Title |
Glucerabacter canisensis gen. nov., sp. nov., isolated from dog feces and its effect on the hydrolysis of plant glucosylceramide in the intestine of dogs
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Published in |
Archives of Microbiology, December 2017
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DOI | 10.1007/s00203-017-1463-1 |
Pubmed ID | |
Authors |
Misho Kawata, Ami Tsukamoto, Ryohei Isozaki, Shohei Nobukawa, Natsuki Kawahara, Shoko Akutsu, Masato Suzuki, Narito Asanuma |
Abstract |
A Gram-positive, obligately anaerobic, oval-rod shaped, non-spore-forming, and non-pigmented bacterium, designated strain NATH-2371T (= JCM31739T = DSM105698T), was isolated from dog feces. Comparative 16S rRNA gene sequence analysis revealed that strain NATH-2371T belongs to Clostridium cluster XIVa, and the closest strains were Coprococcus comes ATCC 27758T (94.8% 16S rRNA gene sequence similarity) and Clostridium nexile DSM 1787T (94.0%). Strain NATH-2371T produced acetate, formate, and ethanol from glucose. Predominant cellular fatty acids are C16:0 and C16:0 DMA. On the basis of the phenotypic and genotypic differences, strain NATH-2371T represents a novel species in a new genus of the family Lachnospiraceae, for which the name Glucerabacter canisensis gen. nov., sp. nov., is proposed. This strain was found to efficiently hydrolyze plant glucosylceramide (GluCer). The abundance of strain NATH-2371T in dog feces was higher in young dogs than in old dogs. Incubation of dog fecal bacteria showed that GluCer-hydrolyzing activity decreased with the age of dogs. The cell number of strain NATH-2371T in dog feces appeared to be correlated with GluCer hydrolysis. Thus, this bacterium is likely to play a major role in GluCer hydrolysis in the dog intestine. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 2 | 25% |
Unspecified | 1 | 13% |
Researcher | 1 | 13% |
Student > Postgraduate | 1 | 13% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
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Veterinary Science and Veterinary Medicine | 2 | 25% |
Unspecified | 1 | 13% |
Computer Science | 1 | 13% |
Agricultural and Biological Sciences | 1 | 13% |
Immunology and Microbiology | 1 | 13% |
Other | 0 | 0% |
Unknown | 2 | 25% |