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Integration of molecular functions at the ecosystemic level: breakthroughs and future goals of environmental genomics and post-genomics

机译:在生态系统层面整合分子功能:环境基因组学和后基因组学的突破和未来目标

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摘要

Environmental genomics and genome-wide expression approaches deal with large-scale sequence-based information obtained from environmental samples, at organismal, population or community levels. To date, environmental genomics, transcriptomics and proteomics are arguably the most powerful approaches to discover completely novel ecological functions and to link organismal capabilities, organism–environment interactions, functional diversity, ecosystem processes, evolution and Earth history. Thus, environmental genomics is not merely a toolbox of new technologies but also a source of novel ecological concepts and hypotheses. By removing previous dichotomies between ecophysiology, population ecology, community ecology and ecosystem functioning, environmental genomics enables the integration of sequence-based information into higher ecological and evolutionary levels. However, environmental genomics, along with transcriptomics and proteomics, must involve pluridisciplinary research, such as new developments in bioinformatics, in order to integrate high-throughput molecular biology techniques into ecology. In this review, the validity of environmental genomics and post-genomics for studying ecosystem functioning is discussed in terms of major advances and expectations, as well as in terms of potential hurdles and limitations. Novel avenues for improving the use of these approaches to test theory-driven ecological hypotheses are also explored.
机译:环境基因组学和全基因组表达方法处理从环境样本中获得的大规模序列信息,这些信息来自生物,种群或社区。迄今为止,可以说,环境基因组学,转录组学和蛋白质组学是发现完全新颖的生态功能并将有机能力,生物与环境相互作用,功能多样性,生态系统过程,进化和地球历史联系起来的最有效方法。因此,环境基因组学不仅是新技术的工具箱,而且还是新颖的生态学概念和假设的来源。通过消除先前在生态生理学,种群生态学,社区生态学和生态系统功能之间的二分法,环境基因组学使基于序列的信息整合到更高的生态学和进化水平。但是,环境基因组学以及转录组学和蛋白质组学必须涉及多学科研究,例如生物信息学的新发展,以便将高通量分子生物学技术整合到生态学中。在这篇综述中,从主要进展和期望以及潜在的障碍和局限性方面讨论了环境基因组学和后基因组学对研究生态系统功能的有效性。还探索了改进这些方法以测试理论驱动的生态假设的新途径。

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