title: Predicting plant responses to mycorrhizae: integrating evolutionary history and plant traits.
abstract: 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.
authors.affiliation: United States Department of Agriculture- Agricultural Research Service, Fort Keogh Livestock & Range Research Laboratory, 243 Fort Keogh Road, Miles City, MT 59301-4016, USA. kurt.reinhart@ars.usda.gov
authors.forename: Kurt O
authors.initials: KO
authors.lastname: Reinhart
authors.forename: Gail W T
authors.initials: GW
authors.lastname: Wilson
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Rinella
mesh_terms: D019684:Magnoliopsida / Q000235:genetics / Q000382:microbiology*; D008954:Models, Biological; D038821:Mycorrhizae / Q000502:physiology*; D010802:Phylogeny; D012044:Regression Analysis; D013559:Symbiosis