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Metabolomics of aquatic organisms: the new ‘omics’ on the block

机译:水生生物的代谢组学:新兴的“组学”

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摘要

ABSTRACT: Environmental metabolomics can be defined as the application of metabolomics to characterise the metabolism of free-living organisms obtained from the natural environment and of organisms reared under laboratory conditions, where those conditions serve to mimic scenarios encountered in the natural environment. This approach has considerable potential for characterising the responses of organisms to natural and anthropogenic stressors. The current essay introduces environmental metabolomics, discusses the challenges of measuring metabolites, and then highlights the dynamic nature of the metabolome that can be exploited to provide a holistic view of an organism’s health. Dealing with metabolic variability is a considerable challenge in environmental metabolomics. Here, I propose the concept of a normal metabolic operating range (NMOR), defined as the region in metabolic space in which 95% of individuals from a population reside, with stress identified as a deviation from the NMOR. Furthermore, I emphasise the importance of genotypic and phenotypic anchoring (e.g. knowing species, gender, age) to facilitate interpretation of multivariate metabolomics data.
机译:摘要:环境代谢组学可以定义为代谢组学在表征从自然环境中获得的自由生物和在实验室条件下饲养的生物的代谢中的应用,这些条件可模拟自然环境中遇到的情况。这种方法具有表征生物对自然和人为压力源的反应的巨大潜力。本篇文章介绍了环境代谢组学,讨论了测量代谢物的挑战,然后重点介绍了可以利用代谢组的动态性质来提供对生物健康状况的整体看法。在环境代谢组学中,应对代谢变异性是一个相当大的挑战。在这里,我提出了正常代谢工作范围(NMOR)的概念,定义为代谢空间中人群中95%的个体居住的区域,应力被确定为偏离NMOR。此外,我强调了基因型和表型锚定(例如,了解物种,性别,年龄)对促进多元代谢组学数据解释的重要性。

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