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EAGER: Tracking marine diazotrophy with isotope-labeling proteomics

EAGER: Tracking marine diazotrophy with isotope-labeling proteomics
EAGER:利用同位素标记蛋白质组学追踪海洋固氮营养
批准号:
2050685
负责人:
Jacob Waldbauer
金额:
$29.96万
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:
已结题
起止时间:
2021-01-01 至 2023-12-31

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中文摘要
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英文摘要
Throughout much of the global ocean, nitrogen fixation – the conversion of abundant atmospheric nitrogen gas into chemical forms usable by life – is a crucial source of nutrients for biological activity. In particular, life needs nitrogen to make proteins, the essential biochemical machines that power all cells. Nitrogen fixation in the oceans is carried out by a variety of microorganisms, whose surprising diversity and ecology oceanographers are working to uncover. This project uses a novel mass spectrometry technique to directly track the flow of nitrogen from nitrogen gas, via nitrogen fixation, into proteins. These measurements reveal which nitrogen-fixing organisms are active in a given part of the ocean, what proteins they make with the nitrogen they fix, and how that nitrogen ultimately flows to feed the entire marine biological community. This information will better inform models and predictions of how marine microbial ecosystems, and the essential biogeochemistry they perform, responds to changing conditions in the ocean. This project engages an undergraduate student researcher, recruited from groups underrepresented in science, in both the field and laboratory work.Diazotrophy (biological N2 fixation) is the largest input of fixed nitrogen to the ocean and is carried out by a wide diversity of marine microbes, but we have limited ability to quantify the N2-fixation activity of the full diversity of marine diazotrophs, or to resolve how the N they fix ultimately flows to supply the broader microbial community. Since the primary biosynthetic fate of fixed N2 is protein production, proteomics is poised to make substantial contributions to our understanding of the marine nitrogen cycle, and to the molecular physiology and ecological roles of diazotrophs in particular. This project brings a novel 15N-tracking proteomics methodology to bear on three outstanding questions in marine diazotroph ecology:1) How is whole-community N2 fixation activity apportioned among different diazotroph taxa?2) How do diazotrophs and their symbiotic partners make biosynthetic use of the N they fix?3) How much diazotroph-derived N is redistributed to particular non-diazotroph taxa?The investigators are conducting 15N2-tracking proteomics experiments at the Hawaii Ocean Time-series (HOT) Station ALOHA, assaying N incorporation from 15N-labeled dinitrogen into proteins of both diazotrophs and the broader microbial community. This is the first use of proteomics to track diazotrophic 15N2 incorporation, representing a novel, molecular-level approach for investigating marine nitrogen fixation that encompasses the entire microbial community with high taxonomic resolution. 15N-tracking proteomics data provides unique insight into the flow of nitrogen currency through its key biological accounts in cellular proteomes, and into the ecophysiology and biogeochemical roles of marine diazotrophs.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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Collaborative Research: Revealing the interplay between light, sulfur cycling, and oxygen production in cyanobacterial mats
  • 批准号:
    1637168
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.09万
  • 财政年份:
    2016
  • 负责人:
    Jacob Waldbauer
  • 依托单位:
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基于非结构化网格Front Tracking方法的复杂流动区域弹性界面液滴动力学研究
  • 批准号:
    52006188
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    李国杰
  • 依托单位:
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  • 批准号:
    51804297
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2018
  • 负责人:
    刘振国
  • 依托单位:
非规则网格的front tracking 方法研究与程序实现
  • 批准号:
    11176015
  • 项目类别:
    联合基金项目
  • 资助金额:
    40.0万元
  • 批准年份:
    2011
  • 负责人:
    茅德康
  • 依托单位:
多流体ALE模式下Front tracking 界面追踪法研究