The results demonstrate that the AI-designed OpenCRISPR-1 system is a highly active and versatile nuclease for dicot genome engineering, offering a powerful, commercially unencumbered tool to accelerate global crop trait improvement.
Abstract
The widespread application of CRISPR/Cas genome editing for commercial crop improvement is currently hindered by a complex and restrictive intellectual property (IP) landscape. The recent development of OpenCRISPR-1, a fully AI-designed and open-source Cas9-like nuclease, provides a promising, IP-unencumbered alternative; however, its efficacy in dicotyledonous plants remains largely uncharacterized. Here, we report the successful adaptation of the OpenCRISPR-1 system for highly efficient targeted mutagenesis in dicots. We constructed a plant-optimized binary vector (pBSE-OpenCRISPR-1) and validated its editing capability across two species. In soybean (Glycine max), targeting the GmFAD2-1B gene via an Agrobacterium rhizogenes-mediated hairy root transformation system yielded a robust mutation rate of approximately 50%. In Nicotiana benthamiana, stable Agrobacterium-mediated transformation targeting the phytoene desaturase homologs (NbPDSa/b) achieved a 75% editing efficiency in T0 lines, with up to 13.8% of events displaying complete homozygous or biallelic mutations and the corresponding visible albino phenotypes. Deep amplicon and Sanger sequencing revealed a characteristic mutation profile dominated by 1-bp insertions and small deletions occurring two to three nucleotides upstream of the PAM. These results demonstrate that the AI-designed OpenCRISPR-1 system is a highly active and versatile nuclease for dicot genome engineering, offering a powerful, commercially unencumbered tool to accelerate global crop trait improvement. Key message The AI-designed, open-source OpenCRISPR-1 system mediates highly efficient targeted mutagenesis in dicotyledonous plants, achieving up to 75% editing efficiency and robust biallelic mutations in T0 transformants, thereby providing a powerful, IP-unencumbered platform for agricultural biotechnology.
This optimized PE system substantially enhances PE efficiency in Cucurbit crops, providing an effective solution to common challenges such as low editing efficiency and limited heritability in these species.
Junya Wang, Ling Xiao, Tongxu Xin et al.· Journal of Integrative Plant...· 0 citations
The present study addresses optimization of in-vitro regeneration via direct organogenesis and Agrobacterium-mediated genetic transformation, enabling efficient multiplex CRISPR/Cas9-based genome editing of the phytoene desaturase (PsPDS) gene in pea. Pea (Pisum sativum L.) is an important legume crop valued for food,...
A substantial decrease in menthofuran content in the essential oil of the edited line #10 compared to the wild-type control is revealed, thereby demonstrating a viable strategy for improving mint essential oil quality through genome-editing.
This protocol presents a step-by-step approach for generating bispyribac sodium-tolerant rice using the CRISPR/Cas-mediated editing of the ALS gene, and offers a robust framework for producing HT rice lines, potentially reducing reliance on conventional herbicide regimes and mitigating the risk of resistance developmen...
D. Sreekanth, Chandrakant Singh, D. Pawar et al.· Methods in molecular biology· 0 citations
Rice (Oryza sativa L.) is a staple food crop worldwide, and improving disease resistance is a core target in rice breeding. In this study, we employed CRISPR/Cas9 genome editing to modify the coding sequence (CDS) of two susceptibility genes, Bsr-d1 and Pi21, in the elite maintainer line Gengxiang B to enhance its blas...
Ke Lan, Lin Yuan, Da-Cheng Zhao et al.· Plants· 0 citations
A RUBY-based visual hairy root genetic transformation system was established, which provided preliminary evidence that CRISPR-PTG-mediated targeted mutagenesis can occur in E. ulmoides hairy roots, and a reference for genetic transformation studies of other woody plants.
Lin-Qing Xu, Ya-Ni Zhou, Yong-Feng Sun et al.· Plants· 0 citations
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.