A Versatile Protocol to Generate Translocations in Yeast Genomes Using CRISPR/Cas9.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2021
Historique:
entrez: 5 9 2020
pubmed: 6 9 2020
medline: 24 3 2021
Statut: ppublish

Résumé

Genomic engineering methods represent powerful tools to examine chromosomal modifications and to subsequently study their impacts on cellular phenotypes. However, quantifying the fitness impact of translocations, independently from base substitutions or the insertion of genetic markers, remains a challenge. Here we report a rapid and straightforward protocol for engineering either targeted reciprocal translocations at the base pair level of resolution between two chromosomes or multiple simultaneous rearrangements in the yeast genome, without inserting any marker sequence in the chromosomes. Our CRISPR/Cas9-based method consists of inducing either (1) two double-strand breaks (DSBs) in two different chromosomes with two distinct guide RNAs (gRNAs) while providing specifically designed homologous donor DNA forcing the trans-repair of chromosomal extremities to generate a targeted reciprocal translocation or (2) multiple DSBs with a single gRNA targeting dispersed repeated sequences and leaving endogenous uncut copies of the repeat to be used as donor DNA, thereby generating multiple translocations, often associated with large segmental duplications (Fleiss, et al. PLoS Genet 15:e1008332, 2019).

Identifiants

pubmed: 32889721
doi: 10.1007/978-1-0716-0868-5_14
doi:

Substances chimiques

RNA, Guide 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

181-198

Auteurs

Nicolas Agier (N)

Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France.

Aubin Fleiss (A)

Synthetic Biology Group, MRC London Institute of Medical Sciences, London, UK.
Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK.

Stéphane Delmas (S)

Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France.

Gilles Fischer (G)

Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France. gilles.fischer@sorbonne-universite.fr.

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Classifications MeSH