Publications

Journal Article Review Epublish

PubMed: 40624030 DOI: 10.1038/s41540-025-00556-4

Data-driven synthetic microbes for sustainable future.

NPJ Syst Biol Appl 11(1):74

Authors: Iqra Mariam, Ulrika Rova, Paul Christakopoulos, Leonidas Matsakas, Alok Patel

Affiliations

  • Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental, and Natural Resources Engineering, LuleÃ¥ University of Technology, SE-971 87, LuleÃ¥, Sweden.
  • Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental, and Natural Resources Engineering, LuleÃ¥ University of Technology, SE-971 87, LuleÃ¥, Sweden.

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.

MeSH

Systems Biology