DGGE fingerprinting of bacteria in soils from eight ecologically different sites around Casey Station,Antarctica

Bacterial community structures in soils collected from eight sites around Casey Station, Antarctica, were investigated using denaturing gradient gel electrophoresis (DGGE) of amplified 16S rRNA gene fragments. Higher bacterial diversity was found in soils from protected or relatively low human-impacted sites in comparison to highly impacted sites. However, the highest diversity was detected in samples from Wilkes Tip, a former waste disposal site that has been undisturbed for the last 50 years. Comparison of community structure based on non-metric multidimensional scaling plots revealed that all sites, except the hydrocarbon-contaminated (oil spill) site, were clustered with a 45% similarity. A total of 23 partial 16S rRNA gene sequences were obtained from the excised DGGE bands, with the majority of the sequences closely related to those of the Cytophaga–Flexibacter–Bacteroides group. No significant correlation was established between environmental variables, including soil pH, electrical conductivity, carbon, nitrogen, water content and heavy metals, with bacterial diversity across the eight study sites.     

Phylogenetic diversity, composition and distribution of bacterioplankton community in the Dongjiang River, China

Bacterioplankton community compositions in the Dongjiang River were characterized using denaturing gradient gel electrophoresis (DGGE) and 16S rRNA gene clone library construction. Water samples in nine different sites were taken along the mainstem and three tributaries. In total, 24 bands from DGGE gels and 406 clones from the libraries were selected and sequenced, subsequently analyzed for the bacterial diversity and composition of those microbial communities. Bacterial 16S rRNA gene sequences from freshwater bacteria exhibited board phylogenetic diversity, including sequences representing the Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Actinobacteria, Bacteriodetes, Verrucomicrobia, and candidate division TM7. Members of Betaproteobacteria group were the most dominant in all sampling sites, followed by Gammaproteobacteria, Alphaproteobacteria, and Actinobacteria. DGGE profiles and the ∫-LIBSHUFF analysis revealed similar patterns of bacterial diversity among most sampling sites, while spatial distribution variances existed in all sites along the river basin. Statistical analysis showed that bacterial species distribution strongly correlated with environmental variables, such as nitrate and ammonia, suggesting that nitrogen nutrients may shape the microbial community structure and composition in the Dongjiang River. This study had important implications for the comparison with other rivers elsewhere and contributed to the growing data set on the factors that structure bacterial communities in freshwater ecosystems.     

Characterization of benthic bacterial assemblages in a polluted stream using denaturing gradient gel electrophoresis

To study differences in bacterial assemblages among sites with different environmental conditions, sediment samples were collected from three sites along a South Carolina (U.S.A.) coastalplain stream with varying levels of anthropogenic perturbation. The objective of this study was to compare the bacterial assemblages among these sites to detect possible impacts from the disturbance. To accomplish this comparison, DNA was extracted from the samples and subjected to the polymerase chain reaction using primers designed to amplify bacterial 16S rRNA genes. Relative measures of bacterial genetic diversity, assessed using denaturing gradient gel electrophoresis (DGGE), revealed greater numbers of unique sequences at the disturbed sites. The number of bands, which is analogous to species richness, did not vary predictably among sites. Similarity indices revealed a high level of similarity among replicate samples from each site and low similarity between samples from different sites. This study demonstrated that bacterial assemblages differed among sites and that the presence or absence of certain species, represented by unique DGGE bands, differed among sites; unique bands were most commonly encountered at the disturbed sites. Based on the evidence gathered, we conclude that benthic bacterial assemblages vary longitudinally and that anthropogenic disturbance may alter the bacterial component of streams.     

Detection and identification of gastrointestinal Lactobacillus species by using denaturing gradient gel electrophoresis and species-specific PCR primers

Denaturing gradient gel electrophoresis (DGGE) of DNA fragments obtained by PCR amplification of the V2-V3 region of the 16S rRNA gene was used to detect the presence of Lactobacillus species in the stomach contents of mice. Lactobacillus isolates cultured from human and porcine gastrointestinal samples were identified to the species level by using a combination of DGGE and species-specific PCR primers that targeted 16S-23S rRNA intergenic spacer region or 16S rRNA gene sequences. The identifications obtained by this approach were confirmed by sequencing the V2-V3 region of the 16S rRNA gene and by a BLAST search of the GenBank database.     

呼伦贝尔草原不同退化梯度土壤细菌多样性季节变化

为了研究草地退化程度与土壤微生物多样性的关系,在呼伦贝尔草地上选取羊草草甸草原和贝加尔针茅草甸草原两个典型放牧点,按照轻度、中度和重度划分取样点,分别于6、8月份和10月份3个不同季节采集土壤样品。应用变性梯度凝胶电泳技术(PCR-DGGE)研究两个放牧地点不同退化程度、不同季节草地的细菌群落结构变化。结果表明,呼伦贝尔草地不同退化梯度的草地土壤中细菌种类较为丰富。从丰富度和Shannon-Winner指数的变化看,两个放牧点8月份丰富度和Shannon-Winner指数最高,8月份的丰富度平均为32.4,比6月和10月份分别高11%和7.4%;8月份Shannon-Winner指数平均为4.15,比6月和10月份分别高7.7%和5.4%。DGGE图谱聚类分析结果显示,随着季节变化和草地退化程度由轻至重的变化,土壤中的细菌优势种群没有受到明显的影响。回收DGGE图谱中10个条带进行测序分析,结果显示,所有序列与GenBank数据库中的相似度在87%100%之间。基于98%的相似度,可将其中的7个鉴定为Proteobacteria(变形菌门),将其中的1个鉴定为Actinobacteria(放线菌门)。另外2个同已知序列相似性较低,可能是未知的细菌。结果表明,Proteobacteria(变形菌门)为呼伦贝尔草原土壤中的优势细菌类群,尽管所选取样点草地植被有不同程度的退化,但土壤微生物优势种群并没有发生变化。     

<Emphasis Type="Italic">Methanobrevibacter</Emphasis> Phylotypes are the Dominant Methanogens in Sheep from Venezuela

Rumen methanogens in sheep from Venezuela were examined using 16S rRNA gene libraries and denaturing gradient gel electrophoresis (DGGE) profiles prepared from pooled and individual PCR products from the rumen contents from 10 animals. A total of 104 clones were examined, revealing 14 different 16S rRNA gene sequences or phylotypes. Of the 14 phylotypes, 13 (99 of 104 clones) belonged to the genus Methanobrevibacter, indicating that the genus Methanobrevibacter is the most dominant component of methanogen populations in sheep in Venezuela. The largest group of clones (41 clones) was 97.9-98.5% similar to Methanobrevibacter gottschalkii. Two sequences were identified as possible new species, one belonging to the genus Methanobrevibacter and the other belonging to the genus Methanobacterium. DGGE analysis of the rumen contents from individual animals also revealed 14 different bands with a range of 4-9 bands per animal.     

Microbial Diversity in High Arsenic Groundwater in Hetao Basin of Inner Mongolia,China

The microbial diversity and community structure in twenty-one groundwater samples from high arsenic shallow aquifers of Hetao Basin, Inner Mongolia, China was investigated with an integrated approach including polymerase chain reaction (PCR)-denaturing gradient gel electrophoresis (DGGE) and 16S rRNA gene phylogenetic analyses. A total of 25 bacterial and 32 archaeal DGGE bands were exercised for sequencing. Phylogenetic analyses showed that the bacterial DGGE bands were dominated by Proteobacteria, and the archaeal bands were dominated by Thaumarchaeota and Euryarchaeota. Based on arsenic concentrations, three samples (corresponding to low, medium, and high level of arsenic, respectively) were selected for construction of 16S rRNA gene clone libraries. A total of 912 (468 and 444 for bacteria and archaea, respectively) 16S rRNA gene clone sequences were obtained and subjected to phylogenetic analyses. The results showed that bacterial communities of these samples were dominated by Acinetobacter, Pseudomonas, Massilia, Dietzia, Planococcus, Brevundimonas, Aquabacterium and Geobacter, and archaeal communities by Nitrosophaera, Thermoprotei and Methanosaeta. The relative abundance of major groups varied as a function of changes in groundwater geochemistry. Acinetobacter, Brevundimonas, Geobacter, Thermoprotei and Methanosaeta dominated in high arsenic samples with high concentrations of methane and Fe(II), and low concentrations of SO^2? ₄ and NO^? ₃, while Pseudomonas and Nitrosophaera were abundant in low arsenic groundwater. These results imply that microbes play an important role in arsenic mobilization in the shallow aquifers of Hetao Basin, Inner Mongolia.     

Detection and Identification of Gastrointestinal Lactobacillus Species by Using Denaturing Gradient Gel Electrophoresis and Species-Specific PCR Primers

Denaturing gradient gel electrophoresis (DGGE) of DNA fragments obtained by PCR amplification of the V2-V3 region of the 16S rRNA gene was used to detect the presence of Lactobacillus species in the stomach contents of mice. Lactobacillus isolates cultured from human and porcine gastrointestinal samples were identified to the species level by using a combination of DGGE and species-specific PCR primers that targeted 16S-23S rRNA intergenic spacer region or 16S rRNA gene sequences. The identifications obtained by this approach were confirmed by sequencing the V2-V3 region of the 16S rRNA gene and by a BLAST search of the GenBank database.     

Detection and characterization of fungal infections of Ammophila arenaria (marram grass) roots by denaturing gradient gel electrophoresis of specifically amplified 18s rDNA.

Marram grass (Ammophila arenaria L.), a sand-stabilizing plant species in coastal dune areas, is affected by a specific pathosystem thought to include both plant-pathogenic fungi and nematodes. To study the fungal component of this pathosystem, we developed a method for the cultivation-independent detection and characterization of fungi infecting plant roots based on denaturing gradient gel electrophoresis (DGGE) of specifically amplified DNA fragments coding for 18S rRNA (rDNA). A nested PCR strategy was employed to amplify a 569-bp region of the 18S rRNA gene, with the addition of a 36-bp GC clamp, from fungal isolates, from roots of test plants infected in the laboratory, and from field samples of marram grass roots from both healthy and degenerating stands from coastal dunes in The Netherlands. PCR products from fungal isolates were subjected to DGGE to examine the variation seen both between different fungal taxa and within a single species. DGGE of the 18S rDNA fragments could resolve species differences from fungi used in this study yet was unable to discriminate between strains of a single species. The 18S rRNA genes from 20 isolates of fungal species previously recovered from A. arenaria roots were cloned and partially sequenced to aid in the interpretation of DGGE data. DGGE patterns recovered from laboratory plants showed that this technique could reliably identify known plant-infecting fungi. Amplification products from field A. arenaria roots also were analyzed by DGGE, and the major bands were excised, reamplified, sequenced, and subjected to phylogenetic analysis. Some recovered 18S rDNA sequences allowed for phylogenetic placement to the genus level, whereas other sequences were not closely related to known fungal 18S rDNA sequences. The molecular data presented here reveal fungal diversity not detected in previous culture-based surveys.     

Development of group-specific PCR-DGGE fingerprinting for monitoring structural changes of Thauera spp. in an industrial wastewater treatment plant responding to operational perturbations

A Thauera-specific nested-PCR denaturing gradient gel electrophoresis (DGGE) method was developed, and its usefulness was demonstrated by monitoring the structural shifts of Thauera spp. in an anaerobic-anoxic-oxic fixed-biofilm coking wastewater treatment plant (WWTP) responding to operational perturbations. The specificity of the PCR method was confirmed by the fact that all 16 S rRNA gene sequences, cloned from the amplicons of a biofilm sample, belonged to Thauera genus. 16 S rRNA gene V3 region was then amplified from the first round Thauera-specific PCR product and applied for DGGE analysis. All Thauera clones, with 13 different V3 regions, migrated into 10 positions on DGGE gel, which demonstrated the high resolution of this DGGE method. When the WWTP experienced a gradual deterioration in chemical oxygen demand (COD) removal function due to a mechanical failure of the recirculation pump, biofilm samples were collected from the reactor and analyzed by this method. Principal component analysis (PCA) of the DGGE fingerprinting data showed that the composition of Thauera group exhibited a time related trajectory when the plant's COD removal rate decreased from 84.1+/-2.7% in the first 4 weeks to less than 75% at week 5 and 6, suggesting a concomitant shift of Thauera composition and the system's COD removal function. This group-specific PCR DGGE fingerprinting technology has the potential to be a profiling tool for monitoring structural shifts of Thauera spp. in industrial WWTPs.     

Two-step denaturing gradient gel electrophoresis (2S-DGGE), a gel-based strategy to capture full-length 16S rRNA gene sequences

Obtaining full-length 16S rRNA gene sequences is important for generating accurate taxonomy assignments of bacteria, which normally is realized via clone library construction. However, the application of clone library has been hindered due to its limitations in sample throughput and in capturing minor populations (<1?% of total microorganisms). To overcome these limitations, a new strategy, two-step denaturing gradient gel electrophoresis (2S-DGGE), is developed to obtain full-length 16S rRNA gene sequences. 2S-DGGE can compare microbial communities based on its first-round DGGE profiles and generate partial 16S rRNA gene sequences (8-534?bp, Escherichia coli numbering). Then, strain-specific primers can be designed based on sequence information of bacteria of interest to PCR amplify their remaining 16S rRNA gene sequences (515-1541?bps, E. coli numbering). The second-round DGGE can confirm DNA sequence purity of these PCR products. Finally, the full-length 16S rRNA gene sequences can be obtained through combining the two partial DNA sequences. By employing 2S-DGGE, taxonomies of a group of dehalogenating bacteria have been assigned based on their full-length 16S rRNA gene sequences, several of which existed in dehalogenating microcosms as minor populations. In all, 2S-DGGE can be utilized as a medium throughput method for taxonomic identification of interested/minor populations from single or multiple microbial consortia.     

Response of 1,2-dichloroethane-adapted microbial communities to ex-situ biostimulation of polluted groundwater

The microbial community of a groundwater system contaminated by 1,2-dichloroethane (1,2-DCA), a toxic and persistent chlorinated hydrocarbon, has been investigated for its response to biostimulation finalized to 1,2-DCA removal by reductive dehalogenation. The microbial population profile of samples from different wells in the aquifer and from microcosms enriched in the laboratory with different organic electron donors was analyzed by ARISA (Amplified Ribosomal Intergenic Spacer Analysis) and DGGE (Denaturing Gradient Gel Electrophoresis) of 16S rRNA genes. 1,2-DCA was completely removed with release of ethene from most of the microcosms supplemented with lactate, acetate plus formate, while cheese whey supported 1,2-DCA dehalogenation only after a lag period. Microbial species richness deduced from ARISA profiles of the microbial community before and after electron donor amendments indicated that the response of the community to biostimulation was heterogeneous and depended on the well from which groundwater was sampled. Sequencing of 16S rRNA genes separated by DGGE indicated the presence of bacteria previously associated with soils and groundwater polluted by halogenated hydrocarbons or present in consortia active in the removal of these compounds. A PCR assay specific for Desulfitobacterium sp. showed the enrichment of this genus in some of the microcosms. The dehalogenation potential of the microbial community was confirmed by the amplification of dehalogenase-related sequences from the most active microcosms. Cloning and sequencing of PCR products indicated the presence in the metagenome of the bacterial community of a new dehalogenase potentially involved in 1,2-DCA reductive dechlorination.     

Diversity in methane enrichments from agricultural soil revealed by DGGE separation of PCR amplified 16S rDNA fragments

Denaturing gradient gel electrophoresis (DGGE) profiles of PCR amplified V3 regions of 16S rRNA genes were used to assess the diversity in enrichment cultures with methane as the only carbon and energy source. The enrichments originated from two agricultural soils. One was a sandy soil with low (10%) organic content, the other an organic soil with approximately 50% organic content. DGGE provided a fast evaluation of the distribution of amplifiable sequence types indicating that specific bacterial populations had been enriched from each soil. The DGGE profiles revealed a broader range of amplified V3 fragments in the community derived from organic soil than from sandy soil. Fragments from 19 individual DGGE bands were sequenced and compared with 27 previously published 16S rRNA gene sequences. The sequences confirmed the high diversity with the presence of different methylotrophic populations in each enrichment. No affiliation was found with type I methanotrophs, instead type II methanotroph sequences were found in the enrichments from both soil types. Some of the fragments from the organic soil enrichment were not affiliated with methylotrophs. Most of the sequences clustered distantly on a branch within the α-Proteobacteria. These facts suggested that previously undescribed methylotrophs are abundant in methane enrichments from agricultural soil.     

Response of 1,2-dichloroethane-adapted microbial communities to ex-situ biostimulation of polluted groundwater

The microbial community of a groundwater system contaminated by 1,2-dichloroethane (1,2-DCA), a toxic and persistent chlorinated hydrocarbon, has been investigated for its response to biostimulation finalized to 1,2-DCA removal by reductive dehalogenation. The microbial population profile of samples from different wells in the aquifer and from microcosms enriched in the laboratory with different organic electron donors was analyzed by ARISA (Amplified Ribosomal Intergenic Spacer Analysis) and DGGE (Denaturing Gradient Gel Electrophoresis) of 16S rRNA genes. 1,2-DCA was completely removed with release of ethene from most of the microcosms supplemented with lactate, acetate plus formate, while cheese whey supported 1,2-DCA dehalogenation only after a lag period. Microbial species richness deduced from ARISA profiles of the microbial community before and after electron donor amendments indicated that the response of the community to biostimulation was heterogeneous and depended on the well from which groundwater was sampled. Sequencing of 16S rRNA genes separated by DGGE indicated the presence of bacteria previously associated with soils and groundwater polluted by halogenated hydrocarbons or present in consortia active in the removal of these compounds. A PCR assay specific for Desulfitobacterium sp. showed the enrichment of this genus in some of the microcosms. The dehalogenation potential of the microbial community was confirmed by the amplification of dehalogenase-related sequences from the most active microcosms. Cloning and sequencing of PCR products indicated the presence in the metagenome of the bacterial community of a new dehalogenase potentially involved in 1,2-DCA reductive dechlorination.     

PCR/DGGE and 16S rRNA gene library analysis of the colonic microbiota of HLA-B27/beta2-microglobulin transgenic rats

AIMS: To determine the phylogenetic composition of the colonic microbiota of transgenic (TG) HLA-B27 rats using 16S ribosomal RNA (rRNA) gene sequences obtained from denaturing gradient gel electrophoresis (DGGE) gels and sequences from a 16S rRNA gene library. METHODS AND RESULTS: Colonic microbiota of TG and nontransgenic (NT) rats harboured by 10-week-old and 6-month-old animals was screened using PCR/DGGE. Six months old TG rats had marked inflammation of the colon compared with 10-week-old TG and NT rats. The DGGE profiles of rats with inflamed colon were similar from rat to rat (Dice's Similarity Coefficient proximal colon 73%, distal colon 83%) whereas profiles from animals without inflammation were dissimilar (52-64%). Identifications of bacterial origins of 16S rRNA gene sequences obtained from DGGE gels (200 bp) and from 16S rRNA clones (450 bp) of the colonic microbiota of diseased rats gave sequences most closely phylogenetically affiliated with uncultured or unknown bacteria. CONCLUSIONS: PCR/DGGE was shown to be an effective method to compare the colonic microbiota composition of TG and NT rats relative to the progression of inflammatory disease. Sequencing of 16S rRNA gene fragments from DGGE gels or 16S rRNA gene clones from a random library showed that uncultured or unknown bacteria were most commonly detected by both methods. It can be concluded that it would be better in future studies to search for the antigens produced by the gut microbiota against which the dysfunctional immune system reacts rather than seek phylogenetic associations. SIGNIFICANCE AND IMPACT OF THE STUDY: PCR/DGGE can be used as a rapid initial screening method to compare the composition of bacterial communities of initially unknown composition that are associated with the development of intestinal disease.     

16S ribosomal RNA-based methods to monitor changes in the hindgut bacterial community of piglets after oral administration of Lactobacillus sobrius S1

16S ribosomal RNA (rRNA) gene based PCR/denaturing gradient gel electrophoresis (DGGE) and real-time PCR were used to monitor the changes in the composition of microbiota in the hindgut of piglets after oral administration of Lactobacillus sobrius S1. Six litters of neonatal piglets were divided randomly into control group and treatment group. At 7, 9, and 11 days of age, piglets in the treatment group orally received a preparation of L. sobrius S1. At 7, 14, 21(weaning), 24, and 35 days of age, one piglet from each litter was sacrificed and digesta samples of hindgut were collected. DGGE analysis of 16S rRNA gene V6-V8 region for all bacteria showed that several populations present in the hindgut of piglets, represented by far-migrating bands, disappeared after weaning. Most of these bands corresponded to Lactobacillus spp. as revealed by sequence analysis. Quantitative real-time PCR specific for lactobacilli further demonstrated that the number of lactobacilli population tended to decrease after the piglets were weaned. Drastic changes of L. amylovorus and L. sobrius in total Lactobacillus populations were also observed in the colon of piglets around weaning, as monitored by 16S rRNA gene V2-V3 region based Lactobacillus-specific PCR-DGGE. Species-specific real-time PCR also revealed that the population of L. sobrius declined apparently in the colon of piglets after weaning. No remarkable changes in the overall microbial community in the hindgut were found between control and treatment groups. However, comparison of DGGE profiles between the two groups revealed a specific band related to Clostridium disporicum that was found in treatment group on day 14. On day 35, a specific band appeared only in the control group, representing a population most closely related to Streptococcus suis (99%). Real-time PCR showed that L. sobrius 16S rRNA gene copies in treatment group were relatively higher than in the control group (10(8.45) vs. 10(6.83)) on day 35, but no significant difference was observed between the two groups.     

Use of rpoB and 16S rRNA genes to analyse bacterial diversity of a tropical soil using PCR and DGGE

AIM: To evaluate the rpoB gene as a biomarker for PCR-DGGE microbial analyses using soil DNA from the Cerrado, Brazil. METHODS: DNA extraction from soil was followed by Polymerase Chain Reaction (PCR) amplification of rpoB and 16S rRNA genes. PCR products were compared by Denaturing Gradient Gel Electrophoresis (DGGE) to compare gene/community profiles. RESULTS: The rpoB DGGE profiles comprised fewer bands than the 16S rDNA profiles and were easier to delineate and therefore to analyse. Comparison of the community profiles revealed that the methods were complementary. CONCLUSIONS, SIGNIFICANCE AND IMPACT OF THE STUDY: The gene for the beta subunit of the RNA polymerase, rpoB, is a single copy gene unlike 16S rDNA. Multiple copies of 16S rRNA genes in bacterial genomes complicate diversity assessments made from DGGE profiles. Using the rpoB gene offers a better alternative to the commonly used 16S rRNA gene for microbial community analyses based on DGGE.