The ISME JournalGenomicsPeer-reviewed journal article
Plant-associated microbiomes promote nutrient turnover in impoverished substrates of a biodiversity hotspot
Antônio Pedro CamargoiD, Rafael Soares Correa de SouzaiD, Juliana JoséiD, Isabel Rodrigues GerhardtiD, Ricardo Augusto DanteiD, Supratim MukherjeeiD, Marcel HuntemanniD, Nikos C. KyrpidesiD, Marcelo Falsarella CarazzolleiD, Paulo ArrudaiD
Abstract
The substrates of the Brazilian campos rupestres have extremely low concentrations of key nutrients, mainly phosphorus, imposing severe restrictions to plant growth. Regardless, this ecosystem harbors enormous biodiversity which raises the question of how nutrients are cycled and acquired by the biosphere. To uncover the nutrient turnover potential of plant-associated microorganisms in the campos rupestres, we investigated the compositions and functions of microbiomes associated with two species of the Velloziaceae family that grow over distinct substrates (soil and rock). Amplicon, metagenomic, and metagenome-assembled genome sequence data showed that the campos rupestres harbor a novel assemblage of plant-associated prokaryotes and fungi. Compositional analysis revealed that the plant-associated soil and rock communities differed in taxonomic structure but shared a core of highly efficient colonizers that were strongly coupled with nutrient mobilization. Investigation of functional and abundance data revealed that the plant hosts actively recruit communities by exuding organic compounds and that the root-associated microbiomes possess a diverse repertoire of phosphorus turnover mechanisms. We also showed that the microbiomes of both plant species encompass novel populations capable of mobilizing nitrogen and that the substrate strongly influences the dynamics of this cycle. Our results show that the interplay between plants and their microbiomes shapes nutrient turnover in the campos rupestres. We highlight that investigation of microbial diversity is fundamental to understand plant fitness in stressful environments.
- organism: plant (other)
- assay: metagenomics
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 92
- FWCI
- 10.46
- Field percentile
- top 1%
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