Morphological, biochemical and molecular genetic studies were performed on an unknown, anaerobic, rod-shaped organism isolated from faeces of a canine. The organism was tentatively identified as a member of the genus Clostridium based on its cellular morphology and ability to form endospores but, biochemically, it did not appear to correspond to any recognized species of this genus. Comparative 16S rRNA gene sequence analysis showed that the bacterium represents a previously unrecognized subline within Clostridium rRNA group I (Clostridium sensu stricto), which includes Clostridium butyricum, the type species of the genus. The nearest phylogenetic relatives of the unknown bacterium corresponded to Clostridium absonum, Clostridium baratii, Eubacterium budayi, Eubacterium moniliforme, Eubacterium multiforme and Eubacterium nitritogenes, but 16S rRNA sequence divergence values of > 3% demonstrated that it represents a novel species. Based on the findings presented, a novel species, Clostridium colicanis sp. nov., is described, with the type strain 3WC2T (=CCUG 44556T =DSM 13634T).
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http://dx.doi.org/10.1099/ijs.0.02260-0 | DOI Listing |
Bioresour Technol
January 2025
Department of Science of Technology Innovation, Nagaoka University of Technology, Niigata 940-2188, Japan; Department of Civil and Environmental Engineering, Nagaoka University of Technology, Niigata 940-2188, Japan.
Anaerobic treatment of tapioca wastewater has a long processing time. This study aims to evaluate ethanol fermentation as an effective treatment of tapioca wastewater. Simulated tapioca wastewater with an average chemical oxygen demand (COD) of 6900 mg L was treated in a four-column anaerobic baffled reactor for 300 d.
View Article and Find Full Text PDFMany gram-positive bacteria like and species, exhibit a growing chain-mediated sliding motility that is driven entirely by the force of cell growth. Particularly, the bacteria maintain cell-cell linkage after cell division and form long chains of many cells. The cells in a chain are continuously pushed outward by the mechanical force of cell growth.
View Article and Find Full Text PDFChina CDC Wkly
January 2025
Department of Clinical Laboratory, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China.
Introduction: Type F () represents a significant pathogen in human gastrointestinal diseases, primarily through its gene encoding enterotoxin (CPE). This investigation examined the prevalence, antimicrobial resistance patterns, and genetic characteristics of Type F within the Chinese population.
Methods: The study analyzed 2,068 stool samples collected from 11 provincial hospitals in 2024.
J Ultrasound
January 2025
Argentinian Critical Care Ultrasonography Association (ASARUC), Buenos Aires, Argentina.
Hepatic gas gangrene (HGG) is a rare but life-threatening condition typically caused by anaerobic bacteria such as Clostridium perfringens, though Gram-negative bacteria like Escherichia coli and Klebsiella species have also been implicated. Traditionally diagnosed via computed tomography (CT), point-of-care ultrasound (POCUS) has emerged as a valuable tool in critical care settings for its non-invasive, bedside utility. We report the case of a 51-year-old female with choledochal syndrome secondary to cholangiocarcinoma who developed HGG following left extended hepatectomy and biliary reconstruction.
View Article and Find Full Text PDFComput Biol Med
January 2025
National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India. Electronic address:
The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.
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