Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
ISME J. 2013 Jan;7(1):110-21. doi: 10.1038/ismej.2012.72. Epub 2012 Jul 5.
Mixed microbial communities are complex, dynamic and heterogeneous. It is therefore essential that biomolecular fractions obtained for high-throughput omic analyses are representative of single samples to facilitate meaningful data integration, analysis and modeling. We have developed a new methodological framework for the reproducible isolation of high-quality genomic DNA, large and small RNA, proteins, and polar and non-polar metabolites from single unique mixed microbial community samples. The methodology is based around reproducible cryogenic sample preservation and cell lysis. Metabolites are extracted first using organic solvents, followed by the sequential isolation of nucleic acids and proteins using chromatographic spin columns. The methodology was validated by comparison to traditional dedicated and simultaneous biomolecular isolation methods. To prove the broad applicability of the methodology, we applied it to microbial consortia of biotechnological, environmental and biomedical research interest. The developed methodological framework lays the foundation for standardized molecular eco-systematic studies on a range of different microbial communities in the future.
混合微生物群落复杂、动态且具有异质性。因此,对于高通量组学分析获得的生物分子馏分,必须能够代表单个样本,以促进有意义的数据集成、分析和建模。我们开发了一种新的方法学框架,用于从单个独特的混合微生物群落样本中可重复地分离高质量的基因组 DNA、大 RNA 和小 RNA、蛋白质以及极性和非极性代谢物。该方法基于可重复的低温样品保存和细胞裂解。首先使用有机溶剂提取代谢物,然后使用色谱旋转柱顺序分离核酸和蛋白质。该方法通过与传统的专用和同时的生物分子分离方法进行比较得到了验证。为了证明该方法的广泛适用性,我们将其应用于生物技术、环境和生物医学研究感兴趣的微生物联合体。所开发的方法学框架为未来对一系列不同微生物群落进行标准化分子生态系统研究奠定了基础。