| Literature DB >> 35481279 |
Kutubuddin A Molla1,2, Justin Shih1, Matthew S Wheatley1, Yinong Yang1.
Abstract
Canonical CRISPR-Cas9 genome editing technique has profoundly impacted the fields of plant biology, biotechnology, and crop improvement. Since non-homologous end joining (NHEJ) is usually considered to generate random indels, its high efficiency mutation is generally not pertinent to precise editing. Homology-directed repair (HDR) can mediate precise editing with supplied donor DNA, but it suffers from extreme low efficiency in higher plants. Therefore, precision editing in plants will be facilitated by the ability to predict NHEJ repair outcome and to improve HDR efficiency. Here, we report that NHEJ-mediated single nucleotide insertion at different rice genes is predictable based on DNA sequences at the target loci. Three mutation prediction tools (inDelphi, FORECasT, and SPROUT) have been validated in the rice plant system. We also evaluated the chimeric guide RNA (cgRNA) and Cas9-Retron precISe Parallel Editing via homologY (CRISPEY) strategies to facilitate donor template supply for improving HDR efficiency in Nicotiana benthamiana and rice. However, neither cgRNA nor CRISPEY improved plant HDR editing efficiency in this study. Interestingly, our data indicate that tethering of 200-250 nucleotides long sequence to either 5' or 3' ends of guide RNA did not significantly affect Cas9 cleavage activity.Entities:
Keywords: CRISPR-Cas9; NHEJ prediction; genome editing; guide RNA engineering; homology-directed repair; non-homologous end joining
Year: 2022 PMID: 35481279 PMCID: PMC9037586 DOI: 10.3389/fgeed.2022.825236
Source DB: PubMed Journal: Front Genome Ed ISSN: 2673-3439
FIGURE 1Schematic diagram of DNA constructs. (A) Map of CRISPEY constructs used in Nicotiana benthamiana. (B) Map of pK-CRISPEY with donor used in rice. (C) Schematic diagram of pCgAPP construct.
FIGURE 2(A) Representative gel images showing Mfe1 digestion of ALS product. Single T insertion at the cut point generates Mfe1 recognition site. (B) Representative Sanger chromatogram of ALS locus. (C) Representative Sanger chromatogram of Pita locus. TIDE decomposition of the chromatogram in (B,C) showing single T insertion. Wild-type protospacer and PAM sequences are shown above each of the chromatograms.
FIGURE 3Prediction of 1-bp insertion using models. (A) Protospacer sequences used in the study. ALS protospacers for Jupiter (used in cgRNA) and Kitaake (used in CRISPEY) are differed by a single nucleotide. (B) Frequency of 1-bp insertion predicted by inDelphi, FORECasT, and SPROUT versus observed frequency. Each prediction data was compared with the observed data. For ALS, CC, and Actin loci, deep sequencing data was treated as observed data. Observed data for Pita derived from Sanger sequencing. (**) denotes p ≤ 0.01; (****) denotes p ≤ 0.0001. (C) Types of 1-bp insertion predicted and observed across four loci. Smaller letters indicate second most prevalent insertion.
FIGURE 4(A) A hypothetical model to explain the generation of 1-bp insertion. OsALS target sequence is used as an example. Violet font depicts PAM sequence. Model was redrawn from Molla and Yang (2020b). (B) Percentage of deletion events predicted by inDelphi or FORECasT and experimentally observed. Observed value was compared separately with inDelphi and FORECasT predicted values. (C) Indels generated with canonical and 5′ extended guide RNA. A 228 bp long sequence was fused at the 5′ end of the gRNA. (****) denotes p < 0.0001. ns, non-significant.