Interactive networks between plants and insect herbivores through defense chemicals in the leaves

植物和食草昆虫通过叶子中的防御化学物质之间的互动网络

• 批准号: 23780167
• 负责人: TAKAHASHI Akiko
• 金额: $ 2.41万
• 依托单位: Kyoto University (2012-2013)Tokyo Metropolitan University (2011)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2011
• 资助国家: 日本
• 起止时间: 2011 至 2013
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23780167/
• 关键词: 生物間相互作用; 誘導防御; 被食防御; フェノール; ブナ科; 植食者; 摂食; 非破壊成分分析; 近赤外分光法（NIRS）; 被食防御物質; 二次代謝物質; 植食性昆虫; 採食; 相互作用ネットワーク

To examine changes of defense level and the extent in induced defense in leaves according to feeding by insect herbivores, I developed nondestructive models for estimating total phenol content in leaves with near infrared spectroscopy. I modeled relationship between absorbance spectra of Quercus serrata, Q. myrsinaefolia, and Q. glauca leaves and total phenol content by partial least squares regression, and obtained the best calibration models of each species based on the standard errors of predictions. Then I carried out feeding experiment by herbivores with Q. serrata and Q. glauca, and their models. It showed a tendency that the content of total phenols increased in the treated shoots and ones which grew on upper position of the treated ones, while this result should be examined again because of the large confidential interval in values estimated with the calibration models.

为了检查叶子防御水平的变化以及昆虫食草动物摄食引起的防御程度，我开发了用近红外光谱法估算叶子中总酚含量的无损模型。我通过偏最小二乘回归对锯齿栎、香栎和青栎叶子的吸收光谱与总酚含量之间的关系进行了建模，并根据预测的标准误差获得了每个物种的最佳校准模型。然后对锯缘栎和青栎及其模型进行了草食动物的饲养实验。结果表明，处理过的枝条和生长在处理过的枝条上方的枝条中总酚含量有增加的趋势，但由于校准模型估计值的可信区间较大，因此该结果应再次检验。

项目成果

京都大学野生動物研究センター 高橋明子

京都大学野生动物研究中心高桥明子

ブナ科樹種の葉における非破壊成分推定法

壳斗科树种叶片无损成分估计方法

• 发表时间: 2013
• 作者: Tsuji Y.;Fujita S.;Sugiura H.;Nakagawa N;磯田圭哉・亀井幹夫・吉岡寿・石井哲・片桐智之・岩泉正和・松永孝治;小口浩史，浅田隆志;高橋明子
• 通讯作者: 高橋明子