ArticleMicrobial ecology2016
Deciphering the Pathobiome: Intra- and Interkingdom Interactions Involving the Pathogen Erysiphe alphitoides.
Article in Microbial ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed.
- Article
- Translational microbiomes in agriculture: microbial communities as tools to effect host and system health for improved crop production.Applied and environmental microbiology · 2026Review
- Integrated metabarcoding and culturomics reveal the rot-suppressive rhizoplane mycobiome of cassava across contrasting agroecological habitats.Frontiers in plant science · 2026Article
- A new scenario of pathogen-microbiota interactions involving the oomycete Plasmopara viticola.FEMS microbiology ecology · 2025Article
- Bayesian networks for network inference in biology.Journal of the Royal Society, Interface · 2025Review
- Unraveling the Intricacies of Powdery Mildew: Insights into Colonization, Plant Defense Mechanisms, and Future Strategies.International journal of molecular sciences · 2025Review
- Identification of microbial communities associated withFrontiers in microbiomes · 2025Article
- The impact of filamentous plant pathogens on the host microbiota.BMC biology · 2024Review
- Changes in Endophyte Communities across the Different Plant Compartments in Response to the Rice Blast Infection.The plant pathology journal · 2024Article
- Unraveling two decades of phyllosphere endophytes: tracing research trends and insights through visualized knowledge maps, with emphasis on microbial interactions as emerging frontiers.Stress biology · 2024Review
- Microbiome-Mediated Protection against Pathogens in Woody Plants.International journal of molecular sciences · 2023Review
- Changes in the foliar fungal community between oak leaf flushes along a latitudinal gradient in Europe.Journal of biogeography · 2022Article
- Microbiome and pathobiome analyses reveal changes in community structure by foliar pathogen infection in rice.Frontiers in microbiology · 2022Article
- Plant-Microbe Interaction: Aboveground to Belowground, from the Good to the Bad.International journal of molecular sciences · 2021Review
- Fungal microbiomes are determined by host phylogeny and exhibit widespread associations with the bacterial microbiome.Proceedings. Biological sciences · 2021Article
- Auxiliary rapid identification of pathogenic and antagonistic microorganisms associated with Coptis chinensis root rot by high-throughput sequencing.Scientific reports · 2021Article
- Host plant environmental filtering drives foliar fungal community assembly in symptomatic leaves.Oecologia · 2021Article
- Shaping the leaf microbiota: plant-microbe-microbe interactions.Journal of experimental botany · 2021Article
- Application of Deep Learning in Plant-Microbiota Association Analysis.Frontiers in genetics · 2021Review
- Impact of a resistance gene against a fungal pathogen on the plant host residue microbiome: The case of the Leptosphaeria maculans-Brassica napus pathosystem.Molecular plant pathology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant-inhabiting microorganisms interact directly with each other, forming complex microbial interaction networks. These interactions can either prevent or facilitate the establishment of new microbial species, such as a pathogen infecting the plant. Here, our aim was to identify the most likely interactions between Erysiphe alphitoides, the causal agent of oak powdery mildew, and other foliar microorganisms of pedunculate oak (Quercus robur L.). We combined metabarcoding techniques and a Bayesian method of network inference to decipher these interactions. Our results indicate that infection with E. alphitoides is accompanied by significant changes in the composition of the foliar fungal and bacterial communities. They also highlight 13 fungal operational taxonomic units (OTUs) and 13 bacterial OTUs likely to interact directly with E. alphitoides. Half of these OTUs, including the fungal endophytes Mycosphaerella punctiformis and Monochaetia kansensis, could be antagonists of E. alphitoides according to the inferred microbial network. Further studies will be required to validate these potential interactions experimentally. Overall, we showed that a combination of metabarcoding and network inference, by highlighting potential antagonists of pathogen species, could potentially improve the biological control of plant diseases.
Indexed as
Identifiers
27147439What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.