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Development of a mobile ecogenomic sensor

机译:开发移动经济基因传感器

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Modern ocean microbial research utilizes advanced molecular analytical techniques, such as polymerase chain reaction (PCR), DNA and protein probe arrays, and nucleic acid sequencing (etc.). Applying or at least initiating these techniques at the point and time of sample collection can enhance their effectiveness. To that end, in-situ sample processing and real-time molecular detection schemes have been implemented using deployable autonomous systems that can be operated in diverse ocean environments from shallow coastal waters to the deep sea. Such devices have been termed ???ecogenomic sensors.??? The size of these instruments currently requires that they be moored in a fixed location or passively mobile, drifting at fixed depth and observing microbial communities in a moving frame of reference with ocean currents. With the highly dynamic motion of open water and microbial life, the next frontier of ocean microbial research requires the improved capability of an actively mobile asset. A mobile ecogenomic sensor encompasses a fully maneuverable vehicle with weeks of persistence, environmental data analysis, detection of physical and biological features, autonomous sampling and in situ analysis, and near-real-time data reporting. This system is now being developed by integrating three components: a compact molecular analytical instrument (the 3rd generation Environmental Sample Processor), a long-range autonomous underwater vehicle, and software algorithms for AUV-based feature detection and sampling. A summary of the system and its initial application is presented.
机译:现代海洋微生物研究利用先进的分子分析技术,例如聚合酶链反应(PCR),DNA和蛋白质探针阵列以及核酸测序(等)。在样品采集的时间点应用或至少启动这些技术可以增强其有效性。为此,已经使用可部署的自主系统实施了原位样品处理和实时分子检测方案,该系统可以在从浅海沿岸到深海的不同海洋环境中运行。这种装置被称为“经济基因传感器”。这些仪器的大小目前要求将它们停泊在固定位置或被动移动,以固定深度漂移并在洋流的移动参考系中观察微生物群落。随着开放水域和微生物生命的高度动态变化,海洋微生物研究的下一个前沿领域要求提高主动移动资产的能力。移动经济基因传感器包括具有一周持续性,环境数据分析,物理和生物学特征检测,自主采样和原位分析以及近实时数据报告的可完全操纵的车辆。现在,通过集成三个组件来开发该系统:紧凑型分子分析仪(第三代环境样品处理器),远程自主水下航行器以及用于基于AUV的特征检测和采样的软件算法。介绍了系统及其最初的应用程序的摘要。

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