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‘Explosive’ evolution in pupfish

Two groups of small fish, one from a Caribbean island and one from the Yucatan peninsula of Mexico, exhibit some of the fastest rates of evolution known in any organism, according to a new UC Davis study.

About 50 species of pupfish are found from Massachusetts to Venezuela — and they are all pretty much the same, said lead study author Chris Martin, a UC Davis graduate student working with Peter Wainwright, a professor of evolution and ecology at UC Davis.

“They look the same and they act the same,” eating detritus and algae off rocks, Martin said.

Except in two places. In shallow, salty lakes on San Salvador island in the Bahamas, Martin found that one of the three pupfish species present lives by biting the scales off other fish, while another eats small snails and clam shrimp.

No other pupfish is known to eat scales, Martin said.

Among pupfish originally from the Yucatan area, one eats other fish and another feeds on plankton. Sadly, these fish are now extinct in the wild and only found in labs and aquaria.

The pupfish evolved changes to their jaws to match their specialized diet, allowing Martin to construct an evolutionary map for the species.

If the evolution of all pupfish is like a steadily expanding cloud, Martin found that the San Salvador Island and Yucatan pupfish are like bursts of fireworks within it. They show explosive rates of evolution — changing up to 130 times faster than other pupfish, he said.

It’s not clear why the pupfish in the two locations are evolving so fast. In both places, the lake water is hot and salty — but that’s true in other places where pupfish live. And mosquito fish, found in the same two lakes, show no signs of rapid change.

Martin is continuing his research by taking lab-bred fish, including hybrids, back to the lakes to see whether they thrive. He hopes to see which fish succeed out of a spectrum of hybrids.

The research is published online in the journal Evolution. Martin is a National Science Foundation graduate research fellow.


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