PhytoBacExplorer: A Phylogenomic Resource for the Phytobacterial Community
PhytoBacExplorer:植物细菌群落的系统基因组资源
基本信息
- 批准号:BB/W019183/1
- 负责人:
- 金额:$ 59.06万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Bacteria that infect plants are diverse and can be transmitted via air, water, and soil, or via vectors (the organisms that carry them) like insects or nematodes. When introduced to new areas their spread is often highly invasive. Bacteria are difficult to control with chemicals and frequently able to infect a large number of plant hosts. They have the potential to cause widespread and severe economic, environmental and social impacts on landscapes and ecosystems, both rural and urban.These phytobacteria can evolve rapidly, and as is evident from recent outbreaks, the UK economy and environment are continually threatened by emerging strains that infest or infect our food crops, forests, gardens, parks and nurseries. This is further aggravated by climate change and greater movement of potentially contaminated plant materials by trade. Ideally, we should be proactive and identify new variants posing risks early and take measures to limit their spread. However, our ability to do so is currently limited.For bacteria that infect humans, the medical community has benefited immensely from EnteroBase, a computational system for processing and analysis of bacterial DNA sequences. It is used by labs around the world to promptly identify the causes of outbreaks, track multi-country outbreaks, inform prompt public health decision making and subsequent recall of contaminated products in increasingly global food chains. We will use the EnteroBase platform to develop "PhytoBacExplorer", a new system dedicated to plant bacteria.PhytoBacExplorer will initially target genome sequencing for 5 of the top-6 plant bacterial pathogens, and develop connections to feed in related data from other sources. We will provide curation to ensure rich, consistent, and high-quality data including geographic information, host ranges, and genes underlying pathogenicity. The system will inherit many useful features from EnteroBase, including processing of raw data, identification of the shared "core" genome in a population, identification of the phylogenetic (ancestry) tree based on core genomes, and powerful interactive visualisations. We will add tools based on community user engagement including tools for evolutionary analyses of gene families, tools to detect functional differences between groups of strains and metagenomics capacity.Users can upload raw sequencing data for PhytoBacExplorer to process and integrate with the full data set. Users will learn whether their strains are new species or have been previously observed, and can identify their likely functional characteristics. This will enable monitoring of ongoing pathogen evolution, and significantly reduce time spend on data processing tasks.Users will have input into the development of the system: there will be a monthly opportunity to talk with the project team in an online meeting room, access online tutorials, and there will conference presentations. The project has a budget for sequencing to cover poorly represented interspecific clades. We will include further pathogenic bacteria and beneficial bacteria later in the project. The system will enable identification of DNA sequences specific to particular strains and enable faster development of more precise molecular tests. This will greatly facilitate regulatory bodies and Plant Health field officers in tracking new threats to the environment, and contribute to precision agriculture.PhytoBacExplorer will be designed for interoperability with future computational infrastructure. After the project, it will be continually supported by the University of Warwick via the Bioinformatics Research Technology Platform in terms of hardware and maintenance support. The system will continue to grow its databases automatically by daily scans of public databases and will play an important role in enabling early detection of emerging pathogens and thus upcoming threats to food security.
感染植物的细菌种类繁多,可以通过空气、水和土壤传播,也可以通过昆虫或线虫等媒介(携带它们的有机体)传播。当它们被引入新的地区时,它们的传播往往是高度侵入性的。细菌很难用化学物质控制,而且经常能够感染大量的植物寄主。它们有可能对乡村和城市的景观和生态系统造成广泛和严重的经济、环境和社会影响。这些植物细菌可以迅速进化,正如最近爆发的那样,英国经济和环境不断受到新出现的菌株的威胁,这些菌株感染或感染我们的粮食作物、森林、花园、公园和苗圃。气候变化和通过贸易更多地转移可能受到污染的植物材料,进一步加剧了这种情况。理想情况下,我们应该积极主动,及早识别造成风险的新变种,并采取措施限制其传播。然而,我们目前这样做的能力是有限的。对于感染人类的细菌,医学界从EnteroBase中受益匪浅,这是一个处理和分析细菌DNA序列的计算系统。世界各地的实验室使用它来迅速确定疫情爆发的原因,跟踪多个国家的疫情,为迅速做出公共卫生决策和随后召回日益增长的全球食物链中的受污染产品提供信息。我们将利用EnteroBase平台开发一个专门用于植物细菌的新系统--PhytoBacExplorer。PhytoBacExplorer最初将针对前6名植物细菌病原体中的5种进行基因组测序,并建立连接以提供来自其他来源的相关数据。我们将提供管理,以确保丰富、一致和高质量的数据,包括地理信息、宿主范围和致病基因。该系统将继承EnteroBase的许多有用功能,包括处理原始数据、识别种群中共享的“核心”基因组、基于核心基因组识别系统发育(祖先)树以及强大的交互可视化。我们将增加基于社区用户参与的工具,包括基因家族进化分析工具、检测菌株组之间功能差异的工具和元基因组学能力。用户可以上传原始测序数据,供PhytoBacExplorer处理并与完整的数据集集成。使用者将了解他们的菌株是新物种还是以前观察到的,并可以识别它们可能的功能特征。这将能够监测正在进行的病原体演变,并显著减少在数据处理任务上花费的时间。用户将对系统的开发有投入:每月将有机会在在线会议室与项目团队交谈,访问在线教程,并将有会议演示。该项目有一个用于排序的预算,以涵盖代表较差的种间支系。我们将在稍后的项目中包括更多的致病细菌和有益细菌。该系统将能够识别特定菌株的DNA序列,并能够更快地开发更精确的分子测试。这将极大地方便监管机构和植物健康现场官员跟踪对环境的新威胁,并为精准农业做出贡献。PhytoBacExplorer将设计为与未来的计算基础设施互操作性。项目完成后,华威大学将通过生物信息学研究技术平台在硬件和维护支持方面继续提供支持。该系统将继续通过每日扫描公共数据库来自动扩大其数据库,并将在及早发现新出现的病原体以及即将对粮食安全构成的威胁方面发挥重要作用。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
PhytoBacExplorer: A Phylogenomic Resource for the Phytobacterial Community
PhytoBacExplorer:植物细菌群落的系统基因组资源
- DOI:10.5281/zenodo.8330892
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Baxter L
- 通讯作者:Baxter L
{{
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 }}
Sascha Ott其他文献
Influence of acidaemia and hypoxaemia on CVVH haemocompatibility in a porcine model.
酸血症和低氧血症对猪模型 CVVH 血液相容性的影响。
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Janis R. Bedarf;M. Russ;Sascha Ott;Tobias Keckel;M. Kirschfink;J. Unger - 通讯作者:
J. Unger
Increased compensatory kidney workload results in cellular damage in a short time porcine model of mixed acidemia – Is acidemia a ‘first hit’ in acute kidney injury?
代偿性肾脏工作量增加会导致混合性酸血症猪短期模型中的细胞损伤——酸血症是急性肾损伤的“第一击”吗?
- DOI:
10.1371/journal.pone.0218308 - 发表时间:
2019 - 期刊:
- 影响因子:3.7
- 作者:
M. Russ;Sascha Ott;Janis R. Bedarf;M. Kirschfink;B. Hiebl;J. Unger - 通讯作者:
J. Unger
Proliferative potential of human kidney endothelial cells : bone marrow-derived cells may not be required for high proliferation
人肾内皮细胞的增殖潜力:高增殖可能不需要骨髓来源的细胞
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Janis R. Bedarf;M. Russ;Sascha Ott;Tobias Keckel;M. Kirschfink;J. Unger - 通讯作者:
J. Unger
Entwicklungsansätze für innovative Hochdrehzahlkupplung in E‑Fahrzeugen
- DOI:
10.1007/s10010-019-00306-z - 发表时间:
2019-03-22 - 期刊:
- 影响因子:1.000
- 作者:
Hüseyin Gürbüz;Sascha Ott;Albert Albers - 通讯作者:
Albert Albers
Modellierung einer Einscheibentrockenkupplung mithilfe des C&C2-Ansatzes zur Identifikation von kritischen Gestalt-Funktion-Zusammenhängen bezüglich des Schwingungsphänomens zwangserregtes Kupplungsrupfen
- DOI:
10.1007/s10010-021-00560-0 - 发表时间:
2021-11-23 - 期刊:
- 影响因子:1.000
- 作者:
Peter M. Tröster;Thomas Klotz;Simon Rapp;Holger Wessels;Sascha Ott;Albert Albers - 通讯作者:
Albert Albers
Sascha Ott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 }}
相似海外基金
Ecological and phylogenomic insights into infectious diseases in animals
对动物传染病的生态学和系统发育学见解
- 批准号:
DE240100388 - 财政年份:2024
- 资助金额:
$ 59.06万 - 项目类别:
Discovery Early Career Researcher Award
Principled phylogenomic analysis without gene tree estimation
无需基因树估计的有原则的系统发育分析
- 批准号:
2308495 - 财政年份:2023
- 资助金额:
$ 59.06万 - 项目类别:
Standard Grant
A phylogenomic approach to reveal the explosive adaptive radiation of wood Sonchus in Canaries
用系统发育学方法揭示加那利群岛木桑属植物的爆炸性适应性辐射
- 批准号:
22KF0187 - 财政年份:2023
- 资助金额:
$ 59.06万 - 项目类别:
Grant-in-Aid for JSPS Fellows
Phylogenomic mechanisms of trait evolution and resilience to disease
性状进化和疾病恢复力的系统发育机制
- 批准号:
10713885 - 财政年份:2023
- 资助金额:
$ 59.06万 - 项目类别:
Phylogenomic approaches to understanding the phylogeny and early evolution of eukaryotes
了解真核生物的系统发育和早期进化的系统基因组学方法
- 批准号:
RGPIN-2022-05430 - 财政年份:2022
- 资助金额:
$ 59.06万 - 项目类别:
Discovery Grants Program - Individual
Collaborative Research: RUI: A Phylogenomic Study of a Hyper-Diverse Flowering Plant Lineage, Subfamily Lamioideae (Lamiaceae)
合作研究:RUI:唇形亚科(唇形科)超多样化开花植物谱系的系统基因组研究
- 批准号:
2139310 - 财政年份:2022
- 资助金额:
$ 59.06万 - 项目类别:
Standard Grant
Understanding the Co-Evolution of Phylogenomic Signal, Gene Linkage, and Recombination Rate Through Comparative Genomics
通过比较基因组学了解系统发育信号、基因连锁和重组率的共同进化
- 批准号:
2150664 - 财政年份:2022
- 资助金额:
$ 59.06万 - 项目类别:
Standard Grant
PhytoBacExplorer: A Phylogenomic Resource for the Phytobacterial Community
PhytoBacExplorer:植物细菌群落的系统基因组资源
- 批准号:
BB/W018853/1 - 财政年份:2022
- 资助金额:
$ 59.06万 - 项目类别:
Research Grant
Collaborative Research: A Phylogenomic Study of a Hyper-Diverse Flowering Plant Lineage, Subfamily Lamioideae (Lamiaceae)
合作研究:唇形科亚科超多样化开花植物谱系的系统基因组研究
- 批准号:
2139311 - 财政年份:2022
- 资助金额:
$ 59.06万 - 项目类别:
Standard Grant
Phylogenomic approaches to inferring ancient relationships among eukaryotes
推断真核生物之间古代关系的系统基因组学方法
- 批准号:
RGPIN-2016-06792 - 财政年份:2021
- 资助金额:
$ 59.06万 - 项目类别:
Discovery Grants Program - Individual