Accession | PRJCA008428 | ||||||||||||
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Title | Tomato synthetic microbiota | ||||||||||||
Relevance | Agricultural | ||||||||||||
Data types |
Metagenome
Transcriptome or Gene expression Raw sequence reads |
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Organisms | plant metagenome | ||||||||||||
Description | In the current study, we investigated the role of the microbial rhizosphere community in the ability of tomato plant to resist FWD. We compared the FWD incidence rates and the microbial communities associated with tomato plants grown in the field and greenhouse environments. We found that the disease incidence rate was inversely correlated with microbial diversity, thereby raising the question about the impact of highly diverse microbial community on plant disease suppression. To address this, we undertook large-scale isolation and culture of rhizosphere bacteria and fungi from field-grown plants, for a comprehensive analysis of tomato-associated microbiota. We also constructed various SynComs, guided by in-depth sequencing analysis, and tested their ability to suppress FWD in germ-free tomato seedlings, their dynamic changes and community stability, and the underlying suppressive mechanisms by multi-omics approaches. The study provides novel insights into the prevention and control of tomato wilt and other soil-borne diseases, and constitutes a scientific basis for green and sustainable development of the tomato industry. | ||||||||||||
Sample scope | Environment | ||||||||||||
Release date | 2022-02-24 | ||||||||||||
Grants |
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Submitter | Xin Zhou (zhouxin5518@163.com) | ||||||||||||
Organization | Institute of Microbiology, Chinese Academy of Sciences | ||||||||||||
Submission date | 2022-02-24 |