Deciphering the Pathobiome: Intra- and Interkingdom Interactions Involving the Pathogen Erysiphe alphitoides

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• 作者：Boris Jakuschkin ; Virgil Fievet ; Loïc Schwaller ; Thomas Fort…
• 关键词：Plant microbiota ; Plant ; pathogen interaction ; Pathobiome ; Microbial network ; Network inference ; Disease resistance ; Biocontrol ; Powdery mildew
• 刊名：Microbial Ecology
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：72
• 期：4
• 页码：870-880
• 全文大小：666 KB
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Microbiology
  Ecology
  Geoecology and Natural Processes
  Nature Conservation
  
• 出版者：Springer New York
• ISSN：1432-184X
• 卷排序：72

文摘

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.