Insects

A parasitic mite of honey bee brood (Tropilaelaps mercedesae), is spreading through populations of Apis mellifera honey bees in new regions and poses a major threat to honey bee health. Despite its clear threat, the biology of this mite is poorly understood, with gaps on such fundamental issues as how fast its populations can grow. This leaves the beekeeping world underprepared to plan for its arrival and management. In this study, we documented the growth of T. mercedesae populations in untreated A. mellifera colonies in Thailand and South Korea, and did the same for another parasitic mite (Varroa destructor) when possible. We found that the population growth of T. mercedesae was variable but could reach high levels (daily r of 0.010, 0.036, and 0.057), while the population growth of V. destructor (r = 0.021) matched previous estimates. Our results indicate that T. mercedesae populations can grow rapidly but they do not always attain this potential. Based on our results, humidity should be studied as a potential driver of population growth. If future work can reveal key drivers of T. mercedesae population growth, this would help predict infestations and help design management strategies that exploit the pest's biological vulnerabilities.

Accurately determining the mating status of the agricultural fruit fly pest Ceratitis capitata, commonly known as Medfly, is essential for timely and effective eradication efforts. To overcome the limitations of subjective DAPI-based staining assessments of females captured in Jackson dry traps and Multilure liquid traps, we developed a multi-tier molecular diagnostic method that unequivocally detects mating status using DNA probes targeting the male-specific Y114 locus on the Y-chromosome of the species. Our protocol integrates morphological evaluation with increasingly sensitive molecular assays through the following steps: 1) A preliminary quality assessment of the specimens physical condition, DNA preservation, and mating status using conventional PCR followed by agarose electrophoresis (cPCR); 2) Quantification and real-time detection of sperm presence via quantitative PCR (qPCR); and 3) Detection of trace sperm amounts through droplet digital PCR (ddPCR). This PCR-based framework is designed for samples collected in the field, enabling accurate analysis of specimens exposed to adverse environmental conditions and varying levels of preservation after 2- and 3-weeks weathering times in traps. It allows quantitative determination of mating status even when sperm concentrations are extremely low, such as during transient copulation, and achieves detection limits down to approximately 14 spermatozoa in a mated female. By accounting for variable specimen quality and the performance characteristics of each molecular platform, this tiered approach ensures highly sensitive and unequivocal detection of mated females. The methodology can be used to assist eradication efforts across the C. capitata geographic range through the timely detection of mated females, halting their expansion and establishment into novel regions reducing control and eradication costs.

Stingless bees are key pollinators of native and cultivated plants, and their management mostly for honey and hive commercialisation has become an increasingly popular practice in Brazil. Hives are commonly kept close together and visually similar in meliponaries, a practice that favours drifting, i.e., the return of foragers to a foreign nest. Distance between hives and layout have been identified as drivers of drifting in the Western honeybee, but evidence for stingless bees, the largest group of social bees, remains scarce. Additionally, stingless beekeepers frequently associate drifting with weakened colonies, uneven honey production, worker fighting, and colony population imbalances. We investigated the effects of hive layout on foraging traffic and drifting in the stingless bee Melipona quadrifasciata. We compared forager traffic across six layouts varying in distance, colour and entrance orientation. Then, using RFID tags, we tracked drifting across three layouts with the same inter-hive distance but different designs: visually similar hives, hives with opposite entrance orientation, and hives painted with distinct colours. Forager traffic was lowest in the visually similar layout during the first two weeks of monitoring, which is consistent with greater disorientation in the absence of clear visual cues. Hive position was a key driver of drifting behaviour across all layouts, with bees from edge hives drifting considerably less than those from inner hives. Drifting decreased considerably in hives with different colours (37.6%) and hives with entrances in opposite directions (48.1%), compared to similarly looking hives with entrances in the same direction (59.5%). Therefore, our findings highlight practical low-effort strategies for stingless beekeepers to reduce forager loss, pathogen spread, and productivity losses.

BACKGROUND: Varroa destructor is the major ectoparasite of honey bees and a vector of viral pathogens. Because pathogen transmission and exposure to contact-active acaricides depend on mite host contacts, understanding the factors governing host residence time is important for both disease epidemiology and pest management. We quantified host residence time under varying bee densities and host-type compositions. RESULTS: Mean residence time was 9.48 h across 312 host-residence events. Mites remained on individual hosts for only 2.36 h on Day 1 but approximately 11-14 h from Day 2 onward. A generalized linear mixed model showed a strong positive effect of day on residence time ({beta} = 0.341, SE = 0.044, P < 0.001), corresponding to an approximately 41% increase in residence time per day. Excluding Day 1 eliminated this effect (P = 0.16), indicating that the temporal pattern was driven primarily by the initial exposure period. Reconstructing Day 1 observations to an 8-hour schedule confirmed that this pattern was not an artifact of observation frequency. Neither host type nor bee density affected residence time, and mite occupancy of nurse bees matched host availability. CONCLUSION: Host residence time was governed primarily by initial exposure rather than host identity or moderate crowding. The results identify a previously undescribed exploratory phase immediately after mites enter a novel adult-bee population. Because shorter residence times imply more frequent host switching, these findings improve our understanding of pathogen transmission dynamics and may help explain variation in the performance of contact-based Varroa control strategies.

The expansion of global trade has increased the risk of unintentional introductions of woodboring insects outside their native ranges, which can cause considerable ecological and economic damage. Monitoring efforts for native and non-native species of woodborers rely heavily on semiochemical-baited traps. With the goal of improving detection efforts of longhorned beetles (Coleoptera: Cerambycidae) and their associates, we conducted field bioassays in loblolly pine dominated and bottomland hardwood forest ecosystems, which are representative of subtropical Louisiana. We tested the impact of attractant composition, trap design, and the application of a friction reducing compound on the capture of longhorned beetles. We compared the Synergy Multi-Trap System with and without Fluon, and the Synergy Funnel Trap II with Fluon, baited with multicomponent cerambycid lures and ethanol or ethanol alone. In total, we collected 5,303 beetles comprising 44 species. Traps baited with cerambycid lures and ethanol captured ~11X more individuals than the traps baited with ethanol. We identified novel attractants for 6 species of longhorned beetles. When Fluon was applied, both the Synergy Multi-Trap System and Funnel Trap II were equally effective at capturing cerambycids. Application of Fluon significantly increased the trap capture of the Synergy Multi-Trap System by ~4X compared to the same trap type without Fluon. Our results contribute to our understanding of the factors influencing trap captures and the chemical ecology of woodboring insects thereby helping the development of early detection and rapid response monitoring programs in subtropical regions of the United States and elsewhere.

Fat accumulation and use is critical for sustaining life. Most insects show a typical response to feeding where fat is accumulated when sufficient sugars and other carbohydrates are consumed. Parasitoid insects are an exception, because most species do not accumulate fat when feeding on a sugar-rich diet. Studies on fat metabolism generally measure fat content early in life without considering lipid metabolism as a dynamic process that is expected to change as life progresses. In this paper, we compared fat accumulation and use throughout the lives of adult female Drosophila melanogaster and females of 5 inbred lines of the parasitoid wasp Leptopilina heterotoma. We expected that fat accumulation would take place irrespective of teneral fat content in D. melanogaster. We found that fat D. melanogaster initially used fat reserves, while lean flies economized on fat stores. Both lean and fat flies started accumulating fat after 7 days of life, indeed showing a typical response for insects. Unlike other parasitoids, L. heterotoma populations differs in fat accumulation patterns that we expected to observe also between inbred lines. In none of the inbred lines, however, did fat accumulation take place. Our results did reveal that inbred lines differed in the rate at which fat was used mainly later during life. We further confirmed that D. melanogaster pupal size was highly correlated with adult female size for both D. melanogaster and L. heterotoma. Overall, our findings for L. heterotoma provide strong evidence that genetic background has a major impact on the rate at which fat is used over a lifetime.

Heliococcus summervillei is an emerging invasive mealybug that causes severe dieback in grasses in pastures and turfgrass landscapes. It is widespread in Australia and has recently been detected across the Caribbean, Mexico, and the United States. Accurate identification of mealybugs is challenging due to cryptic morphology, overlapping diagnostic characters, and limited taxonomic expertise and literature, which makes molecular tools essential for regulatory diagnostics and management. We developed the first Cytochrome Oxidase I (COI) barcode for H. summervillei and used it to examine mitochondrial variation across available populations. COI sequences reveal approximately a 10.2% mitochondrial split between the Type A and Type B variants. Phylogenetic, haplotype network, and genetic distance analyses show that all invasive range populations share one haplotype associated with a recent invasion in the United States, Australia, Pakistan, and the Caribbean, whereas the Barbados lineage contains two closely related haplotypes that represent a historically stable mitochondrial variant. Together, these results establish the first COI reference library for H. summervillei, clarify mitochondrial lineage structure, and provide a practical barcode tool that enables rapid identification of invasive populations and supports timely regulatory and pest management responses. Recognizing mitochondrial variants also establishes a framework for resolving lineage-specific biological and management traits and strengthens reconstruction of introduction pathways central to regulatory decision-making and limiting further spread.

Bugtok disease remains a major bacterial constraint of cooking banana production in the Philippines and is characterized by vascular discoloration, fruit browning, and progressive decline associated with members of the Ralstonia solanacearum species complex that infect banana inflorescences and fruits. This study investigated whether insects visiting Saba banana flowers in Indang, Cavite harbor R. solanacearum, with emphasis on the possible role of Thrips hawaiiensis as a possible candidate vector under field conditions. Destructive sampling was conducted three times in a Saba-monoculturing farm with high reported bugtok incidence, targeting flowers present at the time of collection and prioritizing insects recovered directly from banana inflorescences. Field-collected insects were surface sterilized, subjected to bacterial isolation, and confirmed by PCR using RSSC-specific and phylotype-specific primers; representative thrips were then morphologically identified. Preliminary acquisition assay with infected flowers for 1 and 3 days was conducted using field collected T. hawaiiensis from a non-Bugtok infested farm in Laguna. Among the insects recovered, thrips and stingless bees (Tetragonula spp.) were the most prominent flower visitors, but only thrips yielded internal detection of R. solanacearum after surface sterilization and homogenization, supporting the presence of the pathogen within the insect body rather than simple external contamination. Morphological characters of the positive specimens were consistent with T. hawaiiensis, including a pale antennal segment III, bicolored body, paired pronotal posteroangular setae, discal setae on abdominal sternite VII, and a complete comb on abdominal tergite VIII. In preliminary acquisition tests, healthy T. hawaiiensis exposed to infected flowers acquired the pathogen at mean positivity values of 1.75 {+/-} 1.50 after 1 day and 2.67 {+/-} 4.72 after 3 days, whereas control thrips remained negative. These findings provide field-based evidence that T. hawaiiensis can acquire R. solanacearum from infected Saba flowers and should be considered in Bugtok epidemiology and integrated disease management in Luzon.

Flower-visiting insect populations are declining since the 1990s, especially because of the decrease of floral resources in agricultural settings. Mass flowering crops can help increase resource availability, and plant breeding can be directed towards selecting varieties attracting more flower-visiting insects. This requires the implementation of an automated high-throughput phenotyping tool for assessing the attractiveness of plant genotypes to flower-visiting insects. In this study, (i) we present a procedure to take standardized images of sunflower heads with camera traps continuously at day and night in the field; (ii) we trained two versions of a deep learning model, named PolliCrop, to automatically detect and identify three classes of the main insects visiting sunflower on these images (non-Bombus bees, bumble bees, lepidopterans); (iii) we assessed and validated the ability of PolliCrop to correctly predict the true visitation frequencies of the insect classes on three sunflower genotypes; (iv) we presented two statistical approaches to compare the insect visitation frequencies between plant genotypes, one including weather variables, and the other one without. One PolliCrop version yielded satisfying performance to correctly detect the three insect classes. In particular, it correctly predicted the insect visitation frequencies on two sunflower genotypes in a range of {+/-}10%. The other PolliCrop version can be useful in certain contexts of images and objectives. PolliCrop can be extended in the future to other crop species by training PolliCrop on new images captured in these crops. The field experimental design to set up for comparing the attractiveness between genotypes is also discussed.

BackgroundHuman head lice (Pediculus humanus capitis de Geer) are known to harbor diverse maternally inherited bacterial symbionts. These endosymbiotic bacteria may contribute to insecticide degradation, potentially helping lice withstand particular environmental pressures. Using next-generation sequencing (NGS), this study investigated the bacterial symbionts present in wild head-louse populations and characterized their phylogenetic relationships in mutant and permethrin-susceptible strains. MethodsHead lice specimens were collected from 10 locations across Fars Province, Iran. Following DNA extraction, the samples were analyzed using polymerase chain reaction (PCR), and the resulting amplicons were sequenced to detect mutations in specimens from each location. Lice were then classified according to the presence or absence of mutations and subjected to NGS to characterize the symbiotic bacterial communities in mutant and putatively permethrin-susceptible strains. ResultsMutant strains were detected at only three sampling stations. Bioinformatic analysis of the nucleic acid sequences revealed three exons and two introns, with an expected amplicon length of 582 bp. NGS analysis showed that Candidatus Riesia pediculicola (Arsenophonus), belonging to the phylum Proteobacteria, was the predominant bacterial genus. Actinobacteria and Firmicutes were the second- and third-most abundant phyla, respectively. Most of the remaining 25 bacterial taxa were associated with the mutant strain. Additionally, two previously unreported bacterial genera were deposited in GenBank. ConclusionsThe distinct distribution of Arsenophonus species between susceptible and mutant head-lice strains--along with the greater abundance of Escherichia, Shigella, Lawsonella, and Megamonas in mutant strains--highlights the need for advanced metagenomic analyses to determine how these endosymbionts may help their hosts withstand specific environmental disturbances.

Nesidiocoris tenuis is an important zoophytophagous mirid bug used as a biological control agent in agriculture, and breeding efforts based on genomic information aim to increase its utility. Visible eye-color mutants are useful genetic markers because they are easily distinguishable and are therefore widely used in insect genetics and genome editing studies. Here, we investigated the genetic basis of a spontaneous red-eye mutant identified in a laboratory strain of N. tenuis. Classical crossing experiments suggested that the red-eye phenotype is controlled by a single recessive locus. RNA-seq and RNA interference (RNAi) analyses identified scarlet and cinnabar as the primary candidate genes associated with the phenotype. Further genomic analysis revealed a large deletion and insertion within exon 5 of the mutant scarlet allele, potentially causing exon skipping and disrupting transporter structure. The insertion pattern is consistent with a microhomology-mediated break-induced replication (MMBIR)/fork stalling and template switching (FoSTeS)-like event that may have been generated through polymerase{theta} -mediated repair. Together, these findings identify the causative mutation underlying the red-eye phenotype and provide a useful visible marker for future functional genetic studies and genome-assisted breeding in N. tenuis.

Animal venoms are a rich source of bioactive molecules, yet their diversity remains incompletely characterized in many species. Here we present the first long-read transcriptomic analysis of venom glands from Philippine tarantulas (Theraphosidae), a highly endemic but understudied group. Using Oxford Nanopore sequencing, we reconstructed near full-length venom gland transcriptomes across multiple species and identified extensive repertoires of toxin-encoding peptides. Venom glands were enriched in cysteine-rich inhibitor cystine knot (ICK) peptides, which dominated the toxin landscape and are known modulators of ion channels. Cross-species comparative analyses revealed a distinct transcriptional signature separating venom from non-venom tissues, driven by coordinated expression of toxin-associated and regulatory gene families. Phylogenomic reconstruction based on orthologous peptides recovered expected taxonomic relationships while revealing potential lineage-specific diversification and potential cryptic taxa. Despite a conserved core set of toxin families, substantial variation in toxin composition was observed among species, consistent with rapid evolution driven by gene duplication and functional divergence. Analysis of highly expressed ICK peptides showed a conserved cysteine framework alongside marked sequence variability in inter-cysteine regions, supporting a model in which structural stability is maintained while functional diversification proceeds. Together, these findings establish the first long-read transcriptomic resource for Philippine theraphosid spiders, reveal a conserved molecular signature underlying venom gland specialization, and provide new insights into the diversification of ICK toxin repertoires that may facilitate future evolutionary and functional studies, including the discovery and characterization of bioactive venom peptides.

Wildflower plantings are an important conservation measure for supporting wild bee diversity. They aim to enhance floral resources for nutrition, but do not explicitly consider that bees also require suitable nesting and overwintering resources. Wildflower plantings may provide nesting habitat for ground-nesting bees, but the effects of soil management, e.g. ploughing, on ground-nesting bees are hardly known. To study how ploughing and age of wildflower plantings affect ground-nesting bees, we sampled bees on ploughed and unploughed wildflower plantings aged 0-4 years. We used emergence traps to sample bees directly after emergence from the ground, allowing inference on nest numbers. We found that ploughing and wildflower planting age negatively affected overwintering bee nest numbers. Nesting peaked in the year of wildflower planting establishment and declined thereafter, indicating lower habitat suitability at later successional stages. Annual ploughing caused the greatest reduction in nest numbers (-72 %), providing evidence for an ecological trap.

Many social insects, such as ants, change their behavior stereotypically from nursing to foraging as they age, a concept known as temporal polyethism. Biogenic amines are associated with these specific behaviors, but much about them remains poorly understood in these animals. Many aminergic systems lack anatomical characterization, and little is known about the expression of genes required for the aforementioned behavioral phenotypes. Here, we studied Pogonomyrmex barbatus brains and identified the neurons that produce two relevant amines, dopamine and octopamine, by detecting their synthesis enzymes, tyrosine hydroxylase and tyramine beta-hydroxylase, and their transcripts. We also compared the expression of both genes in young nurses and mature foragers by measuring the fluorescence intensity. Dopaminergic and octopaminergic neurons are predominantly located in the protocerebrum and in the subesophageal zone. Neurons that produce dopamine are also present in the optic lobes, whereas octopamine-producing ones show clusters in the antennal lobes. Both genes are downregulated as the organism ages. A reduction in the expression of these genes might be correlated with the mature workers increased propensity to perform extranidal tasks, such as foraging.

Xylosandrus crassiusculus (Motschulsky), the granulate ambrosia beetle, was one of the first highly-destructive ambrosia beetles introduced into the southern U.S in the 1970s where it was found in South Carolina (Kovach 1986). The Redbay ambrosia beetle, Xyleborus glabratus Eichhoff, was first detected in the U.S. in South Georgia in 2002. This beetle and its associated fungi, the laurel wilt fungus Raffaelea laurelensis and others have caused substantial destruction to native redbay (Persea borbonia) in GA, SC, FL and elsewhere. This beetle-pathogen complex also poses a threat to commercial avocado production in the U.S., Central and South America as well as to valuable other Persea spp. and related plants (Laureacea) that are known hosts. As an addition here, 10 years of the spring appearances (Fig.1) of X. crassiusculus in North Florida is offered for future comparisons. A second unusual appearance is the finding and working with UV mulch and ethanol, as a surprising attraction of X. crassiusculus and other ambrosia beetles including X. glabratus. It was also found that the ambrosia beetles do not respond to yellow and green as expected by most. Also, adding burlap was found to be attractive (increases dead and dying appearing trees) as is silver metallic like UV mulch, while camouflage (camo) was found to work like yellow and green. These occurrences led to the invention and development of UV mulch with new traps to better monitor ambrosia beetles. New traps led to new uses for yellow, green and camo to monitor and decrease damage and losses from ambrosia beetles. The data are presented as evaluated and appear in the figures, discussion and a supplemental section. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/733798v1_fig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1006101org.highwire.dtl.DTLVardef@1e0a3d6org.highwire.dtl.DTLVardef@1244d1borg.highwire.dtl.DTLVardef@423cb7_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1:C_FLOATNO Relative timing of annual emergence of Xylosandrus crassiusculus in north Florida. Collected over 10 years using 5 Baker traps with a 10% ethanol/water solution. Data are from years as marked. Note: data from year 2003 was not collected. C_FIG

Survival analysis is a workhorse assay in Drosophila research to evaluate somatic fitness. It is indispensable in the study of ageing and insightful in immunity, metabolism, radiobiology, toxicology, ecology, and others. While conceptually simple, lifespan measurement is labour-intensive because it requires the continuous manual maintenance of large experimental cohorts. Here, we describe Drosben, an approach that combines a 3D-printed device to transfer flies from several vials simultaneously, a paper system for quick data recording and accompanying software that automatically digitalises life tables for analysis. We show that using Drosben reduces the time investment to perform lifespan assays by ~85%, with improved speed regardless of experience handling Drosophila vials. Using Drosben, we address the effects on longevity of chronic feeding of indole-acetic acid (IAA), naphthalene-acetic acid (NAA) and trimethoprim (TMP) -- compounds used to control heterologous targeted protein degradation systems. We find that IAA and NAA have noticeable deleterious effects while TMP has a small protective effect specifically in females. We further show that strong static magnetic fields do not affect Drosophila lifespan. Our work suggests that Drosben can cheaply accelerate research where lifespan is used as a life history trait.

AimWe develop Atta leafcutter-ants as bioindicators that respond at fine scales to geographic and seasonal climate changes in the Americas, thereby addressing the paucity of versatile insect bioindicator systems capable of monitoring climate in both Southern and Northern Hemispheres. LocationAmerican tropics and sub-tropics from latitudes S33.6{degrees} to N33.2{degrees}, with case studies from Colombia, Mexico, and southern USA. Time Period2012-2024. Taxon StudiedAtta leafcutter-ants. MethodsWe elucidate biogeographic patterns of mating-flight phenology of Atta leafcutter-ants across the entire Atta range from Uruguay/Argentina to the USA, using 2335 records of Atta reproductives from the community database iNaturalist, then ground-truth these patterns by comparison with (i) mating-flight records (n=806) from the Atta literature; and (ii) mating-flight observations (n=836) accumulated by a consortium of experts who have researched Atta for a combined 1000+ work-years. Onset of mating flights can be timed with great precision in Atta populations because mass-mating flights are synchronized and triggered by the first major rainfall of a rainy season. ResultsBiogeographic patterns in climate-dependent mating-flight phenologies recorded at iNaturalist are corroborated by observations accumulated in the literature and by Atta experts. Analyses reveal so-far unknown gradients in mating-flight phenology (e.g., Colombia to USA) that are correlated to geographic climate gradients, and season switches of mating flights from early to late in the year between proximate Atta populations (e.g., 200 kilometers apart), for example in the climatically complex Andean regions of Colombia. Regional differences in Atta mating-flight phenology correspond to temporal differences in rainfall between ecoregions of Colombia. Main ConclusionsAtta ants are tractable insect bioindicators to monitor climate impacts with detailed spatial and temporal resolution across a 9200-kilometer trans-equatorial transect in the Americas. We outline future research directions to explore climate-dependent biology using the continuously growing, and now ground-truthed, information at iNaturalist on Atta mating behavior.

The multivoltine non-native box tree moth, Cydalima perspectalis (Lepidoptera: Crambidae), was accidentally introduced in several continents and exhibited a very rapid expansion in its invaded ranges, colonising around 40 countries in less than twenty years. Initially observed in urban areas, it quickly spread to forest stands, causing significant damage to boxwood trees. If the role of the ornamental plant trade in its fast invasion has been investigated, the insects flight capabilities has thus far been overlooked, limiting estimations of its natural dispersal. In this context, we assessed the flight performance of the adults and investigated potential effects of sex, age and generation using computer-monitored flight mills. Under these controled conditions, we estimated the distance flown per night and over the adults lifespan in both sexes for each generation. The adults were able to fly on average 18 km within their lifespan, even though distances flown were highly variable, including several females capable of performing long-distance flights (up to 150 km). The distances covered were partly correlated with the age and body mass of the adults. Mated females flew longer distances than virgin ones, but long dispersal seemed to limit their fecundity. Finally, the overwintering generation presented the highest flight capabilities with individuals able to cover 22 km on average while the late summer generation covered only 10 km. The box tree moth showed good dispersal abilities that likely played a significant role in its rapid local expansion, while human-mediated dispersal favoured its long-distance dispersal.

In sharp contrast to biological control that seeks control of pests below economic levels, eradication programs seek total extermination of pest species. However, eradication programs are often undertaken without knowledge of the pests potential geographic distribution and relative abundance (i.e., geographic risk assessment), often leading to eradication efforts conducted across areas much greater than the potential permanent range of the target species. To demonstrate this, we review eradication efforts against the tropical New World screwworm (Cochliomyia hominivorax) in the SE USA and Mexico, the exotic sub-tropical tephritid Mediterranean fruit fly (Ceratitis capitata, medfly) in California, and the exotic tropical pink bollworm (Pectinophora gossypiella, PBW) in the SW USA. We use mechanistic physiologically based demographic models (PBDMs) that are physiologically based time varying life tables to decompose the systems and to assess risk under extant and climate change scenarios.

BackgroundAedes albopictus is among the worlds most invasive mosquito species and an important vector of dengue, Zika, and chikungunya viruses. Its global spread has been strongly associated with human-mediated transport and international trade, particularly through commodities such as used tires and ornamental plants. However, integrative studies combining population genetics, microbial symbiosis, and trade connectivity remain limited in Latin America, constraining understanding of invasion dynamics and dispersal processes. MethodsAedes albopictus populations from five Colombian departments sampled between 2019 and 2023 were analyzed using eight microsatellite loci and a [~]1.3-kb mitochondrial COI fragment. Wolbachia infection and lineage composition (wAlbA/wAlbB) were evaluated by PCR, and arbovirus detection (DENV, CHIKV, ZIKV) was performed using multiplex RT-PCR. Nuclear and mitochondrial differentiation (FST, {Phi}ST), mito-nuclear discordance, and trade-related connectivity were evaluated in relation to geographic, national transport, and international trade variables derived from customs databases. ResultsMicrosatellite analyses revealed admixed but structured populations consistent with multiple introductions and contemporary gene flow. Colombian populations showed nuclear genetic affinities with Asian, European, and North American populations, supporting a complex invasion history involving multiple geographically distributed lineages. In contrast, mitochondrial COI data showed evidence of regional genetic structure and heterogeneous mito-nuclear discordance among several population pairs. Notably, nuclear and mitochondrial markers captured contrasting dimensions of the invasion process: nuclear differentiation was positively associated with international trade intensity, particularly shipment frequency and used tire importation, whereas mitochondrial differentiation retained stronger regional structure and showed no detectable association with trade-related variables. Wolbachia prevalence ranged from 34% to 100% across departments and showed exploratory patterns consistent with localized mitochondrial differentiation. Natural detection of DENV and CHIKV RNA in larvae provided evidence of local arbovirus circulation. ConclusionsIntegrating population genetics, trade connectivity, and Wolbachia screening supports a scenario in which the Colombian invasion of Ae. albopictus has been shaped by multiple introductions, contemporary human-mediated connectivity, and partially discordant mito-nuclear histories. These findings highlight how different genomic compartments retain complementary signatures of invasion dynamics, with contemporary trade-associated connectivity primarily reflected in nuclear structure and regional lineage persistence retained in mitochondrial variation. Author SummaryThe Asian tiger mosquito, Aedes albopictus, is one of the worlds most invasive mosquito vectors and continues to expand across Latin America through human transportation and trade networks. However, the processes shaping its spread in the region remain poorly understood. We combined population genetics, international trade data, Wolbachia screening, and arbovirus surveillance to investigate the invasion dynamics of Ae. albopictus in Colombia. Our results revealed evidence of multiple introductions and ongoing genetic admixture, with international trade connectivity emerging as an important predictor of contemporary nuclear genetic structure. In contrast, mitochondrial DNA retained stronger regional patterns, generating heterogeneous mito-nuclear discordance among populations. These findings suggest that different genomic compartments retain distinct signatures of the invasion process, with trade-associated connectivity reflected primarily in nuclear variation and stronger regional structure preserved in mitochondrial lineages. More broadly, our study highlights the complex invasion dynamics of Ae. albopictus in Latin America illustrates how integrating genetics and human connectivity data can improve understanding of invasive vector spread.