ReviewIntegrative and comparative biology2025
Evo-Inspired Engineering of Radical Phenotypes and Emergent Traits.
Review in Integrative and comparative biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.