United States Department of Agriculture- Agricultural Research Service, Fort Keogh Livestock & Range Research Laboratory, 243 Fort Keogh Road, Miles City, MT 59301-4016, USA.
Ecol Lett. 2012 Jul;15(7):689-95. doi: 10.1111/j.1461-0248.2012.01786.x. Epub 2012 Apr 17.
We assessed whether (1) arbuscular mycorrhizal colonization of roots (RC) and/or plant responses to arbuscular mycorrhizae (MR) vary with plant phylogeny and (2) MR and RC can be more accurately predicted with a phylogenetic predictor relative to a null model and models with plant trait and taxonomic predictors. In a previous study, MR and RC of 95 grassland species were measured. We constructed a phylogeny for these species and found it explained variation in MR and RC. Next, we used multiple regressions to identify the models that most accurately predicted plant MR. Models including either phylogenetic or phenotypic and taxonomic information similarly improved our ability to predict MR relative to a null model. Our study illustrates the complex evolutionary associations among species and constraints of using phylogenetic information, relative to plant traits, to predict how a plant species will interact with AMF.
我们评估了（1）根系丛枝菌根定殖（RC）和/或植物对丛枝菌根的响应（MR）是否随植物系统发育而变化，以及（2）与零模型和具有植物性状和分类学预测因子的模型相比，MR 和 RC 是否可以通过系统发育预测因子更准确地预测。在之前的一项研究中，测量了 95 种草原物种的 MR 和 RC。我们为这些物种构建了一个系统发育树，并发现它解释了 MR 和 RC 的变化。接下来，我们使用多元回归来确定最能准确预测植物 MR 的模型。与零模型相比，包含系统发育或表型和分类学信息的模型同样提高了我们预测 MR 的能力。我们的研究说明了物种之间复杂的进化关系，以及相对于植物性状，使用系统发育信息来预测植物物种与 AMF 相互作用的方式的限制。
