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Measuring, comparin...
Measuring, comparing and interpreting phenotypic selection on floral scent
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- Opedal, Øystein H. (author)
- Lund University,Lunds universitet,Biodiversitet,Biologiska institutionen,Naturvetenskapliga fakulteten,Artbildning, anpassning och samevolution,Forskargrupper vid Lunds universitet,Biodiversity,Department of Biology,Faculty of Science,Speciation, Adaptation and Coevolution,Lund University Research Groups,Biodiversity Unit, Department of Biology Lund University Lund Sweden
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- Gross, Karin (author)
- Department of Environment & Biodiversity Paris Lodron University of Salzburg Salzburg Austria
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- Chapurlat, Elodie (author)
- Sveriges lantbruksuniversitet,Uppsala universitet,Uppsala University,Swedish University of Agricultural Sciences,Växtekologi och evolution,Institutionen för ekologi,Department of Ecology
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- Parachnowitsch, Amy (author)
- Department of Biology University of New Brunswick Fredericton New Brunswick Canada
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- Joffard, Nina (author)
- University of Lille, UMR 8198 – Evo‐Eco‐Paleo Lille France
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- Sletvold, Nina (author)
- Uppsala universitet,Uppsala University,Växtekologi och evolution
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- Ovaskainen, Otso (author)
- Department of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland;Organismal and Evolutionary Biology Research Programme University of Helsinki Helsinki Finland;Centre for Biodiversity Dynamics, Department of Biology Norwegian University of Science and Technology Trondheim Norway,University of Helsinki,Norwegian University of Science and Technology
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- Friberg, Magne (author)
- Lund University,Lunds universitet,Biodiversitet,Biologiska institutionen,Naturvetenskapliga fakulteten,Artbildning, anpassning och samevolution,Forskargrupper vid Lunds universitet,Biodiversity,Department of Biology,Faculty of Science,Speciation, Adaptation and Coevolution,Lund University Research Groups,Biodiversity Unit, Department of Biology Lund University Lund Sweden
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(creator_code:org_t)
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- 2022-09-30
- 2022
- English.
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In: Journal of evolutionary biology. - : Wiley. - 1010-061X .- 1420-9101. ; 35:11, s. 1432-1441
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Biologi -- Evolutionsbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Evolutionary Biology (hsv//eng)
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
Keyword
- floral fragrance
- floral scent
- natural selection
- plant–pollinator interactions
- reduced-rank regression
- selection gradient
Publication and Content Type
- art (subject category)
- ref (subject category)
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