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代谢组学在蓝细菌中的最新应用。

Recent applications of metabolomics toward cyanobacteria.

作者信息

Schwarz Doreen, Orf Isabel, Kopka Joachim, Hagemann Martin

机构信息

Institut Biowissenschaften, Pflanzenphysiologie, Universität Rostock, Albert-Einstein-Str. 3, D-18059 Rostock, Germany.

Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Golm, Germany.

出版信息

Metabolites. 2013 Feb 4;3(1):72-100. doi: 10.3390/metabo3010072.

Abstract

Our knowledge on cyanobacterial molecular biology increased tremendously by the application of the "omics" techniques. Only recently, metabolomics was applied systematically to model cyanobacteria. Metabolomics, the quantitative estimation of ideally the complete set of cellular metabolites, is particularly well suited to mirror cellular metabolism and its flexibility under diverse conditions. Traditionally, small sets of metabolites are quantified in targeted metabolome approaches. The development of separation technologies coupled to mass-spectroscopy- or nuclear-magnetic-resonance-based identification of low molecular mass molecules presently allows the profiling of hundreds of metabolites of diverse chemical nature. Metabolome analysis was applied to characterize changes in the cyanobacterial primary metabolism under diverse environmental conditions or in defined mutants. The resulting lists of metabolites and their steady state concentrations in combination with transcriptomics can be used in system biology approaches. The application of stable isotopes in fluxomics, i.e. the quantitative estimation of carbon and nitrogen fluxes through the biochemical network, has only rarely been applied to cyanobacteria, but particularly this technique will allow the making of kinetic models of cyanobacterial systems. The further application of metabolomics in the concert of other "omics" technologies will not only broaden our knowledge, but will also certainly strengthen the base for the biotechnological application of cyanobacteria.

摘要

通过“组学”技术的应用,我们对蓝藻分子生物学的了解有了极大的增长。直到最近,代谢组学才被系统地应用于模式蓝藻。代谢组学是对细胞代谢物完整集合进行理想的定量评估,特别适合反映细胞代谢及其在不同条件下的灵活性。传统上,在靶向代谢组学方法中对少量代谢物进行定量。目前,与基于质谱或核磁共振的低分子量分子鉴定相结合的分离技术的发展,使得对数百种不同化学性质的代谢物进行分析成为可能。代谢组分析被用于表征不同环境条件下或特定突变体中蓝藻初级代谢的变化。由此得到的代谢物列表及其稳态浓度与转录组学相结合,可用于系统生物学方法。稳定同位素在通量组学中的应用,即通过生化网络对碳和氮通量进行定量评估,很少应用于蓝藻,但特别是这项技术将有助于建立蓝藻系统的动力学模型。代谢组学在其他“组学”技术协同中的进一步应用,不仅会拓宽我们的知识面,也必将加强蓝藻生物技术应用的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d8f/3901253/693ca27638ff/metabolites-03-00072-g001.jpg

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