A high-efficiency genetic transformation system was established without genotype broccoli

Recently, “Frontiers in Plant Science” published two scientific research results of the cabbage broccoli research group of the Institute of Vegetables and Flowers of the Chinese Academy of Agricultural Sciences.

Broccoli. Photo courtesy of the Institute of Vegetables, Chinese Academy of Agricultural Sciences

One study finally obtained universal receptor homozygous material (19B42), which increased the efficiency of Agrobacterium tufacie-mediated broccoli transgene and gene editing (CRISPR/cas9) to 26.92%, exceeding the international average of similar studies.

Another research system constructed three core technologies: high-efficiency separation and culture technology system of broccoli protoplasts (yield >5×106/mL, vitality higher than 95%); A PEG-Ca2+-mediated genotype-independent genotype-independent transient transformation system of broccoli protoplasts was systematically established, which could induce seedling formation through systematic culture. Subcellular localization of functional genes under reporter tags such as GFP and YFP was rapidly realized.

This means that this study has successfully established and improved a set of high-efficiency broccoli genetic transformation system that does not depend on genotype, which provides scientific and technological support for improving the efficiency of biological breeding and accurate trait improvement.

Zhao Yongyu and Yang Dongxu, master’s students at the Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, are the first authors of the two papers, and Li Zhansheng, associate researcher, is the corresponding author.

The research was supported by the National Natural Science Foundation of China, the National Bulk Vegetable Industry Technology System, the Chinese Academy of Agricultural Sciences Innovation Engineering Grade Scientific Research Business Fund, and the Chinese Academy of Agricultural Sciences Innovation Engineering High-end Vegetables. (Source: Li Chen, China Science News)

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