Identification of the rice genes and metabolites involved in dual resistance against brown planthopper and rice blast fungus
Identification of the rice genes and metabolites involved in dual resistance against brown planthopper and rice blast fungus
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DOI：
10.1111/pce.14321
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发表时间：
2022-04-11
影响因子：
7.3
通讯作者：
Li, Haichao
中科院分区：
文献类型：
--
作者：
Chen, Su;Sun, Bo;Li, Haichao
褐飞虱和稻瘟病的联合或单独发生每年都造成很大的产量损失。为了确定基因和代谢产物对生物胁迫因素的双重抗性的潜在贡献，我们对BPH和稻瘟病侵染后的敏感和抗性水稻品种进行了转录组和代谢组学分析。共表达网络分析确定了一个模块模式，在BPH和稻瘟病（-0.81）处理后具有最高的相关系数（0.81）。在这一群体中共检测到134个苯丙烷类生物合成途径相关基因。我们发现黄烷酮3-羟化酶基因（OsF 3 H）在响应BPH和稻瘟病侵染时具有相反的表达趋势，而OsF 3 ' H具有相似的表达模式。遗传分析证实OsF 3 H基因敲除株系表现出对褐飞虱和稻瘟病相反的抗性表型，而OsF 3 ' H基因敲除株系增强了水稻对这两种害虫的抗性。因此，我们的代谢组学分析确定了代谢产物圣草酚，这两个基因的一个假定的必需产品，这是更高的积累在抗性品种的RHT比在感病品种MDJ。本研究为寻找更多对水稻抗多种生物胁迫具有潜在协同效应的基因和代谢产物提供了一个有效的策略。
Brown planthopper (BPH) and blast disease jointly or individually cause big yield losses every year. To identify genes and metabolites with potential contributions to the dual resistance against both biotic-stress factors, we carried out a transcriptome and metabolome analysis for susceptible and resistant rice varieties after BPH and rice blast infestations. Coexpression network analysis identified a modular pattern that had the highest correlation coefficients (0.81) after the BPH and rice blast (-0.81) treatments. In total, 134 phenylpropanoid biosynthesis pathway-related genes were detected in this group. We found that the flavanone 3-hydroxylase gene (OsF3H) had opposite expression trends in response to BPH and rice blast infestations whereas the OsF3 ' H had similar expression patterns. Genetics analysis confirmed that the OsF3H gene knockdown lines demonstrated the opposite resistance phenotypes against BPH and rice blast, whereas the OsF3 ' H knockout lines enhanced rice resistance against both pests. Consistently, our metabolomics analysis identified the metabolite eriodictyol, one putative essential product of these two genes, that was more highly accumulated in the resistant rice variety of RHT than in the susceptible variety MDJ. This study highlights a useful strategy for identifying more genes and metabolites that have potential synergistic effects on rice against to multiple biotic stresses.