Tailoring Corynebacterium glutamicum for Sustainable Biomanufacturing: From Traditional to Cutting-Edge Technologies

Kurpejović E., SARIYAR AKBULUT B., Avci F. G.

Molecular Biotechnology, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s12033-025-01447-z
  • Dergi Adı: Molecular Biotechnology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Compendex, Food Science & Technology Abstracts, Index Islamicus, INSPEC, MEDLINE, Veterinary Science Database
  • Anahtar Kelimeler: Corynebacterium glutamicum, Genome engineering, High-throughput analysis, Machine learning, Transcription modulation
  • Marmara Üniversitesi Adresli: Evet

Özet

As the workhorse of industrial amino acid production, Corynebacterium glutamicum is the focus of this review, which provides a comprehensive overview of available techniques employed to engineer strains with desired traits. The review highlights both traditional and cutting-edge approaches with a brief introduction to the bacterium’s physiology, serving as a foundation for understanding its metabolic capabilities and potential applications. Genome modulation techniques by contrasting traditional methods with CRISPR-based approaches, as well as transcription modulation strategies that enhance gene expression and metabolic flux, and high-throughput techniques that streamline strain development processes are summarized. Furthermore, the roles of artificial intelligence and machine learning in genetic engineering are explored, emphasizing their growing impact on strain development.