Microbial genome analysis: the COG approach

被引:222
作者
Galperin, Michael Y. [1 ]
Kristensen, David M. [2 ]
Makarova, Kira S. [3 ]
Wolf, Yuri I. [4 ]
Koonin, Eugene V. [5 ]
机构
[1] NIH, NCBI, Computat Biol Branch, Bethesda, MD USA
[2] Univ Iowa, Dept Biomed Engn, Iowa City, IA USA
[3] NCBI, Computat Biol Branch, Bethesda, MD USA
[4] Natl Ctr Biotechnol Informat, Bethesda, MD USA
[5] NIH, Natl Ctr Biotechnol Informat, Evolutionary Genom Grp, Bethesda, MD USA
基金
美国国家卫生研究院;
关键词
comparative genomics; genome annotation; enzyme evolution; orthologs; paralogs; PROTEIN FAMILY; FUNCTIONAL ANNOTATIONS; ORTHOLOGOUS GROUPS; PROKARYOTIC GENOMES; GENE ONTOLOGY; DATABASE; EVOLUTIONARY; BACTERIAL; ARCHAEAL; CLASSIFICATION;
D O I
10.1093/bib/bbx117
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
For the past 20 years, the Clusters of Orthologous Genes (COG) database had been a popular tool for microbial genome annotation and comparative genomics. Initially created for the purpose of evolutionary classification of protein families, the COG have been used, apart from straightforward functional annotation of sequenced genomes, for such tasks as (i) unification of genome annotation in groups of related organisms; (ii) identification of missing and/or undetected genes in complete microbial genomes; (iii) analysis of genomic neighborhoods, in many cases allowing prediction of novel functional systems; (iv) analysis of metabolic pathways and prediction of alternative forms of enzymes; (v) comparison of organisms by COG functional categories; and (vi) prioritization of targets for structural and functional characterization. Here we review the principles of the COG approach and discuss its key advantages and drawbacks in microbial genome analysis.
引用
收藏
页码:1063 / 1070
页数:8
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