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Published on: August 18, 2023
Evo-Inspired Engineering of Radical Phenotypes and Emergent Traits
Leslie S Babonis1, Daniel A Hahn2, Allen P Liu3
1Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.
None:
Nature has already solved many challenges that synthetic biology seeks to address. At the same time, high-throughput platforms and artificial intelligence-driven design tools are redefining the landscape of synthetic biology. By integrating evolutionary insights with new enabling technologies, we are poised to move beyond modifying existing traits to engineering entirely new cellular functions. This series of vignettes explores how phenotypic engineering, inspired by nature's most extreme adaptations, represents the next frontier in synthetic biology. We first make a case for the importance of continuing to explore nature by examining how foundational discoveries in molecular biology, motivated by curiosity to understand how life works rather than immediate application, laid the groundwork for modern applications in biology. Next, we discuss how evolution produced novel cell types with extraordinary properties and how leveraging these innovations can enable the creation of radical phenotypes beyond natural evolutionary constraints. Then, we explore the potential of artificial cells, constructed from the bottom up, as experimental platforms for studying genotype-phenotype relationships and testing evolutionary principles in real time. Finally, we argue that engineering radical phenotypes and emergent traits will require better investment in basic science, infrastructure, and graduate training to avoid bottlenecking innovation. History has shown that committing to basic science results in transformative solutions with far-reaching societal and economic benefits. By drawing inspiration from evolution and expanding synthetic biology beyond traditional model systems, we can push current boundaries to open new avenues for fundamental discovery and technological advances to stimulate the bioeconomy.
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