Requirements for Driving Antipathogen Effector Genes into Populations of Disease Vectors by Homing

There is a need for new interventions against the ongoing burden of vector-borne diseases such as malaria and dengue. One suggestion has been to develop genes encoding effector molecules that block parasite development within the vector, and then use the nuclease-based homing reaction as a form of gene drive to spread those genes through target populations. If the effector gene reduces the fitness of the mosquito and does not contribute to the drive, then loss-of-function mutations in the effector will eventually replace functional copies, but protection may nonetheless persist sufficiently long to provide a public health benefit. Here, we present a quantitative model allowing one to predict the duration of protection as a function of the probabilities of different molecular processes during the homing reaction, various fitness effects, and the efficacy of the effector in blocking transmission. Factors that increase the duration of protection include reducing the frequency of pre-existing resistant alleles, the probability of nonrecombinational DNA repair, the probability of homing-associated loss of the effector, the fitness costs of the nuclease and effector, and the completeness of parasite blocking. For target species that extend over an area much larger than the typical dispersal distance, the duration of protection is expected to be highest at the release site, and decrease away from there, eventually falling to zero, as effector-less drive constructs replace effector-containing ones. We also model an alternative strategy of using the nuclease to target an essential gene, and then linking the effector to a sequence that restores the essential function and is resistant to the nuclease. Depending upon parameter values, this approach can prolong the duration of protection. Our models highlight the key design criteria needed to achieve a desired level of public health benefit.

[1]  Austin Burt,et al.  Impact of mosquito gene drive on malaria elimination in a computational model with explicit spatial and temporal dynamics , 2016, Proceedings of the National Academy of Sciences.

[2]  Philipp W. Messer,et al.  Evolution of Resistance Against CRISPR/Cas9 Gene Drive , 2016, Genetics.

[3]  J. Bull Lethal gene drive selects inbreeding , 2016, bioRxiv.

[4]  A. Burt,et al.  Gene drive through a landscape: Reaction-diffusion models of population suppression and elimination by a sex ratio distorter. , 2016, Theoretical population biology.

[5]  Jackson Champer,et al.  Cheating evolution: engineering gene drives to manipulate the fate of wild populations , 2016, Nature Reviews Genetics.

[6]  Bing Wu,et al.  Cas9-triggered chain ablation of cas9 as a gene drive brake , 2016, Nature Biotechnology.

[7]  M. McVey,et al.  Error‐Prone Repair of DNA Double‐Strand Breaks , 2016, Journal of cellular physiology.

[8]  Andrea Crisanti,et al.  A CRISPR-Cas9 Gene Drive System Targeting Female Reproduction in the Malaria Mosquito vector Anopheles gambiae , 2015, Nature Biotechnology.

[9]  John M. Marshall,et al.  Gene Drive Strategies for Population Replacement , 2016 .

[10]  Z. Adelman,et al.  Engineering Pathogen Resistance in Mosquitoes , 2016 .

[11]  Benjamin Engel,et al.  Biological Invasions: Theory and Practice , 1998 .

[12]  Ethan Bier,et al.  Highly efficient Cas9-mediated gene drive for population modification of the malaria vector mosquito Anopheles stephensi , 2015, Proceedings of the National Academy of Sciences.

[13]  Trevor Bedford,et al.  Genetic Diversity and Protective Efficacy of the RTS,S/AS01 Malaria Vaccine. , 2015, The New England journal of medicine.

[14]  Ethan Bier,et al.  The mutagenic chain reaction: A method for converting heterozygous to homozygous mutations , 2015, Science.

[15]  Tetsushi Sakuma,et al.  Microhomology-mediated end-joining-dependent integration of donor DNA in cells and animals using TALENs and CRISPR/Cas9 , 2014, Nature Communications.

[16]  George M Church,et al.  Concerning RNA-guided gene drives for the alteration of wild populations , 2014, bioRxiv.

[17]  Austin Burt,et al.  Heritable strategies for controlling insect vectors of disease , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[18]  S. Russell,et al.  Development of synthetic selfish elements based on modular nucleases in Drosophila melanogaster , 2014, Nucleic acids research.

[19]  B. Stoddard,et al.  The Design and In Vivo Evaluation of Engineered I-OnuI-Based Enzymes for HEG Gene Drive , 2013, PloS one.

[20]  A. Burt,et al.  Modelling the spatial spread of a homing endonuclease gene in a mosquito population , 2013, The Journal of applied ecology.

[21]  Sibao Wang,et al.  Genetic approaches to interfere with malaria transmission by vector mosquitoes. , 2013, Trends in biotechnology.

[22]  S. Russell,et al.  Optimising Homing Endonuclease Gene Drive Performance in a Semi-Refractory Species: The Drosophila melanogaster Experience , 2013, PloS one.

[23]  K. Paaijmans,et al.  Optimal temperature for malaria transmission is dramatically lower than previously predicted. , 2013, Ecology letters.

[24]  A. James,et al.  Transgenic Anopheles stephensi coexpressing single-chain antibodies resist Plasmodium falciparum development , 2012, Proceedings of the National Academy of Sciences.

[25]  L. Symington,et al.  Double-strand break end resection and repair pathway choice. , 2011, Annual review of genetics.

[26]  Austin Burt,et al.  Requirements for effective malaria control with homing endonuclease genes , 2011, Proceedings of the National Academy of Sciences.

[27]  S. Russell,et al.  Insect Population Control by Homing Endonuclease-Based Gene Drive: An Evaluation in Drosophila melanogaster , 2011, Genetics.

[28]  J. Haber,et al.  Increased Mutagenesis and Unique Mutation Signature Associated with Mitotic Gene Conversion , 2010, Science.

[29]  D. Gubler,et al.  Vector-borne diseases. , 2009, Revue scientifique et technique.

[30]  A. Burt,et al.  The Population Genetics of Using Homing Endonuclease Genes in Vector and Pest Management , 2008, Genetics.

[31]  R. Trivers,et al.  Genes in Conflict , 2006 .

[32]  John C. Carlson,et al.  A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission , 2004, Malaria Journal.

[33]  Austin Burt,et al.  Site-specific selfish genes as tools for the control and genetic engineering of natural populations , 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[34]  R. Fisher THE WAVE OF ADVANCE OF ADVANTAGEOUS GENES , 1937 .