Chinese Bulletin of Botany ›› 2021, Vol. 56 ›› Issue (4): 422-432.DOI: 10.11983/CBB21031

• EXPERIMENTAL COMMUNICATIONS • Previous Articles     Next Articles

Clustering Analysis of Volatile Components from the Tea Plants Infested by Tea Aphid (Toxoptera aurantii)

Tingzhe Sun1†, Zehua Qi1†, Kexin Liang1, Qin Li1,2, Yuchun Rao2,*(), Dan Mu1,*()   

  1. 1School of Life Sciences, Anqing Normal University, Anqing 246133, China
    2School of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China
  • Received:2021-02-07 Accepted:2021-04-19 Online:2021-07-01 Published:2021-06-30
  • Contact: Yuchun Rao,Dan Mu
  • About author:First author contact:

    † These authors contributed equally to this paper

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.

Key words: tea plant volatiles, GC-MS, PLS-DA, tea aphid, clustering analysis