Genetic Manipulation of Transcriptional Regulators Alters Nicotine Biosynthesis in Tobacco
Author(s) -
Shunya Hayashi,
Mutsumi Watanabe,
Makoto Kobayashi,
Takayuki Tohge,
Takashi Hashimoto,
Tsubasa Shoji
Publication year - 2020
Publication title -
plant and cell physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.975
H-Index - 152
eISSN - 1471-9053
pISSN - 0032-0781
DOI - 10.1093/pcp/pcaa036
Subject(s) - nicotiana benthamiana , nicotiana , nicotiana tabacum , nicotine , nornicotine , biology , transcription factor , ectopic expression , transgene , mutant , microbiology and biotechnology , alkaloid , gene , genetics , solanaceae , botany , neuroscience
The toxic alkaloid nicotine is produced in the roots of Nicotiana species and primarily accumulates in leaves as a specialized metabolite. A series of metabolic and transport genes involved in the nicotine pathway are coordinately upregulated by a pair of jasmonate-responsive AP2/ERF-family transcription factors, NtERF189 and NtERF199, in the roots of Nicotiana tabacum (tobacco). In this study, we explored the potential of manipulating the expression of these transcriptional regulators to alter nicotine biosynthesis in tobacco. The transient overexpression of NtERF189 led to alkaloid production in the leaves of Nicotiana benthamiana and Nicotiana alata. This ectopic production was further enhanced by co-overexpressing a gene encoding a basic helix-loop-helix-family MYC2 transcription factor. Constitutive and leaf-specific overexpression of NtERF189 increased the accumulation of foliar alkaloids in transgenic tobacco plants but negatively affected plant growth. By contrast, in a knockout mutant of NtERF189 and NtERF199 obtained through CRISPR/Cas9-based genome editing, alkaloid levels were drastically reduced without causing major growth defects. Metabolite profiling revealed the impact of manipulating the nicotine pathway on a wide range of nitrogen- and carbon-containing metabolites. Our findings provide insights into the biotechnological applications of engineering metabolic pathways by targeting transcription factors.
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