Root exudates influence soil microbial community assembly and function, yet plant species-specific effects on microbially-driven metabolic transformations remain insufficiently characterized under controlled conditions. Here, we present a multi-omic dataset of exudate-microbe interactions across six plant species, including tallgrass prairie species (Helianthus pauciflorus, Carex brevior, Eragrostis spectabilis, Astragalus canadensis, and Panicum virgatum) and a model grass (Brachypodium distachyon), generated using an in vitro incubation experiment. Sterile root exudates were used to amend a soil-mimicking medium inoculated with a native tall-grass prairie soil microbiome. The dataset includes full-length 16S rRNA gene sequencing for microbial community profiling, untargeted LC-MS/MS metabolomics for exometabolomic profiling, and optical density measurements of microbial growth. We describe the axenic plant growth protocols, experimental design, data acquisition, processing workflows, and technical validation. This dataset provides a resource for investigating microbially mediated exometabolite transformations across diverse plant species to help understand rhizosphere processes, microbiome assembly, and ecosystem function.
Novak, V., de Raad, M., Vittaladevuni, A., Saraf, V., Midgley, M., Hernandez, C., Barber, N. A., Northen, T. R.
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