Department of Biology, School of Natural Resources and Environment, University of Florida, Gainesville, Florida, United States of America.
PLoS One. 2010 Oct 27;5(10):e13685. doi: 10.1371/journal.pone.0013685.
Local plant-soil associations are commonly studied at the species-level, while associations at the level of nodes within a phylogeny have been less well explored. Understanding associations within a phylogenetic context, however, can improve our ability to make predictions across systems and can advance our understanding of the role of evolutionary history in structuring communities.
METHODOLOGY/PRINCIPAL FINDINGS: Here we quantified evolutionary signal in plant-soil associations using a DNA sequence-based community phylogeny and several soil variables (e.g., extractable phosphorus, aluminum and manganese, pH, and slope as a proxy for soil water). We used published plant distributional data from the 50-ha plot on Barro Colorado Island (BCI), Republic of Panamá. Our results suggest some groups of closely related species do share similar soil associations. Most notably, the node shared by Myrtaceae and Vochysiaceae was associated with high levels of aluminum, a potentially toxic element. The node shared by Apocynaceae was associated with high extractable phosphorus, a nutrient that could be limiting on a taxon specific level. The node shared by the large group of Laurales and Magnoliales was associated with both low extractable phosphorus and with steeper slope. Despite significant node-specific associations, this study detected little to no phylogeny-wide signal. We consider the majority of the 'traits' (i.e., soil variables) evaluated to fall within the category of ecological traits. We suggest that, given this category of traits, phylogeny-wide signal might not be expected while node-specific signals can still indicate phylogenetic structure with respect to the variable of interest.
Within the BCI forest dynamics plot, distributions of some plant taxa are associated with local-scale differences in soil variables when evaluated at individual nodes within the phylogenetic tree, but they are not detectable by phylogeny-wide signal. Trends highlighted in this analysis suggest how plant-soil associations may drive plant distributions and diversity at the local-scale.
通常在物种层面研究本地植物-土壤的关联,而在系统发育中的节点水平上的关联则研究较少。然而,在系统发育背景下理解关联可以提高我们在跨系统进行预测的能力,并可以深入了解进化历史在构建群落中的作用。
方法/主要发现:在这里,我们使用基于 DNA 序列的群落系统发育和几种土壤变量(例如,可提取磷、铝和锰、pH 值以及斜率作为土壤水分的代理)来量化植物-土壤关联中的进化信号。我们使用了来自巴拿马共和国巴罗科罗拉多岛 (BCI) 50 公顷样地的已发表的植物分布数据。我们的结果表明,一些密切相关的物种确实存在相似的土壤关联。最值得注意的是,桃金娘科和紫葳科共享的节点与高水平的铝相关联,铝是一种潜在的有毒元素。夹竹桃科共享的节点与高可提取磷相关联,磷是一种在特定分类群水平上可能有限的养分。大的樟科和木兰科共享的节点与低可提取磷和更陡峭的坡度都有关联。尽管存在显著的节点特异性关联,但本研究几乎没有检测到系统发育范围内的信号。我们认为,评估的大多数“特征”(即土壤变量)属于生态特征类别。我们建议,考虑到这一特征类别,在系统发育范围内可能不会出现信号,而节点特异性信号仍可以指示与感兴趣变量相关的系统发育结构。
在 BCI 森林动态样地中,当在系统发育树的个别节点上评估时,一些植物类群的分布与局部尺度土壤变量的差异有关,但它们无法通过系统发育范围的信号来检测。本分析中强调的趋势表明了植物-土壤关联如何在局部尺度上驱动植物分布和多样性。