Fine-tuning sugar content in strawberry

Sinian Xing, Kunling Chen, Haocheng Zhu, Rui Zhang, Huawei Zhang, Bingbing Li, Caixia Gao
<span title="2020-09-03">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bzsiicmhvczjnsm7jbog7ysaa" style="color: black;">Genome Biology</a> </i> &nbsp;
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 with 35 novel genotypes containing a continuum of sugar content. All the novel
more &raquo; ... es could be immediately fixed in subsequent generations by asexual reproduction. Genome editing coupled with asexual reproduction offers tremendous opportunities for quantitative trait improvement.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13059-020-02146-5">doi:10.1186/s13059-020-02146-5</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32883370">pmid:32883370</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7470447/">pmcid:PMC7470447</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l72jkkpltveo5e2yrrjg4ttnpy">fatcat:l72jkkpltveo5e2yrrjg4ttnpy</a> </span>
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