Molecular Ecology · 2023 · 24 citations · 79 references
Life SciencesEcologyPlant SciencesCommunity EcologyMicrobial EcologyPlant EcologyFungal DiversityPlant Community DynamicsPlant Community EcologyPlant-pathogen InteractionsPlant-pathogenic FungiRoot-microbe InteractionsDiversity-productivity RelationshipsFungal Community DiversityFungal Community EcologyPathogenic Fungal DiversityPlant Species AbundancePlant-associated Fungal CommunitiesPlant-associated Fungal DiversityRoot-associated Fungal Communities
Root-associated fungi could play a role in determining both the positive relationship between plant diversity and productivity in experimental grasslands, and its strengthening over time. This hypothesis assumes that specialized pathogenic and mutualistic fungal communities gradually assemble over time, enhancing plant growth more in species-rich than in species-poor plots. To test this hypothesis, we used high-throughput amplicon sequencing to characterize root-associated fungal communities in experimental grasslands of 1 and 15 years of age with varying levels of plant species richness. Specifically, we tested whether the relationship between fungal communities and plant richness and productivity becomes stronger with the age of the experimental plots. Our results showed that fungal diversity increased with plant diversity, but this relationship weakened rather than strengthened over the two time points. Contrastingly, fungal community composition showed increasing associations with plant diversity over time, suggesting a gradual build-up of specific fungal assemblages. Analyses of different fungal guilds showed that these changes were particularly marked in pathogenic fungi, whose shifts in relative abundance are consistent with the pathogen dilution hypothesis in diverse plant communities. Our results suggest that root-associated fungal pathogens play more specific roles in determining the diversity-productivity relationship than other root-associated plant symbionts.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
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
Patrick D. Schloss, Sarah L. Westcott, Thomas Ryabin et al. · Applied and Environmental Microbiology · 2009 · 21.8K citations · Full text