Suppr超能文献

黑曲霉文献组、基因组、代谢组和反应组的代谢模型整合

Metabolic model integration of the bibliome, genome, metabolome and reactome of Aspergillus niger.

作者信息

Andersen Mikael Rørdam, Nielsen Michael Lynge, Nielsen Jens

机构信息

Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.

出版信息

Mol Syst Biol. 2008;4:178. doi: 10.1038/msb.2008.12. Epub 2008 Mar 25.

Abstract

The release of the genome sequences of two strains of Aspergillus niger has allowed systems-level investigations of this important microbial cell factory. To this end, tools for doing data integration of multi-ome data are necessary, and especially interesting in the context of metabolism. On the basis of an A. niger bibliome survey, we present the largest model reconstruction of a metabolic network reported for a fungal species. The reconstructed gapless metabolic network is based on the reportings of 371 articles and comprises 1190 biochemically unique reactions and 871 ORFs. Inclusion of isoenzymes increases the total number of reactions to 2240. A graphical map of the metabolic network is presented. All levels of the reconstruction process were based on manual curation. From the reconstructed metabolic network, a mathematical model was constructed and validated with data on yields, fluxes and transcription. The presented metabolic network and map are useful tools for examining systemwide data in a metabolic context. Results from the validated model show a great potential for expanding the use of A. niger as a high-yield production platform.

摘要

两种黑曲霉菌株基因组序列的公布,使得对这个重要的微生物细胞工厂能够进行系统层面的研究。为此,需要有对多组学数据进行数据整合的工具,在代谢背景下尤其如此。基于对黑曲霉文献组的调查,我们展示了报道的真菌物种代谢网络的最大模型重建。重建的无间隙代谢网络基于371篇文章的报道,包含1190个生物化学上独特的反应和871个开放阅读框。包含同工酶后,反应总数增加到2240个。展示了代谢网络的图形化图谱。重建过程的各个层面均基于人工编目。从重建的代谢网络构建了一个数学模型,并通过产量、通量和转录数据进行了验证。所展示的代谢网络和图谱是在代谢背景下检查全系统数据的有用工具。经过验证的模型结果显示,扩大将黑曲霉用作高产生产平台的应用具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da78/2290933/d23057d8e299/msb200812-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验