Collaborative Research: Genes to ecology in tropical trees: how sharing resistance gene alleles affects pathogen transmission and growth
Collaborative Research: Genes to ecology in tropical trees: how sharing resistance gene alleles affects pathogen transmission and growth
批准号:
2039487
负责人:
Stuart Wright
金额:
$45.9万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-05-01 至 2025-04-30
中文摘要
该项目研究了相邻树木之间与病原体抗性相关的基因的共享变体如何影响它们对病原性土壤微生物感染的易感性或抗性,以及这如何影响它们在实验室和森林环境中的生长。这项研究还将确定抗性基因的变异是否会影响与树根相关的有益和致病微生物群落。这将对预测个体树的成功具有重要影响,这取决于其与具有相同和不同病原体抗性基因变体的个体的接近程度。 这些知识对森林生态学具有重要意义,并将为具有良好病原体抗性基因型的所有类型的植物物种的最佳种植安排提供新的见解。研究结果还将为研究宿主抗性基因多样性的物种差异如何影响整个森林群落的模型提供信息。该项目将为农业方法提供信息,并通过为年轻科学家提供新的概念、工具、假设、结果、培训和专业发展机会,促进林地长期生态研究的可持续性。该项目将培训博士后学者,并与史密森尼热带研究所的年轻科学家接触,指导他们如何将生理学和功能基因组学纳入生态研究。携带一种特定抗性(R)基因等位基因的Virola surinamensis幼苗在暴露于缺乏该等位基因的成熟树木土壤时,生长速度提高20%,但当暴露于来自携带相同等位基因的成熟树木的土壤时,没有优势,其上调参与宿主防御的基因的能力存在相关差异。该项目将研究根转录组,根微生物组,病原微生物的培养,以及病原体通过在托盘中一起生长的幼苗的不同空间网络的传播如何受到R基因等位基因共享背景的影响。免费的田间实验将检查在森林中不同等位基因共享环境中种植的成对幼苗的表现。免费监测研究将检查标记Virola surinamensis树苗和成熟树木的基因型和长期生长率的长期地块上的巴罗科罗拉多岛(BCI)和附近的大陆网站在巴拿马。这些结果将提供重要的新见解的方式遗传变异影响植物防御,植物-微生物相互作用,以及迄今为止机械模糊的概念,如植物-土壤反馈和负密度依赖,越来越多的森林动态和树木物种多样性的维护理论模型的重点。一个首要的特点是功能基因组学与长期生态研究数据的整合。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
英文摘要
This project examines how sharing variants of genes associated with resistance to pathogens among neighboring trees affects their susceptibility or resistance to infection by pathogenic soil microbes, and how this affects their growth in lab and forest settings. This research will also determine if variation in resistance genes impacts the beneficial as well as pathogenic microbial communities associated with tree roots. This will have important consequences for predicting the success of an individual tree depending on its proximity to individuals with the same and different variants of pathogen resistance genes. This knowledge has important implications for forest ecology and will provide new insights about the best planting arrangements for all types of plant species that have well characterized pathogen resistance genotypes. The results will also inform models that examine how species differences in the diversity of host resistance genes affect an entire forest community. The project will inform agricultural methods and contribute to sustainability of long-term ecological research in forest plots by providing new concepts, tools, hypotheses, results, training, and professional development opportunities for young scientists. The project will train post-doctoral scholars and reach out to young scientists working at Smithsonian Tropical Research Institute to mentor them on ways to include physiology and functional genomics in ecologicalStudies.Seedlings of Virola surinamensis carrying one particular resistance (R) gene allele have 20% greater growth rate when exposed to soil from mature trees lacking that allele, but no advantage when exposed to soil from mature trees carrying the same allele, with associated differences in their ability to upregulate genes involved in host defense. This project will examine how root transcriptomes, root microbiomes, cultures of pathogenic microbes, and transmission of a pathogen through different spatial networks of seedlings growing together in trays are affected by the R gene allele sharing context. Complimentary field experiments will examine performance of paired seedlings planted in different allele-sharing contexts in the forest. Complimentary monitoring studies will examine genotypes and long-term growth rates of tagged Virola surinamensis saplings and mature trees on long-term plots on Barro Colorado Island (BCI) and nearby mainland sites in Panama. The results will provide important new insights about the way genetic variation affects plant defense, plant-microbe interactions, and heretofore mechanistically vague concepts such as plant-soil feedbacks and negative density dependence that are increasingly the focus of theoretical models of forest dynamics and the maintenance of tree species diversity. An overarching feature is integration of functional genomics with data from a long-term ecological study.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.
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