ArticleScientific data2025
Seasonal bacterial profiles of Vellozia with distinct drought adaptations in the megadiverse campos rupestres.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Seasonal bacterial profiles of Vellozia with distinct drought adaptations in the megadiverse campos rupestres.Scientific data · 2025Article
- Comparative root associated microbial community analysis ofFrontiers in microbiology · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
Microbial communities can vary as a function of seasonal precipitation and the phenotypic characteristics of the prevailing plant species in an ecosystem. The Brazilian campos rupestres (CRs) host a unique flora adapted to harsh conditions, including severe droughts and nutrient-poor soils. Velloziaceae, a dominant angiosperm family in CRs, exhibit contrasting drought adaptive strategies, prominently desiccation tolerance and dehydration avoidance. Here, we created a comprehensive dataset of microbial composition and dynamics of bulk soil and distinct plant compartments (leaf blade, dry sheath, aerial root, and underground root) from two desiccation-tolerant and two dehydration-avoiding, non-desiccation-tolerant Vellozia species, across four seasons (beginning and end of rainy and dry seasons) through 16S rRNA gene sequencing of 374 samples. This dataset also includes 38 soil metagenomes encompassing dry and rainy seasons from both drought adaptive strategies. Exploring an overlooked aspect of CRs biology offers significant potential for understanding plant-microbial associations and adaptations to water availability in tropical regions. The genetic data and metadata support further research for hypothesis testing and cross-study comparisons.
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