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Article

Avoidance Behaviour of Six Collembolan Species Shows Species-Specific Sensitivity—Impact of Ag NM300K

by
Marija Kovačević
1,
Mónica J. B. Amorim
2,
Branimir K. Hackenberger
1 and
Janeck J. Scott-Fordsmand
3,*
1
Department of Biology, University of Osijek, Cara Hadrijana 8A, HR 31000 Osijek, Croatia
2
Department of Biology & CESAM, University of Aveiro, 3810-193 Aveiro, Portugal
3
Department of Ecoscience, Aarhus University, C.F. Møllers Alle 3, DK-8000 Aarhus, Denmark
*
Author to whom correspondence should be addressed.
Nanomaterials 2022, 12(19), 3276; https://doi.org/10.3390/nano12193276
Submission received: 27 July 2022 / Revised: 1 September 2022 / Accepted: 20 September 2022 / Published: 21 September 2022

Abstract

:
Although standard testing guidelines use a species as a representative surrogate, species-specific sensitivity is well-known. The aim of this study was to investigate the species-specific difference in avoidance behaviour among Collembola species exposed to silver (Ag) nanomaterials (NM) (Ag NM300K). The avoidance test was performed with Folsomia candida, an international standard species in laboratory tests, and five widely distributed species with different life history traits, commonly used in small multispecies systems (Folsomia fimetaria, Proisotoma minuta, Mesaphorura macrochaeta, Protaphorura fimata and Ceratophysella denticulata). There was higher avoidance in euedaphic species, such as F. candida and F. fimetaria, compared to the epiedaphic species C. denticulata, which showed the least avoidance behaviour. An explanation may be that euedaphic species (living in deeper soil layers) are more directly exposed within the soil pores and have developed a pronounced avoidance behaviour. In contrast, species living on the surface are likely less directly exposed and hence only avoid at higher total concentrations. Additionally, difference in cuticula between the groups, providing different degrees of protection against exposure, can explain the different behaviours. The present results highlight the importance of biodiversity for the ecosystem and raise awareness on species sensitivity.

1. Introduction

Collembola is the most abundant class of soil arthropods, occupying various niches in soil ecosystems [1]. Due to their high morphological and ecological diversity, collembolans can play different roles in soil ecosystems [2]. In addition to their influence on various processes in soil ecosystems, collembolans, especially large surface-dwelling species, are an important food source for a large number of soil invertebrates [1]. Evolution has led to differentiation of roles among species, including different physiologies, life strategies and, perhaps, sensitivities to environmental clues, e.g., in avoiding contaminants in the environment [3]. An inability to avoid hazardous contaminants can obviously lead to higher risk for population extension [4,5]. Therefore, in addition to survival, reproduction and various molecular biomarkers, it is important to determine the effect of individual substances on avoidance behaviour.
Due to their widespread use, nanomaterials (NMs) are among the contaminants that are increasing in the ecosystem. Soils and terrestrial ecosystems are some of the main sinks for NMs [6], and NMs may affect non-target organisms in soil. Silver nanomaterials (AgNM) are widely used and have well known inherent toxicity (e.g., anti-microbial). AgNM are particularly important for medicine and cosmetics, but also for industries such as electronics, packaging or textiles and plastics manufacturing [7]. However, when released from consumer products during usage and at the end of their life [8,9,10], AgNM pose a direct threat to soil ecosystems and their inhabitants. Other studies have shown that AgNM can be detected and avoided by soil invertebrates, e.g., earthworms [11]. However, it is not known whether collembolans can avoid NM300K.
Various ecotoxicological tests are used to assess the toxicity of AgNM in soil organisms [12,13,14,15]. The ecotoxicological effects of AgNM on soil arthropods have been less studied than other soil organisms. The few studies that exist show negative effects, e.g., on reproduction and induction on various molecular biomarkers [16,17,18,19]. The species used in the standardised guidelines are very important and good representatives, although they do not cover the wide diversity among collembolans. Therefore, it is important to assess the impact of stressors on more species, and very few studies cover this aspect. One of the few examples of different species being tested is the Soil Multispecies Test System (SMS), which uses multiple species in a mesocosm [18,20,21,22,23].
The avoidance test is an important ISO test [24] and is commonly used for the collembolan Folsomia candida in relation to chemical hazard assessment. Traditionally, individual species, such as F. candida, are used as a representative of the many other species of collembolans, but it is clear that there are important differences between species, likely also in avoidance behaviour. Avoidance behaviour may vary between species due to differences in morphological, physiological and behavioural characteristics, in addition to differences in exposures. For example, some collembolan species forage in a distance up to 40 cm [25,26], while other species can forage up to several hundred metres [27]; moreover, some species live on the surface, while others live at various depths/fractions in the soil layers, i.e., epi-, hemi- and euedaphics, which depends on their morphology and physiology.
Considering this, the present study aimed to fill a knowledge gap and assess the species-specific avoidance behaviour of springtails towards Ag NM300K, a reference AgNM [28]. In addition to F. candida, a standard species in laboratory tests, five other species with different life history characteristics commonly used in SMS were used.

2. Materials and Methods

2.1. Test Organisms

Six collembolan species were used: Folsomia candida, Folsomia fimetaria, Proisotoma minuta, Mesaphorura macrochaeta, Protaphorura fimata and Ceratophysella denticulata (Figure 1, Table 1). The animals were maintained in culture on a moist substrate plaster of Paris and activated charcoal under controlled conditions (19 ± 1 °C, 16:8 (light:dark) photoperiod). The organisms were fed with dried baker’s yeast once a week.
Adult organisms from each species were transferred on fresh substrate for egg laying. After 10 days, eggs were carefully collected, moved to egg paper and placed in fresh substrate. Two days after the start of hatching, the egg paper was removed, ensuring the same age of the juveniles. Juveniles (10–12 days old) were collected by suction and released into a small container with moist substrate (20 per replicate) to check their physical condition under the stereomicroscope (injured animals were disposed).

2.2. Test Soil

The standard natural soil LUFA 2.2 (LUFA Speyer, Speyer, Germany) was used. The main characteristics of the soil are a pH of 5.5 (0.01 M CaCl2), a cation exchange capacity (CEC) of 10.1 meq/100 g, 1.77% organic matter, a maximum water holding capacity (WHC) of 45.8%, and a grain size distribution of 7.3% clay, 13.8% slit and 78.9% sand. Prior to beginning the experiment, the soil was dried at 80 °C.

2.3. Test Material and Spiking

The standard reference nanomaterial Ag NM300K from JRC (Joint Research Centre, Ispra, Italy) was used [28]. In a short, a nominal silver content of 10.16% w/w was dispersed in 4% w/w polyoxyethylene glycerol trioleate and polyoxyethylene sorbitan mono-laurat (Tween 20). Ag NM300K were spherical particles without a coating, with 99% of particles having a nominal size of about 15 nm.
Spiking was performed via aqueous dilutions of Ag NM300K, added individually to each replicate of pre-moistened soil (25% w/w). The Ag NM300K was homogeneously mixed into the soil, and the remaining water needed to reach 50% WHC was added. The soil equilibrated for 24 h before the start of the test. The tested concentrations were 0, 5, 12.5, 25, 50, 75, 100, 150, 200, 400, 600 and 800 mg Ag NM300 K/kg soil DW (dry weight), after an initial optimization pre-test step.

2.4. Materials Characterization

Silver concentrations were measured in the soil samples with flame atomic absorption spectroscopy (AAS, Perkin Elmer 4100, Ueberlingen, Germany). The soil was prepared following the procedure of Scott-Fordsmand et al. [29]. Detailed characterization of the particles can be found in [28].

2.5. Experimental Procedure

The avoidance test was conducted according to the standardised ISO guideline [24]. Round plastic boxes (Ø 8 cm × 5 cm) with a removable barrier were used to divide them into two equal parts. One test compartment was filled with 30 g of control soil and the other with 30 g of spiked soil. After adding the soil, the plastic barrier was carefully removed. At the contact line between the two compartments, 20 synchronized age organisms were introduced. An ECx design was carried out, i.e., a high number of treatments (12) and one replicate. The test was conducted for 48 h under controlled conditions (20 ± 1 °C, 16:8 h light:dark). At the end of the exposure period, the barrier was reinserted to separate the soil. The vessel was flooded with water, and the animals floated on the surface and were counted on each side. Each species was tested separately.

2.6. Data Analysis

The percentage of avoidance behaviour (A) was calculated as the difference between the number of organisms in the control soil (C) and the spiked soil (T) divided by the total number of organisms per replicate (N) (% A = ((C − T)/N) × 100). The avoidance effect concentrations (ECx) were calculated using the four-parameter logistic model were performed using data package drc [30] in the statistical software R 3.4.0 (R Core Team, Vienna, Austria) [31,32]. The species sensitivity distributions (SSDs) and the 5% hazard concentration (HC5) calculations were conducted using package ssd tools and log normal distribution, and were based on the EC10.

3. Results

The background level of Ag in LUFA 2.2 soil (control) was below the detection limit (0.005 mg Ag/kg), and the spike confirmed. The pH did not change significantly between tested concentrations and was 5.6 ± 0.1 (AV ± SD).
No mortality was observed during the avoidance test, and 100% of the animals were recovered. Controls showed a random distribution of animals on each side, excluding the possibility of aggregation tendency observed in some species or other artefacts. Exposure to Ag NM300K elicited a response in all tested species (Figure 2). The estimated avoidance effect concentrations (ECx) (Table 2) showed the differences in avoidance behaviour between tested species.
Based on the above EC10 values, the calculated species sensitivity distribution (SSD) (Figure 3) and HC5 for the collembolan species was 0.39 (0.13–1.62) mg Ag/kg (r2 = 0.79).

4. Discussion

All tested collembolan species showed the ability to avoid Ag NM300K. The avoidance was in the same concentration range as observed for Ag NM300K in earthworms [11]. The shape of the SSD curve did not indicate an obvious species deviating in sensitivity. Many characteristics may be related to avoidance behaviour following exposure to contaminants, with habitat being an obvious determinant as it relates to morphology, physiology, feeding preference, exposure regimes, etc. One trait, the furca, has been considered a route of uptake for contaminants [33]. In the present study, we see that the furca trait matched with differences in avoidance behaviour, although this is not entirely clear. The highest avoidance behaviour (i.e., lowest EC10) was observed in F. candida and F. fimetaria, euedaphic species of the Isotomidae family that have a well-developed furca. These results are consistent with previous studies that identify F. candida as a metal-sensitive species [33]. This group mainly includes small species that reside in the soil with a larger surface ratio (size vs. surface), and they interact directly with the soil through feeding and soil pore water [34]. These species usually have complex post-antennal and antennal organs, which may play an important role in chemoreception [35]. If the furca is an important route of exposure, it makes sense that for species with reduced locomotor organs, i.e., furca, legs are less sensitive. The tested euedapic Onychiurinae family (M. macrochaeta and P. fimata), which are without furca, were characterised by lower avoidance behaviour (i.e., higher EC10) compared to the two other euedaphic species tested. M. macrochaeta was the smallest of all tested species, which could be the reason why it was more sensitive than P. fimata, the latter of which does not jump when disturbed, but rather curls up [36]. It is noticeable that M. macrochaeta has a flatter concentration–response curve compared to the other species (i.e., a larger difference between EC10 and EC50); the reason for this is unknown to us. Although the outer cuticle is less likely to be a major route of AgNM uptake, it is worthwhile remembering that eu-, hemi- and epiedaphic species may all differ in the cuticle structure, e.g., with euedaphic species having secondary granules and others not having them [37]. The hemiedaphic species P. minuta, which is associated with the upper litter layers and the soil surface [38] and with well-developed furca, could be sensitive because of the furca. Hence, as with the other species with furca, if they can detect a contaminant faster, they can better avoid direct exposure compared to species that do not have furca. Therefore, they would perhaps have less evolutionary pressure to develop internal defence mechanisms. The epiedaphic species C. denticulata, a large-bodied surface-dweller showed the least avoidance behaviour, i.e., the highest EC10. This is probably the result of high metal tolerance [39] and lower exposure to AgNM due to living on the soil surface [33]. Finally, the avoidance observed in the NM300K exposures could potentially be directly related to the concentration of NM300K or dissolved Ag, either through dissolution of NM300K to release “free Ag” ions, or the release of Ag(I) bound to the dispersant in the original NM300K [40,41].

5. Conclusions

Silver NM300K induced avoidance behaviour in all tested collembolan species. Although not conclusive, it seemed that euedaphic species exhibited more pronounced avoidance behaviour than the epiedaphic species, with the hemiedaphic species ranging somewhere in between. We speculate that this is due to the greater exposure of organisms, e.g., via the furca. From a hazard assessment perspective, it is clear that a single avoidance test with F. candida (the standard test species) does not represent the many important collembolan species. Although it was the most sensitive species, we observed a species-specific avoidance behaviour, which ranged over a factor of 50, i.e., from 0.46 to 28 mg Ag/kg with an HC5 of approximately 0.39 mg Ag/kg. The present results confirm the importance of preserving biodiversity and that, although large efforts have been made in the past for ecotoxicology with standardized guidelines and representative species, we are currently aware of the limitations. To ensure environmental sustainability, improvements are necessary and possible; indeed, one of the most important is to increase the ecological relevance, e.g., widening the species coverage.

Author Contributions

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

Funding

This study was supported by the European Commission Project NANORIGO (H2020-NMBP-13-2018, GA No. 814530) and NanoInformaTIX (H2020-NMBP-14-2018, GA No. 814426). Further support was given by FCT/MCTES through national funds (PIDDAC), and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020 via CESAM (UIDB/50017/2020 + UIDP/50017/2020 + LA/P/0094/2020). Marija Kovačević received a grant from the Croatian Science Foundation (HrZZ) in the framework of the “Young Researcher’s Career Development Project—Training of Dostoral Students” (DOK-2018-01-4257).

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

References

  1. Hopkin, S.P. Biology of the Springtails (Insecta: Collembola); Oxford University Press: New York, NY, USA, 1997; p. 341. [Google Scholar]
  2. Potapov, A.M.; Semenina, E.E.; Korotkevich, A.Y.; Kuznetsova, N.A.; Tiunov, A.V. Connecting taxonomy and ecology: Trophic niches of collembolans as related to taxonomic identity and life forms. Soil Biol. Biochem. 2016, 101, 20–31. [Google Scholar] [CrossRef]
  3. Potapov, A.; Bellini, B.; Chown, S.; Deharveng, L.; Janssens, F.; Kováč, Ľ.; Kuznetsova, N.; Ponge, J.-F.; Potapov, M.; Querner, P.; et al. Towards a global synthesis of Collembola knowledge: Challenges and potential solutions. Soil Org. 2020, 92, 161–188. [Google Scholar] [CrossRef]
  4. Heupel, K. Avoidance response of different collembolan species to Betanal. Eur. J. Soil Biol. 2002, 38, 273–276. [Google Scholar] [CrossRef]
  5. Ockleford, C.; Adriaanse, P.; Berny, P.; Brock, T.; Duquesne, S.; Grilli, S.; Hernandez-Jerez, A.F.; Bennekou, S.H.; Klein, M.; Kuhl, T.; et al. Scientific opinion addressing the state of the science on risk assessment of plant protection products for in-soil organisms. EFSA J. 2017, 15, e04690. [Google Scholar] [CrossRef]
  6. Gottschalk, F.; Lassen, C.; Kjoelholt, J.; Christensen, F.; Nowack, B. Modeling flows and concentrations of nine engineered nanomaterials in the Danish environment. Int. J. Environ. Health Res. 2015, 12, 5581–5602. [Google Scholar] [CrossRef]
  7. Schlich, K.; Hoppe, M.; Kraas, M.; Fries, E.; Hund-Rinke, K. Ecotoxicity and fate of a silver nanomaterial in an outdoor lysimeter study. Ecotoxicology 2017, 26, 738–751. [Google Scholar] [CrossRef]
  8. Geranio, L.; Heuberger, M.; Nowack, B. The Behaviour of silver nanotextiles during washing. Environ. Sci. Technol. 2009, 43, 8113–8118. [Google Scholar] [CrossRef]
  9. Kaegi, R.; Sinnet, B.; Zuleeg, S.; Hagendorfer, H.; Mueller, E.; Vonbank, R.; Boller, M.; Burkhardt, M. Release of silver nanoparticles from outdoor facades. Environ. Pollut. 2010, 158, 2900–2905. [Google Scholar] [CrossRef]
  10. Cleveland, D.; Long, S.E.; Pennington, P.L.; Cooper, E.; Fulton, M.H.; Scott, G.I.; Brewer, T.; Davis, J.; Petersen, E.J.; Wood, L. Pilot estuarine mesocosm study on the environmental fate of Silver nanomaterials leached from consumer products. Sci. Total Environ. 2012, 421, 267–272. [Google Scholar] [CrossRef]
  11. Mariyadas, J.; Amorim, M.J.; Jensen, J.; Scott-Fordsmand, J.J. Earthworm avoidance of silver nanomaterials over time. Environ. Pollut. 2018, 239, 751–756. [Google Scholar] [CrossRef]
  12. Gomes, S.I.; Scott-Fordsmand, J.J.; Amorim, M.J. Cellular energy allocation to assess the impact of nanomaterials on soil invertebrates (Enchytraeids): The effect of Cu and Ag. Int. J. Environ. Health Res. 2015, 12, 6858–6878. [Google Scholar] [CrossRef]
  13. Gomes, S.I.; Roca, C.P.; Scott-Fordsmand, J.J.; Amorim, M.J. High-throughput transcriptomics reveals uniquely affected pathways: AgNPs, PVP-coated AgNPs and Ag NM300K case studies. Environ. Sci. Nano 2017, 4, 929–937. [Google Scholar] [CrossRef]
  14. Bicho, R.C.; Santos, F.C.; Scott-Fordsmand, J.J.; Amorim, M.J. Multigenerational effects of copper nanomaterials (CuONMs) are different of those of CuCl2: Exposure in the soil invertebrate Enchytraeus crypticus. Sci. Rep. 2017, 7, 8457. [Google Scholar] [CrossRef] [PubMed]
  15. Gomes, S.I.L.; Scott-Fordsmand, J.J.; Amorim, M.J.B. Alternative test methods for (nano)materials hazards assessment: Challenges and recommendations for regulatory preparedness. Nano Today 2021, 40, 101242. [Google Scholar] [CrossRef]
  16. Waalewijn-Kool, P.L.; Klein, K.; Forniés, R.M.; van Gestel, C.A. Bioaccumulation and toxicity of silver nanoparticles and silver nitrate to the soil arthropod Folsomia candida. Ecotoxicology 2014, 23, 1629–1637. [Google Scholar] [CrossRef]
  17. Mendes, L.A.; Maria, V.L.; Scott-Fordsmand, J.J.; Amorim, M.J. Ag nanoparticles (Ag NM300K) in the terrestrial environment: Effects at population and cellular level in Folsomia candida (Collembola). Int. J. Environ. Health Res. 2015, 12, 12530–12542. [Google Scholar] [CrossRef]
  18. Mendes, L.A.; Maria, V.L.; Scott-Fordsmand, J.J.; Amorim, M.J. Multigenerational exposure of Folsomia candida to silver: Effect of different contamination scenarios (continuous versus pulsed and recovery). Sci. Total Environ. 2018, 631, 326–333. [Google Scholar] [CrossRef]
  19. Hlavkova, D.; Beklova, M.; Kopel, P.; Havelkova, B. Effects of silver nanoparticles and ions exposure on the soil invertebrates Folsomia candida and Enchytraeus crypticus. Bull. Environ. Contam. Toxicol. 2020, 105, 244–249. [Google Scholar] [CrossRef]
  20. Scott-Fordsmand, J.J.; Maraldo, K.; van den Brink, P.J. The toxicity of copper contaminated soil using a gnotobiotic Soil Multi-species Test System (SMS). Environ. Int. 2008, 34, 524–530. [Google Scholar] [CrossRef]
  21. Jensen, J.; Scott-Fordsmand, J.J. Ecotoxicity of the veterinary pharmaceutical ivermectin tested in a soil multi-species (SMS) system. Environ. Pollut. 2012, 171, 133–139. [Google Scholar] [CrossRef]
  22. Schnug, L.; Jensen, J.; Scott-Fordsmand, J.J.; Leinaas, H.P. Toxicity of three biocides to springtails and earthworms in a soil multi-species (SMS) test system. Soil Biol. Biochem. 2014, 74, 115–126. [Google Scholar] [CrossRef]
  23. Sechi, V.; D’Annibale, A.; Maraldo, K.; Johansen, A.; Bossi, R.; Jensen, J.; Krogh, P.H. Species composition of a soil invertebrate multi-species test system determines the level of ecotoxicity. Environ. Pollut. 2014, 184, 586–596. [Google Scholar] [CrossRef]
  24. ISO 17512-2:2011; International Standard Determining the Quality of Soils and Effects of Chemicals on Behaviour. Part2: Test with Collembolans (Folsomia candida). International Organization for Standardization: Geneve, Switzerland, 2011.
  25. Erktan, A.; Or, D.; Scheu, S. The physical structure of soil: Determinant and consequence of trophic interactions. Soil Biol. Biochem. 2020, 148, 107876. [Google Scholar] [CrossRef]
  26. Salmon, S.; Rebuffat, S.; Prado, S.; Sablier, M.; D’Haese, C.; Sun, J.-S.; Ponge, J.-F. Chemical communication in springtails: A review of facts and perspectives. Biol. Fertil. 2019, 55, 425–438. [Google Scholar] [CrossRef]
  27. Hagvar, S. Navigation and behaviour of four Collembola species migrating on the snow surface. Pedobiologia 2000, 44, 221–233. [Google Scholar] [CrossRef]
  28. Klein, C.L.; Comero, S.; Stahlmecke, B.; Romazanov, J.; Kuhlbusch, T.A.J.; Doren, E.; Van Mast, P.D.T.J.; Wick, P.; Krug, H.; Locoro, G.; et al. NM-Series of Representative Manufactured Nanomaterials nm-300 Silver Characterisation, Stability, Homogeneity; EUR—Scientific and Technical Research Reports, JRC Publication 2011. No. JRC60709, EUR; Publications Office of the European Union: Luxembourg, 2011. [Google Scholar] [CrossRef]
  29. Scott-Fordsmand, J.J.; Weeks, J.M.; Hopkin, S.P. Importance of contamination history for understanding toxicity of copper to earthworm Eisenia fetida (Oligochaeta: Annelida), using neutral-red retention assay. Environ. Toxicol. Chem. 2000, 19, 1774–1780. [Google Scholar] [CrossRef]
  30. Ritz, C.; Strebig, J. Package ‘drc’: Analysis of Dose-Response Curves, Version 2.5-12. 2015. Available online: https://cran.r-project.org/web/packages/drc/drc.pdf (accessed on 1 June 2022).
  31. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2022; Available online: https://www.R-project.org/ (accessed on 1 June 2022).
  32. R Studio Team. RStudio: Integrated Development for R; RStudio, Inc.: Boston, MA, USA, 2022; Available online: http://www.rstudio.com (accessed on 1 June 2022).
  33. Fountain, M.T.; Hopkin, S.P. A comparative study of the effects of metal contamination on Collembola in the field and in the laboratory. Ecotoxicology 2004, 13, 573–587. [Google Scholar] [CrossRef]
  34. Song, L.; Liu, J.; Yan, X.; Chang, L.; Wu, D. Euedaphic and hemiedaphic Collembola suffer larger damages than epedaphic species to nitrogen input. Environ. Pollut. 2016, 208, 413–415. [Google Scholar] [CrossRef] [PubMed]
  35. Filser, J.; Wittmann, R.; Lang, A. Response types in Collembola towards copper in the microenvironment. Environ. Pollut. 2000, 107, 71–78. [Google Scholar] [CrossRef]
  36. Joseph, S.V.; Bettiga, C.; Ramirez, C.; Soto-Adames, F.N. Evidence of Protaphorura fimata (Collembola: Poduromorpha: Onychiuridae) feeding on germinating lettuce in the Salinas Valley of California. J. Econ. Entomol. 2015, 108, 228–236. [Google Scholar] [CrossRef] [PubMed]
  37. Nickerl, J.; Helbig, R.; Schulz, H.J.; Werner, C.; Neinhuis, C. Diversity and potential correlations to the function of Collembola cuticle structures. Zoomorphology 2013, 132, 183–195. [Google Scholar] [CrossRef]
  38. Holmstrup, M.; Slotsbo, S.; Rozsypal, J.; Henriksen, P.G.; Bayley, M. Accumulation of free amino acids during exposure to drought in three springtail species. J. Insect Physiol. 2015, 82, 114–121. [Google Scholar] [CrossRef]
  39. Cole, L.J.; McCracken, D.I.; Foster, G.N.; Aitken, M.N. Using Collembola to assess the risks of applying metal-rich sewage sludge to agricultural land in western Scotland. Agric. Ecosyst. Environ. 2001, 83, 177–189. [Google Scholar] [CrossRef]
  40. Köser, J.; Engelke, M.; Hoppe, M.; Nogowski, A.; Filser, J.; Thöming, J. Predictability of silver nanoparticle speciation and toxicity in ecotoxicological media. Environ. Sci. Nano 2017, 4, 1470–1483. [Google Scholar] [CrossRef]
  41. Kleiven, M.; Rossbach, L.M.; Gallego-Urrea, J.A.; Brede, D.A.; Oughton, D.H.; Coutris, C. Characterizing the behavior, uptake, and toxicity of NM300K silver nanoparticles in Caenorhabditis elegans. Environ. Toxicol. Chem. 2018, 37, 1799–1810. [Google Scholar] [CrossRef]
Figure 1. Collembolan species used in the avoidance test: Folsomia candida (A), Folsomia fimetaria (B), Proisotoma minuta (C), Mesaphorura macrochaeta (D), Protaphorura fimata (E) and Ceratophysella denticulata (F).
Figure 1. Collembolan species used in the avoidance test: Folsomia candida (A), Folsomia fimetaria (B), Proisotoma minuta (C), Mesaphorura macrochaeta (D), Protaphorura fimata (E) and Ceratophysella denticulata (F).
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Figure 2. Avoidance behaviour for the different collembolan species when exposed to Ag NM300K (mg Ag NM300K/Kg soil DW) in LUFA 2.2 soil. Solid line represents the fitted model, the light section is the 95% confidence interval.
Figure 2. Avoidance behaviour for the different collembolan species when exposed to Ag NM300K (mg Ag NM300K/Kg soil DW) in LUFA 2.2 soil. Solid line represents the fitted model, the light section is the 95% confidence interval.
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Figure 3. Species sensitivity distribution (SSD) based on chronic avoidance toxicity values (EC10) of six collembolan species exposed to Ag NM300K in LUFA 2.2 soil. Solid line represents the fitted log normal model, the grey section is the 95% confidence interval, and the dashed line represents hazardous concentrations for 5% of collembolan species (HC5).
Figure 3. Species sensitivity distribution (SSD) based on chronic avoidance toxicity values (EC10) of six collembolan species exposed to Ag NM300K in LUFA 2.2 soil. Solid line represents the fitted log normal model, the grey section is the 95% confidence interval, and the dashed line represents hazardous concentrations for 5% of collembolan species (HC5).
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Table 1. Morphological and ecological traits of the collembolan species used in the avoidance test.
Table 1. Morphological and ecological traits of the collembolan species used in the avoidance test.
SpeciesFamilyLength (mm)HabitatFurca
Folsomia candidaIsotomidae1.5–2.2euedaphicwell developed
Folsomia fimetariaIsotomidae0.8–1.3euedaphicwell developed
Proisotoma minutaIsotomidae1–1.2hemiedaphicwell developed
Mesaphorura macrochaetaOnychiuridae0.6–0.8euedaphicwithout
Protaphorura fimataOnychiuridae0.7–1.4euedaphicwithout
Ceratophysella denticulataHypogastruridae0.9–2.1epiedaphicwell developed
Table 2. Avoidance effect concentrations (ECx, mg Ag NM300K/Kg soil DW) for the different collembolan species when exposed to Ag NM300K in LUFA 2.2 soil (95% confidence intervals).
Table 2. Avoidance effect concentrations (ECx, mg Ag NM300K/Kg soil DW) for the different collembolan species when exposed to Ag NM300K in LUFA 2.2 soil (95% confidence intervals).
SpeciesEC10EC50SpHabitat
Preference
Folsomia
candida
0.46
(0.1–0.9)
12
(8–16)
0.67
(0.74–0.59)
<0.0000euedaphic
Folsomia
fimentaria
2.3
(0.5–5)
25
(14–36)
1.06
(1.11–1.05)
0.0014euedaphic
Proisotoma
minuta
3
(3–6)
15
(7–22)
0.75
(0.84–0.63)
0.0012hemiedaphic
Mesaprophorura
macrochaeta
3
(2–8)
135
(67–202)
0.57
(0.66–0.45)
0.0009euedaphic
Protaphorura
fimata
8
(5.5–10)
36
(31–41)
1.46
(1.57–1.34)
0.0000euedaphic
Ceratophysella
denticulate
28
(18–38)
171
(146–196)
1.22
(1.34–1.11)
<0.0000epiedaphic
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MDPI and ACS Style

Kovačević, M.; Amorim, M.J.B.; Hackenberger, B.K.; Scott-Fordsmand, J.J. Avoidance Behaviour of Six Collembolan Species Shows Species-Specific Sensitivity—Impact of Ag NM300K. Nanomaterials 2022, 12, 3276. https://doi.org/10.3390/nano12193276

AMA Style

Kovačević M, Amorim MJB, Hackenberger BK, Scott-Fordsmand JJ. Avoidance Behaviour of Six Collembolan Species Shows Species-Specific Sensitivity—Impact of Ag NM300K. Nanomaterials. 2022; 12(19):3276. https://doi.org/10.3390/nano12193276

Chicago/Turabian Style

Kovačević, Marija, Mónica J. B. Amorim, Branimir K. Hackenberger, and Janeck J. Scott-Fordsmand. 2022. "Avoidance Behaviour of Six Collembolan Species Shows Species-Specific Sensitivity—Impact of Ag NM300K" Nanomaterials 12, no. 19: 3276. https://doi.org/10.3390/nano12193276

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