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Unraveling the roles of plant specialized metabolites: using synthetic biology to design molecular biosensors

期刊

NEW PHYTOLOGIST
卷 231, 期 4, 页码 1338-1352

出版社

WILEY
DOI: 10.1111/nph.17470

关键词

biosensors; engineered transcription factors; FRET-biosensors; in vivo metabolite detection; single-cell metabolism; specialized metabolites; synthetic biology

资金

  1. 'Synthetic Biology: from omics technologies to genomic engineering' (OMIC-ENGINE) under the Action Reinforcement of the Research and Innovation Infrastructure [MIS 5002636]
  2. Operational Programme Competitiveness, Entrepreneurship, and Innovation (NSRF 2014-2020)
  3. European Union (European Regional Development Fund)
  4. HORIZON 2020 research and innovation program BioRoBoost [N820699]

向作者/读者索取更多资源

Plants are a rich source of biologically active compounds, but the functions of these compounds are often unclear due to dynamic production and accumulation. Constructing biosensors using synthetic biology strategies to detect specialized metabolites can help determine their precise localization and develop system-level models to understand how their biosynthesis interacts with plant growth and development.
Plants are a rich source of specialized metabolites with a broad range of bioactivities and many applications in human daily life. Over the past decades significant progress has been made in identifying many such metabolites in different plant species and in elucidating their biosynthetic pathways. However, the biological roles of plant specialized metabolites remain elusive and proposed functions lack an identified underlying molecular mechanism. Understanding the roles of specialized metabolites frequently is hampered by their dynamic production and their specific spatiotemporal accumulation within plant tissues and organs throughout a plant's life cycle. In this review, we propose the employment of strategies from the field of Synthetic Biology to construct and optimize genetically encoded biosensors that can detect individual specialized metabolites in a standardized and high-throughput manner. This will help determine the precise localization of specialized metabolites at the tissue and single-cell levels. Such information will be useful in developing complete system-level models of specialized plant metabolism, which ultimately will demonstrate how the biosynthesis of specialized metabolites is integrated with the core processes of plant growth and development.

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