ArticleFrontiers in microbiology2019
A Metabarcoding Analysis of the Mycobiome of Wheat Ears Across a Topographically Heterogeneous Field.
Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Microbial assembly among plant parts of a tropical tree in different habitats and seasons.Microbiology spectrum · 2026Article
- Cultivation type, season, and soil nematode interactions affect wheat rhizosphere metabarcoding profiles.Frontiers in plant science · 2026Article
- The biocontrol agentFrontiers in plant science · 2025Article
- Taxonomic diversity in the global wheat phyllosphere mycobiome - a meta analysis.Frontiers in plant science · 2025Article
- Metabarcoding Reveals Impact of Different Land Uses on Fungal Diversity in the South-Eastern Region of Antioquia, Colombia.Plants (Basel, Switzerland) · 2023Article
- Environmental Filtering Drives Fungal Phyllosphere Community in Regional Agricultural Landscapes.Plants (Basel, Switzerland) · 2023Article
- Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnostic of Fungal Pathogens in Plants.Journal of fungi (Basel, Switzerland) · 2022Review
- Leaf Mycobiome and Mycotoxin Profile of Warm-Season Grasses Structured by Plant Species, Geography, and Apparent Black-Stroma Fungal Structure.Applied and environmental microbiology · 2022Article
- New-Generation Sequencing Technology in Diagnosis of Fungal Plant Pathogens: A Dream Comes True?Journal of fungi (Basel, Switzerland) · 2022Review
- Environmental DNA reveals diversity and abundance ofAerobiologia · 2022Article
- Fungi Inhabiting the Wheat Endosphere.Pathogens (Basel, Switzerland) · 2021Review
- Co-Cultivation ofMicroorganisms · 2021Article
- Future Climate Significantly Alters Fungal Plant Pathogen Dynamics during the Early Phase of Wheat Litter Decomposition.Microorganisms · 2020Article
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3 authors.
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Abstract
Plant associated microbial communities have recently received a lot of attention because thought to play a fundamental role in plant health and development. Focusing on cultivated crops, optimized farming practices must consider the role of these communities when aiming at reducing the impact of pathogens and increasing yields. Typical inhabitants of plant's phyllosphere are bacteria and microscopic fungi, some of them pathogenic for the plant and dangerous for the consumers, due to the production of toxins. In order to efficiently manage the microbiome, the natural drivers regulating community assembly must be clearly understood. In our study we investigated the within field variation of the phyllosphere mycobiome of wheat ears by metabarcoding of the fungal internal transcribed sequence 1 (ITS1). We selected a field characterized by a high topographic heterogeneity, which is reflected in differences in plant productivity and fitness across it. Samples were taken from 30 sampling points laid across the field where data-loggers were placed, measuring the productivity driven under canopy microclimate. The microclimatic conditions were tested as a source of potential environmental variance. Further independent spatial structures were tested using spatial eigenvector maps (MEMs). Results show considerable differences in the phyllosphere composition across the field. The local under canopy environmental conditions at each point were strong predictors of the community composition. Independent spatial effects given by the geographical position of the sampling points showed also a weaker but significant effect. Moreover we observed different spatial responses from different fungal phyla, with results resembling those described in studies done at a regional scale. This study is the first one to investigate the spatial variation of the phyllosphere mycobiome of a commercial crop within the same field. It contributes to the study of the epidemiology and community assembly dynamics of wheat phyllosphere fungi, showing how in-field community variations are the results of different environmental and spatial processes acting simultaneously. It also shows how heterogeneous fields are a smart and useful system to investigate the ecological mechanisms regulating plant microbiome composition.
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