Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress.
Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress.
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水稻（Oryza sativa）对生物胁迫的拮抗、重叠和独特反应以及与非生物胁迫的相互作用
DOI：
10.1186/1471-2164-14-93
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发表时间：
2013-02-12
期刊：
影响因子：
4.4
通讯作者：
Whelan J
中科院分区：
文献类型：
--
作者：
Narsai R;Wang C;Chen J;Wu J;Shou H;Whelan J
背景每年，由于水稻中的细菌、真菌、寄生虫和病毒感染，全球都会发生大量农作物损失。在这里，我们深入研究了水稻抗性和易感品种对破坏性细菌病原体米黄单胞菌 (Xanthomonas oryzaepv.oryzae) 感染的转录组反应。还对水稻中的真菌、寄生虫和病毒感染进行了比较分析。结果在 Xoo 接种的 24 小时内，细胞壁成分显着减少，并诱导了多种信号成分、膜结合受体激酶以及特定的 WRKY 和 NAC 转录因子，这为如何发出该病原体的存在信号和启动响应提供了框架。对各种其他病原体反应的广泛比较分析，包括对另一种细菌（Xoc）感染、耐药性和易感性寄生虫感染、真菌和病毒感染的反应，提出了水稻生物胁迫反应的模型。通过这种方式，我们确定了针对所有生物胁迫的钙信号传导功能以及特定 WRKY 和 NAC 转录因子的保守诱导。比较这些对非生物胁迫（冷、干旱、盐、热）的反应，能够鉴定出仅对细菌感染敏感的独特基因、对非生物和生物胁迫敏感的240个基因以及对生物胁迫敏感但对非生物胁迫敏感的135个基因。通过基因失活或过度表达，许多这些基因的功能意义揭示了与应激相关的显着表型。虽然在生物胁迫和非生物胁迫之间只观察到一些拮抗反应，例如对于许多内切几丁质酶和激酶编码基因来说，其中一些可能对于解释非生物胁迫下更大的病原体感染和损害至关重要。结论本文提出的分析提供了对多种胁迫反应的全局视图，进一步验证了已知的抗性相关基因，并强调了新的潜在靶基因，一些水稻特有的谱系，它们在胁迫响应中发挥着重要作用，为开发对自然界中遇到的多种生物和非生物胁迫更具抵抗力的水稻品种提供了路线图。
BackgroundEvery year, substantial crop loss occurs globally, as a result of bacterial, fungal, parasite and viral infections in rice. Here, we present an in-depth investigation of the transcriptomic response to infection with the destructive bacterial pathogenXanthomonas oryzaepv.oryzae(Xoo)in both resistant and susceptible varieties ofOryza sativa. A comparative analysis to fungal, parasite and viral infection in rice is also presented.ResultsWithin 24 h ofXooinoculation, significant reduction of cell wall components and induction of several signalling components, membrane bound receptor kinases and specific WRKY and NAC transcription factors was prominent, providing a framework for how the presence of this pathogen was signalled and response mounted. Extensive comparative analyses of various other pathogen responses, including in response to infection with another bacterium (Xoc), resistant and susceptible parasite infection, fungal, and viral infections, led to a proposed model for the rice biotic stress response. In this way, a conserved induction of calcium signalling functions, and specific WRKY and NAC transcription factors, was identified in response to all biotic stresses. Comparison of these responses to abiotic stress (cold, drought, salt, heat), enabled the identification of unique genes responsive only to bacterial infection, 240 genes responsive to both abiotic and biotic stress, and 135 genes responsive to biotic, but not abiotic stresses. Functional significance of a number of these genes, using genetic inactivation or over-expression, has revealed significant stress-associated phenotypes. While only a few antagonistic responses were observed between biotic and abiotic stresses, e.g. for a number of endochitinases and kinase encoding genes, some of these may be crucial in explaining greater pathogen infection and damage under abiotic stresses.ConclusionsThe analyses presented here provides a global view of the responses to multiple stresses, further validates known resistance-associated genes, and highlights new potential target genes, some lineage specific to rice, that play important roles in response to stress, providing a roadmap to develop varieties of rice that are more resistant to multiple biotic and abiotic stresses, as encountered in nature.
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