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How Do the Players Play? A Post-Genomic Analysis Paradigm to Understand Aquatic Ecosystem Processes

机译:玩家如何玩? 理解水生生态系统过程的基因组分析范式

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Culture-independent sequencing methods – known collectively as meta-omics – have shed considerable light on the so-called “microbial dark matter” of the natural world, improving our understanding of phylogeny, the tree of life, and the vast functional diversity of microorganisms. This influx of sequence data has led to refined and reimagined hypotheses about the role and importance of microbial biomass, that paradoxically, sequencing approaches alone are unable to effectively test. Post-genomic approaches such as metabolomics are providing more sensitive and insightful data to unravel the fundamental operations and intricacies of microbial communities within aquatic systems. We assert that the implementation of integrated post-genomic approaches, specifically metabolomics and metatranscriptomics, is the new frontier of environmental microbiology and ecology, expanding conventional assessments towards a holistic systems biology understanding. Progressing beyond siloed phylogenetic assessments and/or cataloguing of metabolites, towards integrated analysis of expression (metatranscriptomics) and activity (metabolomics) is the most effective approach to provide true insight into microbial contributions towards local and global ecosystem functions. This data in turn creates opportunity for improved regulatory guidelines, biomarker discovery and better integration of modelling frameworks. To that end, critical aquatic environmental issues related to climate change, such as ocean warming and acidification, mitigation of contamination, and macro-organism health have reasonable opportunity of being addressed through such an integrative approach. Lastly, we argue that the “post-genomics” paradigm is well served to proactively address the systemic technical issues experienced throughout the genomics revolution and focus on collaborative assessment of field-wide experimental standards of sampling, bioinformatics and statistical treatments.
机译:培养无关的测序方法 - 作为元常规的统称 - 在自然界的所谓“微生物暗物质”上揭示了相当的光,从而改善了我们对系统发育的理解,生命之树,以及微生物的巨大功能多样性。这种序列数据的流入导致了关于微生物生物量的角色和重要性的精制和再致原声,即矛盾,单独的序列序列不能有效地测试。代谢组学的后期基因组方法正在提供更敏感和富有洞察力的数据,以解开水生系统内微生物群落的基本操作和复杂性。我们断言,实施综合后基因组方法,特别是代谢组合和跖骨特征,是环境微生物学和生态学的新前沿,扩大了对整体系统生物学理解的常规评估。超出硅酸盐系统发育评估和/或代谢物目录,朝向表达综合分析(Metabolomics)和活性(代谢组学)是最有效的方法,以便为对当地和全球生态系统功能进行真正了解微生物贡献。此数据反过来创造了改进的监管指南,生物标志物发现和更好地集成建模框架的机会。为此,与气候变化有关的关键水生环境问题,如海洋变暖和酸化,缓解污染和宏观生物健康有合理的机会通过这种综合方法解决。最后,我们争辩说“后基因组学”范式良好地提供了主动解决整个基因组学革命的全身技术问题,并专注于对实地采样,生物信息学和统计治疗的实地实验标准的协同评估。

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