1
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Han Y, Champer J. A Comparative Assessment of Self-limiting Genetic Control Strategies for Population Suppression. Mol Biol Evol 2025; 42:msaf048. [PMID: 40036822 PMCID: PMC11934067 DOI: 10.1093/molbev/msaf048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 02/10/2025] [Accepted: 02/10/2025] [Indexed: 03/06/2025] Open
Abstract
Genetic control strategies are promising solutions for control of pest populations and invasive species. Methods utilizing repeated releases of males such as sterile insect technique (SIT), release of insects carrying a dominant lethal (RIDL), self-limiting gene drives, and gene disruptors are highly controllable methods, ensuring biosafety. Although models of these strategies have been built, detailed comparisons are lacking, particularly for some of the newer strategies. Here, we conducted a thorough comparative assessment of self-limiting genetic control strategies by individual-based simulation models. Specifically, we find that repeated releases greatly enhance suppression power of weak and self-limiting gene drives, enabling population elimination with even low efficiency and high fitness costs. Moreover, dominant female sterility further strengthens self-limiting systems that can either use gene drive or disruptors that target genes without a mechanism to bias their own inheritance. Some of these strategies are highly persistent, resulting in relatively low release ratios even when released males suffer high fitness costs. To quantitatively evaluate different strategies independent from ecological impact, we proposed constant-population genetic load, which achieves over 95% accuracy in predicting simulation outcomes for most strategies, though it is not as precise in a few frequency-dependent systems. Our results suggest that many new self-limiting strategies are safe, flexible, and more cost-effective than traditional SIT and RIDL, and thus have great potential for population suppression of insects and other pests.
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Affiliation(s)
- Yue Han
- Center for Bioinformatics, Center for Life Sciences, School of Life Sciences, Peking University, Beijing 100871, China
- CLS Program, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jackson Champer
- Center for Bioinformatics, Center for Life Sciences, School of Life Sciences, Peking University, Beijing 100871, China
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2
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Faber NR, Xu X, Chen J, Hou S, Du J, Pannebakker BA, Zwaan BJ, van den Heuvel J, Champer J. Improving the suppressive power of homing gene drive by co-targeting a distant-site female fertility gene. Nat Commun 2024; 15:9249. [PMID: 39461949 PMCID: PMC11513003 DOI: 10.1038/s41467-024-53631-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 10/16/2024] [Indexed: 10/28/2024] Open
Abstract
Gene drive technology has the potential to address major biological challenges. Well-studied homing suppression drives have been shown to be highly efficient in Anopheles mosquitoes, but for other organisms, lower rates of drive conversion prevent elimination of the target population. To tackle this issue, we propose a gene drive design that has two targets: a drive homing site where drive conversion takes place, and a distant site where cleavage induces population suppression. We model this design and find that the two-target system allows suppression to occur over a much wider range of drive conversion efficiency. Specifically, the cutting efficiency now determines the suppressive power of the drive, rather than the conversion efficiency as in standard suppression drives. We construct a two-target drive in Drosophila melanogaster and show that both components of the gene drive function successfully. However, cleavage in the embryo from maternal deposition as well as fitness costs in female drive heterozygotes both remain significant challenges for both two-target and standard suppression drives. Overall, our improved gene drive design has the potential to ease problems associated with homing suppression gene drives for many species where drive conversion is less efficient.
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Affiliation(s)
- Nicky R Faber
- Laboratory of Genetics, Department of Plant Sciences, Wageningen University & Research, Wageningen, The Netherlands.
| | - Xuejiao Xu
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China
| | - Jingheng Chen
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China
| | - Shibo Hou
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China
| | - Jie Du
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China
| | - Bart A Pannebakker
- Laboratory of Genetics, Department of Plant Sciences, Wageningen University & Research, Wageningen, The Netherlands
| | - Bas J Zwaan
- Laboratory of Genetics, Department of Plant Sciences, Wageningen University & Research, Wageningen, The Netherlands
| | - Joost van den Heuvel
- Laboratory of Genetics, Department of Plant Sciences, Wageningen University & Research, Wageningen, The Netherlands
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China.
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3
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Feng R, Champer J. Deployment of tethered gene drive for confined suppression in continuous space requires avoiding drive wave interference. Mol Ecol 2024; 33:e17530. [PMID: 39282691 DOI: 10.1111/mec.17530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 08/29/2024] [Accepted: 09/03/2024] [Indexed: 10/25/2024]
Abstract
Gene drives have great potential for suppression of pest populations and removal of exotic invasive species. CRISPR homing suppression drive is a powerful but unconfined drive, posing risks of uncontrolled spread. Thus, developing methods for confining a gene drive is of great significance. Tethered drive combines a confined system such as Toxin-Antidote Recessive Embryo drive with a strong drive such as a homing suppression drive. It can prevent the homing drive from spreading beyond the confined drive and can be constructed readily, giving it good prospects for future development. However, we have found that care must be taken when deploying tethered drive systems in some scenarios. Simulations of tethered drive in a panmictic population model reveal that successful deployment requires a proper release ratio between the two components, tailored to prevent the suppression drive from eliminating the confined system before it has the chance to spread. Spatial models where the population moves over a one-dimensional landscape display a more serious phenomenon of drive wave interference between the two tethered drive components. If the faster suppression drive wave catches up to the confined drive wave, success is still possible, but it is dependent on drive performance and ecological parameters. Two-dimensional simulations further restrict the parameter range for drive success. Thus, careful consideration must be given to drive performance and ecological conditions, as well as specific release proposals for potential application of tethered drive systems.
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Affiliation(s)
- Ruobing Feng
- Center for Bioinformatics, Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China
| | - Jackson Champer
- Center for Bioinformatics, Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China
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4
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Oberhofer G, Johnson ML, Ivy T, Antoshechkin I, Hay BA. Cleave and Rescue gamete killers create conditions for gene drive in plants. NATURE PLANTS 2024; 10:936-953. [PMID: 38886522 DOI: 10.1038/s41477-024-01701-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 04/16/2024] [Indexed: 06/20/2024]
Abstract
Gene drive elements promote the spread of linked traits and can be used to change the composition or fate of wild populations. Cleave and Rescue (ClvR) drive elements sit at a fixed chromosomal position and include a DNA sequence-modifying enzyme such as Cas9/gRNAs that disrupts endogenous versions of an essential gene and a recoded version of the essential gene resistant to cleavage. ClvR spreads by creating conditions in which those lacking ClvR die because they lack functional versions of the essential gene. Here we demonstrate the essential features of the ClvR gene drive in the plant Arabidopsis thaliana through killing of gametes that fail to inherit a ClvR that targets the essential gene YKT61. Resistant alleles, which can slow or prevent drive, were not observed. Modelling shows plant ClvRs are robust to certain failure modes and can be used to rapidly drive population modification or suppression. Possible applications are discussed.
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Affiliation(s)
- Georg Oberhofer
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Michelle L Johnson
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Tobin Ivy
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Igor Antoshechkin
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Bruce A Hay
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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5
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Zhang S, Champer J. Performance characteristics allow for confinement of a CRISPR toxin-antidote gene drive for population suppression in a reaction-diffusion model. Proc Biol Sci 2024; 291:20240500. [PMID: 38889790 DOI: 10.1098/rspb.2024.0500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 04/26/2024] [Indexed: 06/20/2024] Open
Abstract
Gene drive alleles that can bias their own inheritance could engineer populations for control of disease vectors, invasive species and agricultural pests. There are successful examples of suppression drives and confined modification drives, but developing confined suppression drives has proven more difficult. However, CRISPR-based toxin-antidote dominant embryo (TADE) suppression drive may fill this niche. It works by targeting and disrupting a haplolethal target gene in the germline with its gRNAs while rescuing this target. It also disrupts a female fertility gene by driving insertion or additional gRNAs. Here, we used a reaction-diffusion model to assess drive performance in continuous space, where outcomes can be substantially different from those in panmictic populations. We measured drive wave speed and found that moderate fitness costs or target gene disruption in the early embryo from maternally deposited nuclease can eliminate the drive's ability to form a wave of advance. We assessed the required release size, and finally we investigated migration corridor scenarios. It is often possible for the drive to suppress one population and then persist in the corridor without invading the second population, a potentially desirable outcome. Thus, even imperfect variants of TADE suppression drive may be excellent candidates for confined population suppression.
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Affiliation(s)
- Shijie Zhang
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University , Beijing 100871, People's Republic of China
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University , Beijing 100871, People's Republic of China
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6
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Du J, Chen W, Jia X, Xu X, Yang E, Zhou R, Zhang Y, Metzloff M, Messer PW, Champer J. Germline Cas9 promoters with improved performance for homing gene drive. Nat Commun 2024; 15:4560. [PMID: 38811556 PMCID: PMC11137117 DOI: 10.1038/s41467-024-48874-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 05/16/2024] [Indexed: 05/31/2024] Open
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.
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Affiliation(s)
- Jie Du
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, 100871, Beijing, China.
| | - Weizhe Chen
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, 100871, Beijing, China
- School of Life Sciences, Tsinghua University, 100084, Beijing, China
| | - Xihua Jia
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Xuejiao Xu
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Emily Yang
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Ruizhi Zhou
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Yuqi Zhang
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Matt Metzloff
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Philipp W Messer
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, 100871, Beijing, China.
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7
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de Haas FJH, Kläy L, Débarre F, Otto SP. Modelling daisy quorum drive: A short-term bridge across engineered fitness valleys. PLoS Genet 2024; 20:e1011262. [PMID: 38753875 PMCID: PMC11135765 DOI: 10.1371/journal.pgen.1011262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/29/2024] [Accepted: 04/17/2024] [Indexed: 05/18/2024] Open
Abstract
Engineered gene-drive techniques for population modification and/or suppression have the potential for tackling complex challenges, including reducing the spread of diseases and invasive species. Gene-drive systems with low threshold frequencies for invasion, such as homing-based gene drive, require initially few transgenic individuals to spread and are therefore easy to introduce. The self-propelled behavior of such drives presents a double-edged sword, however, as the low threshold can allow transgenic elements to expand beyond a target population. By contrast, systems where a high threshold frequency must be reached before alleles can spread-above a fitness valley-are less susceptible to spillover but require introduction at a high frequency. We model a proposed drive system, called "daisy quorum drive," that transitions over time from a low-threshold daisy-chain system (involving homing-based gene drive such as CRISPR-Cas9) to a high-threshold fitness-valley system (requiring a high frequency-a "quorum"-to spread). The daisy-chain construct temporarily lowers the high thresholds required for spread of the fitness-valley construct, facilitating use in a wide variety of species that are challenging to breed and release in large numbers. Because elements in the daisy chain only drive subsequent elements in the chain and not themselves and also carry deleterious alleles ("drive load"), the daisy chain is expected to exhaust itself, removing all CRISPR elements and leaving only the high-threshold fitness-valley construct, whose spread is more spatially restricted. Developing and analyzing both discrete patch and continuous space models, we explore how various attributes of daisy quorum drive affect the chance of modifying local population characteristics and the risk that transgenic elements expand beyond a target area. We also briefly explore daisy quorum drive when population suppression is the goal. We find that daisy quorum drive can provide a promising bridge between gene-drive and fitness-valley constructs, allowing spread from a low frequency in the short term and better containment in the long term, without requiring repeated introductions or persistence of CRISPR elements.
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Affiliation(s)
- Frederik J. H. de Haas
- Biodiversity Research Center, Department of Zoology, University of British Columbia, Vancouver BC, Canada
| | - Léna Kläy
- Institute of Ecology and Environmental Sciences Paris (IEES Paris), Sorbonne Université, CNRS, IRD, INRAE, Université Paris Est Creteil, Université de Paris, Paris Cedex 5, France
| | - Florence Débarre
- Institute of Ecology and Environmental Sciences Paris (IEES Paris), Sorbonne Université, CNRS, IRD, INRAE, Université Paris Est Creteil, Université de Paris, Paris Cedex 5, France
| | - Sarah P. Otto
- Biodiversity Research Center, Department of Zoology, University of British Columbia, Vancouver BC, Canada
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8
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Oberhofer G, Johnson ML, Ivy T, Antoshechkin I, Hay BA. Cleave and Rescue gamete killers create conditions for gene drive in plants. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.13.562303. [PMID: 37873352 PMCID: PMC10592828 DOI: 10.1101/2023.10.13.562303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Gene drive elements promote the spread of linked traits, even when their presence confers a fitness cost to carriers, and can be used to change the composition or fate of wild populations. Cleave and Rescue (ClvR) drive elements sit at a fixed chromosomal position and include a DNA sequence-modifying enzyme such as Cas9/gRNAs (the Cleaver/Toxin) that disrupts endogenous versions of an essential gene, and a recoded version of the essential gene resistant to cleavage (the Rescue/Antidote). ClvR spreads by creating conditions in which those lacking ClvR die because they lack functional versions of the essential gene. We demonstrate the essential features of ClvR gene drive in the plant Arabidopsis thaliana through killing of gametes that fail to inherit a ClvR that targets the essential gene YKT61, whose expression is required in male and female gametes for their survival. Resistant (uncleavable but functional) alleles, which can slow or prevent drive, were not observed. Modeling shows plant ClvRs are likely to be robust to certain failure modes and can be used to rapidly drive population modification or suppression. Possible applications in plant breeding, weed control, and conservation are discussed.
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Affiliation(s)
- Georg Oberhofer
- California Institute of Technology. Division of Biology and Biological Engineering. 1200 East California Boulevard, MC156-29, Pasadena, CA 91125
| | - Michelle L. Johnson
- California Institute of Technology. Division of Biology and Biological Engineering. 1200 East California Boulevard, MC156-29, Pasadena, CA 91125
| | - Tobin Ivy
- California Institute of Technology. Division of Biology and Biological Engineering. 1200 East California Boulevard, MC156-29, Pasadena, CA 91125
| | - Igor Antoshechkin
- California Institute of Technology. Division of Biology and Biological Engineering. 1200 East California Boulevard, MC156-29, Pasadena, CA 91125
| | - Bruce A. Hay
- California Institute of Technology. Division of Biology and Biological Engineering. 1200 East California Boulevard, MC156-29, Pasadena, CA 91125
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9
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Clark AC, Edison R, Esvelt K, Kamau S, Dutoit L, Champer J, Champer SE, Messer PW, Alexander A, Gemmell NJ. A framework for identifying fertility gene targets for mammalian pest control. Mol Ecol Resour 2024; 24:e13901. [PMID: 38009398 PMCID: PMC10860713 DOI: 10.1111/1755-0998.13901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/16/2023] [Accepted: 11/06/2023] [Indexed: 11/28/2023]
Abstract
Fertility-targeted gene drives have been proposed as an ethical genetic approach for managing wild populations of vertebrate pests for public health and conservation benefit. This manuscript introduces a framework to identify and evaluate target gene suitability based on biological gene function, gene expression and results from mouse knockout models. This framework identified 16 genes essential for male fertility and 12 genes important for female fertility that may be feasible targets for mammalian gene drives and other non-drive genetic pest control technology. Further, a comparative genomics analysis demonstrates the conservation of the identified genes across several globally significant invasive mammals. In addition to providing important considerations for identifying candidate genes, our framework and the genes identified in this study may have utility in developing additional pest control tools such as wildlife contraceptives.
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Affiliation(s)
- Anna C Clark
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Rey Edison
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Kevin Esvelt
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Sebastian Kamau
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Ludovic Dutoit
- Department of Zoology, University of Otago, 340 Great King Street, Dunedin 9016, New Zealand
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Samuel E Champer
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Philipp W Messer
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Alana Alexander
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
| | - Neil J Gemmell
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
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10
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Chanchal DK, Chaudhary JS, Kumar P, Agnihotri N, Porwal P. CRISPR-Based Therapies: Revolutionizing Drug Development and Precision Medicine. Curr Gene Ther 2024; 24:193-207. [PMID: 38310456 DOI: 10.2174/0115665232275754231204072320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/26/2023] [Accepted: 11/15/2023] [Indexed: 02/05/2024]
Abstract
With the discovery of CRISPR-Cas9, drug development and precision medicine have undergone a major change. This review article looks at the new ways that CRISPR-based therapies are being used and how they are changing the way medicine is done. CRISPR technology's ability to precisely and flexibly edit genes has opened up new ways to find, validate, and develop drug targets. Also, it has made way for personalized gene therapies, precise gene editing, and advanced screening techniques, all of which hold great promise for treating a wide range of diseases. In this article, we look at the latest research and clinical trials that show how CRISPR could be used to treat genetic diseases, cancer, infectious diseases, and other hard-to-treat conditions. However, ethical issues and problems with regulations are also discussed in relation to CRISPR-based therapies, which shows how important it is to use them safely and responsibly. As CRISPR continues to change how drugs are made and used, this review shines a light on the amazing things that have been done and what the future might hold in this rapidly changing field.
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Affiliation(s)
- Dilip Kumar Chanchal
- Department of Pharmacy, Smt. Vidyawati College of Pharmacy, Jhansi, Uttar Pradesh, India
- Glocal School of Pharmacy, Glocal University Mirzapur Pole, Saharanpur - 247121, Uttar Pradesh, India
| | | | - Pushpendra Kumar
- Faculty of Pharmacy, Uttar Pradesh University of Medical Sciences, Saifai, Etawah 206130, Uttar Pradesh, India
| | - Neha Agnihotri
- Department of Pharmacy, Maharana Pratap College of Pharmacy, Kothi, Mandhana, Kanpur-209217, Uttar Pradesh, India
| | - Prateek Porwal
- Glocal School of Pharmacy, Glocal University Mirzapur Pole, Saharanpur - 247121, Uttar Pradesh, India
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11
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Raban R, Marshall JM, Hay BA, Akbari OS. Manipulating the Destiny of Wild Populations Using CRISPR. Annu Rev Genet 2023; 57:361-390. [PMID: 37722684 PMCID: PMC11064769 DOI: 10.1146/annurev-genet-031623-105059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Genetic biocontrol aims to suppress or modify populations of species to protect public health, agriculture, and biodiversity. Advancements in genome engineering technologies have fueled a surge in research in this field, with one gene editing technology, CRISPR, leading the charge. This review focuses on the current state of CRISPR technologies for genetic biocontrol of pests and highlights the progress and ongoing challenges of using these approaches.
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Affiliation(s)
- Robyn Raban
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
| | - John M Marshall
- Divisions of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, California, USA
| | - Bruce A Hay
- Division of Biology and Biological Engineering (BBE), California Institute of Technology, Pasadena, California, USA
| | - Omar S Akbari
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
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12
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Pan M, Champer J. Making waves: Comparative analysis of gene drive spread characteristics in a continuous space model. Mol Ecol 2023; 32:5673-5694. [PMID: 37694511 DOI: 10.1111/mec.17131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 08/16/2023] [Accepted: 08/31/2023] [Indexed: 09/12/2023]
Abstract
With their ability to rapidly increase in frequency, gene drives can be used to modify or suppress target populations after an initial release of drive individuals. Recent advances have revealed many possibilities for different types of drives, and several of these have been realized in experiments. These drives have advantages and disadvantages related to their ease of construction, confinement and capacity to be used for modification or suppression. Though characteristics of these drives have been explored in modelling studies, assessment in continuous space environments has been limited, often focusing on outcomes rather than fundamental properties. Here, we conduct a comparative analysis of many different gene drive types that have the capacity to form a wave of advance in continuous space using individual-based simulations in continuous space. We evaluate the drive wave speed as a function of drive performance and ecological parameters, which reveals substantial differences between drive performance in panmictic versus spatial environments. In particular, we find that suppression drive waves are uniquely vulnerable to fitness costs and undesired CRISPR cleavage activity in embryos by maternal deposition. Some drives, however, retain robust performance even with widely varying efficiency parameters. To gain a better understanding of drive waves, we compare their panmictic performance and find that the rate of wild-type allele removal is correlated with drive wave speed, though this is also affected by other factors. Overall, our results provide a useful resource for understanding the performance of drives in spatially continuous environments, which may be most representative of potential drive deployment in many relevant scenarios.
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Affiliation(s)
- Mingzuyu Pan
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China
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13
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Clark AC, Alexander A, Edison R, Esvelt K, Kamau S, Dutoit L, Champer J, Champer SE, Messer PW, Gemmell NJ. A framework for identifying fertility gene targets for mammalian pest control. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.30.542751. [PMID: 37398071 PMCID: PMC10312551 DOI: 10.1101/2023.05.30.542751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Fertility-targeted gene drives have been proposed as an ethical genetic approach for managing wild populations of vertebrate pests for public health and conservation benefit.This manuscript introduces a framework to identify and evaluate target gene suitability based on biological gene function, gene expression, and results from mouse knockout models.This framework identified 16 genes essential for male fertility and 12 genes important for female fertility that may be feasible targets for mammalian gene drives and other non-drive genetic pest control technology. Further, a comparative genomics analysis demonstrates the conservation of the identified genes across several globally significant invasive mammals.In addition to providing important considerations for identifying candidate genes, our framework and the genes identified in this study may have utility in developing additional pest control tools such as wildlife contraceptives.
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Affiliation(s)
- Anna C Clark
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Alana Alexander
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
| | - Rey Edison
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Kevin Esvelt
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Sebastian Kamau
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Ludovic Dutoit
- Department of Zoology, University of Otago, 340 Great King Street, Dunedin 9016, New Zealand
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Samuel E Champer
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Philipp W Messer
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Neil J Gemmell
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
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14
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Zhu Y, Champer J. Simulations Reveal High Efficiency and Confinement of a Population Suppression CRISPR Toxin-Antidote Gene Drive. ACS Synth Biol 2023; 12:809-819. [PMID: 36825354 DOI: 10.1021/acssynbio.2c00611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Though engineered gene drives hold great promise for spreading through and suppressing populations of disease vectors or invasive species, complications such as resistance alleles and spatial population structure can prevent their success. Additionally, most forms of suppression drives, such as homing drives or driving Y chromosomes, will generally spread uncontrollably between populations with even small levels of migration. The previously proposed CRISPR-based toxin-antidote system called toxin-antidote dominant embryo (TADE) suppression drive could potentially address the issues of confinement and resistance. However, it is a relatively weak form of drive compared to homing drives, which might make it particularly vulnerable to spatial population structure. In this study, we investigate TADE suppression drive using individual-based simulations in a continuous spatial landscape. We find that the drive is actually more confined than in simple models without space, even in its most efficient form with low cleavage rate in embryos from maternally deposited Cas9. Furthermore, the drive performed well in continuous space scenarios if the initial release requirements were met, suppressing the population in a timely manner without being severely affected by chasing, a phenomenon in which wild-type individuals avoid the drive by recolonizing empty areas. At higher embryo cut rates, the drive loses its ability to spread, but a single, widespread release can often still induce rapid population collapse. Thus, if TADE suppression gene drives can be successfully constructed, they may play an important role in control of disease vectors and invasive species when stringent confinement to target populations is desired.
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Affiliation(s)
- Yutong Zhu
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
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15
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Chen J, Xu X, Champer J. Assessment of distant-site rescue elements for CRISPR toxin-antidote gene drives. Front Bioeng Biotechnol 2023; 11:1138702. [PMID: 36860883 PMCID: PMC9968759 DOI: 10.3389/fbioe.2023.1138702] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/03/2023] [Indexed: 02/15/2023] Open
Abstract
Gene drive is a genetic engineering technology that can enable super-mendelian inheritance of specific alleles, allowing them to spread through a population. New gene drive types have increased flexibility, offering options for confined modification or suppression of target populations. Among the most promising are CRISPR toxin-antidote gene drives, which disrupt essential wild-type genes by targeting them with Cas9/gRNA. This results in their removal, increasing the frequency of the drive. All these drives rely on having an effective rescue element, which consists of a recoded version of the target gene. This rescue element can be at the same site as the target gene, maximizing the chance of efficient rescue, or at a distant site, which allows useful options such as easily disrupting another essential gene or increasing confinement. Previously, we developed a homing rescue drive targeting a haplolethal gene and a toxin-antidote drive targeting a haplosufficient gene. These successful drives had functional rescue elements but suboptimal drive efficiency. Here, we attempted to construct toxin-antidote drives targeting these genes with a distant-site configuration from three loci in Drosophila melanogaster. We found that additional gRNAs increased cut rates to nearly 100%. However, all distant-site rescue elements failed for both target genes. Furthermore, one rescue element with a minimally recoded sequence was used as a template for homology-directed repair for the target gene on a different chromosomal arm, resulting in the formation of functional resistance alleles. Together, these results can inform the design of future CRISPR-based toxin-antidote gene drives.
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Affiliation(s)
| | | | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
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16
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Li J, Champer J. Harnessing Wolbachia cytoplasmic incompatibility alleles for confined gene drive: A modeling study. PLoS Genet 2023; 19:e1010591. [PMID: 36689491 PMCID: PMC9894560 DOI: 10.1371/journal.pgen.1010591] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/02/2023] [Accepted: 12/21/2022] [Indexed: 01/24/2023] Open
Abstract
Wolbachia are maternally-inherited bacteria, which can spread rapidly in populations by manipulating reproduction. cifA and cifB are genes found in Wolbachia phage that are responsible for cytoplasmic incompatibility, the most common type of Wolbachia reproductive interference. In this phenomenon, no viable offspring are produced when a male with both cifA and cifB (or just cifB in some systems) mates with a female lacking cifA. Utilizing this feature, we propose new types of toxin-antidote gene drives that can be constructed with only these two genes in an insect genome, instead of the whole Wolbachia bacteria. By using both mathematical and simulation models, we found that a drive containing cifA and cifB together creates a confined drive with a moderate to high introduction threshold. When introduced separately, they act as a self-limiting drive. We observed that the performance of these drives is substantially influenced by various ecological parameters and drive characteristics. Extending our models to continuous space, we found that the drive individual release distribution has a critical impact on drive persistence. Our results suggest that these new types of drives based on Wolbachia transgenes are safe and flexible candidates for genetic modification of populations.
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Affiliation(s)
- Jiahe Li
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
- * E-mail:
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17
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Garrood WT, Cuber P, Willis K, Bernardini F, Page NM, Haghighat-Khah RE. Driving down malaria transmission with engineered gene drives. Front Genet 2022; 13:891218. [PMID: 36338968 PMCID: PMC9627344 DOI: 10.3389/fgene.2022.891218] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 09/13/2022] [Indexed: 11/26/2022] Open
Abstract
The last century has witnessed the introduction, establishment and expansion of mosquito-borne diseases into diverse new geographic ranges. Malaria is transmitted by female Anopheles mosquitoes. Despite making great strides over the past few decades in reducing the burden of malaria, transmission is now on the rise again, in part owing to the emergence of mosquito resistance to insecticides, antimalarial drug resistance and, more recently, the challenges of the COVID-19 pandemic, which resulted in the reduced implementation efficiency of various control programs. The utility of genetically engineered gene drive mosquitoes as tools to decrease the burden of malaria by controlling the disease-transmitting mosquitoes is being evaluated. To date, there has been remarkable progress in the development of CRISPR/Cas9-based homing endonuclease designs in malaria mosquitoes due to successful proof-of-principle and multigenerational experiments. In this review, we examine the lessons learnt from the development of current CRISPR/Cas9-based homing endonuclease gene drives, providing a framework for the development of gene drive systems for the targeted control of wild malaria-transmitting mosquito populations that overcome challenges such as with evolving drive-resistance. We also discuss the additional substantial works required to progress the development of gene drive systems from scientific discovery to further study and subsequent field application in endemic settings.
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Affiliation(s)
- William T. Garrood
- Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Piotr Cuber
- Department of Molecular Biology, Core Research Laboratories, Natural History Museum, London, United Kingdom
| | - Katie Willis
- Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Federica Bernardini
- Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Nicole M. Page
- Department of Life Sciences, Imperial College London, London, United Kingdom
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18
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Langmüller AM, Champer J, Lapinska S, Xie L, Metzloff M, Champer SE, Liu J, Xu Y, Du J, Clark AG, Messer PW. Fitness effects of CRISPR endonucleases in Drosophila melanogaster populations. eLife 2022; 11:e71809. [PMID: 36135925 PMCID: PMC9545523 DOI: 10.7554/elife.71809] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
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.
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Affiliation(s)
- Anna M Langmüller
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Institut für Populationsgenetik, Vetmeduni ViennaViennaAustria
- Vienna Graduate School of Population Genetics, Vetmeduni ViennaViennaAustria
| | - Jackson Champer
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Department of Molecular Biology and Genetics, Cornell UniversityIthacaUnited States
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking UniversityBeijingChina
| | - Sandra Lapinska
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Department of Molecular Biology and Genetics, Cornell UniversityIthacaUnited States
| | - Lin Xie
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Department of Molecular Biology and Genetics, Cornell UniversityIthacaUnited States
| | - Matthew Metzloff
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Department of Molecular Biology and Genetics, Cornell UniversityIthacaUnited States
| | - Samuel E Champer
- Department of Computational Biology, Cornell UniversityIthacaUnited States
| | - Jingxian Liu
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Department of Molecular Biology and Genetics, Cornell UniversityIthacaUnited States
| | - Yineng Xu
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Department of Molecular Biology and Genetics, Cornell UniversityIthacaUnited States
| | - Jie Du
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking UniversityBeijingChina
| | - Andrew G Clark
- Department of Computational Biology, Cornell UniversityIthacaUnited States
- Department of Molecular Biology and Genetics, Cornell UniversityIthacaUnited States
| | - Philipp W Messer
- Department of Computational Biology, Cornell UniversityIthacaUnited States
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19
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Melesse Vergara M, Labbé J, Tannous J. Reflection on the Challenges, Accomplishments, and New Frontiers of Gene Drives. BIODESIGN RESEARCH 2022; 2022:9853416. [PMID: 37850135 PMCID: PMC10521683 DOI: 10.34133/2022/9853416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/19/2022] [Indexed: 10/19/2023] Open
Abstract
Ongoing pest and disease outbreaks pose a serious threat to human, crop, and animal lives, emphasizing the need for constant genetic discoveries that could serve as mitigation strategies. Gene drives are genetic engineering approaches discovered decades ago that may allow quick, super-Mendelian dissemination of genetic modifications in wild populations, offering hopes for medicine, agriculture, and ecology in combating diseases. Following its first discovery, several naturally occurring selfish genetic elements were identified and several gene drive mechanisms that could attain relatively high threshold population replacement have been proposed. This review provides a comprehensive overview of the recent advances in gene drive research with a particular emphasis on CRISPR-Cas gene drives, the technology that has revolutionized the process of genome engineering. Herein, we discuss the benefits and caveats of this technology and place it within the context of natural gene drives discovered to date and various synthetic drives engineered. Later, we elaborate on the strategies for designing synthetic drive systems to address resistance issues and prevent them from altering the entire wild populations. Lastly, we highlight the major applications of synthetic CRISPR-based gene drives in different living organisms, including plants, animals, and microorganisms.
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Affiliation(s)
| | - Jesse Labbé
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Invaio Sciences, Cambridge, MA 02138USA
| | - Joanna Tannous
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
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20
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Paril JF, Phillips BL. Slow and steady wins the race: spatial and stochastic processes and the failure of suppression gene drives. Mol Ecol 2022; 31:4451-4464. [PMID: 35790043 PMCID: PMC9541681 DOI: 10.1111/mec.16598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/20/2022] [Accepted: 06/30/2022] [Indexed: 11/28/2022]
Abstract
Gene drives that skew sex ratios offer a new management tool to suppress or eradicate pest populations. Early models and empirical work suggest that these suppression drives can completely eradicate well‐mixed populations, but models that incorporate stochasticity and space (i.e. drift and recolonization events) often result in loss or failure of the drive. We developed a stochastic model to examine these processes in a simple one‐dimensional space. This simple space allows us to map the events and outcomes that emerged and examine how properties of the drive's wave of invasion affect outcomes. Our simulations, across a biologically realistic section of parameter space, suggest that drive failure might be a common outcome in spatially explicit, stochastic systems, and that properties of the drive wave appear to mediate outcomes. Surprisingly, the drives that would be considered fittest in an aspatial model were strongly associated with failure in the spatial setting. The fittest drives cause relatively fast moving, and narrow waves that have a high chance of being penetrated by wild‐types (WTs) leading to WT recolonization, leading to failure. Our results also show that high rates of dispersal reduce the chance of failure because drive waves get disproportionately wider than WT waves as dispersal rates increase. Overall, wide, slow‐moving drive waves were much less prone to failure. Our results point to the complexity inherent in using a genetic system to effect demographic outcomes and speak to a clear need for ecological and evolutionary modelling to inform the drive design process.
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Affiliation(s)
- Jeff F. Paril
- School of BioSciences University of Melbourne Parkville VIC
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21
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Metzloff M, Yang E, Dhole S, Clark AG, Messer PW, Champer J. Experimental demonstration of tethered gene drive systems for confined population modification or suppression. BMC Biol 2022; 20:119. [PMID: 35606745 PMCID: PMC9128227 DOI: 10.1186/s12915-022-01292-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 04/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Homing gene drives hold great promise for the genetic control of natural populations. However, current homing systems are capable of spreading uncontrollably between populations connected by even marginal levels of migration. This could represent a substantial sociopolitical barrier to the testing or deployment of such drives and may generally be undesirable when the objective is only local population control, such as suppression of an invasive species outside of its native range. Tethered drive systems, in which a locally confined gene drive provides the CRISPR nuclease needed for a homing drive, could provide a solution to this problem, offering the power of a homing drive and confinement of the supporting drive. RESULTS Here, we demonstrate the engineering of a tethered drive system in Drosophila, using a regionally confined CRISPR Toxin-Antidote Recessive Embryo (TARE) drive to support modification and suppression homing drives. Each drive was able to bias inheritance in its favor, and the TARE drive was shown to spread only when released above a threshold frequency in experimental cage populations. After the TARE drive had established in the population, it facilitated the spread of a subsequently released split homing modification drive (to all individuals in the cage) and of a homing suppression drive (to its equilibrium frequency). CONCLUSIONS Our results show that the tethered drive strategy is a viable and easily engineered option for providing confinement of homing drives to target populations.
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Affiliation(s)
- Matthew Metzloff
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA
| | - Emily Yang
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA
| | - Sumit Dhole
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA
| | - Andrew G Clark
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA
| | - Philipp W Messer
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Jackson Champer
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA.
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA.
- Present Address: Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
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22
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Liu Y, Champer J. Modelling homing suppression gene drive in haplodiploid organisms. Proc Biol Sci 2022; 289:20220320. [PMID: 35414240 PMCID: PMC9006016 DOI: 10.1098/rspb.2022.0320] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/21/2022] [Indexed: 01/13/2023] Open
Abstract
Gene drives have shown great promise for suppression of pest populations. These engineered alleles can function by a variety of mechanisms, but the most common is the CRISPR homing drive, which converts wild-type alleles to drive alleles in the germline of heterozygotes. Some potential target species are haplodiploid, in which males develop from unfertilized eggs and thus have only one copy of each chromosome. This prevents drive conversion, a substantial disadvantage compared to diploids where drive conversion can take place in both sexes. Here, we study homing suppression gene drives in haplodiploids and find that a drive targeting a female fertility gene could still be successful. However, such drives are less powerful than in diploids and suffer more from functional resistance alleles. They are substantially more vulnerable to high resistance allele formation in the embryo owing to maternally deposited Cas9 and guide RNA and also to somatic cleavage activity. Examining spatial models where organisms move over a continuous landscape, we find that haplodiploid suppression drives surprisingly perform nearly as well as in diploids, possibly owing to their ability to spread further before inducing strong suppression. Together, these results indicate that gene drive can potentially be used to effectively suppress haplodiploid populations.
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Affiliation(s)
- Yiran Liu
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 People's Republic of China
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 People's Republic of China
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23
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Wang GH, Du J, Chu CY, Madhav M, Hughes GL, Champer J. Symbionts and gene drive: two strategies to combat vector-borne disease. Trends Genet 2022; 38:708-723. [PMID: 35314082 DOI: 10.1016/j.tig.2022.02.013] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/24/2022] [Accepted: 02/24/2022] [Indexed: 01/26/2023]
Abstract
Mosquitoes bring global health problems by transmitting parasites and viruses such as malaria and dengue. Unfortunately, current insecticide-based control strategies are only moderately effective because of high cost and resistance. Thus, scalable, sustainable, and cost-effective strategies are needed for mosquito-borne disease control. Symbiont-based and genome engineering-based approaches provide new tools that show promise for meeting these criteria, enabling modification or suppression approaches. Symbiotic bacteria like Wolbachia are maternally inherited and manipulate mosquito host reproduction to enhance their vertical transmission. Genome engineering-based gene drive methods, in which mosquitoes are genetically altered to spread drive alleles throughout wild populations, are also proving to be a potentially powerful approach in the laboratory. Here, we review the latest developments in both symbionts and gene drive-based methods. We describe some notable similarities, as well as distinctions and obstacles, relating to these promising technologies.
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Affiliation(s)
- Guan-Hong Wang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Jie Du
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Chen Yi Chu
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Mukund Madhav
- Departments of Vector Biology and Tropical Disease Biology, Centre for Neglected Tropical Disease, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
| | - Grant L Hughes
- Departments of Vector Biology and Tropical Disease Biology, Centre for Neglected Tropical Disease, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.
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24
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Champer SE, Oakes N, Sharma R, García-Díaz P, Champer J, Messer PW. Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework. PLoS Comput Biol 2021; 17:e1009660. [PMID: 34965253 PMCID: PMC8716047 DOI: 10.1371/journal.pcbi.1009660] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 11/18/2021] [Indexed: 02/07/2023] Open
Abstract
Invasive rodent populations pose a threat to biodiversity across the globe. When confronted with these invaders, native species that evolved independently are often defenseless. CRISPR gene drive systems could provide a solution to this problem by spreading transgenes among invaders that induce population collapse, and could be deployed even where traditional control methods are impractical or prohibitively expensive. Here, we develop a high-fidelity model of an island population of invasive rodents that includes three types of suppression gene drive systems. The individual-based model is spatially explicit, allows for overlapping generations and a fluctuating population size, and includes variables for drive fitness, efficiency, resistance allele formation rate, as well as a variety of ecological parameters. The computational burden of evaluating a model with such a high number of parameters presents a substantial barrier to a comprehensive understanding of its outcome space. We therefore accompany our population model with a meta-model that utilizes supervised machine learning to approximate the outcome space of the underlying model with a high degree of accuracy. This enables us to conduct an exhaustive inquiry of the population model, including variance-based sensitivity analyses using tens of millions of evaluations. Our results suggest that sufficiently capable gene drive systems have the potential to eliminate island populations of rodents under a wide range of demographic assumptions, though only if resistance can be kept to a minimal level. This study highlights the power of supervised machine learning to identify the key parameters and processes that determine the population dynamics of a complex evolutionary system.
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Affiliation(s)
- Samuel E. Champer
- Department of Computational Biology, Cornell University, Ithaca, New York, United States of America
| | - Nathan Oakes
- Department of Computational Biology, Cornell University, Ithaca, New York, United States of America
| | - Ronin Sharma
- Department of Computational Biology, Cornell University, Ithaca, New York, United States of America
| | - Pablo García-Díaz
- Manaaki Whenua–Landcare Research, Lincoln, New Zealand and School of Biological Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Jackson Champer
- Department of Computational Biology, Cornell University, Ithaca, New York, United States of America
| | - Philipp W. Messer
- Department of Computational Biology, Cornell University, Ithaca, New York, United States of America
- * E-mail:
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25
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Verma P, Reeves RG, Gokhale CS. A common gene drive language eases regulatory process and eco-evolutionary extensions. BMC Ecol Evol 2021; 21:156. [PMID: 34372763 PMCID: PMC8351217 DOI: 10.1186/s12862-021-01881-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 07/12/2021] [Indexed: 02/08/2023] Open
Abstract
Background Synthetic gene drive technologies aim to spread transgenic constructs into wild populations even when they impose organismal fitness disadvantages. The extraordinary diversity of plausible drive mechanisms and the range of selective parameters they may encounter makes it very difficult to convey their relative predicted properties, particularly where multiple approaches are combined. The sheer number of published manuscripts in this field, experimental and theoretical, the numerous techniques resulting in an explosion in the gene drive vocabulary hinder the regulators’ point of view. We address this concern by defining a simplified parameter based language of synthetic drives. Results Employing the classical population dynamics approach, we show that different drive construct (replacement) mechanisms can be condensed and evaluated on an equal footing even where they incorporate multiple replacement drives approaches. Using a common language, it is then possible to compare various model properties, a task desired by regulators and policymakers. The generalization allows us to extend the study of the invasion dynamics of replacement drives analytically and, in a spatial setting, the resilience of the released drive constructs. The derived framework is available as a standalone tool. Conclusion Besides comparing available drive constructs, our tool is also useful for educational purpose. Users can also explore the evolutionary dynamics of future hypothetical combination drive scenarios. Thus, our results appraise the properties and robustness of drives and provide an intuitive and objective way for risk assessment, informing policies, and enhancing public engagement with proposed and future gene drive approaches.
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Affiliation(s)
- Prateek Verma
- Research Group for Theoretical Models of Eco-evolutionary Dynamics, Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany.
| | - R Guy Reeves
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Chaitanya S Gokhale
- Research Group for Theoretical Models of Eco-evolutionary Dynamics, Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany
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26
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Dhole S, Lloyd AL, Gould F. Gene Drive Dynamics in Natural Populations: The Importance of Density Dependence, Space, and Sex. ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS 2020; 51:505-531. [PMID: 34366722 PMCID: PMC8340601 DOI: 10.1146/annurev-ecolsys-031120-101013] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The spread of synthetic gene drives is often discussed in the context of panmictic populations connected by gene flow and described with simple deterministic models. Under such assumptions, an entire species could be altered by releasing a single individual carrying an invasive gene drive, such as a standard homing drive. While this remains a theoretical possibility, gene drive spread in natural populations is more complex and merits a more realistic assessment. The fate of any gene drive released in a population would be inextricably linked to the population's ecology. Given the uncertainty often involved in ecological assessment of natural populations, understanding the sensitivity of gene drive spread to important ecological factors is critical. Here we review how different forms of density dependence, spatial heterogeneity, and mating behaviors can impact the spread of self-sustaining gene drives. We highlight specific aspects of gene drive dynamics and the target populations that need further research.
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Affiliation(s)
- Sumit Dhole
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - Alun L Lloyd
- Biomathematics Graduate Program and Department of Mathematics, North Carolina State University, Raleigh, North Carolina 27695-8213, USA
- Genetic Engineering and Society Center, North Carolina State University, Raleigh, North Carolina 27695-7565, USA
| | - Fred Gould
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina 27695, USA
- Genetic Engineering and Society Center, North Carolina State University, Raleigh, North Carolina 27695-7565, USA
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Champer J, Zhao J, Champer SE, Liu J, Messer PW. Population Dynamics of Underdominance Gene Drive Systems in Continuous Space. ACS Synth Biol 2020; 9:779-792. [PMID: 32142612 DOI: 10.1021/acssynbio.9b00452] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Underdominance systems can quickly spread through a population, but only when introduced in considerable numbers. This promises a gene drive mechanism that is less invasive than homing drives, potentially enabling new approaches in the fight against vector-borne diseases. If regional confinement can indeed be achieved, the decision-making process for a release would likely be much simpler compared to other, more invasive types of drives. The capacity of underdominance gene drive systems to spread in a target population without invading other populations is typically assessed via network models of panmictic demes linked by migration. However, it remains less clear how such systems would behave in more realistic population models where organisms move over a continuous landscape. Here, we use individual-based simulations to study the dynamics of several proposed underdominance systems in continuous-space. We find that all these systems can fail to persist in such environments, even after an initially successful establishment in the release area, confirming previous theoretical results from diffusion theory. At the same time, we find that a two-locus two-toxin-antidote system can invade connected demes through a narrow migration corridor. This suggests that the parameter space where underdominance systems can establish and persist in a release area while at the same time remaining confined to that area could be quite limited, depending on how a population is spatially structured. Overall, these results indicate that realistic spatial context must be considered when assessing strategies for the deployment of underdominance drives.
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