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甜菜抗病品种产生抗性的土壤微生物机理
引用本文:刘洪,董元华,隋跃宇,李建刚. 甜菜抗病品种产生抗性的土壤微生物机理[J]. 中国农学通报, 2021, 37(15): 78-86. DOI: 10.11924/j.issn.1000-6850.casb2020-0441
作者姓名:刘洪  董元华  隋跃宇  李建刚
作者单位:1.中国科学院南京土壤研究所,土壤环境与污染修复重点实验室,南京 210008;2.中国科学院大学,北京 100049;3.中国科学院东北地理与农业生态研究所,黑土区农业生态重点实验室,哈尔滨 150081
基金项目:国家重点研发计划项目“土壤退化对农业主要有害生物发生影响机制”(2017YFD0200604);,“连作障碍抑制作物对养分吸收利用机理与消减技术”(2016YFD0200305);国家自然科学基金项目“连作番茄青枯病发生的动态过程及土壤生态学机制”(41977055)
摘    要:本研究以甜菜和根腐病为研究对象,分析了不同品种以及不同发病程度甜菜中土壤微生物群落组成、结构以及功能的变化,以期获得抗性品种、发病程度和根际微生物相互间的关系,揭示抗病品种的土壤微生物机制.利用抗病型和感病型两种甜菜品种作为研究对象,并从2种品种中分别选取了发病轻和发病重的甜菜根际土壤样品,通过Illumina MiS...

关 键 词:抗性育种  植物病害  细菌群落  真菌群落  高通量测序
收稿时间:2020-09-08

Soil Microbial Mechanism of Disease Resistant Sugar Beet Variety
Liu Hong,Dong Yuanhua,Sui Yueyu,Li Jiangang. Soil Microbial Mechanism of Disease Resistant Sugar Beet Variety[J]. Chinese Agricultural Science Bulletin, 2021, 37(15): 78-86. DOI: 10.11924/j.issn.1000-6850.casb2020-0441
Authors:Liu Hong  Dong Yuanhua  Sui Yueyu  Li Jiangang
Affiliation:1.CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008;2.University of Chinese Academy of Sciences, Beijing 100049;3.Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agro-ecology, Chinese Academy of Sciences, Harbin 150081
Abstract:This study took sugar beet and its root rot as the research objects, and analyzed the changes of soil microbial community composition, structure and function of different sugar beet varieties with different degrees of disease, so as to obtain the relationship among resistant varieties, degree of disease and rhizosphere microorganisms, and reveal the soil microbial mechanism of disease-resistant varieties. In this paper, two kinds of sugar beet varieties including the disease-resistant and disease-susceptible types were employed, and two different sugar beet varieties with low and high disease severity were separately selected to measure bacteria and fungi communities in their rhizosphere by Illumina MiSeq high-throughput sequencing technology. The results showed that the rhizosphere microbial (bacteria and fungi) diversity of sugar beet with lower disease symptom were relatively higher than that with higher disease severity, at the same time, the fungal diversity of disease-resistant sugar beet rhizosphere soil was higher than that in disease-sensitive types. NMDS analysis demonstrated that resistance breeding could significantly affect the community structure of soil fungi, and the community structure of both bacteria and fungi could be notably distinguished from different disease status. In terms of the enrichment of rhizosphere microorganisms, disease-resistant sugar beets enriched some beneficial bacteria such as Pseudomonas, Arthrobacter and Bacillus, while susceptible sugar beets enriched more plant pathogenic microorganisms-Fusarium oxysporum. In addition, the samples with lower disease severity tended to have more beneficial bacteria, including unclassified Acidobacteria, Bacillus, Rubrobacter, unclassified Actinomycetes, Streptomyces, and Nocardioides. Furthermore, FUNGuild functional prediction showed that more plant pathogens were detected in susceptible sugar beets and samples with higher disease severity. In conclusion, although disease-resistant varieties and healthy plants differ in microbial species, a large number of beneficial microorganisms gather in their rhizosphere, while disease-susceptible types and the plants with higher disease severity are more likely to be colonized by pathogenic microorganisms around the roots. One of the microbial mechanism of resistance formation in a disease-resistant sugar beet variety is that plants recruit more beneficial bacteria as the first line to defense against pathogen infection when the plants grow. This study clarifies the resistance mechanism of disease-resistant varieties from the perspective of soil microbiome and enriches the theoretical mechanism of resistance generation of disease-resistant varieties.
Keywords:resistance breeding  plant pathogen  bacterial community  fungal community  high-throughput sequencing  
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