Bacterial and fungal airway communities play a critical role in allergic respiratory diseases, yet they are often studied independently despite evidence of cross-kingdom ecological interactions. We investigated bacterial–fungal interactions across allergic rhinitis (AR), asthma (AS), allergic rhinitis with asthma comorbidity (ARAS), and healthy controls (HC) in a cohort of 286 participants (531 samples) using network analysis. Buccal and nasal samples were sequenced for 16S rRNA and ITS amplicons and networks constructed using sparse inverse covariance estimation for ecological association and statistical inference. Inferred bacterial–fungal connections comprised approximately one-third of the network edges. Taxonomic analyses of cross-kingdom-associated ASVs from the bacterial genera Dolosigranulum, Gamella, Haemophilus, Lawsonella, and Moraxella and the fungal genus Cladosporium revealed significant (p < 0.05) differences in mean relative abundance between the disease groups and healthy controls. Network topology analysis further identified distinct high-weight and high-degree microbial hubs, predominantly comprising fungal ASVs (Aleurina, Cladosporium, Malassezia, and Vishniacozyma) acting as putative keystone taxa and with disease-specific patterns. Together, these findings demonstrate that allergic airway diseases in this cohort are characterized by altered cross-kingdom network structure and disease-specific reorganization of microbial interaction patterns; this highlights the importance of integrated bacteriome–mycobiome analyses in understanding airway dysbiosis.
Sung et al. (Tue,) studied this question.