From cues to signals: evolution of interspecific communication via aposematism and mimicry in a predator-prey system

The eco-evolutionary dynamics of Batesian mimicry

Batesian mimicry is a strategy in which palatable prey species (mimic-species) resemble unpalatable prey species with aposematism (model-species). Theoretical studies on Batesian mimicry have been conducted in terms of their evolutionary significance and ecological consequences. However, despite the importance of eco-evolutionary feedback, the evolution and population dynamics of mimicry complex have long been explored separately. Previous studies on the dynamics of mimicry complex have proposed the possibility of the extinction of unpalatable species due to high predation by predators confusing palatable and unpalatable species. If the abundance of palatable species was large in comparison with unpalatable species, predation pressure on both unpalatable and palatable species became severe, resulting in the extinction of the unpalatable species. We hypothesized that palatable species evolved not to be similar to unpalatable species when unpalatable species became rare, because this situation is no longer advantageous for palatable species to mimic unpalatable species. Here, we constructed the eco-evolutionary dynamics of unpalatable and palatable species, and demonstrated that the evolutionary process of palatable species, which has been overlooked in previous theoretical studies, could rescue the unpalatable species from extinction. We modeled predators' foraging decisions based on signal detection theory. We assumed that palatable species evolve in a trait space, in which there are separate adaptive peaks on either side of an adaptive valley for mimicry and cryptic phenotypes. Then, we derived the stability conditions of the equilibria. As a result, the evolution of a cryptic phenotype in palatable species was driven when unpalatable species was rare, which mitigated predation pressure on unpalatable species through the reduction in the probability to be attacked. This could work to rescue unpalatable species from extinction.

Digital Evolution for Ecology Research: A Review

In digital evolution, populations of computational organisms evolve via the same principles that govern natural selection in nature. These platforms have been used to great effect as a controlled system in which to conduct evolutionary experiments and develop novel evolutionary theory. In addition to their complex evolutionary dynamics, many digital evolution systems also produce rich ecological communities. As a result, digital evolution is also a powerful tool for research on eco-evolutionary dynamics. Here, we review the research to date in which digital evolution platforms have been used to address eco-evolutionary (and in some cases purely ecological) questions. This work has spanned a wide range of topics, including competition, facilitation, parasitism, predation, and macroecological scaling laws. We argue for the value of further ecological research in digital evolution systems and present some particularly promising directions for further research.

Trait Variation in Moths Mirrors Small-Scaled Ecological Gradients in A Tropical Forest Landscape

Simple Summary

Tropical rainforests are still lost at alarming rates due to timber extraction or conversion into plantations. While losses of species diversity are well documented, less is known about how the functional integrity of insect communities changes with such interventions. Using light-trap samples taken from species-rich moth assemblages in one region in SW Costa Rica, we asked whether the body size of moths and the contribution of warningly colored species change from old-growth forest across disturbed forest toward oil palm plantations. Across three topographic types of old-growth forest, differences were small. Moth species occurring in plantations were substantially smaller than their relatives thriving in natural forest. Similarly, the incidence of warning coloration dropped massively in plantations. Two different types of mimicry (moths imitating wasps or poisonous beetles, respectively) showed their own patterns of variation across ecosystems, yet both color types were very rare in plantations. These results confirm that not only insect species diversity becomes greatly diminished when tropical forests are destroyed: the functional composition and integrity of the insect fauna that remains in plantations is eroding as well.

Abstract

Along environmental gradients, communities are expected to be filtered from the regional species pool by physical constraints, resource availability, and biotic interactions. This should be reflected in species trait composition. Using data on species-rich moth assemblages sampled by light traps in a lowland rainforest landscape in Costa Rica, we show that moths in two unrelated clades (Erebidae-Arctiinae; Geometridae) are much smaller-sized in oil palm plantations than in nearby old-growth forest, with intermediate values at disturbed forest sites. In old-growth forest, Arctiinae predominantly show aposematic coloration as a means of anti-predator defense, whereas this trait is much reduced in the prevalence in plantations. Similarly, participation in Müllerian mimicry rings with Hymenoptera and Lycidae beetles, respectively, is rare in plantations. Across three topographic types of old-growth forests, community-weighted means of moth traits showed little variation, but in creek forest, both types of mimicry were surprisingly rare. Our results emphasize that despite their mobility, moth assemblages are strongly shaped by local environmental conditions through the interplay of bottom–up and top–down processes. Assemblages in oil palm plantations are highly degraded not only in their biodiversity, but also in terms of trait expression.

Stability and bifurcation analysis of a ratio-dependent community dynamics model on Batesian mimicry

Batesian mimicry is the similarity of coloration and patterns in an unpalatable species (the "model-species") and a palatable species (the "mimic-species"). The resemblance is advantageous for the mimic-species because the mimic-species can deceive predators and avoid predation. While Batesian mimicry is an important subject in ecology as a general phenomenon in nature, previous theoretical studies focus mainly on the evolution of mimicry and the predator learning process. In these mathematical models, the population sizes of the model- and mimic-species are not considered explicitly or are assumed to be constant, but this is not plausible in model-mimic community dynamics. Thus, the model-mimic community has been paid relatively less attention; However, to elucidate problems on Batesian mimicry, it is essential to understand the fundamental characteristics of the model-mimic community dynamics. Here, we construct a basic model-mimic community dynamics model, obtain the existence and stability conditions of its equilibria, and conduct the bifurcation analysis and numerical calculation. The results show that the instability of the model-only population is predicted, and this is consistent with the typical pattern of geographical distribution in Batesian mimicry in the field. We propose three new hypotheses to explain the typical pattern of geographical distribution. Furthermore, we reveal an irreversibility regarding the model-mimic coexistence that is important for the conservation of the model- and mimic-species.

Short-term exposure to predation affects body elemental composition, climbing speed and survival ability in Drosophila melanogaster

Factors such as temperature, habitat, larval density, food availability and food quality substantially affect organismal development. In addition, risk of predation has a complex impact on the behavioural and morphological life history responses of prey. Responses to predation risk seem to be mediated by physiological stress, which is an adaptation for maintaining homeostasis and improving survivorship during life-threatening situations. We tested whether predator exposure during the larval phase of development has any influence on body elemental composition, energy reserves, body size, climbing speed and survival ability of adult Drosophila melanogaster. Fruit fly larvae were exposed to predation by jumping spiders (Phidippus apacheanus), and the percentage of carbon (C) and nitrogen (N) content, extracted lipids, escape response and survival were measured from predator-exposed and control adult flies. The results revealed predation as an important determinant of adult phenotype formation and survival ability. D. melanogaster reared together with spiders had a higher concentration of body N (but equal body C), a lower body mass and lipid reserves, a higher climbing speed and improved adult survival ability. The results suggest that the potential of predators to affect the development and the adult phenotype of D. melanogaster is high enough to use predators as a more natural stimulus in laboratory experiments when testing, for example, fruit fly memory and learning ability, or when comparing natural populations living under different predation pressures.

Signals and cues in the evolution of plant-microbe communication

Communication has played a key role in organismal evolution. If sender and receiver have a shared interest in propagating reliable information, such as when they are kin relatives, then effective communication can bring large fitness benefits. However, interspecific communication (among different species) is more prone to dishonesty. Over the last decade, plants and their microbial root symbionts have become a model system for studying interspecific molecular crosstalk. However, less is known about the evolutionary stability of plant-microbe communication. What prevents partners from hijacking or manipulating information to their own benefit? Here, we focus on communication between arbuscular mycorrhizal fungi and their host plants. We ask how partners use directed signals to convey specific information, and highlight research on the problem of dishonest signaling.

The roles of standing genetic variation and evolutionary history in determining the evolvability of anti-predator strategies

Standing genetic variation and the historical environment in which that variation arises (evolutionary history) are both potentially significant determinants of a population's capacity for evolutionary response to a changing environment. Using the open-ended digital evolution software Avida, we evaluated the relative importance of these two factors in influencing evolutionary trajectories in the face of sudden environmental change. We examined how historical exposure to predation pressures, different levels of genetic variation, and combinations of the two, affected the evolvability of anti-predator strategies and competitive abilities in the presence or absence of threats from new, invasive predator populations. We show that while standing genetic variation plays some role in determining evolutionary responses, evolutionary history has the greater influence on a population's capacity to evolve anti-predator traits, i.e. traits effective against novel predators. This adaptability likely reflects the relative ease of repurposing existing, relevant genes and traits, and the broader potential value of the generation and maintenance of adaptively flexible traits in evolving populations.