PLoS GeneticsGeneticsPeer-reviewed journal article
Resection and repair of a Cas9 double-strand break at CTG trinucleotide repeats induces local and extensive chromosomal rearrangements
Valentine MosbachiD, David Viterbo, Stéphane Descorps‐DeclèreiD, Lucie PoggiiD, Wilhelm Vaysse-ZinkhöferiD, Guy‐Franck RichardiD
Abstract
Microsatellites are short tandem repeats, ubiquitous in all eukaryotes and represent [~]2% of the human genome. Among them, trinucleotide repeats are responsible for more than two dozen neurological and developmental disorders. Targeting microsatellites with dedicated DNA endonucleases could become a viable option for patients affected with dramatic neurodegenerative disorders. Here, we used the Streptococcus pyogenes Cas9 to induce a double-strand break within the expanded CTG repeat involved in myotonic dystrophy type 1, integrated in a yeast chromosome. Repair of this double-strand break generated unexpected large chromosomal rearrangements around the repeat tract. These rearrangements depended on RAD52, DNL4 and SAE2, and both non-homologous end-joining and single-strand annealing pathways were involved. Resection and repair of the double-strand break (DSB) were totally abolished in a rad50{Delta} strain, whereas they were impaired in a sae2{Delta} mutant, only on the DSB end containing most of the repeat tract. This proved that Sae2 plays significant different roles in resecting a DSB end containing a repeated and structured sequence as compared to a non-repeated DSB end.\n\nIn addition, we also discovered that gene conversion was less efficient when the DSB could be repaired using a homologous template, suggesting that the trinucleotide repeat may interfer with gene conversion too. Altogether, these data show that SpCas9 is probably not a good choice when inducing a double-strand break at or near a microsatellite, especially in mammalian genomes that contain many more dispersed repeated elements than the yeast genome.
- organism: yeast
- assay: CRISPR screen
- research focus: perturbation response prediction
- approach: experimental assay
- Citations
- 20
- FWCI
- 1.22
- Field percentile
- top 23%
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