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蚜害茶树挥发物组分变化的聚类分析
引用本文:孙廷哲,岂泽华,梁可欣,李沁,饶玉春,穆丹. 蚜害茶树挥发物组分变化的聚类分析[J]. 植物学报, 2021, 56(4): 422-432. DOI: 10.11983/CBB21031
作者姓名:孙廷哲  岂泽华  梁可欣  李沁  饶玉春  穆丹
作者单位:1安庆师范大学生命科学学院, 安庆 2461332浙江师范大学化学与生命科学学院, 金华 321004
基金项目:国家自然科学基金(31971185);国家自然科学基金(31800316);安徽省高校优秀青年人才支持计划(gxyqZD2020031);安徽省高校优秀青年人才支持计划(gxyq2018034);安徽省教育厅自然基金(KJ2017A359)
摘    要:舒茶早(Camellia sinensis cv. ‘shuchazao’)是皖西南产区一种茶树品种。为研究茶蚜取食为害诱导的茶树挥发物释放特征,运用气相色谱-质谱联用技术,比较了健康茶梢和蚜害茶梢的挥发物组成和相对含量。结果显示,健康茶梢挥发物种类(16种)和相对含量较少,而蚜害茶梢挥发物种类(24种)较为丰富且相对...

关 键 词:茶树挥发物  气相色谱-质谱联用技术  PLS-DA  茶蚜  聚类分析
收稿时间:2021-02-07

Clustering Analysis of Volatile Components from the Tea Plants Infested by Tea Aphid (Toxoptera aurantii)
Tingzhe Sun,Zehua Qi,Kexin Liang,Qin Li,Yuchun Rao,Dan Mu. Clustering Analysis of Volatile Components from the Tea Plants Infested by Tea Aphid (Toxoptera aurantii)[J]. Bulletin of Botany, 2021, 56(4): 422-432. DOI: 10.11983/CBB21031
Authors:Tingzhe Sun  Zehua Qi  Kexin Liang  Qin Li  Yuchun Rao  Dan Mu
Affiliation:1School of Life Sciences, Anqing Normal University, Anqing 246133, China2School of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China
Abstract:Shuchazao tea (Camellia sinensis cv. ‘shuchazao’) is a newly cultivated tea species in southwest Anhui, China. To investigate the volatile release profiles of tea aphid (Toxoptera aurantii) infested tea shoots, gas chromatography-mass spectrometry (GC-MS) analysis was used to compare the volatile compositions and relative contents in healthy and infested tea shoots. 16 volatile organic compounds (VOCs) were detected in healthy tea shoots with fewer relative contents, whereas more volatiles (24 VOCs) were released with increasing relative contents in tea plants induced by tea aphid feeding. Unsupervised clustering analysis based on the significantly different volatiles indicated that the volatile profiles in healthy and tea aphid infested tea shoots apparently showed clustering characteristics. A model was created by supervised partial least square discrimination analysis (PLS-DA) for volatiles with statistical significance. By experimental verification, the model could clearly discriminate healthy tea shoots from aphid infested ones (R2X=0.903, R2Y=0.875). By calculating the variable importance for the projection (VIP), seven important volatiles (α-pinene, longifolene-(V4), benaldehyde, E-5,9-undecadien-2-one,6,10-dimethyl-, 3-hexenal, camphor and decanal) were identified which collectively contribute to discrimination between healthy and infested tea shoots. The current work has preliminarily demonstrated the changing patterns in tea plant volatiles after tea aphid infestation to provide novel theoretical guidance for tea aphid management.
Keywords:tea plant volatiles  GC-MS  PLS-DA  tea aphid  clustering analysis  
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