Aerobiology, Volume 4, Issue 2 (June 2026) – 6 articles

Aerobiology, the science that studies atmospheric biological particles (including pollen, fungal spores, bacteria, and viruses), has undergone a profound transformation from a descriptive, observational discipline into a predictive, data-driven field, thanks to advances in statistical methods and environmental sensing technologies. Early research, based on classical statistical methods such as descriptive analysis, correlation analysis, and linear regression, established a fundamental understanding of seasonal dynamics and environmental relationships. However, the inherent complexity of aerosol biological systems—characterized by nonlinear interactions, spatiotemporal variability, and multiscale processes—has spurred the adoption of modern statistical techniques. These techniques include time-series analysis, generalized linear and additive models, spatial statistics, Bayesian inference, machine learning, and data assimilation, often combined with high-resolution environmental monitoring and sensor networks. In recent years, hybrid modeling approaches have emerged, combining mechanistic understanding of atmospheric transport and biological emissions processes with data-driven learning to improve the accuracy, robustness, and interpretability of predictions. This review comprehensively compares classical, modern, and hybrid statistical methods in air biology, exploring their theoretical foundations, practical applications, and inherent limitations. Furthermore, this review highlights emerging paradigms such as uncertainty quantification, causal inference, digital twins, and AI-driven real-time prediction systems. It also discusses challenges, including data heterogeneity, model interpretability, and cross-regional portability. By treating aerobiology as a complex adaptive environmental–biological system, this study highlights statistical methods that link observations to mechanisms and advance scalable, reliable, systems-oriented prediction frameworks for future research and applications. Full article

Spinacia oleracea L. cultivation in South Asia is severely compromised by leaf spot disease caused by fungal plant pathogens, resulting in significant yield and quality losses. In this study, we report the first molecularly confirmed case of an Alternaria burnsii leaf spot on S. oleracea in Pakistan. Symptomatic S. oleracea leaves exhibiting necrotic lesions with concentric rings were collected during a field survey across Bahawalpur district, Punjab, Pakistan in 2024. After isolation, purification and morphological identification it was identified that it belongs to the Alternaria genus. For the confirmation of species, molecular identification was performed; using the ITS and GAPDH primer revealed that the fungal plant pathogen causing leaf spot of S. oleracea is A. burnsii which was also confirmed by phylogenetic analysis. Koch’s postulates were carried out to confirm pathogenicity on detached leaf assays. To assess the virulence of A. burnsii enzymatic analysis was performed. Notably, enzymatic virulence profiling demonstrated a markedly increased production of polygalacturonase (PG: 16.0 ± 0.8 AU), pectin lyase (PNL: 12.0 ± 0.6 AU) and cellulase (CL: 14.0 ± 0.7 AU) relative to controls (all p < 0.001; LSD = 0.16), with PG having the greatest relative increase. This report expands the known host range for A. burnsii and highlights its two-fold threat: as a bioaerosol disseminable by wind and an enzymatic pathogen. These findings highlight the urgent need for integrated disease management strategies for suppressing leaf spot disease in S. oleracea agroecosystems. Full article

The study of airborne pollen and spores in regions, communities, and campuses has gained importance in Nigeria in recent times. Aerospora sampling was carried out from November 2012 to February 2013 on the University of Ibadan campus Watch Tower. The Tower is the tallest building on campus, standing at 35 m. An Aero sampler was used to collect aeropalynomorphs monthly at the site. The recovered residues were acetolysed and studied microscopically. Meteorological data for this location were obtained from the Nigerian Meteorological Agency (NiMet) for the prevailing weather conditions. Statistical analysis using the Pearson Correlation Coefficient was used to evaluate the relationship between airborne pollen and spores and meteorological parameters. A variety of palynomorphs, characteristic of rainforest, secondary/open forest, savanna, and freshwater vegetation types, were recovered. The dominant ones belonged to the Arecaceae, Anacardiaceae, Amaranthaceae, Euphorbiaceae, Moraceae, and Poaceae families, as well as fungal spores. Pollen counts with meteorological data revealed variations in palynomorph types and concentrations that reflected the influence of the aerosampler location, weather parameters, and the degree of human activities on the floral composition. This work is the first aero-sampling on the University of Ibadan campus and a contribution to the aeropalynological data of campuses across Southwest Nigeria. Full article

Exposure to airborne pollen allergens is a major trigger of respiratory allergy, whose prevalence continues to rise throughout Europe. In southern Portugal, the Mediterranean climate and extensive vegetation diversity promote high pollen loads, particularly from the Amaranthaceae family. This retrospective observational study aimed to characterise the sensitisation profiles of patients with positive skin prick tests (SPTs) to Chenopodium album and/or Salsola kali, the dominant Amaranthaceae species in the region. Data from 346 patients were analysed, including demographic and clinical characteristics, SPT results, and specific IgE sensitisation to molecular allergens. Of these, 35% were positive for C. album only, 13% for S. kali only, and 51% for both. In molecular testing, 54% of S. kali-sensitised patients were positive to Sal k 1, whereas only 4% of C. album-sensitised patients were positive to Che a 1. Sensitisation to panallergens such as profilins and Ole e 1-like proteins was frequent, suggesting extensive IgE cross-reactivity between these taxa. A significant correlation in wheal size (r = 0.53, p < 0.0001) further supports shared allergenic determinants. Despite higher SPT positivity to C. album, S. kali is likely the predominant sensitising source in this population. These findings highlight the importance of molecular-based diagnostics to distinguish genuine sensitisation from cross-reactivity in Mediterranean settings. Full article

Aeropalynology, the monitoring and interpretation of airborne pollen, has become increasingly relevant in Latin America as allergic rhinitis and asthma rise alongside rapid urbanization, land-use change, and climate variability. Yet the region’s capacity remains heterogeneous: long-standing traditions in the Southern Cone coexist with emerging programs in tropical and Andean settings, and many series are not translated into standardized products useful for clinical care or public health. We conducted a structured literature review guided by PRISMA 2020 to synthesize the historical evolution, current monitoring infrastructure, dominant pollen taxa, and translational outputs reported across Latin American countries. Evidence indicates that Mexico currently represents the most mature aeropalynological ecosystem in the region, supported by multi-site monitoring, open weekly reporting (REMA), multiple city-level pollen calendars, and emerging computational approaches for pollen identification. Across countries, recurrent high-impact taxa include Cupressaceae, Fraxinus, Platanus, Olea, Poaceae, Urticaceae, Amaranthaceae, Rumex, Ambrosia, and Parietaria, with local dominance shaped by biogeography and urban vegetation. Key gaps include limited long-term continuity outside a few cities, variable methodology (sampler type, taxonomic resolution, units, thresholds), and scarce linkage of pollen exposure metrics with clinical outcomes. Future priorities include harmonized volumetric monitoring, interoperable data standards, routine publication of pollen calendars and thresholds, integration with meteorology for forecasting, and expansion of digital decision-support tools to improve prevention and management of allergic respiratory diseases in Latin America. Full article

This study estimates the association between respiratory outcomes among employees of a secondary aluminum plant and airborne pollutants. Additionally, it looks into the relationship between pulmonary dysfunction in workers and X-Ray repair cross-complementing one (XRCC1) gene polymorphisms. 110 exposed workers and 58 non-exposed workers were enrolled in the study. Measurements were conducted on sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and particulate particles. Pulmonary function was tested. Eosinophil cationic protein (ECP), C-reactive protein (CRP), matrix metalloproteinase-1 (MMP-1), interleukin 6 (IL6), granulocyte-macrophage colony-stimulating factor (GM-CSF), XRCC1 protein, and genotyping of XRCC1 gene polymorphisms were examined. The annual average concentrations of particulate matter (PM_2.5, PM₁₀), total suspended particulates (TSP), SO₂, and NO₂ were lower than the permissible limit. The areas around ovens, evaporators, and cold rolling mills exhibited the highest amounts. The majority of employees in these departments had impaired lung function. Prolonged exposure was associated with a significant decrease in forced expiratory volume in 1 s (FEV1%) and forced vital capacity (FVC%) among the exposed group (p = 0.001 & 0.04, respectively). Serum XRCC1 levels were significantly higher among exposed workers (p = 0.02). Inflammatory biomarkers showed no statistically significant differences between groups. Aluminum workers are at risk of developing respiratory disorders. The level of serum XRCC1 may serve as a potential biomarker for detecting susceptible workers. Full article