4.7 Article

Optimization of in vitro and ex vitro Agrobacterium rhizogenes-mediated hairy root transformation of soybean for visual screening of transformants using RUBY

期刊

FRONTIERS IN PLANT SCIENCE
卷 14, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2023.1207762

关键词

hairy root transformation; gene functional analysis; artificial neural networks; soybean; visual detection

向作者/读者索取更多资源

In this study, in vitro and ex vitro Agrobacterium rhizogenes-mediated hairy root transformation (HRT) assays were optimized in soybean using the RUBY reporter. Various parameters were evaluated, and it was found that the in vitro assay was more efficient than the ex vitro assay in terms of the percentage of induction of hairy roots and transformed roots. However, the ex vitro technique was considered faster and less complicated. Machine learning-based modeling was used to define optimal protocols for both assays. This study establishes efficient and reliable hairy root transformation protocols applicable for functional studies in soybean.
In vitro and ex vitro Agrobacterium rhizogenes-mediated hairy root transformation (HRT) assays are key components of the plant biotechnology and functional genomics toolkit. In this report, both in vitro and ex vitro HRT were optimized in soybean using the RUBY reporter. Different parameters including A. rhizogenes strain, optical density of the bacterial cell culture (OD600), co-cultivation media, soybean genotype, explant age, and acetosyringone addition and concentration were evaluated. Overall, the in vitro assay was more efficient than the ex vitro assay in terms of the percentage of induction of hairy roots and transformed roots (expressing RUBY). Nonetheless, the ex vitro technique was deemed faster and a less complicated approach. The highest transformation of RUBY was observed on 7-d-old cotyledons of cv. Bert inoculated for 30 minutes with the R1000 resuspended in 1/4 B5 medium to OD600 (0.3) and 150 & mu;M of acetosyringone. The parameters of this assay also led to the highest percentage of RUBY through two-step ex vitro hairy root transformation. Finally, using machine learning-based modeling, optimal protocols for both assays were further defined. This study establishes efficient and reliable hairy root transformation protocols applicable for functional studies in soybean.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据