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.     

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.     

Rapid lactic acid bacteria identification in dairy products by high-resolution melt analysis of DGGE bands

Aim: To investigate the application of high‐resolution melt (HRM) analysis for rapid species‐level identification of lactic acid bacteria (LAB) communities in dairy products, as well as for bacterial community profiling and monitoring. Methods and Results: First, comparisons of HRM profiles of known reference strains of LAB and their denaturing gradient gel electrophoresis (DGGE) bands showed very good agreement, allowing species recognition and identification from DGGE bands by HRM. Second, samples of cheese, kefir grains and kefir were characterized by PCR‐DGGE, and melting profiles of DGGE bands were compared with known reference strains. Of the 13 DGGE bands, ten were identified by HRM by comparison with the reference strains and only three required sequencing for identification. Use of HRM profiling for comparison and monitoring of total LAB communities from dairy products or starter cultures was also evaluated, and good agreement was found when comparing clustering of DGGE band profiles with clustering of HRM melting profiles. Conclusion: Identification of DGGE bands is possible by comparison of HRM melting profiles with known reference strains. Significance and Impact of the Study: HRM profiling is suggested as an additional approach for identification of DGGE bands.     

Terminal restriction fragment length polymorphism analysis for human fecal microbiota and its application for analysis of complex bifidobacterial communities

Terminal restriction fragment length polymorphism (T-RFLP) analysis was used to characterize and compare human fecal microbiota among individuals. T-RFLP patterns of fecal 16S ribosomal DNA (rDNA) PCR products from three adults revealed host-specific bacterial communities and were in good agreement with those reported in our previous study. In addition, we applied T-RFLP analysis for the analysis of complex bifidobacterial communities in human fecal samples. The developed method based on Bifidobacterium genus-specific PCR and T-RFLP could identify more than one bifidobacterial species. T-RFLP patterns of Bifidobacterium genus-specific PCR products from the fecal samples were host-specific as well as those of fecal 16S rDNA PCR products. These results were confirmed by PCR-denaturing gradient gel electrophoresis (DGGE) with primers specific for the genus Bifidobacterium and Bifidobacterium species- and group-specific PCR. Our study demonstrates that T-RFLP analysis is useful for assessment of the diversity of the human fecal microbiota and rapid comparison of the community structure among individuals, and that the applied method is useful for rapid and sensitive analysis of bifidobacterial community.     

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.     

Molecular profiling of the Clostridium leptum subgroup in human fecal microflora by PCR-denaturing gradient gel electrophoresis and clone library analysis

A group-specific PCR-based denaturing gradient gel electrophoresis (DGGE) method was developed and combined with group-specific clone library analysis to investigate the diversity of the Clostridium leptum subgroup in human feces. PCR products (length, 239 bp) were amplified using C. leptum cluster-specific primers and were well separated by DGGE. The DGGE patterns of fecal amplicons from 11 human individuals revealed host-specific profiles; the patterns for fecal samples collected from a child for 3 years demonstrated the structural succession of the population in the first 2 years and its stability in the third year. A clone library was constructed with 100 clones consisting of 1,143-bp inserts of 16S rRNA gene fragments that were amplified from one adult fecal DNA with one forward universal bacterial primer and one reverse group-specific primer. Eighty-six of the clones produced the 239-bp C. leptum cluster-specific amplicons, and the remaining 14 clones did not produce these amplicons but still phylogenetically belong to the subgroup. Sixty-four percent of the clones were related to Faecalibacterium prausnitzii (similarity, 97 to 99%), 6% were related to Subdoligranulum variabile (similarity, approximately 99%), 2% were related to butyrate-producing bacterium A2-207 (similarity, 99%), and 28% were not identified at the species level. The identities of most bands in the DGGE profiles for the same adult were determined by comigration analysis with the 86 clones that harbored the 239-bp group-specific fragments. Our results suggest that DGGE combined with clone library analysis is an effective technique for monitoring and analyzing the composition of this important population in the human gut flora.     

Single-strand restriction fragment length polymorphism analysis of the second internal transcribed spacer (ribosomal DNA) for six species of Eimeria from chickens in Australia

Species of Eimeria from chickens from Australia were characterised using a polymerase chain reaction-linked restriction fragment length polymorphism (PCR-RFLP) approach. The ribosomal DNA region spanning the second internal transcribed spacer (ITS-2) was amplified from genomic DNA by PCR, digested separately with three restriction endonucleases (CfoI, Sau3AI and TaqI) and the fragments separated by denaturing gel electrophoresis. The PCR products amplified from the six species varied from approximately 70 to 620 bp on agarose gels, with differences in size and number of bands among species, but no apparent variation within a species. The PCR-RFLP analysis of ITS-2 amplicons on denaturing gels gave characteristic profiles for individual species (except for minor variation in profiles within some species). The results indicate that ITS-2 contains useful genetic markers for the identification of six Eimeria species occurring in Australia.     

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.     

Particle-attached and free-living bacterial communities in a contrasting marine environment: Victoria Harbor, Hong Kong

Diversity of particle-attached and free-living marine bacteria in Victoria Harbor, Hong Kong, and its adjacent coastal and estuarial environments was investigated using DNA fingerprinting and clone library analysis. Denaturing gradient gel electrophoresis (DGGE) analysis of 16S rRNA genes showed that bacterial communities in three stations of Victoria Harbor were similar, but differed from those in adjacent coastal and estuarine stations. Particle-attached and free-living bacterial community composition differed in the Victoria Harbor area. DNA sequencing of 28 bands from DGGE gel showed Alphaproteobacteria was the most abundant group, followed by the Bacteroidetes, and other Proteobacteria. Bacterial species richness (number of DGGE bands) differed among stations and populations (particle-attached and free-living; bottom and surface). BIOENV analysis indicated that the concentrations of suspended solids were the major contributing parameter for the spatial variation of total bacterial community structure. Samples from representative stations were selected for clone library (548 clones) construction and their phylogenetic distributions were similar to those of sequences from DGGE. Approximately 80% of clones were affiliated to Proteobacteria, Bacteroidetes and Cyanobacteria. The possible influences of dynamic pollution and hydrological conditions in the Victoria Harbor area on the particle-attached and free-living bacterial community structures were discussed.     

Use of the rpoB gene as an alternative to the V3 gene for the identification of spoilage and pathogenic bacteria species in milk and milk products

Aim: To evaluate the rpoB gene as an alternative to the V3 gene for the identification of bacterial species in milk and milk products. Methods and Results: DNA obtained from different bacterial species strains was amplified by PCR using rpoB primers. PCR products of each bacterial species were then separated on a DGGE gel. The molecular fingerprints of the bacterial species tested were integrated into a database. The DGGE analysis shows a single band for the rpoB gene amplicons per each bacterial species. Comparison of electrophoretic profiles obtained from V3 16S rDNA amplification with those from this study obtained with rpoB showed that for some bacterial species that co‐migrated after amplification of the V3 region, distinct bands were observed on the gel with the amplification products of the rpoB region. Conclusions: The results obtained in this study show the discriminatory power of the rpoB gene, indicating that it can be used as an alternative to the V3 16S rRNA gene for the identification of bacterial species in milk and milk products. Significance and Impact of the Study: PCR‐DGGE targeting the rpoB gene is a way of discriminating the bacterial species that co‐migrated with the amplification of the V3 gene and so avoids the sequencing of the co‐migrating bands.     

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.     

A molecular approach to the characterization of the eukaryotic communities of an extreme acidic environment: methods for DNA extraction and denaturing gradient gel electrophoresis analysis

The diversity of the phytobenthonic community present in six acidophilic microbial mats from Río Tinto (Iberian Pyritic Belt, SW Spain) was analysed by optical microscopy and two molecular techniques, denaturing gradient gel electrophoresis (DGGE) and sequence analysis of 18S rDNA cloned gene fragments. Sixteen DNA isolation protocols as well as two commercial DNA extraction kits were tested and their efficiency compared. Purified DNA extracts were amplified by PCR using universal eukaryotic primers and the PCR products analysed by DGGE. Bead-mill homogenization was found to be superior to the other cell lysis methodologies assayed (sonication or freeze-thawing cycles) as it allowed efficiencies of cell disruption of over 95%. The methods combining bead-mill homogenization in the presence of SDS, treatment with chemical extractants (hexadecylmethylammonium bromide or guanidine isothiocyanate) and phenol extraction resulted in DNA preparations that amplified the same number of bands when analysed by DGGE as the two commercial kits assayed. The phylogenetic affiliations of the DGGE bands were determined by a BLAST search, and nine different species related to the Chlorophyta, Ciliophora, Kinetoplastida, Ascomycota, Streptophyta and Colcochaetales taxonomical groups were identified. Similar levels of diversity were found using cloning procedures. Although not all the species observed under the microscope were detected using molecular techniques, e.g. euglenas, heliozoan, or amoebae, DGGE fingerprints showed rather well the level of diversity present in the samples analysed, with limitations similar to cloning techniques.     

Ability of DNA content and DGGE analysis to reflect the performance condition of an anaerobic biowaste fermenter

Molecular-microbiological techniques have delivered insight into microbial populations present in anaerobic fermenters, although much information still remains to be elucidated. In this study, the ability of denaturing gradient gel electrophoresis (DGGE) to throw light on microbial community composition was investigated and latter data were compared with the gas production of a 750,000l anaerobic biogas fermenter. During 1 year, samples were taken from two different sites of the reactor and additionally from the substrate material. After DNA extraction and PCR with archaeal and bacterial primers, PCR products were run on denaturing gradient gels to compare band patterns. Using gel-imaging software (GelComparII), two major clusters could be identified. Dominant bands were excised from the gels, reamplified and sequenced. Most sequences were closely related to Lactobacilli and yet uncultured microorganisms. DNA content of all samples was significantly correlated with the gas production measured online. We concluded that PCR and subsequent DGGE are useful to monitor community shifts in anaerobic fermenter sludge. However, as these changes are not readily detectable via DGGE-pattern analysis, alternative factors influencing the fermenter functioning should be found and investigated. So far DNA-content measurement seems to be a good parameter to quickly determine anaerobic fermenter condition.     

Optimization of the DGGE band identification method

Denaturant gradient gel electrophoresis (DGGE) enables insight into the diversity of the studied microbial communities on the basis of separation of PCR amplification products according to their nucleotide sequence composition. However, the success of the method is accompanied by the inherent appearance of various sequence artifacts that bias the impression of community structure by generating additional bands representing no virtual microbes. PCR-DGGE artifacts require optimization of the method when aiming at the phylogenetic identification of the selected DGGE bands. The aim of our study was to develop a procedure which will increase the reliability of the identification. Samples of rumen fluid were used for the optimization since they contain a complex microbial community that supports the generation of artifactual bands. An optimized procedure following band excision and elution of microbial DNA is proposed including nuclease treatment, selection of DNA polymerase with proofreading activity, and cloning prior to sequencing and identification analysis.     

Batch-to-Batch Quality Consistency Evaluation of Botanical Drug Products Using Multivariate Statistical Analysis of the Chromatographic Fingerprint

Botanical drug products have batch-to-batch quality variability due to botanical raw materials and the current manufacturing process. The rational evaluation and control of product quality consistency are essential to ensure the efficacy and safety. Chromatographic fingerprinting is an important and widely used tool to characterize the chemical composition of botanical drug products. Multivariate statistical analysis has showed its efficacy and applicability in the quality evaluation of many kinds of industrial products. In this paper, the combined use of multivariate statistical analysis and chromatographic fingerprinting is presented here to evaluate batch-to-batch quality consistency of botanical drug products. A typical botanical drug product in China, Shenmai injection, was selected as the example to demonstrate the feasibility of this approach. The high-performance liquid chromatographic fingerprint data of historical batches were collected from a traditional Chinese medicine manufacturing factory. Characteristic peaks were weighted by their variability among production batches. A principal component analysis model was established after outliers were modified or removed. Multivariate (Hotelling T ² and DModX) control charts were finally successfully applied to evaluate the quality consistency. The results suggest useful applications for a combination of multivariate statistical analysis with chromatographic fingerprinting in batch-to-batch quality consistency evaluation for the manufacture of botanical drug products.     

分子生态学方法在微生物肥料质量监测中的应用

应用PCR—DGGE技术对某微生物肥料的质量进行了跟踪监测,并结合分离培养和克隆文库分析对其菌种组成进行了检测。结果表明,同一生产批次3个不同包装样品的细菌和真菌DGGE（denaturing gradient gel eleetrophoresis）图谱相似性为80％-100％,3个不同生产批次之间DGGE图谱相似性为80％-88％,表明该微生物肥料的菌种组成的稳定性较好。但分离培养和克隆文库分析结果显示样品的菌种组成与产品标签说明之间存在较大差异。对于产品标注的6种微生物组成,只有Lactobacillus属的微生物可与之对应,其他检测到的Bacillus、Monascus、Brevibacillus、Psudomonas和Penicillium属的微生物并未包括在产品说明中。研究表明用分子生态学方法可以比较客观准确的对微生物肥料质量进行评估和峪测。     

Denaturing gradient gel electrophoresis (DGGE)-based monitoring of intestinal lactobacilli and bifidobacteria of pigs during a feeding trial

The aim of this study was to determine the influence of different feeding strategies on the gut microbiota of organic growing-finishing pigs. A total of 76 pigs were allocated to four different dietary treatments (control, probiotics, maize silage and grass silage). Effects of the applied probiotic preparation on the composition of the intestinal and faecal microbiota were monitored. By using a DGGE (denaturing gradient gel electrophoresis)-based methodology, fingerprints of the intestinal microbiota were obtained. The total microbial DNA was isolated from faecal and colon samples and amplified with PCR using different primer sets to detect bifidobacteria and lactobacilli. PCR products were separated using DGGE and the resulting profiles were compared with the findings of the other dietary treatments. Bands were excised from the gels and sequenced for further identification. Particularly two different DGGE profiles of bifidobacteria were observed, while lactobacilli showed larger variety within the dietary treatments.     

Myosin light chain isoforms retain their species-specific electrophoretic mobility after processing, which enables differentiation between six species: 2DE analysis of minced meat and meat products made from beef, pork and poultry

Investigation of protein changes as well as authentication of meat is particularly difficult in processed meat products due to their different composition, complexity and very often inhomogeneity. The aim of this study was to check if the inter-species differences in the expression of myosin light chain (MLC) isoforms observed in raw meat were retained in meat products. MLCs from mixtures of minced meat (16 variants), frankfurters and sausages (15 products) made from cattle, pig, chicken, turkey, duck and goose were analysed by 2DE. Species-specific patterns of MLC isoforms were observed in all the mixtures and processed meat products. Relatively small degradation was observed in the MLCs after processing. Image analysis enabled species identification of the meat in all samples when the content of meat of one species was not lower than 10%. However, it was impossible to differentiate between all the six species under investigation on the basis of individual isoform. It was possible when the combination of all the three isoforms (myosin light chain 1 fast, myosin light chain 2 fast and myosin light chain 3 fast) was analysed. The results evidenced that MLCs have potential to be used as markers in authentication of meat products made from the analysed six species.