<p>The tea aphid <i>Toxoptera aurantii</i> Boyer, is a devastating pest to the tea plant (<i>Camellia sinensis</i>). Tea plants can emit a broad spectrum of volatile organic compounds (VOCs), and patterns of volatile emission are significantly influenced by the type of herbivory. In current work, we examined how the overall profile of volatiles changes in response to varying levels of tea aphid infestation by multivariate and network analysis. Notable changes in multivariate volatile profiles were found upon tea aphid infestation. Multiple dimension reduction methods demonstrated that volatile emissions from tea plants underwent systemic changes in response to varying densities of tea aphid feeding. As infestation intensified, the Shannon entropy and the uniformity of volatile abundances were intricately adjusted, providing key insights into how the tea plant dynamically modulates the response against herbivore attack. The complexity of volatile network was obviously increased, accompanied by decreased modularity and enhanced positive associations. Our current work interprets volatile emission as an integrated system, exploring how the association patterns within the volatile network are intricately rewired in response to varying levels of tea aphid infestation. The combinatorial application of multivariate methods and network analyses offers a novel perspective for studying tea plant volatiles, enhancing our understanding of their roles in tea plant response against tea aphid feeding.</p>

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Exploring volatile patterns in tea plants under varying intensities of tea aphid infestation using multivariate analysis

  • Tingzhe Sun,
  • Hui Wang,
  • Xinyi Hu,
  • Sunhao Wu,
  • Xingyu Jia,
  • Jiaqi Yang,
  • Yaru Bai,
  • Luyao Tang,
  • Huaguang Qin,
  • Yuchun Rao,
  • Dan Mu

摘要

The tea aphid Toxoptera aurantii Boyer, is a devastating pest to the tea plant (Camellia sinensis). Tea plants can emit a broad spectrum of volatile organic compounds (VOCs), and patterns of volatile emission are significantly influenced by the type of herbivory. In current work, we examined how the overall profile of volatiles changes in response to varying levels of tea aphid infestation by multivariate and network analysis. Notable changes in multivariate volatile profiles were found upon tea aphid infestation. Multiple dimension reduction methods demonstrated that volatile emissions from tea plants underwent systemic changes in response to varying densities of tea aphid feeding. As infestation intensified, the Shannon entropy and the uniformity of volatile abundances were intricately adjusted, providing key insights into how the tea plant dynamically modulates the response against herbivore attack. The complexity of volatile network was obviously increased, accompanied by decreased modularity and enhanced positive associations. Our current work interprets volatile emission as an integrated system, exploring how the association patterns within the volatile network are intricately rewired in response to varying levels of tea aphid infestation. The combinatorial application of multivariate methods and network analyses offers a novel perspective for studying tea plant volatiles, enhancing our understanding of their roles in tea plant response against tea aphid feeding.