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Generation of parthenocarpic tomato plants in multiple elite cultivars using the CRISPR/Cas9 system. | LitMetric

Generation of parthenocarpic tomato plants in multiple elite cultivars using the CRISPR/Cas9 system.

Mol Breed

Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju, Korea.

Published: February 2024


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Article Abstract

Unlabelled: Tomato ( L.) is one of the most important crops in the world for its fruit production. Advances in cutting-edge techniques have enabled the development of numerous critical traits related to the quality and quantity of tomatoes. Genetic engineering techniques, such as gene transformation and gene editing, have emerged as powerful tools for generating new plant varieties with superior traits. In this study, we induced parthenocarpic traits in a population of elite tomato (ET) lines. At first, the adaptability of ET lines to genetic transformation was evaluated to identify the best-performing lines by transforming the gene overexpression cassette and then later used to produce the knockout lines using the CRISPR/Cas9 system. ET5 and ET8 emerged as excellent materials for these techniques and showed higher efficiency. Typical phenotypes of knockout were clearly visible in G0 and G1 plants, in which simple leaves and parthenocarpic fruits were observed. The high efficiency of the CRISPR/Cas9 system in developing new tomato varieties with desired traits in a short period was demonstrated by generating T-DNA-free homozygous knockout plants in the G1 generation. Additionally, a simple artificial fertilization method was successfully applied to recover seed production from parthenocarpic plants, securing the use of these varieties as breeding materials.

Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-024-01452-1.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10838257PMC
http://dx.doi.org/10.1007/s11032-024-01452-1DOI Listing

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