Literature DB >> 35414240

Modelling homing suppression gene drive in haplodiploid organisms.

Yiran Liu1, Jackson Champer1.   

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.

Entities:  

Keywords:  continuous space; gene drive; haplodiploid; homing drive; modelling; suppression

Mesh:

Substances:

Year:  2022        PMID: 35414240      PMCID: PMC9006016          DOI: 10.1098/rspb.2022.0320

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.530


  46 in total

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Authors:  S Bradleigh Vinson
Journal:  Insect Sci       Date:  2013-02-11       Impact factor: 3.262

2.  Reducing resistance allele formation in CRISPR gene drive.

Authors:  Jackson Champer; Jingxian Liu; Suh Yeon Oh; Riona Reeves; Anisha Luthra; Nathan Oakes; Andrew G Clark; Philipp W Messer
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-07       Impact factor: 11.205

3.  MGDrivE 2: A simulation framework for gene drive systems incorporating seasonality and epidemiological dynamics.

Authors:  Sean L Wu; Jared B Bennett; Héctor M Sánchez C; Andrew J Dolgert; Tomás M León; John M Marshall
Journal:  PLoS Comput Biol       Date:  2021-05-21       Impact factor: 4.475

4.  A CRISPR homing gene drive targeting a haplolethal gene removes resistance alleles and successfully spreads through a cage population.

Authors:  Jackson Champer; Emily Yang; Esther Lee; Jingxian Liu; Andrew G Clark; Philipp W Messer
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-14       Impact factor: 12.779

5.  Engineering multiple species-like genetic incompatibilities in insects.

Authors:  Maciej Maselko; Nathan Feltman; Ambuj Upadhyay; Amanda Hayward; Siba Das; Nathan Myslicki; Aidan J Peterson; Michael B O'Connor; Michael J Smanski
Journal:  Nat Commun       Date:  2020-09-08       Impact factor: 14.919

6.  Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework.

Authors:  Samuel E Champer; Nathan Oakes; Ronin Sharma; Pablo García-Díaz; Jackson Champer; Philipp W Messer
Journal:  PLoS Comput Biol       Date:  2021-12-29       Impact factor: 4.779

7.  Gene drive for population genetic control: non-functional resistance and parental effects.

Authors:  Andrea K Beaghton; Andrew Hammond; Tony Nolan; Andrea Crisanti; Austin Burt
Journal:  Proc Biol Sci       Date:  2019-10-30       Impact factor: 5.349

8.  Efficient population modification gene-drive rescue system in the malaria mosquito Anopheles stephensi.

Authors:  Adriana Adolfi; Valentino M Gantz; Nijole Jasinskiene; Hsu-Feng Lee; Kristy Hwang; Gerard Terradas; Emily A Bulger; Arunachalam Ramaiah; Jared B Bennett; J J Emerson; John M Marshall; Ethan Bier; Anthony A James
Journal:  Nat Commun       Date:  2020-11-03       Impact factor: 14.919

9.  Predicting the Global Distribution of Solenopsis geminata (Hymenoptera: Formicidae) under Climate Change Using the MaxEnt Model.

Authors:  Cheol Min Lee; Dae-Seong Lee; Tae-Sung Kwon; Mohammad Athar; Young-Seuk Park
Journal:  Insects       Date:  2021-03-08       Impact factor: 2.769

Review 10.  Gene drives gaining speed.

Authors:  Ethan Bier
Journal:  Nat Rev Genet       Date:  2021-08-06       Impact factor: 53.242

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  2 in total

1.  Experimental demonstration of tethered gene drive systems for confined population modification or suppression.

Authors:  Matthew Metzloff; Emily Yang; Sumit Dhole; Andrew G Clark; Philipp W Messer; Jackson Champer
Journal:  BMC Biol       Date:  2022-05-24       Impact factor: 7.364

2.  Slow and steady wins the race: Spatial and stochastic processes and the failure of suppression gene drives.

Authors:  Jeff F Paril; Ben L Phillips
Journal:  Mol Ecol       Date:  2022-07-22       Impact factor: 6.622

  2 in total

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