The RAVEN Toolbox and Its Use for Generating a Genome-scale Metabolic Model for Penicillium chrysogenum

被引:264
作者
Agren, Rasmus [1 ]
Liu, Liming [1 ]
Shoaie, Saeed [1 ]
Vongsangnak, Wanwipa [2 ]
Nookaew, Intawat [1 ]
Nielsen, Jens [1 ]
机构
[1] Chalmers Univ Technol, Dept Chem & Biol Engn, S-41296 Gothenburg, Sweden
[2] Soochow Univ, Ctr Syst Biol, Suzhou, Peoples R China
基金
欧洲研究理事会;
关键词
HIGH-YIELDING STRAIN; ESCHERICHIA-COLI; SACCHAROMYCES-CEREVISIAE; BIOCHEMICAL NETWORKS; RECONSTRUCTION; PREDICTION; SEQUENCE; PATHWAY; IDENTIFICATION; BIOSYNTHESIS;
D O I
10.1371/journal.pcbi.1002980
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We present the RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox: a software suite that allows for semi-automated reconstruction of genome-scale models. It makes use of published models and/or the KEGG database, coupled with extensive gap-filling and quality control features. The software suite also contains methods for visualizing simulation results and omics data, as well as a range of methods for performing simulations and analyzing the results. The software is a useful tool for system-wide data analysis in a metabolic context and for streamlined reconstruction of metabolic networks based on protein homology. The RAVEN Toolbox workflow was applied in order to reconstruct a genome-scale metabolic model for the important microbial cell factory Penicillium chrysogenum Wisconsin54-1255. The model was validated in a bibliomic study of in total 440 references, and it comprises 1471 unique biochemical reactions and 1006 ORFs. It was then used to study the roles of ATP and NADPH in the biosynthesis of penicillin, and to identify potential metabolic engineering targets for maximization of penicillin production.
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页数:16
相关论文
共 64 条
[1]   Reconstruction of Genome-Scale Active Metabolic Networks for 69 Human Cell Types and 16 Cancer Types Using INIT [J].
Agren, Rasmus ;
Bordel, Sergio ;
Mardinoglu, Adil ;
Pornputtapong, Natapol ;
Nookaew, Intawat ;
Nielsen, Jens .
PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (05)
[2]   Identifying gene targets for the metabolic engineering of lycopene biosynthesis in Escherichia coli [J].
Alper, H ;
Jin, YS ;
Moxley, JF ;
Stephanopoulos, G .
METABOLIC ENGINEERING, 2005, 7 (03) :155-164
[3]   BASIC LOCAL ALIGNMENT SEARCH TOOL [J].
ALTSCHUL, SF ;
GISH, W ;
MILLER, W ;
MYERS, EW ;
LIPMAN, DJ .
JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) :403-410
[4]   Metabolic model integration of the bibliome, genome, metabolome and reactome of Aspergillus niger [J].
Andersen, Mikael Rordam ;
Nielsen, Michael Lynge ;
Nielsen, Jens .
MOLECULAR SYSTEMS BIOLOGY, 2008, 4 (1) :178
[5]   InterPro - an integrated documentation resource for protein families, domains and functional sites [J].
Apweiler, R ;
Attwood, TK ;
Bairoch, A ;
Bateman, A ;
Birney, E ;
Biswas, M ;
Bucher, P ;
Cerutti, L ;
Corpet, F ;
Croning, MDR ;
Durbin, R ;
Falquet, L ;
Fleischmann, W ;
Gouzy, J ;
Hermjakob, H ;
Hulo, N ;
Jonassen, I ;
Kahn, D ;
Kanapin, A ;
Karavidopoulou, Y ;
Lopez, R ;
Marx, B ;
Mulder, NJ ;
Oinn, TM ;
Pagni, M ;
Servant, F ;
Sigrist, CJA ;
Zdobnov, EM .
BIOINFORMATICS, 2000, 16 (12) :1145-1150
[6]   GEM System: automatic prototyping of cell-wide metabolic pathway models from genomes [J].
Arakawa, K ;
Yamada, Y ;
Shinoda, K ;
Nakayama, Y ;
Tomita, M .
BMC BIOINFORMATICS, 2006, 7 (1)
[7]   Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox [J].
Becker, Scott A. ;
Feist, Adam M. ;
Mo, Monica L. ;
Hannum, Gregory ;
Palsson, Bernhard O. ;
Herrgard, Markus J. .
NATURE PROTOCOLS, 2007, 2 (03) :727-738
[8]   Controlling the false discovery rate in behavior genetics research [J].
Benjamini, Y ;
Drai, D ;
Elmer, G ;
Kafkafi, N ;
Golani, I .
BEHAVIOURAL BRAIN RESEARCH, 2001, 125 (1-2) :279-284
[9]   Sampling the Solution Space in Genome-Scale Metabolic Networks Reveals Transcriptional Regulation in Key Enzymes [J].
Bordel, Sergio ;
Agren, Rasmus ;
Nielsen, Jens .
PLOS COMPUTATIONAL BIOLOGY, 2010, 6 (07) :16
[10]   Integration of metabolome data with metabolic networks reveals reporter reactions [J].
Cakir, Tunahan ;
Patil, Kiran Raosaheb ;
Onsan, Zeynep ILsen ;
Ulgen, Kutlu Ozergin ;
Kirdar, Betul ;
Nielsen, Jens .
MOLECULAR SYSTEMS BIOLOGY, 2006, 2 (1)