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Quantitative Biology

ISSN 2095-4689

ISSN 2095-4697(Online)

CN 10-1028/TM

邮发代号 80-971

Quantitative Biology  2013, Vol. 1 Issue (3): 192-200   https://doi.org/10.1007/s40484-013-0019-x
  MINI REVIEW 本期目录
Automated interpretation of metabolic capacity from genome and metagenome sequences
Automated interpretation of metabolic capacity from genome and metagenome sequences
Minoru Kanehisa()
Institute for Chemical Research, Kyoto University, Uji Kyoto 611-0011, Japan
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Abstract

The KEGG pathway maps are widely used as a reference data set for inferring high-level functions of the organism or the ecosystem from its genome or metagenome sequence data. The KEGG modules, which are tighter functional units often corresponding to subpathways in the KEGG pathway maps, are designed for better automation of genome interpretation. Each KEGG module is represented by a simple Boolean expression of KEGG Orthology (KO) identifiers (K numbers), enabling automatic evaluation of the completeness of genes in the genome. Here we focus on metabolic functions and introduce reaction modules for improving annotation and signature modules for inferring metabolic capacity. We also describe how genome annotation is performed in KEGG using the manually created KO database and the computationally generated SSDB database. The resulting KEGG GENES database with KO (K number) annotation is a reference sequence database to be compared for automated annotation and interpretation of newly determined genomes.

Key wordsmetabolic pathway    functional module    genome annotation    genome interpretation    KEGG database
收稿日期: 2013-08-15      出版日期: 2013-09-05
Corresponding Author(s): Kanehisa Minoru,Email:kanehisa@kuicr.kyoto-u.ac.jp   
 引用本文:   
. Automated interpretation of metabolic capacity from genome and metagenome sequences[J]. Quantitative Biology, 2013, 1(3): 192-200.
Minoru Kanehisa. Automated interpretation of metabolic capacity from genome and metagenome sequences. Quant Biol, 2013, 1(3): 192-200.
 链接本文:  
https://academic.hep.com.cn/qb/CN/10.1007/s40484-013-0019-x
https://academic.hep.com.cn/qb/CN/Y2013/V1/I3/192
Fig.1  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
ModulePathwayOrganism groupSynthaseDehydrataseDehydrogenase
M00433LysineFungiK01655 (LYS21)K17450 (ACO2)K01705 (LYS4)K05824 (LYS12)
M00433LysineGreen non-sulfur bacteriaDeinococcus-ThermusK01655 (LYS21)K16792 (aksD) + K16793 (aksE)K05824 (LYS12)
M00608Lysine,Coenzyme BMethanogenic archaeaK10977(aksA)K16792 (aksD) + K16793 (aksE)K10978 (aksF)
M00432LeucinePyrococcusK01649 (leuA)K01703 (leuC) + K01704 (leuD)K00052 (leuB)K10978 (aksF)
Tab.1  
Metabolic capacitySignature moduleDefinition
Carbon fixation in plants and cyanobacteria(M00161,M00163) + M00165M00161 Photosystem IIM00163 Photosystem IM00165 Reductive pentose phosphate cycle (Calvin cycle)
Carbon fixation in alphaproteobacteriaM00597+ M00165M00597 Anoxygenic photosystem IIM00165 Reductive pentose phosphate cycle (Calvin cycle)
Carbon fixation in green nonsulfur bacteriaM00597+ M00376M00597 Anoxygenic photosystem IIM00376 3-Hydroxypropionate bi-cycle
Carbon fixation in green sulfur bacteriaM00598+ M00161M00598 Anoxygenic photosystem IM00173 Reductive citrate cycle (Arnon-Buchanan cycle)
Nitrate assimilation(K02575,M00438) + M00531K02575 MFS transporter, NNP family, nitrate/nitrite transporterM00438 ABC transporter, nitrate/nitrite transport systemM00531 Assimilatory nitrate reduction, nitrate=>ammonia
Sulfate assimilation(K14708,M00185) + M00176K14708 SLC family 26, sodium-independent sulfate transporterM00185 ABC transporter, sulfate transport systemM00176 Assimilatory sulfate reduction, sulfate=>H2S
MethanogenesisM00567,M00357,M00356,M00563M00567 Methanogenesis, CO2=>methaneM00357 Methanogenesis, acetate=>methaneM00356 Methanogenesis, methanol=>methaneM00563 Methanogenesis, methylamine=>methane
AcetogenesisM00377+ M00579M00377 Reductive acetyl-CoA pathway (Wood-Ljungdahl pathway)M00579 Phosphate acetyltransferase-acetate kinase pathway
Tab.2  
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