was a slight reduction (Fig. 2C). However, survival rates of larvae feeding on F. avenaceum (73±14%; OR = 0.53 and CI = 0.37 to 0.77; P<0.001), F. culmorum (73±13%; OR = 0.51 and CI = 0.35 to 0.73; P<0.001) or B. bassiana (41±36%; OR = 0.13 and CI = 0.09 to 0.19; P<0.001) colonized kernels were significantly reduced when compared to larvae feeding on control kernels (Fig. 2C) (GLM, F = 40.635; d.f. = 5 and 354; P<0.001). To test our initial hypothesis that larvae’s avoidance levels against fungi-colonized kernels correlate with the capability of respective kernels to induce higher mortality rates in larvae, we performed a Kendall’s tau statistical analysis. This analysis estimates a rank-based measure of association of not normally distributed values. The results of this test indicated that avoidance levels of larvae were correlated with their survival rates in our examined cases (Kendall’s tau factor = −0.71; z = −1.8321, P = 0.033) (Figure S1). To examine whether mycotoxins accumulated in colonized kernels were responsible for the reduction of survival rates and avoidance behavior towards colonized kernels, we estimated the content of mycotoxins in wheat kernels and in larvae that died within 15 days. The analysis of kernels confirmed the production of fumonisin B1, enniatins and beauvericin by F. proliferatum, of enniatins and beauvericin by F. poae, enniatins by F. avenaceum, beauvericin by B. bassiana, and deoxynivalenol and zearalenone by F. culmorum (Table 1). Of note, low amounts of enniatins were found in kernels colonized with B. bassiana that likely originated from naturally contaminated kernels. In general, mycotoxins found in kernels were also found in larvae fed on the respective kernels, with the only exception of deoxynivalenol.
Table 1

Mycotoxin content in kernels or T. molitor larvae.

B. bassiana F. avenaceum F. culmorum F. poae F. proliferatum
KernelsLarvaeKernelsLarvaeKernelsLarvaeKernelsLarvaeKernelsLarvae
(µg mycotoxin/g meal)
Beauvericin0.03<LOQ<LOQ<LOQ30.101.19±0.3236.360.24±0.34
Enniatin A<LOQ<LOQ14.260.04±0.03<LOQ<LOQ0.030.01±0.01
Enniatin A1<LOQ<LOQ60.510.33±0.25<LOQ<LOQ<LOQ<LOQ
Enniatin B0.210.19±0.04>9013.00±5.960.321.84±2.5927.090.09±0.06
Enniatin B1<LOQ<LOQ>900.99±0.350.030.21±0.312.890.01±0.01
Fumonisin B1<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ39.741.86±0.64
Diacetoxyscirpenol<LOQ<LOQ<LOQ<LOQ
Neosolaniol<LOQ<LOQ<LOQ<LOQ
T-2 toxin<LOQ<LOQ<LOQ<LOQ
Deoxynivalenol<LOQ<LOQ10.24<LOQ<LOQ<LOQ
Nivalenol<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Zearalenone<LOQ<LOQ>2100.02±0.01<LOQ<LOQ
Fusarenon X<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ

The values indicate mean values and respective standard deviation. Hyphens indicate that the mycotoxin was not analyzed.

The values indicate mean values and respective standard deviation. Hyphens indicate that the mycotoxin was not analyzed.

Altered Feeding Behavior of Larvae on Colonized Kernels

Interestingly, we observed that T. molitor larvae showed varying preference in feeding outer or inner parts of colonized kernels, probably as consequence of concentration variations of more water soluble or insoluble fungal metabolites within the kernels (Fig. 3). To quantify these preferences of larvae, we first compared values of respective percentages of kernels with visible feeding traces for all groups. We fitted a generalized linear model with quasibinominal error structure and logit link function to the data and observed that there were significantly more wheat kernels with feeding sign when colonized with F. proliferatum (62.93±3.28%; OR = 1.8; CI = 1.56 to 2.06), F. poae (61.55±2.69%; OR = 1.69; CI = 1.47 to 1.94) or F. culmorum (59.18±6.49%; OR = 1.53; CI = 1.33 to 1.76) and less kernels with sign of feeding colonized with F. avenaceum (31.67±3.32%; OR = 0.49; CI = 0.43 to 0.56) or B. bassiana (20.29±2.57%; OR = 0.27; CI = 0.23 to 0.31) when compared to controls (48.6±2.22%) (GLM, F = 216.32; d.f. = 5 and 54; P<0.001). Next, we compared kernels with feeding signs divided by the number of kernels with additional signs of caving. Since uninfected kernels as well as kernels colonized with F. avenaceum or B. bassiana showed no signs of caving at all, these groups were excluded from the analysis. Using a generalized linear model with quasibinominal error structure and logit link function we found significant differences between the groups (GLM, F = 946.31; d.f. = 2 and 27; P<0.001); kernels colonized with F. proliferatum with no signs of caving were 92.1±1.99% (OR = 19.05; CI = 15.85 to 23.04), with F. poae 90.43±1.83% (OR = 15.46; CI = 13.01 to 18.47) and with F. culmorum were 37.93±3.71% (OR = 0.61; CI = 0.56 to 0.67), respectively.
Figure 3

Selective feeding behavior of larvae on fungi-colonized kernels.

(A) F. culmorum and (B) F. proliferatum colonized kernels are shown. Larvae preferred feeding on the inner parts of the kernels infested with F. culmorum and on the outer parts of the kernels infested with F. proliferatum.

Selective feeding behavior of larvae on fungi-colonized kernels.

(A) F. culmorum and (B) F. proliferatum colonized kernels are shown. Larvae preferred feeding on the inner parts of the kernels infested with F. culmorum and on the outer parts of the kernels infested with F. proliferatum.

Survival Rates of Larvae Infected by Inoculation of Conidia into the Hemocoel

To address the question whether Fusarium species are capable of replicating in the insect’s hemocoel and thereby contributing to the reduction of larvae’s survival rate we injected fungal strains into larvae. As a first experiment, we performed a stabbing-based infection route using fungi-contaminated needles. Using this approach, we found no significant effect on larval survival rates by injected Fusarium strains; however, as expected, a significantly reduced survival rate by entomopathogenic B. bassiana (GLM, F = 17.66; d.f. = 6; P<0.001) (Figure S2). In a second experiment, we used a syringe-based injection method resulting in an inoculation with approx. 104 fungal conidia per larva. Using this second approach with a relatively high infection dose, we determined a significant reduction in larvae’s survival rate post injection with each fungus. Fitting the data to a generalized linear model with quasibinominal error structure and logit link function revealed that larvae’s survival rate was reduced by F. proliferatum (65.19±1.7%; OR = 0.53; CI = 0.42 to 0.67), F. poae (66.3±2.31%; OR = 0.56; CI = 0.45 to 0.71), F. culmorum (29.63±3.57%; OR = 0.12; CI = 0.09 to 0.15) or F. avenaceum (32.6±2.31%; OR = 0.14; CI = 0.11 to 0.17) when compared to wounded controls (77.78±5.09%) or sterile puffer injected animals (74.81±1.69%) (GLM, F = 300.32; d.f. = 6 and 14; P<0.001). Values from B. bassiana challenged larvae were excluded from the analysis, since all treated animals died resulting in a variance of 0 thereby disturbing statistical analysis. The DNA content of used Fusarium strains in inoculated larvae was estimated by qPCR after a period of 5, 10, and 15 days to determine whether the fungi can germinate and grow in the larvae. We were unable to detect DNA of any of the tested Fusarium species in living larvae; only DNA of B. bassiana used as a positive control was measurable (Table 2).
Table 2

Fungal DNA in larvae injected with conidia.

Fungal speciesSpecies-specific fungal DNA in larvae (µg/g)
Days post injection(day)
051015
Beauveria bassiana <LOQ57±75130±87118±88
Fusarium avenaceum <LOQ<LOQ<LOQ<LOQ
Fusarium culmorum <LOQ<LOQ<LOQ<LOQ
Fusarium poae <LOQ<LOQ<LOQ<LOQ
Fusarium proliferatum <LOQ<LOQ<LOQ<LOQ

Means and standard deviations are shown. The limits of quantification (LOQ) values were 14–40 ng/g for Fusarium spp. and 1.0 µg/g for B. bassiana.

Means and standard deviations are shown. The limits of quantification (LOQ) values were 14–40 ng/g for Fusarium spp. and 1.0 µg/g for B. bassiana.

Discussion

The present study provides insights into ecological interactions of the meal beetle T. molitor with selected Fusarium species and B. bassiana on wheat kernels. When fungal mycelium was provided as the only food source, survival rates of the larvae were reduced with all tested Fusarium species. However, in a more ecologically relevant situation, when fungus-colonized wheat kernels were used as diet, we observed that the survival rates of T. molitor larvae fed on F. proliferatum- or F. poae-colonized kernels were similar to controls and larvae fed on F. avenaceum-, F. culmorum- or B. bassiana-colonized kernels were significantly reduced when compared to survival rates of larvae fed on non-colonized kernels. T. molitor larvae preferred feeding on kernels colonized with F. proliferatum, F. poae, or F. culmorum over control kernels and avoided feeding on kernels colonized with F. avenaceum or B. bassiana. These behavioral reactions correlated with the capability of fungal species to reduce larvae survival on colonized wheat kernels, except for F. culmorum-colonized kernels. None of the tested Fusarium species multiplied in living larvae when injected into the insect’s hemocoel, in contrast to the entomopathogen B. bassiana. The differences within some independent replicates in our experiments provide some evidence for the hypothesis that Fusarium mycotoxins are responsible for increased insect mortality rates, since mycotoxin levels tend to vary between replicates even if environmental factors are strictly controlled [42]. Larve fed on grain colonized with F. culmorum exhibited the highest mortality rate. Major mycotoxins produced by F. culmorum are deoxynivalenol and zearalenone. High levels of both mycotoxins were found in kernels colonized with F. culmorum but only low or undetectable concentrations were found in larvae fed on F. culmorum-colonized kernels. This may be a result of insects avoiding kernel parts with high toxin content and/or that these mycotoxins were efficiently metabolized. However, the survival of larvae fed on these kernels was low indicating that either transformation products of deoxynivalenol or zearalenone were still toxic or other toxic products of F. culmorum were present. In F. avenaceum-colonized kernels high levels of enniatins may have contributed to the elevated mortality rates of larvae fed on colonized kernels; insect toxicity of enniatins is well documented [17], [19]. Interestingly, we detected only low amounts of beauvericin in wheat kernels colonized with B. bassiana, which probably killed insects by utilizing other mechanisms including multiplication within the host. Another evidence that beauvericin may not be responsible for larval mortality in this study is the high survival rates of larvae fed on F. proliferatum and F. poae-colonized kernels, which contained high levels of beauvericin. Natural selection is likely to act on multiple levels in both insects and fungi. Insects may use fungi as diet or may avoid potentially pathogenic fungi or fungal toxins. For example, the beetle Coccinella septempunctata a predator of many insects was shown to avoid B. bassiana-colonized insect preys or contaminated leaf surfaces [43]. A similar avoidance behavior was found in the bug Anthocoris nemorum [44]. Fungal volatiles represent key repellence signals for these insects and probably also for T. molitor in our study. A recent study with the termite Macrotermes michealseni provided evidence that a mixture of the volatiles 4, 5-dihydro-5-pentyl-2-(3H)furanone, borneol, 4-nonanone, 2-nonanone, butyrolactone, and camphor contributed largley to the repellency of B. bassiana to this termite species [45]. On the other side, insects may increase their tolerance or resistance against potentially pathogenic fungi or their toxins. Supporting this view, larvae of T. molitor have recently been reported to be much more tolerant or resistant to tested Fusarium mycotoxins than other insect larvae such as armyworms; Moore and Davis reported that T. molitor larvae were about 100 times more tolerant to dietary T-2 toxin than the armyworm Mamestra configurata [46]. Genomic data of a related tenebrionid beetle, the red flour beetle Tribolium castaneum, further supports this view by identifying specific genetic adaptations including gene duplications of the CYP450 subfamilies CYP6 and CYP9, which are known to be involved in toxin resistances [47], or of immune-inducible anti-fungal thaumatins [48]. Taken together, this indicates that tenebrionid beetles may have adapted to counteract to toxic fungi in their environments and determination of the genome sequence of T. molitor may further help to address this hypothesis. Fungi, on the other side, may produce chemical compounds to react to competition or may increase tolerance against grazing. Moreover, producing diverse volatile components fungi could easily gain fitness benefits by attracting, repelling or remaining invisible to potential insect hosts, competitors or vectors depending on selective pressures. Indeed, recent studies revealed the role of fungal toxins in interactions of fungi with fungivorous arthropods [49]–[52]. Enhanced production of fungal toxins as a defense response of Aspergillus nidulans against fungivorous collembolans was recently established [53]. In the present study we have not investigated induced reactions of Fusarium fungi to the presence or feeding of beetles; this will be the subject of subsequent studies. In conclusion, our study shed light on ecological interactions of T. molitor larvae with four Fusarium species. We found that larvae have evolved to sense threats derived from F. avenaceum- or B. bassiana-colonized kernels, but not the threats of F. culmorum-colonized kernels. Kernels infested with F. poae or F. proliferatum showed no significant impact on larvae’s survival rates under tested conditions. To identify the nature of the threat signals for the larvae will be part of our future studies. Knowledge on these signals as well as their correlations with the presence of specific mycotoxins may help better understand mutual ecological adaptations of meal beetle and Fusarium species. Correlation of avoidance levels of larvae towards fungi-colonized kernels to their respective survival rates. (TIF) Click here for additional data file. Mortality rates of larvae stabbed with fungi-contaminated minutin pins within 7 days with N = 630. (TIF) Click here for additional data file.
  30 in total

1.  Formation of fumonisins and other secondary metabolites by Fusarium oxysporum and F. proliferatum: a comparative study.

Authors:  A Waskiewicz; P Golinski; Z Karolewski; L Irzykowska; J Bocianowski; M Kostecki; Z Weber
Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess       Date:  2010-05

2.  Role of zearalenone lactonase in protection of Gliocladium roseum from fungitoxic effects of the mycotoxin zearalenone.

Authors:  Jan Utermark; Petr Karlovsky
Journal:  Appl Environ Microbiol       Date:  2006-11-17       Impact factor: 4.792

3.  Fumonisins, mycotoxins produced by fusarium species: biology, chemistry, and significance.

Authors:  P E Nelson; A E Desjardins; R D Plattner
Journal:  Annu Rev Phytopathol       Date:  1993       Impact factor: 13.078

4.  Avoidance of a generalist entomopathogenic fungus by the ladybird, Coccinella septempunctata.

Authors:  Emma L Ormond; Alison P M Thomas; Judith K Pell; Stephen N Freeman; Helen E Roy
Journal:  FEMS Microbiol Ecol       Date:  2011-05-06       Impact factor: 4.194

Review 5.  Entomogenous Fusarium species.

Authors:  G H Teetor-Barsch; D W Roberts
Journal:  Mycopathologia       Date:  1983-12-01       Impact factor: 2.574

6.  The genome of the model beetle and pest Tribolium castaneum.

Authors:  Stephen Richards; Richard A Gibbs; George M Weinstock; Susan J Brown; Robin Denell; Richard W Beeman; Richard Gibbs; Richard W Beeman; Susan J Brown; Gregor Bucher; Markus Friedrich; Cornelis J P Grimmelikhuijzen; Martin Klingler; Marce Lorenzen; Stephen Richards; Siegfried Roth; Reinhard Schröder; Diethard Tautz; Evgeny M Zdobnov; Donna Muzny; Richard A Gibbs; George M Weinstock; Tony Attaway; Stephanie Bell; Christian J Buhay; Mimi N Chandrabose; Dean Chavez; Kerstin P Clerk-Blankenburg; Andrew Cree; Marvin Dao; Clay Davis; Joseph Chacko; Huyen Dinh; Shannon Dugan-Rocha; Gerald Fowler; Toni T Garner; Jeffrey Garnes; Andreas Gnirke; Alica Hawes; Judith Hernandez; Sandra Hines; Michael Holder; Jennifer Hume; Shalini N Jhangiani; Vandita Joshi; Ziad Mohid Khan; LaRonda Jackson; Christie Kovar; Andrea Kowis; Sandra Lee; Lora R Lewis; Jon Margolis; Margaret Morgan; Lynne V Nazareth; Ngoc Nguyen; Geoffrey Okwuonu; David Parker; Stephen Richards; San-Juana Ruiz; Jireh Santibanez; Joël Savard; Steven E Scherer; Brian Schneider; Erica Sodergren; Diethard Tautz; Selina Vattahil; Donna Villasana; Courtney S White; Rita Wright; Yoonseong Park; Richard W Beeman; Jeff Lord; Brenda Oppert; Marce Lorenzen; Susan Brown; Liangjiang Wang; Joël Savard; Diethard Tautz; Stephen Richards; George Weinstock; Richard A Gibbs; Yue Liu; Kim Worley; George Weinstock; Christine G Elsik; Justin T Reese; Eran Elhaik; Giddy Landan; Dan Graur; Peter Arensburger; Peter Atkinson; Richard W Beeman; Jim Beidler; Susan J Brown; Jeffery P Demuth; Douglas W Drury; Yu-Zhou Du; Haruhiko Fujiwara; Marce Lorenzen; Vincenza Maselli; Mizuko Osanai; Yoonseong Park; Hugh M Robertson; Zhijian Tu; Jian-jun Wang; Suzhi Wang; Stephen Richards; Henry Song; Lan Zhang; Erica Sodergren; Doreen Werner; Mario Stanke; Burkhard Morgenstern; Victor Solovyev; Peter Kosarev; Garth Brown; Hsiu-Chuan Chen; Olga Ermolaeva; Wratko Hlavina; Yuri Kapustin; Boris Kiryutin; Paul Kitts; Donna Maglott; Kim Pruitt; Victor Sapojnikov; Alexandre Souvorov; Aaron J Mackey; Robert M Waterhouse; Stefan Wyder; Evgeny M Zdobnov; Evgeny M Zdobnov; Stefan Wyder; Evgenia V Kriventseva; Tatsuhiko Kadowaki; Peer Bork; Manuel Aranda; Riyue Bao; Anke Beermann; Nicola Berns; Renata Bolognesi; François Bonneton; Daniel Bopp; Susan J Brown; Gregor Bucher; Thomas Butts; Arnaud Chaumot; Robin E Denell; David E K Ferrier; Markus Friedrich; Cassondra M Gordon; Marek Jindra; Martin Klingler; Que Lan; H Michael G Lattorff; Vincent Laudet; Cornelia von Levetsow; Zhenyi Liu; Rebekka Lutz; Jeremy A Lynch; Rodrigo Nunes da Fonseca; Nico Posnien; Rolf Reuter; Siegfried Roth; Joël Savard; Johannes B Schinko; Christian Schmitt; Michael Schoppmeier; Reinhard Schröder; Teresa D Shippy; Franck Simonnet; Henrique Marques-Souza; Diethard Tautz; Yoshinori Tomoyasu; Jochen Trauner; Maurijn Van der Zee; Michel Vervoort; Nadine Wittkopp; Ernst A Wimmer; Xiaoyun Yang; Andrew K Jones; David B Sattelle; Paul R Ebert; David Nelson; Jeffrey G Scott; Richard W Beeman; Subbaratnam Muthukrishnan; Karl J Kramer; Yasuyuki Arakane; Richard W Beeman; Qingsong Zhu; David Hogenkamp; Radhika Dixit; Brenda Oppert; Haobo Jiang; Zhen Zou; Jeremy Marshall; Elena Elpidina; Konstantin Vinokurov; Cris Oppert; Zhen Zou; Jay Evans; Zhiqiang Lu; Picheng Zhao; Niranji Sumathipala; Boran Altincicek; Andreas Vilcinskas; Michael Williams; Dan Hultmark; Charles Hetru; Haobo Jiang; Cornelis J P Grimmelikhuijzen; Frank Hauser; Giuseppe Cazzamali; Michael Williamson; Yoonseong Park; Bin Li; Yoshiaki Tanaka; Reinhard Predel; Susanne Neupert; Joachim Schachtner; Peter Verleyen; Florian Raible; Peer Bork; Markus Friedrich; Kimberly K O Walden; Hugh M Robertson; Sergio Angeli; Sylvain Forêt; Gregor Bucher; Stefan Schuetz; Ryszard Maleszka; Ernst A Wimmer; Richard W Beeman; Marce Lorenzen; Yoshinori Tomoyasu; Sherry C Miller; Daniela Grossmann; Gregor Bucher
Journal:  Nature       Date:  2008-03-23       Impact factor: 49.962

7.  PCR-based strategy to detect contamination with mycotoxigenic Fusarium species in maize.

Authors:  Miguel Jurado; Covadonga Vázquez; Sonia Marín; Vicente Sanchis; M Teresa González-Jaén
Journal:  Syst Appl Microbiol       Date:  2006-03-02       Impact factor: 4.022

8.  Comparison of volatile blends and nucleotide sequences of two Beauveria bassiana isolates of different virulence and repellency towards the termite Macrotermes michealseni.

Authors:  D M Mburu; N K Maniania; A Hassanali
Journal:  J Chem Ecol       Date:  2012-11-01       Impact factor: 2.626

Review 9.  Fusarium infections in immunocompromised patients.

Authors:  Marcio Nucci; Elias Anaissie
Journal:  Clin Microbiol Rev       Date:  2007-10       Impact factor: 26.132

10.  Upscaled CTAB-based DNA extraction and real-time PCR assays for Fusarium culmorum and F. graminearum DNA in plant material with reduced sampling error.

Authors:  Christoph Brandfass; Petr Karlovsky
Journal:  Int J Mol Sci       Date:  2008-11-25       Impact factor: 6.208

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  15 in total

1.  Antifungal efficacy of plant essential oils against stored grain fungi of Fusarium spp.

Authors:  Peeyush Kumar; Sapna Mishra; Atul Kumar; Amit Kumar Sharma
Journal:  J Food Sci Technol       Date:  2016-10-13       Impact factor: 2.701

Review 2.  A Systematic Review of the Behavioral Responses by Stored-Product Arthropods to Individual or Blends of Microbially Produced Volatile Cues.

Authors:  Marco A Ponce; Tania N Kim; William R Morrison Iii
Journal:  Insects       Date:  2021-04-28       Impact factor: 2.769

3.  In the tripartite combination Botrytis cinerea-Arabidopsis-Eurydema oleracea, the fungal pathogen alters the plant-insect interaction via jasmonic acid signalling activation and inducible plant-emitted volatiles.

Authors:  Luisa Ederli; Gianandrea Salerno; Mara Quaglia
Journal:  J Plant Res       Date:  2021-03-18       Impact factor: 2.629

4.  Contrasting Roles of Deoxynivalenol and Nivalenol in Host-Mediated Interactions between Fusarium graminearum and Sitobion avenae.

Authors:  Jassy Drakulic; Mohd Haziq Kahar; Olubukola Ajigboye; Toby Bruce; Rumiana V Ray
Journal:  Toxins (Basel)       Date:  2016-11-30       Impact factor: 4.546

5.  Aflatoxin B1 Tolerance and Accumulation in Black Soldier Fly Larvae (Hermetia illucens) and Yellow Mealworms (Tenebrio molitor).

Authors:  Guido Bosch; H J van der Fels-Klerx; Theo C de Rijk; Dennis G A B Oonincx
Journal:  Toxins (Basel)       Date:  2017-06-02       Impact factor: 4.546

Review 6.  Abiotic and Biotic Factors Regulating Inter-Kingdom Engagement between Insects and Microbe Activity on Vertebrate Remains.

Authors:  Heather R Jordan; Jeffery K Tomberlin
Journal:  Insects       Date:  2017-05-24       Impact factor: 2.769

7.  Feeding study for the mycotoxin zearalenone in yellow mealworm (Tenebrio molitor) larvae-investigation of biological impact and metabolic conversion.

Authors:  Kelly Niermans; Jan Woyzichovski; Nina Kröncke; Rainer Benning; Ronald Maul
Journal:  Mycotoxin Res       Date:  2019-03-13       Impact factor: 3.833

8.  Dissemination of Fusarium proliferatum by mealworm beetle Tenebrio molitor.

Authors:  Zhiqing Guo; Katharina Pfohl; Petr Karlovsky; Heinz-Wilhelm Dehne; Boran Altincicek
Journal:  PLoS One       Date:  2018-09-27       Impact factor: 3.240

Review 9.  Safety of Alternative Proteins: Technological, Environmental and Regulatory Aspects of Cultured Meat, Plant-Based Meat, Insect Protein and Single-Cell Protein.

Authors:  Joshua Hadi; Gale Brightwell
Journal:  Foods       Date:  2021-05-28

10.  VOC emissions influence intra- and interspecific interactions among stored-product Coleoptera in paddy rice.

Authors:  Giulia Giunti; Vincenzo Palmeri; Giuseppe Massimo Algeri; Orlando Campolo
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

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