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Article

Fine-tuning sugar content in strawberry.

Genome biology - 3 Sept 2020

Xing Sinian, Chen Kunling, Zhu Haocheng, Zhang Rui, Zhang Huawei, Li Bingbing, Gao Caixia

Abstract excerpt

Fine-tuning quantitative traits for continuous subtle phenotypes is highly advantageous. We engineer the highly conserved upstream open reading frame (uORF) of FvebZIPs1.1 in strawberry (Fragaria vesca), using base editor A3A-PBE. Seven novel alleles are generated. Sugar content of the homozygous T1 mutant lines is 33.9-83.6% higher than that of the wild-type. We also recover a series of transgene-free mutants...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32883370
DOI: 10.1186/s13059-020-02146-5
PMCID: PMC7470447

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