CRISPR-Cas9/Cas12a Systems for efficient genome editing and large genomic fragment deletions in Aspergillus niger
Yuan, G.; Deng, S.; Czajka, J. J.; Dai, Z.; Hofstad, B. A.; Kim, J.; Pomraning, K. R.
Show abstract
CRISPR technology has revolutionized fungal genetic engineering by accelerating the pace and expanding the feasible scope of experiments in this field. Among various CRISPR-Cas systems, Cas9 and Cas12a are widely used in genetic and metabolic engineering. In filamentous fungi, both Cas9 and Cas12a have been utilized as CRISPR nucleases. In this work we first compared efficacies and types of genetic edits for CRISPR-Cas9 and -Cas12a systems at the polyketide synthase (albA) gene locus in Aspergillus niger. By employing a tRNA-based gRNA polycistronic cassette, both Cas9 and Cas12a have demonstrated remarkable editing efficacy. Cas12a demonstrated superiority over Cas9 protein when one gRNA was used for targeting, achieving an editing efficiency of 89.5% compared to 15% for Cas9. Moreover, when employing two gRNAs for targeting, both systems achieved up to 100% editing efficiency for single gene editing. In addition, the CRISPR-Cas9 system has been reported to induce large genomic deletions in various species. However, its use for engineering large chromosomal segments deletions in filamentous fungi still requires optimization. Here, we engineered Cas9 and - Cas12a-induced large genomic fragment deletions by targeting various genomic regions of A. niger ranging from 3.5 kb to 40 kb. Our findings demonstrate that targeted engineering of large chromosomal segments can be achieved, with deletions of up to 66.7% efficiency. Furthermore, by targeting a secondary metabolite gene cluster, we show that fragments over 100 kb can be efficiently and specifically deleted using the CRISPR-Cas9 or -Cas12a system. Overall, in this paper, we present an efficient multi-gRNA genome editing system utilizing Cas9 or Cas12a that enables highly efficient targeted editing of genes and large chromosomal regions in A. niger.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Establishment of an antimetabolite-based transformation system for the wood-decaying basidiomycete Phanerochaete chrysosporium 94%
- Metabolic engineering of Saccharomyces cerevisiae for efficient conversions of glycerol to ethanol 93%
- Harnessing CRISPR-Cas9 for genome editing in Streptococcus pneumoniae 93%
Similar papers in this journal
- CRISPR-GRIT: Guide-RNAs with Integrated Repair Templates Enable Precise Multiplexed Genome Editing in the Diploid Fungal Pathogen Candida albicans 94%
- Characterization of Streptococcus uberis Cas9 (SuCas9) - a Type II-A Ortholog Functional in Human Cells 93%
- Efficient and Economical Targeted Insertion in Plant Genomes via Protoplast Regeneration 93%
Similar papers in this journal
- Tri-Functional CRISPR Screen Reveals Overexpression of QDR2 and QDR3 Transporters Increase Fumaric Acid Production in Kluyveromyces marxianus 95%
- ACtivE: Assembly and CRISPR-targeted in vivo Editing for Yeast Genome Engineering Using Minimum Reagents and Time 95%
- L-SCRaMbLE creates large-scale genome rearrangements in synthetic Sc2.0 chromosomes 94%
Similar papers in this journal
- CRISPR-Cas9-assisted native end-joining editing offers a simple strategy for efficient genetic engineering in Escherichia coli 94%
- The Non-Mevalonate Pathway Requires a Delicate Balance of Intermediates to Maximize Terpene Production 93%
- Efficient breeding of industrial brewing yeast strains using CRISPR/Cas9-aided mating-type switching 93%
Similar papers in this journal
- Chromosome-level de novo assembly of Coprinopsis cinerea A43mut B43mut pab1-1 #326 and genetic variant identification of mutants using Nanopore MinION sequencing 95%
- Highly dynamic supernumerary mini-chromosomes in a Magnaporthe oryzae strain 93%
- Exploring a novel genomic safe-haven site in the human pathogenic mould Aspergillus fumigatus. 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.