ArticleScientific reports2022
Analysis of rhizosphere bacterial communities of tobacco resistant and non-resistant to bacterial wilt in different regions.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Comparison of Soil Microbial Composition in Rhizospheres Between Wilt Disease-Resistant and Susceptible Melon Varieties.Microorganisms · 2025Article
- Article
- Naringenin restricts the colonization and growth of Ralstonia solanacearum in tobacco mutant KCB-1.Plant physiology · 2024Article
- Deciphering Differences in Microbial Community Diversity between Clubroot-Diseased and Healthy Soils.Microorganisms · 2024Article
- Next-generation sequencing-based comparative mapping and culture-based screening of bacterial rhizobiome inFrontiers in microbiology · 2024Article
- Insight into the soil bacterial community succession ofFrontiers in microbiology · 2024Article
- Microbial interactions and metabolisms in response to bacterial wilt and black shank pathogens in the tobacco rhizosphere.Frontiers in plant science · 2023Article
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Authors and funding
12 authors.
Funding
Abstract
Tobacco bacterial wilt has seriously affected tobacco production. Ethyl methanesulfonate (EMS) induced tobacco bacterial wilt resistant mutants are important for the control of tobacco bacterial wilt. High-throughput sequencing technology was used to study the rhizosphere bacterial community assemblages of bacterial wilt resistant mutant tobacco rhizosphere soil (namely KS), bacterial wilt susceptible tobacco rhizosphere soil (namely GS) and bulk soil (namely BS) in Xuancheng, Huanxi, Yibin and Luzhou. Alpha analysis showed that the bacterial community diversity and richness of KS and GS in the four regions were not significantly different. However, analysis of intergroup variation in the top 15 bacterial communities in terms of abundance showed that the bacterial communities of KS and GS were significantly different from BS, respectively. In addition, pH, alkali-hydrolysable nitrogen (AN) and soil organic carbon (SOC) were positively correlated with the bacterial community of KS and negatively correlated with GS in the other three regions except Huanxi. Network analysis showed that the three soils in the four regions did not show a consistent pattern of network complexity. PICRUSt functional prediction analysis showed that the COG functions were similar in all samples. All colonies were involved in RNA processing and modification, chromatin structure and dynamics, etc. In conclusion, our experiments showed that rhizosphere bacterial communities of tobacco in different regions have different compositional patterns, which are strongly related to soil factors.
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