Stopover habitat selection drives variation in the gut microbiome composition and pathogen acquisition by migrating shorebirds

Włodarczyk, Radosław; Drzewińska-Chańko, Joanna; Kamiński, Maciej; Meissner, Włodzimierz; Rapczyński, Jan; Janik-Superson, Katarzyna; Krawczyk, Dawid; Strapagiel, Dominik; Ożarowska, Agnieszka; Stępniewska, Katarzyna; Minias, Piotr

doi:10.1093/femsec/fiae040

Cited by 2 publications

(1 citation statement)

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“…Although the relationship between long-distance movements and disease has not been comprehensively explored, some studies have proposed the use of microbiome surveillance as a tool to detect pathogens such as Salmonella (Choi et al 2021 ). Indeed, given the role of bird migration in transmission of avian influenza (Sun et al 2022 ) and the recently determined importance of stopover sites in the establishment of avian pathogens in migrating birds (Włodarczyk et al 2024 ), there is a clear need to understand the relationship between microbiome composition, pathogens, and long-distance movements.…”

Section: A Framework For Microbiome Interactions With Long-distance M...mentioning

confidence: 99%

Long-distance movement dynamics shape host microbiome richness and turnover

Pearman,

Duffy,

Gemmell

et al. 2024

FEMS Microbiology Ecology

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Host-associated microbial communities are shaped by host migratory movements. These movements can have contrasting impacts on microbiota, and understanding such patterns can provide insight into the ecological processes that contribute to community diversity. Furthermore, long-distance movements to new environments are anticipated to occur with increasing frequency due to host distribution shifts resulting from climate change. Understanding how hosts transport their microbiota with them could be of importance when examining biological invasions. Although microbial community shifts are well-documented, the underlying mechanisms that lead to the restructuring of these communities remain relatively unexplored. Using literature and ecological simulations, we develop a framework to elucidate the major factors that lead to community change. We group host movements into two types—regular (repeated/cyclical migratory movements, as found in many birds and mammals) and irregular (stochastic/infrequent movements that do not occur on a cyclical basis, as found in many insects and plants). Ecological simulations and prior research suggest that movement type and frequency, alongside environmental exposure (e.g. internal/external microbiota) are key considerations for understanding movement-associated community changes. From our framework, we derive a series of testable hypotheses, and suggest means to test them, to facilitate future research into host movement and microbial community dynamics.

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Section: A Framework For Microbiome Interactions With Long-distance M...mentioning

confidence: 99%