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Compositional shifts in root-associated bacterial and archaeal microbiota track the plant life cycle in field-grown rice

Joseph EdwardsDepartment of Plant Biology, University of California-Davis, Davis, California, United States of AmericaChristian Santos‐MedellínDepartment of Plant Biology, University of California-Davis, Davis, California, United States of AmericaZachary LiechtyDepartment of Plant Biology, University of California-Davis, Davis, California, United States of AmericaBao NguyenDepartment of Plant Biology, University of California-Davis, Davis, California, United States of AmericaEugene LurieDepartment of Plant Biology, University of California-Davis, Davis, California, United States of AmericaShane EasonDepartment of Agriculture, Arkansas State University, Jonesboro, Arkansas, United States of AmericaGregory C. PhillipsDepartment of Agriculture, Arkansas State University, Jonesboro, Arkansas, United States of AmericaVenkatesan SundaresanDepartment of Plant Biology, University of California-Davis, Davis, California, United States of America
2018en
ABI

Аннотация

Bacterial communities associated with roots impact the health and nutrition of the host plant. The dynamics of these microbial assemblies over the plant life cycle are, however, not well understood. Here, we use dense temporal sampling of 1,510 samples from root spatial compartments to characterize the bacterial and archaeal components of the root-associated microbiota of field grown rice (Oryza sativa) over the course of 3 consecutive growing seasons, as well as 2 sites in diverse geographic regions. The root microbiota was found to be highly dynamic during the vegetative phase of plant growth and then stabilized compositionally for the remainder of the life cycle. Bacterial and archaeal taxa conserved between field sites were defined as predictive features of rice plant age by modeling using a random forest approach. The age-prediction models revealed that drought-stressed plants have developmentally immature microbiota compared to unstressed plants. Further, by using genotypes with varying developmental rates, we show that shifts in the microbiome are correlated with rates of developmental transitions rather than age alone, such that different microbiota compositions reflect juvenile and adult life stages. These results suggest a model for successional dynamics of the root-associated microbiota over the plant life cycle.

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