Community Annotation Database for Magnaporthe grisea and its Interactions with Rice
稻瘟菌及其与水稻相互作用的群落注释数据库
基本信息
- 批准号:0627159
- 负责人:
- 金额:$ 52.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-12-01 至 2010-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The fungus Magnaporthe grisea causes the rice blast disease and is a leading constraint to rice production. A better understanding of the molecular response of rice to M. grisea would provide new opportunities to engineer more durable resistant rice cultivars. There are multiple significant reasons why M. grisea has emerged as a model system for elucidating the molecular mechanism governing plant-fungal interactions. M. grisea not only kills rice throughout the world, but some strains attack other major cereals and grasses. The mode of infection is fundamentally similar to many fungal pathogens, and is easier to study then many fungi such as mildews and rust since it can be cultured on defined media so that early stages of the infection process can be studied ex planta. Furthermore, the genomic sequence is available for both rice and M. grisea. This grant will open the MGOS database (www.mgosdb.org) to the community for annotation of genes, submission of microarray data, and incorporation of other relevant rice-M.grisea data. Towards this end, the interface and database will be upgraded to provide tools for submission and enhanced integration of data. The MGOS staff will curate the publicly annotated genes to ensure integrity and interact with the rice-M.grisea community to encourage involvement. The MGOS web-based database with curated genes and supporting evidence will provide an excellent resource to all researchers of host-pathogen interactions. MGOS is being designed for easy exploration of the information, so it provides an excellent medium for the study of rice-M.grisea interactions by both researchers and students. In order to capitalize on this public resource for the benefit of high school students, extensive tutorials on the interactions of rice and M. grisea will be made available from MGOS. The University of Arizona has a highly recognized program called "Teacher Internships in Plant Genomics Program" (TIPG) which is designed to provide pre-service and in-service biology teachers with university-based lab experience in plant genomics. A one-day workshop for the TIPG teachers will be held to disseminate the instructional material and to elicit advice on how to make the instructions exciting to high school students.
真菌稻瘟菌(Magnaporthe grisea)引起稻瘟病,是水稻生产的主要限制因素。为了更好地了解水稻对M.稻瘟病菌将为设计更持久的抗性水稻品种提供新的机会。有很多重要的原因,为什么M。稻瘟病菌已成为阐明植物-真菌相互作用的分子机制的模型系统。M.稻瘟病菌不仅在全世界范围内杀死水稻,而且一些菌株还攻击其他主要谷物和草。感染模式基本上类似于许多真菌病原体,并且比许多真菌如霉菌和锈病更容易研究,因为它可以在限定培养基上培养,以便可以在植物外研究感染过程的早期阶段。此外,水稻和M.稻瘟病菌该基金将向社区开放MGOS数据库(www.mgosdb.org),用于基因注释、提交微阵列数据以及合并其他相关的水稻-稻瘟病菌数据。为此,将升级界面和数据库,以提供提交数据和加强数据整合的工具。MGOS的工作人员将管理公开注释的基因,以确保完整性,并与水稻-稻瘟病菌社区互动,以鼓励参与。 MGOS基于网络的数据库与策划的基因和支持证据将提供一个很好的资源,所有研究人员的宿主-病原体相互作用。MGOS的设计是为了便于信息的探索,因此它为研究人员和学生研究水稻-稻瘟病菌相互作用提供了一个很好的媒介。为了充分利用这一公共资源,为高中学生的利益,广泛的教程的相互作用的水稻和M。将从MGOS获得稻瘟病菌。亚利桑那大学有一个高度认可的计划,称为“植物基因组学计划教师实习”(TIPG),旨在为职前和在职生物学教师提供植物基因组学的大学实验室经验。 将为TIPG教师举办一个为期一天的讲习班,以传播教学材料,并就如何使高中学生对教学感到兴奋征求意见。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Carol Soderlund其他文献
A high-density YAC contig map of human chromosome 22.
人类 22 号染色体的高密度 YAC 重叠群图。
- DOI:
- 发表时间:
1995 - 期刊:
- 影响因子:64.8
- 作者:
John E. Collins;Charlotte G. Cole;Luc J. Smink;C. Garrett;Margaret A. Leversha;Carol Soderlund;G. Maslen;Everett La;K. Rice;Alison J. Coffey - 通讯作者:
Alison J. Coffey
Carol Soderlund的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Carol Soderlund', 18)}}的其他基金
Techniques for Efficient Finishing and Physical Linkage of Gene-Enriched Shotgun Sequences
基因富集鸟枪序列的高效整理和物理连接技术
- 批准号:
0321724 - 财政年份:2003
- 资助金额:
$ 52.25万 - 项目类别:
Continuing Grant
Minimal Tiling Path Algorithms and New Contig Display for FPC
FPC 的最小平铺路径算法和新的重叠群显示
- 批准号:
0213764 - 财政年份:2002
- 资助金额:
$ 52.25万 - 项目类别:
Standard Grant
相似海外基金
CRII: SHF: Theoretical Foundations of Verifying Function Values and Reducing Annotation Overhead in Automatic Deductive Verification
CRII:SHF:自动演绎验证中验证函数值和减少注释开销的理论基础
- 批准号:
2348334 - 财政年份:2024
- 资助金额:
$ 52.25万 - 项目类别:
Standard Grant
ProtFunAI: AI based methods for functional annotation of proteins in crop genomes
ProtFunAI:基于人工智能的作物基因组蛋白质功能注释方法
- 批准号:
BB/Y514044/1 - 财政年份:2024
- 资助金额:
$ 52.25万 - 项目类别:
Research Grant
Improving accuracy, coverage, and sustainability of functional protein annotation in InterPro, Pfam and FunFam using Deep Learning methods PID 7012435
使用深度学习方法提高 InterPro、Pfam 和 FunFam 中功能蛋白注释的准确性、覆盖范围和可持续性 PID 7012435
- 批准号:
BB/X018563/1 - 财政年份:2024
- 资助金额:
$ 52.25万 - 项目类别:
Research Grant
Improving accuracy, coverage, and sustainability of functional protein annotation in InterPro, Pfam and FunFam using Deep Learning methods
使用深度学习方法提高 InterPro、Pfam 和 FunFam 中功能蛋白注释的准确性、覆盖范围和可持续性
- 批准号:
BB/X018660/1 - 财政年份:2024
- 资助金额:
$ 52.25万 - 项目类别:
Research Grant
Doctoral Dissertation Research: Discourse relation annotation in speech databases
博士论文研究:语音数据库中的话语关系标注
- 批准号:
2336603 - 财政年份:2024
- 资助金额:
$ 52.25万 - 项目类别:
Standard Grant
Prosodic Event Annotation and Detection in Three Varieties of English
三种英语韵律事件标注与检测
- 批准号:
2316030 - 财政年份:2023
- 资助金额:
$ 52.25万 - 项目类别:
Standard Grant
EAGER: Integrating Multi-Omics Biological Networks and Ontologies for lncRNA Function Annotation using Deep Learning
EAGER:使用深度学习集成多组学生物网络和本体以进行 lncRNA 功能注释
- 批准号:
2400785 - 财政年份:2023
- 资助金额:
$ 52.25万 - 项目类别:
Standard Grant
K-mer indexing for pan-genome reference annotation
用于泛基因组参考注释的 K-mer 索引
- 批准号:
10793082 - 财政年份:2023
- 资助金额:
$ 52.25万 - 项目类别:
Unsupervised Annotation of Complex 3D BioMedical Data.
复杂 3D 生物医学数据的无监督注释。
- 批准号:
2882348 - 财政年份:2023
- 资助金额:
$ 52.25万 - 项目类别:
Studentship
Connecting the universe of proteins to address annotation inequality in the microbial proteome
连接蛋白质领域以解决微生物蛋白质组中的注释不平等问题
- 批准号:
10658439 - 财政年份:2023
- 资助金额:
$ 52.25万 - 项目类别: