論文

査読有り
2020年9月

Targeted mutagenesis ofCENTRORADIALISusing CRISPR/Cas9 system through the improvement of genetic transformation efficiency of tetraploid highbush blueberry

JOURNAL OF HORTICULTURAL SCIENCE & BIOTECHNOLOGY
  • Masafumi Omori
  • ,
  • Hisayo Yamane
  • ,
  • Keishi Osakabe
  • ,
  • Yuriko Osakabe
  • ,
  • Ryutaro Tao

記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/14620316.2020.1822760
出版者・発行元
TAYLOR & FRANCIS LTD

Genome editing technology, which enables researchers to modify specific genomic loci, may be useful for accelerating the breeding of many fruit crops. The aim of this study was to evaluate the CRISPR/Cas9-mediated editing of the blueberry (Vacciniumspp.) genome. We first optimised the plant regeneration system to increase the genetic transformation efficiency for 'Blue Muffin' and 'O'Neal'. We also tested the utility of the axillary bud transformation technique for modifying blueberry genes. We revealed that the axillary bud transformation method accelerated the blueberry transformation process and increased the transformation rate. Of the 47 transgenic lines obtained for two cultivars, six lines contained a mutatedCENTRORADIALIS(CEN) region. A sequence analysis revealed 1- to 2-bp insertions/deletions inCENalleles, with an average mutated allele ratio of 19% and 22% for gRNA1 and gRNA2, respectively. Two of four gRNAs (gRNA 3, 4) did not produce mutations, suggesting that selecting appropriate gRNA sequences is critical for genome editing. The growth phenotypes of theCEN-mutated lines imply a non-functionalCENallele in the blueberry genome may restrict vegetative growth. The results described herein confirm the utility of the CRISPR/Cas9 genome editing protocol for functionally characterising blueberry genes.

リンク情報
DOI
https://doi.org/10.1080/14620316.2020.1822760
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000571291200001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1080/14620316.2020.1822760
  • ISSN : 1462-0316
  • eISSN : 2380-4084
  • Web of Science ID : WOS:000571291200001

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