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。     

Evaluation of the denaturing gradient gel electrophoresis-apparatus as a parameter influencing soil microbial community fingerprinting

We compared two denaturing gradient gel electrophoresis (DGGE) systems—DCode (Biorad, Hercules, CA, USA) and PhorU (Ingeny, Leiden, NL), performing community level 16S and 18S rRNA gene fragment-PCR-DGGE with total DNA extracted from upland pasture soil used for outdoor cattle husbandry. The methodological evaluation of the DGGE apparatus as parameter influencing DGGE fingerprinting, based on cluster analysis of soil bacterial and fungal community fingerprints, was made in terms of the resulting information about microbial community structures and their response to different degrees of cattle impact. Although the comparative DGGE analysis with different DGGE systems provided similar clustering of microbial community structures in correlation with the degree of cattle impact, our results suggest the DGGE system to be a factor influencing DGGE analysis. To our knowledge this is the first attempt to investigate the hypothetical impact of the DGGE system due to different technical characteristics, recommending the use of one and the same DGGE apparatus throughout an experiment, if the monitoring of microbial community structures requires multiple gel-to-gel analysis.     

Denaturing Gradient Gel Electrophoresis Can Rapidly Display the Bacterial Diversity Contained in 16S rDNA Clone Libraries

Two different strategies for molecular analysis of bacterial diversity, 16S rDNA cloning and denaturing gradient gel electrophoresis (DGGE), were combined into a single protocol that took advantage of the best attributes of each: the ability of cloning to package DNA sequence information and the ability of DGGE to display a community profile. In this combined protocol, polymerase chain reaction products from environmental DNA were cloned, and then DGGE was used to screen the clone libraries. Both individual clones and pools of randomly selected clones were analyzed by DGGE, and these migration patterns were compared to the conventional DGGE profile produced directly from environmental DNA. For two simple bacterial communities (biofilm from a humics-fed laboratory reactor and planktonic bacteria filtered from an urban freshwater pond), pools of 35–50 clones produced DGGE profiles that contained most of the bands visible in the conventional DGGE profiles, indicating that the clone pools were adequate for identifying the dominant genotypes. However, DGGE profiles of two different pools of 50 clones from a lawn soil clone library were distinctly different from each other and from the conventional DGGE profile, indicating that this small number of clones poorly represented the bacterial diversity in soil. Individual clones with the same apparent DGGE mobility as prominent bands in the humics reactor community profiles were sequenced from the clone plasmid DNA rather than from bands excised from the gel. Because a longer fragment was cloned (∼1500 bp) than was actually analyzed in DGGE (∼350 bp), far more sequence information was available using this approach that could have been recovered from an excised gel band. This clone/DGGE protocol permitted rapid analysis of the microbial diversity in the two moderately complex systems, but was limited in its ability to represent the diversity in the soil microbial community. Nonetheless, clone/DGGE is a promising strategy for fractionating diverse microbial communities into manageable subsets consisting of small pools of clones.     

益生菌DGGE Marker的制备及验证

目的 制备指示益生菌标准菌株的DGGE marker并对其可靠性进行验证.方法 分别利用乳杆菌、双歧杆菌特异性引物和细菌V3区通用引物对选取的乳杆菌、双歧杆菌标准菌株DNA进行扩增,利用DGGE检测每个标准菌株条带位置是否与利用这些标准菌株制备的DGGE marker条带相对应.结果 DGGE图谱显示,乳杆菌和双歧杆菌特异性引物或V3区通用引物扩增后的每个标准菌株优势条带,与乳杆菌、双歧杆菌DGGE marker均有对应关系.结论 常见益生菌菌株的DGGE marker可以指示相应菌株的存在;其研制成功,可为微生物生态学中应用DGGE技术检测特定微生物种类的动态变化,提供新的思路.     

Geobacteraceae community composition is related to hydrochemistry and biodegradation in an iron-reducing aquifer polluted by a neighboring landfill

Relationships between community composition of the iron-reducing Geobacteraceae, pollution levels, and the occurrence of biodegradation were established for an iron-reducing aquifer polluted with landfill leachate by using cultivation-independent Geobacteraceae 16S rRNA gene-targeting techniques. Numerical analysis of denaturing gradient gel electrophoresis (DGGE) profiles and sequencing revealed a high Geobacteraceae diversity and showed that community composition within the leachate plume differed considerably from that of the unpolluted aquifer. This suggests that pollution has selected for specific species out of a large pool of Geobacteraceae. DGGE profiles of polluted groundwater taken near the landfill (6- to 39-m distance) clustered together. DGGE profiles from less-polluted groundwater taken further downstream did not fall in the same cluster. Several individual DGGE bands were indicative of either the redox process or the level of pollution. This included a pollution-indicative band that dominated the DGGE profiles from groundwater samples taken close to the landfill (6 to 39 m distance). The clustering of these profiles and the dominance by a single DGGE band corresponded to the part of the aquifer where organic micropollutants and reactive dissolved organic matter were attenuated at relatively high rates.     

The use of DGGE analyses to explore eastern Mediterranean and Red Sea marine picophytoplankton assemblages

In vast areas of the oceans, most marine photosynthetic production is performed by cells smaller than 2-3 microm (picoplankton). Here, we report on denaturing gradient gel electrophoresis (DGGE) analyses of naturally occurring marine oxygenic picophytoplankton using the conserved photosynthetic psbA gene. The psbA gene proved to be a good indicator for picophytoplankton presence and was shown to work with DGGE. The DGGE results show the distribution of photosynthetic marine groups belonging to cyanobacteria and the eukaryotic prasinophytes (green algae) in the Red and eastern Mediterranean Seas in the seasons examined. The present study demonstrates the value of DGGE as a tool for rapid analyses of natural marine communities of picophytoplankton.     

变性梯度凝胶电泳(DGGE)在微生物生态学中的应用

由于从环境样品中分离和培养细菌的困难,分子生物学方法已发展用来描述和鉴定微生物群落。近年来基于DNA方法的群落分析得到了迅速的发展,如PCR扩增技术,克隆文库法,荧光原位杂交法,限制性酶切片段长度多态性法,变性和温度梯度凝胶电泳法。DGGE已广泛用于分析自然环境中细菌、蓝细菌,古菌、微微型真核生物、真核生物和病毒群落的生物多样性。这一技术能够提供群落中优势种类信息和同时分析多个样品。具有可重复和容易操作等特点,适合于调查种群的时空变化,并且可通过对切下的带进行序列分析或与特异性探针杂交分析鉴定群落成员。DGGE分析微生物群落的一般步骤如下：一是核酸的提取,二是16S rRNA,18S rRNA或功能基因如可容性甲烷加单氧酶羟化酶基因(mmoX)和氨加单氧酶a一亚单位基因(amoA)片段的扩增,三是通过DGGE分析PCR产物。DGGE使用具有化学变性剂梯度的聚丙烯酰胺凝胶,该凝胶能够有区别的解链PCR扩增产物。由PCR产生的不同的DNA片段长度相同但核苷酸序列不同。因此不同的双链DNA片段由于沿着化学梯度的不同解链行为将在凝胶的不同位置上停止迁移。DNA解链行为的不同导致一个凝胶带图案,该图案是微生物群落中主要种类的一个轮廓。DGGE使用所有生物中保守的基因片段如细菌中的16S rRNA基因片段和真菌中的18S rRNA基因片段。然而同其他分子生物学方法一样,DGGE也有缺陷,其中之一是只能分离较小的片段,使用于系统发育分析比较和探针设计的序列信息量受到了限制。在某些情况下,由于所用基因的多拷贝导致一个种类多于一条带,因此不易鉴定群落结构到种的水平。此外,该技术具有内在的如单一细菌种类16S rDNA拷贝之间的异质性问题,可导致自然群落中微生物数量的过多估计。DGGE是分析微生物群落的一种有力的工具。不过为了减少DGGE和其它技术的缺陷,建议研究者结合DGGE和其它分子及微生物学方法以便更详细的观察微生物的群落结构和功能。     

PCR–DGGE method for analyzing the bacterial community in a high temperature petroleum reservoir

Different PCR–denaturing gradient gel electrophoresis (DGGE) protocols were employed to investigate bacterial communities in a high temperature and water flooded petroleum reservoir in Dagang oil field, China. Bacterial universal primers sets frequently used in PCR–DGGE were evaluated. Three primers sets P1 (341F-GC and 534R), P2 (341F-GC and 907R) and P3 (1055F and 1406R-GC) showed different DGGE patterns. Good separation and quality of patterns were obtained in DGGE analysis with the set P3. A total of 12 DNA fragments were excised from the DGGE gels and their sequences were determined. Clustering analysis of the DGGE profiles showed that bacteria in this petroleum reservoir belonged to four clusters. These results indicate that the procedure of DGGE analysis with the primer P3 (1055F and 1406R-GC) is suitable for investigating microbial community in petroleum reservoirs.     

Geobacteraceae Community Composition Is Related to Hydrochemistry and Biodegradation in an Iron-Reducing Aquifer Polluted by a Neighboring Landfill

Relationships between community composition of the iron-reducing Geobacteraceae, pollution levels, and the occurrence of biodegradation were established for an iron-reducing aquifer polluted with landfill leachate by using cultivation-independent Geobacteraceae 16S rRNA gene-targeting techniques. Numerical analysis of denaturing gradient gel electrophoresis (DGGE) profiles and sequencing revealed a high Geobacteraceae diversity and showed that community composition within the leachate plume differed considerably from that of the unpolluted aquifer. This suggests that pollution has selected for specific species out of a large pool of Geobacteraceae. DGGE profiles of polluted groundwater taken near the landfill (6- to 39-m distance) clustered together. DGGE profiles from less-polluted groundwater taken further downstream did not fall in the same cluster. Several individual DGGE bands were indicative of either the redox process or the level of pollution. This included a pollution-indicative band that dominated the DGGE profiles from groundwater samples taken close to the landfill (6 to 39 m distance). The clustering of these profiles and the dominance by a single DGGE band corresponded to the part of the aquifer where organic micropollutants and reactive dissolved organic matter were attenuated at relatively high rates.     

Community Structure of Bacteria Associated with Sheaths of Freshwater and Brackish Thioploca Species

Bacterial communities associated with sheaths of Thioploca spp. from two freshwater lakes (Lake Biwa, Japan, and Lake Constance, Germany) and one brackish lake (Lake Ogawara, Japan) were analyzed with denaturing gradient gel electrophoresis (DGGE) of 16S rRNA gene fragments. The comparison between the DGGE band patterns of bulk sediment and Thioploca filaments of Lake Biwa suggested the presence of specific bacterial communities associated with Thioploca sheaths. As members of sheath-associated communities, bacteria belonging to Bacteroidetes were detected from the samples of both freshwater lakes. A DGGE band from Thioploca of Lake Biwa, belonging to candidate division OP8, was quite closely related to another DGGE band detected from that of Lake Constance. In contrast to the case of freshwater lakes, no bacterium of Bacteroidetes or OP8 was detected from Thioploca of Lake Ogawara. However, two DGGE bands from Lake Ogawara, belonging to Chloroflexi, were quite closely related to a DGGE band from Lake Constance. Two DGGE bands obtained from Lake Biwa were closely related to phylogenetically distant dissimilatory Fe(III)-reducing bacteria. Cloning analyses for a dissimilatory sulfite reductase gene were performed on the same samples used for DGGE analysis. The results of the analyses suggest that sheaths of freshwater/brackish Thioploca have little ecological significance for the majority of sulfate reducers.     

Combination of multiplex PCR and PCR-denaturing gradient gel electrophoresis for monitoring common sourdough-associated Lactobacillus species

A combination of denaturing gradient gel electrophoresis (DGGE) and a previously described multiplex PCR approach was employed to detect sourdough lactobacilli. Primers specific for certain groups of Lactobacillus spp. were used to amplify fragments, which were analyzed by DGGE. DGGE profiles obtained from Lactobacillus type strains acted as standards to analyze lactobacilli from four regional Abruzzo (central Italy) sourdoughs.     

Use of denaturing gradient gel electrophoresis for analysis of the stool microbiota of hospitalized patients

Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified ribosomal RNA gene amplicons was used to study the stool microbiota of hospitalized patients and to examine the effect of antibiotic therapy. For one patient, 16 anaerobic species identified by random cloning and sequencing of PCR-amplified rRNA genes from stool were represented by bands on the DGGE gel. DGGE analysis and similarity index comparisons demonstrated that the anaerobic microbiota of this individual remained stable in the absence of antibiotic therapy, was minimally affected by ciprofloxacin but markedly reduced by clindamycin therapy, and recovery of some organisms was evident within days after discontinuation of clindamycin. DGGE analysis of additional patients demonstrated similar disruptions of the intestinal microbiota associated with antibiotic therapy. The DGGE banding patterns of nine patients showed considerable variability, but several bands were shared among patients. Thus, our findings are consistent with previous studies that utilized culture techniques, and suggest that DGGE is a useful technique for analysis of the stool microbiota of hospitalized patients.     

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.     

排除法PCR加变性梯度凝胶电泳鉴别未知基因

通过鉴别未知的cry4亚组基因来确定排除法PCR加变性梯度凝脉电泳新方法。方法：应用排除法PCR的组基因和亚组基因引物扩增杀蚊毒素基因,cry4。这些引物是根据已知的cyr4基因的共有或特有DNA片段来设计的。组基因引物扩增产物被用于变性梯度凝胶电泳。平行变性梯度凝胶是由8％的聚丙烯酰胺加上20％到80％的变性剂组成。结果：已知的和未知的cry4来组基因被组基因引物扩增的产物在变性梯度凝胶电泳被分离开。尽管它们之间仅有两个碱基对不同（T在位置224和G在位置394）。应用组基因和亚组基因引物扩增,新发现的基因可被分类到次亚组基因水平。从5个苏云金芽孢杆菌亚菌中发现三个未发表的cry4亚组基因。结论：排除法PCR加变性梯度凝胶电泳是一个高度敏感、特异性和可靠性强的新方法,可用于鉴别各种未知的亚组基因。     

PCR‐DGGE Fingerprinting Analysis of Plankton Communities and Its Relationship to Lake Trophic Status

Plankton communities in eight lakes of different trophic status near Yangtze, China were charac‐terized by using denatured gradient gel electrophoresis (DGGE). Various water quality parameters were also measured at each collection site. Following extraction of DNA from plankton communi‐ties, 16S rRNA and 18S rRNA genes were amplified with specific primers for prokaryotes and eu‐karyotes, respectively; DNA profiles were developed by DGGE. The plankton community of each lake had its own distinct DNA profile. The total number of bands identified at 34 sampling stations ranged from 37 to 111. Both prokaryotes and eukaryotes displayed complex fingerprints composed of a large number of bands: 16 to 59 bands were obtained with the prokaryotic primer set; 21 to 52 bands for the eukaryotic primer set. The DGGE‐patterns were analyzed in relation to water quality parameters by canonical correspondence analysis (CCA). Temperature, pH, alkalinity, and the con‐centration of COD, TP and TN were strongly correlated with the DGGE patterns. The parameters that demonstrated a strong correlation to the DGGE fingerprints of the plankton community differed among lakes, suggesting that differences in the DGGE fingerprints were due mainly to lake trophic status. Results of the present study suggest that PCR‐DGGE fingerprinting is an effective and precise method of identifying changes to plankton community composition, and therefore could be a useful ecological tool for monitoring the response of aquatic ecosystems to environmental perturbations. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

High-Resolution Differentiation of Cyanobacteria by Using rRNA-Internal Transcribed Spacer Denaturing Gradient Gel Electrophoresis

For many ecological studies of cyanobacteria, it is essential that closely related species or strains can be discriminated. Since this is often not possible by using morphological features, cyanobacteria are frequently studied by using DNA-based methods. A powerful method for analysis of the diversity and dynamics of microbial populations and for checking the purity and affiliation of cultivated strains is denaturing gradient gel electrophoresis (DGGE). We realized high-resolution discrimination of a variety of cyanobacteria by means of DGGE analysis of sections of the internal transcribed spacer between the 16S and 23S rRNA genes (rRNA-ITS). A forward primer specific for cyanobacteria, targeted at the 3′ end of the 16S rRNA gene, was designed. The combination of this primer and three different reverse primers targeted to the rRNA-ITS or to the 23S rRNA gene yielded PCR products of different sizes from cultures of all 16 cyanobacterial genera that were tested but not from other bacteria. DGGE profiles produced from the shortest section of rRNA-ITS consisted of one band for all but one cyanobacterial genera, and those generated from longer stretches of rRNA-ITS yielded DGGE profiles containing one to four bands. The suitability of DGGE for detecting intrageneric and intraspecific variation was tested by using strains of the genus Microcystis. Many strains could be discriminated by means of rRNA-ITS DGGE, and the resolution of this method was strikingly higher than that obtained with previously described methods. The applicability of the developed DGGE assays for analysis of cyanobacteria in field samples was demonstrated by using samples from freshwater lakes. The advantages and disadvantages associated with the use of each developed primer set are discussed.     

Molecular approach to the characterisation of fungal communities: methods for DNA extraction, PCR amplification and DGGE analysis of painted art objects

A protocol for efficient extraction of fungal DNA from micromycetes colonising painted art objects was developed. Polymerase chain reaction (PCR) inhibitors were successfully removed by a combined application of a Chelex-100 adsorption resin and a Geneclean Kit for Ancient DNA. Universal fungal primers for PCR amplification of 28S rDNA (U1 and U2) were tested for their applicability in denaturing gradient gel electrophoresis (DGGE) analysis of fungal communities. Artificially produced mortar samples inoculated with fungal pure cultures isolated from mural paintings were used as model objects for DNA extractions and DGGE analysis. Good resolution in DGGE was achieved using 260-bp rDNA fragments amplified with U1/DGGE and U2 primers directly from model communities.     

Comparison of CE-SSCP and DGGE for monitoring a complex microbial community remediating mine drainage

Capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) is a promising high-throughput tool for profiling complex bioremediation communities, but has not been well characterized with respect to other methods such as denaturing gradient gel electrophoresis (DGGE). The purpose of this study was to compare CE-SSCP with DGGE with respect to: 1) overall representation of the community in terms of the dominant species identified and corresponding Shannon diversity indices; 2) reproducibility and resolution; and 3) artifacts, using a complex sulfate-reducing community remediating mine drainage as a model system. Some of the dominant microorganisms were detected by both methods, but there were also differences in the reported community compositions, and more phylogenetic groups were detected by CE-SSCP. CE-SSCP Shannon diversity indices were slightly higher than those determined from DGGE data, and differed in terms of the time point at which the community was reported to have the highest diversity. Both methods had high reproducibility, but CE-SSCP resolution was higher in terms of the total number of peaks resolved, reduced co-migration of distinct DNA sequences, and length and legibility of the DNA sequencing data of clones used to identify peaks. Ten double bands in the same lane representing the same species were found by DGGE, whereas only one such artifact was observed by CE-SSCP. Finally, less overall sample preparation and analysis time was required for CE-SSCP than for DGGE. The results suggest that CE-SSCP offers several advantages over DGGE, especially for high-throughput monitoring.     

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.     

Combination of Multiplex PCR and PCR-Denaturing Gradient Gel Electrophoresis for Monitoring Common Sourdough-Associated Lactobacillus Species

A combination of denaturing gradient gel electrophoresis (DGGE) and a previously described multiplex PCR approach was employed to detect sourdough lactobacilli. Primers specific for certain groups of Lactobacillus spp. were used to amplify fragments, which were analyzed by DGGE. DGGE profiles obtained from Lactobacillus type strains acted as standards to analyze lactobacilli from four regional Abruzzo (central Italy) sourdoughs.