Abstract

The widely used Streptococcus pyogenes Cas9 (SpCas9) nuclease derives its DNA targeting specificity from protein-DNA contacts with protospacer adjacent motif (PAM) sequences, in addition to base-pairing interactions between its guide RNA and target DNA. Previous reports have established that the PAM specificity of SpCas9 can be altered via positive selection procedures for directed evolution or other protein engineering strategies. Here we exploit in vivo directed evolution systems that incorporate simultaneous positive and negative selection to evolve SpCas9 variants with commensurate or improved activity on NAG PAMs relative to wild type and reduced activity on NGG PAMs, particularly YGG PAMs. We also show that the PAM preferences of available evolutionary intermediates effectively determine whether similar counterselection PAMs elicit different selection stringencies, and demonstrate that negative selection can be specifically increased in a yeast selection system through the fusion of compensatory zinc fingers to SpCas9.

The PAM specificity of SpCas9 can be altered with positive selection during directed evolution. Here the authors use simultaneous positive and negative selection to improve activity on NAG PAMs while reducing activity on NGG PAMs.

Details

Title
Engineered dual selection for directed evolution of SpCas9 PAM specificity
Author
Goldberg, Gregory W 1   VIAFID ORCID Logo  ; Spencer, Jeffrey M 1 ; Giganti, David O 1 ; Camellato, Brendan R 1 ; Agmon Neta 2 ; Ichikawa, David M 1 ; Boeke, Jef D 3   VIAFID ORCID Logo  ; Noyes, Marcus B 1 

 NYU Langone Health, Institute for Systems Genetics, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753) 
 NYU Langone Health, Institute for Systems Genetics, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753); Neochromosome, Inc., Alexandria Center for Life Science, New York, USA (GRID:grid.137628.9) 
 NYU Langone Health, Institute for Systems Genetics, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753); NYU Tandon School of Engineering, Department of Biomedical Engineering, Brooklyn, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2477378799
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.