Life history strategies and niches of soil bacteria emerge from interacting thermodynamic, biophysical, and metabolic traits

Author:

Marschmann Gianna L.,Tang Jinyun,Zhalnina Kateryna,Karaoz Ulas,Cho Heejung,Le Beatrice,Pett-Ridge Jennifer,Brodie Eoin L.

Abstract

AbstractEfficient biochemical transformation of belowground carbon by microorganisms plays a critical role in determining the long-term fate of soil carbon. As plants assimilate carbon from the atmosphere, up to 50% is exuded into the area surrounding growing roots, where it may be transformed into microbial biomass and subsequently stabilized through mineral associations. However, due to a hierarchy of interacting microbial traits, it remains elusive how emergent life-history strategies of microorganisms influence the processing of root exudate carbon. Here, by combining theory-based predictions of substrate uptake kinetics for soil bacteria and a new genome-informed trait-based dynamic energy budget model, we predicted life history traits and trade-offs of a broad range of soil bacteria growing on 82 root exudate metabolites. The model captured resource-dependent trade-offs between growth rate (power) and growth efficiency (yield) that are fundamental to microbial fitness in communities. During early phases of plant development, growth rates of bacteria were largely constrained by maximum growth potential, highlighting the predictive power of genomic traits during nutrient-replete soil conditions. In contrast, selection for efficiency was important later in the plant growing season, where the model successfully predicted microbial substrate preferences for aromatic organic acids and plant hormones. The predicted carbon-use efficiencies for growth on organics acids were much higher than typical values observed in soil. These predictions provide mechanistic underpinning for the apparent efficiency of the microbial route to mineral stabilization in the rhizosphere and add an additional layer of complexity to rhizosphere microbial community assembly.

Publisher

Cold Spring Harbor Laboratory

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