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The most devastating disease affecting the global citrus industry is Huanglongbing (HLB), caused by the pathogen Candidatus Liberibacter asiaticus. HLB is primarily spread by the insect vector Diaphorina citri (Asian Citrus Psyllid). To counteract the rapid spread of HLB by D. citri, traditional vector control strategies such as insecticide sprays, the release of natural predators, and mass introductions of natural parasitoids are used. However, these methods alone have not managed to contain the spread of disease. To further expand the available tools for D. citri control through generating specific modifications of the D. citri genome, we have developed protocols for CRISPR-Cas9-based genetic modification. Until now, genome editing in D. citri has been challenging due to the general fragility and size of D. citri eggs. Here we present optimized methods for collecting and preparing eggs to introduce the Cas9 ribonucleoprotein (RNP) into early embryos and alternative methods of injecting RNP into the hemocoel of adult females for ovarian transduction. Using these methods, we have generated visible somatic mutations, indicating their suitability for gene editing in D. citri. These methods represent the first steps toward advancing D. citri research in preparation for future genetic-based systems for controlling HLB.
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RNP-Based Control Systems for Genetic Circuits in Synthetic Biology Beyond CRISPR
Ribonucleoproteins (RNPs) are RNA-protein complexes utilized natively in both prokaryotes and eukaryotes to regulate essential processes within the cell. Over the past few years, many of these native systems have been adapted to provide control over custom genetic targets. Engineered RNP-based control systems allow for fine-tune regulation of desired targets, by providing customizable nucleotide-nucleotide interactions. However, as there have been several engineered RNP systems developed recently, identifying an optimal system for various bioprocesses is challenging. Here, we review the most successful engineered RNP systems and their applications to survey the current state of the field. Additionally, we provide selection criteria to provide users a streamlined method for identifying an RNP control system most useful to their own work. Lastly, we discuss future applications of RNP control systems and how they can be utilized to address the current grand challenges of the synthetic biology community.
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- Award ID(s):
- 1716777
- PAR ID:
- 10344285
- Date Published:
- Journal Name:
- Methods in molecular biology
- Volume:
- 2518
- ISSN:
- 0097-0816
- Page Range / eLocation ID:
- 1-31
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1007/978-1-0716-2421-0_1
