Comparisons of Different Hypervariable Regions of rrs Genes for Use in Fingerprinting of Microbial Communities by PCR-Denaturing Gradient Gel Electrophoresis

Denaturing gradient gel electrophoresis (DGGE) has become a widely used tool to examine microbial diversity and community structure, but no systematic comparison has been made of the DGGE profiles obtained when different hypervariable (V) regions are amplified from the same community DNA samples. We report here a study to make such comparisons and establish a preferred choice of V region(s) to examine by DGGE, when community DNA extracted from samples of digesta is used. When the members of the phylogenetically representative set of 218 rrs genes archived in the RDP II database were compared, the V1 region was found to be the most variable, followed by the V9 and V3 regions. The temperature of the lowest-melting-temperature (T_m(L)) domain for each V region was also calculated for these rrs genes, and the V1 to V4 region was found to be most heterogeneous with respect to T_m(L). The average T_m(L) values and their standard deviations for each V region were then used to devise the denaturing gradients suitable for separating 95% of all the sequences, and the PCR-DGGE profiles produced from the same community DNA samples with these conditions were compared. The resulting DGGE profiles were substantially different in terms of the number, resolution, and relative intensity of the amplification products. The DGGE profiles of the V3 region were best, and the V3 to V5 and V6 to V8 regions produced better DGGE profiles than did other multiple V-region amplicons. Introduction of degenerate bases in the primers used to amplify the V1 or V3 region alone did not improve DGGE banding profiles. Our results show that DGGE analysis of gastrointestinal microbiomes is best accomplished by the amplification of either the V3 or V1 region of rrs genes, but if a longer amplification product is desired, then the V3 to V5 or V6 to V8 region should be targeted.     

应用DGGE法对青海相邻两盐湖中细菌多样性的快速检测

分别对青海相邻两盐湖柯柯盐湖、茶卡盐湖土样、泥样进行富集培养后,从中提取的DNA用两套不同的细菌通用引物进行扩增,分别得到包含V8和V9高变区的16SrDNA片断。经变性梯度凝胶电泳(DGGE)分析,结果显示这两个盐湖富集样品中细菌多样性具有较大的差异,而且同一盐湖不同性质样品中的细菌多样性差异也较大,两湖的泥样富集样品中均表现出了稍丰富的多样性。     

PCR-DGGE技术在农田土壤微生物多样性研究中的应用

变性梯度凝胶电泳技术(DGGE)在微生物生态学领域有着广泛的应用。研究采用化学裂解法直接提取出不同农田土壤微生物基因组DNA,并以此基因组DNA为模板,选择特异性引物F357GC和R515对16S rRNA基因的V3区进行扩增,长约230bp的PCR产物经变性梯度凝胶电泳(DGGE)进行分离后,得到不同数目且分离效果较好的电泳条带。结果说明,DGGE能够对土壤样品中的不同微生物的16S rRNA基因的V3区的DNA扩增片断进行分离,为这些DNA片断的定性和鉴定提供了条件。与传统的平板培养方法相比,变性梯度凝胶电泳(DGGE)技术能够更精确的反映出土壤微生物多样性,它是一种有效的微生物多样性研究技术。     

Distribution of bacterioplankton in meromictic Lake Saelenvannet, as determined by denaturing gradient gel electrophoresis of PCR-amplified gene fragments coding for 16S rRNA.

The community structure of bacterioplankton in meromictic Lake Saelenvannet was examined by PCR amplification of the V3 region of 16S rRNA from microbial communities recovered from various depths in the water column. Two different primer sets were used, one for amplification of DNA from the domain Bacteria and another specific for DNA from the domain Archaea. Amplified DNA fragments were resolved by denaturing gradient gel electrophoresis (DGGE), and the resulting profiles were reproducible and specific for the communities from different depths. Bacterial diversity estimated from the number and intensity of specific fragments in DGGE profiles decreased with depth. The reverse was true for the Archaea, with the diversity increasing with depth. Hybridization of DGGE profiles with oligonucleotide probes specific for phylogenetic groups of microorganisms showed the presence of both sulfate-reducing bacteria and methanogens throughout the water column, but they appeared to be most abundant below the chemocline. Several dominant fragments in the DGGE profiles were excised and sequenced. Among the dominant populations were representatives related to Chlorobium phaeovibrioides, chloroplasts from eukaryotic algae, and unidentified Archaea.     

PCR指纹图谱技术分析人体口腔内微生物菌群结构

目的 应用PCR-DGGE指纹图谱技术对人体口腔微生物菌群结构进行系统性研究.方法 对1例健康人唾液周期性采集的样品和8例健康人个体的唾液与牙菌斑采集的样品,进行微生物群落总DNA的抽提.以此为模板扩增16S rRNA V3可变区,产物经DGGE指纹图谱分析其组成结构,并运用UVIBAND/MAP等软件比较所得群落指纹图谱的相似性指数.结果 同一健康人个体不同采样时间的唾液菌群结构相似性系数＞74%,通过对不同健康个体口腔样本的研究,发现同一个体的唾液与牙菌斑菌群结构存在差异（84%～95%）.结论 同一健康个体其唾液微生物菌群在一定时间内基本稳定,仅有微小的变化;唾液与同个体牙菌斑的微生物组成虽然存在差异,但这种差异要明显小于个体间的差异.     

Denaturing gradient gel electrophoresis (DGGE) analysis of bacterial community composition in deep-sea sediments of the South China Sea

The South China Sea, which is one of the largest marginal seas in the world, is predicted to have suitable accumulation conditions and exporting prospects for natural gas hydrate. The aim of this study was to explore the bacterial community composition of deep-sea sediments from such an ecosystem. DNA was extracted by five different methods and used as templates for PCR amplification of the V3 regions of the 16S rRNA gene. Denaturing gradient gel electrophoresis (DGGE) was used to separate the amplified products and analyse the 16S rRNA gene diversity of sediment samples. The results of DGGE indicated that the bacterial community composition is influenced by DNA extraction methods. Sequencing dominant bands demonstrated that the major phylogenetic groups identified by DGGE belong to Proteobacteria, Bacteroidetes, gram-positive bacteria and Archaea. Integrating different DNA extraction procedures are needed to analyse the actual bacterial diversity from environment when the amplification of 16S rRNA gene and construction of representative clone library were adopted.     

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.     

福建省稻田土壤细菌群落的16S rDNA-PCR-DGGE分析

用不依赖细菌培养的16S rDNA-PCR-DGGE方法对福建省6个不同地区12个取样点的稻田土壤进行细菌群落结构分析.对12份样品直接提取其总DNA,用F341GC/R534引物扩增16SrDNA基因的V3可变区,结合DGGE(denaturing gradient gel electrophoresis)技术分析样品细菌群落组成.结果表明,福建省不同地区的稻田土壤之间细菌群落结构存在较大差异.犬体上可分为闽东、闽南、闽北、闽西4个大类.同一地区的根际土和表土样品之间也存在差异,但差异相对较低,其中龙岩根际土和表土细菌群落结构相似性最大,永泰差异性最大.回收了DGGE图谱中11个条带,测序结果经过Blast比对表明其中10个条带代表的细菌是不可培养的,显示了DGGE技术的优越性.     

变性梯度凝胶电泳法研究断奶仔猪粪样细菌区系变化

利用PCR和DGGE技术分析了12头仔猪在断奶后其粪样细菌区系的变化。粪样细菌16S rDNA的V6～V8可变区经PCR扩增,扩增产物经DGGE电泳后再进行相似性分析。结果表明,仔猪断奶当天粪样 DGGE谱带少,同窝仔猪间图谱相似。断奶后,随着断奶时间的推移,每头仔猪的DGGE图谱带逐渐增多,变得复杂和多样,仔猪个体间DGGE图谱差异逐渐增大。仔猪是否同窝以及所采食日粮类型对DGGE图谱没有明显影响。相似性分析还表明,日粮中添加寡果糖的仔猪在断奶后第1周,其粪样微生物区系变化迅速,而后缓慢。     

Denaturing gradient gel electrophoresis analysis of 16S ribosomal DNA amplicons to monitor changes in fecal bacterial populations of weaning pigs after introduction of Lactobacillus reuteri strain MM53

The diversity and stability of the fecal bacterial microbiota in weaning pigs was studied after introduction of an exogenous Lactobacillus reuteri strain, MM53, using a combination of cultivation and techniques based on genes encoding 16S rRNA (16S rDNA). Piglets (n = 9) were assigned to three treatment groups (control, daily dosed, and 4th-day dosed), and fresh fecal samples were collected daily. Dosed animals received 2.5 x 10(10) CFU of antibiotic-resistant L. reuteri MM53 daily or every 4th day. Mean Lactobacillus counts for the three groups ranged from 1 x 10(9) to 4 x 10(9) CFU/g of feces. Enumeration of strain L. reuteri MM53 on MRS agar (Difco) plates containing streptomycin and rifampin showed that the introduced strain fluctuated between 8 x 10(3) and 5 x 10(6) CFU/g of feces in the two dosed groups. Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rDNA fragments, with primers specific for variable regions 1 and 3 (V1 and V3), was used to profile complexity of fecal bacterial populations. Analysis of DGGE banding profiles indicated that each individual maintained a unique fecal bacterial population that was stable over time, suggesting a strong host influence. In addition, individual DGGE patterns could be separated into distinct time-dependent clusters. Primers designed specifically to restrict DGGE analysis to a select group of lactobacilli allowed examination of interspecies relationships and abundance. Based on relative band migration distance and sequence determination, L. reuteri was distinguishable within the V1 region 16S rDNA gene patterns. Daily fluctuations in specific bands within these profiles were observed, which revealed an antagonistic relationship between L. reuteri MM53 (band V1-3) and another indigenous Lactobacillus assemblage (band V1-6).     

Bacterial population in traditional sourdough evaluated by molecular methods

AIMS: To study the microbial communities in artisanal sourdoughs, manufactured by traditional procedure in different areas of Sicily, and to evaluate the lactic acid bacteria (LAB) population by classical and culture-independent approaches. METHODS AND RESULTS: Forty-five LAB isolates were identified both by phenotypic and molecular methods. The restriction fragment length polymorphism and 16S ribosomal DNA gene sequencing gave evidence of a variety of species with the dominance of Lactobacillus sanfranciscensis and Lactobacillus pentosus, in all sourdoughs tested. Culture-independent method, such as denaturing gradient gel electrophoresis (DGGE) of the V6-V8 regions of the 16S rDNA, was applied for microbial community fingerprint. The DGGE profiles revealed the dominance of L. sanfranciscensis species. In addition, Lactobacillus-specific primers were used to amplify the V1-V3 regions of the 16S rDNA. DGGE profiles flourished the dominance of L. sanfranciscensis and Lactobacillus fermentum in the traditional sourdoughs, and revealed that the closely related species Lactobacillus kimchii and Lactobacillus alimentarius were not discriminated. CONCLUSIONS: Lactobacillus-specific PCR-DGGE analysis is a rapid tool for rapid detection of Lactobacillus species in artisanal sourdough. SIGNIFICANCE AND IMPACT OF THE STUDY: This study reports a characterization of Lactobacillus isolates from artisanal sourdoughs and highlights the value of DGGE approach to detect uncultivable Lactobacillus species.     

Succession of microbial communities during hot composting as detected by PCR-single-strand-conformation polymorphism-based genetic profiles of small-subunit rRNA genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4-V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8-V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of gamma-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

Denaturing gradient gel electrophoresis analysis with different primers of subgingival bacterial communities under mechanical debridement

DGGE of 16S rDNA is one of the most frequently used methods to study microbial communities. In this study, the DGGE profiles of different 16S rDNA regions of the periodontal pathogens Porphyromonas gingivalis, Fusobacterium nucleatum, and Prevotella nigrescens were investigated. The results suggested that V3-V5 and V6-V8 fragments may be suitable for community analysis of subgingival bacteria. Further analysis of subgingival samples with V3-V5 and V6-V8 regions as target fragments suggested that, in chronic periodontitis, re-colonization by periodontal bacteria with a population very similar to the baseline may occur by 6 weeks after mechanical debridement.     

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.     

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.     

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.     

Succession of Microbial Communities during Hot Composting as Detected by PCR–Single-Strand-Conformation Polymorphism-Based Genetic Profiles of Small-Subunit rRNA Genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4–V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8–V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of γ-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

新疆一号冰川土壤细菌多样性的研究

应用变性梯度凝胶电泳（DGGE）技术分离PCR扩增的16SrDNA来研究土壤微生物的多样性。直接从新疆一号冰川不同海拔高度的土壤样品中提取总DNA。用两套细菌通用引物分别扩增16SrDNA的V3和V6／V9高变区的特异性片段,PCR产物进行DGGE分析。PCR—DGGE图谱表明,PCR产物经DGGE检测到的条带清晰且分离效果好。结果表明,PCR—DGGE是一种快速研究微生物群落结构的有效方法。     

Microbial diversity in lake sediments detected by PCR-DGGE

In this study,PCR-denaturing gradient gel electrophoresis (DGGE) was applied to analyze the microbial communities in lake sediments from Lake Xuanwu,Lake Mochou in Nanjing and Lake Taihu in Wuxi.Sediment samples from seven locations in three lakes were collected and their genomic DNAs were extracted.The DNA yields of the sediments of Lake Xuanwu and Lake Mochou were high (10 μg/g),while that of sediments in Lake Taihu was relatively low.After DNA purification,the 16S rDNA genes (V3 to V5 region) were amplified and the amplified DNA fragments were separated by parallel DGGE.The DGGE profiles showed that there were five common bands in all the lake sediment samples indicating that there were similarities among the populations of microorganisms in all the lake sediments.The DGGE profiles of Lake Xuanwu and Lake Mochou were similar and about 20 types of micro-organisms were identified in the sediment samples of both lakes.These results suggest that the sediment samples of these two city lakes (Xuanwu,Mochou) have similar microbial communities.However,the DGGE profiles of sediment samples in Lake Taihu were significantly differ-ent from these two lakes.Furthermore,the DGGE pro-files of sediment samples in different locations in Lake Taihu were also different,suggesting that the microbial communities in Lake Taihu are more diversified than those in Lake Xuanwu and Lake Mochou.The differences in microbial diversity may be caused by the different environmental conditions,such as redox potential,pH,and the concentrations of organic matters.Seven major bands of 16S rDNA genes fragments from the DGGE profiles of sediment samples were further re-amplified and sequenced.The results of sequencing analysis indicate that five sequences shared 99%-100% homology with known sequences (Bacillus and Brevibacillus,uncultured bacteria),while the other two sequences shared 93%-96% homology with known sequences (Acinetobacter,and Bacillus).The study shows that the PCR-DGGE tech-nique combined with sequence analysis is a feasible and efficient method for the determination of microbial com-munities in sediment samples.     

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.