Ectomycorrhizal fungi alter soil food webs and the functional potential of bacterial communities.

Most of Earth's trees rely on critical soil nutrients that ectomycorrhizal fungi (EcMF) liberate and provide, and all of Earth's land plants associate with bacteria that help them survive in nature. Yet, our understanding of how the presence of EcMF modifies soil bacterial communities, soil food webs, and root chemistry requires direct experimental evidence to comprehend the effects that EcMF may generate in the belowground plant microbiome. To this end, we grew Pinus muricata plants in soils that were either inoculated with EcMF and native forest bacterial communities or only native bacterial communities. We then profiled the soil bacterial communities, applied metabolomics and lipidomics, and linked omics data sets to understand how the presence of EcMF modifies belowground biogeochemistry, bacterial community structure, and their functional potential. We found that the presence of EcMF (i) enriches soil bacteria linked to enhanced plant growth in nature, (ii) alters the quantity and composition of lipid and non-lipid soil metabolites, and (iii) modifies plant root chemistry toward pathogen suppression, enzymatic conservation, and reactive oxygen species scavenging. Using this multi-omic approach, we therefore show that this widespread fungal symbiosis may be a common factor for structuring soil food webs.IMPORTANCEUnderstanding how soil microbes interact with one another and their host plant will help us combat the negative effects that climate change has on terrestrial ecosystems. Unfortunately, we lack a clear understanding of how the presence of ectomycorrhizal fungi (EcMF)-one of the most dominant soil microbial groups on Earth-shapes belowground organic resources and the composition of bacterial communities. To address this knowledge gap, we profiled lipid and non-lipid metabolites in soils and plant roots, characterized soil bacterial communities, and compared soils amended either with or without EcMF. Our results show that the presence of EcMF changes soil organic resource availability, impacts the proliferation of different bacterial communities (in terms of both type and potential function), and primes plant root chemistry for pathogen suppression and energy conservation. Our findings therefore provide much-needed insight into how two of the most dominant soil microbial groups interact with one another and with their host plant.

Positive interactions between mycorrhizal fungi and bacteria are widespread and benefit plant growth.

Bacteria, ectomycorrhizal (EcM) fungi, and land plants have been coevolving for nearly 200 million years, and their interactions presumably contribute to the function of terrestrial ecosystems. The direction, stability, and strength of bacteria-EcM fungi interactions across landscapes and across a single plant host, however, remains unclear. Moreover, the genetic mechanisms that govern them have not been addressed. To these ends, we collected soil samples from Bishop pine forests across a climate-latitude gradient spanning coastal California, fractionated the soil samples based on their proximity to EcM-colonized roots, characterized the microbial communities using amplicon sequencing, and generated linear regression models showing the impact that select bacterial taxa have on EcM fungal abundance. In addition, we paired greenhouse experiments with transcriptomic analyses to determine the directionality of these relationships and identify which genes EcM-synergist bacteria express during tripartite symbioses. Our data reveal that ectomycorrhizas (i.e., EcM-colonized roots) enrich conserved bacterial taxa across climatically heterogeneous regions. We also show that phylogenetically diverse EcM synergists are positively associated with plant and fungal growth and have unique gene expression profiles compared with EcM-antagonist bacteria. In sum, we identify common mechanisms that facilitate widespread and diverse multipartite symbioses, which inform our understanding of how plants develop in complex environments.