• Korean Journal of Microbiology
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• v.55 no.1
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• pp.83-85
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• 2019

Pseudomonas sp. PAMC 29040 was isolated from a maritime tundra soil in Antarctica for its ability to degrade lignin and subsequently confirmed to be able to depolymerize heterogeneous humic substance (HS), a main component of soil organic matter. The draft genome sequences of PAMC 29040 were analyzed to discover the putative genes for depolymerization of polymeric HS (e.g., dye-decolorizing peroxidase) and catabolic degradation of HS-derived small aromatics (e.g., vanillate O-demethylase). The information on degradative genes will be used to finally propose the HS degradation pathway(s) of soil bacteria inhabiting cold environments.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.27-32
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• 2005

As a large quantity of Genome sequencing has happened to be done a very much a surprising speed in short period, an automatic genome annotation process has become prerequisite. The most difficult process among with this kind of genome annotation works is to finding out the protein-coding genes within a genome. The main 2 subjects of gene prediction are Eukaryotes and Prokaryotes ; their genes have different structures, therefore, their gene prediction methods will also obviously varies. Until now, it is found that among of the 231 genome sequenced species, 200 have been found to be prokaryotes, therefore, for study of biotechnology studies, through comparative genomics, prokaryotes, rather than eukaryotes could may be more appropriate than eukaryotes. Even more, prokaryotes does not have the gene structure called an intron, so it makes the gene prediction easier. Former prokaryotes gene predictions have been shown to be 80%～ to 90% of accuracy. A recent study is aiming at 100% of gene prediction accuracy. In this paper, especially in the case of the E. coli K-12 and S. typhi genomes, gene prediction accuracy which showed 98.5% and 98.7% was more efficient than previous GLIMMER.

• Korean Journal of Microbiology
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• v.54 no.2
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• pp.161-163
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• 2018

The genome of Flavivirga eckloniae $ECD14^T$ isolated from a seaweed Ecklonia cava was sequenced. The genome comprises a single circular 5,665,358 bp chromosome with a G + C content of 33.9%, 4,647 total genes, 4,595 protein-coding genes, 44 pseudo genes, and 52 RNA genes. CRISPER genes and sequences were not found and there were some phage remnants and transposons. This strain contains alginate lyase and ${\beta}$-glucosidase genes responsible for the degradation of seaweed polysaccharides.

• Korean Journal of Microbiology
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• v.54 no.3
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• pp.299-301
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• 2018

Microbulbifer agarilyticus GP101 was isolated from the gut of a marine invertebrate Turbo cornutus and capable of degrading polysaccharide such as agar, alginate, and ${\kappa}$-carrageenan constituting algal cell wall. To obtain genomic basis of polysaccharide-degrading activity, we sequenced genome of strain GP101. The genome consists of 4,255,625 bp, 3,458 coding sequences with 55.4% G + C contents. BLASTP search revealed the presence of seven agarases, five alginate lyases, ten glucanases, four chitinases, two xylanases, one ${\kappa}$-carrageenase, and one laminarinase. The genomic data of strain GP101 will provide potential uses in the bioconversion process of diverse polysaccharide into bioenergy and biochemicals.

• Korean Journal of Microbiology
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• v.54 no.1
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• pp.74-76
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• 2018

Recently, Fusobacterium nucleatum subsp. vincentii was reclassified as Fusobacterium vincentii based on the average nucleotide identity and genome-to-genome distance analyses. F. vincentii is a Gram-negative, anaerobic, and filament-shaped bacterium. F. vincentii is a member of normal flora of human oral cavity and plays a role in periodontal diseases. F. vincentii KCOM 2931 was isolated from a periodontitis lesion. Here, we present the complete genome sequence of F. vincentii KCOM 2931.

• Korean Journal of Microbiology
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• v.54 no.1
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• pp.71-73
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• 2018

Recently, Fusobacterium nucleatum subsp. polymorphum was reclassified as Fusobacterium polymorphum based on the average nucleotide identity and genome-to-genome distance analyses. F. polymorphum is a Gram-negative, anaerobic, and filament-shaped bacterium. F. polymorphum is a part of normal flora of oral cavity and causative agent of periodontal diseases. F. polymorphum KCOM 1001 (= ChDC F119) was isolated from a human subgingival plaque of gingivitis lesion. Here, we present the complete genome sequence of F. polymorphum KCOM 1001.

• Korean Journal of Microbiology
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• v.53 no.4
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• pp.323-325
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• 2017

Pectobacterium carotovorum subsp. actinidiae KKH3 is an Enterobacteriaceae bacterial pathogen that infects kiwi plants, causing canker-like symptoms that pose a threat to the kiwifruit industry. Because the strain was originally isolated from woody plants and possesses numerous plant cell wall-degrading enzymes, this draft genome report provides insight into possible bioconversion applications, as well as a better understanding of this important plant pathogen.

• Korean Journal of Microbiology
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• v.54 no.4
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• pp.474-476
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• 2018

Methicillin resistant Staphylococcus epidermidis Z0117SE0041 was isolated from nasal mucosa of human who raised companion dog. The complete genome of strain Z0117SE0041 consists of a 2.5 Mb chromosome and three circular plasmids with about 47, 36, and 11 kb in size, respectively. Since strain Z0117SE0041 raises concerns due to its potential to cause a disease and disseminate antibiotic resistance, further genome analysis is required in detail.

• Korean Journal of Microbiology
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• v.55 no.2
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• pp.160-163
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• 2019

Senegalimassilia sp. KGMB 04484 was isolated from fecal samples obtained from a healthy Korean. The whole-genome sequence of Senegalimassilia sp. KGMB 04484 was analyzed using the PacBio Sequel platform. The genome comprises a 2,748,041 bp chromosome with a G+C content of 61.18%, 2,300 total genes, 2,139 protein-coding gene, 21 rRNA genes, and 51 tRNA genes. Also, we found that strain KGMB 04484 had some genes for hydrolysis enzyme, fatty acid biosynthesis and metabolism in its genome based on the result of genome analysis. Those genes of KGMB 04484 may be related to regulation of human health and digest.

• Korean Journal of Microbiology
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• v.39 no.2
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• pp.67-75
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• 2003

One large topic in comparative genomics is to predict functional annotation by classifying protein sequences. Computational approaches for function prediction include protein structure prediction, sequence alignment and domain prediction or binding site prediction. This paper is on another computational approach searching for sets of homologous sequences from sequence similarity graph. Methods based on similarity graph do not need previous knowledges about sequences, but largely depend on the researcher's subjective threshold settings. In this paper, we propose a genome sequence clustering method of iterative testing and graph decomposition, and a simple method to calculate a strict threshold having biochemical meaning. Proposed method was applied to known bacterial genome sequences and the result was shown with the BAG algorithm's. Result clusters are lacking some completeness, but the confidence level is very high and the method does not need user-defined thresholds.