Title (en)
Fitness effects of CRISPR endonucleases in Drosophila melanogaster populations
Language
English
Description (en)
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 provides a highly efficient and flexible genome editing technology with numerous potential applications ranging from gene therapy to population control. Some proposed applications involve the integration of CRISPR/Cas9 endonucleases into an organism's genome, which raises questions about potentially harmful effects to the transgenic individuals. One example for which this is particularly relevant are CRISPR-based gene drives conceived for the genetic alteration of entire populations. The performance of such drives can strongly depend on fitness costs experienced by drive carriers, yet relatively little is known about the magnitude and causes of these costs. Here, we assess the fitness effects of genomic CRISPR/Cas9 expression in Drosophila melanogaster cage populations by tracking allele frequencies of four different transgenic constructs that allow us to disentangle 'direct' fitness costs due to the integration, expression, and target-site activity of Cas9, from fitness costs due to potential off-target cleavage. Using a maximum likelihood framework, we find that a model with no direct fitness costs but moderate costs due to off-target effects fits our cage data best. Consistent with this, we do not observe fitness costs for a construct with Cas9HF1, a high-fidelity version of Cas9. We further demonstrate that using Cas9HF1 instead of standard Cas9 in a homing drive achieves similar drive conversion efficiency. These results suggest that gene drives should be designed with high-fidelity endonucleases and may have implications for other applications that involve genomic integration of CRISPR endonucleases.
Keywords (en)
Gene Drive; Vector; Resistance; Nucleases; Evolution; Platform; Tools; Cas9
DOI
10.7554/eLife.71809
Author of the digital object
Anna M. Langmüller  (University of Veterinary Medicine Vienna / Cornell University)
Philipp W Messer  (Cornell University)
Andrew G. Clark  (Cornell University)
Jie Du  (Peking University)
Yineng Xu  (Cornell University)
Jingxian Liu  (Cornell University)
Samuel E. Champer  (Cornell University)
Matthew Metzloff  (Cornell University)
Lin Xie  (Cornell University)
Sandra Lapinska  (Cornell University)
Jackson Champer  (Cornell University / Peking University)
Format
application/pdf
Size
708.7 kB
Licence Selected
Type of publication
Article
Name of Publication (en)
eLife
Pages or Volume
27
Volume
11
Publisher
eLife Sciences Publications Ltd
Publication Date
2022