Document Detail


A global test of the pollination syndrome hypothesis.
MedLine Citation:
PMID:  19218577     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND AND AIMS: 'Pollination syndromes' are suites of phenotypic traits hypothesized to reflect convergent adaptations of flowers for pollination by specific types of animals. They were first developed in the 1870s and honed during the mid 20th Century. In spite of this long history and their central role in organizing research on plant-pollinator interactions, the pollination syndromes have rarely been subjected to test. The syndromes were tested here by asking whether they successfully capture patterns of covariance of floral traits and predict the most common pollinators of flowers. METHODS: Flowers in six communities from three continents were scored for expression of floral traits used in published descriptions of the pollination syndromes, and simultaneously the pollinators of as many species as possible were characterized. KEY RESULTS: Ordination of flowers in a multivariate 'phenotype space' defined by the syndromes showed that almost no plant species fall within the discrete syndrome clusters. Furthermore, in approximately two-thirds of plant species, the most common pollinator could not be successfully predicted by assuming that each plant species belongs to the syndrome closest to it in phenotype space. CONCLUSIONS: The pollination syndrome hypothesis as usually articulated does not successfully describe the diversity of floral phenotypes or predict the pollinators of most plant species. Caution is suggested when using pollination syndromes for organizing floral diversity, or for inferring agents of floral adaptation. A fresh look at how traits of flowers and pollinators relate to visitation and pollen transfer is recommended, in order to determine whether axes can be identified that describe floral functional diversity more successfully than the traditional syndromes.
Authors:
Jeff Ollerton; Ruben Alarcón; Nickolas M Waser; Mary V Price; Stella Watts; Louise Cranmer; Andrew Hingston; Craig I Peter; John Rotenberry
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-02-14
Journal Detail:
Title:  Annals of botany     Volume:  103     ISSN:  1095-8290     ISO Abbreviation:  Ann. Bot.     Publication Date:  2009 Jun 
Date Detail:
Created Date:  2009-06-01     Completed Date:  2009-07-22     Revised Date:  2010-09-23    
Medline Journal Info:
Nlm Unique ID:  0372347     Medline TA:  Ann Bot     Country:  England    
Other Details:
Languages:  eng     Pagination:  1471-80     Citation Subset:  IM    
Affiliation:
University of Northampton, UK. jeff.ollerton@northampton.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Animals
Flowers / physiology
Models, Biological*
Phenotype
Pollination / physiology*
Quantitative Trait, Heritable
Comments/Corrections

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