Flowers are valuable systems for studying phenotypic correlation structure of multiple traits as they represent a complex modular organ subjected to selective pressures provided by their pollinators. In the proposed project, we aim to apply phenotypic integration methods (on previous collected data) for assessing floral trait correlation and covariation across the distribution range of Krameria grandiflora, involved in a specialized interaction with oil-collecting bees. As selective pressures are assumed to reduce phenotypic variation and increase integration in specialized systems, we expected that K. grandiflora flowers represent integrated phenotypes, regarding functional semi-modules, across populations. We also predict that magnitude and pattern of integration within this system differ among population even complexity and specialization are conservative within the clade.
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