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Fly eyes reveal nature's blueprint for metamaterials

Scientists have discovered that fly eyes develop as natural programmable metamaterials, revealing an "origami" blueprint that could inspire biomaterials, tissue engineering and regenerative medicine.

pink triangles overlying image of fly eye

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  • Fly eyes reveal nature's blueprint for metamaterials

Scientists from University College London (UCL) and the University of Seville have discovered that the developing eye of a fruit fly, Drosophila melanogaster, behaves like a natural programmable metamaterial, a finding that bridges developmental biology and engineering, and could inspire the next generation of biomaterials.

Published in Nature Communications, the study reveals how the intricate three-dimensional curvature of insect compound eyes is encoded in a flat sheet of cells long before the eye takes shape. Rather than sculpting the eye directly, evolution appears to have solved the problem by programming geometry into the tissue itself. 

The researchers found that the underside of the developing retina is organised into a microscopic mesh of interconnected triangles formed by elongated support cells. Like the crease pattern on an origami sheet, the size and arrangement of these triangles determine how the tissue bends when it expands during development, producing the precise local curvatures needed for specialised vision. 

“This is remarkably similar to programmable metamaterials designed by engineers,” said Professor Franck Pichaud, from UCL’s Laboratory for Molecular Cell Biology, who co-led the research. “The shape of the final structure is encoded not by changing the material itself, but by changing the geometry of the pattern.”

Metamaterials are engineered structures whose unusual properties arise from their architecture rather than the material they are made from. They are already being explored for applications ranging from cardiac patches and vascular stents to wound healing. The new study suggests nature evolved the same principle hundreds of millions of years ago. 

To test the idea, the researchers combined high-resolution imaging of developing Drosophila retinas with computational modelling. Using only the pattern of triangles observed in the developing eye, they were able to accurately predict the subtle curvature of adult eyes. When they genetically altered or disrupted the triangular mesh, the resulting eyes developed abnormal curvature exactly as the model predicted. 

The team also showed that the same triangular pattern exists in the closely related species Drosophila mauritiana, despite differences in eye size, suggesting that the mechanism has been conserved through evolution. 

The geometry is far more than an elegant design. Small changes in local eye curvature alter how neighbouring visual units point into the world, allowing different regions of the compound eye to become specialised for different visual tasks, such as detecting predators, locating mates or finding flowers. Understanding how these specialised visual regions develop could also improve our understanding of insects that pollinate crops. Around 75% of global food crops depend to some extent on animal pollination, making insights into insect sensory biology increasingly important.

Beyond insect vision, the work opens new possibilities for biomedical engineering. By demonstrating that living tissues can genetically encode three-dimensional shape through two-dimensional cellular architecture, the research provides a blueprint for designing biological materials that reliably fold into complex forms. Such principles could ultimately help engineers create programmable tissues for regenerative medicine, synthetic organs and transplant repair. As the authors conclude, the discovery offers “a strategy allowing for the rational design of shape-programmable 3D biological surfaces” with applications extending from synthetic morphogenesis to clinical medicine. 

The discovery also represents what the researchers describe as the first known example of a natural metamaterial whose properties are genetically programmed, showing that some of nature’s most sophisticated engineering solutions may already be hiding in plain sight. 

 

Links:

Nature Communications research article

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