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Predictive Phenomics Science & Technology Initiative

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  3. Predictive Phenomics Science & Technology Initiative

Visual Gallery

Videos

 

At PNNL, researchers are pioneering predictive phenomics—a process that reveals how microbes function and respond to their environment—to engineer them for real-world impact. From deconstructing biomass, to advancing synthetic biology to scaling up resilient bioproduction, predictive phenomics is unlocking faster discoveries and stronger technologies. Together, these advances are helping supercharge the bioeconomy and drive solutions for energy, industry, and national security. (Video by Eddie Pablo | Pacific Northwest National Laboratory)
PNNL senior scientist John Melchior and his team are dedicated to improving human health. In this video, Melchior briefly describes his research into understanding human metabolism and disease using a combination of structural biology and molecular profiling tools. (Video by Graham Bourque | Pacific Northwest National Laboratory)

 

Photos

Researchers are studying microbial communities.

One PPI project, led by Ryan McClure, constructed and characterized an ideal bacterial community where individuals worked together to create an outcome greater than any member could do alone, thereby creating a productive relationship that could be used to help power the bioeconomy. 

A close-up inside the Tecan Fluent liquid handling instrument

The Tecan Fluent installed in BSF will enable the development of autonomous scientific workflows with microbial systems that advance extensible artificial intelligence at PNNL and demonstrate research leadership in support of the U.S. bioeconomy.

Josh Elmore conducts research for the Predictive Phenomics Initiative

Researchers are developing a technique called genetic code expansion to augment bacteria with unnatural amino acids, leading to new bacterial functions.

Researchers are using compartmented dishes with glass beads to inoculate a plant

Researchers are using compartmented dishes with glass beads to inoculate a plant (Medicago truncatula) with arbuscular mycorrhizal fungi (Rhizophagus irregularis). The setup allows for a root-free fungal hyphal compartment to measure molecular exchanges between phosphate solubilizing bacteria (Pseudomonas putida) and the fungi using advanced mass-spectrometry based omics.

The project, which is building towards a predictive understanding of molecular interactions between plants, fungi, and bacteria for improving plant nutrient uptake, is part of the lab’s Predictive Phenomics Initiative.

Bohutskyi investigates how dynamic environmental conditions and rhythmic cycles affect photosynthetic microbes. Through predictive phenomics—studying how these organisms produce chemicals and foods like sugars

Researcher Pavlo Bohutskyi investigates how dynamic environmental conditions and rhythmic cycles affect photosynthetic microbes. Through predictive phenomics—studying how these organisms produce chemicals and foods like sugars—he uncovers crucial insights into the key regulatory switches governing metabolic pathways. This research reveals how we might manipulate these biological systems to enhance bioproduction for sustainable energy and materials.

A researcher takes a sample from a bioreactor.

Researchers take samples of oleaginous yeast cultivations in bioreactors at the Bioproducts Sciences & Engineering Laboratory as part of a Predictive Phenomics Initiative project. In the experiments, researchers are analyzing bioprocess stress effects on biochemical and lipid production of yeast that typically struggle going from bench top size reactors to industrial ones.

Related organizations

EMSL, the Environmental Molecular Sciences Laboratory

Research topics

Predictive Phenomics
Biology

Lab-Level Communications Priority Topics

Predictive Phenomics

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