Evidence map›Paper›PMID 40795044›Full record

ReviewIntegrative and comparative biology2025

Evo-Inspired Engineering of Radical Phenotypes and Emergent Traits.

Leslie S Babonis, Daniel A Hahn, Allen P Liu, Joshua R Widhalm

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Leslie S BabonisDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0002-9783-4882
Daniel A HahnDepartment of Entomology and Nematology, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0003-0165-7488
Allen P LiuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-0309-7018
Joshua R WidhalmCenter for Plant Biology and Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-2703-4740

Funding

Gene Regulation and the Origin of New Cell TypesR35GM147253 · NIGMS · CORNELL UNIVERSITY · PI Leslie S Babonis · 2022 to 2026
$2.0M
Development of a mechanosensitive synthetic cell for mediating intercellular communication - Diversity SupplementR01EB030031 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIU, ALLEN PO-CHIH · 2020 to 2024
$1.3M
Gordon and Betty Moore Foundation 9331National Science Foundation EF1935265National Science Foundation MCB2201236NIBIB NIH HHS R01 EB030031NIGMS NIH HHS R35 GM147253NIH HHS EB030031NIH HHS R35GM147253United States Department of Agriculture 177845United States Department of Agriculture FLA-ENY-005943United States Department of Agriculture IND00065150G
6 · The paper itself

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.

Indexed as

Biological EvolutionPhenotypeSynthetic BiologyAnimals

Identifiers

PMID40795044
PMCPMC12448228

What OpenQuestion holds

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Registered trials

None linked

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.