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Animal Ancestors Split Off: Cadherin Cell Glue (Holozoa)

By Michael Alan Prestwood

Sun 22 Feb 2026
Published 2 months ago.
Updated 4 days ago.
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This image shows three plausible body plans for early holozoans, ancestors of animals. A loose spherical cluster suggests early cadherin-based adhesion. The pear-shaped flagellated cell reflects choanoflagellate-like forms. The amoeboid shape represents flexible, crawling types.

Animal Ancestors Split Off: Cadherin Cell Glue (Holozoa)

~750 Million Years Ago (+/- 50 million)

Holozoa is the clade that includes all animals and their closest single‑celled relatives, but excludes fungi.

On the animal side of the split, our ancestors stayed “soft” and flexible to keep moving. They evolved Cadherins: calcium‑dependent adhesion proteins. These specialized proteins acted like Velcro to snap cells together into complex, multicellular bodies. Instead of becoming rigid like a fungus, animal cells used this glue to build muscles and tissues that could contract and expand. While the “body” became a massive, crawling, or swimming machine, they kept the ancient posterior flagellum in a time capsule, the sperm cell, ensuring that the ancestral rear-engine motor would always be what drives the next generation forward.

Possible Snowball Earth Link

Snowball Earth may have favored multicellularity or tighter cell cooperation in some eukaryotes, but we do not currently have clear evidence that the glaciations specifically selected for cadherins themselves. Cadherin-like adhesion machinery appears to predate animals and to have evolved in a unicellular holozoan context before true animals arrived.

— map / TST —

Michael Alan Prestwood
Author & Natural Philosopher
Prestwood writes on science-first philosophy, with particular attention to the convergence of disciplines. Drawing on his TST Framework, his work emphasizes rational inquiry grounded in empirical observation while engaging questions at the edges of established knowledge. With TouchstoneTruth positioned as a living touchstone, this work aims to contribute reliable, evolving analysis in an emerging AI era where the credibility of information is increasingly contested.
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