文献类型：期刊文献

英文题名：Chinese chestnut yellow crinkle disease influence microbiota composition of chestnut trees

作者：Ren, Fei[1,2] Dong, Wei[3] Shi, Shengqing[4] Dou, Guiming[2] Yan, Dong-Hui[2]

第一作者：Ren, Fei

通信作者：Yan, DH[1]

机构：[1]Acad Natl Food & Strateg Reserves Adm, Inst Cereal & Oil Sci & Technol, Beijing 100037, Peoples R China;[2]Chinese Acad Forestry, Key Lab Forest Protect, Res Inst Forest Ecol Environm & Protect, State Forestry & Grassland Adm China, Beijing 100091, Peoples R China;[3]China Elect Power Res Inst, Beijing 100192, Peoples R China;[4]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China

年份：2021

卷号：152

外文期刊名：MICROBIAL PATHOGENESIS

收录：;Scopus(收录号：2-s2.0-85099204349);WOS:【SCI-EXPANDED(收录号:WOS:000624919600012)】；

基金：This study was funded by the National Key R&D Program of China (2017YFD0600100), the Hebei Province Key R&D Program of China (20326508D), and Development Project of Research Institute of Forest Ecology, Environment and Protection, CAF (99813-2020).

语种：英文

外文关键词：Microbiota; Phytoplasma; Castanea mollissima; Disease

摘要：Context: Candidatus-phytoplasma castaneae has been found as the causal agent of the Chinese chestnut yellow crinkle disease. However, the ecological impact of the disease on microbiota of chestnut trees is unknown. Aims: The study aim was to clarify difference attributes in microbial community structure of asymptomatic and symptomatic chestnut leaves and twigs for chestnut tree health in orchard. Methods: Sample collections were conducted with both symptomatic and asymptomatic chestnut trees. Total DNA was extracted. Fungal ITS rDNA and bacterial 16S rDNA were amplified. The PCR products were sequenced with Illumina HiSeq. Platform. Results: A total number of 852 fungal and 1156 bacterial OTUs (operational taxonomic units) were detected. The asymptomatic samples had a higher fungal and bacterial diversity than symptomatic ones. Non-metric multidimensional scaling (NMDS) analysis showed microbial communities among symptomatic and asymptomatic leaves and twigs samples formed individual cluster. Overall, Ascomycota and Proteobacteria were the most abundant fungal and bacterial phyla, respectively. Significantly different taxa playing key roles for each microbiota structure were identified. In symptomatic trees, microbial groups of plant pathogens were more abundant. Conclusion: Our results demonstrated that the phytoplasma pathogen may exert significant influence on the microbial community structure. The study will provide further fundamental clues for the little studied phytoplasma pathogens effects on host microbiota, phytoplasma pathogen control strategies.