Biotic interactions are often shaped by abiotic factors (Liu and Gaines 2022). Although this notion is not new in ecology and evolutionary biology, we are still far from a thorough understanding of how biotic interactions change along abiotic gradients in space and time. This is particularly challenging because abiotic factors can affect organisms and their interactions in multiple – direct or indirect – ways. For example, because abiotic conditions strongly determine how energy enters biological systems via producers, their effects can propagate through entire food webs, from the bottom to the top (O’Connor 2009, Gilbert et al 2019). Understanding how biological diversity - both within and across species - is shaped by the indirect effects of environmental conditions is a timely question as climate change and anthropogenic activities have been altering temperature and water availability across different ecosystems.

Motivated by the current water crisis and severe droughts predicted for the near future worldwide (du Plessis 2019), Migeon et al. (2023) investigated how water limitation on producers scales up to affect life-history patterns of a widespread crop pest, the spider mite Tetranychus urticae. The authors sampled spider mite populations (n = 12) along a striking gradient of climatic conditions (>16 degrees of latitude) in Europe. After letting mites acclimate to lab conditions for several generations, the authors performed a common garden experiment to quantify how the life-history traits of mite populations from different locations respond to drought stress in their host plants.

Curiously, the authors found that, when reared on drought-stressed plants, mites tended to develop faster, had higher fecundity and lower dispersion rates. This response was in line with some results obtained previously with Tetranychus species (e.g. Ximénez-Embun et al 2016). Importantly, despite some experimental caveats in the experimental design, which makes it difficult to completely disentangle the specific effects of location vs. environmental noise, results suggest the climate that populations originally experienced was also an important determinant of the plastic response in these herbivores. In fact, populations from wetter and colder regions showed a steeper change in drought response, while populations from arid climates showed a shallower response. This interesting result suggests the importance of intraspecific (between-populations) variation in the response to drought, which might be explained by the climatic heterogeneity in space throughout the evolutionary history of different populations. These results become even more important in our rapidly changing world, highlighting the importance of considering genetic variation (and conditions that generate it) when predicting plastic and evolutionary responses to stressful conditions.
 
REFERENCES

du Plessis, A. (2019). Current and Future Water Scarcity and Stress. In: Water as an Inescapable Risk. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-030-03186-2
 
Gibert, J.P. Temperature directly and indirectly influences food web structure. Sci Rep 9, 5312 (2019). https://doi.org/10.1038/s41598-019-41783-0
 
Liu, O. R., & Gaines, S. D. (2022). Environmental context dependency in species interactions. Proceedings of the National Academy of Sciences, 119(36), e2118539119. https://doi.org/10.1073/pnas.2118539119
 
Migeon A., Auger P., Fossati-Gaschignard O., Hufbauer R.A, Miranda M., Zriki G., Navajas M. (2023) The response to drought-stressed host plants varies among herbivorous mite populations from a climate gradient. bioRxiv, 2021.10.21.465244, ver. 4 peer-reviewed and recommended by Peer Community in Zoology. https://doi.org/10.1101/2021.10.21.465244
 
O'Connor, M.I. (2009), Warming strengthens an herbivore-plant interaction. Ecology, 90: 388-398. https://doi.org/10.1890/08-0034.1
 
Ximénez-Embún, M. G., Ortego, F., & Castañera, P. (2016). Drought-stressed tomato plants trigger bottom-up effects on the invasive Tetranychus evansi. PloS one, 11(1), e0145275. https://doi.org/10.1371/journal.pone.0145275

Until now, very little is known about the tail use and functional performance in tail prehensile animals. Luger et al. (2020) are the first to provide explorative observations on trait related modulation of tail use, despite the lack of a sufficiently standardized data set to allow statistical testing. They described whether gap distance, perch diameter, and perch roughness influence tail use and overall locomotor behavior of the species Chamaeleo calyptratus.
Peterson (1984) described already the pattern how and when the tail is moved when bridging the distance from one perch to another. The study by Luger et al. (2020) further explores how this bridging distance, as well as other perch parameters modulate this behavior and the importance of tail use in it. Zippel et al. (1999) study the underlying musculoskeletal anatomy of the tail in chameleons, showing that chameleons have a strikingly different tail anatomy than other prehensile squamates. The difference is (partially) to be seen in the capacity of tail autotomy, that has been lost in chameleons.
Luger et al. (2020) describe the role the tail has in bridging a gap, and show that challenging and acrobatic movements to bridge large gaps, or when grasping on not so rough surfaces, relies heavily on a strong tail. Full body suspension with the tail can explain why tail autotomy has been lost, thus explaining the diverging tail musculature. They speculate on the role of this behavior for sexual selection for males. Sexual selection for males with a higher gripping performance could explain why male chameleons perform better for their size. In addition, boldness could have played a role. The authors state that exploring personality and its links to morphology, performance, and behaviors like grap-bridging would be a worthwhile avenue for future research on sexual selection in reptiles.

References

Luger, A.M., Vermeylen, V., Herrel, A. and Adriaens, D. (2020) Do substrate roughness and gap distance impact gap-bridging strategies in arboreal chameleons? bioRxiv, 2020.08.21.260596, ver. 3 peer-reviewed and recommended by PCI Zoology. doi: https://doi.org/10.1101/2020.08.21.260596
Peterson, J. A. (1984). The locomotion of Chamaeleo (Reptilia: Sauria) with particular reference to the forelimb. Journal of Zoology, 202(1), 1-42. doi: https://doi.org/10.1111/j.1469-7998.1984.tb04286.x
Zippel, K. C., Glor, R. E., and Bertram, J. E. (1999). On caudal prehensility and phylogenetic constraint in lizards: the influence of ancestral anatomy on function in Corucia and Furcifer. Journal of Morphology, 239(2), 143-155. doi: https://doi.org/10.1002/(SICI)1097-4687(199902)239:2%3C143::AID-JMOR3%3E3.0.CO;2-O

Medical and veterinary entomology is a discipline that deals with the role of insects on human and animal health. A primary objective is the identification of vectors that transmit pathogens. This is the aim of Beranek and co-authors in their study [1]. They focus on mosquito vector species responsible for transmission of St. Louis encephalitis virus (SLEV), an arbovirus that circulates in avian species but can incidentally occur in dead end mammal hosts such as humans, inducing symptoms and sometimes fatalities. Culex pipiens quinquefasciatus is known as the most common vector, but other species are suspected to also participate in transmission. Among them Culex saltanensis and Culex interfor have been found to be infected by the virus in the context of outbreaks. The fact that field collected mosquitoes carry virus particles is not evidence for their vector competence: indeed to be a competent vector, the mosquito must not only carry the virus, but also the virus must be able to replicate within the vector, overcome multiple barriers (until the salivary glands) and be present at sufficient titre within the saliva. This paper describes the experiments implemented to evaluate the vector competence of Cx. saltanensis and Cx. interfor from ingestion of SLEV to release within the saliva. Females emerged from field-collected eggs of Cx. pipiens quinquefasciatus, Cx. saltanensis and Cx. interfor were allowed to feed on SLEV infected chicks and viral development was measured by using (i) the infection rate (presence/absence of virus in the mosquito abdomen), (ii) the dissemination rate (presence/absence of virus in mosquito legs), and (iii) the transmission rate (presence/absence of virus in mosquito saliva). The sample size for each species is limited because of difficulties for collecting, feeding and maintaining large numbers of individuals from field populations, however the results are sufficient to show that this strain of SLEV is able to disseminate and be expelled in the saliva of mosquitoes of the three species at similar viral loads. This work therefore provides evidence that Cx saltanensis and Cx interfor are competent species for SLEV to complete its life-cycle. Vector competence does not directly correlate with the ability to transmit in real life as the actual vectorial capacity also depends on the contact between the infectious vertebrate hosts, the mosquito life expectancy and the extrinsic incubation period of the viruses. The present study does not deal with these characteristics, which remain to be investigated to complete the picture of the role of Cx saltanensis and Cx interfor in SLEV transmission. However, this study provides proof of principle that that SLEV can complete it’s life-cycle in Cx saltanensis and Cx interfor. Combined with previous knowledge on their feeding preference, this highlights their potential role as bridge vectors between birds and mammals. These results have important implications for epidemiological forecasting and disease management. Public health strategies should consider the diversity of vectors in surveillance and control of SLEV.

References
[1] Beranek, M. D., Quaglia, A. I., Peralta, G. C., Flores, F. S., Stein, M., Diaz, L. A., Almirón, W. R. and Montigiani, M. S. (2020). Culex saltanensis and Culex interfor (Diptera: Culicidae) are susceptible and competent to transmit St. Louis encephalitis virus (Flavivirus: Flaviviridae) in central Argentina. bioRxiv 722579, ver. 6 peer-reviewed and recommended by PCI Entomology. doi: 10.1101/722579

Insects exhibit a great diversity of life-history traits that often vary not only between species but also between populations of the same species (Flatt and Heyland, 2011). A better understanding of the variation in these traits can be of paramount importance when it comes to species of economic and agricultural interest (Wilby and Thomas, 2002). In particular, the control of the development and expansion of agricultural pests generally requires a good understanding of the parameters that favour the reproduction of these pests and/or the reproduction of the species used to control them (Bianchi et al., 2013; Gäde and Goldsworthy, 2003).

Parasitoid wasps of the genus Trichogramma are a classic example of insects involved in pest control (Smith, 1996). This genus comprises over 200 species worldwide, which have been used to control populations of a wide range of lepidopteran pests since the 1900s (Flanders, 1930; Hassan, 1993). Despite its common use, the egg-laying preference of this genus is only partially known. For example, all Trichogramma species are often thought to have positive phototaxis (or negative geotaxis) (e.g. Brower & Cline, 1984; van Atta et al., 2015), but comprehensive studies simultaneously testing this (or other) parameter among Trichogramma species and populations remain rare.

This is exactly the aim of the present study (Burte et al., 2021). Using a new experimental approach based on automatic image analysis, the authors compared the photo- and geo-tactic oviposition preference among 5 Trichogramma species from 25 populations. Their results first confirm that most Trichogramma species and populations prefer light to shade, and higher to lower positions for oviposition. Interestingly, they also reveal that the levels of preference for light and gravity show inter- and intraspecific variation (probably due to local adaptation to different strata) and that both preferences tend to relax over time.

Overall, this study provides important information for improving the use of Trichogramma species as biological agents. For example, it may help to establish breeding lines adapted to the microhabitat and/or growing parts of plants on which agricultural pests lay eggs most. Similarly, it suggests that the use of multiple strains with different microhabitat selection preferences could lead to better coverage of host plants, as well as a reduction in intraspecific competition in the preferred parts. Finally, this study provides a new methodology to efficiently and automatically study oviposition preferences in Trichogramma, which could be used in other insects with a particularly small size.

References

Bianchi, F. J. J. A., Schellhorn, N. A. and Cunningham, S. A. (2013). Habitat functionality for the ecosystem service of pest control: reproduction and feeding sites of pests and natural enemies. Agricultural and Forest Entomology, 15, 12–23. https://doi.org/10.1111/j.1461-9563.2012.00586.x

Burte V., Perez G., Ayed F., Groussier G., Mailleret L, van Oudenhove L. and Calcagno V. (2021). Up and to the light: intra- and interspecific variability of photo-and geo-tactic oviposition preferences in genus Trichogramma. bioRxiv, 2021.03.30.437671, ver. 4 peer-reviewed and recommended by PCI Zoology. https://doi.org/10.1101/2021.03.30.437671

Brower, J. H. and Cline, L. D. (1984). Response of Trichogramma pretiosum and T. evanescens to Whitelight, Blacklight or NoLight Suction Traps. The Florida Entomologist, 67, 262–268. https://doi.org/10.2307/3493947

Flanders, S. E. (1930). Mass production of egg parasites of the genus Trichogramma. Hilgardia, 4, 465–501. https://doi.org/10.3733/hilg.v04n16p465

Flatt, T. and Heyland, A. (2011). Mechanisms of life history evolution: the genetics and physiology of life history traits and trade-offs. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199568765.001.0001

Gäde, G. and Goldsworthy, G. J. (2003). Insect peptide hormones: a selective review of their physiology and potential application for pest control. Pest Management Science, 59, 1063–1075. https://doi.org/10.1002/ps.755

Hassan, S. A. (1993). The mass rearing and utilization of Trichogramma to control lepidopterous pests: Achievements and outlook. Pesticide Science, 37, 387–391. https://doi.org/10.1002/ps.2780370412

Smith, S. M. (1996). Biological Control with Trichogramma : Advances, Successes, and Potential of Their Use. Annual Review of Entomology, 41, 375–406. https://doi.org/10.1146/annurev.en.41.010196.002111

van Atta, K. J., Potter, K. A. and Woods, H. A. (2015). Effects of UV-B on Environmental Preference and Egg Parasitization by Trichogramma Wasps (Hymenoptera: Trichogrammatidae). Journal of Entomological Science, 50, 318–325. https://doi.org/10.18474/JES15-09.1

Wilby, A. and Thomas, M. B. (2002). Natural enemy diversity and pest control: patterns of pest emergence with agricultural intensification. Ecology Letters, 5, 353–360. https://doi.org/10.1046/j.1461-0248.2002.00331.x

Host-parasitoid interactions have been the focus of extensive ecological research for decades. One the of the major reasons is the importance host-parasitoid interactions play for the biological control of crop pests. Parasitoids are the main natural regulators for a large number of economically important pest insects, and in many cases they could be the only viable crop protection strategy. Parasitoids are also integral part of complex food webs whose structure and diversity display large spatio-temporal variations [1-3]. With the increasing globalization of human activities, the generalized spread and establishment of invasive species is a major cause of disruption in local community and food web spatio-temporal dynamics. In particular, the deliberate introduction of non-native parasitoids as part of biological control programs, aiming the suppression of established, and also highly invasive crop pests, is a common practice with potentially significant, yet poorly understood effects on local food web dynamics (e.g. [4]).
In their study, Muru et al. [5] took advantage of an existing biological control program focusing on the Asian chestnut gall wasp Dryocosmus kuriphilus, an invasive (and highly damaging) pest of chestnut trees. The species is currently a successful invader in many geographic regions, including southern France, where local parasitoid communities failed to provide an adequate control since its widespread establishment in 2010 [6]. In response, the non-native parasitoid species Torymus sinensis, which is highly-specific to the Asian chestnut gall wasp, was massively released in commercial chestnut orchards across several regions in France and the island of Corsica. The pest population outbreak was successfully contained, and thanks to the vast amount of host-parasitoid interaction data collected as part of the program, the authors were able to explore the effects of the large fluctuations in Asian chestnut gall wasp natural abundances on native parasitoid communities, immediately before, and up to five years following the introduction of its natural enemy T. sinensis.
Using co-occurrence and clustering analyses, Muru et al. [5] demonstrate that the invasion and the consecutive (efficient) control of the Asian chestnut gall wasp by the parasitoid T. sinensis have a significant impact on the structure of local parasitoid food webs. In particular, following decline in the Asian chestnut gall wasp’s populations, native parasitoids markedly switched to alternative hosts, most likely due to their respectively higher relative abundances. This pattern seemed to be driven by the degree of generalism in native parasitoid species. Indeed, when its abundances were still relatively high, the Asian chestnut gall wasp was primarily attacked by species capable of exploiting a broad range of hosts, while at low population densities only specialist parasitoids such as Mesolobus sericeus were able to persist and compete with the non-native T. sinensis.
The current study is important for two major reasons. First, it underscores the value of long-term species interaction data in order to understand the dynamic nature of food webs, namely their structural flexibility in response to changes in the environment or, as in this case, large fluctuation in abundances of a major pest species. In this context, biological control programs could be a great source of data for exploring long-term, large-scale dynamics of species interactions, and their use in ecological studies deserves to be further emphasized. Second, the study adds to the increasing empirical evidence that mobile generalist foragers can display adaptive, frequency-dependent switching behaviour ([1], [7]), which has been suggested to act as a key stabilizing mechanism in food webs by buffering fluctuating population dynamics at larger spatial scales ([8- 10]).
However, the timing of such buffering seems important, especially in systems such as commercial chestnut orchards. Despite their capacity to adaptively switch their foraging behaviour, the response of the native parasitoid communities to the new, unfamiliar resource was not fast enough in order to contain the primary outbreak under an appropriate damage threshold, thus requiring the introduction of the more specialized parasitoid T. sinensis. Nevertheless, based on current ecological theory, results presented by Muru et al. [5] suggest that the response of native parasitoid community to fluctuating host dynamics – i.e. shifts in parasitoid foraging behaviour based on their traits – could be predictable. This is encouraging considering the growing impact of biological invasions and insect pest outbreaks, but also the need to implement efficient, yet sustainable strategies for crop protection. Future studies would show at what extent observations by Muru et al. [5] are generalizable over longer time periods or other model systems. Noticeably, better understanding about population dynamics and interactions with the broader community of hosts available across habitats should allow to fine-tune predictions about parasitoids’ response to fluctuating resources.

References

[1] Eveleigh ES, McCann KS, McCarthy PC, Pollock SJ, Lucarotti CJ, Morin B, McDougall GA, Strongman DB, Huber JT, Umbanhowar J, Faria LDB (2007). Fluctuations in density of an outbreak species drive diversity cascades in food webs. Proc. Natl. Acad. Sci. USA 104, 16976-16981. doi: 10.1073/pnas.0704301104
[2] Tylianakis JM, Tscharntke T, Lewis OT (2007). Habitat modification alters the structure of tropical host–parasitoid food webs. Nature 445, 202-205. doi: 10.1038/nature05429
[3] Murakami M, Hirao T, Kasei A (2008). Effects of habitat configuration on host–parasitoid food web structure. Ecol. Res. 23, 1039-1049. doi: 10.1007/s11284-008-0478-0
[4] Geslin B, Gauzens B, Baude M, Dajoz I, Fontaine C, Henry M, Ropars L, Rollin O, Thébault E, Vereecken NJ (2016). Massively introduced managed species and their consequences for plant–pollinator interactions. Adv. Ecol. Res. 57, 147-199. doi: 10.1016/bs.aecr.2016.10.007
[5] Muru D, Borowiec N, Thaon M, Ris N, Viciriuc M I, Warot S, Vercken E (2020) The open bar is closed: restructuration of a native parasitoid community following successful control of an invasive pest. bioRxiv, 2019.12.20.884908, ver. 6 peer-reviewed and recommended by PCI Zoology. doi: 10.1101/2019.12.20.884908
[6] Borowiec N, Thaon M, Brancaccio L, Warot S, Vercken E, Fauvergue X, Ris N, Malausa J-C (2014). Classical biological control against the chestnut gall wasp 'Dryocosmus kuriphilus' (Hymenoptera, Cynipidae) in France. Plant Prot. Q. 29, 7-10.
[7] Bartley TJ, McCann KS, Bieg C, Cazelles K, Granados M, Guzzo MM, MacDougall AS, Tunney TD, McMeans BC (2019). Food web rewiring in a changing world. Nat. Ecol. Evol. 3, 345–354. doi: 10.1038/s41559-018-0772-3
[8] Kondoh M (2003). Foraging adaptation and the relationship between food-web complexity and stability. Science. 299, 1388-1391. doi: 10.1126/science.1079154
[9] McCann KS, Rooney N (2009). The more food webs change, the more they stay the same. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 1789-801. doi: 10.1098/rstb.2008.0273
[10] Valdovinos FS, Ramos-Jiliberto R, garay-Narváez L, Urbani P, Dunne JA (2010). Consequences of adaptive behaviour for the structure and dynamics of food webs. Ecol. Lett. 13, 1546-1559. doi: 10.1111/j.1461-0248.2010.01535.x