Diversity and Structure of Fungal Communities in Neotropical Rainforest Soils: The Effect of Host Recurrence
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The patterns of the distribution of fungal species and their potential interactions with trees remain understudied in Neotropical rainforests, which harbor more than 16,000 tree species, mostly dominated by endomycorrhizal trees. Our hypothesis was that tree species shape the non-mycorrhizal fungal assemblages in soil and litter and that the diversity of fungal communities in these two compartments is partly dependent on the coverage of trees in the Neotropical rainforest. In French Guiana, a long-term plantation and a natural forest were selected to test this hypothesis. Fungal ITS1 regions were sequenced from soil and litter samples from within the vicinity of tree species. A broad range of fungal taxa was found, with 42 orders and 14 classes. Significant spatial heterogeneity in the fungal communities was found without strong variation in the species richness and evenness among the tree plots. However, tree species shaped the fungal assemblages in the soil and litter, explaining up to 18 % of the variation among the communities in the natural forest. These results demonstrate that vegetation cover has an important effect on the structure of fungal assemblages inhabiting the soil and litter in Amazonian forests, illustrating the relative impact of deterministic processes on fungal community structures in these highly diverse ecosystems.
KeywordsFungal communities Amazonian forest Host recurrence Soil Litter Second-generation sequencing
The authors are grateful to anonymous reviewers for their comments and contributions in improving this manuscript. This manuscript was edited for English language by American Journal Experts (AJE). This work has benefited from an “Investissement d’Avenir” grant managed by the Agence Nationale de la Recherche (Lab of Excellence CEBA, ref. ANR-10-LABX-25-01). The UMR1136 is supported by a grant overseen by the French National Research Agency (ANR) as part of the “Investissements d’Avenir” program (Lab of Excellence ARBRE, ANR-11-LABX-0002-01). The authors declare no conflict of interest.
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