Group-specific primer and probe sets to detect methanogenic communities using quantitative real-time polymerase chain reaction

Methanogen community in Zoige wetland of Tibetan plateau and phenotypic characterization of a dominant uncultured methanogen cluster ZC-I

Zoige wetland of Tibetan plateau is characterized by being located at a low latitude (33 degrees 56'N, 102 degrees 52'E) region and under the annual temperature around 1 degrees C. Previous studies indicated that Zoige wetland was one of the CH(4) emission centres in Qinghai-Tibetan plateau; in this study, the methanogen community in this low-latitude wetland was analysed based on the homology of 16S rRNA and mcrA genes retrieved from the soil. The results indicated that members of Methanosarcinales and Methanomicrobiales constituted the majority of methanogens, and a novel uncultured methanogen cluster, Zoige cluster I (ZC-I) affiliated to Methanosarcinales, could be dominant. Using quantitative polymerase chain reaction (qPCR) assay, ZC-I methanogens were estimated to be 10(7) cells per gram of soil, accounting for about 30% of the total Archeae. By combining culturable enrichment with qPCR assay, the quantity of ZC-I methanogens in the methanogenic enrichment with acetate, H2/CO(2), methanol or trimethylamine was determined to increase to 10(8) cells ml(-1), but not with formate, which indicated that ZC-I methanogens could use the four methanogenic substrates. The growth rates at 30 degrees C and 15 degrees C were not pronounced different, implying ZC-I to be the cold-adaptive methanogens. The broad substrate spectrum identified the ZC-I methanogens to be a member of Methanosarcinaceae, and could represent a novel sub-branch specifically inhabited in cold ecosystems. Fluorescence in situ hybridization (FISH) images also visualized ZC-I methanogens the sarcina-like aggregate of the spherical cells. The prevalence and flexibility in substrate utilization and growth temperature suggested ZC-I methanogens to be an important player in the methanogenesis of Zoige wetland.

Primer and probe sets for group-specific quantification of the genera Nitrosomonas and Nitrosospira using real-time PCR

Use of quantitative real-time PCR (QPCR) with TaqMan probes is increasingly popular in various environmental works to detect and quantify a specific microorganism or a group of target microorganism. Although many aspects of conducting a QPCR assay have become very easy to perform, a proper design of oligonucleotide sequences comprising primers and a probe is still considered as one of the most important aspects of a QPCR application. This work was conducted to design group specific primer and probe sets for the detection of ammonia oxidizing bacteria (AOB) using a real-time PCR with a TaqMan system. The genera Nitrosomonas and Nitrosospira were grouped into five clusters based on similarity of their 16S rRNA gene sequences. Five group-specific AOB primer and probe sets were designed. These sets separately detect four subgroups of Nitrosomonas (Nitrosomonas europaea-, Nitrosococcus mobilis-, Nitrosomonas nitrosa-, and Nitrosomonas cryotolerans-clusters) along with the genus Nitrosospira. Target-group specificity of each primer and probe set was initially investigated by analyzing potential false results in silico, followed by a series of experimental tests for QPCR efficiency and detection limit. In general, each primer and probe set was very specific to the target group and sensitive to detect target DNA as low as two 16S rRNA gene copies per reaction mixture. QPCR efficiency, higher than 93.5%, could be achieved for all primer and probe sets. The primer and probe sets designed in this study can be used to detect and quantify the beta-proteobacterial AOB in biological nitrification processes and various environments.

Biokinetic parameters and behavior of Aeromonas hydrophila during anaerobic growth

The biokinetics of glucose metabolism were evaluated in Aeromonas hydrophila during growth in an anaerobic biosystem. After approx 34 h growth, A. hydrophila metabolized 5,000 mg glucose l(-1) into the end-products ethanol, acetate, succinate and formate. The maximum growth rate, mu(m), half saturation coefficients, K(s), microbial yield coefficient, Y, cell mass decay rate coefficient, k(d), and substrate inhibition coefficient, K(si) were 0.25 +/- 0.03 h(-1), 118 +/- 31 mg glucose l(-1), 0.12 microg DNA mg glucose(-1), 0.01 h(-1), and 3,108 +/- 1,152 mg glucose l(-1), respectively. These data were used to predict the performance of a continuous growth system with an influent glucose concentration of 5,000 mg l(-1). Results of the analysis suggest that A. hydrophila will metabolize glucose at greater than 95% efficiency when hydraulic retention times (HRTs) exceed 7 h, whereas the culture is at risk of washing out at an HRT of 6.7 h.

Evaluation of molecular methods used for establishing the interactions and functions of microorganisms in anaerobic bioreactors

Molecular techniques have unveiled the complexity of the microbial consortium in anaerobic bioreactors and revealed the presence of several uncultivated species. This paper presents a review of the panoply of classical and recent molecular approaches and multivariate analyses that have been, or might be used to establish the interactions and functions of these anaerobic microorganisms. Most of the molecular approaches used so far are based on the analysis of small subunit ribosomal RNA but recent studies also use quantification of functional gene expressions. There are now several studies that have developed quantitative real-time PCR assays to investigate methanogens. With a view to improving the stability and performance of bioreactors, monitoring with molecular methods is also discussed. Advances in metagenomics and proteomics will lead to the development of promising lab-on chip technologies for cost-effective monitoring.

Monitoring thiocyanate-degrading microbial community in relation to changes in process performance in mixed culture systems near washout

Changes in microbial community structure, associated with changes in process performance, were investigated with respect to the sludge retention time (SRT) in bioreactors treating thiocyanate. Among the seven reactors operated at 0.8-3.0 d SRTs, respectively, the reactor at 2.0 d SRT displayed the maximal thiocyanate removal rate of 240.2mg/L/d. However, the thiocyanate removal efficiency suddenly decreased from 96.1% to 43.1% when the SRT was reduced from 2.0 to 1.8d, corresponding to a 50.1% drop in the removal rate. Microbial communities in the reactors operated at short SRTs, near washout, were analyzed by denaturing gradient gel electrophoresis (DGGE) based on bacterial 16S rRNA genes. All band sequences recovered were assigned to two phyla, Proteobacteria and Bacteriodetes. A Thiobacillus-like microorganism was commonly detected in all the reactors and is suggested to be the main organism responsible for thiocyanate decomposition. Several DGGE band sequences were closely related to the environmental clones detected in environments rich in sulfur and/or nitrogen compounds. Statistical analysis of the DGGE profiles demonstrated that the structure of thiocyanate-degrading communities, as well as the process performance, changed with change in SRT. The microbial community profiles were not always more closely related to those at similar SRT than those at less similar SRT on the non-metric multidimensional scaling (NMDS) map. This was also supported by clustering analysis. These results were contrary to the general notion that the community structures in continuous systems will be controlled by the washout of microbial populations. Our experimental results suggest that the structure of a microbial thiocyanate-degrading community at a given SRT would not be determined only by the washout effect.

Detection of methane and quantification of methanogenic archaea in faeces from young broiler chickens using real-time PCR

AIMS

To detect the presence of methanogens in the faeces of broiler chicks during the first 2 weeks of age.

METHODS AND RESULTS

Chicken faecal samples from 120 broiler chicks were incubated for methane gas formation and methanogenic archaea were analysed using real-time PCR. The copy number of the order Methanobacteriales 16S rDNA gene in chicken faeces when the broilers were 3-12 days of age, litter and house flies collected in the bird house ranged from 4.19 to 5.51 log(10) g(-1) wet weight. The number of positive methane culture tubes increased from 25% to 100% as the birds aged.

CONCLUSIONS

Methanogens were successfully detected in faecal samples from 3- to 12-day-old broilers, as well as litter and house flies using real-time PCR. The copy number of methanogenic 16S rDNA gene in these samples was also similar to the number observed in litter and house flies.

SIGNIFICANCE AND IMPACT OF THE STUDY

The same methanogens consistently appeared in chicken faeces a few days after birth. Detection of the methanogenic bacteria in litter and house flies implicated them as potential environmental sources for methanogen colonization in broiler chicks.

Molecular assessment of complex microbial communities degrading long chain fatty acids in methanogenic bioreactors

Microbial diversity of anaerobic sludge after extended contact with long chain fatty acids (LCFA) was studied using molecular approaches. Samples containing high amounts of accumulated LCFA were obtained after continuous loading of two bioreactors with oleate or with palmitate. These sludge samples were then incubated in batch assays to allow degradation of the biomass-associated LCFA. In addition, sludge used as inoculum for the reactors was also characterized. Predominant phylotypes of the different samples were monitored using denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rRNA gene fragments. Fingerprinting analysis showed changes in bacterial and archaeal communities during LCFA accumulation and degradation. Full-length 16S rRNA gene sequences of 22 clones, representing the predominant bacteria and archaea, were determined. Most bacterial clones (80%) clustered within the Clostridiaceae. Two major groups of methanogens were identified: hydrogen- and formate-utilizing organisms, closely related to Methanobacterium, and acetoclastic organisms closely related to Methanosaeta and Methanosarcina. Quantification by FISH and real-time PCR showed that the relative abundance of archaea increased during degradation of biomass-accumulated LCFA. These results provide insight into the importance and dynamics of balanced communities of bacteria and methanogens in LCFA-accumulation/degradation cycles.

Dominance of Prevotella and low abundance of classical ruminal bacterial species in the bovine rumen revealed by relative quantification real-time PCR

Relative quantification real-time PCR was used to quantify several bacterial species in ruminal samples from two lactating cows, each sampled 3 h after feeding on two successive days. Abundance of each target taxon was calculated as a fraction of the total 16S rRNA gene copies in the samples, using taxon-specific and eubacterial domain-level primers. Bacterial populations showed a clear predominance of members of the genus Prevotella, which comprised 42% to 60% of the bacterial rRNA gene copies in the samples. However, only 2% to 4% of the bacterial rRNA gene copies were represented by the classical ruminal Prevotella species Prevotella bryantii, Prevotella ruminicola and Prevotella brevis. The proportion of rRNA gene copies attributable to Fibrobacter succinogenes, Ruminococcus flavefaciens, Selenomonas ruminantium and Succinivibrio dextrinosolvens were each generally in the 0.5% to 1% range. Proportions for Ruminobacter amylophilus and Eubacterium ruminantium were lower (0.1% to 0.2%), while Butyrivibrio fibrisolvens, Streptococcus bovis, Ruminococcus albus and Megasphaera elsdenii were even less abundant, each comprising <0.03% of the bacterial rRNA gene copies. The data suggest that the aggregate abundance of the most intensively studied ruminal bacterial species is relatively low and that a large fraction of the uncultured population represents a single bacterial genus.

Identification and quantification of methanogenic Archaea in adult chicken ceca

By using molecular methods for the identification and quantification of methanogenic archaea in adult chicken ceca, 16S rRNA genes of 11 different phylotypes, 10 of which were 99% similar to Methanobrevibacter woesei, were found. Methanogen populations, as assessed by cultivation, and the 16S rRNA copy number were between 6.38 and 8.23 cells/g (wet weight) and 5.50 and 7.19 log(10)/g (wet weight), respectively.

Degradation of methanethiol by methylotrophic methanogenic archaea in a lab-scale upflow anaerobic sludge blanket reactor

In a lab-scale upflow anaerobic sludge blanket reactor inoculated with granular sludge from a full-scale wastewater treatment plant treating paper mill wastewater, methanethiol (MT) was degraded at 30 degrees C to H2S, CO2, and CH4. At a hydraulic retention time of 9 h, a maximum influent concentration of 6 mM MT was applied, corresponding to a volumetric loading rate of 16.5 mmol liter-1 day-1. The archaeal community within the reactor was characterized by anaerobic culturing and denaturing gradient gel electrophoresis analysis, cloning, and sequencing of 16S rRNA genes and quantitative PCR. Initially, MT-fermenting methanogenic archaea related to members of the genus Methanolobus were enriched in the reactor. Later, they were outcompeted by Methanomethylovorans hollandica, which was detected in aggregates but not inside the granules that originated from the inoculum, the microbial composition of which remained fairly unchanged. Possibly other species within the Methanosarcinacaea also contributed to the fermentation of MT, but they were not enriched by serial dilution in liquid media. The archaeal community within the granules, which was dominated by Methanobacterium beijingense, did not change substantially during the reactor operation. Some of the species related to Methanomethylovorans hollandica were enriched by serial dilutions, but their growth rates were very low. Interestingly, the enrichments could be sustained only in the presence of MT and did not utilize any of the other typical substrates for methylotrophic methanogens, such as methanol, methyl amine, or dimethylsulfide.

Use of real-time PCR for group-specific quantification of aceticlastic methanogens in anaerobic processes: population dynamics and community structures

The TaqMan quantitative PCR (QPCR) method was used to detect and quantify the 16S rRNA genes of aceticlastic methanogens at different taxonomic levels. Three different sets of primers coupled with a TaqMan probe for QPCR assays to detect the 16S rRNA genes of the order Methanosarcinales, as well as the families Methanosarcinaceae and Methanosaetaceae, were separately used. Using these primer and probe sets, the 16S rRNA genes of aceticlastic methanogens in samples from various anaerobic processes (i.e., nine pure cultures, batch experiment, and three different continuous processes including a full-scale digester), were monitored and quantified by QPCR assays. A batch experiment cultivating a mixture of aceticlastic methanogens, was conducted to monitor their population dynamics. Using this group-specific quantification method, the dynamics of a competition between two aceticlastic populations, as modulated by the acetate concentration, could well be described. The target 16S rRNA genes in environmental samples, collected from three different anaerobic processes treating sludge, cheese whey, and synthetic wastewaters, were additionally quantified. The quantified 16S rRNA gene concentrations for all samples successfully represented the community structures of the target methanogens, which were correlated accurately with the operational parameters of the anaerobic processes. It was also successful to demonstrate probe nesting of aceticlastic methanogens at the levels of order and family.

Absolute and relative QPCR quantification of plasmid copy number in Escherichia coli

Real-time QPCR based methods for determination of plasmid copy number in recombinant Escherichia coli cultures are presented. Two compatible methods based on absolute and relative analyses were tested with recombinant E. coli DH5alpha harboring pBR322, which is a common bacterial cloning vector. The separate detection of the plasmid and the host chromosomal DNA was achieved using two separate primer sets, specific for the plasmid beta-lactamase gene (bla) and for the chromosomal d-1-deoxyxylulose 5-phosphate synthase gene (dxs), respectively. Since both bla and dxs are single-copy genes of pBR322 and E. coli chromosomal DNA, respectively, the plasmid copy number can be determined as the copy ratio of bla to dxs. These methods were successfully applied to determine the plasmid copy number of pBR322 of E. coli host cells. The results of the absolute and relative analyses were identical and highly reproducible with coefficient of variation (CV) values of 2.8-3.9% and 4.7-5.4%, respectively. The results corresponded to the previously reported values of pBR322 copy number within E. coli host cells, 15-20. The methods introduced in this study are convenient to perform and cost-effective compared to the traditionally used Southern blot method. The primer sets designed in this study can be used to determine plasmid copy number of any recombinant E. coli with a plasmid vector having bla gene.