Succession of bacterial community structure along the Changjiang River determined by denaturing gradient gel electrophoresis and clone library analysis

Bacterial community structure along the Changjiang River (which is more than 2,500 km long) was studied by using denaturing gradient gel electrophoresis (DGGE) and clone library analysis of PCR-amplified 16S ribosomal DNA (rDNA) with universal bacterial primer sets. DGGE profiles and principal-component analysis (PCA) demonstrated that the bacterial community gradually changed from upstream to downstream in both 1998 and 1999. Bacterial diversity, as determined by the Shannon index (H'), gradually decreased from upstream to downstream. The PCA plots revealed that the differences in the bacterial communities among riverine stations were not appreciable compared with the differences in two adjacent lakes, Lake Dongting and Lake Poyang. The relative stability of the bacterial communities at the riverine stations was probably due to the buffering action of the large amount of water flowing down the river. Clone library analysis of 16S rDNA revealed that the dominant bacterial groups changed from beta-proteobacteria and the Cytophaga-Flexibacter-Bacteroides group upstream to high-G+C-content gram-positive bacteria downstream and also that the bacterial community structure differed among the stations in the river and the lakes. The results obtained in this study should provide a reference for future changes caused by construction of the Three Gorges Dam.     

Microbial community analysis in crab ponds by denaturing gradient gel electrophoresis

In order to investigate the role of microbial community in aquatic ecology and biogeochemical cycles, the bacterial community in crab ponds was investigated and the effects of aeration and season on the bacterial community were also assessed. Total DNAs from the water samples were amplified with universal primers and the amplicons were then resolved by denaturing gradient gel electrophoresis. Bands from the resulting profiles were excised and sequenced. Cluster analysis of the resulting profiles showed that the microbial community was affected by aeration and season. The microbial community between the surface and bottom of the water was very similar. A total of fifteen bands were obtained in this study. Three of them were 91–99% similar to uncultured bacterium clones. Three were 95–99% similar to uncultured Verrucomicrobia bacteria. Three were 97–100% similar to Actinobacterium sp.. Two were similar to Candidatus Limnoluna rubra with similarity 96 and 99%, respectively. Four were 99% similar to Rhodococcus sp., 100% similar to Sporosarcina sp., 100% similar to Stenotrophomonas sp., and 98% similar to Hydrogenophaga sp., respectively. The concentrations of dissolved oxygen, total nitrogen, total phosphorous, nitrite, and ammonia and pH values were significantly affected by season while only the pH value and the concentrations of dissolved oxygen and total nitrogen were significantly affected by aeration.     

Polymerase chain reaction-denaturing gradient gel electrophoresis analysis of bacterial community structure in the food,intestines, and feces of earthworms

The bacterial communities in the food, intestines, and feces of earthworms were investigated by PCR-denaturing Gradient gel electrophoresis (DGGE). In this study, PCR-DGGE was optimized by testing 6 universal primer sets for microbial 16S rRNA in 6 pure culture strains of intestinal microbes in earthworms. One primer set effectively amplified 16S rRNA from bacterial populations that were found in the food, intestines, and feces of earthworms. Compared with the reference markers from the pure culture strains, the resulting DGGE profiles contained 28 unique DNA fragments. The dominant microorganisms in the food, intestines, and feces of earthworms included Rhodobacterales bacterium, Fusobacteria, Ferrimonas marina, Aeromonas popoffii, and soil bacteria. Other straisn, such as Acinetobacter, Clostridium, and Veillonella, as well as rumen bacteria and uncultured bacteria also were present. These results demonstrated that PCR-DGGE analysis can be used to elucidate bacterial diversity and identify unculturable microorganisms.     

Electrophoresis time impacts the denaturing gradient gel electrophoresis-based assessment of bacterial community structure

We investigated the impact of denaturing gradient gel electrophoresis (DGGE) run time on the assessment of bacterial community structure. Results indicated that increased electrophoresis run time (while maintaining 1000 volt-hours) resulted in dissimilar profiles, likely due to instability of the denaturing gradient. We recommend that DGGE run times be minimized to provide optimal band resolution, as extended electrophoresis times can greatly impact subsequent band-based analyses.     

Dinoflagellate community analysis of a fish kill using denaturing gradient gel electrophoresis

A molecular method using the polymerase chain reaction (PCR) amplification of small subunit gene sequences (18S rDNA) and denaturing gradient gel electrophoresis (DGGE) was used to determine both the population complexity and species identification of organisms in harmful algal blooms. Eighteen laboratory cultures of dinoflagellates, including Akashiwo, Gymnodinium, Heterocapsa, Karenia, Karlodinium, Pfiesteria, and Pfiesteria-like species were analyzed using dinoflagellate-specific oligonucleotide primers and DGGE. The method is sensitive and able to determine the number of species in a sample, as well as the taxonomic identity of each species, and is particularly useful in detecting differences between species of the same genus, as well as differences between morphologically similar species. Using this method, each of eight Pfiesteria-like species was verified as being clonal isolates of Pfiesteria piscicida. The sensitivity of dinoflagellate DGGE is approximately 1000 cells/ml, which is 100-fold less sensitive than real-time PCR. However, the advantage of DGGE lies in its ability to analyze dinoflagellate community structure without needing to know what is there, while real-time PCR provides much higher sensitivity and detection levels, if probes exist for the species of interest, attributes that complement DGGE analysis. In a blinded test, dinoflagellate DGGE was used to analyze two environmental fish kill samples whose species composition had been previously determined by other analyses. DGGE correctly identified the dominant species in these samples as Karlodinium micrum and Heterocapsa rotundata, proving the efficacy of this method on environmental samples. Toxin analysis of a clonal isolate obtained from the fish kill samples confirmed the presence of KmTx2, corroborating the earlier genetic identification of toxic K. micrum in the fish kill water sample.     

Vertical distribution of bacterial community structure in the sediments of two eutrophic lakes revealed by denaturing gradient gel electrophoresis (DGGE) and multivariate analysis techniques

Vertical distribution of bacterial community structure was investigated in the sediments of two eutrophic lakes of China, Lake Taihu and Lake Xuanwu. Profiles of bacterial communities were generated using a molecular fingerprinting technique, denaturing gradient gel electrophoresis (DGGE) followed by DNA sequence analysis, and the results were interpreted with multivariate statistical analysis. To assess changes in the genetic diversity of bacterial communities with changing depth, DGGE banding patterns were analysed by cluster analysis. Distinct clusters were recognized in different sampling stations of Lake Taihu. Canonical correspondence analysis (CCA) was carried out to infer the relationship between environmental variables and bacterial community structure. DGGE samples collected at the same sampling site clustered together in both lakes. Total phosphorus, organic matter and pH were considered to be the key factors driving the changes in bacterial community composition.     

Monitoring of microbial community structure and succession in the biohydrogen production reactor by denaturing gradient gel electrophoresis (DGGE)

To study the structure of microbial communities in the biological hydrogen production reactor and determine the ecological function of hydrogen producing bacteria, anaerobic sludge was obtained from the continuous stirred tank reactor (CSTR) in different periods of time, and the diversity and dynamics of microbial communities were investigated by denaturing gradient gel electrophoresis (DGGE). The results of DGGE demonstrated that an obvious shift of microbial population happened from the beginning of star-up to the 28th day, and the ethanol type fermentation was established. After 28 days the structure of microbial community became stable, and the climax community was formed. Comparative analysis of 16S rDNA sequences from reamplifying and sequencing the prominent bands indicated that the dominant population belonged to low G+C Gram-positive bacteria (Clostridium sp. andEthanologenbacterium sp.), β-proteobacteria (Acidovorax sp.), γ-proteobacteria (Kluyvera sp.), Bacteroides (uncultured bacterium SJA-168), and Spirochaetes (uncultured eubacterium E1-K13), respectively. The hydrogen production rate increased obviously with the increase ofEthanologenbacterium sp.,Clostridium sp. and uncultured Spirochaetes after 21 days, meanwhile the succession of ethanol type fermentation was formed. Throughout the succession the microbial diversity increased however it decreased after 21 days. Some types ofClostridium sp.Acidovorax sp.,Kluyvera sp., and Bacteroides were dominant populations during all periods of time. These special populations were essential for the construction of climax community. Hydrogen production efficiency was dependent on both hydrogen producing bacteria and other populations. It implied that the cometabolism of microbial community played a great role of biohydrogen production in the reactors.     

The structure of the bacterial and archaeal community in a biogas digester as revealed by denaturing gradient gel electrophoresis and 16S rDNA sequencing analysis

Aims:  To identify the bacterial and archaeal composition in a mesophilic biogas digester treating pig manure and to compare the consistency of two 16S rDNA-based methods to investigate the microbial structure.
Methods and results:  Sixty-nine bacterial operational taxonomic units (OTU) and 25 archaeal OTU were identified by sequencing two 16S rDNA clone libraries. Most bacterial OTU were identified as phyla of Firmicutes (47·2% of total clones), Bacteroides (35·4%) and Spirochaetes (13·2%). Methanoculleus bourgensis (29·0%), Methanosarcina barkeri (27·4%) and Methanospirillum hungatei (10·8%) were the dominant methanogens. Only 9% of bacterial and 20% of archaeal OTU matched cultured isolates at a similarity index of ≥97%. About 78% of the dominant bacterial (with abundance >3%) and 83% of archaeal OTU were recovered from the denaturing gradient gel electrophoresis (DGGE) bands of V3 regions in 16S rDNAs.
Conclusions:  In the digester, most bacterial and archaeal species were uncultured; bacteria belonging to Firmicutes , Bacteroides and Spirochaetes seem to take charge of cellulolysis, proteolysis, acidogenesis, sulfur-reducing and homoacetogenesis; the most methanogens were typical hydrogenotrophic or hydrogenotrophic/aceticlastic; DGGE profiles reflected the dominant microbiota.
Significance and Impact of the Study:  This study gave a first insight of the overall microbial structure in a rural biogas digester and also indicated DGGE was useful in displaying its dominant microbiota.     

Culture-independent analysis of probiotic products by denaturing gradient gel electrophoresis

In order to obtain functional and safe probiotic products for human consumption, fast and reliable quality control of these products is crucial. Currently, analysis of most probiotics is still based on culture-dependent methods involving the use of specific isolation media and identification of a limited number of isolates, which makes this approach relatively insensitive, laborious, and time-consuming. In this study, a collection of 10 probiotic products, including four dairy products, one fruit drink, and five freeze-dried products, were subjected to microbial analysis by using a culture-independent approach, and the results were compared with the results of a conventional culture-dependent analysis. The culture-independent approach involved extraction of total bacterial DNA directly from the product, PCR amplification of the V3 region of the 16S ribosomal DNA, and separation of the amplicons on a denaturing gradient gel. Digital capturing and processing of denaturing gradient gel electrophoresis (DGGE) band patterns allowed direct identification of the amplicons at the species level. This whole culture-independent approach can be performed in less than 30 h. Compared with culture-dependent analysis, the DGGE approach was found to have a much higher sensitivity for detection of microbial strains in probiotic products in a fast, reliable, and reproducible manner. Unfortunately, as reported in previous studies in which the culture-dependent approach was used, a rather high percentage of probiotic products suffered from incorrect labeling and yielded low bacterial counts, which may decrease their probiotic potential.     

Online tool for analysis of denaturing gradient gel electrophoresis profiles

We present an online tool (EquiBands, http://www.univie.ac.at/IECB/limno/equibands/EquiBands.html) that quantifies the matching of two bands considered to be the same in different samples, even when samples are applied to different denaturing gradient gel electrophoresis gels. With an environmental example we demonstrate the procedure for the classification of two bands of different samples with the help of EquiBands.     

Characterisation of the bacterial community associated with early stages of Great Scallop (Pecten maximus), using denaturing gradient gel electrophoresis (DGGE)

Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rDNA was used to characterise and compare bacterial communities associated with scallop larvae (Pecten maximus), in different production units in a shellfish hatchery. Water and larvae samples were collected from three different aquaculture systems; stagnant, flow-through and a flow- through system with seawater treated with ozone. Samples were also collected from different algal cultures, inlet tanks and water pipes leading to the different aquaculture systems. Clear differences were seen between the bacterial community associated with the larvae and in the water from the different aquaculture systems. However, there were high similarities in the community composition between different water samples and between larvae samples collected at different time periods, indicating a high stability in the bacterial communities. Fifty three percent of the sequences from these samples were similar to 16S rRNA gene sequences of members of the gamma-subclass of the Proteobacteria. The different algal cultures had different bacterial communities, however 73 percent of the sequences were similar to 16S rRNA gene sequences of members of the alpha-subclass of the Proteobacteria. Differences in the DGGE profiles were also seen between the samples taken from the inlet tanks and water pipes, indicating a change in the bacterial community composition as the water passed through the pipes. To our knowledge this is the first study investigating bacterial communities associated with Great Scallop larvae in different aquaculture systems including noncultured components.     

Digitization of DGGE (denaturing gradient gel electrophoresis) profile and cluster analysis of microbial communities

Denaturing gradient gel electrophoresis (DGGE) of 16S rDNA profiles were objectively digitized using an image analyzer; the individual microbial species in a community can thus be precisely quantified. The similarity between various microbial communities was compared to the digitized DGGE profiles using the cluster analyses technique. The microbial community in a biofilm was considerably different from that in suspended sludge obtained from the same system.     

Evaluation of the impact of DNA extraction methods on BAC bacterial community composition measured by denaturing gradient gel electrophoresis

Aims: The impact of DNA extraction methods on biological activated carbon (BAC) DNA yield and bacterial community was evaluated. Methods and Results: Three different DNA extraction methods were compared: method a, method b and method c. Method c with ultrasonic pretreatment improved cell lysis efficiency (from 34% to 87%) and DNA yield [from 10·58 μg g^?1 (dry wt) of carbon to 21·42 μg g^?1 (dry wt) of carbon]. denaturing gradient gel electrophoresis profiles obtained by method c recovered the five seeded bacteria (Bacillus subtilis Strain WSO 6, Pseudomonas putida Strain WSO 7, Acinetobacter lwoffii WSO 10, Pseudomonas pertucinogena WSO 11 and Brevibacterium mcbrellneri WSO 13). Conclusions: The results showed method c with ultrasonic pretreatment was the most successful for the analysis of BAC bacterial community because it was effective in the detachment of bacteria and cell lysis, thereby resulting in good yields. Significance and Impact of Study: These results must be taken into consideration when extracting DNA for analysing BAC bacterial community.     

A single band does not always represent single bacterial strains in denaturing gradient gel electrophoresis analysis

DNA in a denaturing gradient gel electrophoresis (DGGE) band that could not be sequenced after recovery from the gel was cloned into a TA cloning vector and a library was constructed and then 13 clones randomly picked up from the library was sequenced. Although the excised DNA from the DGGE gel showed a single band, the library consisted of several different sequences phylogenetically. This phenomenon was also observed in several other DGGE bands. Therefore, this suggests that a single DGGE band does not always represent a single bacterial strain and a new bias for quantitative analyses based on band intensities has been identified.     

Microbial community profiling in cis- and trans-dichloroethene enrichment systems using denaturing gradient gel electrophoresis

The effective and accurate assessment of the total microbial community diversity is one of the primary challenges in modem microbial ecology, especially for the detection and characterization of unculturable populations and populations with a low abundance. Accordingly, this study was undertaken to investigate the diversity of the microbial community during the biodegradation of cis- and trans-dichloroethenes in soil and wastewater enrichment cultures. Community profiling using PCR targeting the 16S rRNA gene and denaturing gradient gel electrophoresis (PCR-DGGE) revealed an alteration in the bacterial community profiles with time. Exposure to cis- and trans-dichloroethenes led to the disappearance of certain genospecies that were initially observed in the untreated samples. A cluster analysis of the bacterial DGGE community profiles at various sampling times during the degradation process indicated that the community profile became stable after day 10 of the enrichment. DNA sequencing and phylogenetic analysis of selected DGGE bands revealed that the genera Acinetobacter, Pseudomonas, Bacillus, Comamonas, and Arthrobacter, plus several other important uncultured bacterial phylotypes, dominated the enrichment cultures. Thus, the identified dominant phylotypes may play an important role in the degradation of cis- and trans-dichloroethenes.     

Numerical analysis of grassland bacterial community structure under different land management regimens by using 16S ribosomal DNA sequence data and denaturing gradient gel electrophoresis banding patterns

Bacterial diversity in unimproved and improved grassland soils was assessed by PCR amplification of bacterial 16S ribosomal DNA (rDNA) from directly extracted soil DNA, followed by sequencing of ~45 16S rDNA clones from each of three unimproved and three improved grassland samples (A. E. McCaig, L. A. Glover, and J. I. Prosser, Appl. Environ. Microbiol. 65:1721-1730, 1999) or by denaturing gradient gel electrophoresis (DGGE) of total amplification products. Semi-improved grassland soils were analyzed only by DGGE. No differences between communities were detected by calculation of diversity indices and similarity coefficients for clone data (possibly due to poor coverage). Differences were not observed between the diversities of individual unimproved and improved grassland DGGE profiles, although considerable spatial variation was observed among triplicate samples. Semi-improved grassland samples, however, were less diverse than the other grassland samples and had much lower within-group variation. DGGE banding profiles obtained from triplicate samples pooled prior to analysis indicated that there was less evenness in improved soils, suggesting that selection for specific bacterial groups occurred. Analysis of DGGE profiles by canonical variate analysis but not by principal-coordinate analysis, using unweighted data (considering only the presence and absence of bands) and weighted data (considering the relative intensity of each band), demonstrated that there were clear differences between grasslands, and the results were not affected by weighting of data. This study demonstrated that quantitative analysis of data obtained by community profiling methods, such as DGGE, can reveal differences between complex microbial communities.     

Design and evaluation of PCR primers for analysis of bacterial populations in wine by denaturing gradient gel electrophoresis

Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified ribosomal DNA (rDNA) is routinely used to compare levels of diversity of microbial communities and to monitor population dynamics. While using PCR-DGGE to examine the bacteria in wine fermentations, we noted that several commonly used PCR primers for amplifying bacterial 16S rDNA also coamplified yeast, fungal, or plant DNA present in samples. Unfortunately, amplification of nonbacterial DNA can result in a masking of bacterial populations in DGGE profiles. To surmount this problem, we developed two new primer sets for specific amplification of bacterial 16S rDNA in wine fermentation samples without amplification of eukaryotic DNA. One primer set, termed WLAB1 and WLAB2, amplified lactic acid bacteria, while another, termed WBAC1 and WBAC2, amplified both lactic acid bacterial and acetic acid bacterial populations found in wine. Primer specificity and efficacy were examined with DNA isolated from numerous bacterial, yeast, and fungal species commonly found in wine and must samples. Importantly, both primer sets effectively distinguished bacterial species in wine containing mixtures of yeast and bacteria.     

应用PCR与温度梯度凝胶电泳分析龈上菌斑微生物群落

目的应用PCR与温度梯度凝胶电泳(PCR—TGGE)分子技术对成年健康口腔的龈上菌斑中微生物群落组成进行分析。方法8例成年个体包括4男4女,年龄19～29岁,分别采取每例个体上下颌牙周龈上菌斑样品,共18份(个体Subl间隔10天采集2次样品)。提取菌斑DNA,PCR扩增16SrDNAV3可变区,产物经TGGE后进行相似系数分析。结果同一个体的上下颌微生物群落组成相似性系数为81％～95％,而不同个体的龈上菌斑微生物群落组成相似性系数,均在60％以下。结论不同个体具有其独特的牙周微生物群落,而且在一定时期内组成稳定。     

Statistical analysis of denaturing gel electrophoresis (DGE) fingerprinting patterns

Technical developments in molecular biology have found extensive applications in the field of microbial ecology. Among these techniques, fingerprinting methods such as denaturing gel electrophoresis (DGE, including the three options: DGGE, TGGE and TTGE) has been applied to environmental samples over this last decade. Microbial ecologists took advantage of this technique, originally developed for the detection of single mutations, for the analysis of whole bacterial communities. However, until recently, the results of these high quality fingerprinting patterns were restricted to a visual interpretation, neglecting the analytical potential of the method in terms of statistical significance and ecological interpretation. A brief recall is presented here about the principles and limitations of DGE fingerprinting analysis, with an emphasis on the need of standardization of the whole analytical process. The main content focuses on statistical strategies for analysing the gel patterns, from single band examination to the analysis of whole fingerprinting profiles. Applying statistical method make the DGE fingerprinting technique a promising tool. Numerous samples can be analysed simultaneously, permitting the monitoring of microbial communities or simply bacterial groups for which occurrence and relative frequency are affected by any environmental parameter. As previously applied in the fields of plant and animal ecology, the use of statistics provides a significant advantage for the non-ambiguous interpretation of the spatial and temporal functioning of microbial communities.     

Molecular analysis of 16 Turkish families with DHPR deficiency using denaturing gradient gel electrophoresis (DGGE)

Dihydropteridine reductase (DHPR) catalyses the conversion of quinonoid dihydrobiopterin (qBH2) to tetrahydrobiopterin (BH4), which serves as the obligatory cofactor for the aromatic amino acid hydroxylases. DHPR deficiency, caused by mutations in the QDPR gene, results in hyperphenylalaninemia and deficiency of various neurotransmitters in the central nervous system, with severe neurological symptoms as a consequence. We have studied, at the clinical and molecular levels, 17 patients belonging to 16 Turkish families with DHPR deficiency. The patients were detected at neonatal screening for hyperphenylalaninemia or upon the development of neurological symptoms. To identify the disease causing molecular defects, we developed a sensitive screening method that rapidly scans the entire open reading frame and all splice sites of the QDPR gene. This method combines PCR amplification and "GC-clamping" of each of the seven exonic regions of QDPR, resolution of mutations by denaturing gradient gel electrophoresis (DGGE), and identification of mutations by direct sequence analysis. A total of ten different mutations were identified, of which three are known (G23D, Y150C, R221X) and the remaining are novel (G17R, G18D, W35fs, Q66R, W90X, S97fs and G149R). Six of these mutations are missense variants, two are nonsense mutations, and two are frameshift mutations. All patients had homoallelic genotypes, which allowed the establishment of genotype-phenotype associations. Our findings suggest that DGGE is a fast and efficient method for detection of mutations in the QDPR gene, which may be useful for confirmatory DNA-based diagnosis, genetic counselling and prenatal diagnosis in DHPR deficiency.