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林业科学 ›› 2022, Vol. 58 ›› Issue (8): 136-148.doi: 10.11707/j.1001-7488.20220814

• 研究论文 • 上一篇    下一篇

山桐子健康和感病植株不同器官区细菌群落结构、多样性与功能预测分析

李志,薛晓焱,刘震,蔡齐飞,耿晓东,冯建,周慧娜,张涛,李明婉,王艳梅*   

  1. 河南农业大学林学院 郑州 450002
  • 收稿日期:2021-12-09 出版日期:2022-08-25 发布日期:2022-12-19
  • 通讯作者: 王艳梅
  • 基金资助:
    河南省博士后科研项目(202002053);国家自然科学基金项目(32000267);河南省科技攻关计划(152102110059);河南省科技兴林项目(30602128)

Analysis of Bacterial Community Structure, Diversity and Functional Prediction in Different Organs of Healthy and Diseased Idesia polycarpa Plants

Zhi Li,Xiaoyan Xue,Zhen Liu,Qifei Cai,Xiaodong Geng,Jian Feng,Huina Zhou,Tao Zhang,Mingwan Li,Yanmei Wang*   

  1. College of Forestry, Henan Agricultural University Zhengzhou 450002
  • Received:2021-12-09 Online:2022-08-25 Published:2022-12-19
  • Contact: Yanmei Wang

摘要:

目的: 探明健康和感病山桐子植株土壤、树皮及叶片细菌群落结构、多样性和功能特征,为致病菌验证及山桐子病害生物防控提供参考。方法: 基于高通量测序技术,通过OTU数量、鉴定类群、多样性指数及功能预测等方法,分析健康和感病山桐子不同器官区细菌组成、多样性和功能的差异。结果: 测序结果表明,山桐子的不同器官区都有其各自特有的菌群,变形菌门(Proteobacteria)、放线菌门(Actinobacteria)、酸杆菌门(Acidobacteria)是土壤主要的细菌类群,蓝细菌门(Cyanobacteria)、变形菌门是树皮和叶片主要的细菌类群;健康和感病山桐子相同器官区的优势菌属也存在差异,感病山桐子树皮中肠杆菌科的BrenneriaHafnia-Obesumbacterium相对丰度显著高于健康山桐子;多样性分析结果显示,山桐子各器官区细菌群落多样性和丰富度由高到低均表现为土壤>树皮>叶片,土壤和叶片细菌群落Chao1指数、Shannon指数和Simpson指数在健康植株和病株间无显著差异,感病树皮细菌群落Simpson指数显著高于健康树皮;PICRUSt功能预测表明,感病山桐子根际土壤相关生物合成功能基因富集,感病山桐子树皮金黄色葡萄球菌感染及相关氨基酸代谢功能基因富集。结论: 山桐子植株感病后,各器官区细菌群落结构和多样性均受到影响,叶片区域细菌群落结构受影响较小,根际土壤、树皮区域细菌的群落结构和功能存在显著差异,感病植株树皮区域细菌群落多样性升高,感病树皮样本中存在丰度较高的林木病原细菌,说明山桐子主要发病区域为植株树皮区域。

关键词: 山桐子, 高通量测序, 细菌群落结构, 多样性, PICRUSt功能预测

Abstract:

Objective: This study aims to explore the structure, diversity and functional characteristics of bacterial communities in the soil, bark and leaves of healthy and diseased Idesia polycarpa plants, so as to lay a foundation for pathogenic bacteria verification and biological prevention and control of I. polycarpa diseases. Method: Based on high-throughput sequencing technology, the differences of bacterial composition, diversity and function in different organs and rhizosphere soil of healthy and diseased I. polycarpa were analyzed by OTU number, identification group, diversity index and functional prediction. Result: The sequencing results showed that different organs and areas of I. polycarpa had their own unique bacterial groups. Proteobacteria, Actinobacteria and Acidobacteria were the main bacterial groups in the soil, and Cyanobacteria and Proteobacteria were the main bacterial groups in bark and leaves. The relative abundance of Brenneria and Hafnia-Obesumbacterium of Enterobacteriaceae in the bark of diseased I. polycarpa was significantly higher than that of healthy I. polycarpa. The results of diversity analysis showed that the diversity and richness of bacterial communities in all organs and areas of I. polycarpa were soil > bark > leaf from high to low. There was no significant difference in Chao1 index, Shannon index and Simpson index between healthy and diseased plants, and the Simpson index of bacteria in diseased tree bark was significantly higher than that of healthy bark. The PICRUSt function prediction showed that the genes related to biosynthesis in rhizosphere soil of diseased I. polycarpa were enriched, and the genes related to Staphylococcus aureus infection and amino acid metabolism in bark of diseased I. polycarpa were enriched. Conclusion: The bacterial community structure and diversity in different organs and areas of I. polycarpa are affected after the plants are infected. The bacterial community structure in the leaf area is less affected. There are significantly differences in the community structure and function of bacteria betwenn the rhizosphere soil and bark. The bacterial diversity in the bark area of infected plants increases significantly, and the forest pathogenic bacteria in the infected bark have high abundance, indicating that the main disease area of I. polycarpa is the plant bark area. This study provides a theoretical basis for studying the pathogenic mechanism and disease control of I. polycarpa.

Key words: Idesia polycarpa, high-throughput sequencing, bacterial community structure, diversity, PICRUSt functional prediction

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