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1 期               王宇等: 濒危植物珙桐根际微生物和根内生菌群落特点及功能分析                                            1 8 3





















             A. 基于 Trophic mode 真菌功能预测ꎻ B. 基于 FUNGuild 真菌功能预测ꎮ
             A. Fungal functional prediction based on Trophic modeꎻ B. Fungal functional prediction based on FUNGuild.
                                           图 8  真菌群落基于 FUNGuild 功能预测
                                Fig. 8  Functional prediction of fungal communities based on FUNGuild



            叠、分选和降解等 11 种功能均存在显著性差异ꎬ                             581-583.
                                                               CHEN Y Lꎬ XU T Lꎬ VERESOGLOU S Dꎬ et al.ꎬ 2017. Plant
            根际真菌仅地衣共生真菌功能存在显著性差异ꎬ
            表明不同种源珙桐可通过选择性招募特定根际微                                diversity represents the prevalent determinant of soil fungal
                                                                 community structure across temperate grasslands in northern
            生物来适应环境ꎮ 然而ꎬ本文仅对珙桐根际和根
                                                                 China [J]. Soil Biology and Biochemistryꎬ 110: 12-21.
            内微生物群落功能作了初步探索ꎬ为了进一步研
                                                               CHENG L Jꎬ WANG Lꎬ WU Y Mꎬ et al.ꎬ 2019. Analysis on
            究相关功能对应的微生物类群ꎬ后续可结合宏基                                microbial diversity in rhizosphere soil of Davidia involucrate
            因组技术和代谢组学进一步研究ꎮ                                      by high ̄throughput sequencing [J]. Guangdong Agricultural
                                                                 Sciencesꎬ 46(1): 43-49. [程立君ꎬ 王磊ꎬ 吴银梅ꎬ 等ꎬ
                                                                 2019. 高通量测序技术分析光叶珙桐根际土壤微生物多
            参考文献:                                                样性 [J]. 广东农业科学ꎬ 46(1): 43-49.]
                                                               DAI Z Mꎬ SU W Qꎬ CHEN H Hꎬ et al.ꎬ 2018. Long ̄term
            ALATANCUMBUERꎬ CAOWUJISIGULENGꎬ BAO J Hꎬ et al.ꎬ     nitrogen fertilization decreases bacterial diversity and favors
               2024. Diversity of fungi in the roots and rhizosphere soil of  the growth of Actinobacteria and Proteobacteria in agro ̄
               the endangered medicinal plant Dactylorhiza viridis [ J].  ecosystems across the globe [ J]. Global Change Biologyꎬ
               Microbiology Chinaꎬ 51(2): 460-470. [阿拉坦存布尔ꎬ 曹    24(8): 3452-3461.
               乌吉斯古楞ꎬ 包金花ꎬ 等ꎬ 2024. 濒危药用植物掌裂兰根                 DONG J Mꎬ 2024. Study on cutting and layering propagation
               部内生真菌和根际土真菌多样性分析 [J]. 微生物学通                       techniques of Davidia involucrata [D]. Yangling: Northwest
               报ꎬ 51(2): 460-470.                                Agriculture and Forestry University. [董嘉明ꎬ 2024. 珙桐扦
            BECRAFT E Dꎬ WOYKE Tꎬ JARETT Jꎬ et al.ꎬ 2017.        插及压条繁殖技术研究 [D]. 杨凌: 西北农林科技大学.]
               Rokubacteria: Genomic  giants  among  the  uncultured  DOUGLAS G Mꎬ MAFFEI V Jꎬ ZANEVELD J Rꎬ et al.ꎬ
               bacterial phyla [J]. Frontiers in Microbiologyꎬ 8: 2264.  2020. PICRUSt2 for prediction of metagenome functions
            BENSON D Rꎬ SILVESTER W Bꎬ 1993. Biology of Frankia  [J]. Nature Biotechnologyꎬ 38(6): 685-688.
               strainsꎬ actinomycete symbionts of  actinorhizal  plants  DU Sꎬ GAO X Zꎬ 2006. Technical specification of soil analysis
               [J]. Microbiological Reviewsꎬ 57(2): 293-319.     [M]. 2nd ed. Beijing: China Agriculture Press: 34-68. [杜
            BOLYEN Eꎬ RIDEOUT J Rꎬ DILLON M Rꎬ et al.ꎬ 2019.     森ꎬ 高祥照ꎬ 2006. 土壤分析技术规范 [M]. 2 版. 北京:
               Reproducibleꎬ  interactiveꎬ  scalable  and  extensible  中国农业出版社: 34-68.]
               microbiome data science using QIIME 2 [ J ]. Nature  FENG Kꎬ ZHANG Z Jꎬ CAI W Wꎬ et al.ꎬ 2017. Biodiversity
               Biotechnologyꎬ 37(8): 852-857.                    and species competition regulate the resilience of microbial
            CALLAHAN B Jꎬ MCMURDIE P Jꎬ ROSEN M Jꎬ et al.ꎬ       biofilm community [ J ]. Molecular Ecologyꎬ 26(21):
               2016. DADA2: High ̄resolution sample inference from  6170-6182.
               illumina amplicon data [ J ]. Nature Methodsꎬ 13(7):  GUAN Pꎬ ZHANG Y Jꎬ SHI J Mꎬ et al.ꎬ 2015. Genetic
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