基于代谢组学分析青枯病烟田土壤代谢标志物

  目的  分析青枯病烟田和健康烟田土壤代谢物组成的差异，筛选青枯病烟田土壤代谢标志物。  方法  以青枯病烟田和健康烟田的烟株根围土壤为研究对象，采用非靶向代谢组学LC-MS/MS分析技术，对3个时期（未发病、发病中期、发病后期）土壤代谢物组成进行研究。  结果  （1）在未发病时、发病中期和发病后期，青枯病烟田和健康烟田土壤代谢物有显著差异的代谢物分别为115种、159种和105种。（2）3个时期共同差异代谢物有63种，其中正离子模式代谢物有49种，负离子模式代谢物有14种。49种正离子模式代谢物可以聚为2个大类和7个小类。（3）筛选出8种代谢标志物，分别为环巴胺（Cyclopamine）、麦芽四糖（Maltotetraose）、麦黄酮（Tricine）、凯林（Khellin）、6-(alpha-D-glucosaminyl)-1D-myo-inositol、茄啶（Solanidine）、贝磷地尔（belfosdil）、硅雄酮（Silandrone）。  结论  青枯病烟田和健康烟田土壤代谢物组成上存在较大差异，筛选出8种代谢标志物可为判别土壤感烟草青枯病状况提供一定参考。 

Analysis of metabolic markers in soil with tobacco bacterial wilt based on metabolomics

  Objective  This study aims to analyze difference of soil metabolites composition between healthy tobacco field and field with bacterial wilt, and screen metabolic markers.  Methods  By taking the rhizosphere soil of diseased plants and healthy plants as the research object and using LC-MS / MS analyzing technology of nontargeted metabonomics, the metabolites composition in rhizosphere soil in three periods was studied.  Results  (1) There were 115, 159 and 105 metabolites significantly different between healthy tobacco field and field with bacterial wilt at non-onset, middle onset and late onset stages, respectively. (2) There were 63 common differential metabolites in the three stages, including 49 positive and 14 negative metabolites. The 49 positive metabolites could b be clustered into two groups and seven subgroups. (3) A total of 8 metabolic markers were screened, including cyclopamine, maltotetraose, Tricine, khelin, 6 - (alpha-d- glucosaminyl) - 1D myo inositol, solanidine, belfosdil and silandrone.  Conclusion  There were significant different in the composition of rhizosphere soil metabolites between healthy and diseased tobacco plants. The 8 metabolic markers screened out could provide support for the identification of soil infection with tobacco bacterial wilt.