• Journal of Animal Science and Technology
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• v.62 no.2
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• pp.239-246
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• 2020

Microorganism residing in the gut has been known to have important roles in the animal body. Microbes and host microenvironment are highly related with host's health including energy metabolism and immune system. Moreover, it reported that gut microbiome is correlated with diseases like obesity in human and dogs. There have been many studies to identify and characterize microbes and their genes in human body. However, there was little information of microbiome in companion animals. Here, we investigated microbiota communities in feaces from twenty - four Beagles (aged 2 years old) and analyzed the taxonomy profile using metagenomics to study the difference among gut microbiome based on body condition score (BCS). gDNA was isolated from feaces, sequenced and clustered. Taxonomy profiling was performed based on the NCBI database. BCS was evaluated once a week according to the description provided by World Small Animal Veterinary Association. Firmicutes phylum was the most abundant followed by Bacteroidetes, Fusobacteria, Proteobacteria and Actinobacteria. That main microbiota in gut were differently distributed based on the BCS. Fusobacteria has been known to be associated with colon cancer in human. Interestingly, Fusobacteria was in the third level from the top in healthy dog's gut microbiome. In addition, Fusobacteria was especially higher in overweight dogs which had 6 scales of BCS. Species Fusobacterium perfoetens was also more abundant when dogs were in BCS 6. It implied that F. perfoetens would be positively related with overweight in dogs. These finding would contribute to further studies of gut microbiome and their functions to improve dog's diets and health condition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.141-147
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• 2017

In this study, a meta-analysis of fecal bacteria in dogs was conducted using 16S rRNA gene sequences that have been recovered from cloning and Sanger sequencing. For this meta-analysis, we retrieved all 16S rRNA gene sequences recovered from fecal bacteria in dogs in the RDP database (Release 11, Update 3). A total of 420 sequences were identified from the RDP database, 42 of which were also recovered from cultured isolates. The 420 sequences were assigned to five phyla, of which Firmicutes was the most predominant phylum, accounting for 55.2% of all 420 sequences. Bacteroidetes was the second most predominant phylum, accounting for 32.1% of the 420 sequences, followed by Actinobacteria (6.4%), Fusobacteria (3.8%), and Proteobacteria (2.4%). The genus Bacteroides within Bacteroidetes was the largest, representing 30.0% of all 420 sequences, while the putative genus Clostridium XI within Firmicutes was the second largest, representing 27.4% of all 420 sequences. A total of 82 operational taxonomic units (OTUs) that are putative species were identified from the retrieved sequences. The results of this study will improve understanding of the diversity of fecal bacteria in dogs and guide future studies on the health and well-being of dogs.

• Korean Journal of Microbiology
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• v.49 no.3
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• pp.237-244
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• 2013

Bacterial diversities in the guts of sea cucumbers (Apostichopus japonicus) and shrimps (Litopenaeus vannamei) were investigated using barcoded or tag-encoded 454 pyrosequencing of 16S rRNA genes. In sea cucumbers, most of sequences were related to two genera, the genus Propionigenium in the phylum Fusobacteria and an unclassified genus in the family Flavobacteriaceae of phylum Bacteroidetes. Shrimps showed various kinds of genera including Lactococcus, Leuconostoc, Prochlorococcus, and Vibrio as well as the unclassified genera in the families, Flavobacteriaceae, Rhodobacteraceae, Desulfobulbaceae, and Helicobacteraceae and in the order Mycoplasmatales. Unclassified genera containing environmental sequences only are more than half of genera from sea cucumbers and shrimps. Sea cucumbers and shrimps could be unexplored sources of novel microbes and the bacterial diversity of them was revealed by high throughput 454 pyrosequencing.

• 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.

• Korean Journal of Veterinary Research
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• v.55 no.3
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• pp.205-208
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• 2015

Ten dogs were enrolled in this study: two healthy dogs, two obese dogs without other medical issues and six obese dogs with underlying diseases including pemphigus, chronic active hepatitis, hyperadrenocorticism, narcolepsy, otitis media and heartworm infection. Pyrosequencing of the 16S rRNA gene to explore the gut bacterial diversity revealed that distal gut bacterial communities of samples from patients with pemphigus, otitis media and narcolepsy consisted primarily of Firmicutes, while the major phylum of the distal gut bacterial communities in patients with chronic active hepatitis and hyperadrenocorticism was Fusobacteria. Proteobacteria were the dominant phylum in heartworm infected obese patients.

• IMMUNE NETWORK
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• v.20 no.4
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• pp.30.1-30.10
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• 2020

Systemic infections due to Fusobacterium may originate in the tonsillar/internal jugular veins or from the abdomen. We encountered a patient who presented with bacteremia, fulminant septic shock, and extensive soft tissue pyogenic infection due to Fusobacterium necrophorum. In addition, there was widespread metastatic colon cancer with the unique finding of pre-mortem co-localization of F. necrophorum and cancer cells at a site distant from the colon. We reviewed the literature of the association of F. necrophorum and colon cancer, and discuss the evidence of how each of these 2 distinct entities may mutually augment the development or progression of the other.

• Korean Journal of Microbiology
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• v.47 no.1
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• pp.56-65
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• 2011

Culture-independent microscopic observations and 16S rDNA analyses were applied to describe the bacterial community inherent to the biofilm structure of the RABC (Rotating Activated Bacillus Contactors) process for swine butchery wastewater treatment. The ratios of Gram-positive bacterial counts to total bacterial counts of the RABC process were significantly increased in the last aeration tank as well as returned sludge, while those of the existing A2O (Anaerobic-Anoxic-Oxic) process maintained constant from aeration tanks to returned sludge. Totally nine phyla were recovered by 16S rDNA analysis, two of which were major groups: the Proteobacteria (64.1%) and the Actinobacteria (18.4%). The third major group was the endospore-forming Firmicutes (5.4%). The remaining six minor groups are the Bacteroidetes (3.3%), the Chlorobi (2.2%), the Nitrospirae (1.1%), the Chlorofleix (1.1%), the Acidobacteria (1.1%), and the Fusobacteria (1.1%). The ratio of endospore-forming bacteria was 19.4%, which was composed of the members of the Firmicutes phylum (5.4%) and the Intrasporangiaceae family (14.0%) of the Actinobacteria phylum. Nitrifying and denitrifying related- and phosphorus accumulating related-sequences were composed of 6.5% and 5.4% of total community, respectively, these could mean the high capacity of the RABC process to remove odor compounds and reduce eutrophication by efficient removing inorganic nutrients.

• Journal of Microbiology and Biotechnology
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• v.29 no.12
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• pp.1947-1956
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• 2019

The gut microbiome influences the health and well-being of dogs. However, little is known about the impact of breed on the fecal microbiome composition in dogs. Therefore, we aimed to investigate the differences in the fecal microbiome in three breeds of dog fed and housed under the same conditions, namely eight Maltese (8.0 ± 0.1 years), eight Miniature Schnauzer (8.0 ± 0.0 years), and nine Poodle dogs (8.0 ± 0.0 years). Fresh fecal samples were collected from the dogs and used to extract metagenomic DNA. The composition of the fecal microbiome was evaluated by 16S rRNA gene amplicon sequencing on the MiSeq platform. A total of 840,501 sequences were obtained from the 25 fecal samples and classified as Firmicutes (32.3-97.3% of the total sequences), Bacteroidetes (0.1-62.6%), Actinobacteria (0.2-14.7%), Fusobacteria (0.0-5.7%), and Proteobacteria (0.0-5.1%). The relative abundance of Firmicutes was significantly lower in the Maltese dog breed than that in the other two breeds, while that of Fusobacteria was significantly higher in the Maltese than in the Miniature Schnauzer breed. At the genus level, the relative abundance of Streptococcus, Fusobacterium, Turicibacter, Succinivibrio, and Anaerobiospirillum differed significantly among the three dog breeds. These genera had no correlation with age, diet, sex, body weight, vaccination history, or parasite protection history. Within a breed, some of these genera had a correlation with at least one blood chemistry value. This study indicates that the composition of the fecal microbiome in dogs is affected by breed.

• Journal of Korean Medicine for Obesity Research
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• v.19 no.2
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• pp.97-105
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• 2019

Objectives: We investigated differences between the tracheostomized and the non-tracheostomized stroke patients through microbiological analysis for the purpose of preliminary explorations of full-scale clinical research in the future. Methods: We collected tracheal aspirates samples from 5 stroke patients with tracheostomy and expectorated sputum samples from 5 stroke patients without tracheostomy. Genomic DNA from sputum samples was isolated using QIAamp DNA mini kit. The sequences were processed using Quantitative Insights into Microbial Ecology 1.9.0. Alpha-diversity was calculated using the Chao1 estimator. Beta-diversity was analyzed by UniFrac-based principal coordinates analysis (PCoA). To confirm taxa with different abundance among the groups, linear discriminant analysis effect size analysis was performed. Results: Although alpha-diversity value of the tracheostomized group was higher than that of the non-tracheostomized group, there was no statistically significant difference. In PCoA, clear separation was seen between clusters of the tracheostomized group and that of the non-tracheostomized group. In both groups, Bacteroidetes, Proteobacteria, Fusobacteria, Firmicutes, Actinobacteria were identified as dominant in phylum level. In particular, relative richness of Proteobacteria was found to be 31% more in the tracheotomized group (36.6%) than the non-tracheostomized group (5.6%)(P<0.05). In genus level, Neisseria (24%), Prevotella (17%), Streptococcus (13%), Fusobacteria (11%), Porphyromonas (7%) were identified as dominant in the tracheostomized group. In the non-tracheostomized group, Prevotella (38%), Veillonella (20%), Neisseria (9%) were genera that found to be dominant. Conclusions: It is meaningful in that the tracheostomized group has been identified a higher rate of microbiotas known as pathogenic in respiratory diseases compared to the non-tracheostomized group, confirming the possibility that the risk of opportunity infection may be higher.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.24 no.1
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• pp.30-37
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• 2021

Purpose: To investigate the differences in the colon microbiota composition of Hirschsprung's disease (HSCR) patients with and without a history of postoperative Hirschsprung's associated enterocolitis (HAEC). Methods: Colon tissue microbiota was characterized by bacterial deoxyribonucleic acid (DNA) extraction and 16S rDNA sequencing for taxonomic classification and comparison. Results: The sequence diversity richness within samples was significantly higher in samples from patients with a history of postoperative HAEC. We observed an increased relative abundance of the phyla Bacteroidetes, Firmicutes and Cyanobacteria in HAEC patients and Fusobacteria, Actinobacteria and Proteobacteria in HSCR patients and, an increased relative abundance of the genera Dolosigranulum, Roseouria and Streptococcus in HAEC patients and Propionibacterium and Delftia in HSCR patients. Conclusion: Our findings provide evidence that the colon tissue microbiota composition is different in HSCR patients with and without postoperative HAEC.