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Metagenomics And Microbe Metabolism

机译:元基因组学和微生物代谢

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摘要

Metagenomics allows direct sequencing of environmental samples and can yield insights into complex microbial communities. Comparative metagenomic studies have shown significant variation in microbial genome size and metabolic capabilities in different environments butrnhave not previously incorporated quantitative measurements of the environment. Tara Gianoulis et al. used correlation and regression to link microbial metabolism changes to environmental gradients. Drawing on data from the Global Ocean Survey, the authors used environmental mea-surements and metagenomic samples for 37 locations to define geographic sites and their environmental or metabolic features. The authors first identified linear relationships among microbial pathways present in a geographic location and then determined more complex, higher-order rela-tionships by using canonical correlation analysis. Gianoulis et al. found that differences in energy conversion strategies resulted in many of the variations linked to differences in the environment.
机译:元基因组学可以对环境样品进行直接测序,并可以深入了解复杂的微生物群落。对比宏基因组学研究表明,在不同环境中微生物基因组大小和代谢能力存在显着差异,但以前尚未纳入环境的定量测量方法。 Tara Gianoulis等。使用相关性和回归将微生物代谢变化与环境梯度联系起来。作者利用全球海洋调查的数据,使用环境测量和宏基因组学样本对37个位置进行了定义,以定义地理位置及其环境或代谢特征。作者首先确定了地理位置中存在的微生物途径之间的线性关系,然后使用规范相关分析确定了更复杂的高阶关系。 Gianoulis等。发现能源转换策略的差异导致许多与环境差异有关的差异。

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