• Microbiology and Biotechnology Letters
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• v.43 no.1
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• pp.65-78
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• 2015

The bacterial diversity of the rhizosphere soil of S. japonica native to Suncheon bay was analyzed. Ninety two strains showing different morphological characteristics were isolated from the soils around the community of S. japonica. Bacterial diversity and distributions were studied by phylogenetic analysis of the partial 16S rDNA sequences. Ninety two strains were partially sequenced and analyzed phylogenetically. These strains were composed of 5 phyla firmicutes (56.5%), gamma-proteobacteria (29.3%), alpha-proteobacteria (5.4%), actinobacteria (5.4%), bacteroidetes (3.3%) and Shannon’s diversity index (H') were different from each of sampling sites (1.675, 1.924 and 2.04). Eleven isolates were presumed to be novel species candidates based on similarity analysis of the 16s rRNA gene sequences. Overall, Firmicutes and gamma-proteobacteria of the rhizosphere soil of S. japonica showed a high diversity.

• Korean Journal of Microbiology
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• v.37 no.2
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• pp.137-144
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• 2001

In order to investigate the diversity of bacterial community in the mud flat of Sunchon Bay, Chunnam province, diversity of amplified 16S rDNA was examined. Total DNA was extracted from sediment soils and 16S rDNAs were amplified using PCR primers based on the universally conserved sequences in bacteria. Clonal libraries were constructed and 111 clones were examined by amplified rDNA restriction analysis (ARDRA) using HaeIII. Clones were clustered based on restriction patterns using computer program, GelCompar II. One hundred different RFLP types were detected from 111 clones. The 20 clones were selected and sequenced according to dendrograms derived from ARDRA, to cover most of the bacterial diversity in the clone libraries. None of the clones were identical to any representatives in the Ribosomal Database Project small subunit RNA databases and GenBank. All sequences showed between 77 and 96.8% similarity to the known 16s rRNA sequence from cultured organisms. The 20 clones sequenced fell into seven major lineages of the domain Bacteria: alpha-, delta-, gamma-Proteobacteria, low G+C Gram positive bacteria, high G+C Gram positive bacteria, Sphingobacteria (Cytophaga) and Cyanobacteria (chloroplast). Among the clones, the Proteobacteria were dominant.

• Microbiology and Biotechnology Letters
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• v.34 no.2
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• pp.166-173
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• 2006

This research has been performed to clarify the relationship between hydrogeochemistry and bacterial community structure in groundwater contaminated with landfill leachate. We collected and analyzed samples from 5 sites such as leachate (KSG1-12), treated leachate (KSG1-16), two contaminated groundwaters (KSG1-07 and KSG1-08) and non-contaminated groundwater (KSG1-13). pH was 8.83, 8.04, 6.87, 6.87 and 6.53 in order; redox potential (Eh) 108, 202, 47, 200 and 154 mV; electric conductivity (EC) 3710, 894, 1223, 559 and 169.9 $\mu$S/cm; suspended solids (SS) 86.45, 13.74, 4.18, 0.24 and 11.91 mg/L. In KSG01-12, the ion concentrations were higher especially in $Cl^-$ and $HCO_3^-$ than other sites. The concentrations of Fe, Mn and $SO_4^{2-}$ were higher In KSG1-07 than in KSG1-08, and vise versa in $NO_3^{2-}$. In the comparison of DGGE fingerprint patterns, the similarity was highest between KSG1-13 and KSG1-16 (57.2%), probably due to common properties like low or none contaminant concentrations. Otherwise KSG1-08 showed lowest similarities with KSG1-13 (25.8%) and KSG1-12 (27.6%), maybe because of the degree of contamination. The most dominant bacterial species in each site were involved in $\alpha$-Proteobacteria (55.6%) in KSG1-12, $\gamma$-Proteobacteria (50.0%) in KSG1-16, $\beta$-Proteobacteria (66.7%) in KSG1-07, $\gamma$-Proteobacteria (54.5%) in KSG1-08 and $\beta$-Proteobacteria (36.4%) in KSG1-13. These results indicate that the microbial community structure might be changed according to the flow of leachate in grounderwater, implying changes in concentrations of pollutants, available electron accepters and/or other environmental conditions.

• Journal of Environmental Science International
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• v.10 no.3
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• pp.239-245
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• 2001

This research was performed to investigate the dynamics of microbial community by RBC (Rotating Biological Contactor) using Rhodococcus sp. EL-GT and activated sludge. Cell counts revealed by DAPI were compared with culturable bacterial counts from nutrient agar. Colony counts on nutrient agar gave values 20~25% and 1~15% of cell counts (DAPI). The cell counts for the dynamics of bacterial community were determined by combination of in situ hybridization with fluorescently-labelled oligonyucleotide probes and epifluorescence microscopy. Around 90~80% of total cells visualized DAPI were also detected by the bacteria probe EUB 338. For both reactors proteobacteria belonging to the gamma subclass were dominant in the first stage (1 and 2 stage) and proteobacteria belonging to the gamma subclass were dominant in the last stage (3 and 4 stage).

• Journal of Korean Society of Environmental Engineers
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• v.35 no.7
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• pp.503-508
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• 2013

The aim of this study was to investigate the microbial communities in animal carcass disposal soils to examine the possible threat of pathogens from leachate. DNA extraction was performed for the soils in three carcass disposal sites located in Gyeonggi-do, Korea, and then 16S rRNA pyrosequencing was conducted to identify the microbial communities. Results indicate that, according to phylum classification, Proteobacteria (100%) was identified in soil A, Actinobacteria (66.4%) > Proteobacteria (31.1%) > Bacteriodetes (2.1%) > Acidobacteria (0.3%) in soil B, and Actinobacteria (63.1%) > Proteobacteria (36.9%) in soil C. According to genus classification, Pseudomonas was dominant in soil A (98%), Arthrobacter in soil B (68%) and C (61%). There were no detections of pathogens such as Salmonella, Campylobacter and Clostridium perfringens. However, high concentration of Ralstonia pickettii causing bacteremia was observed. Although carcass disposal soils examined in this study were not highly contaminated with pathogens, further monitoring is still needed to examine the potential threat of pathogens in leachate derived from carcass disposal sites.

• Korean Journal of Organic Agriculture
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• v.28 no.2
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• pp.235-250
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• 2020

Agricultural practices are known to have a crucial influence not only on soil physico-chemical properties but also on microbial communities. To investigate the effect of farming practices on soil microbial communities, a total of 10 soil samples were collected, including five conventional and five organic farming soils cultivated with peppers in plastic greenhouse. We conducted barcorded-pyrosequencing of V1-V3 regions of 16S rRNA genes to examine soil microbial communities of two different farming practices. Taxonomic classification of the microbial communities at the phylum level indicated that a total of 22 bacterial phyla were present across all samples. Among them, seven abundant phyla (>3%) including Proteobacteria, Actinobacteria, Firmicutes, Acidobacteria, Bacteroidetes, Chloroflexi, and Gemmatimonadetes were found, and Proteobacteria (33.0 ± 5.7%), Actinobacteria (19.9 ± 9.7%), and Firmicutes (13.6 ± 5.0%) comprised more than 66% of the relative abundance of the microbial communities. Organic farming soils showed higher relative abundances of Proteobacteria and Firmicutes, while Actinobacteria and Chloroflexi were more abundant in conventional farming soils. Notably, the genera Bacillus (higher in organic farming soils) and Streptomyces (higher in conventional farming soils) exhibited significant variation in relative abundance between organic and conventional farming soils. Finally, correlation analysis identified significant relationships (p<0.05) between soil chemical properties, in particular, pH and organic matter content and microbial communities. Taken together, this study demonstrated that the changes of soil physico-chemical properties by agricultural farming practices effected significantly (p<0.05) on soil microbial communities.

• Journal of Life Science
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• v.25 no.3
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• pp.323-328
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• 2015

The study of microbial diversity and richness in soil samples from a volcanic island named Ulleungdo, located east of South Korea. The soil bacterial communities on the Ulleungdo were analyzed using pyrosequencing method based on 16S rRNA gene. There were 1,613 operational taxonomic units (OUT) form soil sample. From results of a BLASTN search against the EzTaxon-e database, the validated reads (obtained after sequence preprocessing) were almost all classified at the phylum level. Proteobacteria was the most dominant phylum with 48.28%, followed by acidobacteria (26.30%), actionbacteria (6.89%), Chloroflexi (4.58), Planctomycetes (4.56%), Nitrospirae (1.83%), Bacteroidetes (1.51%), Verrucomicrobia (1.48%), and Gemmatimonadetes (1.11%). α-proteobacteria was the most dominant class with 36.07% followed by Acidobacteria_c (10.65%), Solibacteres (10.64%), δ-proteobacteria (4.42%), γ-proteobacteria (4.29%), Planctomycetacia (4.16%), Actinobacteria_c (4.00%), Betaproteobacteria (3.50%), EU686603_c (2.97%), Ktedonobacteria (2.91%), Acidimicrobiia (1.32%), Verrucomicrobiae (1.27%), Gemmatimonadetes_c (1.11%), Sphingobacteria (1.09%), and GU444092_c (1.06%). Bradyrhizobiaceae was the most dominant family with 22.83% followed by Acidobacteriaceae (10.62%), EU445199_f (5.72%), Planctomycetaceae (4.03%), Solibacteraceae (3.63%), FM209092_f (3.58%), Steroidobacter_f (2.81%), EU686603_f (2.73%), Hyphomicrobiaceae (2.33%), Ktedonobacteraceae (1.75%), AF498716_f (1.46%), Rhizomicrobium_f (1.03%), and Mycobacteriaceae (1.01%). Differences in the diversity of bacterial communities have more to do with geography than the impact on environmental factors and also the type of vegetation seems to affect the diversity of bacterial communities.

• Journal of Life Science
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• v.25 no.2
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• pp.189-196
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• 2015

Bacterial diversity was studied in the rhizosphere of Suaeda japonica Makino, which is native to Suncheon Bay in South Korea. Soil samples from several sites were diluted serially, and pure isolation was performed by subculture using marine agar and tryptic soy agar media. Genomic DNA was extracted from 29 pure, isolated bacterial strains, after which their 16S rDNA sequences were amplified and analyzed. Phylogenetic analysis was performed to confirm their genetic relationship. The 29 bacterial strains were classified into five groups: phylum Firmicutes (44.8%), Gamma proteobacteria group (27.6%), Alpha proteobacteria group (10.3%), phylum Bacteriodetes (10.3%), and phylum Actinobacteria (6.8%). The most widely distributed genera were Bacillus (phylum Firmicutes), and Marinobacterium, Halomonas, and Vibrio (Gamma proteobacteria group). To confirm the bacterial diversity in rhizospheres of S. japonica, the diversity index was used at the genus level. The results show that bacterial diversity differed at each of the sampling sites. These 29 bacterial strains are thought to play a major role in material cycling at Suncheon Bay, in overcoming the sea/mud flat-specific environmental stress. Furthermore, some strains are assumed to be involved in a positive interaction with the halophyte S. japonica, as rhizospheric flora, with induction of growth promotion and plant defense mechanism.

• Environmental Engineering Research
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• v.14 no.1
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• pp.19-25
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• 2009

In this study, total bacteria, enteric members of the $\gamma$-proteobacteria, and microbial communities in seawater were analyzed as indirect indicators for quantifying biofouling. Biomass in seawater can significantly affect feed water pretreatment and membrane biofouling of reverse osmosis desalination processes. The purpose of this paper is to investigate microbiological quantity and quality of seawater at the potential intake of a desalination plant. For this analysis, the total direct cell count (TDC) using 4'-6-diamidino-2-phenylindole (DAPI)-staining and DNA-based real-time PCR were used to quantify the total bacteria and relative content of enteric members of $\gamma$-proteobacteria in seawater, respectively. In addition, microbial communities were examined using 16S rRNA gene cloning and bacterial isolation to identify the most abundant bacteria for a further biofouling study. The experimental results of this study identified about $10^6$ cells/mL of (total) bacteria, $10^5$ 16S rRNA gene copies/mL of enteric $\gamma$-proteobacteria, and the presence of more than 20 groups of bacteria.

• Microbiology and Biotechnology Letters
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• v.44 no.1
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• pp.84-88
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• 2016

In this study, bacterial diversity in the living room and bathroom of a residential environment was analyzed using the pyrosequencing method. There was no difference in the diversity index of bacteria between the 2 rooms; however, differences were noted in the composition of bacteria. The classes ${\beta}$-Proteobacteria and ${\delta}$-Proteobacteria were found in the bathroom at higher abundances than in the living room. The phyla Acidobacteria, Chlorobi, Chloroflexi, Fusobacteria, Nitrospirae, and Planctomycetes were found in the bathroom, but not in the living room, indicating a broader range of bacteria. However, the living room showed a more diverse range of bacterial genera than the bathroom did. In both the living room and the bathroom, the genus Methylobacterium was dominant.