Metabarcoding reveals rhizosphere microbiome shifts between healthy and declining Quercus robur trees
Oak dieback affecting Quercus robur L. (pedunculate oak) in Northern Europe, is driven by a complex interaction of abiotic and biotic factors, such as pests, diseases, and environmental stress, including drought. To better understand the role of the soil microbiome in oak dieback, we analysed the di...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/395097 |
| Acceso en línea: | http://hdl.handle.net/10261/395097 https://api.elsevier.com/content/abstract/scopus_id/105002225632 |
| Access Level: | acceso abierto |
| Palabra clave: | Dieback Metabarcoding Microbial community Oomycete Pedunculate oak Rhizosphere |
| Sumario: | Oak dieback affecting Quercus robur L. (pedunculate oak) in Northern Europe, is driven by a complex interaction of abiotic and biotic factors, such as pests, diseases, and environmental stress, including drought. To better understand the role of the soil microbiome in oak dieback, we analysed the diversity and composition of the microbial communities in the rhizospheres of declining and visibly healthy trees. We used metabarcoding to describe the microbiome and baiting (i.e., the use of plant tissues to act as baits) to isolate species of Phytophthora, a protist genus known for its contribution to the decline of oak trees. Our findings revealed significant differences in bacterial alpha diversity and fungal beta diversity between the rhizospheres of healthy and declining trees. Viable isolates of several species of Phytophthora, such as Phytophthora plurivora, P. cactorum, and P. gonapodyides were obtained using the baiting technique. The results underscore the stand level diversity of rhizosphere soil microbiota and support our initial idea that microbial communities vary with tree health conditions. |
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