Detection of filamentous genus Gordonia in foam samples using genus-specific primers combined with PCR – denaturing gradient gel electrophoresis analysis

2007 ◽  
Vol 53 (6) ◽  
pp. 768-774 ◽  
Author(s):  
Fo-Ting Shen ◽  
Hsuan-Ru Huang ◽  
A.B. Arun ◽  
Hui-Ling Lu ◽  
Ta-Chen Lin ◽  
...  

A nested-PCR amplification combined with denaturing gradient gel electrophoresis (PCR–DGGE) approach was used to detect and identify Gordonia populations from wastewater treatment plant foam samples. The PCR-amplified region (position 722–1119) by specifically designed primers G699F and G1096R covered the hypervariable region of the Gordonia 16S rRNA gene sequence. This approach successfully distinguished Gordonia species to the interspecies level. The differential ability of PCR–DGGE analysis was effectively used to separate 12 Gordonia species belonging to different 16S rRNA gene-based phylogenetic lineages into 8 groups. Based on this method, the minimum limit of Gordonia detection was 5 × 104CFU·g–1in the seeded soil samples. The PCR–DGGE bands obtained were excised and identified by sequence analysis. Gordonia polyisoprenivorans , Gordonia amicalis , DGGE type II Gordonia species, and an uncertain Gordonia species dominated the activated sludge foam samples. Results of this study indicate that the detection and analyses of genus Gordonia within a complex microbial community could be accomplished using the PCR–DGGE approach to a larger extent, with certain limitations. Detection of diverse Gordonia populations in foam samples from wastewater treatment plants revealed the significant role of Gordonia in biological foaming during wastewater treatment. The nested-PCR amplification and DGGE can be used as a diagnostic tool for the early detection of foaming incidents in wastewater treatment plants using Gordonia as indicator organism.

2005 ◽  
Vol 71 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Anne-Ga�lle Le Bourhis ◽  
Katiana Saunier ◽  
Jo�l Dor� ◽  
Jean-Philippe Carlier ◽  
Jean-Fran�ois Chamba ◽  
...  

ABSTRACT A nested-PCR temporal temperature gradient gel electrophoresis (TTGE) approach was developed for the detection of bacteria belonging to phylogenetic cluster I of the genus Clostridium (the largest clostridial group, which represents 25% of the currently cultured clostridial species) in cheese suspected of late blowing. Primers were designed based on the 16S rRNA gene sequence, and the specificity was confirmed in PCRs performed with DNAs from cluster I and non-cluster I species as the templates. TTGE profiles of the PCR products, comprising the V5-V6 region of the 16S rRNA gene, allowed us to distinguish the majority of cluster I species. PCR-TTGE was applied to analyze commercial cheeses with defects. All cheeses gave a signal after nested PCR, and on the basis of band comigration with TTGE profiles of reference strains, all the bands could be assigned to a clostridial species. The direct identification of Clostridium spp. was confirmed by sequencing of excised bands. C. tyrobutyricum and C. beijerinckii contaminated 15 and 14 of the 20 cheese samples tested, respectively, and C. butyricum and C. sporogenes were detected in one cheese sample. Most-probable-number counts and volatile fatty acid were determined for comparison purposes. Results obtained were in agreement, but only two species, C. tyrobutyricum and C. sporogenes, could be isolated by the plating method. In all cheeses with a high amount of butyric acid (>100 mg/100 g), the presence of C. tyrobutyricum DNA was confirmed by PCR-TTGE, suggesting the involvement of this species in butyric acid fermentation. These results demonstrated the efficacy of the PCR-TTGE method to identify Clostridium in cheeses. The sensitivity of the method was estimated to be 100 CFU/g.


2004 ◽  
Vol 70 (11) ◽  
pp. 6920-6926 ◽  
Author(s):  
Laura Villanueva ◽  
Antoni Navarrete ◽  
Jordi Urmeneta ◽  
David C. White ◽  
Ricardo Guerrero

ABSTRACT A combined lipid biomarker-16S rRNA gene denaturing gradient gel electrophoresis analysis was used to monitor changes in the physiological status, biomass, and microbial composition of a microbial mat. In the morning hours, an increase in the biomass of layers containing a high density of phototrophs and a decrease in the growth rate in the deep layers were observed. The combined approach also revealed differences in major groups of microorganisms, including green nonsulfur, gram-positive, and heterotrophic bacteria.


2013 ◽  
Vol 726-731 ◽  
pp. 3680-3684
Author(s):  
Ying Zhang ◽  
Cheng You Cao ◽  
Peng Zhang

The purpose of this study is to assess the application of denaturing gradient gel electrophoresis (DGGE) for analyzing the bacterial and cyanobacterial diversities of biological soil crusts (BSCs) in sandy land. Soil microbial DNA was extracted from BSCs under different plantations in Horqin Sandy Land of Northeast China. 16S rRNA gene fragments from bacteria and cyanobacteria were amplified by universal bacterial and cyanobacteria-specific primers. Fourteen and six prominent bands were detected in the bacterial and cyanobacterial DGGE profiles, respectively. These bands were excised, cloned and sequenced. Phylogenetic analysis classified the bacterial sequences into the following main groups:Escherichia,Bacillus,Paenibacillus,Shigella, andPseudomonas. The cyanobacterial sequences were classified asMicrocoleus,LeptolyngbyaandHaslea. Our study suggests that DGGE is a useful technique for detecting dominant species compositions of bacterial and cyanobacterial communities in biological soil crusts, and specific primers are recommended for PCR of 16S rRNA gene fragments.


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