Characterization by 16S rRNA gene analysis and in situ hybridization of bacteria living in the hindgut of a deposit-feeding echinoid (Echinodermata)

The hindgut caecum of the deposit-feeding echinoid Echinocardium cordatum harbours a symbiotic bacterial microflora, organized into layered mats around detrital particles owing to the proliferation of filamentous bacteria. The bacterial community was analysed using 16S rRNA gene analysis and fluorescence in situ hybridization. The purpose was to characterize its biodiversity and to identify its predominant members. The majority of the 16S sequences belong to the δ-Proteobacteria (61.5%), the Bacteroidetes and the Firmicutes constitute the two other main bacterial groups (respectively 23.1% and 15.4%). A total of 41% of the δ-Proteobacteria clones isolated belong to a bacterium of the genus Desulfonema for which a specific oligonucleotide probe was designed, enabling identification of its distribution in the nodules.

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Evidence of Multiple Treponema Phylotypes Involved in Bovine Digital Dermatitis as Shown by 16S rRNA Gene Analysis and Fluorescence In Situ Hybridization

Journal of Clinical Microbiology ◽

10.1128/jcm.00670-08 ◽

2008 ◽

Vol 46 (9) ◽

pp. 3012-3020 ◽

Cited By ~ 75

Author(s):

K. Klitgaard ◽

M. Boye ◽

N. Capion ◽

T. K. Jensen

Keyword(s):

In Situ Hybridization ◽

16S Rrna ◽

16S Rrna Gene ◽

Fluorescence In Situ Hybridization ◽

Gene Analysis ◽

Rrna Gene ◽

Digital Dermatitis ◽

16S Rrna Gene Analysis

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Human Isolates of Large Colony-Forming β Hemolytic Group G Streptococci form a Distinct Clade upon 16S rRNA Gene Analysis

Streptococci and the Host - Advances in Experimental Medicine and Biology ◽

10.1007/978-1-4899-1825-3_87 ◽

1997 ◽

pp. 363-365 ◽

Cited By ~ 3

Author(s):

Norbert Schnitzler ◽

Gerhard Haase ◽

Andreas Podbielski ◽

Achim Kaufhold ◽

Christoph Lämmler ◽

...

Keyword(s):

16S Rrna ◽

16S Rrna Gene ◽

Gene Analysis ◽

Rrna Gene ◽

16S Rrna Gene Analysis ◽

Group G Streptococci ◽

Large Colony

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Resource Development and Investigation of Novel Species from Unidentified Pathogens in NCCP using MALDI-TOF MS and 16S rRNA Gene Analysis

Journal of Bacteriology and Virology ◽

10.4167/jbv.2016.46.4.201 ◽

2016 ◽

Vol 46 (4) ◽

pp. 201

Author(s):

Won Seon Yu ◽

Kyeong Min Lee ◽

Kyu Jam Hwang

Keyword(s):

16S Rrna ◽

16S Rrna Gene ◽

Novel Species ◽

Resource Development ◽

Gene Analysis ◽

Rrna Gene ◽

16S Rrna Gene Analysis ◽

Maldi Tof Ms ◽

Maldi Tof ◽

Tof Ms

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Clinical Relevance of the Microbiome in Odontogenic Abscesses

Biology ◽

10.3390/biology10090916 ◽

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.

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