Identifying limitations on microbial host jumps
确定微生物宿主跳跃的限制
基本信息
- 批准号:10715587
- 负责人:
- 金额:$ 38.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-01 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:AddressBacteriaDataEnvironmentEvolutionGeneticGenetic VariationGenomeGoalsHorizontal Gene TransferKnowledgeLeadMethodsMicrobeOrganismPopulationPseudomonasResearchSpecificitySystemVariantWorkbacterial geneticscomparative genomicscross-species transmissionfunctional genomicsgenome-wide analysishost-associated microbial communitiesimprovedmicrobial hostpathogenpathogenic bacteriapreventprograms
项目摘要
Of all the potential pathogens around us, we, like other multicellular species, can typically be infected by only a
small subset. However, when a microbe manages to break such host barriers, it can quickly spread through the
new host population. To predict when a pathogen will make a host jump, we need to understand what limits
pathogen adaptation to different host environments.
My research program focuses on investigating the factors that limit the adaptation of microbes to new host
environments. Specifically, I address this question from the perspective of an evolutionary geneticist and
microbiologist. I identify bacterial genetic mechanisms important for colonizing different hosts and use
comparative and functional genomics to understand how they evolve. Recent work from myself and others
demonstrated that both host genetics and the surrounding microbes influence the ability of a pathogen to move
between hosts. The relative importance of host genetics and surrounding organisms as well as interactions
between these factors are largely unknown. I recently developed a study system in the broad host range
bacterial genus Pseudomonas that lays the groundwork for studying what limits the adaptation of pathogens to
new hosts. My lab is now developing methods to identify genome-wide those loci in Pseudomonas important for
colonizing different host environments. We have also curated natural variation data for thousands of
Pseudomonas genomes collected from diverse hosts. Ongoing efforts are determining the associations between
Pseudomonas genetic variation and differences in pathogen specificity.
Over the next five years, the focus of my research program is to determine the relative importance of host
genetics and surrounding microbes in limiting Pseudomonas adaptation to new hosts. To address this question,
I will lead projects under three broad themes: (1) identify how surrounding microbes constrain evolution of
Pseudomonas to a new host (2) determine how the genetic requirements for colonization change across host
species (3) determine how horizontal gene transfer influences Pseudomonas adaptation to new hosts.
Together these three projects will contribute to our understanding of how host genetics and the surrounding
microbes influence Pseudomonas adaptation. I have selected these projects to start my lab because the question
of what limits bacterial adaptation is a question generalizable to all bacteria. The mechanisms we discover are
likely to be relevant to the study of other bacteria as many bacterial species share mechanisms of colonization,
and this work is also relevant more broadly to general questions about niche evolution. My long-term objective
is to use the knowledge gained from these studies to predict which microbes will undergo host jumps.
在我们周围的所有潜在病原体中,我们和其他多细胞物种一样,通常只能被一种
小子集然而,当一种微生物设法打破这种宿主屏障时,它可以迅速通过微生物传播。
新的宿主种群为了预测病原体何时会使宿主发生跳跃,我们需要了解
病原体适应不同的宿主环境。
我的研究项目集中于调查限制微生物适应新宿主的因素
环境.具体来说,我从进化遗传学家的角度来解决这个问题,
微生物学家我确定了细菌的遗传机制,重要的殖民不同的主机和使用
比较和功能基因组学来了解它们是如何进化的。我和其他人最近的工作
表明宿主遗传学和周围的微生物都会影响病原体的移动能力,
宿主之间。宿主遗传学和周围生物的相对重要性以及相互作用
这些因素之间的关系在很大程度上是未知的。我最近开发了一个学习系统,
细菌属假单胞菌,为研究限制病原体适应的因素奠定了基础,
新的宿主我的实验室现在正在开发方法,以确定全基因组的假单胞菌的重要基因座,
殖民于不同的宿主环境我们还策划了数千个自然变异数据,
从不同宿主收集的假单胞菌基因组。正在进行的努力正在确定
假单胞菌遗传变异与病原特异性差异。
在接下来的五年里,我的研究计划的重点是确定宿主的相对重要性,
遗传学和周围的微生物限制假单胞菌适应新的宿主。为了解决这个问题,
我将在三个广泛的主题下领导项目:(1)确定周围的微生物如何限制进化,
假单胞菌向新宿主的迁移(2)决定了定植的遗传要求如何在宿主间发生变化
物种(3)决定了水平基因转移如何影响假单胞菌适应新的宿主。
这三个项目将有助于我们了解宿主遗传学和周围环境是如何影响人类健康的。
微生物影响假单胞菌适应。我之所以选择这些项目来启动我的实验室,
是什么限制了细菌的适应性,这是一个可推广到所有细菌的问题。我们发现的机制是
可能与其他细菌的研究相关,因为许多细菌物种共享定殖机制,
这项工作也更广泛地涉及生态位进化的一般问题。我的长期目标
是利用这些研究中获得的知识来预测哪些微生物会经历宿主跳跃。
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 }}
Talia Karasov其他文献
Talia Karasov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 }}
相似国自然基金
Segmented Filamentous Bacteria激活宿主免疫系统抑制其拮抗菌 Enterobacteriaceae维持菌群平衡及其机制研究
- 批准号:81971557
- 批准年份:2019
- 资助金额:65.0 万元
- 项目类别:面上项目
电缆细菌(Cable bacteria)对水体沉积物有机污染的响应与调控机制
- 批准号:51678163
- 批准年份:2016
- 资助金额:64.0 万元
- 项目类别:面上项目
相似海外基金
Data-led bioengineering to uncover hidden chemical wealth in bacteria
以数据为主导的生物工程揭示细菌中隐藏的化学财富
- 批准号:
DP230102668 - 财政年份:2023
- 资助金额:
$ 38.5万 - 项目类别:
Discovery Projects
Data-driven discovery of novel terpene synthases and its utilization for efficient production of structurally divergent compounds through a light control system in bacteria
数据驱动的新型萜烯合酶的发现及其通过细菌中的光控制系统有效生产结构不同的化合物
- 批准号:
23K13898 - 财政年份:2023
- 资助金额:
$ 38.5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Challenging development of next-generation phage therapy against drug-resistant bacteria based on metagenomic data
基于宏基因组数据的下一代噬菌体疗法针对耐药细菌的挑战性发展
- 批准号:
21K19495 - 财政年份:2021
- 资助金额:
$ 38.5万 - 项目类别:
Grant-in-Aid for Challenging Research (Exploratory)
Using genome data from highly recombinant bacteria of the genus Neisseria to examine bacterial population structure, antibiotic resistance, and geneti
使用奈瑟氏球菌属高度重组细菌的基因组数据来检查细菌种群结构、抗生素耐药性和遗传学
- 批准号:
2270225 - 财政年份:2019
- 资助金额:
$ 38.5万 - 项目类别:
Studentship
BACTERIA: Big Data Communication Strategies for Bioaerosols
细菌:生物气溶胶的大数据通信策略
- 批准号:
1878512 - 财政年份:2017
- 资助金额:
$ 38.5万 - 项目类别:
Studentship
Systematic identification of novel µ-proteins in bacteria using ribosome profiling data
使用核糖体分析数据系统鉴定细菌中的新型 µ 蛋白
- 批准号:
378478032 - 财政年份:2017
- 资助金额:
$ 38.5万 - 项目类别:
Priority Programmes
Development of prediction methods for intestinal phage-bacteria associations from metagenomic data by hierarchical Bayesian model
通过分层贝叶斯模型开发宏基因组数据的肠道噬菌体-细菌关联的预测方法
- 批准号:
16K16144 - 财政年份:2016
- 资助金额:
$ 38.5万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
STATISTICAL AND DATA COORDINATING CENTER FOR CLINICAL RESEARCH ON RESISTANT BACTERIA
耐药细菌临床研究统计和数据协调中心
- 批准号:
9915760 - 财政年份:2015
- 资助金额:
$ 38.5万 - 项目类别:
Generic technology for halophilic bacteria using genomic data from next genearation sequencer
使用下一代测序仪的基因组数据的嗜盐细菌通用技术
- 批准号:
23580117 - 财政年份:2011
- 资助金额:
$ 38.5万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Size distributions of bacteria in lakes : data analysis and the adaptive dynamics
湖泊中细菌的大小分布:数据分析和适应性动态
- 批准号:
22770015 - 财政年份:2010
- 资助金额:
$ 38.5万 - 项目类别:
Grant-in-Aid for Young Scientists (B)