scholarly journals Construction of a DNA database for ticks collected in Japan: application of molecular identification based on the mitochondrial 16S rDNA gene

2014 ◽  
Vol 65 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Ai TAKANO ◽  
Hiromi FUJITA ◽  
Teruki KADOSAKA ◽  
Mamoru TAKAHASHI ◽  
Takeo YAMAUCHI ◽  
...  
Keyword(s):  
16S Rdna ◽  
Molecular Identification ◽  
16S Rdna Gene ◽  
Rdna Gene ◽  
Dna Database ◽  
Mitochondrial 16S Rdna

scholarly journals Molecular Identification of Fusobacterium Isolates and limitation of Biofilm Formation Adhesion Gene (fadA) in Dental Outpatients

2019 ◽  
Vol 16 (4) ◽  
pp. 0843
Author(s):  
Aws Ibrahim Sulaiman
Keyword(s):  
Periodontal Disease ◽  
16S Rdna ◽  
Molecular Identification ◽  
Biofilm Formation ◽  
Bacterial Biofilm ◽  
Gram Negative Bacteria ◽  
Anaerobic Conditions ◽  
16S Rdna Gene ◽  
Gram Negative ◽  
Rdna Gene

 Fusobacterium are compulsory anaerobic gram-negative bacteria, long thin with pointed ends, it causes several illnesses to humans like pocket lesion gingivitis and periodontal disease; therefore our study is constructed on molecular identification and detection of the fadA gene which is responsible for bacterial biofilm formation. In this study, 10.2% Fusobacterium spp. were isolated from pocket lesion gingivitis. The isolates underwent identification depending on several tests under anaerobic conditions and biochemical reactions. All isolates were sensitive to Imipenem (IPM10) 42.7mm/disk, Ciprofloxacin (CIP10) 27.2mm/disk and Erythromycin (E15) 25mm/disk, respectively. 100% of Fusobacterium spp. isolates had 16S rDNA gene (360bp.), whereas two isolates had fadA gene (232bp.)

scholarly journals Effects of Physico-Chemical Parameters on Actinomycetes Communities during Composting of Agricultural Waste

2019 ◽  
Vol 11 (8) ◽  
pp. 2229
Author(s):  
Yuanping Li ◽  
Yanrong Chen ◽  
Yaoning Chen ◽  
Yanxin Wu ◽  
Chun Zhang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Moisture Content ◽  
16S Rdna ◽  
Community Composition ◽  
Agricultural Waste ◽  
Chemical Parameters ◽  
16S Rdna Gene ◽  
Rdna Gene ◽  
Gene Abundance ◽  
Physico Chemical

The objective of this study was to investigate the influence of physico-chemical parameters on Actinomycetes communities and to prioritize those parameters that contributed to Actinomycetes community composition during the composting of agricultural waste. Denaturing gradient gel electrophoresis of polymerase chain reaction (PCR-DGGE) and redundancy analysis (RDA) were used to determine the relationships between those parameters and Actinomycetes community composition. Quantitative PCR (qPCR) and regression analysis were used to monitor the 16S rDNA copy numbers of Actinomycetes and to analyse the correlations between physico-chemical parameters and Actinomyces 16S rDNA gene abundance, respectively. The RDA results showed that moisture content, water soluble carbon (WSC) and pH (p < 0.05) made the main contributions to the temporal variations of Actinomycetes community composition. The output of the regression analysis indicated that moisture content (R2 = 0.407, p < 0.01) showed a negative linear relationship with the Actinomyces 16S rDNA gene abundance.

scholarly journals Identificarion of contaminant bacteria in cachaça yeast by 16s rDNA gene sequencing

2008 ◽  
Vol 65 (5) ◽  
pp. 508-515 ◽  
Author(s):  
Osmar Vaz de Carvalho-Netto ◽  
Daniel Dias Rosa ◽  
Luis Eduardo Aranha Camargo
Keyword(s):  
16S Rdna ◽  
Fermentation Process ◽  
16S Rdna Gene ◽  
Rdna Gene ◽  
Operational Taxonomic Units ◽  
Bacterial Contaminants ◽  
Three Samples ◽  
Two Samples ◽  
Microbiological Control ◽  
One Year

Cachaça is a typical Brazilian liquor produced from the distillation of fermented sugarcane juice mainly by Saccharomyces cerevisiae. Most of the domestic production is artisanal, and producers usually are not concerned regarding microbiological control of the fermentation. This study aimed to characterize the contaminant bacterial community of the yeast used in the production of cachaça in an artisanal still. Four samples were collected, of which one (NA) was used for comparison purposes and was collected one year earlier. The remaining samples were collected at three different periods: at the end of the first day of fermentation (NP), after fifteen days (NS), and thirty days after the same yeast was used (NT). Five hundred and eighty-seven sequences were analyzed from the partial sequencing of the 16S rDNA gene. Sequence analyses revealed the presence of 170 operational taxonomic units (OTUs). Of these, only one was shared among three samples and seventeen were shared between two samples. The remaining 152 OTUs were identified only once in distinct samples indicating that the contaminant bacterial population is highly dynamic along the fermentation process. Statistical analyses revealed differences in bacterial composition among samples. Undescribed species in the literature on yeasts of cachaça were found, such as Weissella cibaria, Leuconostoc citreum, and some species of Lactobacillus, in addition to some unknown bacteria. The community of bacteria in the fermentation process is much more complex than it was previously considered. No previous report is known regarding the use of this technique to determine bacterial contaminants in yeast for the production of cachaça.

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