Measuring, comparing and interpreting phenotypic selection on floral scent

Autor: Øystein H. Opedal, Karin Gross, Elodie Chapurlat, Amy Parachnowitsch, Nina Joffard, Nina Sletvold, Otso Ovaskainen, Magne Friberg
Přispěvatelé: Biosciences, Organismal and Evolutionary Biology Research Programme, Otso Ovaskainen / Principal Investigator, Department of Agricultural Sciences, Department of Biology, Lund University, Lund, Sweden, Lund University [Lund], Paris Lodron University of Salzburg - Department of Environment and Biodiversity, Uppsala University, Swedish University of Agricultural Sciences (SLU), University of New Brunswick, Fredericton, Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 (Evo-Eco-Paléo (EEP)), Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of Jyväskylä (JYU), Organismal and Evolutionary Biology [Helsinki], Viikki Plant Science Centre (ViPS), Faculty of Biological and Environmental Sciences [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Biological and Environmental Sciences [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Biology [Trondheim] (IBI NTNU), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Evolutionary Biology
Journal of Evolutionary Biology, 2022, ⟨10.1111/jeb.14103⟩
ISSN: 1010-061X
1420-9101
DOI: 10.1111/jeb.14103⟩
Popis: Natural selection on floral scent composition is a key element of the hypothesis that pollinators and other floral visitors drive scent evolution. The measure of such selection is complicated by the high-dimensional nature of floral scent data and uncertainty about the cognitive processes involved in scent-mediated communication. We use dimension reduction through reduced-rank regression to jointly estimate a scent composite trait under selection and the strength of selection acting on this trait. To assess and compare variation in selection on scent across species, time and space, we reanalyse 22 datasets on six species from four previous studies. The results agreed qualitatively with previous analyses in terms of identifying populations and scent compounds subject to stronger selection but also allowed us to evaluate and compare the strength of selection on scent across studies. Doing so revealed that selection on floral scent was highly variable, and overall about as common and as strong as selection on other phenotypic traits involved in pollinator attraction or pollen transfer. These results are consistent with an important role of floral scent in pollinator attraction. Our approach should be useful for further studies of plant-animal communication and for studies of selection on other high-dimensional phenotypes. In particular, our approach will be useful for studies of pollinator-mediated selection on complex scent blends comprising many volatiles, and when no prior information on the physiological responses of pollinators to scent compounds is available.
Databáze: OpenAIRE