"The big advance here," said corresponding author Bart, "is that we observed similar patterns in a controlled environment and in the field. That result tells us that our lab observations are real and relevant to agriculture." Strikingly, the research team also identified a new microbe that promoted root growth, a critical characteristic to improve crop resilience to drought.
The research, which took place over the course of the last five years, was not without its own challenges. "Environmental variation makes the real world a noisy place to conduct science," wrote first author and Danforth Center Senior Data Scientist Jeffrey Berry. The authors needed to develop a model to account for confounding biological variables in field experiments—factors like soil pH and phosphate content, which can vary wildly across a field site.
By combining giant, multivariate datasets from collaborators across several institutions, including at University of Nebraska-Lincoln, Iowa State University, Washington State University, University of North Carolina-Chapel Hill, Colorado State University, and the Joint Genome Institute, Berry was able to use sophisticated computational models to understand and overcome variation in the field.
In addition to tackling complicated statistics and collaborating with scientists across the country, part of the teams' success was having access to the Danforth Center's unparalleled research infrastructure. For example, the authors used The Bellwether Foundation Phenotyping Facility to visualize and quantify how drought and microbe treatments affected sorghum growth and development as part of their controlled lab experiments.
Click here to see more...