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MedicCyc:一种用于蒺藜苜蓿的生化途径数据库。

MedicCyc: a biochemical pathway database for Medicago truncatula.

作者信息

Urbanczyk-Wochniak Ewa, Sumner Lloyd W

机构信息

The Samuel Roberts Noble Foundation, Inc., Ardmore, OK 73401, USA.

出版信息

Bioinformatics. 2007 Jun 1;23(11):1418-23. doi: 10.1093/bioinformatics/btm040. Epub 2007 Mar 7.

Abstract

MOTIVATION

There is an imperative need to integrate functional genomics data to obtain a more comprehensive systems-biology view of the results. We believe that this is best achieved through the visualization of data within the biological context of metabolic pathways. Accordingly, metabolic pathway reconstruction was used to predict the metabolic composition for Medicago truncatula and these pathways were engineered to enable the correlated visualization of integrated functional genomics data.

RESULTS

Metabolic pathway reconstruction was used to generate a pathway database for M. truncatula (MedicCyc), which currently features more than 250 pathways with related genes, enzymes and metabolites. MedicCyc was assembled from more than 225,000 M. truncatula ESTs (MtGI Release 8.0) and available genomic sequences using the Pathway Tools software and the MetaCyc database. The predicted pathways in MedicCyc were verified through comparison with other plant databases such as AraCyc and RiceCyc. The comparison with other plant databases provided crucial information concerning enzymes still missing from the ongoing, but currently incomplete M. truncatula genome sequencing project. MedicCyc was further manually curated to remove non-plant pathways, and Medicago-specific pathways including isoflavonoid, lignin and triterpene saponin biosynthesis were modified or added based upon available literature and in-house expertise. Additional metabolites identified in metabolic profiling experiments were also used for pathway predictions. Once the metabolic reconstruction was completed, MedicCyc was engineered to visualize M. truncatula functional genomics datasets within the biological context of metabolic pathways.

AVAILABILITY

freely accessible at http://www.noble.org/MedicCyc/

摘要

动机

迫切需要整合功能基因组学数据,以获得更全面的系统生物学视角的结果。我们认为,最好通过在代谢途径的生物学背景下可视化数据来实现这一点。因此,利用代谢途径重建来预测蒺藜苜蓿的代谢组成,并对这些途径进行设计,以实现整合功能基因组学数据的相关可视化。

结果

利用代谢途径重建生成了蒺藜苜蓿的途径数据库(MedicCyc),目前该数据库具有250多条包含相关基因、酶和代谢物的途径。MedicCyc是使用Pathway Tools软件和MetaCyc数据库从超过225,000条蒺藜苜蓿EST(MtGI版本8.0)和可用的基因组序列组装而成。通过与其他植物数据库(如AraCyc和RiceCyc)进行比较,验证了MedicCyc中预测的途径。与其他植物数据库的比较提供了有关蒺藜苜蓿基因组测序项目正在进行但目前不完整的过程中仍缺失的酶的关键信息。MedicCyc进一步经过人工整理以去除非植物途径,并根据现有文献和内部专业知识对包括异黄酮、木质素和三萜皂苷生物合成在内的蒺藜苜蓿特异性途径进行了修改或添加。代谢谱分析实验中鉴定出的其他代谢物也用于途径预测。一旦代谢重建完成,MedicCyc就被设计用于在代谢途径的生物学背景下可视化蒺藜苜蓿功能基因组学数据集。

可用性

可在http://www.noble.org/MedicCyc/免费获取

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