4.7 Article

Nothing in Evolution Makes Sense Except in the Light of Biology

Journal

BIOSCIENCE
Volume 71, Issue 4, Pages 370-382

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/biosci/biaa170

Keywords

evolution; predictability; quantitative genetics; adaptive evolution; population genetics; reintegrating biology

Categories

Funding

  1. National Science Foundation Reintegrating Biology Jumpstart workshop
  2. National Science Foundation [1940791]
  3. Emerging Frontiers
  4. Direct For Biological Sciences [1940791] Funding Source: National Science Foundation

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This article discusses the predictability of the evolutionary process in biology, and it emphasizes that whether evolution is predictable depends on the ability to collect the right data. It also identifies factors that generate unpredictability and explores the data and value required to predict evolutionary outcomes.
A key question in biology is the predictability of the evolutionary process. If we can correctly predict the outcome of evolution, we may be better equipped to anticipate and manage species' adaptation to climate change, habitat loss, invasive species, or emerging infectious diseases, as well as improve our basic understanding of the history of life on Earth. In the present article, we ask the questions when, why, and if the outcome of future evolution is predictable. We first define predictable and then discuss two conflicting views: that evolution is inherently unpredictable and that evolution is predictable given the ability to collect the right data. We identify factors that generate unpredictability, the data that might be required to make predictions at some level of precision or at a specific timescale, and the intellectual and translational value of understanding when prediction is or is not possible.

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