Data-driven synthetic microbes for sustainable future

被引：0
作者：
Mariam, Iqra [1 ,2 ]
Rova, Ulrika [1 ,2 ]
Christakopoulos, Paul [1 ,2 ]
Matsakas, Leonidas [1 ,2 ]
Patel, Alok [1 ,2 ]
机构：
[1] Lulea Univ Technol, Dept Civil Environm, Div Chem Engn, Biochem Proc Engn, SE-97187 Lulea, Sweden
[2] Lulea Univ Technol, Nat Resources Engn, SE-97187 Lulea, Sweden
来源：
NPJ SYSTEMS BIOLOGY AND APPLICATIONS | 2025年 / 11卷 / 01期
基金：
瑞典研究理事会;
关键词：
KNOCKOUT STRATEGIES; BIOLOGY; SEQUENCE; DEGRADATION; PREDICTION; FRAMEWORK; GENOME;
D O I：
10.1038/s41540-025-00556-4
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
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页数：9
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