Order among chaos: high throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system

The likelihood that a host will be susceptible to infection is influenced by the interaction of diverse biotic and abiotic factors. As a result, substantial experimental replication and scalability are required to identify the contributions of and interactions between the host, and the environment, and biotic factors such as the microbiome. For example, pathogen infection success is known to vary by host genotype, microbiota strain identity and dose, and pathogen dose. Elucidating the interactions between these factors in vivo has been challenging because testing combinations of these variables quickly becomes experimentally intractable. Here, we describe a novel high throughput plant growth system (MYCroplanters) to test how multiple host, microbiota, and pathogen variables predict host health. Using an Arabidopsis-Pseudomonas host-microbiota-pathogen model, we found that host genotype and bacterial strain order of arrival predict host susceptibility to infection, but pathogen and micr..., This dataset includes all raw data generated from MYCroplanter experiments between January 2021 through March 2024. We have also included processing code (for image processing) and STL files for 3D printing MYCroplanters. 
MYCroplanter data (01_Analysispath_compratio, 02_Analysispath_fluoranalysis, 03_Analysispath_priorityeffects)
MYCroplanters are custom 3D printed polylactic acid (PLA) micro-planters that grow Arabidopsis thaliana seedlings in 96-well plates. Sterile MYCroplanters (sterilized with chlorine gas) were placed in a 8x12 array germination tray on top of solid plant media containing 1/2X MS, 0.5% MES, 2% sucrose, 0.5% phytoagar, pH 5.8 (pH adjusted with 1M KOH). The germination tray were placed inside a standard single-well polystyrene plate. Sterile A. thaliana seeds (sterilized with 0.3% H2O2 + 70% EtOH and cold-stratified in advance for 2-5 days) were individually pipetted into each MYCroplanter such that seeds rest directly on the phytoagar below the mycroplanter. Plant..., , # Data from: Order among chaos: high throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system

[https://doi.org/10.5061/dryad.w9ghx3fxd](https://doi.org/10.5061/dryad.w9ghx3fxd)

This dataset is the complete collection of raw data for the manuscript, \"Order among chaos: high throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system\" by Chen et al 2025 *PLOS Pathogens*.

## Description of the data and file structure

Unless otherwise stated, NA means data are not applicable and a empty cell means data was not collected. Experiments were named with the naming convention: 'YYYY-MM-DD_[short description of experiment]', where the date is the day plants were inoculated.

### **01\_Analysispath\_compratio**

This includes data and metadata from MYCroplanter experiments used to determine the effect of inoculation ratio on plant health outcome. This data were used in Figures 1, 2, and 3 from t...