4.8 Article

VipariNama: RNA viral vectors to rapidly elucidate the relationship between gene expression and phenotype

期刊

PLANT PHYSIOLOGY
卷 186, 期 4, 页码 2222-2238

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OXFORD UNIV PRESS INC
DOI: 10.1093/plphys/kiab197

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资金

  1. Department of Energy [DE-SC0018277]
  2. DARPA
  3. DARPA's Insect Allies Program [HR0011-172-0053]
  4. Grand Challenges in Biology Postdoctoral Program

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Researchers have developed a technology called ViN that utilizes vectors based on the tobacco rattle virus to rapidly deploy Cas9-based synthetic transcription factors and reprogram gene expression in plants. They have demonstrated that ViN vectors can activate or repress multiple genes systemically and persistently, leading to predictable changes in metabolic and developmental phenotypes in Nicotiana benthamiana, Arabidopsis, and tomato.
Synthetic transcription factors have great promise as tools to help elucidate relationships between gene expression and phenotype by allowing tunable alterations of gene expression without genomic alterations of the loci being studied. However, the years-long timescales, high cost, and technical skill associated with plant transformation have limited their use. In this work, we developed a technology called VipariNama (ViN) in which vectors based on the tobacco rattle virus are used to rapidly deploy Cas9-based synthetic transcription factors and reprogram gene expression in planta. We demonstrate that ViN vectors can implement activation or repression of multiple genes systemically and persistently over several weeks in Nicotiana benthamiana, Arabidopsis (Arabidopsis thaliana), and tomato (Solanum lycopersicum). By exploring strategies including RNA scaffolding, viral vector ensembles, and viral engineering, we describe how the flexibility and efficacy of regulation can be improved. We also show how this transcriptional reprogramming can create predictable changes to metabolic phenotypes, such as gibberellin biosynthesis in N. benthamiana and anthocyanin accumulation in Arabidopsis, as well as developmental phenotypes, such as plant size in N. benthamiana, Arabidopsis, and tomato. These results demonstrate how ViN vector-based reprogramming of different aspects of gibberellin signaling can be used to engineer plant size in a range of plant species in a matter of weeks. In summary, ViN accelerates the timeline for generating phenotypes from over a year to just a few weeks, providing an attractive alternative to transgenesis for synthetic transcription factor-enabled hypothesis testing and crop engineering.

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