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Full-Text Articles in Physical Sciences and Mathematics
Integrating Synthetic Biology Derived Variables Into Ecological Risk Assessment Using The Bayesian Network – Relative Risk Model: Gene Drives To Control Nonindigenous M. Musculus On Southeast Farallon Island, Ethan A. Brown
WWU Graduate School Collection
Ecological risk assessment has not been conducted for the proposed environmental applications of synthetic biology. To develop a quantitative framework for risk assessment of synthetic biology, I selected Southeast Farallon Island as a case study for modeling the deployment of gene drive modified house mice to reduce impacts to threatened species. Southeast Farallon Island is part of the Farallon Islands National Wildlife Refuge. The island is populated by invasive house mice that impact indigenous species. Gene drive technology has been proposed as a method to suppress invasive rodent populations through CRISPR-mediated genome editing. I applied the Bayesian Network – Relative …
Incorporating Characteristics Of Gene Drive Engineered Ae. Aegypti As Methods To Reduce Dengue And Zika Virus Into The Bayesian Network – Relative Risk Model, Using Ponce, Puerto Rico As A Case Study, Steven R. Eikenbary
WWU Graduate School Collection
This study proposes the use of the Bayesian network relative risk model (BN-RRM) to estimate the risk associated with the release of gene drives as vectors to control disease, using Ponce, Puerto Rico as a case study. Bayesian networks are an appropriate risk assessment tool for quantitatively and probabilistically examining complex systems involving multiple stressors acting on multiple endpoints in a wide variety of situations. The emerging field of synthetic biology has the capacity to drastically alter ecological systems with the use of gene drive engineered organisms as a method to alter population dynamics. The purpose of the release of …