Dataset Information

Highly Efficient, Rapid and Co-CRISPR-Independent Genome Editing in Caenorhabditis elegans.

ABSTRACT: We describe a rapid and highly efficient method to generate point mutations in Caenorhabditis elegans using direct injection of CRISPR-Cas9 ribonucleoproteins. This versatile method does not require sensitized genetic backgrounds or co-CRISPR selection-based methods, and represents a single strategy that can be used for creating genomic point mutations, regardless of location. As proof of principle, we show that knock-in mutants more faithfully report variant-associated phenotypes as compared to transgenic overexpression. Data for nine knock-in mutants across five genes are presented that demonstrate high editing efficiencies (60%), a reduced screening workload (24 F1 progeny), and a rapid timescale (4-5 d). This optimized method simplifies genome engineering and is readily adaptable to other model systems.

SUBMITTER: Prior H

PROVIDER: S-EPMC5677160 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Publications

Highly Efficient, Rapid and Co-CRISPR-Independent Genome Editing in <i>Caenorhabditis elegans</i>.

Prior Harriet H Jawad Ali K AK MacConnachie Lauren L Beg Asim A AA

G3 (Bethesda, Md.) 20171106 11

We describe a rapid and highly efficient method to generate point mutations in <i>Caenorhabditis elegans</i> using direct injection of CRISPR-Cas9 ribonucleoproteins. This versatile method does not require sensitized genetic backgrounds or co-CRISPR selection-based methods, and represents a single strategy that can be used for creating genomic point mutations, regardless of location. As proof of principle, we show that knock-in mutants more faithfully report variant-associated phenotypes as comp ...[more]

PMID: 28893845

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Project description:Null mutants are essential for analyzing gene function. Here, we describe a simple and efficient method to generate Caenorhabditis elegans null mutants using CRISPR/Cas9 and short single stranded DNA oligo repair templates to insert a universal 43-nucleotide-long knock-in cassette (STOP-IN) into the early exons of target genes. This STOP-IN cassette has stop codons in all three reading frames and leads to frameshifts, which will generate putative null mutations regardless of the reading frame of the insertion position in exons. The STOP-IN cassette also contains an exogenous Cas9 target site that allows further genome editing and provides a unique sequence that simplifies the identification of successful insertion events via PCR. As a proof of concept, we inserted the STOP-IN cassette at a Cas9 target site in aex-2 to generate new putative null alleles by injecting preassembled Cas9 ribonucleoprotein and a short synthetic single stranded DNA repair template containing the STOP-IN cassette and two ?35-nucleotide-long homology arms identical to the sequences flanking the Cas9 cut site. We showed that these new aex-2 alleles phenocopied an existing loss-of-function allele of aex-2 We further showed that the new aex-2 null alleles could be reverted back to the wild-type sequence by targeting the exogenous Cas9 cut site included in the STOP-IN cassette and providing a single stranded wild-type DNA repair oligo. We applied our STOP-IN method to generate new putative null mutants for 20 additional genes, including three pharyngeal muscle-specific genes (clik-1, clik-2, and clik-3), and reported a high insertion rate (46%) based on the animals we screened. We showed that null mutations of clik-2 cause recessive lethality with a severe pumping defect and clik-3 null mutants have a mild pumping defect, while clik-1 is dispensable for pumping. We expect that the knock-in method using the STOP-IN cassette will facilitate the generation of new null mutants to understand gene function in C. elegans and other genetic model organisms.

Dataset Information

Highly Efficient, Rapid and Co-CRISPR-Independent Genome Editing in Caenorhabditis elegans.

Publications

Highly Efficient, Rapid and Co-CRISPR-Independent Genome Editing in <i>Caenorhabditis elegans</i>.

Similar Datasets

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