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

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 is however, not well understood. Here, we use dense temporal sampling of 1588 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 three consecutive growing seasons, as well as two sites in diverse geographic regions. The root microbiota was found to be highly dynamic during the vegetative phase of plant growth, 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 forests 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

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

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

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

<div><p>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 (<i>Oryza sativa</i>) 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.</p></div

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

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 is however, not well understood. Here, we use dense temporal sampling of 1588 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 three consecutive growing seasons, as well as two sites in diverse geographic regions. The root microbiota was found to be highly dynamic during the vegetative phase of plant growth, 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 forests 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

R object containing taxonomic information for each OTU

This is an R object (.rds file) containing the taxonomic information for all possible OTUs detected in this dataset. These are the GreenGenes 13_8 97% reference OTUs

California 2016 R object.

R object containing the data for the California 2016 season in "tidy" format

Arkansas 2016 and California 2014-15 R object

R object for Arkansas 2016 and California 2014-2015 Seasons in "tidy" format. That is, each variable is a column and each row corresponds to a single observation. This can be used directly with the R scripts in the github repo: https://github.com/bulksoil/LifeCycleManuscrip

OTU Table Clustered at 97% for all samples

A gzipped tab separated file. The OTU identifiers are in the column 'OTUID'. This is a matrix where each row represents one OTU and each column represents one sample (corresponding to "SampleID" in the mapping file). The data can be unzipped in the UNIX/LINUX terminal using the command 'gunzip lc_study_otu_table.tsv.gz

Organellar OTUs

R object (.rds file) containing all of the detected mitochondrial and plastid OTUs from the Greengenes 13_8 reference database