Data-driven synthetic microbes for sustainable future
Iqra Mariam, Ulrika Rova, Paul Christakopoulos, Λεωνίδας Μάτσακας, Alok Patel
Abstract
The escalating global environmental crisis demands transformative biotechnological solutions that are both sustainable and scalable. This perspective advocates Data-Driven Synthetic Microbes (DDSM); engineered microorganisms designed through integrating omics, machine learning, and systems biology to tackle challenges like PFAS degradation, greenhouse gas mitigation, and sustainable biomanufacturing. DDSMs offer a rational framework for developing robust microbial systems, reshaping the future of synthetic biology toward environmental resilience and circular bioeconomy.
Topics & Concepts
Synthetic biologyBiomanufacturingTransformative learningResilience (materials science)SustainabilitySustainable developmentBiochemical engineeringScalabilityComputer scienceEngineeringBiotechnologyEcologyBiologyComputational biologySociologyDatabasePhysicsPedagogyThermodynamicsMicrobial Metabolic Engineering and BioproductionGene Regulatory Network Analysis