Predictable phenotypic, but not karyotypic, evolution of populations with contrasting initial history
Simões, Pedro (Universidade de Lisboa. Centre for Ecology, Evolution and Environmental Changes)
Fragata, Inês (Instituto Gulbenkian de Ciência)
Seabra, Sofia G. (Universidade de Lisboa. Centre for Ecology, Evolution and Environmental Changes)
Faria, Gonçalo S. (University of Saint Andrews. School of Biology)
Santos, Marta A. (Centro de Estudos de Doenças Crónicas)
Rose, Michael R. (University of California. Department of Ecology and Evolutionary Biology)
Santos, Mauro (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia)
Matos, Margarida (Universidade de Lisboa. Centre for Ecology, Evolution and Environmental Changes)

Date:	2017
Abstract:	The relative impact of selection, chance and history will determine the predictability of evolution. There is a lack of empirical research on this subject, particularly in sexual organisms. Here we use experimental evolution to test the predictability of evolution. We analyse the real-time evolution of Drosophila subobscura populations derived from contrasting European latitudes placed in a novel laboratory environment. Each natural population was sampled twice within a three-year interval. We study evolutionary responses at both phenotypic (life-history, morphological and physiological traits) and karyotypic levels for around 30 generations of laboratory culture. Our results show (1) repeatable historical effects between years in the initial state, at both phenotypic and karyotypic levels; (2) predictable phenotypic evolution with general convergence except for body size; and (3) unpredictable karyotypic evolution. We conclude that the predictability of evolution is contingent on the trait and level of organization, highlighting the importance of studying multiple biological levels with respect to evolutionary patterns.
Grants:	Ministerio de Economía y Competitividad CGL2013-42432-P Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-1346
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Published in:	Scientific reports, Vol. 7 (April 2017) , art. 913, ISSN 2045-2322

DOI: 10.1038/s41598-017-00968-1
PMID: 28424494

12 p, 2.9 MB

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