Title |
Root exudates drive the soil-borne legacy of aboveground pathogen infection
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Published in |
Microbiome, September 2018
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DOI | 10.1186/s40168-018-0537-x |
Pubmed ID | |
Authors |
Jun Yuan, Jun Zhao, Tao Wen, Mengli Zhao, Rong Li, Pim Goossens, Qiwei Huang, Yang Bai, Jorge M. Vivanco, George A. Kowalchuk, Roeland L. Berendsen, Qirong Shen |
Abstract |
Plants are capable of building up beneficial rhizosphere communities as is evidenced by disease-suppressive soils. However, it is not known how and why soil bacterial communities are impacted by plant exposure to foliar pathogens and if such responses might improve plant performance in the presence of the pathogen. Here, we conditioned soil by growing multiple generations (five) of Arabidopsis thaliana inoculated aboveground with Pseudomonas syringae pv tomato (Pst) in the same soil. We then examined rhizosphere communities and plant performance in a subsequent generation (sixth) grown in pathogen-conditioned versus control-conditioned soil. Moreover, we assessed the role of altered root exudation profiles in shaping the root microbiome of infected plants. Plants grown in conditioned soil showed increased levels of jasmonic acid and improved disease resistance. Illumina Miseq 16S rRNA gene tag sequencing revealed that both rhizosphere and bulk soil bacterial communities were altered by Pst infection. Infected plants exhibited significantly higher exudation of amino acids, nucleotides, and long-chain organic acids (LCOAs) (C > 6) and lower exudation levels for sugars, alcohols, and short-chain organic acids (SCOAs) (C ≤ 6). Interestingly, addition of exogenous amino acids and LCOA also elicited a disease-suppressive response. Collectively, our data suggest that plants can recruit beneficial rhizosphere communities via modification of plant exudation patterns in response to exposure to aboveground pathogens to the benefit of subsequent plant generations. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 13% |
United States | 1 | 7% |
United Kingdom | 1 | 7% |
Taiwan | 1 | 7% |
Spain | 1 | 7% |
Japan | 1 | 7% |
South Africa | 1 | 7% |
Slovenia | 1 | 7% |
Unknown | 6 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 53% |
Scientists | 7 | 47% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 376 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 75 | 20% |
Researcher | 53 | 14% |
Student > Master | 45 | 12% |
Student > Bachelor | 26 | 7% |
Student > Doctoral Student | 16 | 4% |
Other | 43 | 11% |
Unknown | 118 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 155 | 41% |
Biochemistry, Genetics and Molecular Biology | 40 | 11% |
Environmental Science | 22 | 6% |
Business, Management and Accounting | 5 | 1% |
Medicine and Dentistry | 5 | 1% |
Other | 23 | 6% |
Unknown | 126 | 34% |