title: Repeatability of adaptation in experimental populations of different sizes.
abstract: The degree to which evolutionary trajectories and outcomes are repeatable across independent populations depends on the relative contribution of selection, chance and history. Population size has been shown theoretically and empirically to affect the amount of variation that arises among independent populations adapting to the same environment. Here, we measure the contribution of selection, chance and history in different-sized experimental populations of the unicellular alga Chlamydomonas reinhardtii adapting to a high salt environment to determine which component of evolution is affected by population size. We find that adaptation to salt is repeatable at the fitness level in medium (Ne = 5 × 10(4)) and large (Ne = 4 × 10(5)) populations because of the large contribution of selection. Adaptation is not repeatable in small (Ne = 5 × 10(3)) populations because of large constraints from history. The threshold between stochastic and deterministic evolution in this case is therefore between effective population sizes of 10(3) and 10(4). Our results indicate that diversity across populations is more likely to be maintained if they are small. Experimental outcomes in large populations are likely to be robust and can inform our predictions about outcomes in similar situations.
authors: School of Biological Sciences, University of Edinburgh, King's Buildings, Ashworth Laboratories, Charlotte Auerbach Road, Edinburgh EH9 3FL, UK j.l.lachapelle@sms.ed.ac.uk.
authors: Josianne
authors: http://orcid.org/0000-0001-8164-6361
authors: J
authors: Lachapelle
authors: School of Biological Sciences, University of Edinburgh, King's Buildings, Ashworth Laboratories, Charlotte Auerbach Road, Edinburgh EH9 3FL, UK.
authors: Joshua
authors: J
authors: Reid
authors: School of Biological Sciences, University of Edinburgh, King's Buildings, Ashworth Laboratories, Charlotte Auerbach Road, Edinburgh EH9 3FL, UK.
authors: Nick
authors: N
authors: Colegrave
mesh_terms: D000220:Adaptation, Biological; D016825:Chlamydomonas reinhardtii / Q000235:genetics / Q000502:physiology*; D014644:Genetic Variation; D011156:Population Density; D012641:Selection, Genetic
keywords: Chlamydomonas reinhardtii; adaptation; experimental evolution; historical contingency; repeatability; stochasticity