Restriction maps were constructed of enzymically amplified 16S rRNA genes (rDNA) isolated from eight Clostridium species. Using maximum parsimony, a dendrogram was constructed from these and published 16S rRNA sequence data. Two distinct clusters were identified: cluster I contained C. difficile, C. sordelli, and C. bifermentans, and showed 30 of 35 restriction sites in common; cluster II contained C. tetani, C. perfringens C. sporogenes and C. botulinum C and G, and showed 20 of 35 restriction sites in common. Further analysis of cluster I organisms revealed that of five HpaII fragments, two were found in equal amounts in all organisms, one was found in varying amounts in all organisms, and two were found, in varying amounts, only in C. sordelli and C. bifermentans. C. sordelli-specific and C. bifermentans-specific HpaII fragments were demonstrated by Southern hybridization of rDNA. One HpaII site within the rDNA was present on most alleles in C. bifermentans, present on a minority of alleles in C. sordelli and absent in C. difficile. This suggested that there were two 16S rRNA alleles with different sequences present within each of the genomes of C. bifermentans and C. sordelli.
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http://dx.doi.org/10.1099/00221287-137-11-2673 | DOI Listing |
Front Immunol
January 2025
Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Introduction: The gut microbiota plays a pivotal role in influencing host health, through the production of metabolites and other key signalling molecules. While the impact of specific metabolites or taxa on host cells is well-documented, the broader impact of a disrupted microbiota on immune homeostasis is less understood, which is particularly important in the context of the increasing overuse of antibiotics.
Methods: Female C57BL/6 mice were gavaged twice daily for four weeks with Vancomycin, Polymyxin B, or PBS (control).
Front Immunol
January 2025
Faculty of Life and Biotechnology, Kunming University of Science and Technology, Kunming, China.
Background: Dysbiosis of the lung microbiome can contribute to the initiation and progression of lung cancer. Synchronous multiple primary lung cancer (sMPLC) is an increasingly recognized subtype of lung cancer characterized by high morbidity, difficulties in early detection, poor prognosis, and substantial clinical challenges. However, the relationship between sMPLC pathogenesis and changes in the lung microbiome remains unclear.
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January 2025
Department of Rheumatology and Clinical Immunology, Kobe University Graduate School of Medicine, Kobe, Japan.
Objective: We aimed to evaluate microbiome and microbiota-derived C18 dietary polyunsaturated fatty acids (PUFAs), such as conjugated linoleic acid (CLA), and to investigate their differences that correlate with arthritis severity in collagen-induced arthritis (CIA) mice.
Methods: On day 84 after induction, during the chronic phase of arthritis, cecal samples were analyzed using 16S rRNA sequencing, and plasma and cecal digesta were evaluated using liquid chromatography-tandem mass spectrometry. Differences in microbial composition between 10 control (Ctrl) and 29 CIA mice or between the mild and severe subgroups based on arthritis scores were identified.
PeerJ
January 2025
Department of Animal Science, University of Tennessee-Knoxville, Knoxville, TN-Tennessee, United States.
Bovine respiratory disease (BRD) is one of the most common economic and health challenges to the beef cattle industry. Prophylactic use of antimicrobial drugs can alter the microbial communities in the respiratory tract. Considering that the bovine upper respiratory tract microbiome has been associated with generalized health, understanding the microenvironment that influences this microbiome may provide insights into the pathogenesis of BRD.
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January 2025
Department of Dental Materials, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China.
Background: Periodontitis is not always satisfactorily treated with conventional scaling and root planing, and adjunctive use of antibiotics is required in clinical practice. Therefore, it is important for clinicians to understand the diversity and the antibiotic resistance of subgingival microbiota when exposed to different antibiotics.
Materials And Methods: In this study, subgingival plaques were collected from 10 periodontitis patients and 11 periodontally healthy volunteers, and their microbiota response to selective pressure of four antibiotics (amoxicillin, metronidazole, clindamycin, and tetracycline) were evaluated through 16S rRNA gene amplicon and metagenomic sequencing analysis.
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