An evidence-based consensus for the classification of arbuscular mycorrhizal fungi (Glomeromycota)
The publication of a large number of taxon names at all levels within the arbuscular mycorrhizal fungi (Glomeromycota) has resulted in conflicting systematic schemes and generated considerable confusion among biologists working with these important plant symbionts. A group of biologists with more than a century of collective experience in the systematics of Glomeromycota examined all available molecular–phylogenetic evidence within the framework of phylogenetic hypotheses, incorporating morphological characters when they were congruent. This study is the outcome, wherein the classification of Glomeromycota is revised by rejecting some new names on the grounds that they are founded in error and by synonymizing others that, while validly published, are not evidence-based. The proposed “consensus” will provide a framework for additional original research aimed at clarifying the evolutionary history of this important group of symbiotic fungi.
KeywordsGlomeromycota Classification Taxonomy Phylogenetics
The authors DR and HS would like to thank the Burgundy Regional Council and the Swiss National Science Foundation for the funding. JBM would like to thank the US National Science Foundation (grant DBI0650735) for the funding. Jessica Frank, Yael Tarkovsky (both West Virginia University), and David Stille (Ludwig-Maximilians-University) generated sequences for this publication. We thank Jan Jansa for providing specimens of the fungus originally determined as S. nigra and Jeffrey O. Dawson, University of Illinois, Champaign–Urbana, for collecting a sample from the Morrow plots from which D. heterogama (IL203) was cultured. We also acknowledge the help of the herbaria at Oregon State University (OSC) and Zurich (Z + ZT) for loan of type material. The technical support by Valérie Monfort-Pimet (International Bank for the Glomeromycota) is gratefully acknowledged. AS would like to thank the German Research Foundation for the funding (DFG grant Schu1203/8). SLS would like to thank the Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq) Brazil for a Research Assistantship (Process 302667/2009-1).
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