The development of CRISPR–Cas systems has sparked a genome editing revolution in plant genetics and breeding. These sequence-specific RNA-guided nucleases can induce DNA double-stranded breaks, resulting in mutations by imprecise non-homologous end joining (NHEJ) repair or precise DNA sequence replacement by homology-directed repair (HDR). However, HDR is highly inefficient in many plant species, which has greatly limited precise genome editing in plants. To fill the vital gap in precision editing, base editing and prime editing technologies have recently been developed and demonstrated in numerous plant species. These technologies, which are mainly based on Cas9 nickases, can introduce precise changes into the target genome at a single-base resolution. This Review provides a timely overview of the current status of base editors and prime editors in plants, covering both technological developments and biological applications. This Review summarizes the current status of base editors and prime editors in plants, reporting both technological developments and biological applications of these precise genome editors.

Precise plant genome editing using base editors and prime editors.

RNA-guided CRISPR activation (CRISPRa) systems have been developed in plants. However, the simultaneous activation of multiple genes remains challenging. Here, we develop a highly robust CRISPRa system working in rice, Arabidopsis and tomato, CRISPR-Act3.0, through systematically exploring different effector recruitment strategies and various transcription activators based on deactivated Streptococcus pyogenes Cas9 (dSpCas9). The CRISPR-Act3.0 system results in fourfold to sixfold higher activation than the state-of-the-art CRISPRa systems. We further develop a tRNA-gR2.0 (single guide RNA 2.0) expression system enabling CRISPR-Act3.0-based robust activation of up to seven genes for metabolic engineering in rice. In addition, CRISPR-Act3.0 allows the simultaneous modification of multiple traits in Arabidopsis, which are stably transmitted to the T3 generations. On the basis of CRISPR-Act3.0, we elucidate guide RNA targeting rules for effective transcriptional activation. To target T-rich protospacer adjacent motifs (PAMs), we transfer this activation strategy to CRISPR-dCas12b and further improve the dAaCas12b-based CRISPRa system. Moreover, we develop a potent near-PAM-less CRISPR-Act3.0 system on the basis of the SpRY dCas9 variant, which outperforms the dCas9-NG system in both activation potency and targeting scope. Altogether, our study has substantially improved the CRISPRa technology in plants and provided plant researchers a powerful toolbox for efficient gene activation in foundational and translational research.

CRISPR-Act3.0 for highly efficient multiplexed gene activation in plants.

Cis-regulatory mutations underlie important crop domestication and improvement traits1,2. However, limited allelic diversity has hindered functional dissection of the large number of cis-regulatory elements and their potential interactions, thereby precluding a deeper understanding of how cis-regulatory variation impacts traits quantitatively. Here, we engineered over 60 promoter alleles in two tomato fruit size genes3,4 to characterize cis-regulatory sequences and study their functional relationships. We found that targeted mutations in conserved promoter sequences of SlCLV3, a repressor of stem cell proliferation5,6, have a weak impact on fruit locule number. Pairwise combinations of these mutations mildly enhance this phenotype, revealing additive and synergistic relationships between conserved regions and further suggesting even higher-order cis-regulatory interactions within the SlCLV3 promoter. In contrast, SlWUS, a positive regulator of stem cell proliferation repressed by SlCLV3 (refs. 5,6), is more tolerant to promoter perturbations. Our results show that complex interplay among cis-regulatory variants can shape quantitative variation, and suggest that empirical dissections of this hidden complexity can guide promoter engineering to predictably modify crop traits.

Dissecting cis-regulatory control of quantitative trait variation in a plant stem cell circuit.

Cytosine base editors (CBEs) are great additions to the expanding genome editing toolbox. To improve C-to-T base editing in plants, we first compared seven cytidine deaminases in the BE3-like configuration in rice. We found A3A/Y130F-CBE_V01 resulted in the highest C-to-T base editing efficiency in both rice and Arabidopsis. Furthermore, we demonstrated this A3A/Y130F cytidine deaminase could be used to improve iSpyMacCas9-mediated C-to-T base editing at A-rich PAMs. To showcase its applications, we first applied A3A/Y130F-CBE_V01 for multiplexed editing to generate microRNA-resistant mRNA transcripts as well as pre-mature stop codons in multiple seed trait genes. In addition, we harnessed A3A/Y130F-CBE_V01 for efficient artificial evolution of novel ALS and EPSPS alleles which conferred herbicide resistance in rice. To further improve C-to-T base editing, multiple CBE_V02, CBE_V03 and CBE_V04 systems were developed and tested in rice protoplasts. The CBE_V04 systems were found to have improved editing activity and purity with focal recruitment of more uracil DNA glycosylase inhibitors (UGIs) by the engineered single guide RNA 2.0 scaffold. Finally, we used whole genome sequencing (WGS) to compare six CBE_V01 systems and four CBE_V04 systems for genome-wide off-target effects in rice. Different levels of cytidine deaminase-dependent and sgRNA-independent off-target effects were indeed revealed by WGS among edited lines by these CBE systems. We also investigated genome-wide sgRNA-dependent off-target effects by different CBEs in rice. This comprehensive study compared 21 different CBE systems, and benchmarked PmCDA1-CBE_V04 and A3A/Y130F-CBE_V04 as next-generation plant CBEs with high editing efficiency, purity, and specificity.

Improved plant cytosine base editors with high editing activity, purity, and specificity.

Climate change is a threat to global food security due to the reduction of crop productivity around the globe. Food security is a matter of concern for stakeholders and policymakers as the global population is predicted to bypass 10 billion in the coming years. Crop improvement via modern breeding techniques along with efficient agronomic practices innovations in microbiome applications, and exploiting the natural variations in underutilized crops is an excellent way forward to fulfill future food requirements. In this review, we describe the next-generation breeding tools that can be used to increase crop production by developing climate-resilient superior genotypes to cope with the future challenges of global food security. Recent innovations in genomic-assisted breeding (GAB) strategies allow the construction of highly annotated crop pan-genomes to give a snapshot of the full landscape of genetic diversity (GD) and recapture the lost gene repertoire of a species. Pan-genomes provide new platforms to exploit these unique genes or genetic variation for optimizing breeding programs. The advent of next-generation clustered regularly interspaced short palindromic repeat/CRISPR-associated (CRISPR/Cas) systems, such as prime editing, base editing, and de nova domestication, has institutionalized the idea that genome editing is revamped for crop improvement. Also, the availability of versatile Cas orthologs, including Cas9, Cas12, Cas13, and Cas14, improved the editing efficiency. Now, the CRISPR/Cas systems have numerous applications in crop research and successfully edit the major crop to develop resistance against abiotic and biotic stress. By adopting high-throughput phenotyping approaches and big data analytics tools like artificial intelligence (AI) and machine learning (ML), agriculture is heading toward automation or digitalization. The integration of speed breeding with genomic and phenomic tools can allow rapid gene identifications and ultimately accelerate crop improvement programs. In addition, the integration of next-generation multidisciplinary breeding platforms can open exciting avenues to develop climate-ready crops toward global food security.

/pdf/next-generation-breeding-strategies-for-climate-ready-crops-1w51dks8y6.pdf

Next-Generation Breeding Strategies for Climate-Ready Crops.

The rapid development of the CRISPR–Cas9, –Cas12a and –Cas12b genome editing systems has greatly fuelled basic and translational plant research1–6. DNA targeting by these Cas nucleases is restricted by their preferred protospacer adjacent motifs (PAMs). The PAM requirement for the most popular Streptococcus pyogenes Cas9 (SpCas9) is NGG (N = A, T, C, G)7, limiting its targeting scope to GC-rich regions. Here, we demonstrate genome editing at relaxed PAM sites in rice (a monocot) and the Dahurian larch (a coniferous tree), using an engineered SpRY Cas9 variant8. Highly efficient targeted mutagenesis can be readily achieved by SpRY at relaxed PAM sites in the Dahurian larch protoplasts and in rice transgenic lines through non-homologous end joining (NHEJ). Furthermore, an SpRY-based cytosine base editor was developed and demonstrated by directed evolution of new herbicide resistant OsALS alleles in rice. Similarly, a highly active SpRY adenine base editor was developed based on ABE8e (ref. 9) and SpRY-ABE8e was able to target relaxed PAM sites in rice plants, achieving up to 79% editing efficiency with high product purity. Thus, the SpRY toolbox breaks a PAM restriction barrier in plant genome engineering by enabling DNA editing in a PAM-less fashion. Evidence was also provided for secondary off-target effects by de novo generated single guide RNAs (sgRNAs) due to SpRY-mediated transfer DNA self-editing, which calls for more sophisticated programmes for designing highly specific sgRNAs when implementing the SpRY genome editing toolbox. An engineered SpRY Cas9 variant enables efficient gene editing without PAM requirement in rice transgenic lines and Dahurian larch protoplasts, and its derived base editors can edit the rice genome efficiently in a PAM-less fashion too.

PAM-less plant genome editing using a CRISPR-SpRY toolbox.

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Wanfeng Li

Author Tools

Chat about Author

Papers

PAM-less plant genome editing using a CRISPR-SpRY toolbox.