Title |
Transcriptomic and metabolomic analyses reveal that bacteria promote plant defense during infection of soybean cyst nematode in soybean
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Published in |
BMC Plant Biology, May 2018
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DOI | 10.1186/s12870-018-1302-9 |
Pubmed ID | |
Authors |
Wenshu Kang, Xiaofeng Zhu, Yuanyuan Wang, Lijie Chen, Yuxi Duan |
Abstract |
Soybean cyst nematode (SCN) is the most devastating pathogen of soybean. Our previous study showed that the plant growth-promoting rhizobacterium Bacillus simplex strain Sneb545 promotes soybean resistance to SCN. Here, we conducted a combined metabolomic and transcriptomic analysis to gain information regarding the biological mechanism of defence enhancement against SCN in Sneb545-treated soybean. To this end, we compared the transcriptome and metabolome of Sneb545-treated and non-treated soybeans under SCN infection. Transcriptomic analysis showed that 6792 gene transcripts were common in Sneb545-treated and non-treated soybeans. However, Sneb545-treated soybeans showed a higher concentration of various nematicidal metabolites, including 4-vinylphenol, methionine, piperine, and palmitic acid, than non-treated soybeans under SCN infection. Overall, our results validated and expanded the existing models regarding the co-regulation of gene expression and metabolites in plants, indicating the advantage of integrated system-oriented analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 86 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 18 | 21% |
Student > Master | 17 | 20% |
Researcher | 11 | 13% |
Student > Doctoral Student | 7 | 8% |
Student > Bachelor | 4 | 5% |
Other | 7 | 8% |
Unknown | 22 | 26% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 33 | 38% |
Biochemistry, Genetics and Molecular Biology | 19 | 22% |
Chemistry | 3 | 3% |
Nursing and Health Professions | 2 | 2% |
Environmental Science | 1 | 1% |
Other | 4 | 5% |
Unknown | 24 | 28% |