bioRxivMicrobiologyPreprint
Environment and disease have tissue-specific effects on the tree microbiome
Jim DownieiD, Alejandra OrdoneziD, Marine C. CamboniD, Usman HussainiD, Nathan BrowniD, Manfred BeckmanniD, Jasen P. FinchiD, John DraperiD, Sandra DenmaniD, James Edward McDonaldiD
Abstract
Trees are essential for ecosystem function, but due to their long lifespan, are disproportionately impacted by climate change and disease. Tree-associated microbiota are critical for tree health and resilience, but the composition and function of tree microbiomes across different tissue types, and how environmental factors and disease impact tree microbiomes, is poorly understood. Oak trees are major constituents of forests of the Northern hemisphere, but are increasingly impacted by climate and disease. Here, we studied the oak microbiome across Britain, combining 16S rRNA gene and ITS microbial community profiling and shotgun metagenomics of leaf, stem and root/rhizosphere samples, and developed a three-level occupancy model to describe microbiota distribution across the landscape. We show that oak leaf, stem and root/rhizosphere tissues harbour taxonomically and functionally distinct microbiota and identified differences in tissue-specific effects of environmental variables (e.g. temperature, rainfall, ion deposition) on microbiome composition and function. We generated 1657 bacterial, archaeal and fungal metagenome-assembled genomes representing key members of the oak microbiome. Furthermore, the stem microbiome of oak trees with symptoms of Acute Oak Decline, a complex decline disease driven by abiotic and biotic stressors, exhibited reduced bacterial and fungal richness and altered microbiome function. This work represents the most comprehensive microbiome study of a tree species to date. Understanding how tree-associated microbiota respond to environmental change and disease across different tissues is crucial to predict future climate and disease impacts on tree microbiome function, and inform translational approaches to modulate tree microbiomes for plant health.
- organism: plant (other)
- assay: metagenomics
- research focus: cell type annotation
- approach: statistical model
- Citations
- 2
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