Colossal Biosciences Unveils GenoMorph AI Platform to Identify Gene-Editing Targets for De-Extinction
The company announced a new AI system designed to overcome the challenge of limited ancient DNA by predicting which genetic changes are responsible for extinct species' unique traits.
What happened
Colossal Biosciences announced Wednesday an AI platform called GenoMorph that uses 3D morphology, comparative genomics, and developmental biology to identify genes suitable for editing in de-extinction projects. The platform was trained on developmental data from chickens, quail, ducks, and pigeons combined with genetic information and 3D skull measurements from over 70 bird species, taking more than a year to develop. GenoMorph has already identified approximately 2,300 promising DNA editing targets for dodo cranial-facial morphology. The company also announced its Nicobar pigeon colony now has 36 birds and has successfully created the cells that become eggs and sperm. Additionally, XPRIZE founder Peter Diamandis, an investor in Colossal, announced Wednesday the formation of a new VC firm, NeoGenesis Capital, to back companies using Colossal's programmable biology platform.
Context
Colossal faces a fundamental bottleneck in de-extinction: identifying which genetic differences actually make an extinct species unique when ancient DNA samples are severely limited. The dodo presents an extreme case, with only one complete genome available compared to 100 genomes for the woolly mammoth project, because cold climates preserve DNA better than the tropical environment where dodos lived. GenoMorph addresses this by using AI to predict which genetic switches controlled specific traits without requiring extensive comparative data. The company is developing complementary technology using lipid nanoparticles to deliver gene-editing tools into developing bird embryos, allowing testing of genetic changes without waiting through full breeding cycles. The convergence of these technologies suggests the company believes it is moving from theoretical capability toward practical validation of its de-extinction approach.