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Improving the quantification of microbial cell abundances in subseafloor sediments through a combination of newly developed cell extraction and automated cell enumeration techniques

Improving the quantification of microbial cell abundances in subseafloor sediments through a combination of newly developed cell extraction and automated cell enumeration techniques
通过结合新开发的细胞提取和自动细胞计数技术,提高海底沉积物中微生物细胞丰度的量化
批准号:
173158157
负责人:
Dr. Jens Kallmeyer
金额:
$0.0万
依托单位国家:
德国
项目类别:
Infrastructure Priority Programmes
财政年份:
2010
资助国家:
德国
项目状态:
已结题
起止时间:
2009-12-31 至 2010-12-31

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中文摘要
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英文摘要
Exploration of the deep subseafloor biosphere is one of the most rapidly advancing fields of research within IODP. One the most fundamental parameters is the total amount of microbial biomass and its distribution with depth. This parameter can still not be quantified satisfactorily because of a lack of sensitivity of the current methods and the extremely time consuming manual analysis. The applicant recently developed a new cell extraction technique, which allows for a much lower detection limit by removing the cells semiquantitatively from the sediment, allowing more sediment to be used. Counting statistics improve significantly due to more cells being counted on each sample, however at the cost of increased processing time. Recent advances by the co-proponent in the field of automated sample processing allow for a much greater number of samples being processed. A combination of both techniques has the potential to greatly improve our understanding of the fine-scale dynamics of microbial population densities through better counting statistics and higher sample numbers, especially in extremely cell-poor environments. However, combining the two techniques is far from easy and requires careful modifications on both the cell extraction and the automated counting. The proposed visit will be used to work out the details for the combination of the two methods.
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Exploring microbial sulphate reduction under high temperature and pressure
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    408249062
  • 项目类别:
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  • 资助金额:
    $0.0万
  • 财政年份:
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  • 财政年份:
    2014
  • 负责人:
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    202964661
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    2011
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  • 依托单位:
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  • 批准号:
    167158934
  • 项目类别:
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  • 财政年份:
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国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
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    --
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    160万元
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    2022
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高维半参数模型的稳健统计推断
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    10.0万元
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    2022
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玉米幼苗干旱胁迫应答NAC转录因子基因的筛选和鉴定
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  • 批准年份:
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  • 负责人:
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