bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.08.06.606841

Performance of low-threshold, population replacement gene drives in cage populations of the yellow fever mosquito, Aedes aegypti

Abstract

Aedes aegypti is the predominant vector for arboviruses including dengue, Zika, and chikungunya viruses, which infect over 100 million people annually. Mosquito population replacement strategies in which pathogen-susceptible mosquitoes in the field are replaced by laboratory-engineered pathogen-resistant strains are novel genetic control measures to inhibit the spread of malaria or arboviral diseases in endemic regions. To suppress arbovirus transmission following this approach, a mosquito strain needs to be transgenically modified to express an antiviral effector molecule which is linked to a gene drive (GD) system to both inhibit viral replication in the mosquito and drive the engineered resistance trait throughout a wild-type population. As a proof-of-concept, we tested the performance of two single locus CRISPR-Cas9 based GD for Ae. aegypti population replacement in small cage populations over 12 generations. Starting from a low release threshold of 1:9 GD bearing males, we observed two GD constructs in which Cas9 was expressed from different promoters increase in frequency in all discrete, non-overlapping cage populations. By generation 12, 56-79% of mosquitoes in six cage populations had at least one GD copy. The allele frequencies of the GD increased from <5% at release to >50% by G7 post-release for the nanos-driven Cas9 GD and by G10 in populations harboring the zpg-driven Cas9 GD. Insertion and deletion mutation (indel) frequency was measured for each discrete generation in pooled samples from the six populations harboring GD. We found that populations with Cas9 expression under control of the nanos-promoter accumulated gene drive blocking indels (GDBI) at more than twice the rate of populations harboring the zpg-promoter driven GD. Both GD produced de novo mutations at similar rates, with a difference in selection being the primary cause of greater indel accrual in the nanos-driven GD populations. Our results demonstrate that two single-locus, CRISPR-Cas9-based homing GD located at an intergenic locus exhibit continuous super-Mendelian inheritance in populations of Ae. aegypti. We further analyze the effects of fitness cost on the stability of low-threshold CRISPR/Cas9 based GD in populations of Ae. aegypti. This study demonstrates the feasibility of low-threshold, single-locus Cas9 gene drives for Ae. aegypti population replacement.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Speth, Z., Rehard, D., Norton, P., Franz, A. W. E.. 2024-08-08. Performance of low-threshold, population replacement gene drives in cage populations of the yellow fever mosquito, Aedes aegypti. https://doi.org/10.1101/2024.08.06.606841

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗