Characterization of microbial communities in gas industry pipelines

Culture-independent techniques, denaturing gradient gel electrophoresis (DGGE) analysis, and random cloning of 16S rRNA gene sequences amplified from community DNA were used to determine the diversity of microbial communities in gas industry pipelines. Samples obtained from natural gas pipelines were used directly for DNA extraction, inoculated into sulfate-reducing bacterium medium, or used to inoculate a reactor that simulated a natural gas pipeline environment. The variable V2-V3 (average size, 384 bp) and V3-V6 (average size, 648 bp) regions of bacterial and archaeal 16S rRNA genes, respectively, were amplified from genomic DNA isolated from nine natural gas pipeline samples and analyzed. A total of 106 bacterial 16S rDNA sequences were derived from DGGE bands, and these formed three major clusters: beta and gamma subdivisions of Proteobacteria and gram-positive bacteria. The most frequently encountered bacterial species was Comamonas denitrificans, which was not previously reported to be associated with microbial communities found in gas pipelines or with microbially influenced corrosion. The 31 archaeal 16S rDNA sequences obtained in this study were all related to those of methanogens and phylogenetically fall into three clusters: order I, Methanobacteriales; order III, Methanomicrobiales; and order IV, Methanosarcinales: Further microbial ecology studies are needed to better understand the relationship among bacterial and archaeal groups and the involvement of these groups in the process of microbially influenced corrosion in order to develop improved ways of monitoring and controlling microbially influenced corrosion.     

Characterization of Microbial Communities in Gas Industry Pipelines

Culture-independent techniques, denaturing gradient gel electrophoresis (DGGE) analysis, and random cloning of 16S rRNA gene sequences amplified from community DNA were used to determine the diversity of microbial communities in gas industry pipelines. Samples obtained from natural gas pipelines were used directly for DNA extraction, inoculated into sulfate-reducing bacterium medium, or used to inoculate a reactor that simulated a natural gas pipeline environment. The variable V2-V3 (average size, 384 bp) and V3-V6 (average size, 648 bp) regions of bacterial and archaeal 16S rRNA genes, respectively, were amplified from genomic DNA isolated from nine natural gas pipeline samples and analyzed. A total of 106 bacterial 16S rDNA sequences were derived from DGGE bands, and these formed three major clusters: beta and gamma subdivisions of Proteobacteria and gram-positive bacteria. The most frequently encountered bacterial species was Comamonas denitrificans, which was not previously reported to be associated with microbial communities found in gas pipelines or with microbially influenced corrosion. The 31 archaeal 16S rDNA sequences obtained in this study were all related to those of methanogens and phylogenetically fall into three clusters: order I, Methanobacteriales; order III, Methanomicrobiales; and order IV, Methanosarcinales. Further microbial ecology studies are needed to better understand the relationship among bacterial and archaeal groups and the involvement of these groups in the process of microbially influenced corrosion in order to develop improved ways of monitoring and controlling microbially influenced corrosion.     

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

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

Microbial Diversity in Sediments Collected from the Deepest Cold-Seep Area, the Japan Trench

The Japan Trench land slope at a depth of 6,400 m is the deepest cold-seep environment with Calyptogena communities. Sediment samples from inside and beside the Calyptogena communities were collected, and the microbial diversity in the sediment samples was studied by molecular phylogenetic techniques. From DNA extracted directly from the sediment samples, 16S rDNAs were amplified by the polymerase chain reaction method. The sequences of the amplified 16S rDNAs selected by restriction fragment length polymorphism analysis were determined and compared with sequences in DNA databases. The results showed that 33 different bacterial 16S rDNA sequences from the two samples analyzed fell into similar phylogenetic categories, the α-, γ-, δ-, and ɛ-subdivisions of Proteobacteria, Cytophaga, and gram-positive bacteria; some of the 16S rDNA sequences were common to both samples. δ- and ɛ-Proteobacteria-related sequences were abundant in both sediments. These sequences are mostly related to sulfate-reducing or sulfur-reducing bacteria and epibionts, respectively. Eight different archaeal 16S rDNA sequences were cloned from the sediments. The majority of the archaeal 16S rDNA sequences clustered in Crenarchaeota and showed high similarities to marine group I archaeal rDNA. A Methanococcoides burtonii–related sequence obtained from the sediment clustered in the Euryarchaeota indicating that M. burtonii–related strains in the area of Calyptogena communities may contribute to production of methane in this environment. From these results, we propose a possible model of sulfur circulation within the microbial community and that of Calyptogena clams in the cold-seep environment. Received June 15, 1998; accepted November 10, 1998.     

免培养法对一热泉细菌多样性的初步研究

应用免培养法（Cultureindependent）对云南腾冲热海大滚锅高温热泉中细菌的多样性进行初步的分析。经过克隆筛选,测定了5个克隆的16S rDNA插入片段的近全序列,系统发育分析的结果表明,它们分属于Bacillus、Hydrogenobacter和Pseudomonas,有一个克隆尚难确定其分类地位,它属于Thermodesulfobacteriaceae科,介于Geothermbacterium属和Thermodesulfobacteria属之间。经PCR扩增出上述5个克隆16S rDNA插入序列中及环境样品总DNA中的16S rDNA V8高变区约600bp片段,进行变性梯度电泳（DGGE）。所得电泳图谱和5个序列的系统发育树不仅表明该高温热泉存在着丰富的细菌多样性,还显示了它们是该高温热泉中细菌的优势物种。     

Study of microbial community structures in UASB sludge treating municipal wastewater by denaturing gradient gel electrophoresis of 16S rDNA

The structures of microbial communities in lab-scale upflow anaerobic sludge blanket (UASB) reactors for treating municipal wastewater with different ratios of COD soluble/COD total were studied using denaturing gradient gel electrophoresis (DGGE) of 16S rRNA genes.The microbial structure of the inoculum sludge obtained from a full-scale UASB reactor of treating potato processing wastewater was compared with the structures of sludges collected from three lab-scale UASB reactors after eight months feeding with raw municipal wastewater, with CEPS (chemically enhanced primary sedimentation) pretreated municipal wastewater, and with a synthetic municipal sewage, respectively. Computer-aided numerical analysis of the DGGE fingerprints showed that the bacterial community underwent major changes. The sludges for treating raw and CEPS pretreated wastewater had very similar bacterial and archaeal communities (82%and 96% similarity) but were different from that for treating the synthetic sewage. Hence, despite similar % COD in the particulate form in the synthetic and the real wastewater, the two wastewaters were selected for different microbial communities. Prominent DGGE bands of Bacteria and Archaea were purified and sequenced. The 16S rRNA gene sequences of the dominant archaeal bands found in the inoculum, and UASB sludge fed with raw sewage, CEPS pretreated wastewater, and synthetic sewage were closely associated with Methanosaeta concilii. In the UASB sludge fed with synthetic sewage, another dominant band associated with an uncultured archaeon 39-2 was found together with M. concilii.     

Examination of two years of community dynamics in an anaerobic bioreactor using fluorescence polymerase chain reaction (PCR) single-strand conformation polymorphism analysis

The structures of the bacterial and archaeal communities in an anaerobic digester were monitored over a 2 year period. The study was performed on a fluidized bed reactor fed with vinasse. The objective was to characterize the population dynamics over a long time period under constant environmental parameters. Total bacterial and archaeal populations were measured independently by fluorescence-based polymerase chain reaction (PCR) single-strand conformation polymorphism (SSCP) analysis using an automated DNA sequencer. With the current level of accuracy, the technique was able to monitor 45 bacterial and seven archaeal 16S rDNA molecules. The community dynamics were compared with molecular inventories of the microbial community based on 16S rDNA sequences done at the beginning of the study. The six archaeal and the 22 most frequent bacterial operational taxonomic units (OTUs) identified were associated with their SSCP peak counterparts. Overall, the data indicated that, throughout the period of the study, rapid significant shifts in the species composition of the bacterial community occurred, whereas the archaeal community remained relatively stable.     

舌苔细菌PCR-DGGE分析条件的建立与优化

目的 针对口腔舌苔细菌16S rDNA序列进行变性梯度凝胶电泳（denaturing gradient gel electrophoresis,DGGE）适用序列的筛选及电泳条件的优化。方法 以DGGE图谱的高分辨率为指标,选择舌苔细菌DGGE分离最适的16S rDNA高变区、电泳电压和电泳时间,并采用优化的条件分析健康青年人舌苔细菌群落的分布。结果 舌苔细菌16S rDNA V3高变区引物序列能获得更加丰富清晰的DGGE条带;基于该区,当变性剂浓度为30%~60%、电泳温度60 ℃、电压60 V和电泳时间14 h时能得到分辨率最佳的DGGE图谱。运用此优化条件对12个样本舌苔细菌群落的分析表明,舌苔微生物主要由厚壁菌门、梭杆菌门、拟杆菌门和变形菌门等组成。优化后的DGGE技术对舌苔细菌多样性的分析具有准确性、灵敏性和可重复性。结论 DGGE图谱显示,不同分析条件对图谱类型和细菌多样性指数均有所差异。利用优化的DGGE条件能有效分离舌苔细菌16S rDNA V3区序列,为口腔微生物群落结构分析提供可靠的技术支持,也为其他不同生态细菌的多样性分析提供参考。     

Vertical distribution of bacterial and archaeal communities along discrete layers of a deep-sea cold sediment sample at the East Pacific Rise (∼13°N)

The community structure and vertical distribution of prokaryotes in a deep-sea (ca. 3,191 m) cold sediment sample (ca. 43 cm long) collected at the East Pacific Rise (EPR) approximately 13 degrees N were studied with 16SrDNA-based molecular analyses. Total community DNA was extracted from each of four discrete layers EPRDS-1, -2, -3 and -4 (from top to bottom) and 16S rDNA were amplified by PCR. Cluster analysis of DGGE profiles revealed that the bacterial communities shifted sharply between EPRDS-1 and EPRDS-2 in similarity coefficient at merely 49%. Twenty-three sequences retrieved from DGGE bands fell into 11 groups based on BLAST and bootstrap analysis. The dominant groups in the bacterial communities were Chloroflexi, Gamma proteobacteria, Actinobacterium and unidentified bacteria, with their corresponding percentages varying along discrete layers. Pairwise Fst (F-statistics) values between the archaeal clone libraries indicated that the archaeal communities changed distinctly between EPRDS-2 and EPRDS-3. Sequences from the archaeal libraries were divided to eight groups. Crenarchaea Marine Group I (MGI) was prevalent in EPRDS-1 at 83%, while Uncultured Crenarchaea group II B (UCII B) abounded in EPRDS-4 at 61%. Our results revealed that the vertically stratified distribution of prokaryotic communities might be in response to the geochemical settings and suggested that the sampling area was influenced by hydrothermalism. The copresence of members related to hydrothermalism and cold deep-sea environments in the microbial community indicated that the area might be a transitional region from hydrothermal vents to cold deep-sea sediments.     

Methanogen community structure in the rumens of farmed sheep, cattle and red deer fed different diets

Development of inhibitors and vaccines that mitigate rumen-derived methane by targeting methanogens relies on knowledge of the methanogens present. We investigated the composition of archaeal communities in the rumens of farmed sheep (Ovis aries), cattle (Bos taurus) and red deer (Cervus elaphus) using denaturing gradient gel electrophoresis (DGGE) to generate fingerprints of archaeal 16S rRNA genes. The total archaeal communities were relatively constant across species and diets, and were less variable and less diverse than bacterial communities. There were diet- and ruminant-species-based differences in archaeal community structure, but the same dominant archaea were present in all rumens. These were members of three coherent clades: species related to Methanobrevibacter ruminantium and Methanobrevibacter olleyae; species related to Methanobrevibacter gottschalkii, Methanobrevibacter thaueri and Methanobrevibacter millerae; and species of the genus Methanosphaera. Members of an archaeal group of unknown physiology, designated rumen cluster C (RCC), were also present. RCC-specific DGGE, clone library analysis and quantitative real-time PCR showed that their 16S rRNA gene sequences were very diverse and made up an average of 26.5% of the total archaea. RCC sequences were not readily detected in the DGGE patterns of total archaeal 16S rRNA genes because no single sequence type was abundant enough to form dominant bands.     

Profile of Microbial Community Structure and Presence of Endolithic Microorganisms Inside a Deep-Sea Rock

Microbial community structure in the depth profile of a deep-sea sedimentary rock collected from the Sanriku Escarpment in the Japan Trench at a depth of 6337 m were analyzed using enrichment culture methods and culture-independent molecular phylo-genetic techniques. The rock was subsampled at four depths (S1 to S4; from the surface to the inside), and carbon concentrations and colony-forming units (CFU) were determined under several culture conditions. Terminal-restriction fragment length polymorphism (T-RFLP) analysis of PCR-amplified 16S rRNA gene (rDNA) sequences indicated that a shift in bacterial and archaeal ribotype structures occurred in the sections at different depths from the surface. rDNA clone analysis revealed a significant change in microbial rDNA community structure. Bacterial community rDNA in sections S1 to S3 consisted of typical marine bacteria mainly members of the f and n -subclass of Proteobacteria, while the inner most section, S4, contained rDNA signatures for the g -subclass of Proteobacteria and the High G + C Gram-Positive Group. Major archaeal rDNA clones shifted from Marine Group I (S1) to Thermococcales (S2-S4). The changes in bacterial and archaeal rDNA community structure indicated the possible infiltration of seawater and microorganisms into the rock and strongly suggested the isolation of endolithic microbial communities over the geological history of the rock.     

Study of microbial community structures in UASB sludge treating municipal wastewater by denaturing gradient gel electrophoresis of 16S rDNA

The structures of microbial communities in lab-scale upflow anaerobic sludge blanket (UASB) reactors for treating municipal wastewater with different ratios of COD_soluble/ COD_total were studied using denaturing gradient gel electrophoresis (DGGE) of 16S rRNA genes. The microbial structure of the inoculum sludge obtained from a full-scale UASB reactor of treating potato processing wastewater was compared with the structures of sludges collected from three lab-scale UASB reactors after eight months feeding with raw municipal wastewater, with CEPS (chemically enhanced primary sedimentation) pretreated municipal wastewater, and with a synthetic municipal sewage, respectively. Computer-aided numerical analysis of the DGGE fingerprints showed that the bacterial community underwent major changes. The sludges for treating raw and CEPS pretreated wastewater had very similar bacterial and archaeal communities (82% and 96% similarity) but were different from that for treating the synthetic sewage. Hence, despite similar % COD in the particulate form in the synthetic and the real wastewater, the two wastewaters were selected for different microbial communities. Prominent DGGE bands of Bacteria and Archaea were purified and sequenced. The 16S rRNA gene sequences of the dominant archaeal bands found in the inoculum, and UASB sludge fed with raw sewage, CEPS pretreated wastewater, and synthetic sewage were closely associated withMethanosaeta concilii. In the UASB sludge fed with synthetic sewage, another dominant band associated with an uncultured archaeon 39-2 was found together withM. concilii.     

Direct comparison of single-strand conformation polymorphism (SSCP) and denaturing gradient gel electrophoresis (DGGE) to characterize a microbial community on the basis of 16S rRNA gene fragments

Characterization of microbial communities using single-strand conformation polymorphism (SSCP) was compared with that using denaturing gradient gel electrophoresis (DGGE). This comparison was based on the V3-4 region (Escherichia coli positions: 341-806) of 16S rRNA gene of bacterial or archaeal communities obtained from a methanogenic bioreactor. Significant differences in the bacterial banding profiles were observed while attempting to detect the diversity of the community and its succession during the reactor operation. The SSCP produced a number of sharp bands and differentiated the bacterial community structures to which the DGGE gave an identical pattern. On the other hand, the SSCP and DGGE provided similar succession patterns for archaeal community.     

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.     

Ecophysiology and geochemistry of microbial arsenic oxidation within a high arsenic, circumneutral hot spring system of the Alvord Desert

Microbial metabolism of arsenic has gained considerable interest, due to the potential of microorganisms to drive arsenic cycling and significantly influence the geochemistry of naturally arsenic-rich or anthropogenically arsenic-polluted environments. Alvord Hot Spring in southeastern Oregon is a circumneutral hot spring with an average arsenic concentration of 4.5 mg L(-1) (60 microM). Hydrogeochemical analyses indicated significant arsenite oxidation, increased pH and decreased temperature along the stream channels flowing into Alvord Hot Spring. The dynamic range of pH and temperature over the length of three stream channels were 6.76-7.06 and 69.5-78.2 degrees C, respectively. Biofilm samples showed As(III) oxidation ex situ. 16S rRNA gene studies of sparse upstream biofilm indicated a dominance of bacteria related to Sulfurihydrogenibium, Thermus, and Thermocrinis. The lush downstream biofilm community included these same three groups but was more diverse with sequences related to uncultured OP10 bacterial phylum, uncultured Bacteroidetes, and an uncultured clade. Isolation of an arsenite oxidizer was conducted with artificial hot spring medium and yielded the isolate A03C, which is closely related to Thermus aquaticus based on 16S rRNA gene analysis. Thus, this study demonstrated the bacterial diversity along geochemical gradients of temperature, pH and As(III): As(V), and provided evidence of microbial arsenite oxidation within the Alvord Hot Spring system.     

16S rDNA characterisation of bacterial and archaeal communities during start-up of anaerobic thermophilic digestion of cattle manure

A laboratory-scale continuously stirred anaerobic thermophilic batch digester was inoculated with cattle manure. Bacterial and archaeal communities, as well as digester performances, were analysed during reactor start-up for about 20 days. Polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) was used for overall detection and for study of the dynamics of microbial populations. Dominant bacteria and archaea 16S rDNAs were sequenced from the sample on day 12. Ten bacteria and 3 archaea OTUs (operational taxonomic units) were identified from the 52 clones sequenced. Sequences corresponding to the dominant bacterial SSCP peak were phylogenetically close to the 16S rDNA sequence of Bacillus thermoterrestris, whereas sequences corresponding to the two dominant archaeal SSCP peaks were phylogenetically close to the 16S rDNA sequence of Methanoculleus thermophilicus and Methanosarcina thermophila.     

Study of microbial community structures in UASB sludge treating municipal wastewater by denaturing gradient gel electrophoresis of 16S rDNA

The structures of microbial communities in lab-scale upflow anaerobic sludge blanket (UASB) reactors for treating municipal wastewater with different ratios of COD soluble/ COD total were studied using denaturing gradient gel electrophoresis (DGGE) of 16S rRNA genes. The microbial structure of the inoculum sludge obtained from a full-scale UASB reactor of treating potato processing wastewater was compared with the structures of sludges collected from three lab-scale UASB reactors after eight months feeding with raw municipal wastewater, with CEPS (chemically enhanced primary sedimentation) pretreated municipal wastewater, and with a synthetic municipal sewage, respectively. Computer-aided numerical analysis of the DGGE fingerprints showed that the bacterial community underwent major changes. The sludges for treating raw and CEPS pretreated wastewater had very similar bacterial and archaeal communities (82% and 96% similarity) but were different from that for treating the synthetic sewage. Hence, despite     

南海西沙海槽表层沉积物微生物多样性

利用非培养的分子技术研究了西沙海槽表层沉积物中的微生物群落.沉积物中扩增的古菌16S rDNA 序列分属两个大类:泉古生菌(Crenarchaeota)和广古生菌(Euryarchaeota).以Marine Crenarchaeotic GroupⅠ (古菌16S rDNA文库的49.2%)和Terrestrial Miscellaneous Euryarchaeotal Group (16.9%)为主要类群;其余为Marine Benthic Group B (9.7%)、 Marine Benthic Group A (4%)、 Marine Benthic Group D (1.6%)、Novel Euryarchaeotic Group (0.8%)和 C3(0.8%).细菌克隆子多样性明显高于古菌,16S rDNA序列分别来自变形杆菌(Proteobacteria)(细菌16S rDNA文库的30.5%)、浮霉菌(Planctomycetes)(20.3%)、放线菌(Actinobacteria)(14.4%)、厚壁菌(Firmicutes)(15.3%)、屈桡杆菌(Chloroflexi)(8.5%)、酸杆菌(Acidobacteria)(3.4%)、candidate division OP8 (2.5%)、拟杆菌/绿菌(Bacterioidetes/Chlorobi)(1.7%)和疣微菌(Verrucomicrobia)(1.7%).变形杆菌为优势类群(包括Alpha-和Delta-Proteobacteria亚群).多数克隆子为未培养细菌和古菌.结果表明南海表层沉积物中蕴含大量未知的微生物资源.