Next Article in Journal
Dissipation, Bioconcentration and Dietary Risk Assessment of Thiamethoxam and Its Metabolites in Agaricus bisporus and Substrates under Different Application Methods
Next Article in Special Issue
Laboratory-Induced Bifenthrin, Flonicamid, and Thiamethoxam Resistance and Fitness Costs in Rhopalosiphum padi
Previous Article in Journal
Validation of a Method Scope Extension for Simple Biomonitoring of 353 Pollutants in Serum Samples
Previous Article in Special Issue
Sublethal Effects of Neonicotinoid Insecticides on the Development, Body Weight and Economic Characteristics of Silkworm
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Triazine Herbicide and NPK Fertilizer Exposure: Accumulation of Heavy Metals and Rare Earth Elements, Effects on Cuticle Melanization, and Immunocompetence in the Model Species Tenebrio molitor

1
Department of Chemistry and Chemical Technologies, University of Calabria,87036 Rende, Italy
2
Department of Biology, Ecology and Earth Science, University of Calabria, 87036 Rende, Italy
3
CNR-Institute of Atmospheric Pollution Research, 87036 Rende, Italy
*
Authors to whom correspondence should be addressed.
Toxics 2023, 11(6), 499; https://doi.org/10.3390/toxics11060499
Submission received: 24 April 2023 / Revised: 27 May 2023 / Accepted: 29 May 2023 / Published: 1 June 2023

Abstract

:
The increasing use of agrochemicals, including fertilizers and herbicides, has led to worrying metal contamination of soils and waters and raises serious questions about the effects of their transfer to different levels of the trophic web. Accumulation and biomagnification of essential (K, Na, Mg, Zn, Ca), nonessential (Sr, Hg, Rb, Ba, Se, Cd, Cr, Pb, As), and rare earth elements (REEs) were investigated in newly emerged adults of Tenebrio molitor exposed to field-admitted concentrations of a metribuzin-based herbicide and an NPK blend fertilizer. Chemical analyses were performed using inductively coupled plasma tandem mass spectrometry (ICP-MS/MS) supported by unsupervised pattern recognition techniques. Physiological parameters such as cuticle melanization, cellular (circulating hemocytes), and humoral (phenoloxidase enzyme activity) immune responses and mass loss were tested as exposure markers in both sexes. The results showed that NPK fertilizer application is the main cause of REE accumulation in beetles over time, besides toxic elements (Sr, Hg, Cr, Rb, Ba, Ni, Al, V, U) also present in the herbicide-treated beetles. The biomagnification of Cu and Zn suggested a high potential for food web transfer in agroecosystems. Gender differences in element concentrations suggested that males and females differ in element uptake and excretion. Differences in phenotypic traits show that exposure affects metabolic pathways involving sequestration and detoxification during the transition phase from immature-to-mature beetles, triggering a redistribution of resources between sexual maturation and immune responses. Our findings highlight the importance of setting limits for metals and REEs in herbicides and fertilizers to avoid adverse effects on species that provide ecosystem services and contribute to soil health in agroecosystems.

1. Introduction

The growing global demand for food to feed humans and livestock has led to an increase in agricultural activities and the application of annually increasing amounts of fertilizers [1] to supply macro- and micronutrients to soil, as well as plant protection products including herbicides.
Fertilizers are broadly classified into inorganic fertilizers, which include nitrogenous, phosphate, potassium, and complex fertilizers, and organic fertilizers such as farmyard manure, bone meal, compost, and green manures. NPK blends are the most commonly used mineral fertilizers in agriculture [2,3]. They contain the three basic plant nutrients, i.e., nitrogen (N), phosphorus (P), and potassium (K) in concentrations that vary with soil and crop type, and are often enriched with Ca, Mg, and micronutrients such as Fe, Mn, Zn, B, Mo, and Cu together act on plant metabolism to improve crop growth and production [4]. In addition, commercial fertilizers have been shown to contain trace metals such as Cd, As, Cr, Zn, Ni, and Pb in varying concentrations depending on the geographic origin of phosphate rocks [5,6] or livestock manure and sewage sludges [7]. The first concern that arises in the context of agricultural pollution control is the alteration of the physical and chemical properties and fertility of soils, leading to acidification and nitrification, and the eutrophication of water bodies due to fertilizers runoff, resulting from their long-term application [8,9]. This is also a consequence of the fact that the market of fertilizers is not subject to strict regulation and has been partially harmonized by European regulation [10].
Herbicides are chemicals used as pre- and post-emergence treatments to selectively inhibit weeds by acting on photosynthesis, pigments, cell membrane, cell growth, lipids, and amino acid synthesis [11]. Currently, they account for about 50% of the annual amount of chemicals used in agricultural soils to protect crops [12,13]. However, herbicides have been found to cause side effects on non-target species at all levels of the trophic web [14,15,16,17,18] and the alteration of communities in terrestrial [19,20] and aquatic ecosystems [21]. In agricultural systems, herbicides applied to soil can affect soil-dwelling arthropods [22], exposed by direct spraying or drift, including insects involved in pest control [23] and pollination [24,25], and disrupt basic symbiotic associations [26,27,28]. Recent studies have also found that the ecological risk of commercial herbicide formulations depends primarily on adjuvants added to enhance the absorption and stability of the active ingredient [29] as well as metalloids and metals added due to impurities during the manufacturing processes or as nanoparticles to accelerate cell penetration, often resulting in concentrations above permitted levels [30,31]. Triazines are chemicals used for pre- and post-emergence weed control. They are taken up through the roots and transported upward within the plant to the leaves and cause the inhibition of photosynthesis by blocking electron transport binding a protein subunit of photosystem II [32]. These include metribuzin [4-amino-6 t-butyl-3-methylthio)-1,2,4 triazine-5(4H) one], which is used worldwide on potatoes, soybeans, sugarcane, wheat, and other crops. Its persistence in the environment is short to moderate depending on soil pH [32]. This herbicide has been shown to have adverse effects on terrestrial and aquatic nontarget organisms. In earthworms, it has been reported to interfere with growth, survival [33], and nervous and immune systems [34]. Effects on populations have been noted in soil-dwelling mites [35] and curculionid alfalfa weevils [36]. In addition, genotoxic effects have been tested in Drosophila melanogaster [37], ground beetles [38], and bumblebees as pollinators [39]. Sublethal effects on hematological, biochemical, and histopathological parameters occurred in fish, [40,41], crustaceans [42], mammals [43], and humans [44].
Current data indicate that intensive and continuous applications of fertilizers and agrochemicals (i.e., insecticides, herbicides, fungicides), used to ensure successful crop production, enrich soil with potentially harmful levels of metals such as As, Cd, Pb, and Hg [5,45,46,47], which are on the World Health Organization [48] list of priority substances of environmental and public health concern due to their toxicity, and essential metals, e.g., Cu, Co, Fe, Se, and Zn, which are required for biochemical and physiological processes and are toxic above certain concentrations [49,50]. Recent studies have shown that metal concentrations exceed the permissible threshold in agricultural areas of different countries with different soil types and management practices [47,51,52,53,54,55] in Europe, this occurs on 173 million hectares of agricultural land [51,56]. Such accumulation in the soil leads to the uptake and translocation of metals at different levels of the trophic web in agroecosystems [57,58,59,60], with a negative impact on biodiversity and human health [55,61]. The importance of this framework and the urgency of timely action to monitor and preserve agricultural soils are also reflected in the United Nations Sustainable Development Goals (SDGs), which directly and indirectly address land and soil and call for strong efforts to reduce the impact of agriculture on the environment and communities while providing high-quality, nutritious food for a local and broad consumer base [62]. The new EU Fertilizing Products Regulation (EU) 2019/1009 [10] introduced limits for some elements such as Cd, Cr VI, Hg, Ni, Pb, As, B, Co, Cu, Fe, Mn, Mo, and Zn in organic and inorganic fertilizers. However, for commercial products such as herbicides and insecticides, there is no indication of approved metal contaminants, although the active ingredient and commercial formulations must be approved for distribution, sale, and use [63,64]. Moreover, Regulation (EU) 2019/1009 lacks any references to the use of rare earth elements (REEs) and the permissible limits in both organic and chemical fertilizers. Fertilizers are enriched with REEs to promote seed germination and improve crop growth and production [65,66,67], further increasing concentrations of these elements in soil [68]. Despite the high demand for these substances for various applications, there are still significant gaps in the understanding of their negative effects on human health and biodiversity [67,68,69,70,71,72,73].
Knowledge of the transfer of heavy metals and REEs through trophic networks is limited. Invertebrates, especially insects, play a key role in agroecosystems, providing services such as pollination, pest and weed control, and nutrient recycling [74]. However, these organisms are obviously exposed to chemical treatments in crops that can directly or indirectly interfere with the multiple interspecific relationships they establish within agroecosystem communities [75]. Beetles have proven to be a reliable model in ecotoxicology because they are highly sensitive to environmental perturbations. Furthermore, they are representative of environmental diversity and supply a high degree of standardization [76], such as Tenebrio molitor Linnaeus, 1758 (Coleoptera, Tenebrionidae), a pest of stored grain, used as a model in experimental science, due to its well-characterized ecology and physiology [77,78].
In the present study, we used inductively coupled plasma tandem mass spectrometry (ICP-MS/MS) to determine the concentration of the multielement profile in a metribuzin-based herbicide and an NPK-blended fertilizer commercial formulation. Then, to measure the accumulation of trace elements in the beetles and their biomagnification, newly emerged adults of mealworm beetle T. molitor were exposed in the laboratory to concentrations of these herbicide and fertilizer formulations admitted in the field. Finally, we tested immune parameters, such as the change in the enzyme activities of the plasmatic phenoloxidase (PO) and the total number of circulating hemocytes, body mass, and cuticle darkness as markers of sublethal effects [79]. The markers chosen to monitor the response to exposure in a time window critical for cuticle browning and sexual maturation are involved in vital functions and have been shown to be highly plastic in their regulation [80]. Hemocytes and antimicrobial peptides including PO enzyme cascades are cellular and humoral effectors involved in counteracting pathogens that break the barrier of the cuticle, epidermis, or gut epithelium [78,81]. The melanization of pathogens and cuticle browning in insects both depend on tyrosine metabolic pathways [82,83]. The cuticle is the first line of defense and is involved in several basic functions, including support, protection from dehydration and ultraviolet light, sexual signaling, and mimicry [84,85]. Cuticle characteristics could affect the integrity of these processes [86,87], and thus, directly and indirectly, influence the fitness of individuals. In the mealworm beetle, the darkening process is representative of the degree of sclerotization, cross-linking, and melanization of the cuticular layers [88] and is closely related to pathogen resistance [89,90].
The aim of our study was to investigate the sex-related accumulation and biomagnification rate of heavy metals and REEs following exposure to herbicides and fertilizers in T. molitor to assess the physiological effects over time. We hypothesized that the exposure of non-target insects to trace elements during the highly sensitive transitional phase from newly emerged to sexually mature adults may impair life traits such as sexual maturation, immune response, and detoxification affecting individual fitness. Better understanding elements’ accumulation as a result of chemical treatments in the field could help preserve and restore insect communities, commonly exposed to agrochemical treatments, that are critical to ecosystem functioning and the sustainable management of agricultural systems for successful biodiversity conservation.

2. Materials and Methods

2.1. Animal Rearing

Specimens of T. molitor were obtained from a laboratory stock population housed in the Laboratory of Morphofunctional Entomology, Department of Biology, Ecology and Earth Science (University of Calabria). The beetles were reared at 60% relative humidity with a natural photoperiod and room temperature (23 ± 2 °C). They were fed ad libitum with wheat flour and fruits. They do not require ethical permission to use.

2.2. Herbicide and Fertilizer

Commercial formulations of a metribuzin-based herbicide (Feinzin 70 DS, Adama Bergamo, Italia Co. Ltd., Grassobbio, Italy, a.i. metribuzin 70%; MTB) and a fertilizer (ATB plus Timagreen Timac Agro, Italia Ltd.,(Cremona, Italy) ingredients in percent NPK:10-5-12, CaO-MgO-SO3: 8-2-24, 0.1 B and 7.5 C; TG) were used in this study. The formulations were stored at room temperature in their original packaging. Stock solutions were freshly prepared and diluted with distilled water at room temperature. The recommended field doses of both formulations, indicated for cereal and vegetable crops, were tested as indicated in the data sheets, i.e., 0.25 kg ha−1 of MTB and 4 × 102 kg ha−1 of TG. The wheat bran used for feeding beetles of the control, MTB, and TG groups was purchased from a mill in the province of Catanzaro (Calabria, Italy).

2.3. Experimental Setup and Treatments

Pupae of T. molitor were separated by sex, and the newly emerged adults were housed individually in cups (30 mL in volume) with a perforated lid to allow air exchange and provided with 0.5 g of bran which had been previously UV-sterilized to prevent mold contamination.
The exposure of beetles to herbicide and fertilizer was established in a completely randomized design for males and females by adding 150 µL of the recommended field dose solutions (see Section 2.2) administered on filter paper in the respective groups (MTB: 2.25 × 10−2 mg in distilled water per cup; TG: 36 mg in distilled water per cup; calculated proportionally on a filter paper surface of 9 cm2), while it was soaked with the vehicle only (150 µL of distilled water) in the control group (C). The wet filter paper was the only source of moisture for the insects and was kept moist by adding 150 μm of sterile phosphate-buffered saline (PBS, 10 mM; Sigma-Aldrich, Milan, Italy) to all groups on alternate days. The first set of beetles exposed to MTB (20 males and 20 females), TG (20 males and 20 females), and the control group (C, 40 males and 40 females) was used to evaluate the accumulation of the trace element according to the chemical analysis protocol below. The second experimental group was formed to measure the relationship among treatment exposure, sex, and age in terms of immunological and physiological (body mass, cuticle darkness) markers. Beetles were exposed to each treatment with MTB and TG for a total of 8 days (Figure 1). The duration of the exposure was chosen to follow the progression through the sexual maturation interval. To ensure repeatability, each experiment was performed in duplicate, and beetles were exposed individually as single biological replicates.

2.4. Chemical Analyses

Chemical analyses of beetles from the treated (MTB and TG) and control (C) groups at 2 and 7 days after the initial exposure included a drying step in an oven at 105 °C for 24 h and the microwave-assisted acid digestion of the samples using an Ethos-Up microwave extraction system (MW) (Milestone, Germany). Samples were prepared as described by Naccarato et al. [58], integrating some modifications. Briefly, a mixture of nitric acid and hydrogen peroxide was used to digest each beetle (approximately 40 mg dry weight each), with the latter component of the mixture added to increase the oxidizing power of the acid, to promote the rapid and complete dissolution of samples [91,92]. In the current study, digestion was performed using vessel-inside-vessel technology (Milestone, Germany), where the digestion is performed in smaller secondary vessels that are placed inside the larger traditional vessel. This setup reduces the amount of chemicals used for digestion, resulting in economic and environmental benefits. The small amount of digestion mixture also allows for an improvement in detection limits by lowering the dilution factor. This is particularly useful for the analysis of trace elements in small amounts of matrix. The use of smaller vessels allows the throughput of each MW run to triple, thereby reducing the environmental and economic cost of preparing each sample. The procedure used in our study involved the use of 10 mL of H2O and 1 mL of H2O2 in the larger vessel in which the temperature control was performed, while in the digestion vessels, each insect was mineralized with a mixture composed of 1.5 mL of HNO3 and 0.5 mL of H2O2. The same procedure was used to digest the reference samples of wheat bran that was used to feed beetles during the experiment, which were digested (100 mg each) in the control and treated (TG and MTB) groups.
The concentrations of 47 elements (Li, Be, Na, Mg, Al, K, Ca, Sc, V, Cr, Mn, Fe, Co, Ni, Zn, Ga, As, Se, Rb, Sr, Y, Ag, Cd, In, Cs, Ba, La, Ce, Pr, Nd, Pm, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hg, Tl, Pb, Bi, Th, U) were determined by inductively coupled plasma–mass spectrometry using triple quadrupole technology (ICP-MS/MS, iCAP TQe, Thermo-Fisher) in treated and control insects, wheat bran, herbicide and fertilizer used for the exposure treatments. The triple quadrupole system enhances the already-high sensitivity of ICP systems and reduces the interferences that limit the performance of conventional single analyzer instruments [93,94,95]. The instrument performance was verified according to the manufacturer’s instructions prior to performing the analyses. Compliance with a satisfactory level of accuracy (within ±20%) and precision (CV% < 5%) of the quantitative determination was regularly evaluated by the analysis of procedural blanks spiked with the elements of interest at three concentration levels within the linear dynamic range covered.
Sample digestion was carried out using nitric acid 65%, Suprapur® for trace analysis (Supelco), and hydrogen peroxide 30% Suprapur® for trace analysis (Supelco). Quantitative analysis was carried out using calibration curves built by diluting multielement solutions (Al, As, Ba, Be, Bi, Cd, Ca, Cs, Cr, Co, Cu, Ga, In, Fe, Pb, Li, Mg, Mn, Ni, K, Rb, Se, Ag, Na, Sr, Tl, U, V, Zn (10 mg/L, VWR); Ce, Dy, Er, Eu, Gd, Ho, La, Lu, Nd, Pr, Sc, Sm, Tb, Th, Tm, Y, and Yb (10 mg/L, Perkin Elmer); and single element solution of Hg (1000 mg/L, Merck)). Each batch of analysis was composed of the standards used for calibration, the procedural blanks, and the samples. The investigated elements were for the most part analyzed in kinetic energy discrimination mode (KED-mode) operating in the helium gas collision cell (99.999% grade). In contrast, Sc, V, Cr, As, Se, Sr, Y, Ce, Pr, Nd, Sm, Gd, Tb, Dy, Ho, Er, Tm, and Lu were quantified in triple quadrupole mode (TQ-mode) using oxygen (99.999% grade) as the reaction gas to reduce the effects of isobaric interferences and improve the sensitivity.

2.5. Body Conditions and Cuticular Darkness

The beetles (30 replicates for each experimental condition) were weighed to determine body mass (Ohaus balance, accuracy of 10⁵ g). The measurement was recorded at three different time points in males and females exposed to MTB and TG and in the C group to evaluate the change in body mass during the experiment. Body mass was recorded in newly emerged adults (0 days) before exposure and 5 and 7 days after eclosion, when beetles begin to feed (Figure 1). Relative mass loss was calculated as in [96]. Briefly, the difference between the initial mass and the final mass divided by the initial mass of a given individual was calculated between 0 and 5 days, 5 and 7 days, and the entire experimental period (0 and 7 days).
To track cuticle darkening over the 8 days following eclosion, elytra color was analyzed according to the protocol described by Thompson et al. [97]. Briefly, beetles from each experimental group (MTB, TG, and C; Figure 1; 30 replicates for each experimental condition, separately for males and females) were observed under a stereomicroscope (Zeiss Stemi SV11) and photographed with a camera (Optica C-P8) at 0, 1, 5, and 8 days after eclosion. The difference between the first two time points has been reported in the literature [98] as the most severe variation, while the intermediate points (5 days) were recorded to track the browning until the cuticle reached maximum darkness (day 8). One digital image of each beetle was taken at each time point, under diffuse indirect illumination with a constant-intensity light source. The digitized images were converted to 8-bit files using Image J software, and the degree of cuticular darkness was scored as luminance intensity on a grey scale between 0 and 255 (0 darkest, 255 brightest). The weighted average luminance was measured for each specimen on the beetle elytra in duplicate and expressed as the mean of two technical replicates.

2.6. Hemolymph Sampling, Total Hemocyte Counts, and Phenoloxidase Enzymatic Assay

To assess the effect of exposure on immunocompetence, the hemolymph was collected from the beetles 2 and 7 days after initial exposure to the commercial formulations of MTB and TG. The time points for performing the total hemocyte counts (THCs) and measuring the PO enzymatic activity were chosen according to the age of the beetles, i.e., young (2 days) and sexually mature (7 days), which also corresponded to the days of exposure to the treatments.
Males and females of the treated (MTB and TG) and control groups were punctured ventrally at the pro-mesothorax junction with a 29-gauge needle to collect hemolymph, which was used in the following protocols.
For THCs, 3 μL of hemolymph was collected and diluted 1:4 in cold sterile phosphate buffer (PBS, 10 mM; Sigma-Aldrich, Milan, Italy) at 4 °C, supplemented with 17 mM EDTA (Ethylenediaminetetraacetic acid disodium salt dihydrate, Sigma-Aldrich) to prevent clot formation. Briefly, 10 μL of the PBS–hemolymph solution was loaded into the Bürker chamber (Carlo Erba, Milan, Italy) and hemocytes were counted under a light microscope (LM) at 100× magnification (Zeiss Primo Star). THCs are expressed as the number of cells (mean ± SE (standard error)) per mL of hemolymph.
The enzymatic activity of plasmatic phenoloxidase (PO) was measured spectrophotometrically as dopachrome formation from 3,4-dihydroxy-L-phenylalanine (L-DOPA). In each plate, cell-free hemolymph from different experimental groups was analyzed in parallel to evaluate both activated basal and total (including activating pro-enzyme) PO. Hemolymph (4 μL, 15 individual replicates for each experimental condition) was collected as described above, immediately diluted to 1:15 with ice-cold sterile PBS at 4 °C, and centrifuged at 104 rpm for 5 min at 4 °C. The supernatant (cell-free hemolymph–PBS mixture) was collected and stored at −20 °C. To evaluate total PO, the zymogen was activated by adding 10 μL of LPS (lipopolysaccharides from Escherichia coli O127:B8; Sigma-Aldrich, Milan, Italy) (1 mg mL−1 in cold sterile PBS) to 10 μL of supernatant in the well of a sterilized 96-well microtiter plate and incubated for 5 min at room temperature, as described in (Cavaliere et al., 2019). To measure basal PO, 10 μL of cell-free hemolymph was instead added to each well and mixed with 10 μL PBS (the vehicle used to dilute the LPS activator) 80 μL L-DOPA (3-(3,4-dihydroxyphenyl)-L-alanine; L-3-hydroxytyrosine, Sigma-Aldrich; 3 mg mL−1 in PBS) was added to each well. The blank was loaded with the same volume of PBS in place of the cell-free hemolymph. The change in absorbance was recorded at 492 nm and 25 °C for 60 min at 15 s intervals using a plate reader (Thermo Scientific Multiskan FC). All samples were analyzed in duplicate and expressed as the mean of two technical replicates. Enzyme activity was measured as the slope (absorbance vs. time) of the reaction curve during the linear phase of the reaction (Vmax value, considering 15 min after the start of the reaction). The slope of the reaction curve at the Vmax value was plotted as the absorbance change per minute (ΔA492 min−1) for the samples in each group.

2.7. Statistical Analyses

Statistical analysis of element concentrations in insects was performed according to the different types of exposure (chemicals, time) and/or sex of the specimens using Statistica 7.1 package (Milano, Statsoft Inc.) and IBM SPSS 25. The accumulation of elements from herbicide (MTB) and fertilizer (TG) treatments was statistically analyzed as two separate data sets (C vs. TG; C vs. MTB). Males and females were analyzed as control and treated samples, considering treatment exposure periods of 2 and 7 days, respectively. The normality of the data was examined using the Shapiro–Wilk test. Analysis of variance (ANOVA) with Tukey HSD adjustment for multiple comparisons was used to identify groups with significantly different elemental concentrations (p-value < 0.05). Principal component analysis (PCA) was used to examine the variability among the data and to identify the presence of patterns, while factorial analysis (FA) was used to better explore the presence of latent factors driving differences among the considered samples [99,100,101]. Factors were extracted by principal axis factoring with varimax rotation, and factors with eigenvalues greater than 1 were considered significant. Biomagnification factor (BMF) was estimated under laboratory conditions and calculated as the ratio between the metal concentration in the beetle bodies (μg g−1, dry weight) from the control group and the diet (μg g−1 dry weight of wheat bran) or from treated groups and administered MTB and TG treatments, respectively [57].
R version 3.0.1 software [102] was used to evaluate the statistical significance of immunocompetence markers (THCs, total and basal enzyme activities), body mass, and cuticular darkness. These data did not show a normal distribution and homogeneity of variance (p-value < 0.05) and were compared using a Kruskal–Wallis test followed by pairwise comparisons using the Wilcoxon rank-sum test with Bonferroni correction. On the other hand, because relative mass loss data showed a normal distribution and homogeneity of variance, parametric one-way ANOVA was performed followed by Tukey HSD adjustment for multiple comparisons. Results are presented as mean ± standard error.

3. Results

3.1. Element Concentration in NPK Fertilizer, Metribuzin-Based Herbicide, and Wheat Bran

Different trace elements occurred in the wheat bran, fed to the beetles during the exposure experiments, and in MTB and TG commercial formulations (Table S1). The order of accumulation for elements exceeding 1 µg/g was as follows:
(a) K > Ca > Mg > Na > Fe > Al > Cr > Mn > Sr > Rb > Zn > V > Y > U > La > Ni > Cu > Ba > Ce > Nd > Ga > Cd > Sc > As > Yb in fertilizer, (b) Al > Na > Mg > Fe > K > Ca > Be > Se > Bi > V > In > Ce > Ga > Ba > Zn > Mn > Ni = Cu > Sr > La > Nd > Sc in herbicide, and (c) K > Mg > Zn > Fe > Na > Mn > Ca > Cu > Rb > Al > Ba > Sr in wheat bran.

3.2. Element Accumulation in T. molitor

The concentrations of the elements in the beetles of the groups treated with MTB and TG and the controls are shown in Tables S2 and S3, respectively. Li, Sc, In, and Th were excluded because they were not detected in the tested samples.
The most abundant elements recorded in the beetles of both the control and treated groups were K > Na > Mg > Zn > Fe > Ca > Cu > Mn > Al, while the other identified elements accumulated in different orders that varied with treatment, time, and sex, as shown below (Tables S2 and S3; Figure 2).
In the group exposed to the MTB herbicide, the order of the element accumulation was Sr > Hg > Rb > Ba > Se > Ni > Cd > Cr > Co > V > Ga > Ce > Y > Nd > La > Pm for the females and Hg > Sr > Rb > Ba > Se > Cr > Ni > Cd > Pb > Co > Y > As > Ce > Bi > V in the males after 2 days of the initial exposure, whereas it was Hg > Sr > Rb > Ba > Ni > Se > Cr > Pb > Cd > Co > V > Ga > Ce > Y > La = Nd = Pm in females and Hg > Sr > Rb > Ba > Ni > Se > Co > Pb > As > Ce > La > Pm > = Bi in males at day 7 from the initial exposure (Table S2; Figure 2A).
Analysis of variance showed that Cr was the only element that did not show significant differences (p-value > 0.05) among the sampled groups. In females, significant increases in Na, Mg, K, Ca, and Ga concentrations were recorded in the MTB-treated samples compared to the controls after 2 days, while the concentrations of Mg, Ni, Ga, As and La were lower in the MTB-treated group, and Pb and Rb increased after 7 days of exposure. On the other hand, in males, a significant increase in Eu was recorded at 2 days, but a decrease in Na, K, V, Cd, La, Ce, Ho, Er, Yb, Hg, and U occurred in the MTB-treated group compared to the control one. After 7 days of exposure, the concentrations of V, Ga, As, Ho, Yb, Hg, Bi, and U were lower in the MTB-treated group than in the control one, while the concentrations of Co, Zn, Ba, and Pm were higher in the MTB-treated group than in the control ones. Exposure to the herbicide over time resulted in an increase in Ni, Rb, Ba, and Pb concentrations and a significant decrease in Mg, Ca, Sm, and Gd in MTB-treated females. The concentration of Na, K, Mn, Fe, Co, Ni, Cu, Zn, Rb, Cd, Ba, and Pb was higher in males treated for 7 days than in those treated for 2 days, while the accumulation of Al, Y, Eu, Ho, Tm, Yb, and Tl in the samples decreased with time. Gender-related differences in element accumulation were observed at both time points. In general, females accumulated higher levels of Mg, K, Sr, Se, Ga, Nd, and V than males, while Cu, Co, Zn, Cd, As, Sr, Hg, and U accumulated higher levels in males than females. Although the concentrations of Na, Ca, Mn, Fe, Ba, Pm, Sm, and Gd were higher in females than in males after 2 days of exposure, while Tm, Yb, Tl, and Bi were higher in males, no differences were found between males and females for these elements after 7 days of treatment (Table S2).
In beetles exposed to the TG fertilizer, 2 days after the initial exposure (Table S3; Figure 2B), the order of metal accumulation was as follows:
(a) Sr > Rb > Ba > Hg > Se > Ni > Y > Cd > U > V > Co > Ce > As > La > Pm > Cr > Nd > Ga > Gd > Yb > Sm > Er > Cs in females, and (b) Sr > Hg > Rb > Cr > Ba > Se > Cd > Ni > Co > Y > U > V > Pb > As > Ce > La > Pm > Nd > Be > Ag > Ga=Pr in males. Seven days after the initial exposure, the ranking of element accumulation was Sr > Hg > Cr > Rb > Ba > Ni > V > U > Y > Se > Cd > Ce > La > Pm > Nd > Co > Ga > Pb > Gd > Dy > Sm = Ho > Yb in females and Sr > Cr > Rb > Hg > Ba > Ni > V > U > Se > Y > Cd > Ce > La > Pm > As > Co > Nd > Ga > Pb > Ag > Dy > Gd > Yb > Sm > Er > Ce > Ho > Tb > Eu in males. Analysis of variance showed significant differences in the accumulation of elements among all the tested groups (p < 0.05). In females, a significant accumulation of some elements was observed in the TG-treated group compared to the control one for Na, Be, Mg, K, Mn, Co, Ga, As, Rb, Tb, Lu, and Tl after 2 days and for Al, Ca, V, Cr, Ga, As, Y, Cd, La, Ce, Pr, Nd, Pm, Sm, Gd, Dy, Ho, Er, Hg, and U 7 days after the initial exposure. In males, the accumulated elements were Be, Mg, Ca, Co, Cu, Se, Rb, Ag, In, Hg, Pb, Bi, and Th at 2d, while Al, Ca, V, Cr, Mn, Co, Ga, As, Y, Ag, Cd, In, Cs, Ba, La, Ce, Pr, Nd, Pm, Sm, Eu, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hg, Tl, Bi, and U increased 7 days after the initial exposure compared to the control group.
The levels of Al, V, Cr, Fe, Zn, Ga, As, Y, Cd, La, Ce, Pr, Nd, Pm, Sm, Gd, Dy, Ho, Er, Hg, Pb, and U increased significantly over time in the treated females, while Na, Mg, and Be decreased. In males, TG fertilizer exposure caused a significant accumulation of Al, Be, V, Cr, Fe, Ga, As, Y, Ag, In, Cs, Ba, La, Ce, Pr, Nd, Pm, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Tl, Pb, Th, and U.
Differences in element accumulation were observed between the sexes. Two days after the initial exposure, the concentration of Mg, Mn, Rb, and Sr was higher in females than in males, while males accumulated Be, Co, Zn, In, and Pb. At 7 days after the first exposure, males accumulated more Na, K, Co, Ga, Cs, La, Eu, Tb, Tm, Yb, Lu, and Tl than females, while females accumulated more Al and Hg than males (Table S3).
The datasets of element concentrations in beetles were explored by a principal component analysis (PCA) to detect the presence of patterns among samples from exposure tests in an unsupervised mode. The MTB-treated samples and corresponding control ones showed a clustering on PC1 according to their sex (Figure 3A,B) (i.e., males and females had negative and positive scores on the first principal component PC1, respectively). The elements with the most positive loadings (>0.7) on PC1 were, in decreasing order, K, Ga, Mg, Nd, V, and Se; they predominantly characterized the female specimens. On the other hand, As, Cu, and Zn were the elements with markedly negative loading values (<−0.7) on PC1 that characterized males (Figure 3A,B). The metals leading PC2 can be influenced by the exposure time. Indeed, no separate patterns over time were found in the treated and control groups, for both males and females. On the contrary, separation by age was observed in males, evident as a clustering of specimens between 2-day (young)- and 7-day (sexually mature)-exposed beetles (Figure 3), unrelated to treatment.
PC1 explained 41.27% of the variation of samples exposed to NPK fertilizer as a function of treatment time and was mainly driven by Al, V, Cr, U, and REEs (Figure 4A,B). With increasing fertilizer exposure, the samples tended to shift to increasingly positive values for PC1, highlighting the difference between the treated samples. The metals driving PC2 may be influenced by sex. Indeed, the male samples had negative values, and the female samples had positive values.
A study of latent factors carried out by principal axis factoring with varimax rotation on the dataset of MTB-treated samples allowed the extraction of 10 factors explaining a cumulative variance of 72.9%. The elements with higher loadings (>0.5) on the first factor were Pm, Nd, Sm, Pr, Gd, V, Al, Ce, and La (Table S4). The same investigation performed for the dataset of TG-treated samples resulted in the extraction of eight factors with a cumulative variance of 72.2% (Table S5). In this case, the elements that loaded together were Nd, Al, Ce, Gd, Dy, Y, V, Ho, Sm, Cr, U, Pm, Er, As, La, Hg, Ga, and Pr. Again, the first factor is characterized by elements belonging to both light and heavy REEs. In addition, these are Al and V, as already observed in MTB herbicide treatment, and toxic elements such as Hg, U, As, and Cr.

3.3. Biomagnification Factor

Adults of T. molitor had significant concentrated amounts of Cu and Zn, regardless of the treatment (Table 1). The biomagnification of Na, Cu, Zn, Se, and Cd was observed over time in both sexes for the control group. Moreover, a dimorphism was observed in the BMF values of Cr (higher in females), and Bi and U (higher in males). The ingestion of TG induced the biomagnification of Cu and Zn, while exposure to MTB leads to the biomagnification of K, Mn, Cu, and Zn.

3.4. Body Conditions

In the first 5 days after eclosion, positive relative mass loss was recorded in all experimental groups, indicating a slight reduction in body mass of about 3%. However, a recovery occurred 7 days after the eclosion, with a negative relative mass loss, although the gain was less than 1% of body mass. When comparing values over the entire treatment period from 0 to 7 days, no significant differences in the relative mass loss were found between males and females (p > 0.05, Figure 5A). However, when considering the interval from 0 to 5 days post-eclosion (Figure 5B), a trend was observed between males and females in the control group (p = 0.06), suggesting a possible influence of sex on the loss of body mass during maturation, with the loss being greater in females (3.08 ± 0.60%) than in males (0.41 ± 0.72%). On the contrary, males (MTB: 2.19 ± 0.54%; TG: 3.15 ± 0.69%) showed a comparable mass loss to females (MTB: 2.79 ± 0.69%; TG: 3.95 ± 0.75%) within 5 days after the eclosion of treated beetles. A trend was also observed between control and TG-exposed males (p = 0.05), showing a greater loss in the TG group. There was also a significant difference between females in the TG group and control males (p < 0.05). No significant differences were found between the control, TG, and MTB-treated groups when assessing relative mass loss between 5 and 7 days after eclosion (p > 0.05, Figure 5C).

3.5. Total Hemocyte Counts

Hemocyte density was found to be dependent on the age of the beetle (Figure 6). Indeed, an increase in circulating hemocytes was recorded 7 days after eclosion (males: (15.14 ± 3.74) × 106 cells mL−1; females: (20.63 ± 4.71) × 106 cells mL−1) compared to THC in 2-day-old beetles (males: (5.71 ± 1.13) × 106 cells mL−1; females: (7.77 ± 1.35) × 106 cells mL−1) in the control group. Although 7-day-old females and males showed an approximately threefold increase in THC over time, the change was not statistically significant (p > 0.05), indicating a greater individual availability of circulating cells in the hemocoel in both males and females after 7 days. The same trend was observed in beetles from the TG-treated group. Although circulating hemocytes increased in 7-day-old specimens (males: (19.86 ± 3.52) × 106 cells mL−1; females: (22.22 ± 4.56) × 106 cells mL−1), there was no statistically significant difference with the corresponding younger groups (2-day-old p > 0. 05; males: (5.57 ± 1.10) × 106 cells mL−1; females: (6.00 ± 1.15) × 106 cells mL−1), although a trend (p = 0.06) was reported comparing TG-treated females at 2 days with those at 7 days. In addition, TG-treated males showed a significant change at 7 days after eclosion compared with young (2 days) males from the control group (p < 0.05), indicating a greater increase over time in males from the TG-treated group. In the male group exposed to MTB, the increase in THC was greater after 7 days ((20.10 ± 1.96) × 106 cells mL−1), showing a statistically significant change (p < 0.05) compared with the 2-day-old beetles (Figure 6, MTB; (8.17 ± 2.21) × 106 cells mL−1). The cell density of MTB-treated males at 7 days was also significantly higher (p < 0.05) than the values found in all groups of young males and females of the control and the TG- and MTB-treated groups. The MTB-treated females did not follow the same behavior as the other groups; rather, the circulating cells remained stable over time (p = 1; 2d: (7.29 ± 1.29) × 106 cells mL−1; 7d: (9.76 ± 2.35) × 106 cells mL−1), showing the lowest density of circulating hemocytes after 7 days. No significant gender differences in THC were found in any of the groups tested (p > 0.05).

3.6. Plasmatic Phenoloxidase Enzyme Activity

Analysis of plasmatic PO enzyme activity in the control group showed no statistically significant difference in relation to sex and age for both basal and total enzyme activity (p > 0.05) (Figure 7A,B). However, a slight increase in total PO activity was observed in 7-day-old males (Figure 7B), while total plasma PO enzyme levels were lower and more stable in females than in males at both time points (Figure 7A). This slight variation was evident only in activated zymogen activity and not in basal plasma phenoloxidase activity. No differences were found between basal and total phenoloxidase in either sex (p > 0.05), although total PO enzyme activity was higher than basal in males.
In the MTB- and TG-treated groups, no significant differences (p > 0.05) were found when comparing basal and total PO enzyme activity with control group values in both males and females. However, although not statistically significant (p > 0.05), the treatments reduced the plasmatic total PO enzymatic activity levels in both MTB- and TG-treated males compared to the young beetles in each group after 2 days. Furthermore, MTB- and TG-treated groups showed an inverse response to the 7-day control group, where the stability of total PO enzymatic activity was observed over time. A significant difference (p < 0.05) was observed between total and basal PO enzymatic activity in TG-treated males 2 days after eclosion, but not in MTB-treated males, although basal PO enzymatic activity was lower than total PO enzymatic activity. The same trend is not evident in females, as they showed lower levels of total PO enzyme activity comparable to basal PO activity.

3.7. Cuticular Darkness

A clear time-dependent relationship was found for cuticular darkness, resulting in a decrease in luminance intensity over time proportional to cuticular darkening. In all experimental groups, regardless of sex (Figure 8A,B), there was a significant change (p < 0.001) at the transition from day 0 to day 1, showing a rapid change in elytra. The decrease 5 days after eclosion was not statistically significant in the control group and TG-treated beetles, in both females (Figure 8A) and males (Figure 8B), and in MTB-treated females (p > 0.05), whereas a statistically significant reduction in luminance was recorded in MTB-treated males 5 days after eclosion (p < 0.01; Figure 8B) compared with the value recorded on day 1. The variation between the luminance recorded on day 5 and day 8 was statistically significant in the control and TG-treated beetles, both males (p < 0.001) and females (p < 0.001), and in MTB-treated females (p < 0.05), while no statistically significant differences were found in MTB-treated males (p > 0.05). This suggests that darkening reached a plateau earlier than in the other groups, as confirmed by the absence of significant differences (p > 0.05) between the values recorded at 5 days in the control males and those of MTB at 8 days after eclosion (Figure 8B).

4. Discussion

4.1. Trace Elements in Metribuzin-Based Herbicide and NPK Fertilizer

Our results show that trace elements are present in a tested metribuzin-based herbicide and NPK fertilizer, as reported for other commercial formulations in previous studies [30,31,45]. Non-essential heavy metals, such as Cd, Pb, Cr, and Al, and essential Cu, Fe, Mn, Co, Zn, and Ni were found in both the herbicide and NPK blends. The concentrations of Ni, Pb, As, and Cd and the relative percentages of Mn (0.1–0.5%), Fe (0.5–2%), Co (0.1–0.02%), Cu, and Zn (0.1–0.5%) were within the values allowed by the EU regulation for fertilizers, while Cr was the only element to exceed the limit of the tolerated concentrations (2 µg g−1) [10]. However, the concentrations of Al, Ba, Be, Cr, Co, In, Fe, Li, Ni, Se, Ag, Sr, Tl, V, and Zn were above the limits based on human toxicity data provided by national and international agencies [31]. For the metribuzin-based herbicide, the high Al content may have been included in the formulation by the manufacturers as an excipient to allow the penetration of the active ingredient into the target plant tissue and to increase its toxicity, because it acts as a root growth inhibitor [103]. Although the environmental risk may be negligible due to the concentration of most elements per kg, the repeated application of herbicides and fertilizers over an extended period of time per hectare in conventionally or integrated cropped areas results in a pervasive, emerging problem of trace element accumulation in agricultural soils [45,104,105]. As a result, when concentrations exceed physiologically tolerable limits, adverse effects on the functional diversity of the soil ecosystem occur. For example, heavy metal residues cause side effects on microbial communities involved in biogeochemical cycling [106], interfere with plant metabolic processes, reducing their growth and germination [107], and accumulate in vegetables [108], posing a potential risk to human health [55,109]. Furthermore, 15 REEs were present in the tested commercial formulations, with Y, La, and Ce being the most abundant in the NPK blends, suggesting that not only fertilizers [67] but also herbicides contribute to the accumulation of REEs in soils of agricultural areas worldwide.

4.2. Accumulation and Biomagnification of Trace Elements in Males and Females of T. molitor

The field concentrations tested in our study result in the accumulation of essential, nonessential, and REEs in T. molitor, confirming the hypothesis of potential exposure risk from ingestion by species inhabiting the soil of croplands and consequent accumulation and transfer of elements in the trophic web, as noted in our previous study [58]. Unsupervised chemometric analysis revealed that the data were structured into patterns that corresponded to different groups of insects based on their gender and the duration of treatment exposure. FA also demonstrated how the variability in most of the trace elements could be attributed to the first latent variable, which can be associated with the treatment given to the exposed insects (Tables S4 and S5). The accumulation pattern of trace elements in insects depends on age, sex, physiological status, life stage, and trophic level, as well as the concentration of an element in the diet or environment [110,111,112,113]. Although we used beetles of the same age to show variation in the accumulation of elements over time in both females and males according to treatment, high standard deviation values were observed for several elements, and the differences in accumulation patterns in both treated groups indicated a large variability in individual intake by ingestion during the exposure period. In general, our results showed that Na, Mg, K, Ca, Cu, Mn, Fe, and Zn were the essential elements that accumulated most in T. molitor females and males during the exposure period. The homeostatic regulation of trace element concentrations in insects depends on the ability to balance absorption and excretion rates and detoxification mechanisms. Although there is wide variability among insect species, excess elements are mainly sequestered by metal-binding proteins (e.g., metallothioneins) [114] or by incorporation into inorganic crystalline concretions [92,115] in the epithelium of the midgut and Malpighian tubules [116,117,118,119] or excreted [120,121] with a reduction in their toxic effects. Metals acquired through the oral ingestion of contaminated food accumulate with increasing concentrations from the intestine to the Malpighian tubules, as has been demonstrated in the soil-dwelling beetle Pterostichus oblongopunctatus [122]. The metabolic patterns and metallothioneins involved in the regulation of the homeostasis of essential (Fe, Zn, and Cu) and nonessential metals (Ni, Hg, Pb, and Cd) have been studied in Drosophila melanogaster [123]. Metals such as Cd, Pb, and Zn are sequestered in various tissues such as the gut including Malpighian tubules, fat body, hemolymph, muscle, and exoskeleton, as described in larvae of T. molitor [124,125] and the gypsy moth Limandria dispar [126]. The elements accumulated in the cuticle are released during molting and metamorphosis, while the residues remain trapped in the muscles and fat bodies after eclosion, as found in mealworm beetles [127] and lepidopterans [128]. Therefore, we assume that the concentrations of some elements found in the 2-day-old control samples are residues resulting from accumulation in the larval stage. From an ecological perspective, this suggests that both laboratory and field studies of metal bioaccumulation in holometabolous insects from agricultural soils require analyses that include the larval and pupal stages to evaluate element transfer during developmental stages, as observed in the red mason bee [129].
Gender-related differences occurred in the uptake and accumulation of nonessential elements and REEs in T. molitor, and the accumulation pattern depended on their concentration in the herbicide and fertilizer administered. In the group exposed to NPK fertilizer, concentrations of elements such as Ag, Cs, Eu, Yb, Lu, Tl, and Pb accumulated mainly in males, while Al, V, Cr, As, Se, Ni, Hg, U, and REEs (Ga, Y, La, Ce, Pr, Nd, Pm, Sm, Gd, Dy, Ho, Er) increased with the exposure time from immature to mature adults but did not depend on sex. Exposure to the metribuzin-based herbicide resulted in a different accumulation pattern from the group exposed to the NPK fertilizer. We found that females treated with MTB-based herbicide accumulated higher concentrations of essential elements (Na, Mg, K, Ca) than males, while the nonessential elements and REEs showed higher accumulation in 7-day-old mature males (i.e., Cu, Pb, Hg, Cd) and females (i.e., Cr, Si, Ga, Ni) than in 2-day-old immature subjects. Moreover, differences between sexes have been described in grasshoppers [130], Drosophila melanogaster [131], and lepidopteran Spodoptera litura [128] exposed to heavy metals, mainly affecting the activity of detoxifying metabolic enzymes. Differences in metal concentration patterns may reflect a sexual dimorphism in dietary requirements, which can result in sex-specific nutritional limitations and have ecological consequences in wild species exposed in the field. Therefore, further studies are required to examine toxicokinetic effects and physiological changes in females and males as a result of exposure to contaminants. In addition, given the toxic effects of metribuzin on non-target animals [35], it remains an open question whether the metribuzin-based commercial formulation impairs the ability of the biological compartment to sequester or release trace elements.
In the ecological risk assessment of exposure to trace elements, biomagnification shows that a specific element is accumulated above a certain threshold, resulting in increased bioavailability at a higher level of the food web. Exposure to the metribuzin-based herbicide increased the concentration and bioavailability of Cu (by 7- to 16-fold), Se (by 2- to 3-fold), Zn (about 30- to 60-fold), and Cd (about 3.5- to 10-fold) compared to the control group, indicating a higher potential for food chain transfer. This could be the result of a combination of conditions, such as the interaction between elements, the loss of the ability to remove and store elements, and/or the interference of the herbicide’s active ingredient with cell membrane transport systems. The biomagnification of these elements has also been noted in other invertebrates inhabiting soil in agricultural areas and feeding on organic matter, such as Diplopoda, Isopoda, and Collembola [59], or in secondary consumers such as carabid beetles [132]. This suggests that herbicides may act at the level of decomposers and predators by causing increased bioaccumulation of metal, which affects insect detoxification systems and has various sublethal effects on development, reproduction, pathogen response, and survival [61,92,133,134].
Although the mealworm beetle is known as a pest of stored food, it is also one of the most popular edible insects used as an alternative food and feed source [135,136,137] and has recently been approved for human consumption as a potentially suitable commission implement protein source [138,139]. The level of elements in the bran used to feed beetles in our study was extremely low and heavy metals were within the admitted limits (WHO/FAO, 2019). However, adults of T. molitor can concentrate nonessential elements such as Cr, Cd, Bi, and U over time, in addition to essential elements (Cu, Zn, Se). Thus, our results have highlighted a new concern related to the ability to accumulate and biomagnificate contaminants in this species derived from food sources such as wheat flour or vegetables used in livestock farming [140,141,142] and produced in conventionally managed crops with pesticides and fertilizers.
The exposure of males and females to the NPK fertilizer resulted in a significant accumulation of REEs, but there is little information on the biological role of these elements in animal systems [143]. Lanthanum replaces calcium in cellular transport channels by interfering with metabolism due to its chemical and physical properties [144]. In vertebrates, La, Ce, and Nd induced oxidative damage that accumulates in hepatocyte nuclei and mitochondria [145] as well as histopathological changes in the liver, lungs, and blood cells [146]. La has dose-related toxic effects on the survival and reproduction of soil invertebrates such as isopods, oribatid mites, and earthworms exposed to contaminated soils [71]. Moreover, the low biomagnification levels indicate a low potential for La to be transferred to the food web, as indicated by our laboratory results. However, monitoring studies have shown that the availability of REEs under field conditions has dose-dependent effects on soil macrofauna that promote or reduce community diversity [72] and pose risks to human health [147].

4.3. Exposure Effects on Physiological Parameters

Phenotypic traits such as cuticle melanization, immunological parameters, and mass loss are closely related to sex, nutritional levels, and aging in insects and are very plastic in overcoming environmental variability due to multiple biotic and abiotic factors [148,149], as have been studied in T. molitor [78] and other insect species [150].
Cuticle melanization is correlated with the levels of the amino acid tyrosine [149], and the same is true for immune factors such as phenoloxidase [148]. Thus, resource limitations and the resulting competition for use between different physiological processes can lead to trade-offs that cause phenotypic variation in cuticular color [151]. In T. molitor, cuticular melanization ceases to change after imaginal eclosion in the first week, independent of the final level of cuticular color, and the end of this period is coupled with sexual maturity [97]. Moreover, cuticle melanization is an indicator of investment in immunocompetence, affecting hemocyte density and phenoloxidase activity, both of which are higher in dark than in tan beetles [89,90]. In our study, the newly emerged beetles were fed ad libitum to ensure the constant availability of food, and we observed a rapid variation of the cuticle color over time in both males and females of the control group, in accordance with the literature [97]. Nevertheless, when monitoring the 5-day interval after eclosion, a greater mass loss was observed in the females. This could suggest a sex-dependent difference in resource allocation and metabolism, which undergoes profound changes during the transition from the immature to the mature stage. However, the sexual dimorphism observed in the control group in terms of body mass loss disappears in the specimens from the MTB- and TG-treated groups, suggesting that exposure interferes with metabolic processes and nutritional requirements affecting parameters such as cuticular darkness, phenoloxidase activity, and hemocyte density. Indeed, males exposed to the metribuzin-based herbicide were observed to darken more rapidly in the first 5 days after eclosion, suggesting premature browning and thus an early arrest of the process. However, this had no influence on the degree of melanization, which was reached 8 days after eclosion and for which no differences to the control group were found.
Sex differences in insect immunocompetence depend upon the trade-off resource allocation between reproduction and immune response [152]. We assume that the increase in circulating hemocytes observed at the transition to the sexually mature stage in both females and males of the control group protects against pathogens that might attack the organism at a stage when the cuticle is not yet fully melanized. However, exposure to the MTB-based herbicide resulted in a different response between the males, which increased circulating hemocytes, and the females, which kept them constant over time, suggesting a possible phlogistic effect. Although total PO enzyme activity was higher in young males than in females of the mealworm beetle, sexual dimorphism seemed to disappear in the MTB- and TG-treated groups as enzyme activity decreased over time. The effects of herbicides on insect immunity are an emerging concern for species involved in ecosystem services [23,153] causing side effects including the activation of pro-inflammatory and anti-inflammatory responses [154]. As metribuzin has been shown to affect immunological parameters in vertebrates, we assume that it caused an inflammatory state of the internal organs in T. molitor and reduced the density of hemocytes in favor of the recruitment of circulating cells, as observed in Drosophila [81,155]. In general, the onset of an inflammatory status is associated with increased oxidative stress [156], which impairs fertility and fitness. In the flour beetle, females can assess the immunocompetence of males based on pheromone signals and rely on this information for mate choice [157]. Similarly, females can discriminate males suffering from oxidative stress, as demonstrated in T. molitor males exposed to the herbicide paraquat [158]. The disruption of sexual selection was also observed in beetles exposed to atrazine, a herbicide of the triazine class [159]. Further studies should investigate which of the previously described cell populations [160] show an increase/decrease and whether a change in oxidative stress levels occurs over time in insects exposed to the field rate of herbicides and fertilizers to support our hypothesis.
Exposure to high concentrations of elements and the active ingredient of the herbicide not only impairs metabolic pathways for the removal and storage of contaminants but can also have effects on essential insect life traits, such as immunity, reproduction, and life span, by causing a physiological shift in energy allocation to maintain homeostasis [60]. The levels of circulating hemocytes and PO enzyme activity are generally very sensitive biological parameters for metal concentrations [161]. Essential and nonessential elements play dual roles in reproduction and immunity in insects [162,163]. For example, the exposure of grasshoppers to a high concentration of Zn (100–1000 µg g−1) during diapause causes a high frequency of apoptosis and necrosis in adult tissues and the aging of females evident in eggs laid, and also affects the duration of embryogenesis [164]. On the other hand, Zn increases phagocytosis and affects the activation and death of circulating hemocytes in Musca domestica and D. melanogaster [165]. Our results on Cu bioaccumulation in males upon exposure to the metribuzin-based herbicide could explain the large number of circulating cells at 7 days after eclosion. The response could implicate immunostimulation by Cu, as previously observed in insects [166] mollusks, and crustaceans [167,168]. Moreover, Cu is involved in PO activation through Cu-dependent tyrosinase activity [169]. However, a high concentration of this essential element resulted, upon the herbicide glyphosate exposure, in reduced PO activity and an altered melanization in Galleria mellonella and Anopheles gambiae [170].

5. Conclusions

This study highlights that metribuzin-based herbicide and a commercial NPK fertilizer formulation at concentrations commonly admitted in the field contain trace elements, including those nonessential to biological systems and REEs. Exposure experiments with T. molitor, simulating direct intake by ingestion, showed the resultant bioaccumulation of these elements with patterns varying by treatments. The application of an NPK blend fertilizer is the most consistent cause of REE accumulation over time, in addition to toxic elements (e.g., Sr, Hg, Cr, Rb, Ba, Ni, Al, V, U) that are also present in herbicide-treated beetles. Therefore, oral exposure can be expected to be the first route of metal uptake in insects inhabiting soil in agricultural areas where commercial formulations of fertilizers and herbicides are continuously applied, introducing trace elements into the soil. Moreover, the biomagnification factors for Cu, Zn, K, and Mn, as well as accumulation levels for other identified elements in T. molitor, suggest a high potential for transfer through the food web from species that feed on organic matter to predators in the agroecosystems. However, the accumulation of REEs is an emerging concern, and further studies are required to define their effect on animal biological systems, helping to define permissible regulatory limits in commercial formulations that do not harm organisms.
Sex-specific differences in element concentrations suggest that males and females are characterized by different uptakes, allocations, and excretions of elements, which ultimately indicates that each sex has specific demands for nutrients even in the period leading up to the reproductive phase. Although species-specific differences can occur, such information is crucial for predicting specific responses of wild insect species to realistic metal concentrations in the soil of croplands treated with agrochemicals such as herbicides and fertilizers. Therefore, further studies may clarify the differences between sexes in allocating their energetic resources to detoxification pathways in the polluted environment and how this may affect other energetic costly life traits such as reproduction and immunity.
The novelty in our study lies in measuring the physiological effects of exposure to the tested agrochemicals during the highly sensitive transition phase from newly emerged to sexually mature adults. Exposure to trace elements interferes with parameters such as melanization, cellular and humoral immune responses, and mass loss. This may indicate a disturbance of the metabolic pathways involving sequestration and detoxification in the maturation stages triggering a resource reallocation between sexual maturation and immune responses. Some elements of those identified are known to interfere with biological functions such as immune response. Higher Cu levels in males exposed to the metribuzin-based herbicide displayed an increase in circulating hemocytes. As a result, altered immune functions may have further implications on fitness.
The results obtained in this research lead us to consider that when assessing the risks of exposure to agrochemicals on wild species in the field, it must be considered that herbicides have trace elements in commercial formulations that, coupled with the active ingredient action, can interfere with non-target biological systems. Fertilizers also have harmful effects on soil organisms due to the accumulation of elements they bring to the soil, including essential elements if they exceed threshold values. Furthermore, physiological responses to agrochemicals and trace elements are conditioned by the age of organisms because of the allocation of time-varying resources to meet the challenge of survival while preserving reproductive fitness. All in all, soil testing and applying controlled-release fertilizers and mechanical weed control are two better practices suggested to preserve the biodiversity of wild insect species in the agroecosystem.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics11060499/s1, Table S1: Mean concentrations and standard deviations of the investigated elements in wheat bran used to feed the beetles, metribuzin-based herbicide (Feinzin), and NPK fertilizer (Timagreen). Except where otherwise indicated (*), concentrations are expressed in µg/g. n.d.: not detected; Table S2: Elements accumulated in adults of Tenebrio molitor treated with the metribuzin-based commercial formulation. Mean concentrations and standard deviation of the analyzed elements for each group of beetles (20 samples for each group, results on a dry-weight basis). N.d.: not detected. (FC, female control; FT, female treated; MC, male control; MT, male treated; 2d, two days; 7d, seven days). n.d.: not detected; Table S3: Elements accumulated in adults of Tenebrio molitor treated with NPK fertilizer. Mean concentrations and standard deviation of the analyzed elements for each group of beetles (20 samples for each group, results on a dry-weight basis). N.d.: not detected. (FC: female control; FT: female treated; MC: male control; MT: male treated; 2d: two days; 7d: seven days). n.d.: not detected; Table S4: Principal axis factoring for metribuzin-based-herbicide-treated adults of Tenebrio molitor, matrix with factor loadings. Loadings below 0.5 were not considered to improve the understanding of the data structure; Table S5: Principal axis factoring for NPK-fertilizer-treated adults of Tenebrio molitor, matrix with factor loadings. Loadings below 0.5 were not considered to improve the understanding of the data structure.

Author Contributions

Conceptualization, A.G., A.N. and M.L.V.; methodology, A.N., M.L.V. and A.G.; validation, A.G., A.N. and M.L.V.; formal analysis, D.A. and M.L.V.; investigation, A.N. and M.L.V.; resources, F.S., N.P. and A.G.; writing—original draft preparation, A.G., A.N. and M.L.V.; writing—review and editing, A.G., A.N., A.T. and M.L.V.; validation and visualization, A.G., A.N. and M.L.V.; supervision, A.G. and AN; project administration, A.G.; funding acquisition, A.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Ministry of University and Research (MIUR) (grant n° UA.00.2014.EX60).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

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

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Malingreau, J.-P.; Eva, H.; Maggio, A. NPK: Will There Be Enough Plant Nutrients to Feed a World of 9 Billion in 2050; JRC: Tokyo, Japan, 2012; ISBN 9789279249105. [Google Scholar] [CrossRef]
  2. Food and Agriculture Organization of United Nations. FAO World Fertilizer Trends and Outlook to 2020: Summary Report; Food and Agriculture Organization of United Nations: Rome, Italy, 2017; p. 38. [Google Scholar]
  3. Randive, K.; Raut, T.; Jawadand, S. An overview of the global fertilizer trends and India’s position in 2020. Miner. Econ. 2021, 34, 371–384. [Google Scholar] [CrossRef]
  4. EFMA European Fertilizer Manufacturers Association, EFMA. Available online: https://www.fertilizerseurope.com (accessed on 21 March 2023).
  5. Nziguheba, G.; Smolders, E. Inputs of trace elements in agricultural soils via phosphate fertilizers in european countries. Sci. Total Environ. 2008, 390, 53–57. [Google Scholar] [CrossRef]
  6. Gupta, D.K.; Chatterjee, S.; Datta, S.; Veer, V.; Walther, C. Role of phosphate fertilizers in heavy metal uptake and detoxification of toxic metals. Chemosphere 2014, 108, 134–144. [Google Scholar] [CrossRef]
  7. Mortvedt, J.J. Heavy metal contaminants in inorganic and organic fertilizers. In Fertilizer Research; Springer: Berlin/Heidelberg, Germany, 1995; Volume 43, pp. 55–61. [Google Scholar]
  8. Ashitha, A.; Rakhimol, K.R.; Jyothis, M. Fate of the conventional fertilizers in environment. In Controlled Release Fertilizers for Sustainable Agriculture; Elsevier: Amsterdam, The Netherlands, 2021; pp. 25–39. [Google Scholar]
  9. Savci, S. Investigation of effect of chemical fertilizers on environment. APCBEE Procedia 2012, 1, 287–292. [Google Scholar] [CrossRef]
  10. European Commission Regulation (EU). 2019/1009 of the European Parliament and of the Council of 5 June 2019 Laying down rules on the making available on the market of EU fertilising products and amending regulations (EC) No 1069/2009 and (EC) No 1107/2009 and Repealing Regulation (EC) No 2003/2003. J. Eur. Union 2019, 170, 1–114. [Google Scholar]
  11. Monaco, T.J.; Weller, S.C.; Ashton, F.M. Weed Science: Principles and Practices; John Wiley & Sons: Hoboken, NJ, USA, 2002; ISBN 0471370517. [Google Scholar]
  12. De, A.; Bose, R.; Kumar, A.; Mozumdar, S. Worldwide pesticide use. In Targeted Delivery of Pesticides Using Biodegradable Polymeric Nanoparticles; Springer: Berlin/Heidelberg, Germany, 2014; pp. 5–6. [Google Scholar]
  13. Sharma, A.; Kumar, V.; Shahzad, B.; Tanveer, M.; Sidhu, G.P.S.; Handa, N.; Kohli, S.K.; Yadav, P.; Bali, A.S.; Parihar, R.D.; et al. Worldwide pesticide usage and its impacts on ecosystem. SN Appl. Sci. 2019, 1, 1446. [Google Scholar] [CrossRef]
  14. Korenko, S.; Niedobová, J.; Kolářová, M.; Hamouzová, K.; Kysilková, K.; Michalko, R. The Effect of Eight Common herbicides on the predatory activity of the agrobiont spider Pardosa agrestis. BioControl 2016, 61, 507–517. [Google Scholar] [CrossRef]
  15. Sharma, A.; Jha, P.; Reddy, G.V.P. Multidimensional relationships of herbicides with insect-crop food webs. Sci. Total Environ. 2018, 643, 1522–1532. [Google Scholar] [CrossRef]
  16. Giglio, A.; Vommaro, M.L. Dinitroaniline Herbicides: A comprehensive review of toxicity and side effects on animal non-target organisms. Environ. Sci. Pollut. Res. 2022, 29, 76687–76711. [Google Scholar] [CrossRef]
  17. Gill, H.K.; Garg, H. Pesticides: Environmental impacts and management strategies. In Pesticides—Toxic Aspects; Larramendy, M.L., Soloneski, S., Eds.; InTech: Rijeka, Croatia, 2014. [Google Scholar]
  18. Giglio, A.; Cavaliere, F.; Giulianini, P.G.; Mazzei, A.; Talarico, F.; Vommaro, M.L.; Brandmayr, P. Impact of agrochemicals on non-target species: Calathus fuscipes Goeze 1777 (Coleoptera: Carabidae) as model. Ecotoxicol. Environ. Saf. 2017, 142, 522–529. [Google Scholar] [CrossRef]
  19. Rose, M.T.; Cavagnaro, T.R.; Scanlan, C.A.; Rose, T.J.; Vancov, T.; Kimber, S.; Kennedy, I.R.; Kookana, R.S.; Van Zwieten, L. Impact of herbicides on soil biology and function. In Advances in Agronomy; Elsevier: Amsterdam, The Netherlands, 2016; Volume 136, pp. 133–220. ISBN 0065-2113. [Google Scholar]
  20. Prosser, R.S.; Anderson, J.C.; Hanson, M.L.; Solomon, K.R.; Sibley, P.K. Indirect effects of herbicides on biota in terrestrial edge-of-field habitats: A critical review of the literature. Agri. Ecosyst. Environ. 2016, 232, 59–72. [Google Scholar] [CrossRef]
  21. Vonk, J.A.; Kraak, M.H.S. Herbicide exposure and toxicity to aquatic primary producers. Rev. Environ. Contam. Toxicol. 2020, 250, 119–171. [Google Scholar] [CrossRef]
  22. Sánchez-Bayo, F. Indirect effect of pesticides on insects and other arthropods. Toxics 2021, 9, 177. [Google Scholar] [CrossRef]
  23. Giglio, A.; Cavaliere, F.; Giulianini, P.G.; Kurtz, J.; Vommaro, M.L.; Brandmayr, P. Continuous agrochemical treatments in agroecosystems can modify the effects of pendimethalin-based herbicide exposure on immunocompetence of a beneficial ground beetle. Diversity 2019, 11, 241. [Google Scholar] [CrossRef]
  24. Bohnenblust, E.W.; Vaudo, A.D.; Egan, J.F.; Mortensen, D.A.; Tooker, J.F. Effects of the herbicide dicamba on nontarget plants and pollinator visitation. Environ. Toxicol. Chem. 2016, 35, 144–151. [Google Scholar] [CrossRef]
  25. Egan, J.F.; Bohnenblust, E.; Goslee, S.; Mortensen, D.; Tooker, J. Herbicide drift can affect plant and arthropod communities. Agric. Ecosyst. Environ. 2014, 185, 77–87. [Google Scholar] [CrossRef]
  26. Abuzeid, M.A. Effects of two herbicides on healthy and Nosema infected honey bee workers. Arthropods 2018, 7, 31–41. [Google Scholar]
  27. Giglio, A.; Vommaro, M.L.; Gionechetti, F.; Pallavicini, A. Gut microbial community response to herbicide exposure in a ground beetle. J. Appl. Entomol. 2021, 145, 986–1000. [Google Scholar] [CrossRef]
  28. Motta, E.V.S.; Raymann, K.; Moran, N.A. Glyphosate perturbs the gut microbiota of honey bees. Proc. Natl. Acad. Sci. USA 2018, 115, 10305–10310. [Google Scholar] [CrossRef]
  29. Mesnage, R.; Antoniou, M.N. Ignoring adjuvant toxicity falsifies the safety profile of commercial pesticides. Front. Public Health 2018, 5, 361. [Google Scholar] [CrossRef]
  30. Defarge, N.; Spiroux de Vendômois, J.; Séralini, G.E. Toxicity of formulants and heavy metals in glyphosate-based herbicides and other pesticides. Toxicol. Rep. 2018, 5, 156–163. [Google Scholar] [CrossRef]
  31. Seralini, G.E.; Jungers, G. Toxic compounds in herbicides without glyphosate. Food Chem. Toxicol. 2020, 146, 111770. [Google Scholar] [CrossRef]
  32. LeBaron, H.M.; McFarland, J.E.; Burnside, O.C. The Triazine Herbicides; Elsevier: Amsterdam, The Netherlands, 2008; ISBN 9780444511676. [Google Scholar]
  33. Travlos, I.S.; Gkotsi, T.; Roussis, I.; Kontopoulou, C.K.; Kakabouki, I.; Bilalis, D.J. Effects of the herbicides benfluralin, metribuzin and propyzamide on the survival and weight of earthworms (Octodrilus complanatus). Plant Soil Environ. 2017, 63, 117–124. [Google Scholar] [CrossRef]
  34. Li, G.; Li, D.; Rao, H.; Liu, X. Potential neurotoxicity, immunotoxicity, and carcinogenicity induced by metribuzin and tebuconazole exposure in earthworms (Eisenia fetida) revealed by transcriptome analysis. Sci. Total Environ. 2022, 807, 150760. [Google Scholar] [CrossRef]
  35. Alhewairini, S.S. Toxicity effects of glyphosate and metribuzin on five species of soil-dwelling predatory mites. Pak. J. Agric. Sci. 2020, 57, 1429–1435. [Google Scholar]
  36. Wolfson, J.L.; Yeargan, K.V. The effects of metribuzin on larval populations of alfalfa weevil, Hypera postica (Coleoptera: Curculionidae). J. Kans Entomol. Soc. 1983, 56, 40–46. [Google Scholar]
  37. Kaya, B.; Yanikoǧlu, A.; Creus, A.; Marcos, R. Genotoxicity testing of five herbicides in the Drosophila wing spot test. Mutat. Res./Genet. Toxicol. Environ. Mutagen. 2000, 465, 77–84. [Google Scholar] [CrossRef]
  38. Cavaliere, F.; Brandmayr, P.; Giglio, A. DNA damage in haemocytes of Harpalus (Pseudophonus) rufipes (De Geer, 1774) (Coleoptera, Carabidae) as an indicator of sublethal effects of exposure to herbicides. Ecol. Indic. 2019, 98, 88–91. [Google Scholar] [CrossRef]
  39. Syromyatnikov, M.Y.; Gureev, A.P.; Starkova, N.N.; Savinkova, O.V.; Starkov, A.A.; Lopatin, A.V.; Popov, V.N. Method for detection of mtDNA damages for evaluating of pesticides toxicity for bumblebees (Bombus terrestris L.). Pestic. Biochem. Physiol. 2020, 169, 104675. [Google Scholar] [CrossRef]
  40. Velisek, J.; Svobodova, Z.; Piackova, V.; Novotny, L.; Blahova, J.; Sudova, E.; Maly, V. Effects of metribuzin on rainbow trout (Oncorhynchus mykiss). Vet. Med. 2008, 53, 324–332. [Google Scholar] [CrossRef]
  41. Velisek, J.; Stastna, K.; Sudova, E.; Turek, J.; Svobodova, Z.; Velíšek, J. Effects of subchronic simazine exposure on some biometric, biochemical, hematological and histopathological parameters of common carp (Cyprinus carpio L.). Neuroendocrinol. Lett. 2009, 30, 300709–300749. [Google Scholar]
  42. Koutnik, D.; Stara, A.; Zuskova, E.; Kouba, A.; Velisek, J. The effect of subchronic metribuzin exposure to signal crayfish (Pacifastacus leniuscutus Dana 1852). Neuroendocrinol. Lett. 2014, 35, 51–56. [Google Scholar] [PubMed]
  43. Samir, D.; Asma, S. Triazinone herbicide metribuzin induced acute liver injury: A study of animal model. J. Acute Dis. 2018, 7, 152. [Google Scholar] [CrossRef]
  44. Medjdoub, A.; Merzouk, S.A.; Merzouk, H.; Chiali, F.Z.; Narce, M. Effects of mancozeb and metribuzin on in vitro proliferative responses and oxidative stress of human and rat spleen lymphocytes stimulated by mitogens. Pestic. Biochem. Physiol. 2011, 101, 27–33. [Google Scholar] [CrossRef]
  45. Jiao, W.; Chen, W.; Chang, A.C.; Page, A.L. Environmental risks of trace elements associated with long-term phosphate fertilizers applications: A review. Environ. Pollut. 2012, 168, 44–53. [Google Scholar] [CrossRef]
  46. Khan, M.N.; Mobin, M.; Abbas, Z.K.; Alamri, S.A. Fertilizers and their contaminants in soils, surface and groundwater. Encycl. Anthr. 2017, 1–5, 225–240. [Google Scholar] [CrossRef]
  47. Kelepertzis, E. Accumulation of heavy metals in agricultural soils of Mediterranean: Insights from Argolida Basin, Peloponnese, Greece. Geoderma 2014, 221, 82–90. [Google Scholar] [CrossRef]
  48. WHO Chemicals. Compendium of WHO and Other UN Guidance on Health and Environment; WHO: Geneva, Switzerland, 2021.
  49. Nagajyoti, P.C.; Lee, K.D.; Sreekanth, T.V.M. Heavy Metals, Occurrence and toxicity for plants: A review. Environ. Chem. Lett. 2010, 8, 199–216. [Google Scholar] [CrossRef]
  50. Zwolak, I.; Zaporowska, H. Selenium interactions and toxicity: A review. Cell Biol. Toxicol. 2012, 28, 31–46. [Google Scholar] [CrossRef]
  51. Tóth, G.; Hermann, T.; Da Silva, M.R.; Montanarella, L. Heavy Metals in agricultural soils of the European Union with implications for food safety. Environ. Int. 2016, 88, 299–309. [Google Scholar] [CrossRef]
  52. Belon, E.; Boisson, M.; Deportes, I.Z.; Eglin, T.K.; Feix, I.; Bispo, A.O.; Galsomies, L.; Leblond, S.; Guellier, C.R. An inventory of trace elements inputs to french agricultural soils. Sci. Total Environ. 2012, 439, 87–95. [Google Scholar] [CrossRef] [PubMed]
  53. Ennaji, W.; Barakat, A.; El Baghdadi, M.; Rais, J. Heavy metal contamination in agricultural soil and ecological risk assessment in the northeast area of Tadla Plain, Morocco. J. Sediment. Environ. 2020, 5, 307–320. [Google Scholar] [CrossRef]
  54. Huang, Y.; Wang, L.; Wang, W.; Li, T.; He, Z.; Yang, X. Current status of agricultural soil pollution by heavy metals in china: A meta-analysis. Sci. Total Environ. 2019, 651, 3034–3042. [Google Scholar] [CrossRef] [PubMed]
  55. Alengebawy, A.; Abdelkhalek, S.T.; Qureshi, S.R.; Wang, M.-Q. Heavy metals and pesticides toxicity in agricultural soil and plants: Ecological risks and human health implications. Toxics 2021, 9, 42. [Google Scholar] [CrossRef]
  56. Adeel, M.; Lee, J.Y.; Zain, M.; Rizwan, M.; Nawab, A.; Ahmad, M.A.; Shafiq, M.; Yi, H.; Jilani, G.; Javed, R. Cryptic footprints of rare earth elements on natural resources and living organisms. Environ. Int. 2019, 127, 785–800. [Google Scholar] [CrossRef]
  57. Ali, H.; Khan, E. Trophic Transfer, bioaccumulation, and biomagnification of non-essential hazardous heavy metals and metalloids in food chains/webs—Concepts and implications for wildlife and human health. Hum. Ecol. Risk Assess. 2019, 25, 1353–1376. [Google Scholar] [CrossRef]
  58. Naccarato, A.; Tassone, A.; Cavaliere, F.; Elliani, R.; Pirrone, N.; Sprovieri, F.; Tagarelli, A.; Giglio, A. Agrochemical treatments as a source of heavy metals and rare earth elements in agricultural soils and bioaccumulation in ground beetles. Sci. Total Environ. 2020, 749, 141438. [Google Scholar] [CrossRef]
  59. Gall, J.E.; Boyd, R.S.; Rajakaruna, N. Transfer of heavy metals through terrestrial food webs: A review. Environ. Monit. Assess 2015, 187, 201. [Google Scholar] [CrossRef]
  60. Dar, M.I.; Green, I.D.; Khan, F.A. Trace metal contamination: Transfer and fate in food chains of terrestrial invertebrates. Food Webs 2019, 20, e00116. [Google Scholar] [CrossRef]
  61. Monchanin, C.; Devaud, J.M.; Barron, A.B.; Lihoreau, M. Current permissible levels of metal pollutants harm terrestrial invertebrates. Sci. Total Environ. 2021, 779, 146398. [Google Scholar] [CrossRef]
  62. United Nations Sustainable Development Goals (SDGs). Available online: https://sdgs.un.org/goals (accessed on 23 April 2023).
  63. EFSA European Food Safety Authority, EFSA. Available online: https://www.efsa.europa.eu/it/applications/pesticides/regulationsandguidance (accessed on 21 March 2023).
  64. EPA EPA—Regulatory and Guidance Information by Topic: Pesticides. Available online: https://www.epa.gov/regulatory-information-topic/regulatory-and-guidance-information-topic-pesticides (accessed on 21 March 2023).
  65. Tao, Y.; Shen, L.; Feng, C.; Yang, R.; Qu, J.; Ju, H.; Zhang, Y. Distribution of Rare Earth Elements (REEs) and their roles in plant growth: A review. Environ. Pollut. 2022, 298, 118540. [Google Scholar] [CrossRef] [PubMed]
  66. Balaram, V. Rare Earth Elements: A Review of applications, occurrence, exploration, analysis, recycling, and environmental impact. Geosci. Front. 2019, 10, 1285–1303. [Google Scholar] [CrossRef]
  67. Ramos, S.J.; Dinali, G.S.; Oliveira, C.; Martins, G.C.; Moreira, C.G.; Siqueira, J.O.; Guilherme, L.R.G. Rare Earth Elements in the soil environment. Curr. Pollut. Rep. 2016, 2, 28–50. [Google Scholar] [CrossRef]
  68. Tommasi, F.; Thomas, P.J.; Pagano, G.; Perono, G.A.; Oral, R.; Lyons, D.M.; Toscanesi, M.; Trifuoggi, M. Review of Rare Earth Elements as fertilizers and feed additives: A Knowledge Gap Analysis. Arch. Environ. Contam. Toxicol. 2021, 81, 531–540. [Google Scholar] [CrossRef]
  69. Pagano, G.; Thomas, P.J.; Di Nunzio, A.; Trifuoggi, M. Human Exposures to Rare Earth Elements: Present knowledge and research prospects. Environ. Res 2019, 171, 493–500. [Google Scholar] [CrossRef]
  70. Tedesco, R.; Hidalgo, M.D.C.V.; Varde, M.; Kehrwald, N.M.; Barbante, C.; Cozzi, G. Trace and rare earth elements determination in milk whey from the Veneto region, Italy. Food Control 2021, 121, 107595. [Google Scholar] [CrossRef]
  71. Li, J.; Verweij, R.A.; van Gestel, C.A.M. Lanthanum toxicity to five different species of soil invertebrates in relation to availability in soil. Chemosphere 2018, 193, 412–420. [Google Scholar] [CrossRef]
  72. Li, J.; Hong, M.; Yin, X.; Liu, J. Effects of the accumulation of the rare earth elements on soil macrofauna community. J. Rare Earths 2010, 28, 957–964. [Google Scholar] [CrossRef]
  73. Rucki, M.; Kejlova, K.; Vlkova, A.; Jirova, D.; Dvorakova, M.; Svobodova, L.; Kandarova, H.; Letasiova, S.; Kolarova, H.; Mannerstrom, M. Evaluation of toxicity profiles of rare earth elements salts (lanthanides). J. Rare Earths 2021, 39, 225–232. [Google Scholar] [CrossRef]
  74. Swift, M.J.; Izac, A.M.N.; Van Noordwijk, M. Biodiversity and ecosystem services in agricultural landscapes—Are we asking the right questions? Agric. Ecosyst. Environ. 2004, 104, 113–134. [Google Scholar] [CrossRef]
  75. Köhler, H.R.; Triebskorn, R. Wildlife ecotoxicology of pesticides: Can we track effects to the population level and beyond? Science 2013, 341, 759–765. [Google Scholar] [CrossRef] [PubMed]
  76. Adamski, Z.; Bufo, S.A.; Chowański, S.; Falabella, P.; Lubawy, J.; Marciniak, P.; Pacholska-Bogalska, J.; Salvia, R.; Scrano, L.; Słocińska, M.; et al. Beetles as model organisms in physiological, biomedical and environmental studies—A review. Front. Physiol. 2019, 10, 319. [Google Scholar] [CrossRef]
  77. Howard, R.S. The Biology of the Grain Beetle Tenebrio molitor with particular reference to its behavior. Ecology 1955, 36, 262–269. [Google Scholar] [CrossRef]
  78. Vigneron, A.; Jehan, C.; Rigaud, T.; Moret, Y. Immune defenses of a beneficial pest: The mealworm beetle, Tenebrio molitor. Front. Physiol. 2019, 10, 138. [Google Scholar] [CrossRef] [PubMed]
  79. James, R.R.; Xu, J. Mechanisms by which pesticides affect insect immunity. J. Invertebr. Pathol. 2012, 109, 175–182. [Google Scholar] [CrossRef]
  80. Moreno-García, M.; Córdoba-Aguilar, A.; Condé, R.; Lanz-Mendoza, H. Current immunity markers in insect ecological immunology: Assumed trade-offs and methodological issues. Bull Entomol. Res. 2013, 103, 127–139. [Google Scholar] [CrossRef] [PubMed]
  81. Eleftherianos, I.; Heryanto, C.; Bassal, T.; Zhang, W.; Tettamanti, G.; Mohamed, A. Haemocyte-mediated immunity in insects: Cells, processes and associated components in the fight against pathogens and parasites. Immunology 2021, 164, 401–432. [Google Scholar] [CrossRef]
  82. Chen, X.; Xiao, D.; Du, X.; Guo, X.; Zhang, F.; Desneux, N.; Zang, L.; Wang, S. The role of the dopamine melanin pathway in the ontogeny of elytral melanization in Harmonia axyridis. Front. Physiol. 2019, 10, 1066. [Google Scholar] [CrossRef]
  83. Mun, S.; Noh, M.Y.; Kramer, K.J.; Muthukrishnan, S.; Arakane, Y. Gene functions in adult cuticle pigmentation of the yellow mealworm, Tenebrio molitor. Insect Biochem. Mol. Biol. 2020, 117, 103291. [Google Scholar] [CrossRef]
  84. Wigglesworth, V.B. The Insect Cuticle. Biol. Rev. 1948, 23, 408–451. [Google Scholar] [CrossRef]
  85. Vincent, J.F.V.; Wegst, U.G.K. Design and mechanical properties of insect cuticle. Arthropod. Struct. Dev. 2004, 33, 187–199. [Google Scholar] [CrossRef] [PubMed]
  86. Silva, F.W.S.; Araujo, L.S.; Azevedo, D.O.; Serrão, J.E.; Elliot, S.L. Physical and chemical properties of primary defences in Tenebrio molitor. Physiol. Entomol. 2016, 41, 121–126. [Google Scholar] [CrossRef]
  87. Noh, M.Y.; Muthukrishnan, S.; Kramer, K.J.; Arakane, Y. Cuticle formation and pigmentation in beetles. Curr. Opin. Insect Sci. 2016, 17, 1–9. [Google Scholar] [CrossRef] [PubMed]
  88. Evison, S.E.F.; Gallagher, J.D.; Thompson, J.J.W.; Siva-Jothy, M.T.; Armitage, S.A.O. Cuticular colour reflects underlying architecture and is affected by a limiting resource. J. Insect Physiol. 2017, 98, 7–13. [Google Scholar] [CrossRef] [PubMed]
  89. Armitage, S.A.O.; Siva-Jothy, M.T. Immune function responds to selection for cuticular colour in Tenebrio molit. Heredity 2005, 94, 650–656. [Google Scholar] [CrossRef] [PubMed]
  90. Barnes, A.I.; Siva-Jothy, M.T. Density–dependent prophylaxis in the mealworm beetle Tenebrio molitor L. (Coleoptera: Tenebrionidae): Cuticular melanization is an indicator of investment in immunity. Proc. R. Soc. Lond. B Biol. Sci. 2000, 267, 177–182. [Google Scholar] [CrossRef]
  91. Giglio, A.; Ammendola, A.; Battistella, S.; Naccarato, A.; Pallavicini, A.; Simeon, E.; Tagarelli, A.; Giulianini, P.G. Apis mellifera ligustica, Spinola 1806 as bioindicator for detecting environmental contamination: A preliminary study of heavy metal pollution in Trieste, Italy. Environ. Sci. Pollut. Res. 2017, 24, 659–665. [Google Scholar] [CrossRef]
  92. Talarico, F.; Brandmayr, P.; Giulianini, P.G.; Ietto, F.; Naccarato, A.; Perrotta, E.; Tagarelli, A.; Giglio, A. Effects of metal pollution on survival and physiological responses in Carabus (Chaetocarabus) lefebvrei (Coleoptera, Carabidae). Eur. J. Soil. Biol. 2014, 61, 80–89. [Google Scholar] [CrossRef]
  93. Naccarato, A.; Tagarelli, A. Recent applications and newly developed strategies of solid-phase microextraction in contaminant analysis: Through the environment to humans. Separations 2019, 6, 54. [Google Scholar] [CrossRef]
  94. Chianese, E.; Tirimberio, G.; Dinoi, A.; Cesari, D.; Contini, D.; Bonasoni, P.; Marinoni, A.; Andreoli, V.; Mannarino, V.; Moretti, S.; et al. Particulate matter ionic and elemental composition during the winter season: A comparative study among rural, urban and remote sites in southern Italy. Atmosphere 2022, 13, 356. [Google Scholar] [CrossRef]
  95. Naccarato, A.; Tassone, A.; Martino, M.; Elliani, R.; Sprovieri, F.; Pirrone, N.; Tagarelli, A. An innovative green protocol for the quantification of benzothiazoles, benzotriazoles and benzosulfonamides in PM10 using microwave-assisted extraction coupled with solid-phase microextraction Gas Chromatography Tandem-Mass Spectrometry. Environ. Pollut. 2021, 285, 117487. [Google Scholar] [CrossRef]
  96. Knapp, M.; Řeřicha, M. Effects of the winter temperature regime on survival, body mass loss and post-winter starvation resistance in laboratory-reared and field-collected ladybirds. Sci. Rep. 2020, 10, 1–10. [Google Scholar] [CrossRef] [PubMed]
  97. Thompson, J.J.W.; Armitage, S.A.O.; Siva-Jothy, M.T. Cuticular colour change after imaginal eclosion is time-constrained: Blacker beetles darken faster. Physiol. Entomol. 2002, 27, 136–141. [Google Scholar] [CrossRef]
  98. Cavaliere, F.; Brandmayr, P.; Giulianini, P.G.; Vommaro, M.L.; Giglio, A. Harpalus (Pseudoophonus) rufipes as a model to study cellular and humoral immune defence strategies in coleopteran species. Invertebr. Surviv. J. 2019, 16, 92–104. [Google Scholar] [CrossRef]
  99. Naccarato, A.; Gionfriddo, E.; Elliani, R.; Pawliszyn, J.; Sindona, G.; Tagarelli, A. Investigating the robustness and extraction performance of a matrix-compatible solid-phase microextraction coating in human urine and its application to assess 2-6-ring polycyclic aromatic hydrocarbons using GC-MS/MS. J. Sep. Sci. 2018, 41, 929–939. [Google Scholar] [CrossRef]
  100. Moretti, S.; Salmatonidis, A.; Querol, X.; Tassone, A.; Andreoli, V.; Bencardino, M.; Pirrone, N.; Sprovieri, F.; Naccarato, A. Contribution of volcanic and fumarolic emission to the aerosol in marine atmosphere in the central mediterranean sea: Results from Med-Oceanor 2017 cruise campaign. Atmosphere 2020, 11, 149. [Google Scholar] [CrossRef]
  101. Elliani, R.; Tagarelli, A.; Naccarato, A. Assessment of benzothiazoles, benzotriazoles and benzenesulfonamides in environmental waters using an optimized combination of microextraction by packed sorbent with programmed temperature vaporization-Gas Chromatography Tandem-Mass Spectrometry. Talanta 2023, 258, 124410. [Google Scholar] [CrossRef]
  102. R Development Core Team. R: A language and Environment for Statistical Computing. r Foundation for Statistical Computing, Vienna, Austria. 2013. Available online: https://www.r-project.org/ (accessed on 21 March 2023).
  103. Singh, S.; Tripathi, D.K.; Singh, S.; Sharma, S.; Dubey, N.K.; Chauhan, D.K.; Vaculík, M. Toxicity of Aluminium on various levels of plant cells and organism: A review. Environ. Exp. Bot. 2017, 137, 177–193. [Google Scholar] [CrossRef]
  104. Campos, V. Trace Elements in Pesticides. Commun. Soil. Sci. Plant Anal. 2003, 34, 1261–1268. [Google Scholar] [CrossRef]
  105. Cheraghi, M.; Lorestani, B.; Merrikhpour, H. Investigation of the effects of phosphate fertilizer application on the heavy metal content in agricultural soils with different cultivation patterns. Biol. Trace. Elem. Res. 2012, 145, 87–92. [Google Scholar] [CrossRef]
  106. Shuaib, M.; Azam, N.; Bahadur, S.; Romman, M.; Yu, Q.; Xuexiu, C. Variation and succession of microbial communities under the conditions of persistent heavy metal and their survival mechanism. Microb. Pathog. 2021, 150, 104713. [Google Scholar] [CrossRef] [PubMed]
  107. Asati, A.; Pichhode, M.; Nikhil, K. Effect of heavy metals on plants: An overview. Int. J. Appl. Innov. Eng. Manag. 2016, 5, 56–66. [Google Scholar]
  108. Zwolak, A.; Sarzyńska, M.; Szpyrka, E.; Stawarczyk, K. Sources of soil pollution by heavy metals and their accumulation in vegetables: A review. Water Air Soil Pollut. 2019, 230, 164. [Google Scholar] [CrossRef]
  109. Afonne, O.J.; Ifediba, E.C. Heavy metals risks in plant foods—Need to step up precautionary measures. Curr. Opin. Toxicol. 2020, 22, 1–6. [Google Scholar] [CrossRef]
  110. Lindqvist, L. Accumulation of Cadmium, Copper, and Zinc in five species of phytophagous insects. Environ. Entomol. 1992, 21, 160–163. [Google Scholar] [CrossRef]
  111. Gintenreiter, S.; Ortel, J.; Nopp, H.J. Bioaccumulation of Cadmium, Lead, Copper, and Zinc in successive developmental stages of Lymantria dispar L. (Lymantriidae, Lepid)—A Life Cycle Study. Arch. Environ. Contam. Toxicol. 1993, 25, 55–61. [Google Scholar] [CrossRef]
  112. Butt, A.; Qurat-ul-Ain; Rehman, K.; Khan, M.X.; Hesselberg, T. Bioaccumulation of Cadmium, Lead, and Zinc in agriculture-based insect food chains. Environ. Monit. Assess. 2018, 190, 698. [Google Scholar] [CrossRef]
  113. Green, I.D.; Jeffries, C.; Diaz, A.; Tibbett, M. Contrasting behaviour of Cadmium and Zinc in a soil-plant-arthropod system. Chemosphere 2006, 64, 1115–1121. [Google Scholar] [CrossRef]
  114. Zhang, J.; Shi, Z.; Gao, Z.; Wen, Y.; Wang, W.; Liu, W.; Wang, X.; Zhu, F. Identification of three metallothioneins in the black soldier fly and their functions in Cd accumulation and detoxification. Environ. Pollut. 2021, 286, 117146. [Google Scholar] [CrossRef]
  115. Ballan-Dufrançais, C. Localization of metals in cells of pterygote insects. Microsc. Res. Tech. 2002, 56, 403–420. [Google Scholar] [CrossRef]
  116. Stewart, A.D.; Anand, R.R.; Laird, J.S.; Verrall, M.; Ryan, C.G.; de Jonge, M.D.; Paterson, D.; Howard, D.L. Distribution of metals in the termite Tumulitermes tumuli (Froggatt): Two types of Malpighian tubule concretion host Zn and Ca mutually exclusively. PLoS ONE 2011, 6, e27578. [Google Scholar] [CrossRef] [PubMed]
  117. Leonard, E.M.; Pierce, L.M.; Gillis, P.L.; Wood, C.M.; O’Donnell, M.J. Cadmium transport by the gut and malpighian tubules of Chironomus Riparius. Aquat. Toxicol. 2009, 92, 179–186. [Google Scholar] [CrossRef] [PubMed]
  118. Bednarska, A.J.; Świątek, Z.M.; Labecka, A.M. Effects of cadmium bioavailability in food on its distribution in different tissues in the ground beetle Pterostichus oblongopunctatus. Bull Environ. Contam. Toxicol. 2019, 103, 421–427. [Google Scholar] [CrossRef] [PubMed]
  119. Giglio, A.; Brandmayr, P. Structural and functional alterations in Malpighian tubules as biomarkers of environmental pollution: Synopsis and prospective. J. Appl. Toxicol. 2017, 37, 889–894. [Google Scholar] [CrossRef] [PubMed]
  120. Yin, S.; Qin, Q.; Zhou, B. Functional studies of drosophila zinc transporters reveal the mechanism for zinc excretion in Malpighian tubules. BMC Biol. 2017, 15, 12. [Google Scholar] [CrossRef] [PubMed]
  121. Belowitz, R.; O’Donnell, M.J. Ion-selective microelectrode measurements of Tl+ and K+ transport by the gut and associated epithelia in Chironomus Riparius. Aquat. Toxicol. 2013, 138–139, 70–80. [Google Scholar] [CrossRef]
  122. Bednarska, A.J.; Świątek, Z.M.; Paciorek, K.; Kubińska, N. Effect of cadmium bioavailability in food on its compartmentalisation in Carabids. Ecotoxicology 2017, 26, 1259–1270. [Google Scholar] [CrossRef]
  123. Slobodian, M.R.; Petahtegoose, J.D.; Wallis, A.L.; Levesque, D.C.; Merritt, T.J.S. The effects of essential and non-essential metal toxicity in the Drosophila Melanogaster Insect Model: A Review. Toxics 2021, 9, 269. [Google Scholar] [CrossRef]
  124. Bednarska, A.J.; Świątek, Z. Subcellular partitioning of cadmium and zinc in mealworm beetle (Tenebrio molitor) larvae exposed to metal-contaminated flour. Ecotoxicol. Environ. Saf. 2016, 133, 82–89. [Google Scholar] [CrossRef]
  125. Pedersen, S.A.; Kristiansen, E.; Andersen, R.A.; Zachariassen, K.E. Cadmium is deposited in the gut content of larvae of the beetle Tenebrio molitor and involves a Cd-binding protein of the low cysteine type. Comp. Biochem. Physiol. Part—C Toxicol. Pharm. 2008, 148, 217–222. [Google Scholar] [CrossRef]
  126. Zhang, J.; Jiang, D.; Dong, X.; Meng, Z.; Yan, S. Accumulation of Cd and Pb in various body parts, organs and tissues of Lymantria dispar asiatica (Lepidoptera: Erebidae). J. Asia Pac. Entomol. 2020, 23, 963–969. [Google Scholar] [CrossRef]
  127. Lindqvist, L.; Block, M. Losses of Cd, Hg, and Zn during metamorphosis in the beetle Tenebrio Molitor (Coleoptera: Tenebrionidae). Bull. Environ. Contam. Toxicol. 1997, 58, 67–70. [Google Scholar] [CrossRef] [PubMed]
  128. Kafel, A.; Rozpedek, K.; Szulińska, E.; Zawisza-Raszka, A.; Migula, P. The effects of Cadmium or Zinc multigenerational exposure on metal tolerance of Spodoptera Exigua (Lepidoptera: Noctuidae). Environ. Sci. Pollut. Res. 2014, 21, 4705–4715. [Google Scholar] [CrossRef]
  129. Filipiak, M.; Woyciechowski, M.; Czarnoleski, M. Stoichiometric niche, nutrient partitioning and resource allocation in a solitary bee are sex-specific and Phosphorous is allocated mainly to the cocoon. Sci. Rep. 2021, 11, 652. [Google Scholar] [CrossRef] [PubMed]
  130. Augustyniak, M.; Migula, P. Chapter 16 Body burden with metals and detoxifying abilities of the grasshopper—Chorthippus brunneus (Thunberg) from industrially polluted areas. In Trace Metals in the Environment; Elsevier: Amsterdam, The Netherlands, 2000; Volume 4, pp. 423–454. ISBN 0927-5215. [Google Scholar]
  131. Balinski, M.A.; Woodruff, R.C. Differential sexual survival of Drosophila Melanogaster on Copper sulfate. Genetica 2017, 145, 131–137. [Google Scholar] [CrossRef] [PubMed]
  132. Laskowski, R. Are the top carnivores endangered by heavy metal biomagnification? Oikos 1991, 60, 387. [Google Scholar] [CrossRef]
  133. Su, H.; Wu, J.; Zhang, Z.; Ye, Z.; Chen, Y.; Yang, Y. Effects of Cadmium stress at different concentrations on the reproductive behaviors of beet armyworm Spodoptera Exigua (Hübner). Ecotoxicology 2021, 30, 402–410. [Google Scholar] [CrossRef]
  134. Oliveira, C.S.; Nogara, P.A.; Lima, L.S.; Galiciolli, M.E.; Souza, J.V.; Aschner, M.; Rocha, J.B. Toxic Metals That Interact with thiol groups and alteration in insect behavior. Curr. Opin. Insect Sci. 2022, 52, 100923. [Google Scholar] [CrossRef]
  135. Gkinali, A.A.; Matsakidou, A.; Vasileiou, E.; Paraskevopoulou, A. Potentiality of Tenebrio molitor larva-based ingredients for the food industry: A review. Trends Food Sci. Technol. 2022, 119, 495–507. [Google Scholar] [CrossRef]
  136. Grau, T.; Vilcinskas, A.; Joop, G. Sustainable farming of the mealworm Tenebrio molitor for the production of food and feed. Z. Fur. Nat.—Sect. C J. Biosci. 2017, 72, 337–349. [Google Scholar] [CrossRef]
  137. Selaledi, L.; Mbajiorgu, C.A.; Mabelebele, M. The use of yellow mealworm (T. molitor) as alternative source of protein in poultry diets: A review. Trop. Anim. Health Prod. 2020, 52, 7–16. [Google Scholar] [CrossRef] [PubMed]
  138. Turck, D.; Bohn, T.; Castenmiller, J.; De Henauw, S.; Hirsch-Ernst, K.I.; Maciuk, A.; Mangelsdorf, I.; McArdle, H.J.; Naska, A.; Pelaez, C.; et al. Safety of frozen and dried formulations from whole yellow mealworm (Tenebrio molitor larva) as a novel food pursuant to regulation (EU) 2015/2283. EFSA J. 2021, 19, e06778. [Google Scholar] [CrossRef]
  139. European Commission. Commission Implementing Regulation (EU) 2017/2470 of 20 December 2017 Establishing the Union List of Novel Foods in Accordance with Regulation (EU) 2015/2283 of the European Parliament and of the Council on Novel Foods; European Commission: Brussels, Belgium, 2017.
  140. Van Der Fels-Klerx, H.J.; Camenzuli, L.; Van Der Lee, M.K.; Oonincx, D.G.A.B. Uptake of Cadmium, Lead and Arsenic by Tenebrio molitor and Hermetia illucens from contaminated substrates. PLoS ONE 2016, 11, e0166186. [Google Scholar] [CrossRef] [PubMed]
  141. Costa, S.; Pedro, S.; Lourenço, H.; Batista, I.; Teixeira, B.; Bandarra, N.M.; Murta, D.; Nunes, R.; Pires, C. Evaluation of Tenebrio molitor larvae as an alternative food source. NFS J. 2020, 21, 57–64. [Google Scholar] [CrossRef]
  142. Truzzi, C.; Illuminati, S.; Girolametti, F.; Antonucci, M.; Scarponi, G.; Ruschioni, S.; Riolo, P.; Annibaldi, A. Influence of feeding substrates on the presence of toxic metals (Cd, Pb, Ni, as, Hg) in larvae of Tenebrio molitor: Risk assessment for human consumption. Int. J. Environ. Res. Public Health 2019, 16, 4815. [Google Scholar] [CrossRef] [PubMed]
  143. Gonzalez, V.; Vignati, D.A.L.; Leyval, C.; Giamberini, L. Environmental fate and ecotoxicity of lanthanides: Are they a uniform group beyond chemistry? Environ. Int 2014, 71, 148–157. [Google Scholar] [CrossRef] [PubMed]
  144. Das, T.; Sharma, A.; Talukder, G. Effects of Lanthanum in cellular systems—A review. Biol. Trace Elem. Res. 1988, 18, 201–228. [Google Scholar] [CrossRef]
  145. Huang, P.; Li, J.; Zhang, S.; Chen, C.; Han, Y.; Liu, N.; Xiao, Y.; Wang, H.; Zhang, M.; Yu, Q. Effects of Lanthanum, Cerium, and Neodymium on the nuclei and mitochondria of hepatocytes: Accumulation and oxidative damage. Environ. Toxicol. Pharm. 2011, 31, 25–32. [Google Scholar] [CrossRef]
  146. Pagano, G.; Aliberti, F.; Guida, M.; Oral, R.; Siciliano, A.; Trifuoggi, M.; Tommasi, F. Rare earth elements in human and animal health: State of art and research priorities. Environ. Res. 2015, 142, 215–220. [Google Scholar] [CrossRef]
  147. Gwenzi, W.; Mangori, L.; Danha, C.; Chaukura, N.; Dunjana, N.; Sanganyado, E. Sources, behaviour, and environmental and human health risks of high-technology rare earth elements as emerging contaminants. Sci. Total Environ. 2018, 636, 299–313. [Google Scholar] [CrossRef]
  148. González-Santoyo, I.; Córdoba-Aguilar, A. Phenoloxidase: A key component of the insect immune system. Entomol. Exp. Appl. 2012, 142, 1–16. [Google Scholar] [CrossRef]
  149. Arakane, Y.; Noh, M.Y.; Asano, T.; Kramer, K.J. Tyrosine metabolism for insect cuticle pigmentation and sclerotization. In Extracellular Composite Matrices in Arthropods; Springer International Publishing: Cham, Switzerland, 2016; pp. 165–220. [Google Scholar]
  150. Gibert, P.; Debat, V.; Ghalambor, C.K. Phenotypic plasticity, global change, and the speed of adaptive evolution. Curr. Opin. Insect Sci. 2019, 35, 34–40. [Google Scholar] [CrossRef] [PubMed]
  151. Lee, K.P.; Simpson, S.J.; Wilson, K. Dietary protein-quality influences melanization and immune function in an insect. Funct. Ecol. 2008, 22, 1052–1061. [Google Scholar] [CrossRef]
  152. Schwenke, R.A.; Lazzaro, B.P.; Wolfner, M.F. Reproduction–immunity trade-offs in insects. Annu. Rev. Entomol. 2016, 61, 239–256. [Google Scholar] [CrossRef] [PubMed]
  153. Vommaro, M.L.; Giulianini, P.G.; Giglio, A. Pendimethalin-based herbicide impairs cellular immune response and haemocyte morphology in a beneficial ground beetle. J. Insect Physiol. 2021, 131, 104236. [Google Scholar] [CrossRef]
  154. Cestonaro, L.V.; Macedo, S.M.D.; Piton, Y.V.; Garcia, S.C.; Arbo, M.D. Toxic effects of pesticides on cellular and humoral immunity: An overview. Immunopharmacol. Immunotoxicol. 2022, 44, 816–831. [Google Scholar] [CrossRef]
  155. Babcock, D.T.; Brock, A.R.; Fish, G.S.; Wang, Y.; Perrin, L.; Krasnow, M.A.; Galko, M.J. Circulating blood cells function as a surveillance system for damaged tissue in Drosophila larvae. Proc. Natl. Acad. Sci. USA 2008, 105, 10017–10022. [Google Scholar] [CrossRef]
  156. Chaitanya, R.K.; Shashank, K.; Sridevi, P. Oxidative Stress in Invertebrate systems. Free Radic. Dis. 2016, 19, 51–68. [Google Scholar]
  157. Rantala, M.J.; Jokinen, I.; Kortet, R.; Vainikka, A.; Suhonen, J. Do pheromones reveal male immunocompetence? Proc. R. Soc. Lond. B Biol. Sci. 2002, 269, 1681–1685. [Google Scholar] [CrossRef]
  158. Ruiz-Guzmán, G.; Cordero-Molina, S.; Krams, I.; Contreras-Garduño, J. Interactions between oxidative stress and attractiveness to mates and individual mate choice in the beetle Tenebrio molitor. Ethology 2021, 127, 109–116. [Google Scholar] [CrossRef]
  159. McCallum, M.L.; Matlock, M.; Treas, J.; Safi, B.; Sanson, W.; McCallum, J.L. Endocrine disruption of sexual selection by an estrogenic herbicide in the mealworm beetle (Tenebrio molitor). Ecotoxicology 2013, 22, 1461–1466. [Google Scholar] [CrossRef]
  160. Vommaro, M.L.; Kurtz, J.; Giglio, A. morphological characterisation of haemocytes in the mealworm beetle Tenebrio molitor (Coleoptera, Tenebrionidae). Insects 2021, 12, 423. [Google Scholar] [CrossRef] [PubMed]
  161. Wu, G.; Yi, Y. Effects of dietary heavy metals on the immune and antioxidant systems of Galleria Mellonella larvae. Comp. Biochem. Physiol. Part—C Toxicol. Pharmacol. 2015, 167, 131–139. [Google Scholar] [CrossRef]
  162. Cardoso-Jaime, V.; Broderick, N.A.; Maya-Maldonado, K. Metal ions in insect reproduction: A crosstalk between reproductive physiology and immunity. Curr. Opin. Insect Sci. 2022, 52, 100924. [Google Scholar] [CrossRef]
  163. Coskun, M.; Kayis, T.; Yilmaz, M.; Dursun, O.; Emre, I. Copper and Zinc Impact on stress biomarkers and growth parameters in a model organism, Galleria mellonella Larvae. BioMetals 2021, 34, 1263–1273. [Google Scholar] [CrossRef]
  164. Augustyniak, M.; Babczyńska, A.; Kozłowski, M.; Sawczyn, T.; Augustyniak, M. Effects of Zinc and female aging on nymphal life history in a grasshopper from polluted sites. J. Insect Physiol. 2008, 54, 41–50. [Google Scholar] [CrossRef]
  165. Filipiak, M.; Bilska, E.; Tylko, G.; Pyza, E. Effects of Zinc on programmed cell death of Musca domestica and Drosophila Melanogaster Blood Cells. J. Insect Physiol. 2010, 56, 383–390. [Google Scholar] [CrossRef]
  166. Borowska, J.; Pyza, E. Effects of heavy metals on insect immunocompetent cells. J. Insect Physiol. 2011, 57, 760–770. [Google Scholar] [CrossRef] [PubMed]
  167. Pipe, R.K.; Coles, J.A.; Carissan, F.M.M.; Ramanathan, K. Copper induced immunomodulation in the marine mussel, Mytilus Edulis. Aquat. Toxicol. 1999, 46, 43–54. [Google Scholar] [CrossRef]
  168. Lorenzon, S.; Francese, M.; Smith, V.J.; Ferrero, E.A. Heavy metals affect the circulating haemocyte number in the shrimp Palaemon Elegans. Fish Shellfish Immunol. 2001, 11, 459–472. [Google Scholar] [CrossRef] [PubMed]
  169. Hrdina, A.; Iatsenko, I. The roles of metals in insect–microbe interactions and immunity. Curr. Opin. Insect Sci. 2022, 49, 71–77. [Google Scholar] [CrossRef] [PubMed]
  170. Smith, D.F.Q.; Camacho, E.; Thakur, R.; Barron, A.J.; Dong, Y.; Dimopoulos, G.; Broderick, N.A.; Casadevall, A. Glyphosate inhibits melanization and increases susceptibility to infection in insects. PLoS Biol. 2021, 19, e3001182. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Experimental setup. T. molitor pupae were divided by sex, and newly emerged adult beetles were housed in cups and exposed to metribuzin-based herbicide (MTB) and NPK-based fertilizer (TG) at the recommended field rate for 8 days. A control group was run in parallel. The beetles were assessed during sexual maturation for: physiological and immunological markers—body condition (N = 30), cuticular darkness (N = 30), plasma phenoloxidase (PO) enzyme activity (N = 15), and total hemocyte count (THC; N = 11)—and chemical analysis (N = 20) to assess bioaccumulation and biomagnification.
Figure 1. Experimental setup. T. molitor pupae were divided by sex, and newly emerged adult beetles were housed in cups and exposed to metribuzin-based herbicide (MTB) and NPK-based fertilizer (TG) at the recommended field rate for 8 days. A control group was run in parallel. The beetles were assessed during sexual maturation for: physiological and immunological markers—body condition (N = 30), cuticular darkness (N = 30), plasma phenoloxidase (PO) enzyme activity (N = 15), and total hemocyte count (THC; N = 11)—and chemical analysis (N = 20) to assess bioaccumulation and biomagnification.
Toxics 11 00499 g001
Figure 2. Relative abundance of elements in T. molitor adults. The relative percentages of each element refer to the respective experimental groups of beetles exposed to metribuzin-based herbicide (MTB, A) and NPK-based fertilizer (TG, B), and the control group, at 2 (2 d) and 7 (7 d) days of treatment.
Figure 2. Relative abundance of elements in T. molitor adults. The relative percentages of each element refer to the respective experimental groups of beetles exposed to metribuzin-based herbicide (MTB, A) and NPK-based fertilizer (TG, B), and the control group, at 2 (2 d) and 7 (7 d) days of treatment.
Toxics 11 00499 g002
Figure 3. Principal components analysis: Scores and loadings plots on the first two PCs for the treated T. molitor adults with the metribuzin-based herbicide (A,B).
Figure 3. Principal components analysis: Scores and loadings plots on the first two PCs for the treated T. molitor adults with the metribuzin-based herbicide (A,B).
Toxics 11 00499 g003
Figure 4. Principal components analysis: Scores and loading plots on the first two PCs for the T. molitor adults treated with NPK fertilizer (A,B).
Figure 4. Principal components analysis: Scores and loading plots on the first two PCs for the T. molitor adults treated with NPK fertilizer (A,B).
Toxics 11 00499 g004
Figure 5. Relative loss of body mass in T. molitor exposed to metribuzin-based herbicide (MTB; N = 30) and NPK fertilizer (TG; N = 30) and in the control group (C; N = 30). Panels show relative body mass loss in males (M) and females (F) between 0 and 7 (A), 0 and 5 (B), and 5 and 7 (C) days after eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05. Where letters are not shown, no significant differences were found.
Figure 5. Relative loss of body mass in T. molitor exposed to metribuzin-based herbicide (MTB; N = 30) and NPK fertilizer (TG; N = 30) and in the control group (C; N = 30). Panels show relative body mass loss in males (M) and females (F) between 0 and 7 (A), 0 and 5 (B), and 5 and 7 (C) days after eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05. Where letters are not shown, no significant differences were found.
Toxics 11 00499 g005
Figure 6. Total hemocyte counts (THC) expressed as cell mL−1, in T. molitor exposed to metribuzin-based herbicide (MTB; N = 11) and NPK fertilizer (TG; N = 11) and in the control group (C; N = 11). Panels show the density of circulating hemocytes in females and males at 2 and 7 days post-eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05.
Figure 6. Total hemocyte counts (THC) expressed as cell mL−1, in T. molitor exposed to metribuzin-based herbicide (MTB; N = 11) and NPK fertilizer (TG; N = 11) and in the control group (C; N = 11). Panels show the density of circulating hemocytes in females and males at 2 and 7 days post-eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05.
Toxics 11 00499 g006
Figure 7. The plasmatic basal and total phenoloxidase enzyme activities (PO) in untreated (C; N = 15) T. molitor adults and treated ones with the metribuzin-based herbicide (MTB; N = 15) and NPK fertilizer (TG; N = 15). The enzyme activity was recorded as absorbance units per min (ΔA492 min−1) in females (A) and males (B) at 2 and 7 days after eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05.
Figure 7. The plasmatic basal and total phenoloxidase enzyme activities (PO) in untreated (C; N = 15) T. molitor adults and treated ones with the metribuzin-based herbicide (MTB; N = 15) and NPK fertilizer (TG; N = 15). The enzyme activity was recorded as absorbance units per min (ΔA492 min−1) in females (A) and males (B) at 2 and 7 days after eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05.
Toxics 11 00499 g007
Figure 8. Cuticular darkness of elytra, expressed as luminance degree, in adult T. molitor exposed to the metribuzin-based herbicide (MTB; N = 30) and NPK fertilizer (TG; N = 30) and in the control group (C; N = 30). Cuticular darkness is shown in females (A) and males (B) at 0, 1, 5, and 8 days after eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05.
Figure 8. Cuticular darkness of elytra, expressed as luminance degree, in adult T. molitor exposed to the metribuzin-based herbicide (MTB; N = 30) and NPK fertilizer (TG; N = 30) and in the control group (C; N = 30). Cuticular darkness is shown in females (A) and males (B) at 0, 1, 5, and 8 days after eclosion. Boxplots not sharing the same letter are significantly different at p-value < 0.05.
Toxics 11 00499 g008
Table 1. Biomagnification factors (BMFs) of metals in Tenebrio molitor females and males from control (CTRL), metribuzin-based herbicide (MTB), and NPK fertilizer (TG) groups.
Table 1. Biomagnification factors (BMFs) of metals in Tenebrio molitor females and males from control (CTRL), metribuzin-based herbicide (MTB), and NPK fertilizer (TG) groups.
Treatments
CTRL aMTB bTG b
FemalesMalesFemalesMalesFemalesMales
Na16.25–17.1320.48–19.850.09–0.090.07–0.090.68–0.590.62–0.65
K0.57–0.610.81–0.6828.89–28.3612.90–15.670.02–0.020.02–0.02
Mn0.08–0.100.10–0.134.04–3.973.15–4.010.07–0.060.05–0.06
Cu1.43–1.521.63–1.687.49–8.1412.18–16.615.05–5.635.58–5.91
Zn1.49–1.591.64–1.6831.74–32.8657.58–67.532.73–3.103.17–3.15
Se3.05–2.531.70–2.47--0.68–0.590.62–0.65
Cr0.97–5.280.20–0.84----
Cd1.15–1.532.49–1.67----
Bi0–0.451.41–3.95----
U0–0.080.04–2.44----
a BMFs were calculated as the ratio between the metal concentration in beetle and food; b BMFs were calculated as the ratio between the metal concentration in beetle and administered treatment. Metal concentrations of food and MTB and TG commercial formulations are reported in Table S1 and for beetles in Tables S2 and S3. Each number pair indicates the value recorded for beetles 2 and 7 days old, respectively.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Naccarato, A.; Vommaro, M.L.; Amico, D.; Sprovieri, F.; Pirrone, N.; Tagarelli, A.; Giglio, A. Triazine Herbicide and NPK Fertilizer Exposure: Accumulation of Heavy Metals and Rare Earth Elements, Effects on Cuticle Melanization, and Immunocompetence in the Model Species Tenebrio molitor. Toxics 2023, 11, 499. https://doi.org/10.3390/toxics11060499

AMA Style

Naccarato A, Vommaro ML, Amico D, Sprovieri F, Pirrone N, Tagarelli A, Giglio A. Triazine Herbicide and NPK Fertilizer Exposure: Accumulation of Heavy Metals and Rare Earth Elements, Effects on Cuticle Melanization, and Immunocompetence in the Model Species Tenebrio molitor. Toxics. 2023; 11(6):499. https://doi.org/10.3390/toxics11060499

Chicago/Turabian Style

Naccarato, Attilio, Maria Luigia Vommaro, Domenico Amico, Francesca Sprovieri, Nicola Pirrone, Antonio Tagarelli, and Anita Giglio. 2023. "Triazine Herbicide and NPK Fertilizer Exposure: Accumulation of Heavy Metals and Rare Earth Elements, Effects on Cuticle Melanization, and Immunocompetence in the Model Species Tenebrio molitor" Toxics 11, no. 6: 499. https://doi.org/10.3390/toxics11060499

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop