Biochemical Characterization, 16S rRNA Sequence Analysis and Multiple Sequence Alignment of Bacteria isolated from Fermented and Unfermented Coconut

2015 ◽  
Vol 5 (1) ◽  
pp. 51-61
Author(s):  
Hailu Hailu ◽  
Viktor Abdallah ◽  
Ari Susilowati ◽  
Saleh Raqib ◽  
Ali ALatawi
Keyword(s):  
Sequence Analysis ◽  
16S Rrna ◽  
Sequence Alignment ◽  
Multiple Sequence Alignment ◽  
Biochemical Characterization ◽  
Rrna Sequence ◽  
16S Rrna Sequence ◽  
Multiple Sequence ◽  
16S Rrna Sequence Analysis

scholarly journals Mycobacterium neoaurumBacteremia in a Hemodialysis Patient

2003 ◽  
Vol 14 (1) ◽  
pp. 45-48 ◽  
Author(s):  
Marissa L Becker ◽  
Amar A Suchak ◽  
Joyce N Wolfe ◽  
Ryan Zarychanski ◽  
Amin Kabani ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
16S Rrna ◽  
Hemodialysis Patient ◽  
Immunocompromised Host ◽  
Blood Cultures ◽  
Clinical Suspicion ◽  
Diabetic Woman ◽  
Rrna Sequence ◽  
16S Rrna Sequence ◽  
16S Rrna Sequence Analysis

Bacteremia due toMycobacterium neoaurum, a rapidly growing mycobacterium, is described in a diabetic woman on hemodialysis. This is the first reported case of M neoaurum bacteremia in Canada. The organism initially grew on standard BacT/Alert SA aerobic blood cultures, and was subsequently positively identified using 16S rRNA sequence analysis. The present case serves to reinforce the need for a high index of clinical suspicion of infections caused by unusual microorganisms in the context of an immunocompromised host.

Mycobacterium marinum infections in humans and tracing of its possible environmental sources

2012 ◽  
Vol 58 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Michal Slany ◽  
Petr Jezek ◽  
Vera Fiserova ◽  
Monika Bodnarova ◽  
Jiri Stork ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
16S Rrna ◽  
Correct Diagnosis ◽  
Low Frequency ◽  
Mycobacterium Marinum ◽  
Mycobacterium Fortuitum ◽  
Rrna Sequence ◽  
16S Rrna Sequence ◽  
Mycobacterium Chelonae ◽  
16S Rrna Sequence Analysis

The low frequency of nontuberculous mycobacterial infections, nonspecific symptoms for individual mycobacteria, and the lack of specific identification methods could alter correct diagnosis. This study presents a combined microbiology and molecular-based approach for Mycobacterium marinum detection in four aquarists with cutaneous mycobacterial infection. Simultaneously, ecology screening for M. marinum presence in the aquarists’ fish tanks was performed. A total of 38 mycobacterial isolates originated from four human patients (n = 20), aquarium animals (n = 8), and an aquarium environment (n = 10). Isolate identification was carried out using 16S rRNA sequence analysis. A microbiology-based approach, followed by 16S rRNA sequence analysis, was successfully used for detection of M. marinum in all four patients. Animal and environmental samples were simultaneously examined, and a total of seven mycobacterial species were isolated: Mycobacterium chelonae , Mycobacterium fortuitum , Mycobacterium gordonae , Mycobacterium kansasii , Mycobacterium mantenii , Mycobacterium marinum , and Mycobacterium peregrinum . The presence of M. marinum was proven in the aquarium environments of two patients. Although M. marinum is described as being present in water, it was detected only in fish.

Cleaning and Handling Implements as Potential Reservoirs for Bacterial Contamination of Some Ready-to-Eat Foods in Retail Delicatessen Environments

2007 ◽  
Vol 70 (12) ◽  
pp. 2878-2883 ◽  
Author(s):  
C. A. CHRISTISON ◽  
D. LINDSAY ◽  
A. von HOLY
Keyword(s):  
South Africa ◽  
Sequence Analysis ◽  
16S Rrna ◽  
Rrna Sequence ◽  
Gram Positive ◽  
16S Rrna Sequence ◽  
Bacterial Populations ◽  
16S Rrna Sequence Analysis ◽  
And Staphylococcus Aureus ◽  
Disposable Plastic

This study assessed the association of bacteria with cleaning tools, such as floor mops (n = 25) and cleaning cloths (n = 39), and handling devices, such as disposable plastic gloves (n = 20), used during filled baguette and assorted salad preparation in four selected retail delicatessens in Johannesburg, South Africa. Samples of each cleaning or handling tool were prepared for aerobic (APC), coliform (CC), Escherichia coli (EC), Bacillus cereus (BCC), and Staphylococcus aureus (SAC) counts, as well as tested for the incidence of Listeria monocytogenes (LM) and Salmonella (SALM) by standard plating methods. Bacterial populations attached to the cleaning and handling tools were observed by scanning electron microscopy (SEM). Ten selected gram-positive isolates were further analyzed by 16S rRNA sequence analysis and compared with isolates from filled baguettes and assorted salads. The floor mops consistently yielded the highest APCs, CCs, and ECs (5.7, 4.1, and 3.0 log CFU/g, respectively), while gloves had the lowest corresponding counts (3.6, 2.0, and 1.0 log CFU/g, respectively). Low BCCs and SACs were recorded in this study (ca. 1.2 log CFU/g), while SALM and LM were each detected in five cleaning tool samples. SEM showed rods and cocci attached to handling and cleaning tools. Furthermore, results of 16S rRNA sequence analysis indicated that several gram-positive isolates were identified as S. aureus, Staphylococcus pasteuri, Staphylococcus sciuri, and Enterococcus faecalis. Genetically similar strains (100% similarity) were isolated from cleaning and handling tools and associated ready-to-eat (RTE) foods. Cleaning and handling tools may act as reservoirs of contamination for RTE foods during preparation in retail delicatessens in South Africa. The transfer of potential pathogens, such as S. aureus, to foods from cleaning and handling tools may hold food safety implications.

Haemophilus parainfluenzaeInfective Endocarditis Confirmed by 16S rRNA Sequence Analysis from Culture Negative Tissue

2012 ◽  
Vol 15 (4) ◽  
pp. 139 ◽  
Author(s):  
Kyoung-Jin Park ◽  
Kyung Sun Park ◽  
Soo-Han Choi ◽  
Yae-Jean Kim ◽  
Chang-Seok Ki ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
16S Rrna ◽  
Rrna Sequence ◽  
16S Rrna Sequence ◽  
16S Rrna Sequence Analysis ◽  
Culture Negative
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