Annual Review of Entomology - Early Publication

In the last few decades, we have witnessed the emergence of new vector-borne diseases (VBDs), the globalization of endemic VBDs, and the urbanization of previously rural VBDs. Data harmonization forms the basis of robust decision-support systems designed to protect at-risk communities from VBD threats. Strong interdisciplinary partnerships, protocols, digital infrastructure, and capacity-building initiatives are essential for facilitating the coproduction of robust multisource data sets. This review provides a foundation for researchers and practitioners embarking on data harmonization efforts to (a) better understand the links among environmental degradation, climate change, socioeconomic inequalities, and VBD risk; (b) conduct risk assessments, health impact attribution, and projection studies; and (c) develop robust early warning and response systems. We draw upon best practices in harmonizing data for two well-studied VBDs, dengue and malaria, and provide recommendations for the evolution of research and digital technology to improve data harmonization for VBD risk management.

Animal venoms are a focus of research due to the hazards they represent and to their relationship to evolution and ecology, pharmacology, biodiscovery, and biotechnology. Venoms have evolved multiple times in Lepidoptera, mostly as defensive adaptations that protect the larval life stages. While venoms are always produced in structures derived from cuticle and setae, they are diverse in their composition and bioactivity, reflecting their multiple evolutionary origins. The most common result of envenomation by lepidopterans is pain and inflammation, but envenomation by some species causes fatal hemorrhagic syndromes or chronic inflammatory conditions in humans or veterinary pathologies such as equine amnionitis and fetal loss. The handful of lepidopteran venom toxins that have been characterized includes coagulotoxins from Lonomia obliqua (Saturniidae) and pain-causing cecropin-like peptides from Doratifera vulnerans (Limacodidae). However, our knowledge of lepidopteran venoms remains comparatively poor, with further studies required to yield a clear picture of the evolution, composition, and function of venoms produced by Lepidoptera.

Mosquito-borne diseases, such as dengue and malaria, pose a significant burden to global health. Current control strategies with insecticides are only moderately effective. Scalable solutions are needed to reduce the transmission risk of these diseases. Symbionts and genome engineering–based mosquito control strategies have been proposed to address these problems. Bacterial, fungal, and viral symbionts affect mosquito reproduction, reduce mosquito lifespan, and block pathogen transmission. Field tests of endosymbiont Wolbachia-based methods have yielded promising results, but there are hurdles to overcome due to the large-scale rearing and accurate sex sorting required for Wolbachia-based suppression approaches and the ecological impediments to Wolbachia invasion in replacement approaches. Genome engineering–based methods, in which mosquitoes are genetically altered for the modification or suppression of wild populations, offer an additional approach for control of mosquito-borne diseases. In particular, the use of gene drive alleles that bias inheritance in their favor is a potentially powerful approach. Several drives are frequency dependent, potentially giving them broadly similar population dynamics to Wolbachia. However, public acceptance and the behavior of released drives in natural mosquito populations remain challenges. We summarize the latest developments and discuss the knowledge gaps in both symbiont- and gene drive–based methods.

The past decade has seen the availability of insect genomic data explode, with mitochondrial (mt) genome data seeing the greatest growth. The widespread adoption of next-generation sequencing has solved many earlier methodological limitations, allowing the routine sequencing of whole mt genomes, including from degraded or museum specimens and in parallel to nuclear genomic projects. The diversity of available taxa now allows finer-scale comparisons between mt and nuclear phylogenomic analyses; high levels of congruence have been found for most orders, with some significant exceptions (e.g., Odonata, Mantodea, Diptera). The evolution of mt gene rearrangements and their association with haplodiploidy have been tested with expanded taxonomic sampling, and earlier proposed trends have been largely supported. Multiple model systems have been developed based on findings unique to insects, including mt genome fragmentation (lice and relatives) and control region duplication (thrips), allowing testing of hypothesized evolutionary drivers of these aberrant genomic phenomena. Finally, emerging research topics consider the contributions of mt genomes to insect speciation and habitat adaption, with very broad potential impacts. Integration between insect mt genomic research and other fields within entomology continues to be our field's greatest opportunity and challenge.

Structurally diverse queen pheromones and fertility signals regulate the reproductive division of labor of social insects, such as ants, termites, some bees, and some wasps. The independent evolution of sociality in these taxa allows for the exploration of how natural history differences in sender and receiver properties led to the evolution of these complex communication systems. While describing the different effects and the structural diversity of queen pheromones, we identify two major syndromes that mostly separate ants and wasps from bees and termites in their use of different pheromone classes. We compare olfactory receptor evolution among these groups and review physiological and hormonal links to fecundity and pheromone production. We explore the cases in which queen pheromone evolution is conserved, convergent, or parallel and those in which queen pheromone responses are more likely to be learned or innate. More mechanistic information about the pathways linking fecundity to queen pheromone production and perception could help close major knowledge gaps.

Exocrine glands release a secretion to the body surface or into a lumen and are likely to be found in all insect taxa. Their secretions are diverse, serving many physiological, behavioral, and defensive functions. Much research has characterized gland structure and secretion identity and function, but little research has attempted to understand how these glands work to release secretion amounts in a timescale appropriate to function: How are some (e.g., physiological) secretions released in small amounts over long times, while others (e.g., defense) are released in large amounts infrequently? We describe a qualitative model, comprising intracellular, extracellular, and external compartments for secretion storage; rates of movement of secretion from one compartment to the next; physicochemical properties of secretions; and controlling behaviors, which may explain the release dynamics of secretions from these glands. It provides a template for quantitative dynamic studies investigating the operation, control, release, and biomimicry of exocrine glands.

Integrated pest management (IPM) is an educated and systematic effort to use multiple control techniques to reduce pest damage to economically acceptable levels while minimizing negative environmental impacts. Although its benefits are widely acknowledged, IPM is not universally practiced by farmers. Potato farming, which produces one of the most important staple crops in the world, provides a good illustration of the issues surrounding IPM adoption. Potatoes are attacked by a complex of insect pests that can inflict catastrophic crop losses. Potato production has gone through the processes of consolidation and intensification, which are linked to increased pest problems, particularly selection for insecticide-resistant pest populations. While use of insecticides remains the most common method of pest control in potatoes, other techniques, including crop rotation and natural enemies, are also available. In addition, there are effective monitoring techniques for many potato pests. However, reliable economic thresholds are often lacking. Potato ecosystems are complex and diverse; therefore, the knowledge necessary for developing ecologically based pest management is not easily obtained or transferable. Furthermore, potato systems change with the arrival of new pest species and the evolution of existing pests. Modern technological advances, such as remote sensing and molecular biotechnology, are likely to improve potato IPM. However, these tools are not going to solve all problems. IPM is not just about integrating different techniques; it is also about integrating the efforts and concerns of all stakeholders. The collaboration of farmers and scientists in agricultural research is needed to foster the development of IPM systems that are appropriate for grower implementation and thus more likely to be adopted. Additional emphasis also needs to be placed on the fact that not only does IPM decrease degradation of the environment, but it also improves the economic well-being of its practitioners.