Comparison and evaluation of Renibacterium salmoninarum quantitative PCR diagnostic assays using field samples of Chinook and coho salmon

Renibacterium salmoninarum is a Gram-positive bacterium causing bacterial kidney disease (BKD) in susceptible salmonid fishes. Several quantitative PCR (qPCR) assays to measure R. salmoninarum infection intensity have been reported, but comparison and evaluation of these assays has been limited. Here, we compared 3 qPCR primer/probe sets for detection of R. salmoninarum in field samples of naturally exposed Chinook and coho salmon first identified as positive by nested PCR (nPCR). Additional samples from a hatchery population of Chinook salmon with BKD were included to serve as strong positive controls. The 3 qPCR assays targeted either the multiple copy major soluble antigen (msa) genes or the single copy abc gene. The msa/non-fluorescent quencher (NFQ) assay amplified R. salmoninarum DNA in 53.2% of the nPCR positive samples, whereas the abc/NFQ assay amplified 21.8% of the samples and the abc/TAMRA assay 18.2%. The enzyme-linked immunosorbent assay (ELISA) successfully quantified only 16.4% of the nPCR positive samples. Although the msa/NFQ assay amplified a greater proportion of nPCR positive samples, the abc/NFQ assay better amplified those samples with medium and high ELISA values. A comparison of the geometric mean quantity ratios highlighted limitations of the assays, and the abc/NFQ assay strongly amplified some samples that were negative in other tests, in contrast to its performance among the sample group as a whole. These data demonstrate that both the msa/NFQ and abc/NFQ qPCR assays are specific and effective at higher infection levels and outperform the ELISA. However, most pathogen studies will continue to require multiple assays to both detect and quantify R. salmoninarum infection.     

Determining Fungi rRNA Copy Number by PCR

The goal of this project is to improve the quantification of indoor fungal pollutants via the specific application of quantitative PCR (qPCR). Improvement will be made in the controls used in current qPCR applications. This work focuses on the use of two separate controls within a standard qPCR reaction. The first control developed was the internal standard control gene, benA. This gene encodes for β-tubulin and was selected based on its single-copy nature. The second control developed was the standard control plasmid, which contained a fragment of the ribosomal RNA (rRNA) gene and produced a specific PCR product. The results confirm the multicopy nature of the rRNA region in several filamentous fungi and show that we can quantify fungi of unknown genome size over a range of spore extractions by inclusion of these two standard controls. Advances in qPCR have led to extremely sensitive and quantitative methods for single-copy genes; however, it has not been well established that the rRNA can be used to quantitate fungal contamination. We report on the use of qPCR, combined with two controls, to identify and quantify indoor fungal contaminants with a greater degree of confidence than has been achieved previously. Advances in indoor environmental health have demonstrated that contamination of the built environment by the filamentous fungi has adverse impacts on the health of building occupants. This study meets the need for more accurate and reliable methods for fungal identification and quantitation in the indoor environment.     

Underwater application of quantitative PCR on an ocean mooring

The Environmental Sample Processor (ESP) is a device that allows for the underwater, autonomous application of DNA and protein probe array technologies as a means to remotely identify and quantify, in situ, marine microorganisms and substances they produce. Here, we added functionality to the ESP through the development and incorporation of a module capable of solid-phase nucleic acid extraction and quantitative PCR (qPCR). Samples collected by the instrument were homogenized in a chaotropic buffer compatible with direct detection of ribosomal RNA (rRNA) and nucleic acid purification. From a single sample, both an rRNA community profile and select gene abundances were ascertained. To illustrate this functionality, we focused on bacterioplankton commonly found along the central coast of California and that are known to vary in accordance with different oceanic conditions. DNA probe arrays targeting rRNA revealed the presence of 16S rRNA indicative of marine crenarchaea, SAR11 and marine cyanobacteria; in parallel, qPCR was used to detect 16S rRNA genes from the former two groups and the large subunit RuBisCo gene (rbcL) from Synecchococcus. The PCR-enabled ESP was deployed on a coastal mooring in Monterey Bay for 28 days during the spring-summer upwelling season. The distributions of the targeted bacterioplankon groups were as expected, with the exception of an increase in abundance of marine crenarchaea in anomalous nitrate-rich, low-salinity waters. The unexpected co-occurrence demonstrated the utility of the ESP in detecting novel events relative to previously described distributions of particular bacterioplankton groups. The ESP can easily be configured to detect and enumerate genes and gene products from a wide range of organisms. This study demonstrated for the first time that gene abundances could be assessed autonomously, underwater in near real-time and referenced against prevailing chemical, physical and bulk biological conditions.     

Culture-Independent Identification of Nontuberculous Mycobacteria in Cystic Fibrosis Respiratory Samples

Respiratory tract infections with nontuberculous mycobacteria (NTM) are increasing in prevalence and are a significant cause of lung function decline in individuals with cystic fibrosis (CF). NTM have been detected in culture-independent analyses of CF airway microbiota at lower rates than would be expected based on published prevalence data, likely due to poor lysing of the NTM cell wall during DNA extraction. We compared a standard bacterial lysis protocol with a modified method by measuring NTM DNA extraction by qPCR and NTM detection with bacterial 16S rRNA gene sequencing. The modified method improved NTM DNA recovery from spiked CF sputum samples by a mean of 0.53 log₁₀ copies/mL for M. abscessus complex and by a mean of 0.43 log₁₀ copies/mL for M. avium complex as measured by qPCR targeting the atpE gene. The modified method also improved DNA sequence based NTM detection in NTM culture-positive CF sputum and bronchoalveolar lavage samples; however, both qPCR and 16S rRNA gene sequencing remained less sensitive than culture for NTM detection. We highlight the limitations of culture-independent identification of NTM from CF respiratory samples, and illustrate how alterations in the bacterial lysis and DNA extraction process can be employed to improve NTM detection with both qPCR and 16S rRNA gene sequencing.     

Specific detection and quantification of the marine flavobacterial genus Zobellia on macroalgae using novel qPCR and CARD-FISH assays

The flavobacterial genus Zobellia is considered as a model to study macroalgal polysaccharide degradation. The lack of data regarding its prevalence and abundance in coastal habitats constitutes a bottleneck to assess its ecological strategies. To overcome this issue, real-time quantitative PCR (qPCR) and fluorescence in situ hybridization (FISH) methods targeting the 16S rRNA gene were optimized to specifically detect and quantify Zobellia on the surface of diverse macroalgae. The newly designed qPCR primers and FISH probes targeted 98 and 100% of the Zobellia strains in silico and their specificity was confirmed using pure bacterial cultures. The dynamic range of the qPCR assay spanned 8 orders of magnitude from 10 to 10⁸ 16S rRNA gene copies and the detection limit was 0.01% relative abundance of Zobellia in environmental samples. Zobellia-16S rRNA gene copies were detected on all surveyed brown, green and red macroalgae, in proportion varying between 0.1 and 0.9% of the total bacterial copies. The absolute and relative abundance of Zobellia varied with tissue aging on the kelp Laminaria digitata. Zobellia cells were successfully visualized in Ulva lactuca and stranded Palmaria palmata surface biofilm using CARD-FISH, representing in the latter 10⁵ Zobellia cells·cm⁻² and 0.43% of total bacterial cells. Overall, qPCR and CARD-FISH assays enabled robust detection, quantification and localization of Zobellia representatives in complex samples, underlining their ecological relevance as primary biomass degraders potentially cross-feeding other microorganisms.     

应用qPCR方法快速定量检测阴道分泌物中乳杆菌的研究

目的建立快速、定量检测女性阴道分泌物中乳杆菌的方法。方法合成针对乳杆菌的特异性引物,建立乳杆菌qPCR标准曲线后,进一步对收集得到的健康女性及细菌性阴道病女性阴道分泌物样品中乳杆菌进行定量检测。结果引物仅扩增出乳杆菌特异性DNA条带,qPCR能够检测到各分泌物样本中乳杆菌的数量。结论建立了一种快速、定量女性阴道分泌物中乳杆菌检测方法。     

Real-time PCR quantification of Dehalococcoides populations: methods and applications

Dehalococcoides species are responsible for the reductive dehalogenation of an impressive range of common, persistent environmental contaminants. These microorganisms are difficult to both obtain and grow in pure culture, and so are often studied while they exist in consortia using molecular techniques. In particular, a significant number of quantitative real-time PCR (qPCR) assays targeting Dehalococcoides spp. have been reported. Initial qPCR methods targeted the 16S rRNA gene, however, because strains with the same 16S rRNA gene sequence can have different dehalogenating abilities, reductive dehalogenase genes are now emerging as the most appropriate qPCR target. Quantitative PCR has been critical to our current understanding of Dehalococcoides populations; it has provided information on their growth characteristics, dehalogenating abilities and effective use in bioremediation efforts. Future qPCR research directions will likely involve method standardization, as well as continued research on the functional genes associated with Dehalococcoides populations.     

Direct‐geneFISH: a simplified protocol for the simultaneous detection and quantification of genes and rRNA in microorganisms

Although fluorescence in situ hybridization (FISH) with specific ribosomal RNA (rRNA)‐targeted oligonucleotides is a standard method to detect and identify microorganisms, the specific detection of genes in bacteria and archaea, for example by using geneFISH, requires complicated and lengthy (> 30 h) procedures. Here we report a much improved protocol, direct‐geneFISH, which allows specific gene and rRNA detection within less than 6 h. For direct‐geneFISH, catalyzed amplification reporter deposition (CARD) steps are removed and fluorochrome‐labelled polynucleotide gene probes and rRNA‐targeted oligonucleotide probes are hybridized simultaneously. The protocol allows quantification of gene copy numbers per cell and the signal of the directly labelled probes enables a subcellular localization of the rRNA and target gene. The detection efficiencies of direct‐geneFISH were first evaluated on Escherichia coli carrying the target gene on a copy‐control vector. We could show that gene copy numbers correlated to the geneFISH signal within the cells. The new protocol was then applied for the detection of the sulfate thiolhydrolase (soxB) genes in cells of the gammaproteobacterial clade SUP05 in Lake Rogoznica, Croatia. Cell and gene detection efficiencies by direct‐geneFISH were statistically identical to those obtained with the original geneFISH, demonstrating the suitability of the simpler and faster protocol for environmental samples.     

Microbial diversity and anaerobic hydrocarbon degradation potential in an oil-contaminated mangrove sediment

ABSTRACT: BACKGROUND: Mangrove forests are coastal wetlands that provide vital ecosystem services and serve as barriers against natural disasters like tsunamis, hurricanes and tropical storms. Mangroves harbour a large diversity of organisms, including microorganisms with important roles in nutrient cycling and availability. Due to tidal influence, mangroves are sites where crude oil from spills farther away can accumulate. The relationship between mangrove bacterial diversity and oil degradation in mangrove sediments remains poorly understood. RESULTS: Mangrove sediment was sampled from 0--5, 15--20 and 35--40 cm depth intervals from the Surui River mangrove (Rio de Janeiro, Brazil), which has a history of oil contamination. DGGE fingerprinting for bamA, dsr and 16S rRNA encoding fragment genes, and qPCR analysis using dsr and 16S rRNA gene fragment revealed differences with sediment depth. CONCLUSIONS: Analysis of bacterial 16S rRNA gene diversity revealed changes with depth. DGGE for bamA and dsr genes shows that the anaerobic hydrocarbon-degrading community profile also changed between 5 and 15 cm depth, and is similar in the two deeper sediments, indicating that below 15 cm the anaerobic hydrocarbon-degrading community appears to be well established and homogeneous in this mangrove sediment. qPCR analysis revealed differences with sediment depth, with general bacterial abundance in the top layer (0--5 cm) being greater than in both deeper sediment layers (15--20 and 35--40 cm), which were similar to each other.     

Emergence of <Emphasis Type="Italic">Aureobasidium pullulans</Emphasis> as human fungal pathogen and molecular assay for future medical diagnosis

Despite the great importance of Aureobasidium pullulans in biotechnology, the fungus had emerged as an opportunistic human pathogen, especially among immunocompromised patients. Clinical detection of this rare human fungal pathogen presently relies on morphology diagnosis which may be misleading. Thus, a sensitive and accurate quantitative molecular assay for A. pullulans remains lacking. In this study, we presented the microscopy observations of A. pullulans that reveals the phenotypic plasticity of the fungus. A. pullulans-specific primers and molecular beacon probes were designed based on the fungal 18S ribosomal RNA (rRNA) gene. Comparison of two probes with varied quencher chemistry, namely BHQ-1 and Tamra, revealed high amplification efficiency of 104% and 108%, respectively. The optimized quantitative real-time PCR (qPCR) assays could detect and quantify up to 1 pg concentration of A. pullulans DNA. Both assays displayed satisfactory performance parameters at fast thermal cycling mode. The molecular assay has great potential as a molecular diagnosis tool for early detection of fungal infection caused by A. pullulans, which merits future study in clinical diagnosis.     

Quantitative PCR targeting 16S rRNA and reductive dehalogenase genes simultaneously monitors multiple Dehalococcoides strains

The 16S rRNA gene provides insufficient information to infer the range of chloroorganic electron acceptors used by different Dehalococcoides organisms. To overcome this limitation and provide enhanced diagnostic tools for growth measurements, site assessment, and bioremediation monitoring, a quantitative real-time PCR (qPCR) approach targeting 16S rRNA genes and three Dehalococcoides reductive dehalogenase (RDase) genes with assigned function (i.e., tceA, bvcA, and vcrA) was designed and evaluated. qPCR standard curves generated for the RDase genes by use of genomic DNA from Dehalococcoides pure cultures correlated with standard curves obtained for both Bacteria- and Dehalococcoides-targeted 16S rRNA genes, suggesting that the RDase genes are useful targets for quantitative assessment of Dehalococcoides organisms. RDase gene probe/primer pairs were specific for the Dehalococcoides strains known to carry the diagnostic RDase gene sequences, and the qPCR method allowed the detection of as few as 1 to 20 and quantification of as few as 50 to 100 tceA, bvcA, or vcrA gene targets per PCR volume. The qPCR approach was applied to dechlorinating enrichment cultures, microcosms, and samples from a contaminated site. In characterized enrichment cultures where known Dehalococcoides strains were enumerated, the sum of the three RDase genes equaled the total Dehalococcoides cell numbers. In site samples and chloroethane-dechlorinating microcosms, the sum of the three RDase genes was much less than that predicted by Dehalococcoides-targeted qPCR, totaling 10 to 30% of the total Dehalococcoides cell numbers. Hence, a large number of Dehalococcoides spp. contain as-yet-unidentified RDase genes, indicating that our current understanding of the dechlorinating Dehalococcoides community is incomplete.     

High-sensitivity stable-isotope probing by a quantitative terminal restriction fragment length polymorphism protocol

Stable-isotope probing (SIP) has proved a valuable cultivation-independent tool for linking specific microbial populations to selected functions in various natural and engineered systems. However, application of SIP to microbial populations with relatively minor buoyant density increases, such as populations that utilize compounds as a nitrogen source, results in reduced resolution of labeled populations. We therefore developed a tandem quantitative PCR (qPCR)-TRFLP (terminal restriction fragment length polymorphism) protocol that improves resolution of detection by quantifying specific taxonomic groups in gradient fractions. This method combines well-controlled amplification with TRFLP analysis to quantify relative taxon abundance in amplicon pools of FAM-labeled PCR products, using the intercalating dye EvaGreen to monitor amplification. Method accuracy was evaluated using mixtures of cloned 16S rRNA genes, DNA extracted from low- and high-G+C bacterial isolates (Escherichia coli, Rhodococcus, Variovorax, and Microbacterium), and DNA from soil microcosms amended with known amounts of genomic DNA from bacterial isolates. Improved resolution of minor shifts in buoyant density relative to TRFLP analysis alone was confirmed using well-controlled SIP analyses.     

Sequences of isopenicillin N synthetase genes suggest horizontal gene transfer from prokaryotes to eukaryotes

Evolutionary distances between bacterial and fungal isopenicillin N synthetase (IPNS) genes have been compared to distances between the corresponding 5S rRNA genes. The presence of sequences homologous to the IPNS gene has been examined in DNAs from representative prokaryotic organisms and Ascomycotina. The results of both analyses strongly support two different events of horizontal transfer of the IPNS gene from bacteria to filamentous fungi. This is the first example of such a type of transfer from prokaryotes to eukaryotes.     

Similar Gene Estimates from Circular and Linear Standards in Quantitative PCR Analyses Using the Prokaryotic 16S rRNA Gene as a Model

Quantitative PCR (qPCR) is one of the most widely used tools for quantifying absolute numbers of microbial gene copies in test samples. A recent publication showed that circular plasmid DNA standards grossly overestimated numbers of a target gene by as much as 8-fold in a eukaryotic system using quantitative PCR (qPCR) analysis. Overestimation of microbial numbers is a serious concern in industrial settings where qPCR estimates form the basis for quality control or mitigation decisions. Unlike eukaryotes, bacteria and archaea most commonly have circular genomes and plasmids and therefore may not be subject to the same levels of overestimation. Therefore, the feasibility of using circular DNA plasmids as standards for 16S rRNA gene estimates was assayed using these two prokaryotic systems, with the practical advantage being rapid standard preparation for ongoing qPCR analyses. Full-length 16S rRNA gene sequences from Thermovirga lienii and Archaeoglobus fulgidus were cloned and used to generate standards for bacterial and archaeal qPCR reactions, respectively. Estimates of 16S rRNA gene copies were made based on circular and linearized DNA conformations using two genomes from each domain: Desulfovibrio vulgaris, Pseudomonas aeruginosa, Archaeoglobus fulgidus, and Methanocaldocococcus jannaschii. The ratio of estimated to predicted 16S rRNA gene copies ranged from 0.5 to 2.2-fold in bacterial systems and 0.5 to 1.0-fold in archaeal systems, demonstrating that circular plasmid standards did not lead to the gross over-estimates previously reported for eukaryotic systems.     

Identification of Propionibacterium acnes by polymerase chain reaction for amplification of 16S ribosomal RNA and lipase genes

Propionibacterium acnes belongs to the cutaneous flora and is present in sebaceous follicles. The fatty acids that are released from sebum triglycerides by the action of this bacterial lipase play an important role in the pathogenesis of acne vulgaris. P. acnes is also involved in postoperative disorders and opportunistic infections in immunosuppressed hosts. Recently, it has been proposed that P. acnes causes sarcoidosis. Therefore, rapid isolation and identification of P. acnes is important. This study evaluated the polymerase chain reaction (PCR) for the detection of the 16S rRNA and lipase genes of P. acnes. The PCR used to detect the 16S rRNA gene could amplify the gene of P. acnes, but not the genes of the other tested strains of P. avidum, P. granulosum, P. lymphophilum, P. jensenii, P. acidipropionici and P. thoenii. The PCR to detect the lipase gene of P. acnes, however, could amplify not only the gene of P. acnes but also that of P. avidum. The PCR product of this lipase gene was not found in the strains of the other species tested. Therefore, the organism that has both the 16S rRNA gene and lipase gene was identified as P. acnes, while the strain with the lipase gene but not the 16S rRNA gene of P. acnes was characterized as P. avidum. These findings were confirmed by the conventional biochemical tests including lipase activity. Furthermore, out of the seven clinical isolates from acne vulgaris, four were identified as P. acnes and three as P. avidum by the PCR method and biochemical tests. The combination of two PCR, one for the detection of the 16S rRNA and the other of lipase genes was shown to be an easier, faster and more accurate method to identify P. acnes and P. avidum than conventional methods.     

Growth of ammonia-oxidizing archaea in soil microcosms is inhibited by acetylene

Autotrophic ammonia-oxidizing bacteria were considered to be responsible for the majority of ammonia oxidation in soil until the recent discovery of the autotrophic ammonia-oxidizing archaea. To assess the relative contributions of bacterial and archaeal ammonia oxidizers to soil ammonia oxidation, their growth was analysed during active nitrification in soil microcosms incubated for 30 days at 30 °C, and the effect of an inhibitor of ammonia oxidation (acetylene) on their growth and soil nitrification kinetics was determined. Denaturing gradient gel electrophoresis (DGGE) analysis of bacterial ammonia oxidizer 16S rRNA genes did not detect any change in their community composition during incubation, and quantitative PCR (qPCR) analysis of bacterial amoA genes indicated a small decrease in abundance in control and acetylene-containing microcosms. DGGE fingerprints of archaeal amoA and 16S rRNA genes demonstrated changes in the relative abundance of specific crenarchaeal phylotypes during active nitrification. Growth was also indicated by increases in crenarchaeal amoA gene copy number, determined by qPCR. In microcosms containing acetylene, nitrification and growth of the crenarchaeal phylotypes were suppressed, suggesting that these crenarchaea are ammonia oxidizers. Growth of only archaeal but not bacterial ammonia oxidizers occurred in microcosms with active nitrification, indicating that ammonia oxidation was mostly due to archaea in the conditions of the present study.     

A novel qPCR protocol for the specific detection and quantification of the fuel-deteriorating fungus Hormoconis resinae

A wide variety of fungi and bacteria are known to contaminate fuels and fuel systems. These microbial contaminants have been linked to fuel system fouling and corrosion. The fungus Hormoconis resinae, a common jet fuel contaminant, is used in this study as a model for developing innovative risk assessment methods. A novel qPCR protocol to detect and quantify H. resinae in, and together with, total fungal contamination of fuel systems is reported. Two primer sets, targeting the markers RPB2 and ITS, were selected for their remarkable specificity and sensitivity. These primers were successfully applied on fungal cultures and diesel samples demonstrating the validity and reliability of the established qPCR protocol. This novel tool allows clarification of the current role of H. resinae in fuel contamination cases, as well as providing a technique to detect fungal outbreaks in fuel systems. This tool can be expanded to other well-known fuel-deteriorating microorganisms.     

内参基因加标法定量土壤微生物目标基因绝对拷贝数

【目的】通过荧光定量PCR技术对土壤微生物目标基因进行绝对定量,其定量结果的准确性容易受到DNA提取得率以及腐殖酸抑制性的影响。【方法】采用内参基因加标法,利用构建的突变质粒DNA,对供试水稻土壤样品中的微生物16S r RNA目标基因的绝对拷贝数进行荧光定量PCR检测,用来表征该样品中细菌群落总体丰度。在定量前通过双向引物扩增方法验证突变质粒中的内参基因对供试土壤的特异性。【结果】不同水稻土壤样品的DNA提取量在样品间差异较大。通过内参基因加标法对DNA提取量进行校正,显著提高了16S r RNA基因绝对定量的精确度。不同水稻土壤样品间的变异系数为17.8,与未加标处理相比降低了66.7%。在此基础上,进一步通过内参基因加标法对土壤有机质和含水率均呈现典型空间特征差异的6处亚热带湿地土壤样品中的16S r RNA基因进行绝对定量。16S r RNA基因绝对拷贝数与土壤微生物生物量碳具有显著的线性相关性(R2=0.694,P0.001),表明内参校正后的16S r RNA基因绝对拷贝数可以准确反映单位质量土壤中微生物的丰度。【结论】内参基因加标法可以对DNA提取得率以及腐殖酸对PCR扩增的抑制性进行校正,从而提高绝对定量的准确性。基于内参基因加标法的目标基因绝对定量PCR检测,可作为土壤微生物生物量测量,以及微生物功能基因绝对丰度定量的一种核酸检测方法。     

Detection of denitrification genes by in situ rolling circle amplification‐fluorescence in situ hybridization to link metabolic potential with identity inside bacterial cells

A target‐primed in situ rolling circle amplification (in situ RCA) protocol was developed for detection of single‐copy genes inside bacterial cells and optimized with Pseudomonas stutzeri, targeting nitrite and nitrous oxide reductase genes (nirS and nosZ). Two padlock probes were designed per gene to target both DNA strands; the target DNA was cut by a restriction endonuclease close to the probe binding sites, which subsequently were made accessible by 5′‐3′ exonucleolysis. After hybridization, the padlock probe was circularized by ligation and served as template for in situ RCA, primed by the probe target site. Finally, the RCA product inside the cells was detected by standard fluorescence in situ hybridization (FISH). The optimized protocol showed high specificity and signal‐to‐noise ratio but low detection frequency (up to 15% for single‐copy genes and up to 43% for the multi‐copy 16S rRNA gene). Nevertheless, multiple genes (nirS and nosZ; nirS and the 16S rRNA gene) could be detected simultaneously in P. stutzeri. Environmental application of in situ RCA‐FISH was demonstrated on activated sludge by the differential detection of two types of nirS‐defined denitrifiers; one of them was identified as Candidatus Accumulibacter phosphatis by combining in situ RCA‐FISH with 16S rRNA‐targeted FISH. While not suitable for quantification because of its low detection frequency, in situ RCA‐FISH will allow to link metabolic potential with 16S rRNA (gene)‐based identification of single microbial cells.     

Quantitative multiplexing analysis of PCR-amplified ribosomal RNA genes by hierarchical oligonucleotide primer extension reaction

A method, termed hierarchical oligonucleotide primer extension (HOPE), is developed for quantitative, multiplexing detection of DNA targets present in PCR-amplified community 16S rRNA genes. It involves strand extension reaction and multiple oligonucleotide primers modified with different lengths of polyA at the 5′ end and targeting 16S rRNA genes at different phylogenetic specificities. On annealing to the targets, these primers are extended with a single fluorescently labeled dideoxynucleoside triphosphate or a dye-terminator. Using a DNA autosequencer, these extended primers are separated and identified by size and dye color, and quantified and normalized based on the fluorescence intensities and internal size standards. Using a primer-to-target ratio >1000, constant primer extension efficiencies can be obtained with individual primers to establish a ‘calibration factor’ between individual primers and a universal or domain-specific primer, providing the relative abundance of targeted rRNA genes with respect to total rRNA genes. HOPE up to 10-plexing is demonstrated to correctly identify 20 different bacterial strains, and quantify different Bacteroides spp. in 16S rRNA gene amplicons from different model bacteria mixtures and the influent and effluent of a wastewater treatment plant. Single mismatch discrimination with detection sensitivity of a target down to 0.01–0.05% of total DNA template is achieved.