Abstract

Gene drive systems could be a viable strategy to prevent pathogen transmission or suppress vector populations by propagating drive alleles with super-Mendelian inheritance. CRISPR-based homing gene drives convert wild type alleles into drive alleles in heterozygotes with Cas9 and gRNA. It is thus desirable to identify Cas9 promoters that yield high drive conversion rates, minimize the formation rate of resistance alleles in both the germline and the early embryo, and limit somatic Cas9 expression. In Drosophila, the nanos promoter avoids leaky somatic expression, but at the cost of high embryo resistance from maternally deposited Cas9. To improve drive efficiency, we test eleven Drosophila melanogaster germline promoters. Some achieve higher drive conversion efficiency with minimal embryo resistance, but none completely avoid somatic expression. However, such somatic expression often does not carry detectable fitness costs for a rescue homing drive targeting a haplolethal gene, suggesting somatic drive conversion. Supporting a 4-gRNA suppression drive, one promoter leads to a low drive equilibrium frequency due to fitness costs from somatic expression, but the other outperforms nanos, resulting in successful suppression of the cage population. Overall, these Cas9 promoters hold advantages for homing drives in Drosophila species and may possess valuable homologs in other organisms.

High-performance promoters are needed for gene drives; these are currently lacking in Drosophila melanogaster. Here the authors tested eleven Drosophila melanogaster germline promoters in several configurations and show higher drive conversion efficiency with minimal embryo resistance.

Details

Title
Germline Cas9 promoters with improved performance for homing gene drive
Author
Du, Jie 1 ; Chen, Weizhe 2   VIAFID ORCID Logo  ; Jia, Xihua 1 ; Xu, Xuejiao 1 ; Yang, Emily 3 ; Zhou, Ruizhi 1 ; Zhang, Yuqi 1 ; Metzloff, Matt 3   VIAFID ORCID Logo  ; Messer, Philipp W. 3   VIAFID ORCID Logo  ; Champer, Jackson 1   VIAFID ORCID Logo 

 Peking University, Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
 Peking University, Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Tsinghua University, School of Life Sciences, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
 Cornell University, Department of Computational Biology, Ithaca, USA (GRID:grid.5386.8) (ISNI:0000 0004 1936 877X) 
Pages
4560
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3061544606
Copyright
© The Author(s) 2024. 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.