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Natural selection and the predictability of evolution in Timema stick insects
Author(s) -
Patrik Nosil,
Romain Villoutreix,
Clarissa F. de Carvalho,
Timothy E. Farkas,
Víctor SoriaCarrasco,
Jeffrey L. Feder,
Bernard J. Crespi,
Zach Gompert
Publication year - 2018
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aap9125
Subject(s) - predictability , natural selection , selection (genetic algorithm) , biology , predation , genetic drift , evolutionary biology , ecology , fixation (population genetics) , genetic variation , statistics , mathematics , computer science , machine learning , genetics , gene
Predicting evolution remains difficult. We studied the evolution of cryptic body coloration and pattern in a stick insect using 25 years of field data, experiments, and genomics. We found that evolution is more difficult to predict when it involves a balance between multiple selective factors and uncertainty in environmental conditions than when it involves feedback loops that cause consistent back-and-forth fluctuations. Specifically, changes in color-morph frequencies are modestly predictable through time ( r 2 = 0.14) and driven by complex selective regimes and yearly fluctuations in climate. In contrast, temporal changes in pattern-morph frequencies are highly predictable due to negative frequency-dependent selection ( r 2 = 0.86). For both traits, however, natural selection drives evolution around a dynamic equilibrium, providing some predictability to the process.

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