Research PGR: Co-transcriptome networks to identify conserved and lineage specific plant resistance against a generalist pathogen

研究 PGR：共转录组网络，用于识别保守的和谱系特异性的植物对通用病原体的抗性

• 批准号: 2020754
• 负责人: Daniel Kliebenstein
• 金额: $ 164.07万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2020754&HistoricalAwards=false
• 关键词: Research; PGR; Co; transcriptome; networks

To live and reproduce, any organism must prevent disease caused by pathogens like viruses, bacteria and fungi. Understanding the mechanisms controlling this battle between host and pathogens is necessary for understanding ecology and evolution and efforts to improve productivity in agricultural systems. These host-pathogens interactions span a wide range of systems from specialized where one host faces off with one pathogen to more general systems where a pathogen may attack a wide range of hosts. Most mechanistic knowledge is limited to the specialized systems and this project will work to deepen our knowledge of generalist host-pathogen systems. By using a fungal pathogen, Botrytis cinerea, that causes disease on nearly any plant, this project will test the diversity of plant defense mechanisms to a common attacker. Do plants defend themselves with a common defense system, novel individualized mechanisms or a blend of common and novel defense mechanisms? This information will improve our understanding of when evolution generates novel solutions versus slight tweaks to existing solutions to improve disease resistance. This knowledge can be used to understand how and when evolution of defense has occurred, improve crops resistance to disease and also help guide our efforts to engineer new biological systems. Theories of plant-pathogen interactions are molded by extensive research on host-specialist pathogen interactions controlled by lineage-specific large-effect genes. Those theories shape how plants are bred for disease resistance. However, large-effect models do not describe host-generalist pathogen interactions, dominated by numerous small to moderate effect genes distributed across diverse mechanisms. The polygenic nature of host-generalist interactions complicates the translation of any mechanistic insights from one host to another as mechanisms can be lineage specific or conserved. Identifying these conserved mechanisms will improve the ability translate mechanisms across species. This work will identify resistance mechanisms that are lineage specific versus conserved using a collection of the generalist pathogen Botrytis cinerea to measure lesion development across 16 dicot plant species representing eight rosid and asterid lineages. Incorporating a co-transcriptome approach, we will measure the host and pathogens transcriptome responses and identify conserved or lineage-specific regulatory networks. By developing rules to predict conserved and lineage-specific resistance mechanisms, this project will increase the ability to predictively translate scientific discoveries from one species to another. The identified conserved and lineage specific resistance mechanisms in Tomato, Lettuce and Arabidopsis will be validated for their influence on disease resistance via genome editing. This project will also provide an integrative introduction to STEM for first generation and transfer college students that are often overlooked in broader outreach efforts. They will be trained in modern quantitative analysis of gene networks to prepare them for future careers in industry or academics. This award was co-funded by the Plant Genome Research Program and the Plant Biotic Interactions Program in the Division of Integrative Organismal Systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

为了生存和繁殖，任何生物体都必须防止由病毒，细菌和真菌等病原体引起的疾病。了解控制宿主和病原体之间这场战斗的机制对于理解生态学和进化以及提高农业系统生产力的努力是必要的。这些宿主-病原体相互作用跨越了从一个宿主与一种病原体对抗的专门系统到病原体可能攻击广泛宿主的更一般系统的广泛系统。大多数机械知识仅限于专门的系统，本项目将致力于加深我们对通用宿主-病原体系统的了解。通过使用一种真菌病原体，灰葡萄孢，导致几乎任何植物的疾病，该项目将测试植物防御机制的多样性，以共同的攻击者。植物是用一个共同的防御系统、新颖的个性化机制还是共同和新颖的防御机制的混合来保护自己？这些信息将提高我们对进化何时产生新的解决方案的理解，而不是对现有解决方案进行轻微调整以提高抗病性。这些知识可以用来了解防御进化是如何以及何时发生的，提高作物对疾病的抵抗力，并帮助指导我们设计新的生物系统。植物-病原体相互作用的理论是通过对由谱系特异性大效应基因控制的宿主-专化病原体相互作用的广泛研究而形成的。这些理论塑造了植物如何培育抗病性。然而，大效应模型不描述宿主-通才病原体相互作用，其由分布在不同机制中的许多小到中等效应基因主导。宿主-通才相互作用的多基因性质使得从一个宿主到另一个宿主的任何机制见解的翻译复杂化，因为机制可以是谱系特异性的或保守的。 识别这些保守的机制将提高跨物种翻译机制的能力。这项工作将确定的抗性机制，是谱系特异性与保守的使用收集的通用病原体灰葡萄孢，以衡量病变的发展跨越16个双子叶植物物种代表8个蔷薇科和蔷薇科谱系。通过共转录组方法，我们将测量宿主和病原体的转录组反应，并确定保守或谱系特异性调控网络。通过制定规则来预测保守和谱系特异性抗性机制，该项目将提高预测性地将科学发现从一个物种转化为另一个物种的能力。将通过基因组编辑验证番茄、莴苣和拟南芥中鉴定的保守和谱系特异性抗性机制对抗病性的影响。该项目还将为第一代和转学大学生提供STEM的综合介绍，这些学生在更广泛的推广工作中经常被忽视。他们将接受基因网络现代定量分析的培训，为未来在工业或学术界的职业生涯做好准备。该奖项是由植物基因组研究计划和植物生物相互作用计划在综合有机体系统部门共同资助的。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。