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Evolution favors flatter paths when fitness outcomes are equal, study finds

A surprising discovery by Technion researchers sheds new light on the dynamics of evolution. Published in the Proceedings of the National Academy of Sciences, the study shows that when an organism has several evolutionary paths available with equal fitness, the path it follows is not necessarily chosen at random.

Evolution favors flatter paths when fitness outcomes are equal, study finds

A recent study by researchers at the Technion has revealed that when organisms have multiple evolutionary paths with equal fitness, they do not choose these paths at random. Instead, populations tend to drift toward flatter regions of the evolutionary landscape, where traits are more robust to mutations and other disruptions.

Evolution is often described as organisms climbing fitness peaks, improving their chances of survival. However, in cases where multiple paths yield the same fitness level, the question arises: how does evolution select among these equivalent paths? The Technion researchers found that the choice is not random but rather deterministic, with populations tending to follow paths that confer greater robustness and resilience.

In essence, when fitness outcomes are equal, evolution favors directions that promote greater resilience to change. This property itself provides a survival advantage. The findings suggest that biological robustness and resilience can emerge spontaneously through evolutionary dynamics, even without direct selection favoring these traits.

The study's implications extend beyond biology. It could help explain patterns of biological variation observed in nature and deepen our understanding of the origins of robustness in living systems. Furthermore, the research may establish conceptual connections between evolutionary biology and fields such as deep learning, where neural networks often converge on flat minima that promote better generalization.

Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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