Phylogeny of the Main Bacterial 16S rRNA Sequences in Drentse A Grassland Soils (The Netherlands)

1998 ◽  
Vol 64 (3) ◽  
pp. 871-879 ◽  
Author(s):  
Andreas Felske ◽  
Arthur Wolterink ◽  
Robert Van Lis ◽  
Antoon D. L. Akkermans

ABSTRACT The main bacteria in peaty, acid grassland soils in the Netherlands were investigated by ribosome isolation, temperature gradient gel electrophoresis, hybridization, cloning, and sequencing. Instead of using only 16S rDNA to determine the sequences present, we focused on rRNA to classify and quantify the most active bacteria. After direct ribosome isolation from soil, a partial amplicon of bacterial 16S rRNA was generated by reverse transcription-PCR. The sequence-specific separation by temperature gradient gel electrophoresis yielded soil-specific fingerprints, which were compared to signals from a clone library of genes coding for 16S rRNA. Cloned 16S rDNA sequences matching with intense bands in the fingerprint were sequenced. The relationships of the sequences to those of cultured organisms of known phylogeny were determined. Most of the amplicons originated from organisms closely related to Bacillus species. Such sequences were also detected by direct dot blot hybridization on soil rRNA: a probe specific for Firmicutes with low G+C content counted for about 50% of all bacterial rRNA. The bacterial activity in Drentse A grassland soil could be estimated by direct dot blot hybridization and sequencing of clones; it was found that about 65% of all the bacterial ribosomes originated from Firmicutes. The most active bacteria apparently were Bacillus species, from which about half of the sequences derived. Other sequences similar to those of gram-positive bacteria were only remotely related to known Firmicutes with a high G+C content. Other sequences were related to Proteobacteria, mainly the alpha subclass.

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.


2003 ◽  
Vol 69 (8) ◽  
pp. 4463-4473 ◽  
Author(s):  
I. H. M. Brümmer ◽  
A. Felske ◽  
I. Wagner-Döbler

ABSTRACT The β-subgroup of the Proteobacteria has been shown to be important in aquatic habitats and was investigated in depth here by molecular 16S rRNA techniques in biofilms of the Elbe River and its polluted tributary, the Spittelwasser River. The bacterial 16S rRNA genes were cloned from each site, screened for β-proteobacterial clones and sequenced. River biofilm clones from both rivers grouped into 9 clusters (RBFs). RBFs 1, 2, and 3 fell into the recently described βI cluster of cosmopolitan freshwater bacteria, where they represented new species related to Rhodoferax, Aquaspirillum, and Hydrogenophaga. RBFs 4 to 7 affiliated with Aquabacterium commune, Ideonella dechloratans, and Sphaerotilus natans, respectively. The two remaining RBFs were uncultivated clusters, one of them being distantly related to Gallionella ferruginea. Seasonal changes in the relative intensity of the β-proteobacterial 16S rRNA genes of biofilms harvested monthly for 1 year were determined by specific amplification and separation by temperature gradient gel electrophoresis (TGGE). Bands were identified by comparison of clones to community fingerprints by TGGE. Eight of 13 identified bands were shared by both habitats but showed different relative abundance and seasonal variability in the two rivers, probably caused by differences in temperature and pollutants. The data indicate new not-yet-cultivated clusters of river biofilm organisms, some of them probably distributed globally. They confirm the importance of certain known freshwater genera in river biofilms. The high phylogenetic resolution obtained by clone library analysis combined with the high temporal resolution obtained by TGGE suggest that the observed microdiversity in the river biofilm clone libraries might be caused by phylogenetically closely related microbial populations which are adapted to ecological parameters.


2000 ◽  
Vol 63 (5) ◽  
pp. 659-661 ◽  
Author(s):  
MARISA MANZANO ◽  
LUCA COCOLIN ◽  
CARLO CANTONI ◽  
GIUSEPPE COMI

The development of a rapid method for the identification of Listeria spp. is described. It is based on the polymerase chain reaction amplification of a small fragment from the 16S rRNA gene followed by temperature gradient gel electrophoresis. Forty-five strains of Listeria spp. (Listeria monocytogenes, Listeria innocua, Listeria ivanovii, Listeria seeligeri, and Listeria welshimeri) were used for the optimization of the protocol. No differences were observed between the results of the identification of the strains tested using traditional methods and those obtained by polymerase chain reaction–temperature gradient gel electrophoresis analysis.


1998 ◽  
Vol 64 (10) ◽  
pp. 3854-3859 ◽  
Author(s):  
Erwin G. Zoetendal ◽  
Antoon D. L. Akkermans ◽  
Willem M. De Vos

ABSTRACT The diversity of the predominant bacteria in the human gastrointestinal tract was studied by using 16S rRNA-based approaches. PCR amplicons of the V6 to V8 regions of fecal 16S rRNA and ribosomal DNA (rDNA) were analyzed by temperature gradient gel electrophoresis (TGGE). TGGE of fecal 16S rDNA amplicons from 16 individuals showed different profiles, with some bands in common. Fecal samples from two individuals were monitored over time and showed remarkably stable profiles over a period of at least 6 months. TGGE profiles derived from 16S rRNA and rDNA amplicons showed similar banding patterns. However, the intensities of bands with similar mobilities differed in some cases, indicating a different contribution to the total active fraction of the prominent fecal bacteria. Most 16S rRNA amplicons in the TGGE pattern of one subject were identified by cloning and sequence analysis. Forty-five of the 78 clones matched 15 bands, and 33 clones did not match any visible band in the TGGE pattern. Nested PCR of amplified 16S rDNA indicated preferential amplification of a sequence corresponding to 12 of the 33 nonmatching clones with similar mobilities in TGGE. The sequences matching 15 bands in the TGGE pattern showed 91.5 to 98.7% homology to sequences derived from differentClostridium clusters. Most of these were related to strains derived from the human intestine. The results indicate that the combination of cloning and TGGE analysis of 16S rDNA amplicons is a reliable approach to monitoring different microbial communities in feces.


2003 ◽  
Vol 43 (2) ◽  
pp. 277-286 ◽  
Author(s):  
Melissa A. Fouratt ◽  
Jeremy S. Rhodes ◽  
Charles M. Smithers ◽  
Nancy G. Love ◽  
Ann M. Stevens

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