Our research

1. Genetics-based strategies to control mosquito-borne diseases:

​Malaria, dengue, Zika and other mosquito-borne diseases pose a major global health burden throughout much of the world. Over 600,000 people die each year from malaria, most of whom are children under the age of five in sub-Saharan Africa, and over 50,000,000 people are infected with dengue each year, ~10,000 of whom die from the disease. For malaria, recent declines in transmission have been seen following wide-scale distribution of bed nets and antimalarial drugs; however, these tools are not expected to be sufficient to eliminate malaria from highly-endemic areas. For dengue, there is no cure or vaccine available that is effective against all four serotypes. Consequently, there is interest in novel strategies to control these diseases, including genetics-based approaches.
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​Genetics-based control strategies can be grouped into two general categories - self-limiting and self-propagating strategies. In self-limiting strategies, introduced transgenes are eliminated from the population over time. The best example of this is a release of genetically sterile males. By mating with wild females after a release, these mosquitoes produce no viable offspring, thus suppressing the mosquito population and hence disease transmission for a sustained period of time. In self-propagating strategies, a gene drive system (a genetic element that biases inheritance in its favor) is used to spread a disease-refractory gene or fitness load into the mosquito population. With the advent of CRISPR-based gene editing, these systems have become much easier to engineer. Proof-of-principle systems have recently been engineered that could: a) spread malaria-refractory genes into mosquito populations, rendering them unable to transmit the disease to humans; and b) disrupt a gene required for female fertility as they spread, potentially eliminating the mosquito vector entirely.
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Understanding how these gene drive systems spread through populations of mosquitoes requires mathematical models and knowledge of the ecology and environment into which they could be introduced. Our research in this area therefore falls at the interface between molecular biology and ecology. We work with molecular biologists - Professor Omar Akbari and Professor Ethan Bier at UC San Diego, and Professor Anthony James at UC Irvine - to determine how the constructs they engineer in the lab could be expected to behave in the wild. We also work with vector ecologists at the Ifakara Health Institute in Tanzania, QIMR Berghofer Medical Research Institute in Australia, the Environmental Health Institute/National Environment Agency in Singapore, and the Vector Genetics Lab at UC Davis to better understand the dispersal patterns of mosquitoes, their genetic variation, seasonal changes in their abundance, and other aspects of their population biology. 
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Our goal is to move this field forward in a way that allows the burden of mosquito-borne diseases to be reduced in a safe and socially responsible way. We provide modeling support for the Bill & Melinda Gates Foundation's mosquito genetic control portfolio, developing target product profiles and surveillance protocols for these technologies. We are also a key collaborator of the Akbari Lab, which is developing novel genetics-based versions of the sterile insect technique to control Anopheles gambiae, the main African malaria vector, and Aedes aegypti, the main mosquito vector of dengue, chikungunya and Zika virus. We serve as modeling lead for the UC Malaria Initiative to develop CRISPR-based gene drive systems to control Anopheles gambiae, the main African malaria vector, and work with Berkeley's Innovative Genomics Institute to explore the application of CRISPR technology to insect genetic control. We have developed several modeling frameworks, MGDrivE (Mosquito Gene Drive Explorer), MGDrivE 2 and MGSurvE (Mosquito Gene Surveillance), to address research questions related to these projects. As the technology moves closer to field application, our research interests are shifting to ecological characterization of mosquito populations, field trial design, and implications for human disease transmission.

2. Landscape genomics to quantify mosquito movement:

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The safety and efficacy of mosquito genetic control strategies are critically dependent on an accurate understanding of mosquito movement patterns. To advance our understanding of the fine-scale movement patterns of mosquitoes, we are exploring the application of landscape genomic methods with Dr. Gordana Rašić of QIMR Berghofer Medical Research Institute in Australia. The particular methods we are interested in - close-kin mark-recapture - involve intensive landscape sampling efforts and subsequent genetic sequencing to the extent required to infer close familial relationships (parent-offspring, full sibling, half sibling, etc.). Observations of pairs of closely-related individuals then provide information on displacement on the timescale of a generation, which collectively may be used to parameterize a predictive model of mosquito movement. The same studies can also be used to infer other demographic parameters, such as population size, and adult and larval mortality rates, as well as the impact of interventions on these parameters. Quantifying demographic and dispersal parameters of mosquito populations has been an enduring challenge, and these methods promise to provide a complementary approach of relevance to better understanding their ecology and control.

3. Mathematical modeling to support malaria elimination:

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Models play an important role in exploring the expected impact of different interventions against malaria, with simpler models providing general insights, and more complex models serving as planning tools. We are particularly interested in mosquito vector control, and are developing a modeling framework, VCOM (Vector Control Optimization Model), in collaboration with Dr. Samson Kiware of the Ifakara Health Institute in Tanzania, to explore the potential of a range of new and forthcoming technologies at suppressing mosquito populations. Despite recent successes in reducing malaria transmission with insecticide-treated nets and indoor residual spraying with insecticides, the protective effect of these interventions is limited because they target mosquitoes solely indoors, while mosquito vectors increasingly feed on humans outdoors and also feed on non-human hosts such as cattle. Novel vector control tools are now becoming available that target mosquitoes both indoors and outdoors and at different stages of their life cycle. VCOM is a population-based model that enables us to explore the impact of these interventions by modeling the entire mosquito life cycle and adult feeding cycle and the point at which each intervention has its impact. We also collaborate with the Malaria Elimination Initiative at UC San Francisco and the malaria modeling group at Imperial College London on projects related to malaria elimination.

4. Ethical, social, cultural and regulatory aspects of our work:

We have an active interest in contributing to the ongoing discussion on the ethical, social, cultural and regulatory implications of our work. We advocate for the safe and responsible use of technology to reduce the human disease burden, while respecting the wishes of communities and nation states, the environment, and national and international law. We have explored the application of the Cartagena Protocol, the fundamental regulatory document of the United Nations on the international movement of transgenic organisms, to gene-edited mosquitoes, and have conducted surveys of public attitudes on transgenic approaches to mosquito control in sub-Saharan Africa.

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