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Evolution under pH stress and high population densities leads to increased density-dependent fitness in the protist Tetrahymena thermophila
Authors:Felix Moerman  Angelina Arquint  Stefanie Merkli  Andreas Wagner  Florian Altermatt  Emanuel A Fronhofer
Institution:1. Department of Evolutionary Biology and Environmental Studies, University of Zürich, Winterthurerstrasse 190, Zürich, CH-8057 Switzerland;2. Department of Evolutionary Biology and Environmental Studies, University of Zürich, Winterthurerstrasse 190, Zürich, CH-8057 Switzerland

Swiss Institute of Bioinformatics, Quartier Sorge—Bâtiment Génopode, Lausanne, 1015 Switzerland

The Santa Fe Institute, Santa Fe, New Mexico, 87501 USA

Abstract:Abiotic stress is a major force of selection that organisms are constantly facing. While the evolutionary effects of various stressors have been broadly studied, it is only more recently that the relevance of interactions between evolution and underlying ecological conditions, that is, eco-evolutionary feedbacks, have been highlighted. Here, we experimentally investigated how populations adapt to pH-stress under high population densities. Using the protist species Tetrahymena thermophila, we studied how four different genotypes evolved in response to stressfully low pH conditions and high population densities. We found that genotypes underwent evolutionary changes, some shifting up and others shifting down their intrinsic rates of increase (r0). Overall, evolution at low pH led to the convergence of r0 and intraspecific competitive ability (α) across the four genotypes. Given the strong correlation between r0 and α, we argue that this convergence was a consequence of selection for increased density-dependent fitness at low pH under the experienced high density conditions. Increased density-dependent fitness was either attained through increase in r0, or decrease of α, depending on the genetic background. In conclusion, we show that demography can influence the direction of evolution under abiotic stress.
Keywords:Artificial selection  density regulation  eco-evolutionary feedback  experimental evolution  microcosm
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