| 代谢组学揭示水稻—稻瘿蚊互作的潜在生化标识物 |
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| 引用本文： | 陈灿,张宗琼,夏秀忠,杨行海,农保选,张晓丽,徐志健,李丹婷,郭辉,冯锐.代谢组学揭示水稻—稻瘿蚊互作的潜在生化标识物[J].南方农业学报,2021,52(10):2662-2670. |
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| 作者姓名： | 陈灿 张宗琼 夏秀忠 杨行海 农保选 张晓丽 徐志健 李丹婷 郭辉 冯锐 |
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| 作者单位： | 广西农业科学院水稻研究所/广西水稻遗传育种重点实验室, 南宁 530007 |
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| 基金项目： | 国家自然科学基金地区科学基金项目（31560385）；广西科技计划项目（桂科AB16380138，桂科AD18281067）；广西自然科学基金项目（2018GXNSFAA138015） |
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| 摘 要： | 【目的】筛选稻瘿蚊（RGM）侵染下抗、感水稻材料差异代谢物，揭示水稻抗虫靶标化合物，为解析植物与昆虫互作关系及水稻害虫绿色防控提供理论依据。【方法】分别对抗RGM水稻材料GXM-001-2和易感RGM水稻材料TN1进行RGM接虫胁迫，接虫后48 h利用液相色谱—质谱联用仪（LC-MS）对RGM侵染及未侵染抗、感水稻材料的代谢物进行化学成分分析。【结果】RGM侵染下抗、感水稻材料的差异代谢物分析显示，LC-MS共检测到330种代谢物，其中155种为已知代谢物；被RGM侵染后，GXM-001-2中上调代谢物种类远少于其下调代谢物种类，也远少于TN1中的上调代谢物种类。RGM侵染下水稻潜在生化标识物种类分析表明，差异代谢物分为抗性特性（n=16）、易感特性（n=16）、侵染特性（n=7）和宿主特性（n=3）等4类。生化标识物及差异倍数分析表明，抗性特性物包括1-氨基环丙烷羧酸、3-磷酸甘油酸和二十烷酸等物质，其中6-甲基维生素D、谷氨酸、叶绿醇和酪氨酸等物质上调表达；易感特性物包括2-己酮酸、3-苯基乳酸和6-羟基己酸等物质，其中6-羟基己酸、葡萄糖和白皮杉醇等7种物质下调表达；侵染特性物包括γ-氨基丁酸、半乳糖酸和丙醇二酸等物质，其中腺嘌呤、尿苷、丙醇二酸和γ-氨基丁酸在抗、感材料中变化趋势一致；宿主特性物包括异亮氨酸、十六烷酸和环亮氨酸，前2种物质在GXM-001-2中显著高于TN1（P<0.05）。【结论】RGM侵染后从抗、感水稻材料中筛选到抗性特性物、易感特性物、侵染特性物和宿主特性物，其中脂肪酸及其衍生物（十六烷酸、二十烷酸、十四烷酸和β-羟基十四烷酸）、氨基酸（谷氨酸、酪氨酸、苯丙氨酸和γ-氨基丁酸）、酚类（阿魏酸）、萜类（叶绿醇）和胺类（乙酰苯胺、苄胺和乳酰胺）可能在植物抗虫防御反应中发挥重要作用，是RGM侵染水稻最重要的潜在生化标识物。
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| 关 键 词： | 水稻 稻瘿蚊 代谢组 生化标识物 抗虫 |
| 收稿时间： | 2021-04-05 |
Metabolomics reveals potential biomarkers of rice gall midge (Orseolia oryzae)interactions |
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| CHEN Can,ZHANG Zong-qiong,XIA Xiu-zhong,YANG Xing-hai,NONG Bao-xuan,ZHANG Xiao-li,XU Zhi-jian,LI Dan-ting,GUO Hui,FENG Rui.Metabolomics reveals potential biomarkers of rice gall midge (Orseolia oryzae)interactions[J].Journal of Southern Agriculture,2021,52(10):2662-2670. |
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| Authors: | CHEN Can ZHANG Zong-qiong XIA Xiu-zhong YANG Xing-hai NONG Bao-xuan ZHANG Xiao-li XU Zhi-jian LI Dan-ting GUO Hui FENG Rui |
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| Affiliation: | Rice Research Institute, Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Nanning 530007, China |
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| Abstract: | 【Objective】To detect differential levels of metabolites between rice gall midge(RGM) -resistant and -susceptible rice materials to provide a theoretical basis for analyzing rice-RGM interaction and assist in the development of green controls of RGM in rice.【Method】GXM-001-2(high resistance) and TN1(high susceptibility) were inoculated with RGM and liquid chromatography-mass spectrometry was employed to detect changes in metabolite levels after 48 h.【Result】330 metabolites were detected, of which 155 were known metabolites. TN1 displayed a much higher number of up-regulated metabolites after RGM infection than in GXM-001-2, where metabolites were largely down-regulated. The analysis of potential biochemical markers of rice infected by RGM showed that differentially regulated metabolites could be classified into four categories associated with resistance(n=16), susceptibility(n=16), infection(n=7) and host characteristics(n=3). Biochemical markers and fold change analysis showed that the resistance category included 1-aminocy-clopropanicarboxylic acid, 3-phosphoglyceric acid, eicosanoic acid, 6-methylvitamin D, glutamic acid, phyllol and tyrosine of which, the latter 4 were upregulated. Compounds associated with susceptibility included 2-hexketoic acid, 3-phenyllactic acid, 6-hydroxy hexanoic acid and other substances, of which 7 substances, including 6-hydroxy hexanoic acid, glucose and piceatannol, were downregulated. The characteristic compounds of infection included 4-aminobutyric acid, galactoic acid, propanedioic acid and adenine, uridine, propanedioic acid, and γ-aminobutyric acid showed similar up or down trends in GXM-001-2 and TN1. The host characteristic substances consisted of isoleucine, hexadecanoic acid and cycloleucine, with the former two substances at significantly higher levels in GXM-001-2 relative to TN1(P<0.05).【Conclusion】Under rice RGM condition, 16, 16, 7 and 3 metabolites associated with resistance, susceptibility, infection and host characteristics, respectively, were selected. Of these, fatty acids and their derivatives(hexadecanoic acid, eicosanoic acid, tetradecanoic acid and β-hydroxytetradecanoic acid), amino acids(glutamic acid, tyrosine, phenylalanine and g-aminobutyric acid), phenolic acids(ferulic acid), terpenoids(phyllol) and amines(acetanilide, benzylamine and lactamide) are the most important potential biomarkers of RGM infection, which could play important roles in plant insect defense responses. |
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