Laboratorio de Ecología Evolutiva - Biología Floral, Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina.
J Evol Biol. 2014 Apr;27(4):724-36. doi: 10.1111/jeb.12341. Epub 2014 Feb 15.
Pollinator-mediated natural selection on single traits, such as corolla tube or spur length, has been well documented. However, flower phenotypes are usually complex, and selection is expected to act on several traits that functionally interact rather than on a single isolated trait. Despite the fact that selection on complex phenotypes is expectedly widespread, multivariate selection modelling on such phenotypes still remains under-explored in plants. Species of the subfamily Asclepiadoideae (Apocynaceae) provide an opportunity to study such complex flower contrivances integrated by fine-scaled organs from disparate developmental origin. We studied the correlation structure among linear floral traits (i) by testing a priori morphological, functional or developmental hypotheses among traits and (ii) by exploring the organization of flower covariation, considering alternative expectations of modular organization or whole flower integration through conditional dependence analysis (CDA) and integration matrices. The phenotypic selection approach was applied to determine whether floral traits involved in the functioning of the pollination mechanism were affected by natural selection. Floral integration was low, suggesting that flowers are organized in more than just one correlation pleiad; our hypothetical functional correlation matrix was significantly correlated with the empirical matrix, and the CDA revealed three putative modules. Analyses of phenotypic selection showed significant linear and correlational gradients, lending support to expectations of functional interactions between floral traits. Significant correlational selection gradients found involved traits of different floral whorls, providing evidence for the existence of functional integration across developmental domains.
传粉媒介介导的单一性状自然选择,如花冠管或距的长度,已有充分的记录。然而,花的表型通常是复杂的,选择预计会作用于几个功能上相互作用的性状,而不是单个孤立的性状。尽管复杂表型的选择预计是广泛存在的,但对这些表型的多变量选择模型在植物中仍然很少被探索。夹竹桃亚科(夹竹桃科)的物种为研究由不同发育起源的精细器官组成的复杂花装置提供了机会。我们通过检验性状之间的先验形态学、功能或发育假设(i),以及通过探索花协变的组织,考虑通过条件依赖分析(CDA)和整合矩阵的模块组织或整个花整合的替代期望,来研究线性花性状之间的相关结构。表型选择方法被应用于确定参与授粉机制的花性状是否受到自然选择的影响。花的整合度较低,表明花的组织方式不止一种相关组合;我们假设的功能相关矩阵与经验矩阵显著相关,CDA 揭示了三个可能的模块。表型选择分析显示出显著的线性和相关梯度,支持花性状之间存在功能相互作用的预期。发现的具有显著相关选择梯度的性状涉及不同的花轮,为跨发育领域的功能整合提供了证据。