scholarly journals Physio-chemical characteristics and bacterial diversity in copper mining wastewater based on 16S rRNA gene analysis

2010 ◽  
Vol 9 (46) ◽  
pp. 7891-7899 ◽  
Author(s):  
Islam ud din ◽  
Khan Sardar ◽  
El latif Hesham Abd ◽  
Ahmad Ayaz ◽  
Houbo Su ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Bacterial Diversity ◽  
Gene Analysis ◽  
Copper Mining ◽  
Chemical Characteristics ◽  
Rrna Gene ◽  
16S Rrna Gene Analysis ◽  
Mining Wastewater

scholarly journals Bacterial diversity in suspected prosthetic joint infections: an exploratory study using 16S rRNA gene analysis

2012 ◽  
Vol 65 (2) ◽  
pp. 291-304 ◽  
Author(s):  
Yijuan Xu ◽  
Vibeke Børsholt Rudkjøbing ◽  
Ole Simonsen ◽  
Christian Pedersen ◽  
Jan Lorenzen ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Bacterial Diversity ◽  
Exploratory Study ◽  
Gene Analysis ◽  
Rrna Gene ◽  
16S Rrna Gene Analysis ◽  
Joint Infections ◽  
Prosthetic Joint ◽  
Prosthetic Joint Infections

scholarly journals Clinical Relevance of the Microbiome in Odontogenic Abscesses

Biology ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 916
Author(s):  
Sebastian Böttger ◽  
Silke Zechel-Gran ◽  
Daniel Schmermund ◽  
Philipp Streckbein ◽  
Jan-Falco Wilbrand ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Oral Microbiome ◽  
Molecular Methods ◽  
Gene Analysis ◽  
Rrna Gene ◽  
16S Rrna Gene Analysis ◽  
Cultural Methods ◽  
Odontogenic Abscess ◽  
Polymicrobial Infections

Odontogenic abscesses are usually caused by bacteria of the oral microbiome. However, the diagnostic culture of these bacteria is often prone to errors and sometimes fails completely due to the fastidiousness of the relevant bacterial species. The question arises whether additional pathogen diagnostics using molecular methods provide additional benefits for diagnostics and therapy. Experimental 16S rRNA gene analysis with next-generation sequencing (NGS) and bioinformatics was used to identify the microbiome of the pus in patients with severe odontogenic infections and was compared to the result of standard diagnostic culture. The pus microbiome was determined in 48 hospitalized patients with a severe odontogenic abscess in addition to standard cultural pathogen detection. Cultural detection was possible in 41 (85.42%) of 48 patients, while a pus-microbiome could be determined in all cases. The microbiomes showed polymicrobial infections in 46 (95.83%) cases, while the picture of a mono-infection occurred only twice (4.17%). In most cases, a predominantly anaerobic spectrum with an abundance of bacteria was found in the pus-microbiome, while culture detected mainly Streptococcus, Staphylococcus, and Prevotella spp. The determination of the microbiome of odontogenic abscesses clearly shows a higher number of bacteria and a significantly higher proportion of anaerobes than classical cultural methods. The 16S rRNA gene analysis detects considerably more bacteria than conventional cultural methods, even in culture-negative samples. Molecular methods should be implemented as standards in medical microbiology diagnostics, particularly for the detection of polymicrobial infections with a predominance of anaerobic bacteria.

Composition of Acridid gut bacterial communities as revealed by 16S rRNA gene analysis

2008 ◽  
Vol 97 (3) ◽  
pp. 265-272 ◽  
Author(s):  
R.J. Dillon ◽  
G. Webster ◽  
A.J. Weightman ◽  
V.M. Dillon ◽  
S. Blanford ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Bacterial Communities ◽  
Gene Analysis ◽  
Rrna Gene ◽  
16S Rrna Gene Analysis

scholarly journals True Microbiota Involved in Chronic Lung Infection of Cystic Fibrosis Patients Found by Culturing and 16S rRNA Gene Analysis

2011 ◽  
Vol 49 (12) ◽  
pp. 4352-4355 ◽  
Author(s):  
V. B. Rudkjobing ◽  
T. R. Thomsen ◽  
M. Alhede ◽  
K. N. Kragh ◽  
P. H. Nielsen ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Lung Infection ◽  
Gene Analysis ◽  
Rrna Gene ◽  
16S Rrna Gene Analysis ◽  
Chronic Lung Infection

DNA extraction for 16S rRNA gene analysis to determine genetic diversity in deep sediment communities

1992 ◽  
Vol 100 (1-3) ◽  
pp. 59-65 ◽  
Author(s):  
Paul A. Rochelle ◽  
John C. Fry ◽  
R. John Parkes ◽  
Andrew J. Weightman
Keyword(s):  
Genetic Diversity ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Dna Extraction ◽  
Gene Analysis ◽  
Rrna Gene ◽  
16S Rrna Gene Analysis ◽  
Deep Sediment
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