scholarly journals Evolutionary dynamics of CRISPR gene drives

2016 ◽  
Author(s):  
Charleston Noble ◽  
Jason Olejarz ◽  
Kevin M. Esvelt ◽  
George M. Church ◽  
Martin A. Nowak
Keyword(s):  
Evolutionary Dynamics ◽  
Evolutionary Stability ◽  
Clear Understanding ◽  
Gene Drive ◽  
Host Organism ◽  
Wild Populations ◽  
Selfish Genetic Elements ◽  
Real World Applications ◽  
Drive Systems ◽  
Gene Drives

AbstractThe alteration of wild populations has been discussed as a solution to a number of humanity’s most pressing ecological and public health concerns. Enabled by the recent revolution in genome editing, CRISPR gene drives, selfish genetic elements which can spread through populations even if they confer no advantage to their host organism, are rapidly emerging as the most promising approach. But before real-world applications are considered, it is imperative to develop a clear understanding of the outcomes of drive release in nature. Toward this aim, we mathematically study the evolutionary dynamics of CRISPR gene drives. We demonstrate that the emergence of drive-resistant alleles presents a major challenge to previously reported constructs, and we show that an alternative design which selects against resistant alleles greatly improves evolutionary stability. We discuss all results in the context of CRISPR technology and provide insights which inform the engineering of practical gene drive systems.

scholarly journals Current CRISPR gene drive systems are likely to be highly invasive in wild populations

2017 ◽  
Author(s):  
Charleston Noble ◽  
Ben Adlam ◽  
George M. Church ◽  
Kevin M. Esvelt ◽  
Martin A. Nowak
Keyword(s):  
Local Population ◽  
Gene Drive ◽  
Host Organism ◽  
Wild Populations ◽  
Flow Rates ◽  
Standing Variation ◽  
Large Populations ◽  
Mitigating Factors ◽  
Drive Systems ◽  
Gene Drives

AbstractRecent reports have suggested that CRISPR-based gene drives are unlikely to invade wild populations due to drive-resistant alleles that prevent cutting. Here we develop mathematical models based on existing empirical data to explicitly test this assumption. We show that although resistance prevents drive systems from spreading to fixation in large populations, even the least effective systems reported to date are highly invasive. Releasing a small number of organisms often causes invasion of the local population, followed by invasion of additional populations connected by very low gene flow rates. Examining the effects of mitigating factors including standing variation, inbreeding, and family size revealed that none of these prevent invasion in realistic scenarios. Highly effective drive systems are predicted to be even more invasive. Contrary to the National Academies report on gene drive, our results suggest that standard drive systems should not be developed nor field-tested in regions harboring the host organism.

scholarly journals The effect of mating complexity on gene drive dynamics

2021 ◽  
Author(s):  
Prateek Verma ◽  
R. Guy Reeves ◽  
Samson Simon ◽  
Mathias Otto ◽  
Chaitanya S. Gokhale
Keyword(s):  
Mate Choice ◽  
Mating Systems ◽  
Population Level ◽  
Gene Drive ◽  
Wild Populations ◽  
Transgenic Organisms ◽  
Drive Systems ◽  
The Impact ◽  
Gene Drives ◽  
Drive Dynamics

AbstractGene drive technology is being presented as a means to deliver on some of the global challenges humanity faces today in healthcare, agriculture and conservation. However, there is a limited understanding of the consequences of releasing self-perpetuating transgenic organisms into the wild populations under complex ecological conditions. In this study, we analyze the impact of three factors, mate-choice, mating systems and spatial mating network, on the population dynamics for two distinct classes of modification gene drive systems; distortion and viability-based ones. All three factors had a high impact on the modelling outcome. First, we demonstrate that distortion based gene drives appear to be more robust against the mate-choice than viability-based gene drives. Second, we find that gene drive spread is much faster for higher degrees of polygamy. With fitness cost, speed is the highest for intermediate levels of polygamy. Finally, the spread of gene drive is faster and more effective when the individuals have fewer connections in a spatial mating network. Our results highlight the need to include mating complexities while modelling the population-level spread of gene drives. This will enable a more confident prediction of release thresholds, timescales and consequences of gene drive in populations.

scholarly journals CRISPR gene-drive systems based on Cas9 nickases promote super-Mendelian inheritance in Drosophila

2021 ◽  
Author(s):  
Víctor López Del Amo ◽  
Sara Sanz Juste ◽  
Valentino M. Gantz
Keyword(s):  
Dna Repair ◽  
Mendelian Inheritance ◽  
Essential Genes ◽  
Gene Products ◽  
Gene Drive ◽  
Repair Pathway ◽  
Wild Populations ◽  
Drive Systems ◽  
Gene Drives ◽  
Wildtype Allele

ABSTRACTCRISPR-based gene drive systems can be used to modify entire wild populations due to their ability to bias their own inheritance towards super-Mendelian rates (>100%). Current gene drives contain a Cas9 and a gRNA gene inserted at the location targeted by the gRNA. These gene products are able to cut the opposing wildtype allele, and lead to its replacement with a copy of the gene drive through the homology-directed DNA repair pathway. When this allelic conversion occurs in the germline it leads to the preferential inheritance of the engineered allele — a property that has been proposed to disseminate engineered traits for managing disease-transmitting mosquito populations. Here, we report a novel gene-drive strategy relying on Cas9 nickases which operates by generating staggered paired-nicks in the DNA to promote propagation of the gene drive allele. We show that only when 5’ overhangs are generated, the system efficiently leads to allelic conversion. Further, the nickase gene-drive arrangement produces large stereotyped deletions, providing potential advantages for targeting essential genes. Indeed, the nickase-gene-drive design should expand the options available for gene drive designs aimed at applications in mosquitoes and beyond.

Engineering the Composition and Fate of Wild Populations with Gene Drive

2021 ◽  
Vol 66 (1) ◽  
pp. 407-434 ◽  
Author(s):  
Bruce A. Hay ◽  
Georg Oberhofer ◽  
Ming Guo
Keyword(s):  
Evolutionary Stability ◽  
Fitness Cost ◽  
Human Diseases ◽  
Gene Drive ◽  
Wild Populations ◽  
Genetic Composition ◽  
Gene Complexes ◽  
Ultimate Fate ◽  
Species Specific ◽  
Population Suppression

Insects play important roles as predators, prey, pollinators, recyclers, hosts, parasitoids, and sources of economically important products. They can also destroy crops; wound animals; and serve as vectors for plant, animal, and human diseases. Gene drive—a process by which genes, gene complexes, or chromosomes encoding specific traits are made to spread through wild populations, even if these traits result in a fitness cost to carriers—provides new opportunities for altering populations to benefit humanity and the environment in ways that are species specific and sustainable. Gene drive can be used to alter the genetic composition of an existing population, referred to as population modification or replacement, or to bring about population suppression or elimination. We describe technologies under consideration, progress that has been made, and remaining technological hurdles, particularly with respect to evolutionary stability and our ability to control the spread and ultimate fate of genes introduced into populations.

scholarly journals Invasion and migration of spatially self-limiting gene drives: a comparative analysis

2017 ◽  
Author(s):  
Sumit Dhole ◽  
Michael R. Vella ◽  
Alun L. Loyd ◽  
Fred Gould
Keyword(s):  
Target Population ◽  
Gene Drive ◽  
Fitness Costs ◽  
Invasion And Migration ◽  
Migration Rates ◽  
Chain System ◽  
Drive Systems ◽  
And Migration ◽  
The One ◽  
Gene Drives

AbstractRecent advances in research on gene drives have produced genetic constructs that could theoretically spread a desired gene (payload) into all populations of a species, with a single release in one place. This attribute has advantages, but also comes with risks and ethical concerns. There has been a call for research on gene drive systems that are spatially and/or temporally self-limiting. Here we use a population genetics model to compare the expected characteristics of three spatially self-limiting gene drive systems: one-locus underdominance, two-locus underdominance, and daisy-chain drives. We find large differences between these gene drives in the minimum release size required for successfully driving a payload into a population. The daisy-chain system is the most efficient, requiring the smallest release, followed by the two-locus underdominance system, and then the one-locus underdominance system. However, when the target population exchanges migrants with a non-target population, the gene drives requiring smaller releases suffer from higher risks of unintended spread. For payloads that incur relatively low fitness costs (up to 30%), a simple daisy-chain drive is practically incapable of remaining localized, even with migration rates as low as 0.5% per generation. The two-locus underdominance system can achieve localized spread under a broader range of migration rates and of payload fitness costs, while the one-locus underdominance system largely remains localized. We also find differences in the extent of population alteration and in the permanence of the alteration achieved by the three gene drives. The two-locus underdominance system does not always spread the payload to fixation, even after successful drive, while the daisy-chain system can, for a small set of parameter values, achieve a temporally-limited spread of the payload. These differences could affect the suitability of each gene drive for specific applications.Note:This manuscript has been accepted for publication in the journal Evolutionary Applications and is pending publication. We suggest that any reference to or quotation of this article should be made with this recognition.

scholarly journals Modulating CRISPR gene drive activity through nucleocytoplasmic localization of Cas9 in S. cerevisiae

2018 ◽  
Author(s):  
Megan E. Goeckel ◽  
Erianna M. Basgall ◽  
Isabel C. Lewis ◽  
Samantha C. Goetting ◽  
Yao Yan ◽  
...  
Keyword(s):  
Nuclease Activity ◽  
Gene Drive ◽  
Wild Populations ◽  
Vector Borne Diseases ◽  
Vector Borne ◽  
Mendelian Laws ◽  
Artificial Gene ◽  
Nuclear Localization Sequences ◽  
Gene Drives

ABSTRACTThe bacterial CRISPR/Cas genome editing system has provided a major breakthrough in molecular biology. One use of this technology is within a nuclease-based gene drive. This type of system can install a genetic element within a population at unnatural rates. Combatting of vector-borne diseases carried by metazoans could benefit from a delivery system that bypasses traditional Mendelian laws of segregation. Recently, laboratory studies in fungi, insects, and even mice, have demonstrated successful propagation of CRISPR gene drives and the potential utility of this type of mechanism. However, current gene drives still face challenges including evolved resistance, containment, and the consequences of application in wild populations. In this study, we use an artificial gene drive system in budding yeast to explore mechanisms to modulate nuclease activity of Cas9 through its nucleocytoplasmic localization. We examine non-native nuclear localization sequences on Cas9 fusion proteins in vivo and demonstrate that appended signals can titrate gene drive activity and serve as a potential molecular safeguard.

scholarly journals Author response: Current CRISPR gene drive systems are likely to be highly invasive in wild populations

2018 ◽  
Author(s):  
Charleston Noble ◽  
Ben Adlam ◽  
George M Church ◽  
Kevin M Esvelt ◽  
Martin A Nowak
Keyword(s):  
Author Response ◽  
Gene Drive ◽  
Wild Populations ◽  
Drive Systems ◽  
Response Current

scholarly journals RNA-guided gene drives can efficiently and reversibly bias inheritance in wild yeast

2015 ◽  
Author(s):  
James E DiCarlo ◽  
Alejandro Chavez ◽  
Sven L Dietz ◽  
Kevin M Esvelt ◽  
George M Church
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Gene Drive ◽  
Wild Type ◽  
Wild Populations ◽  
Yeast Saccharomyces Cerevisiae ◽  
Wild Yeast ◽  
Successive Generations ◽  
Gene Drives ◽  
General Method ◽  
Made In

Inheritance-biasing “gene drives” may be capable of spreading genomic alterations made in laboratory organisms through wild populations. We previously considered the potential for RNA-guided gene drives based on the versatile CRISPR/Cas9 genome editing system to serve as a general method of altering populations. Here we report molecularly contained gene drive constructs in the yeast Saccharomyces cerevisiae that are typically copied at rates above 99% when mated to wild yeast. We successfully targeted both non-essential and essential genes, showed that the inheritance of an unrelated “cargo” gene could be biased by an adjacent drive, and constructed a drive capable of overwriting and reversing changes made by a previous drive. Our results demonstrate that RNA-guided gene drives are capable of efficiently biasing inheritance when mated to wild-type organisms over successive generations.

scholarly journals Overcoming evolved resistance to population-suppressing homing-based gene drives

2016 ◽  
Author(s):  
John M. Marshall ◽  
Anna Buchman ◽  
Héctor M. Sánchez C. ◽  
Omar S. Akbari
Keyword(s):  
Mosquito Species ◽  
Gene Drive ◽  
Resistant Allele ◽  
Guide Rnas ◽  
Continental Scale ◽  
Fitness Advantage ◽  
Health Related ◽  
Drive Systems ◽  
Gene Drives

AbstractThe use of homing-based gene drive systems to modify or suppress wild populations of a given species has been proposed as a solution to a number of significant ecological and public health related problems, including the control of mosquito-borne diseases. The recent development of a CRISPR-Cas9-based homing system for the suppression ofAnopheles gambiae, the main African malaria vector, is encouraging for this approach; however, with current designs, the slow emergence of homing-resistant alleles is expected to result in suppressed populations rapidly rebounding, as homing-resistant alleles have a significant fitness advantage over functional, population-suppressing homing alleles. To explore this concern, we develop a mathematical model to estimate tolerable rates of homing-resistant allele generation to suppress a wild population of a given size. Our results suggest that, to achieve meaningful population suppression, tolerable rates of resistance allele generation are orders of magnitude smaller than those observed for current designs for CRISPR-Cas9-based homing systems. To remedy this, we propose a homing system architecture in which guide RNAs (gRNAs) are multiplexed, increasing the effective homing rate and decreasing the effective resistant allele generation rate. Modeling results suggest that the size of the population that can be suppressed increases exponentially with the number of multiplexed gRNAs and that, with six multiplexed gRNAs, a mosquito species could potentially be suppressed on a continental scale. We also demonstrate successful multiplexingin vivoinDrosophila melanogasterusing a ribozyme-gRNA-ribozyme (RGR) approach – a strategy that could readily be adapted to engineer stable, homing-based suppression drives in relevant organisms.

scholarly journals Carrying a selfish genetic element predicts increased migration propensity in free-living wild house mice

2018 ◽  
Vol 285 (1888) ◽  
pp. 20181333 ◽  
Author(s):  
Jan-Niklas Runge ◽  
Anna K. Lindholm
Keyword(s):  
Population Control ◽  
House Mice ◽  
Gene Drive ◽  
Genetic Element ◽  
Free Living ◽  
Mouse Population ◽  
Selfish Genetic Elements ◽  
Selfish Genetic Element ◽  
Drive Systems ◽  
Migration Propensity

Life is built on cooperation between genes, which makes it vulnerable to parasitism. Selfish genetic elements that exploit this cooperation can achieve large fitness gains by increasing their transmission relative to the rest of the genome. This leads to counter-adaptations that generate unique selection pressures on the selfish genetic element. This arms race is similar to host–parasite coevolution, as some multi-host parasites alter the host’s behaviour to increase the chance of transmission to the next host. Here, we ask if, similarly to these parasites, a selfish genetic element in house mice, the t haplotype, also manipulates host behaviour, specifically the host’s migration propensity. Variants of the t that manipulate migration propensity could increase in fitness in a meta-population. We show that juvenile mice carrying the t haplotype were more likely to emigrate from and were more often found as migrants within a long-term free-living house mouse population. This result may have applied relevance as the t has been proposed as a basis for artificial gene drive systems for use in population control.

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