RII Track-4: Visualization of Host-Microbe Interactions using CLASI-FISH

RII Track-4:使用 CLASI-FISH 可视化宿主-微生物相互作用

基本信息

  • 批准号:
    1929078
  • 负责人:
  • 金额:
    $ 26.1万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-02-01 至 2024-01-31
  • 项目状态:
    已结题

项目摘要

The reef-forming eastern oyster, Crassostrea virginica, is abundant across the east coast of the United States, where it contributes to the environmental health of coastal ecosystems through seashore stabilization, water quality improvement, and habitat provision. The oyster host selectively harbors a distinct composition of microorganisms (known as the microbiota) from the surrounding seawater. Despite the potential roles of microbiota in mediating host health and ecological function, little is known about their mechanism of interaction. This project will provide new insights into the diversity and function of oyster microbiota by integrating cutting-edge technologies in molecular sequencing, computational biology, and microscopic imaging. A new collaboration will be initiated between an early career faculty and her Ph.D. student at the University of Rhode Island and a leading expert in microscopy and microbiota imaging at the Marine Biological Laboratory. The research will provide new opportunities for the cross-disciplinary training of underrepresented students at a public institution of the Rhode Island (RI) jurisdiction. Due to the significant ecological and economic roles of C. virginica in coastal waters of RI, the research will also provide insights into population management by enabling future research on the mechanisms underlying the physiology, immune responses, and conservation of eastern oysters in coastal ecosystems.Suspension-feeding bivalves play critical roles in the nutrient dynamics, benthic-pelagic coupling, nitrogen cycling, and biomineralization in estuarine and marine ecosystems. Despite their high filtration rate, the eastern oyster, Crassostrea virginica, maintains distinct microbiota from surrounding seawater. However, the mechanisms leading to the selective nature of the oyster microbiota is largely unknown. The proposed research aims to address this problem by applying state-of-the-art microscopic technologies into visualizing the in-situ composition and spatial organization of oyster-associated microbiota across diverse tissue types. The microscopic imaging will be integrated with shotgun metagenomic sequencing and metagenome-based reconstruction of microbial genomes to enable strain-level probe designs and functional inferences. An early career faculty and her Ph.D. student from the University of Rhode Island will take extended collaborative visits to imaging experts at the Marine Biological Laboratory to obtain trainings that would enable the specific imaging of microbial strains in host tissues. This proposal represents a first example in which high-throughput sequencing will be combined with advanced microscopy to analyze the composition, spatial organization, and function of resident microbiota associated with the eastern oyster. It will take advantage of the extensive community profiling and functional analysis performed in the team’s preliminary research, especially the genome reconstruction of novel, uncultured strains of the oyster microbiota. Combining microscopic imaging with the mining of metagenomes, the proposed project will open up new opportunities for the broad investigation of other host-microbe interactions using similar approaches, especially for non-model organisms in the estuarine and marine ecosystems.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.
形成礁石的东部牡蛎Crassostrea virgiica遍布美国东海岸,通过稳定海岸、改善水质和提供栖息地,为沿海生态系统的环境健康做出贡献。牡蛎宿主选择性地藏匿着与周围海水不同的微生物组成(称为微生物群)。尽管微生物区系在调节寄主健康和生态功能方面具有潜在的作用,但人们对它们的相互作用机制知之甚少。该项目将通过整合分子测序、计算生物学和显微成像方面的尖端技术,为牡蛎微生物区系的多样性和功能提供新的见解。一项新的合作将在一名早期职业教师和她在罗德岛大学的博士生和海洋生物实验室的显微镜和微生物群成像方面的领先专家之间展开。这项研究将为罗德岛(RI)辖区的一所公立机构对代表性不足的学生进行跨学科培训提供新的机会。由于华东牡蛎在RI沿海水域具有重要的生态和经济作用,这项研究还将为种群管理提供洞察力,使未来能够研究沿海生态系统中东部牡蛎的生理、免疫反应和保护机制。悬浮食性双壳类在河口和海洋生态系统的营养动态、底栖-上层耦合、氮循环和生物矿化过程中发挥关键作用。尽管东部牡蛎的滤水率很高,但它们与周围的海水保持着截然不同的微生物群。然而,导致牡蛎微生物区系选择性的机制在很大程度上是未知的。这项拟议的研究旨在通过应用最先进的显微技术来可视化不同组织类型中与牡蛎相关的微生物群的原位组成和空间组织,以解决这一问题。显微成像将与鸟枪式超基因组测序和基于微生物基因组的超基因组重建相结合,以实现菌株水平的探针设计和功能推断。罗德岛大学的一名早期教师和她的博士生将与海洋生物实验室的成像专家进行长期的合作访问,以获得能够对宿主组织中的微生物菌株进行特定成像的培训。这项提议是第一个例子,高通量测序将与先进的显微镜相结合,以分析与东方牡蛎相关的驻留微生物区系的组成、空间组织和功能。它将利用在团队的初步研究中进行的广泛的群落概况和功能分析,特别是牡蛎微生物区系的新的、未培养的菌株的基因组重建。将显微成像与后基因组挖掘相结合,拟议的项目将为使用类似方法广泛研究其他宿主-微生物相互作用开辟新的机会,特别是对河口和海洋生态系统中的非模式生物。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Ying Zhang其他文献

Nuclear matter properties with nucleon-nucleon forces up to fifth order in the chiral expansion
手性展开中核子-核力高达五阶的核物质特性
  • DOI:
    10.1103/physrevc.96.034307
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Jinniu Hu;Ying Zhang;Evgeny Epelbaum;Ulf-G. Meißner;Jie Meng
  • 通讯作者:
    Jie Meng
Semi-supervised support vector classification with self-constructed Universum
自建Universum的半监督支持向量分类
  • DOI:
    10.1016/j.neucom.2015.11.041
  • 发表时间:
    2016-05
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Yingjie Tian;Ying Zhang;Dalian Liu
  • 通讯作者:
    Dalian Liu
Experimental investigation and design of extruded aluminium alloy T-stubs connected by swage-locking pins
挤压锁紧销连接的挤压铝合金 T 形管的实验研究与设计
  • DOI:
    10.1016/j.engstruct.2019.109675
  • 发表时间:
    2019-12
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Zhongxing Wang;Yuanqing Wang;Ying Zhang;Leroy Gardner;Yuanwen Ouyang
  • 通讯作者:
    Yuanwen Ouyang
TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2
TransFusionNet:JetsonTX2 下肝脏肿瘤和血管分割的语义和空间特征融合框架
  • DOI:
    10.1109/jbhi.2022.3207233
  • 发表时间:
    2022-09
  • 期刊:
  • 影响因子:
    7.7
  • 作者:
    Xun Wang;Xudong Zhang;Gan Wang;Ying Zhang;Xin Shi;Huanhuan Dai;Min Liu;Zixuan Wang;Xiangyu Meng
  • 通讯作者:
    Xiangyu Meng
Core Test Wrapper Design for Unicast and Multicast NOC Testing
用于单播和组播 NOC 测试的核心测试包装设计
  • DOI:
    10.3923/itj.2013.8242.8248
  • 发表时间:
    2013-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ying Zhang;Ning Wu;Fen Ge
  • 通讯作者:
    Fen Ge

Ying Zhang的其他文献

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{{ truncateString('Ying Zhang', 18)}}的其他基金

Collaborative Research: MEMONET: Understanding memory in neuronal networks through a brain-inspired spin-based artificial intelligence
合作研究:MEMONET:通过受大脑启发的基于自旋的人工智能了解神经元网络中的记忆
  • 批准号:
    1939992
  • 财政年份:
    2019
  • 资助金额:
    $ 26.1万
  • 项目类别:
    Continuing Grant
Adaptive Thermal Management for Next-Generation Implantable Devices
下一代植入设备的自适应热管理
  • 批准号:
    1711447
  • 财政年份:
    2017
  • 资助金额:
    $ 26.1万
  • 项目类别:
    Standard Grant
Collaborative Research: Physiological Plasticity and Response of Benthic Foraminifera to Oceanic Deoxygenation
合作研究:底栖有孔虫的生理可塑性和对海洋脱氧的响应
  • 批准号:
    1557566
  • 财政年份:
    2016
  • 资助金额:
    $ 26.1万
  • 项目类别:
    Standard Grant
CAREER: Integrated Annotation and Comparative Analysis of Metabolic Models
职业:代谢模型的综合注释和比较分析
  • 批准号:
    1553211
  • 财政年份:
    2016
  • 资助金额:
    $ 26.1万
  • 项目类别:
    Continuing Grant
CAREER: Adaptive Power Management for Supercapacitor-Operated Sustainable Wireless Sensor Networks
职业:超级电容器供电的可持续无线传感器网络的自适应电源管理
  • 批准号:
    1253390
  • 财政年份:
    2013
  • 资助金额:
    $ 26.1万
  • 项目类别:
    Standard Grant
GOALI: Platinum-Enriched Gamma + Gamma Prime Bond Coats for Next-Generation Single-Crystal Superalloys
GOALI:用于下一代单晶高温合金的富铂 Gamma Gamma Prime 粘结涂层
  • 批准号:
    0504566
  • 财政年份:
    2005
  • 资助金额:
    $ 26.1万
  • 项目类别:
    Continuing Grant

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协作研究:GEO OSE 轨道 2:开发支持 CI 的协作工作流程以集成 SZ4D(四维俯冲带)社区的数据
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