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A versatile high throughput screening platform for plant metabolic engineering highlights the major role of ABI3 in lipid metabolism regulation

24 Nov 2019 · 10.1101/853606

Abstract

Traditional functional genetic studies in crops are time-consuming, complicated and cannot be readily scaled up. The reason is that mutant or transformed crops need to be generated to study the effect of gene modifications on specific traits of interest. However, many crop species have a complex genome and a long generation time. As a result, it usually takes several months to over a year to obtain desired mutants or transgenic plants, which represents a significant bottleneck in the development of new crop varieties. To overcome this major issue, we are currently establishing a versatile plant genetic screening platform, amenable to high throughput screening in almost any crop species, with a unique workflow. This platform combines protoplast transformation and fluorescence-activated cell sorting. Here we show that tobacco protoplasts can accumulate high levels of lipids if transiently transformed with genes involved in lipid biosynthesis and can be sorted based on lipid content. Hence, protoplasts can be used as a predictive tool for plant lipid engineering. Using this newly established strategy, we demonstrate the major role of ABI3 in plant lipid accumulation. We anticipate that this workflow can be applied to numerous highly valuable metabolic traits other than storage lipid accumulation. This new strategy represents a significant step towards screening complex genetic libraries, in a single experiment and in a matter of days, as opposed to years by conventional means.

Plant phenotyping relevance

植物プロトプラストの脂質含量を蛍光活性化セルソーティングで測定・選別する高スループット表現型スクリーニング基盤の開発が中心であり、単なる生物学的測定ではない。

abstractwe are currently establishing a versatile plant genetic screening platform, amenable to high throughput screening in almost any crop species, with a unique workflow
abstractThis platform combines protoplast transformation and fluorescence-activated cell sorting.
abstractprotoplasts can be used as a predictive tool for plant lipid engineering

Code and data availability

The supplied blocks describe protoplast lipid phenotyping, flow cytometry/FACS measurements, and R (lme4) statistical analysis, but contain no data availability statement, public dataset deposit, author code repository, or supplement with paper-specific assets. No qualifying public asset is present.

No evidence-backed public reproduction asset is currently recorded.

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