Genome-scale model-guided microbial engineering converts agricultural waste into biodegradable bioplastics
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 18:17 ET (27-Oct-2026 22:17 GMT/UTC)
The study introduces an integrated engineering framework that combines transcriptomic analysis with a transcriptome-constrained genome-scale metabolic model (GEM) to identify metabolic engineering targets for enhanced bioplastic production. Rather than relying on conventional trial-and-error strain engineering, the approach predicts genetic modifications that redirect metabolic flux toward product biosynthesis, providing a new strategy for agricultural waste valorization and sustainable biomanufacturing.
Kyoto, Japan -- Close to a phase transition, very different materials can follow the same mathematical rules. The concept of universality, which groups seemingly distinct systems based on their common properties, was developed to describe this phenomenon. In magnetic systems, ferromagnets, ferrimagnets, and antiferromagnets fall into the same universality class when short-range interactions dominate and their spatial and spin dimensionalities coincide. However, this universality has not been established when long-range interactions dominate.
In insulating magnets, long-range coupling may originate from dipole-dipole interactions. However, dipolar-driven mean-field criticality has only been firmly established in ferromagnets, leaving the ferrimagnetic and antiferromagnetic cases unexplored. A collaborative team of researchers from Kyoto University, Tohoku University, and the Australian Nuclear Science and Technology Organisation (ANSTO), set out to bridge this gap.
"Near a phase transition, the microscopically strongest interaction is not always the one that sets the critical rules," explains corresponding author Yusuke Nambu. "Exchange interactions build the ferrimagnetic state, but because dipolar interactions reach much farther, they determine how the material approaches the transition."