Max-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm, Germany.
Nat Protoc. 2010 Jun;5(6):1210-27. doi: 10.1038/nprot.2010.82. Epub 2010 Jun 10.
Given the ever-increasing number of species for which full-genome sequencing has been realized, there is a rising burden for gene functional annotation. In this study, we provide a detailed protocol that combines co-response gene analysis (using target genes of known function to allow the identification of nonannotated genes likely to be involved in a certain metabolic process) with the identification of target compounds through metabolomics. Strategies exist for applying this information to populations generated by both forward and reverse genetics approaches, although none of these are facile. This approach can also be used as a tool to identify unknown mass-spectral peaks representing new or unusual secondary metabolites, which is currently the major challenge of this analytical research field.
鉴于已经实现全基因组测序的物种数量不断增加，基因功能注释的负担也在不断增加。在这项研究中，我们提供了一个详细的方案，该方案结合了共反应基因分析（使用已知功能的靶基因来识别可能参与特定代谢过程的非注释基因）和通过代谢组学鉴定靶化合物。虽然这些策略都不容易，但已经存在将这些信息应用于正向和反向遗传学方法产生的群体的策略。该方法还可以用作识别代表新的或不寻常的次生代谢物的未知质谱峰的工具，这是当前分析研究领域的主要挑战。
