Metabolic engineering to produce plant secondary metabolites represents a cutting-edge area in plant biotechnology. This field focuses on enhancing the synthesis of valuable compounds (secondary metabolites) that plants produce which are not essential for their growth but have significant uses in medicine, nutrition, and agriculture. Central to this discipline are advanced genetic engineering tools such as CRISPR-Cas9, TALENs, and ZFNs. These technologies enable precise modifications to plant DNA, allowing scientists to either insert new genes or edit existing ones to boost metabolite production. Alongside these tools, omics technologies, encompassing genomics, transcriptomics, proteomics, and metabolomics, provide comprehensive data that helps in understanding and manipulating plant metabolic pathways. Bioinformatics and computational tools, including specialized software, databases, and machine learning applications, are crucial in metabolic engineering. They facilitate the analysis and interpretation of vast amounts of biological data, guiding the design and optimization of metabolic engineering strategies. Metabolic engineering leverages plant bioprocesses to produce valuable secondary metabolites. By precisely tweaking genetic and regulatory elements, researchers can unlock new applications for plants, providing innovative solutions to pressing challenges in healthcare, nutrition, and agriculture.

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Metabolic Engineering for Plant Secondary Metabolites Production

  • Sudipta Kumar Mohanty,
  • B. K. Indu,
  • Sharad S. Achar,
  • G. Suhasa,
  • Umalatha

摘要

Metabolic engineering to produce plant secondary metabolites represents a cutting-edge area in plant biotechnology. This field focuses on enhancing the synthesis of valuable compounds (secondary metabolites) that plants produce which are not essential for their growth but have significant uses in medicine, nutrition, and agriculture. Central to this discipline are advanced genetic engineering tools such as CRISPR-Cas9, TALENs, and ZFNs. These technologies enable precise modifications to plant DNA, allowing scientists to either insert new genes or edit existing ones to boost metabolite production. Alongside these tools, omics technologies, encompassing genomics, transcriptomics, proteomics, and metabolomics, provide comprehensive data that helps in understanding and manipulating plant metabolic pathways. Bioinformatics and computational tools, including specialized software, databases, and machine learning applications, are crucial in metabolic engineering. They facilitate the analysis and interpretation of vast amounts of biological data, guiding the design and optimization of metabolic engineering strategies. Metabolic engineering leverages plant bioprocesses to produce valuable secondary metabolites. By precisely tweaking genetic and regulatory elements, researchers can unlock new applications for plants, providing innovative solutions to pressing challenges in healthcare, nutrition, and agriculture.