Colossal Biosciences Launched AI Tool for Dodo DNA

The startup identified 2,300 DNA targets using its new GenoMorph artificial intelligence platform.

Updated on Oct. 14, 2026 in Biotech

Colossal Biosciences Launched AI Tool for Dodo DNA

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Do you support the use of genetic engineering to attempt to bring back extinct species?

Colossal Biosciences has announced the development of GenoMorph, an AI tool designed to identify genetic targets for species de-extinction. Researchers used the technology to pinpoint 2,300 DNA targets associated with specific Dodo traits.

Why it matters

The company aims to regenerate extinct species through advanced genomic editing by inserting target DNA into the genome of a living pigeon relative. This represents a significant technical step in the broader effort to restore extinct animals.

The GenoMorph tool identifies trait-associated genome sections by training on DNA from other species. The company also utilized lipid nanoparticles to conduct genomic editing within an egg for the first time.

The players

Colossal Biosciences

This biotechnology startup focuses on using genetic engineering to bring extinct species back to life.

The details

Colossal Biosciences plans to integrate these identified targets into the genome of a pigeon relative to create a functional Dodo. This development builds upon the firm's broader research into de-extinction, which also includes active projects for the mammoth, thylacine, and giant Moa.

Colossal Biosciences was founded in 2021.
The Dodo was first documented by humans in the 16th century.
The company announced the development of GenoMorph on Wednesday, October 14, 2026.

The Tech Race

This development follows the precedent set by the Colossal Biosciences mammoth de-extinction project and extends the company's extinction reversal strategy. The integration of AI tools marks a technical evolution in how biotech firms identify and manipulate complex genetic markers.

While these genomic breakthroughs do not currently affect consumer technology, they represent a shift in the capabilities of synthetic biology. The advancement of lipid nanoparticle delivery and AI-driven trait identification may eventually influence future genetic medicine or agricultural practices.

The takeaway

The use of GenoMorph demonstrates how artificial intelligence is accelerating the timeline for complex biological engineering. These advancements highlight the growing synergy between high-speed computational modeling and laboratory-based genomic editing.