New Phytologist · 2020 · 152 citations · 54 references
Life SciencesPlant BiologyPlant SciencesMicrobial EcologyMycologyPlant-microbe InteractionsFungal DiversityFungal SymbiosisMycorrhizal AssociationsPlant-associated Microbial CommunitiesArbuscular Mycorrhizal SymbiosisBeta DiversityFungal Community DiversityFungal Community EcologyMycorrhizal Community StructurePlant Functional DiversityPlant Functional GroupsRoot-associated Fungal Communities
Summary The benefits of the arbuscular mycorrhizal (AM) symbiosis between plants and fungi are modulated by the functional characteristics of both partners. However, it is unknown to what extent functionally distinct groups of plants naturally associate with different AM fungi. We reanalysed 14 high‐throughput sequencing data sets describing AM fungal communities associating with plant individuals (2427) belonging to 297 species. We examined how root‐associating AM fungal communities varied between plants with different growth forms, photosynthetic pathways, CSR (competitor, stress‐tolerator, ruderal) strategies, mycorrhizal statuses and N‐fixing statuses. AM fungal community composition differed in relation to all studied plant functional groups. Grasses, C 4 and nonruderal plants were characterised by high AM fungal alpha diversity, while C 4 , ruderal and obligately mycorrhizal plants were characterised by high beta diversity. The phylogenetic diversity of AM fungi, a potential surrogate for functional diversity, was higher among forbs than other plant growth forms. Putatively ruderal (previously cultured) AM fungi were disproportionately associated with forbs and ruderal plants. There was phylogenetic correlation among AM fungi in the degree of association with different plant growth forms and photosynthetic pathways. Associated AM fungal communities constitute an important component of plant ecological strategies. Functionally different plants associate with distinct AM fungal communities, linking mycorrhizal associations with functional diversity in ecosystems.
54
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
BLAST+: architecture and applications
Christiam Camacho, George Coulouris, Vahram Avagyan et al. · BMC Bioinformatics · 2009 · 23.2K citations · Full text
UCHIME improves sensitivity and speed of chimera detection
R. C. Edgar, Brian J. Haas, José C. Clemente et al. · Bioinformatics · 2011 · 15.5K citations · Full text
Life Sciences, Biology, Microbiology +17
Picante: R tools for integrating phylogenies and ecology
Steven W. Kembel, Peter D. Cowan, Matthew R. Helmus et al. · Bioinformatics · 2010 · 6.4K citations · Full text