Abstract
<jats:p>Nitrogen fixation performed by rhizosphere bacteria has the potential to improve the sustainability of cereal crop cultivation. Deciphering the role of interspecies interactions on nitrogen fixation is crucial for devising strategies to enhance this process. To unravel the contributions of interspecies interactions, we constructed synthetic microbial communities from the bottom-up that contain diazotrophic bacteria that fix nitrogen and maize rhizosphere bacteria that do not have this capability. Interactions that impacted nitrogenase activity via growth-independent mechanisms were prevalent in the system. Nitrogenase activity increased and eventually saturated as a function of the number of inoculated diazotrophs. Using a tailored machine learning model for microbiome dynamics and explainable artificial intelligence, we deciphered species contributions on nitrogenase activity and diazotroph growth. We identified a community containing Klebsiella variicola, Herbaspirillum seropedicae, and Stutzerimonas stutzeri as a starting point for developing microbial inoculants for cereal crops. Taken together, these results provide insights into the role of interspecies interactions on nitrogenase activity.</jats:p>