Methanotroph community structure and processes in an inland river affected by natural gas macro-seeps

ABSTRACT Methane availability in freshwaters is usually associated with spatial-temporal variation in methanogenesis. Unusually, however, natural gas macro-seeps occur along the Condamine River in eastern Australia which elevate ambient water-column methane concentrations more than 3,000 times. We quantified the spatial-temporal variation in methane oxidation rates and the total microbial and methanotroph community composition (through the amplification and sequencing of 16S rRNA and particulate methane monooxygenase (pmoA) genes), and the factors mediating this variation, in reaches with and without macro-seeps. Sediment methane oxidation rates were, on average, 29 times greater, and the abundance of methanotrophs significantly higher, in the vicinity of methane macro-seeps compared to non-seep sites. Methylocystis was the most abundant methanotroph group at all sites, but type Ib methanotrophs showed the steepest increase in abundance at seep sites. pmoA gene analysis identified these as clade 501, while 16S rRNA gene analysis identified these as the closely related genus Methylocaldum. Sediment methane oxidation rates and the relative abundance and composition of benthic microbial communities were primarily influenced by methane availability which was in turn related to variation in river discharge. Methane-derived carbon may be an important energy source for the aquatic food webs in reaches affected by natural gas macro-seeps.

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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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