大港孔店油田水驱油藏微生物群落的分子分析

通过多聚酶链式反应温度梯度凝胶电泳（PCRTGGE）和构建16S rRNA基因克隆文库两种方法对比研究了大港油田孔二北断块注水井和采油井的微生物群落结构。16S rDNA V3区PCR扩增产物的TGGE图谱分析表明,这两个油井的微生物群落结构差异很大。注水井样品的TGGE图谱中有6条主要条带,而采油井样品中只有一个条带占绝对优势。同时,建立了两个样品的16S rRNA基因克隆文库,从中分别挑选了108和50个克隆进行限制性酶切片段长度多样性分析（ARDRA）。注水井样品有33个操作分类单元（OUT）,其中6个OUT是优势类型;而采油井样品只有8个OUT,有1个OUT在文库中占绝对优势。克隆文库和TGGE的研究结果一致,均表明注水井样品的微生物多样性比采油井丰富很多。每个OUT的代表克隆序列分析结果表明,注水井样品中的细菌主要属于α、β、γ变形菌纲和放线菌纲,尤其是红细菌亚纲（47%）。采油井样品的细菌主要属于α、β、γ变形菌纲,尤其是假单胞菌属（62%）。油藏微生物多样性的分子分析可为开展微生物采油技术研究奠定基础。     

喹啉与吲哚驯化的反硝化反应器的微生物群落结构分析比较

[目的]本研究旨在比较分析分别以喹啉和吲哚为底物,在相同条件下驯化的两个反硝化生物反应器的微生物群落结构.[方法]采用相同的种子污泥和相同的驯化条件,经过大约6周的驯化后,两个反应器均达到稳定而高效的污染物去除能力,通过16S rDNA克隆文库技术对两个反应器的微生物群落结构进行研究.[结果]研究发现,微生物群落结构表现出很大的差异.喹啉驯化的群落中所有的OTU都属于Betaproteobacteria,而吲哚驯化的群落中Betaproteobacteria占56.3%,吲哚驯化的群落具有更高的多样性.两个群落的优势OTU也不同,喹啉驯化群落中Thauera及其它Rhodocyclaceae科的微生物占整个群落的73%,而吲哚驯化群落中优势OTU为Comamonadaceae科、Alcaligenaceae科和Rhodocyclaceae科等类型的微生物,其中Comamonadaceae科的一个OTU占整个群落的28.7%.[结论]不同的驯化底物对微生物群落的组成具有较强的选择作用.首次报道并比较了可高效降解喹啉和吲哚的反硝化生物反应器的微生物群落结构.     

Characterization of the methanogenic Archaea within two-phase biogas reactor systems operated with plant biomass

The two-phase leach-bed system is a biogas reactor system optimized for the utilization of energy crop silages at maximized loading rates under maintenance of an optimal microbial activity. In this study, a characterization of the methanogenic microbial community within this reactor system was conducted for the first time. Accordingly, effluent samples from the anaerobic filter and the silage digesting leach-bed reactors of both a laboratory-scale two-phase biogas reactor system and a scaled-up commercial on-farm pilot plant were investigated. In total, five Archaea-specific 16S rDNA libraries were constructed and analyzed by amplified rDNA restriction analysis (ARDRA), with subsequent phylogenetic analysis of nucleotide sequences for individual ARDRA patterns. A quantification of major methanogenic Archaea groups was conducted by real-time PCR. A total of 663 clones were analyzed and 45 operational taxonomic units (OTUs) related to methanogenic Archaea were detected. These OTUs were related to the orders Methanosarcinales, Methanomicrobiales and Methanobacteriales, as well as the hitherto uncultured CA-11 and ARC-I groups, and most of them occurred throughout all the compartments of both two-phase biogas reactors. The proportion of acetotrophic to hydrogenotrophic methanogens differed between the laboratory and the pilot scale system. A total of 56% of the clones from the 16S rDNA library derived from the laboratory biogas system were assigned to presumably acetotrophic members of Methanosarcinales. In contrast, these OTUs were less abundant in the 16S rDNA library derived from samples of the pilot plant. Therein, the most dominant OTUs were Methanoculleus-related OTUs, which presumably indicated the predominant presence of hydrogenotrophic methanogens. These findings were confirmed by group-specific quantitative real-time PCR assays. The results indicated that the fraction of acetotrophic and hydrogenotrophic methanogens within a biogas reactor caused certain variations, which may reflect varying substrate utilization during methanogenesis.     

Microbial diversity and heterogeneity in sandy subsurface soils

Microbial community diversity and heterogeneity in saturated and unsaturated subsurface soils from Abbott's Pit in Virginia (1.57, 3.25, and 4.05 m below surface) and Dover Air Force Base in Delaware (6.00 and 7.50 m below surface) were analyzed using a culture-independent small-subunit (SSU) rRNA gene (rDNA)-based cloning approach. Four to six dominant operational taxonomic units (OTUs) were identified in 33 to 100 unique SSU rDNA clones (constituting about 40 to 50% of the total number of SSU rDNA clones in the clone library) from the saturated subsurface samples, whereas no dominant OTUs were observed in the unsaturated subsurface sample. Less than 10% of the clones among samples from different depths at the same location were identical, and the proportion of overlapping OTUs was lower for the samples that were vertically far apart than for adjacent samples. In addition, no OTUs were shared between the Abbott's Pit and Dover samples. The majority of the clones (80%) had sequences that were less than 5% different from those in the current databases. Phylogenetic analysis indicated that most of the bacterial clones were affiliated with members of the Proteobacteria family (90%), gram-positive bacteria (3%), and members of the Acidobacteria family (3%). Principal component analysis revealed that samples from different geographic locations were well separated and that samples from the same location were closely grouped together. In addition, the nonsaturated subsurface samples from Abbott's Pit clustered together and were well separated from the saturated subsurface soil sample. Finally, the overall diversity of the subsurface samples was much lower than that of the corresponding surface soil samples.     

Rare taxa have potential to make metabolic contributions in enhanced biological phosphorus removal ecosystems

Enhanced biological phosphorus removal (EBPR) relies on diverse but specialized microbial communities to mediate the cycling and ultimate removal of phosphorus from municipal wastewaters. However, little is known about microbial activity and dynamics in relation to process fluctuations in EBPR ecosystems. Here, we monitored temporal changes in microbial community structure and potential activity across each bioreactor zone in a pilot‐scale EBPR treatment plant by examining the ratio of small subunit ribosomal RNA (SSU rRNA) to SSU rRNA gene (rDNA) over a 120 day study period. Although the majority of operational taxonomic units (OTUs) in the EBPR ecosystem were rare, many maintained high potential activities based on SSU rRNA : rDNA ratios, suggesting that rare OTUs contribute substantially to protein synthesis potential in EBPR ecosystems. Few significant differences in OTU abundance and activity were observed between bioreactor redox zones, although differences in temporal activity were observed among phylogenetically cohesive OTUs. Moreover, observed temporal activity patterns could not be explained by measured process parameters, suggesting that other ecological drivers, such as grazing or viral lysis, modulated community interactions. Taken together, these results point towards complex interactions selected for within the EBPR ecosystem and highlight a previously unrecognized functional potential among low abundance microorganisms in engineered ecosystems.     

昆明盐矿古老岩盐沉积中的原核生物多样性

应用PCR-DGGE和rRNA分析法研究了昆明盐矿古老岩盐沉积中的原核生物多样性。样品的细菌DGGE分析得到27条带,古菌得到18条带。样品与纯培养得到的19个属菌株的DGGE图谱对比分析发现,细菌18个属菌株,只有1个属菌株与样品中的1条带迁移位置都不一致;古菌1个属的菌株不与样品中任何条带迁移位置一致。表明纯培养所得菌株并非该环境中的优势类群。同时,建立了样品细菌和古菌的16S rDNA克隆文库,从中分别挑取36个细菌克隆和20个古菌克隆进行ARDRA分析。细菌可分为10个OTUs,其中3个OTUs是优势类群,分别占38.9%,25.0%,16.7%,其余7个OTUs各含有1个克隆。古菌分为8个OTUs,没有明显的优势类群。每个OTU的代表克隆16S rDNA序列分析表明,细菌分属3大类群:α-Proteobacteria,γ-Proteobacteria和Actinobacteria,以Pseudomonas属菌为优势,含有其它岩盐沉积中没有发现的Actinobacteria。古菌主要是Halorubrum属、Haloterrigena属菌和未培养古菌。本研究表明,昆明盐矿古老岩盐沉积具有较丰富的原核生物多样性,含有大量未知的、未培养或不可培养的原核生物,但在原核生物物种组成和丰度上,免培养与此前的纯培养研究结果存在一定差异。因此,结合使用两类方法才能较全面地认识高盐极端环境微生物的多样性。     

Microbial Diversity and Heterogeneity in Sandy Subsurface Soils

Microbial community diversity and heterogeneity in saturated and unsaturated subsurface soils from Abbott's Pit in Virginia (1.57, 3.25, and 4.05 m below surface) and Dover Air Force Base in Delaware (6.00 and 7.50 m below surface) were analyzed using a culture-independent small-subunit (SSU) rRNA gene (rDNA)-based cloning approach. Four to six dominant operational taxonomic units (OTUs) were identified in 33 to 100 unique SSU rDNA clones (constituting about 40 to 50% of the total number of SSU rDNA clones in the clone library) from the saturated subsurface samples, whereas no dominant OTUs were observed in the unsaturated subsurface sample. Less than 10% of the clones among samples from different depths at the same location were identical, and the proportion of overlapping OTUs was lower for the samples that were vertically far apart than for adjacent samples. In addition, no OTUs were shared between the Abbott's Pit and Dover samples. The majority of the clones (80%) had sequences that were less than 5% different from those in the current databases. Phylogenetic analysis indicated that most of the bacterial clones were affiliated with members of the Proteobacteria family (90%), gram-positive bacteria (3%), and members of the Acidobacteria family (3%). Principal component analysis revealed that samples from different geographic locations were well separated and that samples from the same location were closely grouped together. In addition, the nonsaturated subsurface samples from Abbott's Pit clustered together and were well separated from the saturated subsurface soil sample. Finally, the overall diversity of the subsurface samples was much lower than that of the corresponding surface soil samples.     

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.     

Kinetic Bias in Estimates of Coastal Picoplankton Community Structure Obtained by Measurements of Small-Subunit rRNA Gene PCR Amplicon Length Heterogeneity

Marine bacterioplankton diversity was examined by quantifying natural length variation in the 5′ domain of small-subunit (SSU) rRNA genes (rDNA) amplified by PCR from a DNA sample from the Oregon coast. This new technique, length heterogeneity analysis by PCR (LH-PCR), determines the relative proportions of amplicons originating from different organisms by measuring the fluorescence emission of a labeled primer used in the amplification reaction. Relationships between the sizes of amplicons and gene phylogeny were predicted by an analysis of 366 SSU rDNA sequences from cultivated marine bacteria and from bacterial genes cloned directly from environmental samples. LH-PCR was used to compare the distribution of bacterioplankton SSU rDNAs from a coastal water sample with that of an SSU rDNA clone library prepared from the same sample and also to examine the distribution of genes in the PCR products from which the clone library was prepared. The analysis revealed that the relative frequencies of genes amplified from natural communities are highly reproducible for replicate sets of PCRs but that a bias possibly caused by the reannealing kinetics of product molecules can skew gene frequencies when PCR product concentrations exceed threshold values.     

Profiling Nematode Communities in Unmanaged Flowerbed and Agricultural Field Soils in Japan by DNA Barcode Sequencing

Soil nematodes play crucial roles in the soil food web and are a suitable indicator for assessing soil environments and ecosystems. Previous nematode community analyses based on nematode morphology classification have been shown to be useful for assessing various soil environments. Here we have conducted DNA barcode analysis for soil nematode community analyses in Japanese soils. We isolated nematodes from two different environmental soils of an unmanaged flowerbed and an agricultural field using the improved flotation-sieving method. Small subunit (SSU) rDNA fragments were directly amplified from each of 68 (flowerbed samples) and 48 (field samples) isolated nematodes to determine the nucleotide sequence. Sixteen and thirteen operational taxonomic units (OTUs) were obtained by multiple sequence alignment from the flowerbed and agricultural field nematodes, respectively. All 29 SSU rDNA-derived OTUs (rOTUs) were further mapped onto a phylogenetic tree with 107 known nematode species. Interestingly, the two nematode communities examined were clearly distinct from each other in terms of trophic groups: Animal predators and plant feeders were markedly abundant in the flowerbed soils, in contrast, bacterial feeders were dominantly observed in the agricultural field soils. The data from the flowerbed nematodes suggests a possible food web among two different trophic nematode groups and plants (weeds) in the closed soil environment. Finally, DNA sequences derived from the mitochondrial cytochrome oxidase c subunit 1 (COI) gene were determined as a DNA barcode from 43 agricultural field soil nematodes. These nematodes were assigned to 13 rDNA-derived OTUs, but in the COI gene analysis were assigned to 23 COI gene-derived OTUs (cOTUs), indicating that COI gene-based barcoding may provide higher taxonomic resolution than conventional SSU rDNA-barcoding in soil nematode community analysis.     

Changes in archaeal,bacterial and eukaryal assemblages along a salinity gradient by comparison of genetic fingerprinting methods in a multipond solar saltern

Microbial communities inhabiting a multipond solar saltern were analysed and compared using SSU rRNA polymerase chain reaction (PCR)-based fingerprintings carried out in parallel by four laboratories. A salinity gradient from seawater (3.7%) to NaCl precipitation (37%) was studied for Bacteria, Archaea and Eukarya, and laboratories applied their own techniques and protocols on the same set of samples. Members of all three domains were retrieved from all salt concentrations. Three fingerprinting techniques were used: denaturing gradient gel electrophoresis (DGGE), ribosomal internal spacer analysis (RISA), and terminal-restriction fragments length polymorphism (T-RFLP). In addition, each laboratory used its own biomass collection method and DNA extraction protocols. Prokaryotes were addressed using DGGE and RISA with different 'domain-specific' primers sets. Eukaryotes were analysed by one laboratory using DGGE and T-RFLP, but targeting the same 18S rDNA site. Fingerprints were compared through cluster analysis and non-metric multidimensional scaling plots. This exercise allowed fast comparison of microbial assemblages and determined to what extent the picture provided by each laboratory was similar to those of others. Formation of two main, salinity-based groups of samples in prokaryotes (4-15% and 22-37% salinity) was consistent for all the laboratories. When other clusters appeared, this was a result of the particular technique and the protocol used in each case, but more affected by the primers set used. Eukaryotic microorganisms changed more from pond to pond; 4-5% and 8-37% salinity were but the two main groups detected. Archaea showed the lowest number of bands whereas Eukarya showed the highest number of operational taxonomic units (OTUs) in the initial ponds. Artefacts appeared in the DGGE from ponds with extremely low microbial richness. On the other hand, different 16S rDNA fragments with the same restriction or internal transcribed spacer (ITS) length were the main limitations for T-RFLP and RISA analyses, respectively, in ponds with the highest OTUs richness. However, although the particular taxonomic composition could vary among protocols, the general structure of the microbial assemblages was maintained.     

Groundtruthing next-gen sequencing for microbial ecology-biases and errors in community structure estimates from PCR amplicon pyrosequencing

Analysis of microbial communities by high-throughput pyrosequencing of SSU rRNA gene PCR amplicons has transformed microbial ecology research and led to the observation that many communities contain a diverse assortment of rare taxa-a phenomenon termed the Rare Biosphere. Multiple studies have investigated the effect of pyrosequencing read quality on operational taxonomic unit (OTU) richness for contrived communities, yet there is limited information on the fidelity of community structure estimates obtained through this approach. Given that PCR biases are widely recognized, and further unknown biases may arise from the sequencing process itself, a priori assumptions about the neutrality of the data generation process are at best unvalidated. Furthermore, post-sequencing quality control algorithms have not been explicitly evaluated for the accuracy of recovered representative sequences and its impact on downstream analyses, reducing useful discussion on pyrosequencing reads to their diversity and abundances. Here we report on community structures and sequences recovered for in vitro-simulated communities consisting of twenty 16S rRNA gene clones tiered at known proportions. PCR amplicon libraries of the V3-V4 and V6 hypervariable regions from the in vitro-simulated communities were sequenced using the Roche 454 GS FLX Titanium platform. Commonly used quality control protocols resulted in the formation of OTUs with >1% abundance composed entirely of erroneous sequences, while over-aggressive clustering approaches obfuscated real, expected OTUs. The pyrosequencing process itself did not appear to impose significant biases on overall community structure estimates, although the detection limit for rare taxa may be affected by PCR amplicon size and quality control approach employed. Meanwhile, PCR biases associated with the initial amplicon generation may impose greater distortions in the observed community structure.     

Molecular analyses of the methane-oxidizing microbial community in rice field soil by targeting the genes of the 16S rRNA, particulate methane monooxygenase, and methanol dehydrogenase

Rice field soil with a nonsaturated water content induced CH4 consumption activity when it was supplemented with 5% CH4. After a lag phase of 3 days, CH4 was consumed rapidly until the concentration was less than 1.8 parts per million by volume (ppmv). However, the soil was not able to maintain the oxidation activity at near-atmospheric CH4 mixing ratios (i.e., 5 ppmv). The soil microbial community was monitored by performing denaturing gradient gel electrophoresis (DGGE) during the oxidation process with different PCR primer sets based on the 16S rRNA gene and on functional genes. A universal small-subunit (SSU) ribosomal DNA (rDNA) primer set and 16S rDNA primer sets specifically targeting type I methylotrophs (members of the gamma subdivision of the class Proteobacteria [gamma-Proteobacteria]) and type II methylotrophs (members of the alpha-Proteobacteria) were used. Functional PCR primers targeted the genes for particulate methane monooxygenase (pmoA) and methanol dehydrogenase (mxaF), which code for key enzymes in the catabolism of all methanotrophs. The yield of PCR products amplified from DNA in soil that oxidized CH4 was the same as the yield of PCR products amplified from control soil when the universal SSU rDNA primer set was used but was significantly greater when primer sets specific for methanotrophs were used. The DGGE patterns and the sequences of major DGGE bands obtained with the universal SSU rDNA primer set showed that the community structure was dominated by nonmethanotrophic populations related to the genera Flavobacterium and Bacillus and was not influenced by CH4. The structure of the methylotroph community as determined with the specific primer sets was less complex; this community consisted of both type I and type II methanotrophs related to the genera Methylobacter, Methylococcus, and Methylocystis. DGGE profiles of PCR products amplified with functional gene primer sets that targeted the mxaF and pmoA genes revealed that there were pronounced community shifts when CH4 oxidation began. High CH4 concentrations stimulated both type I and II methanotrophs in rice field soil with a nonsaturated water content, as determined with both ribosomal and functional gene markers.     

PCR-RFLP分析桉树人工林土壤微生物的群落结构

本研究利用限制性内切酶片段长度多态性(RFLP)和16S rDNA序列分析相结合的方法研究了广西南宁高峰林场人工桉树林中土壤微生物的群落结构.通过采用直接法提取桉树人工林土壤中微生物总DNA,构建细菌的16S rDNA克隆文库,从中随机挑取了192个阳性克隆进行检测,分析显示188个阳性克隆子确定含有16S rDNA并分归为52个不同的类群OTUs,随机挑取其中35个克隆进行测序,并构建了系统发育进化树.研究结果表明:桉树人工林土壤中细菌种类较为丰富,含有大量的未培养微生物,进一步的序列分析表明桉树人工林土壤中占优势的类群分别为Acidobacteria(40%)和Proteobacteria(27%).本研究对桉树人工林土壤微生物群落结构进行了研究,为进一步研究桉树人工林环境质量变化提供基础资料.     

Heteroduplex resolution using T7 endonuclease I in microbial community analyses

Microbial community analyses using molecular techniques, such as PCR followed by genomic library construction, have been helpful in better understanding microbial communities. This is especially critical in ecological systems where most of the microbes present cannot be cultured using traditional techniques. Unfortunately, there are problems associated with the use of such molecular techniques for the analysis of microbial community structure, primarily from the frequent formation of PCR artifacts. Multitemplate PCR is often subject to errors such as heteroduplex formation that is generated during the amplification of a particular gene from a mixed community of DNA. Based on work in this laboratory, heteroduplexes may be resolved before carrying out genomic library construction by including a digestion step with T7 endonuclease I. Here, the 18S rDNA gene of fungi was amplified from soil community DNA and digested with T7 endonuclease I to resolve any heteroduplexes present in the PCR product before cloning. These samples were compared with replicates that did not receive the T7 endonuclease I treatment. Digestion of the amplified community 18S rDNA with 10 U T7 endonuclease I/microgram DNA prior to cloning eliminated heteroduplexes, leaving only the desired clones. Without the T7 endonuclease I treatment, heteroduplexes were produced in approximately 10% of the recombinants screened. The addition of this step may eliminate heteroduplexes from PCR products and ensure that subsequent genomic library construction is not compromised.     

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.     

Mathematical modeling of 16S ribosomal DNA amplification reveals optimal conditions for the interrogation of complex microbial communities with phylogenetic microarrays

MOTIVATION: Many current studies of complex microbial communities rely on the isolation of community genomic DNA, amplification of 16S ribosomal RNA genes (rDNA) and subsequent examination of community structure through interrogation of the amplified 16S rDNA pool by high-throughput sequencing, phylogenetic microarrays or quantitative PCR. RESULTS: Here we describe the development of a mathematical model aimed to simulate multitemplate amplification of 16S ribosomal DNA sample and subsequent detection of these amplified 16S rDNA species by phylogenetic microarray. Using parameters estimated from the experimental results obtained in the analysis of intestinal microbial communities with Microbiota Array, we show that both species detection and the accuracy of species abundance estimates depended heavily on the number of PCR cycles used to amplify 16S rDNA. Both parameters initially improved with each additional PCR cycle and reached optimum between 15 and 20 cycles of amplification. The use of more than 20 cycles of PCR amplification and/or more than 50 ng of starting genomic DNA template was, however, detrimental to both the fraction of detected community members and the accuracy of abundance estimates. Overall, the outcomes of the model simulations matched well available experimental data. Our simulations also showed that species detection and the accuracy of abundance measurements correlated positively with the higher sample-wide PCR amplification rate, lower template-to-template PCR bias and lower number of species in the interrogated community. The developed model can be easily modified to simulate other multitemplate DNA mixtures as well as other microarray designs and PCR amplification protocols.     

Community structure of microbial biofilms associated with membrane-based water purification processes as revealed using a polyphasic approach

The microbial communities of membrane biofilms occurring in two full-scale water purification processes employing microfiltration (MF) and reverse osmosis (RO) membranes were characterized using a polyphasic approach that employed bacterial cultivation, 16S rDNA clone library and fluorescence in situ hybridization techniques. All methods showed that the alpha-Proteobacteria was the largest microbial fraction in the samples, followed by the gamma-Proteobacteria. This suggested that members of these two groups could be responsible for the biofouling on the membranes studied. Furthermore, the microbial community structures between the MF and RO samples were considerably different in composition of the most predominant 16S rDNA clones and bacterial isolates from the alpha-Proteobacteria and only shared two common groups ( Bradyrhizobium, Bosea) out of more than 17 different bacterial groups observed. The MF and RO samples further contained Planctomycetes and Fibroacter/ Acidobacteria as the second predominant bacterial clones, respectively, and differed in minor bacterial clones and isolates. The community structure differences were mainly attributed to differences in feed water, process configurations and operating environments, such as the pressure and hydrodynamic conditions present in the water purification systems.