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New Database Reveals How Much Humans Are Messing With Evolution
If humans pluck the fattest fish from the ocean each time they cast their nets, it follows that only the smaller ones will survive to pass on their genes.
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Charles Darwin thought of evolution as an incremental process, like the patient creep of glaciers or the march of continental plates. "We see nothing of these slow changes in progress until the hand of time has marked the long lapse of ages," he wrote in On the Origin of Species, his famous 1859 treatise on natural selection.
But by the 1970s, scientists were finding evidence that Darwin might be wrong—at least about the timescale. Peppered moths living in industrial areas of Britain were getting darker, better for blending in against the soot-blackened buildings and avoiding predation from the air. House sparrows—introduced to North America from Europe—were changing size and color according to the climate of their new homes. Tufted hairgrass growing around electricity pylons was developing a tolerance for zinc (which is used as a coating for pylons, and can be toxic to plants).
In the late 1990s, biologist Andrew Hendry noticed similarly quick changes in phenotype while studying salmon. (Phenotype refers to the trait that actually exists in the animal, even if it's not reflected by a change in its underlying genetic code.) "We had this impression that well, actually, maybe this rapid evolution thing is not so exceptional," says Hendry, now a professor at McGill University in Montreal. "Maybe it's actually occurring all the time, and people just haven't emphasized it."
With a colleague, Michael Kinnison (now at the University of Maine), Hendry pulled together a database of examples of rapid evolution and wrote a 1999 paper that kickstarted interest in the field. Now, Hendry and colleagues have updated and expanded the original data set with more than 5,000 additional examples: everything from the cranial depth of the common chaffinch to the lifespan of the Trinidadian guppy. Scientists are using this data to answer questions about how fast and far the natural world is changing, and how much of the change is due to humans.
From Wired
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