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Current Genomics logoLink to Current Genomics
. 2007 Jun;8(4):234–251. doi: 10.2174/138920207781386960

Real-Time PCR: Revolutionizing Detection and Expression Analysis of Genes

SA Deepak 1, KR Kottapalli 2, R Rakwal 3,4,*, G Oros 5, KS Rangappa 6, H Iwahashi 3, Y Masuo 3, GK Agrawal 4,*
PMCID: PMC2430684  PMID: 18645596

Abstract

Invention of polymerase chain reaction (PCR) technology by Kary Mullis in 1984 gave birth to real-time PCR. Real-time PCR — detection and expression analysis of gene(s) in real-time — has revolutionized the 21st century biological science due to its tremendous application in quantitative genotyping, genetic variation of inter and intra organisms, early diagnosis of disease, forensic, to name a few. We comprehensively review various aspects of real-time PCR, including technological refinement and application in all scientific fields ranging from medical to environmental issues, and to plant.

Key Words: Real-time PCR, applications, disease, microorganisms, pathogen, detection, quantification, plant-microbe interaction

BACKGROUND

The invention of polymerase chain reaction (PCR) by Kary Mullis in 1984 was considered as a revolution in science. Real-time PCR, hereafter abbreviated RT PCR, is becoming a common tool for detecting and quantifying expression profiles of selected genes. The technology to detect PCR products in real-time, i.e., during the reaction, has been available for the past 10 years, but has seen a dramatic increase in use over the past 2 years. A search using the key word real-time and PCR yielded 7 publications in 1995, 357 in 2000, and 2291 and 4398 publications in 2003 and 2005, respectively. At the time of this writing, there were 3316 publications in 2006. The overwhelming majority of the current publications in the field of the genomics have been dealing with the various aspects of the application of methods in medicine, with the search for new techniques providing higher preciosity rates and with the elucidation of the principal biochemical and biophysical processes underlying the phenotypic expression of cell regulation. Series of RT PCR machines have also been developed for routine analysis (Table 1) [1].

Table 1.

Real-Time Cyclers Available in the Market and their Characteristics

Cycler Source Detector Applications No. of Samples Footprint
ABI Prism 7000 Tungsten-halogen CCD camera SYBR, FAM, HEX, TET, TAMRA, VIC 96 39×51 cm
Bio-Rad iCycler iQ Tungsten-halogen CCD camera SYBR, FAM, HEX, TE, TA, VIC 96 33×62 cm
Cepheid Smartcycler LED Silicon detectors SYBR, FAM, TET, ROX, Cy3, Cy5 16 30× 25 cm
Corbett Research LED PMT SYBR, FAM, HEX, TET, TAMRA, VIC 72 38×48
Rotor-Gene 3000 MJ Research DNA LED 2 PMTs SYBR, FAM, HEX, TET, TAMRA, VIC 96 34×47 cm
Engine Opticon 2 Roche LightCycler 2 LED Fluorimeters SYBR, FAM, HEX, VIC, LightCycler Red Stains 32 30×45 cm
Stratagene Mx3000P Tungsten-halogen 1 PMT scanner SYBR, FAM, HEX, TET, TAMTA, VIC 96 33×46 cm
Techne Quantica Halogen PMT SYBR, FAM, HEX, TET, TAMRA, VIC 96 45×50 cm

The advancements in bioscience during the last century help in comprehensive understanding of information about interacting network of various gene modules that coordinately carry out integrated cellular function in somewhat isolated fashion, i.e., the molecular mechanism of phenotypic expression of genotype. The function of a major part of the genome is still unknown and the relationship between enzymes, signaling substances and various small molecules is still rather limited. In order to fully understand the regulation of metabolism and to alter it successfully more information of gene expression, recognition of DNA by proteins, transcription factors, drugs and other small molecules is required.

Gene expression profile has been widely used to address the relationship between ecologically influenced or disease phenotypes and the cellular expression patterns. PCR–based detection technologies utilizing species specific primers are proving indispensable as research tools providing enhanced information on biology of plant/microbe interactions with special regard to the ecology, aetiology and epidemiology of plant pathogenic microorganisms.

In general, laboratory experience with nested PCR for diagnostics on presence of microbial DNA in extracts from a diverse range of plant matrices (including soils) offers improved sensitivity and robustness, particularly in the presence of enzyme inhibitors. In order to meet consumer and regulatory demands, several PCR-based methods have been developed and commercialized to detect and quantify mRNA in various organisms. Most of them are based on the use of internal transcribed spacer regions within the nuclear ribo-somal gene clusters as these are particularly attractive loci for the design of PCR–based detection assays. These clusters are readily accessible using universal primers and typically present in high copy number in the cell, whilst often exhibiting sufficient inter-specific sequence divergence for the design of species specific primers. The limit of detection is usually a few alien molecules even in the presence of very high levels of background DNA. The high sensitivity and specificity of RT PCR allow it to be the first choice of scientists interested in detecting dynamics of gene expression in plant/microbe associations (Table 2).

Table 2.

Obligate Pathogen Detection Using Real-Time PCR

Pathogen Reference
Fungi
Melampsora medusae Boyle et al., 2005 [152]
Synchytrium endobioticum van den Boogert et al., 2005 [153]
Bacteria
Chlamydia pneumoniae Kuoppa et al., 2002 [154]
Ehrlichia species Doyle et al., 2005 [155]
Burkholderia species Ulrich et al., 2006 [156]
Coxiella burnetii Klee et al., 2006 [157]
Neisseria gonorrhoeae Tobiason and Seifert , 2006 [158]
Mycobacterium
Mycobacterium leprae Groathouse et al., 2006 [159]

The RT PCR allows quantitative genotyping and detection of single nucleotide polymorphisms and allelic discrimination as well as genetic variations when only a small proportion of the sample carrying the mutation. The use of multiplex PCR systems using combined probes and primes targeted to sequences specific to counterpartners of plant/ microbe associations is becoming more important than standard PCR, which is proving to be insufficient for such living systems.

The multiplex RT PCR is suitable for multiple gene identification based on the use of fluorochomes and the analysis of melting curves of the amplified products. This multiplex approach showed a high sensitivity in duplex reactions and is useful alternative to RT PCR based on sequence-specific probes, e.g., TaqMan chemistry (Table 3).

Table 3.

Multiplexing Using Real-Time PCR

Purpose Reference
Simultaneous detection of mycorrhizal and pathogen DNA Bohm et al., 1999 [160]
Detection and Quantification of Transgenes in Grains Permingeat et al., 2002 [161]
Monitoring of host-pathogen dynamics Hietala et al., 2003 [162]
Mycotoxin producing fungi Bluhm et al., 2004 [163]
Simultaneous detection of Anaplasma phagocytophilum and Borrelia burgdorferi Courtney et al., 2004 [164]
Discrimination of viral infections Templeton et al., 2004 [30]
Heat-labile and heat-stable toxin genes in enterotoxigenic Escherichia coli Grant et al., 2006 [165]
Pathogen colonization in the bark and wood of Picea sitchensis Bodles et al., 2006 [166]
Detection of norovirus genogroups Hoehne and Schreier, 2006 [167]

Although RT PCR is a powerful technique for absolute comparison of all transcripts within the investigated tissue, it has a few problems as it depends critically on the correct use of calibration and reference materials. Successful and routine application of PCR diagnostics to tissues of plant/microbe consortium is often limited by the lack of quality template due to inefficient RNA extraction methodologies, but also the presence of high levels of unidentified, co-precipitated PCR inhibitory compounds, presumably plant polyphenolics and polysaccharides (Table 4).

Table 4.

PCR Inhibitory Compounds

Factors Influencing Polymerase Chain Reaction
Inhibitor Enhancer
Hemoglobin, Urea, Heparin DMSO, Glycerol, BSA, Formamide,PEG, TMANO, TMAC
Organic or phenolic compounds Special commercial enhancers,Gene 32protein, TaqExtender,Perfect Matchr
Glycogen, Fats, Ca2+ E. coli ss DNA binding
Tissue matrix effects
Laboratory items, powder, etc

The sampling procedures are of great importance towards the validation of analytical methods for analysis. The largest single source of error in the analysis of plant/microbe associations is the sampling procedure (Fig.1). Sampling risks can be managed by choosing an appropriate sample size for analysis. The extraction and purification of nucleic acids is a crucial step for the preparation of samples for PCR. Current methods for gene expression studies typically begin with a template preparation step in which nucleic acids are freed of bound proteins and are then purified. Many protocols for nucleic acid purification, reverse transcription of RNA and/or amplification of DNA require repeated transfers from tube to tube and other manipulations during which materials may be lost.

Fig. (1).

Fig. (1)

Sampling procedures are of great importance towards the validation of analytical methods for analysis.

Of the range of protocols reported for the extraction of DNA/RNA from plant material, most are complicated and time consuming in application. The protocols should be perused case by case and to be adopted judiciously for a particular plant species. In this respect major variations exist in this step as compared to samples of mammalian origin. Isolation of RNA is particularly challenging because this molecule is sensitive to elevated temperatures and is degraded by RNAses, which therefore have to be immediately inactivated upon cell lysis. Design of species or race specific primers from inter-specific universal internal transcribed spacer primers is also needed.

There are numerous commercially available kits for PCR. The data output from certain RT PCR machines gives an immediate appreciation of the kinetics of the PCR occurring within the tube and, in addition, gives an instantaneous visual representation of the amount of PCR product present following each cycle. Following a single RT PCR, the data extracted give the type of information that was only previously inferable from multiple conventional PCRs. Detailed information is available from the respective companies’ web-sites about the protocols and output information generated.

In this review, we highlight some of the general criteria and essential methodological components of PCR technologies, for rapid functional genomics. Examples are provided to illustrate the utility of results of plant pathology studies and validation of targets for mammalian studies.

APPLICATIONS

Medical Science

Nucleic acid amplification techniques have revolutionized diagnostics. Current technologies that allow the detection of amplification in real-time are fast becoming clinical standards, particularly in a personalized diagnostic context [2]. On the way to personalized medicine, we may stepwise improve the chances of choosing the right drug for a patient by categorizing patients into genetically definable classes that have similar drug effects (as, for example, human races, or any population group carrying a particular set of genes) [3]. Adverse drug reactions (ADRs) are a significant cause of morbidity and mortality. The majority of these cases can be related to the alterations in expression of clinical phenotype that is strongly influenced by environmental variables [4]. Application of RT PCR combined with other molecular techniques made possible the monitoring of both therapeutic intervention, and individual responses to drugs. However, it is wise to expect that, even after we have reached the goal to establish personalized medicine, we will not have eliminated all uncertainties [5]. The needs in clinical application of molecular methods initiated important developments in diagnostics stimulating progress in other branches of science. The introduction of these new methods in fields of human practices induced rapid expansion of molecular approaches.

Cancer

Cancer arises from the accumulation of inherited polymorphism (SNPs) and mutation and/or sporadic somatic polymorphism (i.e. non-germline polymorphism) in cell cycle, DNA repair, and growth signaling genes [6]. Despite advances in diagnostic imaging technology, surgical management, and therapeutic modalities, cancer remains a major cause of mortality worldwide. Early detection of cancer and its progression is difficult due to complex multifactorial nature and heterogeneity [7]. A reliable method to monitor progress of cancer therapeutic agents can be of immense use. RT PCR, currently the most sensitive method to quantify the specific DNA makes it possible to detect even a single molecule and diagnostics become feasible with lower amounts of complex biological materials compared to traditional methods [8, 9]. Research has been well documented in cancer research [10, 11, 12]. Most of the commonly occurring cancers have been detected by measuring marker gene expressions or by using probes. The sensitivity of single-marker assays is not high enough for clinical applications [13]. Adopting a multigene panel for most common malignant diseases (carcinoma of bladder, breast cancer, colorectal cancer, endometrial carcinoma) significantly increased the accuracy of diagnosis that is extremely important as each of them had excellent prognosis if diagnosed at early stage [14]. The use of new technology and methodic developments has been intensively started with diseases of complicated diagnosis (Table 5). During the first five years after introduction of RT PCR six of ten applications were made for detecting leukemias. Recently numerous kits are marketed for clinical tests, and these developments promoted the use of RT PCR in other fields of human practices.

Table 5.

Time Course of Developments in Application of Real-Time PCR Used for Cancer Diagnosis

Implications of RT PCR Reference
Molecular diagnosis of chronic myeloid leukemia Menskin et al., 1998 [168]
Molecular diagnosis of hematological malignancies Morgan and Pratt, 1998 [169]
Molecular diagnosis of follicular lymphoma Luthra et al., 1998 [170]
Molecular diagnosis of non-Hodgkins lymphoma Rambaldi et al., 2005 [171]
Diagnostics of acute lymphoblastic leukemia Eckert et al., 2000 [172]
Real-time quantitation of E2A-Pbx1 fusion gene; leukemia Pennings et al., 2001 [173]
Prostate-specific antigen detection Straub et al., 2001 [174]
Diagnosis of breast carcinoma cells in peripheral blood Aerts et al., 2001 [175]
Quantification of human herpesvirus 8, Kaposi’s sarcoma; multicentric Castleman’s disease Boivin et al., 2002 [176]
Analysis of low abundant point mutations in K-ras oncogenes Wabuyele et al., 2003 [177]
Hematologic neoplasia, human cytomegalovirus Ohyashiki et al., 2003 [178]
Molecular diagnosis of neuroblastoma Cheung et al., 2003 [179]
Quantitative analysis of methylated alleles, retinoblastoma Zeschnigk et al., 2004 [180]
Prostate cancer identification Jiang et al., 2004 [181]
Diagnostics of minimal residual disease; chronic myeloid leukemia, acute lymphoblastic leukemia Pongers-Willemse et al., 1998 [182];Preudhomme et al., 1999 [183]
Chronic myeloid leukemia Khalil, 2005 [184]
Lung cancer, oncogene mutations Schmiemann et al., 2005 [185]
Acute respiratory syndrome, chronic myeloid leukemia colorectal cancer Bustin and Mueller, 2005 [186]
Cutaneous melanoma Lewis et al., 2005 [187]
ATP-binding cassette transporters; cystic fibrosis; familial HDL deficiency; recessive retinitis pigmentosa, acute myeloid leukemia Schuierer and Langmann, 2005 [188]
Thyroid cancer Hesse et al., 2005 [189]
Allelic discrimination in prenatal diagnosis, single nucleotide polymorphism, cytokine gene expression Arya et al., 2005 [190]
Cancer diagnostics, non-Hodgkin lymphomas, B-cell lymphoma, follicular lymphoma Stahlberg et al., 2005 [9]
Human papillomavirus Molijn et al., 2005 [191]
Rapid detection of Hippel-Lindau disease Hoebeeck et al., 2005 [13]
Normalization of gene expression measurements in tumor tissues de Kok et al., 2005 [192]
Application of RT-PCR to intraoperative cancer diagnostics Raja et al., 2005 [193]

Virology

Majority of research using RT PCR has been made for detecting or quantifying viruses from viral infected human specimens. Various studies have provided protocols for detecting and quantifying viruses especially related to human diseases [15]. Detection of HSV1 and HSV2 was achieved by using TaqMan probes and it was in many ways alternative to conventional nested PCR assays [16]. Recently, a detection, quantification and differentiation between HSV1 and HSV2 genotypes were achieved using primers and probes (Light cycler) targeting HSV DNA polymerase gene [17]. Furthermore, genital herpes, which is the most common sexually transmitted disease (STD) around the world, accounts for 20 % of the STDs in United States alone [18]. RT PCR detection of HSV of genital and dermal specimens has also been well documented [1925]. RT PCR showed superior sensitivity in detecting varicella-zoster virus compared to cell culture assays in dermal specimens [21, 26, 27]. Further RT PCR has been standardized for studying the interactions between virus and the host, which in turn can provide a reliable means to study the efficacy of antiviral compounds or to determine the chronic conditions [28, 29]. Immuno-deficient patients tend to harbor several co-infections; under this, detection of multiple pathogens is essential for therapy (Table 6). RT PCR multiplex assays have been developed for viral genotype differentiation [17, 30].

Table 6.

Application of Real-Time PCR for Virus Diagnosis

Implications of RT PCR Reference
Detection of Herpesvirus in central nervous system, genital and dermal regions Ryncarz et al., 1999 [19]
Highly sensitive detection of Varicella-zoster virus from dermal specimens Epsy et al., 2000b [21]
Detection and quantification of cytomegalovirus Aberle et al., 2002 [194]
Epstein barr virus Niesters et al., 2000 [195]
Enterovirus Verstrepen et al., 2001 [196]
Polymavirus Whiley et al., 2001 [197]
Parovirus Schmidt et al., 2001 [198]
West nile virus Briese et al., 2000 [199]
Respiratory viruses Ward et al., 2004 [200]
Poxviruses Espy et al., 2002 [201]
BK virus Leung et al., 2002 [202]
Hepatitis virus Costa-Mattioli et al., 2002 [203]
Parapoxviruses Nitsche et al., 2006 [204]
Dengue virus Chien et al., 2006 [205]
HIV Desire et al., 2001 [206]
Rift Valley virus Garcia et al., 2001 [207]
Parainfluenza virus Hu et al., 2005 [208]
SAR associated coronavirus Keightley et al., 2005 [209]
St Louis encephalitis virus Lanciotti and Kerst, 2001 [210]
Denge virus serotype detection Shu et al., 2003 [211]
Influenza virus serotype detection Templeton et al., 2004 [30]

Bacteriology

Traditionally, initial antibiotic therapy was based on identifying the Gram stain classification. High variability that existed in identification of bacterial pathogens by mere observations was corrected by use of conventional PCR-based methods; later, this was further fastened by use of RT PCR. Fluorescence hybridization probes allowed a fast detection of low amounts of bacterial DNA and a correct Gram stain classification [31]. RT PCR has been shown as advantageous over other techniques (immunoassay or culture method) for detecting the bacteria irrespective of type of clinical specimen and especially those which are difficult to culture or slow growing. A quicker conformation of the pathogen will facilitate early prescription of appropriate antibiotics. Published accounts indicate that RT PCR was faster and sensitivity was greater or equal in some cases when compared to conventional methods.

Identification of mycobacterial infections earlier on certain occasions lacked specificity and sensitivity while employing conventional methods [32]. Mycobacterium species of common interest and so far detected as well as quantified by RT PCR include Mycobacterium tuberculosis, M. avium, M. bovis, M. bovis BCG, M. abscessus, M. chelonae and M. ulcerans [3340]. Further, detection of antitubercular resistant isolates that were usually detected by broth dilution method have been replaced by RT PCR targeting mutant genes isoniazid (katG), rifampin (rpoB) and ethambutol (embB) from culture or clinical specimens [4145].

Bacteria represent the potential agents for biological warfare. Some RT PCR assays (Light Cycler) have allowed the use of autoclaved samples for immediate detection of Bacillus species causing anthrax [4647]. However, clinical studies are required to determine the usefulness of these tests for the rapid identification of this pathogen directly from human specimens.

Fungi

Major fungi causing infections in humans are Aspergillus species (A. fumigatus, A. flavus, A. niger, A. nidulans, A. terreus, A. versicolor), Candida species (C. albicans, C. dub-liniensis), and Pneumocystis jiroveci. The conventional methods developed for detection of these infectious fungi are culturing, histopathology/phenotypic assays/biochemicals/ microscopy, conventional PCR, nucleic acid probe, CFU quantification, broth dilution and staining followed by microscopic observations. The efficacy of these methods seems to be slower on many occasions. The RT PCR for detecting and measuring the same proved to be faster on many instances irrespective of the clinical specimen [4853]. Quantitative or qualitative RT PCR assays have also been developed for other fungi such as Coccidioides sp., Conidiobolus sp., Cryptococcus sp., Histoplasma sp., Pneumocystis sp., Paracoccidioides sp., and Stachybotrys sp. [5461].

Protozoa

Molecular biology (and particularly PCR) has been increasingly used for the diagnosis of parasitic protozoa of medical interest [62]. RT PCR and other technical improvements in the past decade permit precise quantification and routine use for the diagnosis facilitating the study of parasitic populations, although the use of this method for malaria remains limited due to high cost [62]. RT PCR assays for clinical application have been described for detecting amoebic dysentery [63], chagas’ disease [64], cutaneous and visceral leishmaniasis [65], giardiasis [66], Cyclospora cayeta- nensis [66] causing prolonged gastroenteritis [67], toxoplas-mosis in the amniotic fluid of pregnant women [68], and in immuno-compromised patients [69]. Protozoans cause several diseases, which are endemic in large parts of the world. Further genome sequencing efforts are requested as many parasitologists work on organisms whose genomes have been only partially sequenced and where little, if any, annotation is available [70].

Veterinary

Viruses

Animal models have served investigators from decades to understand several biological functions of humans including disease diagnosis and to take appropriate measures for therapy. The development of quantitative reverse transcription-PCR, such as RT RT-PCR techniques, approach theoretical limits of per reaction sensitivity, further increments in the sensitivity of measurements of the pathogens [7172]. Infection of domestic cats with the feline immunodeficiency virus (FIV) results in a fatal immunodeficiency disease, and is similar to the human immunodeficiency virus 1 (HIV-1) in humans. This has helped the progress of in-depth research on this morphologically and genetically resembling virus especially in development of candidate vaccines. Highly sensitive detection and quantification assays have been developed by RT PCR methods for this virus [71, 73]. Simian immunode-ficiency virus (SIV) detection was earlier done by branched-chain DNA assay that was quite expensive, but with low sensitivity (1500 viral RNA copies/ml). Leutenegger and coworkers developed a TaqMan RT RT-PCR assay which could detect with higher sensitivity (50 viral RNA copies/ml) [74]. Feline coronavirus (FcoV) is known to be more prevalent in cat population and is a fatal infectious disease. Control measures include detection as well as separation of infected populations or vaccination. A reliable absolute quantification real-time TaqMan probes were designed to detect important laboratory and field strains of FcoV by Gut and co-workers [75]. Further, tick-borne zoonotic pathogens are well known in many areas all over the world [76]. Clinical diagnosis of tick-borne diseases is difficult due to unusual clinical signs. Early diagnosis and treatment is necessary to prevent fatal infections and chronic damage to various tissues. A series of new projects in this area have yielded detection and quantification methods for important tick borne pathogens [7779]. Other studies on various aspects of veterinary science have been performed using RT PCR for instance, effects of viral infections on neural stem cell viability [80], detection of several viruses [8183], innate immune responses to virus infection [84], factors influencing viral replication [85], gene expression profiling during infection [86], characterization of viruses [87] are a few to mention.

Bacteria

Insects tend to harbor Corynebacterium pseudotubercu-losis and are responsible for the disease spread in dairy farms [88]. An investigation on identification of insect vectors spreading Corynebacterium pseudotuberculosis by TaqMan PCR assay (PLD gene) supported the hypothesis that this pathogen may be vectored to horses by Haematobia irritans, Stomoxys calcitrans, and Musca domestica. The organism can be identified in up to 20 % of houseflies in the vicinity of diseased horses [89].

Mycoplasma

The prevalence, clinical manifestations, and risk factors for infection for all three feline hemoplasma species were performed by Willi and co-workers [90]. Diagnosis, quantification, and follow-up of hemoplasma infection in cats were performed using three newly designed sensitive RT PCR assays. Efficacy Marbofloxacin drug was studied in cats against Candidatus Mycoplasma haemominutum, which revealed decreased copy number of the pathogen and no correlation was evident on Candidatus Mycoplasma haemominu-tum in chronic FIV infection [9192].

Food Microbiology and Safety

Mycotoxins are the major food contaminants and they have become a great concern worldwide due to their several ill effects [93]. In order to overcome this problem, a rapid, cost-effective, and automated diagnosis of food-borne pathogens throughout the food chain continues to be a major concern for the industry and public health. An international expert group of the European Committee for Standardization has been established to describe protocols for the diagnostic detection of food-borne pathogens by PCR [94]. A standardized PCR-based method for the detection of food-borne pathogens should optimally fulfill various criteria such as analytical and diagnostic accuracy, high detection probability, high robustness (including an internal amplification control [IAC]), low carryover contamination, and acceptance by easily accessible and user-friendly protocols for its application and interpretation [95]. RT PCR has the potential to meet all these criteria by combining amplification and detection in a one-step closed-tube reaction. A high throughput identification of Fusarium at genus level or distinguishing species [9697] has been published. Salmonella, one of the most common causes of food-borne disease outbreaks due to its widespread occurrence and several sources have been known to harbor this pathogen [98]. A duplex real-time SYBR Green LightCycler PCR (LC-PCR) assay was developed for 17 food/water borne bacterial pathogens from stools by Fukushima and co-workers [99100]. The pathogens examined were enteroinvasive Escherichia coli, enteropatho-genic E. coli, enterohemorrhagic E. coli, enterotoxigenic E. coli, enteroaggregative E. coli, Salmonella spp., Shigella spp., Yersinia enterocolitica, Yersinia pseudotuberculosis, Campylobacter jejuni, Vibrio cholerae, Vibrio parahaemo-lyticus, Vibrio vulnificus, Aeromonas spp., Staphylococcus aureus, Clostridium perfringens, Bacillus cereus, Plesio-monas shigelloides and Providencia alcalifaciens. Further, detection assays for Clostridium botulinum applicable to both purified DNA and crude DNA extracted from cultures and enrichment broths as well as DNA extracted directly from clinical and food specimens were developed [101]. Similarly, RT PCR has been used to quantify the food-borne pathogen Listeria monocytogenes by first incorporating an IAC [102].

Food borne viral infections are one of the leading diseases in humans worldwide. Currently over two billion people have evidence of previous Hepatitis B virus infection and 350 million have become chronic carriers of the virus [103]. Successful detection of this virus from serum and plasma, by RT PCR has been developed. This method is useful for monitoring the efficacy of Hepatitis B virus therapy and screening human population in endemic areas. Other important food borne viruses quantified by this technique are Ro-tavirus [104] and gastroenteritis virus [105]. However, detection or quantification of these viruses directly from various types of food samples seems to be a difficult task.

Forensic Science

Advanced technologies for DNA analysis using short tandem repeats (STR) sequences has brought about a revolution in forensic investigations. One of the most common methods used is PCR, which allows accurate genotype information from samples. Forensic community relied on slot blot technique which is time consuming and labor intensive. RT PCR has become a well-recognized tool in forensic investigations. Improved amplification and quantification of human mtDNA was accomplished by monitoring the hyper-variable region (HV1) using fluorogenic probes, and the same study was also extended to discriminate sex. A duplex RT qPCR assay was developed for quantifying human nuclear and mitochondrial DNA in forensic samples and this method also was efficient for highly degraded samples [106]. Repetitive Alu sequence based RT PCR detection has been developed and have proved to be advantageous compared with other methods with detection limits as low as 1 pg [107]. MGB Eclipse primers and probes as well as QSY 7-labeled primer PCR method have been designed for Alu sequence [108109]. Similarly, RT PCR assays to quantify total genomic DNA and identify males from forensic samples with high efficiency have been standardized [110]. Recently, human DNA quantifier and qualifier kits have been developed and validated. The efficiency was either comparable or superior to methods available [111]. Forensic samples are often contaminated with PCR inhibitors and DNA extrac- tion methods fail to exclude the contaminants. A computa- tional method that allows analysts to identify problematic samples with statistical reliability was standardized by using tannic acid and comparing the amplification efficiencies of unknown template DNA samples with clean standards [112]. Further, methods have also been standardized for assessing the DNA degradation in forensic samples [113].

Environmental Issues

RT PCR is a convenient method for detection of the mobility of genetic elements. The worldwide increasing environmental pollution is pressing us to find new methods for elimination of undesirable chemicals. The application of microorganisms for the biodegradation of synthetic compounds (xenobiotics) is an attractive and simple method. Unfortunately, the majority of these pollutants are chemically stable and resistant to microbial attack. The isolation of new strains or the adaptation of existing ones to the decomposition of xenobiotics will probably increase the efficacy of microbiological degradation of pollutants in the near future. The widespread application of combined techniques using microbiological decomposition and chemical or physical treatments to enhance the efficacy of the microbiological decomposition can also be expected. The cloning and expression in Escherichia coli of an ‘azoreductase’ from various species have been reported (Table 7). The exoenzymes of white-rot fungi have also been objects of genetic engineering. The laccase of various filamentous fungi was successfully transmitted into yeast. These manipulations enhanced the capacity of microorganisms to decompose pol-yaromatic compounds (PAC).

Table 7.

Improvement of Deteriorative Activity of Organisms by Interspecific Transfer of Genetic Elements

Organisms Function References
Donor Acceptor
Prokaryotes
Clostridium perfringens Escherichia coli Azoreductase Rafii and Coleman (1999) [212]
Bacillus sp. E. coli Azoreductase Suzuki et al. (2001) [213]
Rhodococcus sp. E. coli Azoreductase Chang and Lin (2001) [214]
Xenophilus azovorans E. coli Azoreductase Blumel et al. (2002) [215]
E. coli Sphingomonas xenophaga Flavin reductase Russ et al. (2000) [216]
Agrobacterium rhizogenes Mentha puligeum Tolerance to R–478 Strycharz and Shetty (2002) [115]
Eukaryotes
Geotrichum candidum Aspergillus oryzae Peroxidase Sugano et al. (2000) [217]
Ceriporiopsis subvermispora A. nidulans Peroxidase Larrondo et al. (2003) [218]
C. subvermisopra A. oryzae Peroxidase Larrondo et al. (2001a) [219]
Coprinus cinereus Saccharomyces cerevisiae Laccase Cherry et al. (1999) [220]
C. cinereus A. oryzae Laccase Schneider et al. (1999) [221]
Coriolus versicolor Nicotiana tabacum Peroxidase Iimura et al. (2002) [116]
Phanerochaete chrysosporium A. nidulans Peroxidase Larrondo et al. (2001b) [222]
Pycnoporus cinnabarinus Pychia pastoris Laccase Otterbein et al. (2000) [223]
P. cinnabarinus A. niger Laccase Record et al. (2002) [224]
Pleurotus sajor-caju P. pastoris Laccase Soden et al. (2001) [225]
Trametes versicolor S. cerevisiae Laccase Larsson et al. (2001) [226]
T. versicolor P. pastoris Laccase O’Callaghan et al. (2002) [227]
T. versicolor P. pastoris Laccase Hong et al. (2002) [228]
Armoracia rusticana S. cerevisiae Peroxidase Morawski et al. (2001) [114]

The expression of oxidases from higher plants augmented the catabolic potential of microbes [114] and in turn microbial genes straightened the tolerance of higher plant to Poly R-487 [115116]. Plants tolerant to PACs may be useful in phytoremediation because they could provide a rhizosphere that was suitable for colonization by microbes that are efficient degraders of aromatic structures. Moreover, the plant derived compounds can induce production of fungal redoxenzymes. The C-hydroxylation of aromatic rings by mammalian monoxygenases facilitates subsequent microbial degradation. Human cytochrome P450 enzymes are now routinely expressed as recombinant proteins in many different systems [117118]. The capacity of such recombinants to catabolize PACs has been tested. It is clear that complexity of association involved in the complete degradation should be increased with increasing complexity of the chemical structure of xenobiotics. The genetically engineered micro-organisms can accomplish degradation of xenobiotics, which persist under normal natural conditions. In natural habitats, complex microbial/macrobial communities carry out biodegradation. Within them, a single organism may interact through inter-specific transfer of metabolites. This co-metabolic potential may be complementary so that extensive biodegradation or even mineralization of xenobiotics can occur [119]. In this respect, deterioration of industrial and municipal effluents in constructed wetlands with multi-site catabolic potential is a promising possibility. Mobilizing specific genes, encoding nonspecific multifunctional degradative sequences, may decisively increase the degradative potential of natural synthropic community against synthetic pollutants and persisting natural toxins. The use of recombinants that harbor deteriorating determinants from other species can essentially enhance the capacity of remediation technologies. However, the widespread use of genetically modified organism needs continuous survey of gene transmission, and for that RT PCR is a plausible and rapid method.

Plant

Validation of Microarray Results

RT PCR has been employed to study the gene expression patterns during several stresses leading to activation of genes relating to signal transduction, biosynthesis, and metabolism. Nitrogen deprivation response in Arabidopsis was analyzed by profiling transcription factors using Affymetrix ATH1 arrays and a RT RT-PCR platform [1, 120]. The results revealed large number of differentially expressed putative regulator genes. In this study, MapMan visualization software was used to identify coordinated, system-wide changes in metabolism and other cellular processes. Similarly, Czechowski and co-workers have profiled of over 1,400 Arabidopsis transcription factors, and revealed 36 root and 52 shoot specific genes [121]. Further, gene expression studies have been made in the direction of stress signaling during biotic and abiotic stress conditions in plants [122127]. Standardization of house-keeping genes for such studies has been made in potato. Among the seven common genes tested, ef1alpha was the most stable gene during biotic and abiotic stress [128]. Furthermore, the data obtained by microarray analysis are questioned on few instances and confirmation is achieved by RT PCR (or conventional PCR in some instances). The expression levels observed in microar-ray is generally higher compared to measurement by RT PCR [129]. In general, studies made so far reveal a good relationship between these two techniques, and for this reason RT PCR is considered as confirmatory tool for microar-ray results [130].

Plant-Microbe Interaction

Host plant and associated microbes form a special consortium where the parasite is an alien element. Early diagnosis of the pathogens can provide rapid and suitable measurements for limiting the epidemics and selection of appropriate control measures. Molecular diagnostics is a rapidly growing area in plant pathology especially for detection and quantification of commercially important crop pathogens. As a novel methodology, adoption of RT PCR technique is of growing interest due to its rapidity and sensitivity as well as its ability to detect minute amounts of the pathogen’s DNA from infected plant tissues and insect vectors [131]. Simultaneous detection of several pathogens can be achieved by multiplex PCR. The technique has aided detection of pathogens associated with serious diseases like Fusarium head blight, which is a prerequisite for reduction in the incidence by understanding of its epidemiology [97]. Several reports are available on detection and/or quantification of plant pathogens (Table 8). Published literature reveals quantification of pathogens [132133], determination of symbiotic microbes and pathogens [134], detection/quantification of seed borne pathogens [135], host resistance screening [136] and distinguishing between pathogen pathovars [137138] using RT PCR.

Table 8.

Plant Pathogens/Pests Determined by Quantitative Real-Time PCR

Pathogen Host Reference
Clavibacter sepedonicus Potato tubers Schaad et al., 1999 [229]
Ralstonia solanacearum Potato tubers Weller et al., 2000 [230]
Acidovorax avenae subsp. citrulli Watermelon Randhawa et al., 2001 [231]
Agrobacterium strains Several plants Weller and Stead, 2002 [232]
Xylella fastidiosa Grape vine Schaad and Fredrick; 2002 [1]
Erwinia amylovora Apple Salm and Geider, 2004 [233]
Spongospora subterranea Potato van de Graaf et al., 2003 [234]
Synchytrium endobioticum Potato van den Boogert et al., 2005 [153]
Fusarium solani f. sp. phaseoli Soil-french beans Filion et al., 2003 [235]
Ophiosphaerella narmari Bermuda grass McMaugh and Lyon, 2003 [122]
Phytophthora infestans Potato Avrova et al., 2003 [236]
Verticillium dahliae oliva tree Mercado-Blanco et al., 2003 [237]
Alternaria brassicicola Arabidopsis Gachon and Saindrenan, 2004 [238]
Botrytis cinerea Arabidopsis Gachon and Saindrenan, 2004 [238]
Fusarium solani f. sp. glycines Soybean Gao et al., 2004 [239]
Phytophthora ramorum Sudden oak Hayden et al., 2004 [240]; Tomlinson et al., 2005 [241]
Tilletia spp. Wheat Eibel et al., 2005 [242]
Biscogniauxia mediterranea Oak Luchi et al., 2005 [243]
Fusarium oxysporum f. sp niveum Melon and soil Zhang et al., 2005 [244]
Mycosphaerella melonis Melon and soil Zhang et al., 2005 [244]
Oculimacula sps. Wheat Walsh et al., 2005 [245]
Thrips palmi melon Walsh et al., 2005 [246]
Candidatus Liberobacter species citrus Li et al., 2006 [247]
Heterobasidion annosum Spruce Bodles et al., 2006 [136]
Xanthomonas campestris Brassicas Berg et al., 2006 [137]
Phytophthora ramorum Parrotia persica Tomlinson et al., 2005 [241]
Biscogniauxia nummularia Fagus sylvatica L. Luchi et al., 2006 [248]
Puccinia coronata Barley Jackson et al., 2006 [249]
Candidatus Phytoplasma americanum Potato Crosslin et al., 2006 [131]
Potato yellow vein virus Potato Lopez et al., 2006 [250]

Species Identification

In plants, the presence of such a large number of multiple copies within each gene family complicates the clear understanding of function of each member. Plant molecular biologists prefer RT PCR methods to other methods and the number of findings is increasing at high rate. The northern blotting determination of genes expressed at lower levels is difficult and closely related genes may cross-hybridize [139]. Both unique and redundant functions within a multigene family have been identified [140142]. Expression analysis of all members (33 genes) encoding cell-wall enzymes in Arabidopsis thaliana using RT PCR revealed that most members exhibited distinct expression profiles along with redundant expression patterns of some genes [143]. Similarly, an expression profile for shaggy-like kinase multigene family during plant development has also been made using this technique [144]. Further, transformants with high number of copies lead to lower or unstable gene expression of inserted gene. Primary transformants are analyzed for randomly inserted gene copy number. A study using duplex RT PCR has also been described for determining the transgene copy number in transformed plants with high degree of correlation with southern blot analysis [145]. Likewise, many studies are available on detection of copy number using RT PCR in various crops [146147].

CONCLUSIONS

RT PCR is becoming a common tool for detecting and quantifying expression profiles of desired genes. The review itself indicates that the technology to detect PCR products in real-time, i.e., during the reaction, has seen a dramatic leap in use and application over the past couple of years. The PCR based detection technologies utilizing species- specific primers are proving indispensable as research tools providing enhanced information on biology of plant-microbe interactions with special regard to the ecology, aetiology and epidemiology of plant pathogenic micro-organisms. The RT PCR allows quantitative genotyping and detection of single nucleotide polymorphisms and allelic discrimination as well as genetic variation. The use of multiplex PCR systems using combined probes and primes targeted to sequences specific to counterpartners of plant/microbe associations is becoming more important than standard PCR, which is proving to be insufficient for such living systems. Application of RT PCR combined with other molecular techniques made possible the monitoring of both therapeutic intervention and individual responses to drugs. Developments in bioinformatics helped to understand how the genome gives rise to different cell types, how it contributes to basic and specialized functions in those cells and how it contributes to the ways cells interact with the environment. RT PCR is a valuable methodic tool in clarifying such problems. The needs in clinical application of molecular methods initiated important developments in diagnostics stimulating progress in other branches of science. The introduction of these new methods in other fields of human practices induced rapid expansion of molecular approaches.

CHALLENGES

Plants and animals use small RNAs (microRNAs [miR-NAs] and siRNAs) as guides for post-transcriptional and epigenetic regulation. The microRNAs (miRNAs) were initially considered a biological sideshow, the oddly interesting regulators of developmental timing genes in Caenorhabditis elegans. But in the past few years, studies have shown that miRNAs are a considerable part of the transcriptional output of the genomes of plants and animals. Therefore these miR-NAs play important regulatory functions in widespread biological activities. Accordingly, miRNAs are now recognized as an additional layer of post-transcriptional control that must be accounted for if we are to understand the complexity of gene expression and the regulatory potential of the ge-nome. Owing to this impressive progress in understanding the genomics and functions of miRNAs, we think this is an ideal time to examine the available evidence to see where this rapidly growing field is going. The small RNA repertoire in plants is complex, and few known about their function that constitute new challenges [148].

Research has focused on approaches to detect the presence of miRNAs and their impact on genomes, and the roles they play in regulating biological functions had been explored. Studies generally followed a progressive logic from discovery to target prediction to function to systems perspective and finally to organism perspective.

Plant and animal genomes have been shaped by miRNAs, as seen by the substantial number of conserved miRNAs that have accumulated through selection and the presence of miRNA target sites in genes of diverse functions. However, the true number of miRNAs and targets remains difficult to estimate. In plants, miRNAs and trans-acting (ta) siRNAs form through distinct biogenesis pathways, although they both interact with target transcripts and guide cleavage [149]. Developments in bioinformatics requested for correct definition a ‘true’ miRNA and the implications this definition will have for future studies. Approaches to the prediction of targets of miRNAs consider the case for combinatorial control of target expression by multiple miRNAs acting synergistically. Some of the fundamental goals of investigations into genome function are to understand how the genome gives rise to different cell types, how it contributes to basic and specialized functions in those cells and how it contributes to the ways cells interact with the environment. RT PCR is a valuable methodic tool in clarifying such problems. One has to take a systems approach to conceptualize a network of interacting miRNAs and targets and might be supposed that miRNAs act to canalize developmental gene expression programs through ontogeny on both unicellular and multicellular organisms. The topology of this network resembles that mapped previously in yeast, reinforcing the idea that similar networks may underlie the genetic basis of complex human disease. Recent breakthrough discovery by Rigoutsos and co-workers of self-similar, repetitive elements (what they call “Pyknons”) throughout the coding- as well as non-coding “Junk” DNA elevates the question how the novel findings relate to fractality of the DNA as well as opens question on fractal hierarchies of complex organization of genes and non-genes [150]. These unexpected findings suggest functional connections between the coding and noncod-ing parts of the human genome. Some recent data provide evidence for roles of miRNAs encoded in pathogen and host cell in influencing the cell-type specificity of their interaction. The miRNAs from an organismal perspective and other endogenous regulatory RNAs in plants might have diverse biological roles in realization of both developmental programs and stress responses. There are several instances of polymorphism influence on human disease progression but no definitive answer has yet to be obtained. However, no data was found in plant-microbe interactions. Most heritable traits, including disease susceptibility, are affected by interactions between multiple genes. However, we understand little about how genes interact because very few possible genetic interactions have been explored experimentally.

A genome-wide association approaches to map the genetic determinants of the transcriptome in established host/parasite complexes and microbial populations associated to plants. The concept, that genes and non-genes comprise fractal sets, determining the ensuing fractal hierarchies of complexity of biological processes undoubtedly helps to analyze enormous sets of data obtained by RT PCR on functional expression of genes. Although algorithms for discovery of generic motif in sequential data represent an extremely valuable tool for data analysis, the emergence of informatic market makes difficulties as patent applications back out of scientific disputation on these new methods in large scale [151]. Nevertheless, one can assume that application of this approach to plant-microbe interactions will accelerate evolution of our imaginations about this matter and initiates elaboration of new theory of plant pathology. Also, the organization of microbial consortia and their functional interaction with macrobial partners can be evaluated in whole complexity basing on this new concept.

The genes might also serve as therapeutic agents. The use of alien toxin as well as detoxifying enzyme-coding genes led to promising economic results in plant cultivation. Sequencing of the genomes of a number of model organisms provides a strong framework to achieve this goal. Several methods, among which gene expression profiling and protein interaction mapping, are being used on a large-scale basis, and constitute useful entry points to identify pathways involved in disease mechanisms. The requested time for clarification of these processes can be shortened by applying RT PCR.

The methods relying on the genetic manipulation of well-characterized and simple models of host/parasite systems (HPS) to reconstruct disease-associated pathways can pinpoint biologically-valid therapeutic targets on the basis of function-based datasets generated in vivo. The HPSs are strongly complementary to well-established complex models, and multiple ways exist to integrate these results into the early stage of the drug discovery process.

REFERENCES

  • 1.Schaad NW, Fredrick RD. Real-time PCR and its application for rapid plant disease diagnostics. Can J Plant Pathol. 2002;24:250–258. [Google Scholar]
  • 2.Monis PT, Giglio S. Nucleic acid amplification-based techniques for pathogen detection and identification. Infect Genet Evo. 2006;6:2–12. doi: 10.1016/j.meegid.2005.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Kalow W. Pharmacogenetics and personalised medicine. Fundament Clin Pharmacol. 2002;16:337–342. doi: 10.1046/j.1472-8206.2002.00109.x. [DOI] [PubMed] [Google Scholar]
  • 4.Severino G, Del Zompo M. Adverse drug reactions: role of pharmacogenomics. Pharmacol Res. 2004;49:363–373. doi: 10.1016/j.phrs.2003.05.003. [DOI] [PubMed] [Google Scholar]
  • 5.Kalow W. Pharmacogenetics and pharmacogenomics: origin, status, and the hope for personalized medicine. Pharmacogenomics J. 2006;6:162–165. doi: 10.1038/sj.tpj.6500361. [DOI] [PubMed] [Google Scholar]
  • 6.Kirk BW, Feinsod M, Favis R, Kliman RM, Barany F. Single nucleotide polymorphism seeking long term association with complex disease. Nucleic Acids Res. 2002;30:3295–3311. doi: 10.1093/nar/gkf466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Alaoui-Jamali MA, Xu YJ. Proteomic technology for biomarker profiling in cancer: an update. J Zhejiang Univ Sci B. 2006;7:411–420. doi: 10.1631/jzus.2006.B0411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Liefers GJ, Tollenaar RAEM. Cancer genetics and their application to individualized medicine. Eur J Cancer. 2002;38:872–879. doi: 10.1016/s0959-8049(02)00055-2. [DOI] [PubMed] [Google Scholar]
  • 9.Stahlberg A, Zoric N, Aman P, Kubista M. Quantitative real-time PCR for cancer detection: the lymphoma case. Expert Rev Mol Diagn. 2005;5:221–230. doi: 10.1586/14737159.5.2.221. [DOI] [PubMed] [Google Scholar]
  • 10.Khanna C, Helman LJ. Molecular approaches in pediatric oncology. Annu Rev Med. 2006;57:83–97. doi: 10.1146/annurev.med.57.121304.131247. [DOI] [PubMed] [Google Scholar]
  • 11.Stahlberg A, Zoric N, Aman P, Kubista M. Quantitative real-time PCR for cancer detection: the lymphoma case. Expert Rev Mol Diagn. 2005;5:221–230. doi: 10.1586/14737159.5.2.221. [DOI] [PubMed] [Google Scholar]
  • 12.Mackay IM. Real-time PCR in the microbiology laboratory. Clin Microbiol Infect. 2004;10:190–212. doi: 10.1111/j.1198-743x.2004.00722.x. [DOI] [PubMed] [Google Scholar]
  • 13.Hoebeeck JVDL, Poppe R, De Smet B, Yigit E, Claes N, Zewald N, de Jong R, De Paepe GJ, Speleman A, Vandesompele F. Rapid detection of VHL exon deletions using real-time quantitative PCR. Lab Investig. 2005;85:24–33. doi: 10.1038/labinvest.3700209. [DOI] [PubMed] [Google Scholar]
  • 14.Epsy MJ, Uhl JR, Sloan LM, Buckwalter SP, Jones MF, Vetter EA, Yao JDC, Wengenack NL, Rosenblatt JE, Cockerill FR, Smith TF. Real-time PCR in clinical microbiology: Applications for routine laboratory testing. Clin Microbiol Rev. 2006;19:165–256. doi: 10.1128/CMR.19.1.165-256.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kaltenboeck B, Wang C. Advances in real-time PCR: application to clinical laboratory diagnostics. Adv Clin Chem. 2005;40:219–259. doi: 10.1016/S0065-2423(05)40006-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Weidmann M, Meyer-König U, Hufert FT. Rapid detection of herpes simplex virus and varicella-zoster virus infections by real-time PCR. J Clin Microbiol. 2003;41:1565–1568. doi: 10.1128/JCM.41.4.1565-1568.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Legoff J, Bouhlal H, Gresenguet G, Weiss H, Khonde N, Hocini H, Desire N, Si Mohamed A, Longo JD, Chemin C, Frost E, Pepin J, Malkin JE, Mayaud P, Belec L. Real-time PCR quantification of genital shedding of herpes simplex virus (HSV) and human immunodeficiency virus (HIV) in women coinfected with HSV and HIV. J Clin Microbiol. 2006;44:423–432. doi: 10.1128/JCM.44.2.423-432.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Fleming DT, McQuillan GM, Johnson RE, Nahmias AJ, Aral SO, Lee FK, St Louis ME. Herpes simplex virus type 2 in the United States, 1976 to 1994. N Engl J Med. 1997;337:1105–1111. doi: 10.1056/NEJM199710163371601. [DOI] [PubMed] [Google Scholar]
  • 19.Ryncarz AJ, Goddard J, Wald A, Huang ML, Roizman B, Corey L. Development of a high-throughput puantative assay for detecting herpes simplex virus DNA in clinical samples. J Clin Microbiol. 1999;37:1941–1947. doi: 10.1128/jcm.37.6.1941-1947.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Espy MJ, Ross TK, Teo R, Svien KA, Wold AD, Uhl JR, Smith TF. Evaluation of LightCycler PCR for implementation of laboratory diagnosis of herpes simplex virus infections. J Clin Microbiol. 38:3116–3118. doi: 10.1128/jcm.38.8.3116-3118.2000. 2000a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Espy MJ, Teo R, Ross TK, Svien KA, Wold AD, Uhl JR, Smith TF. Diagnosis of varicella-zoster virus infections in the clinical laboratory by LightCycler PCR. J Clin Microbiol. 38:3187–3189. doi: 10.1128/jcm.38.9.3187-3189.2000. 2000b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Koenig M, Reynolds KS, Aldous W, Hickman M. Comparison of Light-Cycler PCR, enzyme immunoassay, and tissue culture for detection of herpes simplex virus. Diagn Microbiol Infect Dis. 2001;40:107–110. doi: 10.1016/s0732-8893(01)00260-7. [DOI] [PubMed] [Google Scholar]
  • 23.Burrows J, Nitsche A, Bayly B, Walker E, Higgins G, Kok T. Detection and subtyping of Herpes simplex virus in clinical samples by LightCycler PCR, enzyme immunoassay and cell culture. BMC Microbiol. 2002;2:12. doi: 10.1186/1471-2180-2-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Aldea C, Alvarez CP, Folgueira L, Delgado R, Otero JR. Rapid detection of herpes simplex virus DNA in genital ulcers by real-time PCR using SYBR green I dye as the detection signal. J Clin Microbiol. 2002;40:1060–1062. doi: 10.1128/JCM.40.3.1060-1062.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wald A, Huang ML, Carrell D, Selke S, Corey L. Polymerase chain reaction for detection of herpes simplex virus (HSV) DNA on mucosal surfaces: comparison with HSV isolation in cell culture. J Infect Dis. 2003;188:1345–1351. doi: 10.1086/379043. [DOI] [PubMed] [Google Scholar]
  • 26.van Doornum GJ, Guldemeester J, Osterhaus AD, Niesters HG. Diagnosing herpesvirus infections by real-time amplification and rapid culture. J Clin Microbiol. 2003;41:576–580. doi: 10.1128/JCM.41.2.576-580.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Schmutzhard J, Riedel HM, Wirgart BZ, Grillner L. Detection of herpes simplex virus type 1, herpes simplex virus type 2 and varicella-zoster virus in skin lesions. Comparison of real-time PCR, nested PCR and virus isolation. J Clin Virol. 2004;29:120–126. doi: 10.1016/s1386-6532(03)00113-6. [DOI] [PubMed] [Google Scholar]
  • 28.Kimura H, Morita M, Yabuta Y, Kuzushima K, Kato K, Kojima S, Matsuyama T, Morishima T. Quantative analysis of Epstein-Barr virus load by using a real-time PCR assay. J Clin Microbiol. 1999;37:132–136. doi: 10.1128/jcm.37.1.132-136.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.MacKenzie J, Gallagher A, Clyton RA, Perry J, Eden OB, Ford AM, Greaves MG, Jarrett RF. Screening for herpesvirus genomes in common acute lymphoblastic leukemia. Leukemia. 2001;15:415–421. doi: 10.1038/sj.leu.2402049. [DOI] [PubMed] [Google Scholar]
  • 30.Templeton KE, Scheltinga SA, Beersma MF, Kroes AC, Claas EC. Rapid and sensitive method using multiplex real-time PCR for diagnosis of infections by influenza A and influenza B viruses, respiratory syncytial virus, and parainfluenza viruses 1, 2, 3, and 4. J Clin Microbiol. 2004;42:1564–1569. doi: 10.1128/JCM.42.4.1564-1569.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Klaschik S, Lehmann LE, Raadts A, Book M, Hoeft A, Stuber F. Real-time PCR for detection and differentiation of gram-positive and gram-negative bacteria. J Clin Microbiol. 2002;40:4304–4307. doi: 10.1128/JCM.40.11.4304-4307.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kraus G, Cleary T, Miller N, Seivright R, Young AK, Spruill G, Hnatyszyn HJ. Rapid and specific detection of the mycobacterium tuberculosis complex using fluorogenic probes and real time PCR. Mol Cell Probes. 2001;15:375–383. doi: 10.1006/mcpr.2001.0385. [DOI] [PubMed] [Google Scholar]
  • 33.Lachnik J, Ackermann B, Bohrssen A, Maass S, Diephaus C, Puncken A, Stermann M, Bange FC. Rapid-cycle PCR and fluorimetry for detection of mycobacteria. J Clin Microbiol. 2002;40:3364–3373. doi: 10.1128/JCM.40.9.3364-3373.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Coppenraet ESBV, Lindeboom JA, Prins JM, Peeters MF, Claas ECJ, Kuijper EJ. Real-time PCR assay using fine-needle aspirates and tissue biopsy specimens for rapid diagnosis of Mycobacterial lymphadenitis in children. J Clin Microbiol. 2004;42:2644–2650. doi: 10.1128/JCM.42.6.2644-2650.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Sedlacek L, Rifai M, Feldmann K, Bange FC. LightCyclerbased differentiation of Mycobacterium abscessus and Myco-bacterium chelonae. J Clin Microbiol. 2004;42:3284–3287. doi: 10.1128/JCM.42.7.3284-3287.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Stermann M, Bohrssen A, Diephaus C, Maass S, Bange FC. Polymorphic nucleotide within the promoter of nitrate reductase (NarGHJI) is specific for Mycobacterium tuberculosis. J Clin Microbiol. 2003;41:3252–3259. doi: 10.1128/JCM.41.7.3252-3259.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Broccolo F, Scarpellini P, Locatelli G, Zingale A, Brambilla AM, Cichero P, Sechi A, Lazzarin A, Lusso P, Malnati MS. Rapid diagnosis of mycobacterial infections and quantitation of Mycobacterium tuberculosis load by two real-time calibrated PCR assays. J Clin Microbiol. 2003;41:4565–4572. doi: 10.1128/JCM.41.10.4565-4572.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Desjardin LE, Chen Y, Perkins MD, Teixeira L, Cave MD, Eisenach KD. Comparison of the ABI 7700 system (TaqMan) and competitive PCR for quantification of IS6110 DNA in sputum during treatment of tuberculosis. J Clin Microbiol. 1998;36:1964–1968. doi: 10.1128/jcm.36.7.1964-1968.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Rhee JT, Piatek AS, Small PM, Harris LM, Chaparro SV, Kramer FR, Alland D. Molecular epidemiologic evaluation of transmissibility and virulence of Mycobacterium tuberculosis. (1999) J Clin Microbiol. 1999;37:1764–1770. doi: 10.1128/jcm.37.6.1764-1770.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Rondini S, Mensah-Quainoo E, Troll H, Bodmer T, Pluschke G. Development and application of real-time PCR assay for quantification of Mycobacterium ulcerans DNA. J Clin Microbiol. 2003;41:4231–4237. doi: 10.1128/JCM.41.9.4231-4237.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Viedma DGD, del Sol Diaz Infantes M, Lasala F, Chaves F, Alcala L, Bouza E. New real-time PCR able to detect in a single tube multiple rifampin resistance mutations and high-level isoniazid resistance mutations in Mycobacterium tuberculosis. J Clin Microbiol. 2002;40:988–995. doi: 10.1128/JCM.40.3.988-995.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Marı’n M, de Viedma DG, Ruı’z-Serrano MJ, Bouza E. Rapid direct detection of multiple rifampin and isoniazid resistance mutations in Mycobacterium tuberculosis in respiratory samples by real-time PCR. Antimicrob Agents Chemother. 2004;48:4293–4300. doi: 10.1128/AAC.48.11.4293-4300.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Torres MJ, Criado A, Palomares JC, Aznar J. Use of real-time PCR and fluorimetry for rapid detection of rifampin and isoniazid resistance-associated mutations in Mycobacterium tuberculosis. J Clin Microbiol. 2000;38:3194–3199. doi: 10.1128/jcm.38.9.3194-3199.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Piatek AS, Telenti A, Murray MR, El-Hajj H, Jacobs WR, Kramer FR, Alland D. Genotypic analysis of Mycobacterium tuberculosis in two distinct populations using molecular beacons: implications for rapid susceptibility testing. Antimicrob Agents Chemother. 2000;44:103–110. doi: 10.1128/aac.44.1.103-110.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Wada T, Maeda S, Tamaru A, Imai S, Hase A, Kobayashi K. Dual-probe assay for rapid detection of drug-resistant Mycobacterium tuberculosis by real-time PCR. J Clin Microbiol. 2004;42:5277–5285. doi: 10.1128/JCM.42.11.5277-5285.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Bell CA, Uhl JR, Hadfield TL, David JC, Meyer RF, Smith TF, Cockerill FR. Detection of Bacillus anthracis DNA by LightCycler PCR. J Clin Microbiol. 2002;40:2897–2902. doi: 10.1128/JCM.40.8.2897-2902.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Moser MJ, Christensen DR, Norwood D, Prudent JR. Multiplexed detection of anthrax-related toxin genes. J Mol Diagn. 2006;8:89–96. doi: 10.2353/jmoldx.2006.050049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Pham AS, Tarrand JJ, May GS, Lee MS, Kontoyiannis DP, Han XY. Diagnosis of invasive mold infection by real-time quantitative PCR. Am J Clin Pathol. 2003;119:38–44. doi: 10.1309/RQ05-PP9N-EG6D-ADXR. [DOI] [PubMed] [Google Scholar]
  • 49.Sanguinetti M, Posteraro B, Pagano L, Pagliari G, Fianchi L, Mele L, La Sorda M, Franco A, Fadda G. Comparison of real-time PCR, conventional PCR, and galactomannan antigen detection by enzymelinked immunosorbent assay using bronchoal-veolar lavage fluid samples from hematology patients for diagnosis of invasive pulmonary aspergillosis. J Clin Microbiol. 2003;41:3922–3925. doi: 10.1128/JCM.41.8.3922-3925.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Bowman JC, Abruzzo GK, Anderson JW, Flattery AM, Gill CJ, Pikounis VB, Schmatz DM, Liberator PA, Douglas CM. Quantitative PCR assay to measure Aspergillus fumigatus burden in a murine model of disseminated aspergillosis: demonstration of efficacy of caspofungin acetate. Antimicrob Agents Chemother. 2001;45:3474–3481. doi: 10.1128/AAC.45.12.3474-3481.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Costa C, Vidaud D, Olivi M, Bart-Delabesse E, Vidaud M, Bretagne S. Development of two real-time quantitative TaqMan PCR assays to detect circulating Aspergillus fumigatus DNA in serum. J Microbiol Methods. 44:263–269. doi: 10.1016/s0167-7012(01)00212-3. 2001a. [DOI] [PubMed] [Google Scholar]
  • 52.Maaroufi Y, De Bruyne JM, Duchateau V, Georgala A, Crokaert F. Early detection and identification of commonly encountered Candida species from simulated blood cultures by using a real-time PCR based assay. J Mol Diagn. 2004;6:108–114. doi: 10.1016/S1525-1578(10)60498-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.White PL, Williams DW, Kuriyama T, Samad SA, Lewis MA, Barnes RA. Detection of Candida in concentrated oral rinse cultures by real-time PCR. J Clin Microbiol. 2004;42:2101–2107. doi: 10.1128/JCM.42.5.2101-2107.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Costa JM, Ernault P, Gautier E, Bretagne S. Prenatal diagnosis of congenital toxoplasmosis by duplex real-time PCR using fluorescence resonance energy transfer hybridization probes. Prenatal Diagnosis. 21:85–88. doi: 10.1002/1097-0223(200102)21:2<85::aid-pd18>3.0.co;2-1. 2000b. [DOI] [PubMed] [Google Scholar]
  • 55.Palladino S, Kay I, Fonte R, Flexman J. Use of real-time PCR and the LightCycler system for the rapid detection of Pneumocystis carinii in respiratory specimens. Diagn Microbiol Infect Dis. 2001;39:233–236. doi: 10.1016/s0732-8893(01)00232-2. [DOI] [PubMed] [Google Scholar]
  • 56.Bialek R, Kern J, Herrmann T, Tijerina R, Cecenas L, Reischl U, Gonzalez GM. PCR assays for identification of Coc-cidioides posadasii based on the nucleotide sequence of the antigen 2/proline-rich antigen. J Clin Microbiol. 2004;42:778–783. doi: 10.1128/JCM.42.2.778-783.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Imhof A, Schaer C, Schoedon G, Schaer DJ, Walter RB, Schaffner A, Schneemann M. Rapid detection of pathogenic fungi from clinical specimens using LightCycler real-time fluorescence PCR. Eur J Clin Microbiol Infect Dis. 2003;22:558–560. doi: 10.1007/s10096-003-0989-0. [DOI] [PubMed] [Google Scholar]
  • 58.Hsu MC, Chen KW, Lo HJ, Chen YC, Liao MH, Lin YH, Li SY. Species identification of medically important fungi by use of real-time LightCycler PCR. J Med Microbiol. 2003;52:1071–1076. doi: 10.1099/jmm.0.05302-0. [DOI] [PubMed] [Google Scholar]
  • 59.Martagon-Villamil J, Shrestha N, Sholtis M, Isada CM, Hall GS, Bryne T, Lodge BA, Reller LB, Procop GW. Identification of Histoplasma capsulatum from culture extracts by real-time PCR. J Clin Microbiol. 2003;41:1295–1298. doi: 10.1128/JCM.41.3.1295-1298.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Marques ER, Ferreira ME, Drummond RD, Felix JM, Menossi M, Savoldi M, Travassos LR, Puccia R, Batista WL, Carvalho KC, Goldman MH, Goldman GH. Identification of genes preferentially expressed in the pathogenic yeast phase of Paracoccidioides brasiliensis, using suppression subtraction hybridization and differential macroarray analysis. Mol Genet Genomics. 2004;271:667–677. doi: 10.1007/s00438-004-1016-6. [DOI] [PubMed] [Google Scholar]
  • 61.Meliani L, Develoux M, Marteau-Miltgen M, Magne D, Barbu V, Poirot VL, Roux P. Real time quantitative PCR assay for Pneumocystis jirovecii detection. J Eukaryot Microbiol. 2003;50:651. doi: 10.1111/j.1550-7408.2003.tb00670.x. [DOI] [PubMed] [Google Scholar]
  • 62.Year H, Tzen MZ, Dupouy-Camet J. Molecular biology for detection and characterization of protozoan infections in humans. Eur J Prostistol. 2003;39:435–443. [Google Scholar]
  • 63.Blessmann J, Buss H, Nu PA, Dinh BT, Ngo QT, Van AL, Alla MD, Jackson TF, Ravdin JI, Tannich E. Real-time PCR for detection and differentiation of Entamoeba histolytica and Entamoeba dispar in fecal samples. J Clin Microbiol. 2002;40:4413–4417. doi: 10.1128/JCM.40.12.4413-4417.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Freitas JM, Lages-Silva E, Crema E, Pena SD, Macedo AM. Real time PCR strategy for the identification of major lineages of Trypanosoma cruzi directly in chronically infected human tissues. Int J Parasitol. 2005;35:411–417. doi: 10.1016/j.ijpara.2004.10.023. [DOI] [PubMed] [Google Scholar]
  • 65.Rolao N, Cortes S, Rodrigues OR, Campino L. Quantification of Leishmania infantum parasites in tissue biopsies by real-time polymerase chain reaction and polymerase chain reaction-enzyme-linked immunosorbent assay. J Parasitol. 2004;90:1150–1154. doi: 10.1645/GE-264R1. [DOI] [PubMed] [Google Scholar]
  • 66.Guy RA, Xiao C, Horgen PA. Real-time PCR assay for detection and genotype differentiation of Giardia lamblia in stool specimens. J Clin Microbiol. 2004;42:3317–3320. doi: 10.1128/JCM.42.7.3317-3320.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Varma M, Hester JD, Schaefer FW, Ware MW, Lindquist HD. Detection of Cyclospora cayetanensis using a quantitative real-time PCR assay. J Microbiol Methods. 2003;53:27–36. doi: 10.1016/s0167-7012(02)00209-9. [DOI] [PubMed] [Google Scholar]
  • 68.Chabbert E, Lachaud L, Crobu L, Bastien P. Comparison of two widely used PCR primer systems for detection of Toxoplasma in amniotic fluid, blood, and tissues. J Clin Microbiol. 2004;42:1719–1722. doi: 10.1128/JCM.42.4.1719-1722.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Menotti J, Cassinat B, Porcher R, Sarfati C, Derouin F, Molina JM. Development of a real-time polymerase-chainreaction assay for quantitative detection of Enterocytozoon bieneusi DNA in stool specimens from immunocompromised patients with intestinal microsporidiosis. J Infect Dis. 2003;187:1469–1474. doi: 10.1086/374620. [DOI] [PubMed] [Google Scholar]
  • 70.Boothroyd JC, Blader I, Cleary M, Singh U. DNA micro-arrays in parasitology: strengths and limitations. Trends Parasitol. 2003;19:470–476. doi: 10.1016/j.pt.2003.08.002. [DOI] [PubMed] [Google Scholar]
  • 71.Leutenegger CM, Klein D, Hofmann-Lehmann R, Mislin C, Hummel U, Böni J, Boretti F, Guenzburg WH, Lutz H. Rapid feline immunodeficiency virus provirus quantitation by polymerase chain reaction using the TaqMan fluorogenic realtime detection system. J Virol Methods. 1999;78:105–116. doi: 10.1016/s0166-0934(98)00166-9. [DOI] [PubMed] [Google Scholar]
  • 72.Cline AN, Bess JW, Piatak M, Lifson JD. Highly sensitive SIV plasma viral load assay: practical considerations, realistic performance expectations, and application to reverse engineering of vaccines for AIDS. J Med Primatol. 2005;34:303–312. doi: 10.1111/j.1600-0684.2005.00128.x. [DOI] [PubMed] [Google Scholar]
  • 73.Blake DJ, Graham J, Poss M. Quantification of feline immunodeficiency virus (FIVpco) in peripheral blood mononuclear cells, lymph nodes and plasma of naturally infected cougars. J Gen Virol. 2006;87:967–75. doi: 10.1099/vir.0.81450-0. [DOI] [PubMed] [Google Scholar]
  • 74.Leutenegger CM, Boretti FS, Mislin CN, Flynn JN, Schroff M, Habel A, Junghans C, Koenig-Merediz SA, Sigrist B, Aubert A, Pedersen NC, Wittig B, Lutz H. Immunization of cats against feline immunodeficiency virus (FIV) infection by using minimalistic immunogenic defined gene expression vector vaccines expressing FIV gp140 alone or with feline interleukin-12 (IL-12), IL-16, or a CpG motif. J Virol. 2000;74:10447–10457. doi: 10.1128/jvi.74.22.10447-10457.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Gut M, Leutenegger CM, Huder JB, Pedersen NC, Lutz H. One-tube fluorogenic reverse transcription-polymerase chain reaction for the quantitation of feline coronaviruses. J Virol Methods. 1999;77:37–46. doi: 10.1016/S0166-0934(98)00129-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Leutenegger CM, Pusterla N, Wicki R, Lutz H. New molecular biology detection methods for tick-borne infectious agents. Schweiz Arch Tierheilkd. 2002;144:395–404. doi: 10.1024/0036-7281.144.8.395. [DOI] [PubMed] [Google Scholar]
  • 77.Lischer CJ, Leutenegger CM, Braun U, Lutz H. Diagnosis of Lyme disease in two cows by the detection of Borrelia burgdor-feri DNA. Vet Rec. 2000;146:497–499. doi: 10.1136/vr.146.17.497. [DOI] [PubMed] [Google Scholar]
  • 78.Peixoto CC, Marcelino I, Vachiery N, Bensaid A, Martinez D, Carrondo MJ, Alves PM. Quantification of Ehrlichia ruminantium by real time PCR. Vet Microbiol. 2005;107:273–278. doi: 10.1016/j.vetmic.2005.02.001. [DOI] [PubMed] [Google Scholar]
  • 79.Yang DK, Kweon CH, Kim BH, Lim SI, Kim SH, Kwon JH, Han HR. TaqMan reverse transcription polymerase chain reaction for the detection of Japanese encephalitis virus. J Vet Sci. 2004;5:345–351. [PubMed] [Google Scholar]
  • 80.van Marle G, Antony JM, Silva C, Sullivan A, Power C. Aberrant cortical neurogenesis in a pediatric neuro AIDS model: neurotrophic effects of growth hormone. AIDS. 2005;19:1781–1791. doi: 10.1097/01.aids.0000189854.06194.87. [DOI] [PubMed] [Google Scholar]
  • 81.Ryser-Degiorgis MP, Hofmann-Lehmann R, Leutenegger CM, Segerstad CH, Morner T, Mattsson R, Lutz H. Epizootiologic investigations of selected infectious disease agents in free-ranging Eurasian lynx from Sweden. J Wildl Dis. 2005;41:58–66. doi: 10.7589/0090-3558-41.1.58. [DOI] [PubMed] [Google Scholar]
  • 82.Sondgeroth K, Leutenegger C, Vandewoude S. Development and validation of puma (Felis concolor) cytokine and lentivirus real-time PCR detection systems. Vet Immunol Immunopathol. 2005;104:205–213. doi: 10.1016/j.vetimm.2004.11.009. [DOI] [PubMed] [Google Scholar]
  • 83.Wilhelm S, Truyen U. Real-time reverse transcription polymerase chain reaction assay to detect a broad range of feline calicivirus isolates. J Virol Methods. 2006;133:105–108. doi: 10.1016/j.jviromet.2005.10.011. [DOI] [PubMed] [Google Scholar]
  • 84.Barber SA, Gama L, Dudaronek JM, Voelker T, Tarwater PM, Clements JE. Mechanism for the establishment of transcriptional HIV latency in the brain in a simian immunodeficiency virus-macaque model. J Infect Dis. 2006;193:963–970. doi: 10.1086/500983. [DOI] [PubMed] [Google Scholar]
  • 85.Poonia B, Nelson S, Bagby GJ, Zhang P, Quniton L, Veazey RS. Chronic alcohol consumption results in higher simian immunodeficiency virus replication in mucosally inoculated rhesus macaques. AIDS Res Hum Retroviruses. 2005;21:863–868. doi: 10.1089/aid.2005.21.863. [DOI] [PubMed] [Google Scholar]
  • 86.Bosinger SE, Hosiawa KA, Cameron MJ, Persad D, Ran L, Xu L, Boulassel MR, Parenteau M, Fournier J, Rud EW, Kelvin DJ. Gene expression profiling of host response in models of acute HIV infection. J Immunol. 2004;173:6858–6863. doi: 10.4049/jimmunol.173.11.6858. [DOI] [PubMed] [Google Scholar]
  • 87.Zhang Z, Wilson F, Read R, Pace L, Zhang S. Detection and characterization of naturally acquired West Nile virus infection in a female wild turkey. J Vet Diagn Invest. 2006;18:204–208. doi: 10.1177/104063870601800212. [DOI] [PubMed] [Google Scholar]
  • 88.Braverman Y, Chizov-Ginzburg A, Saran A, Winkler M. The role of houseflies (Musca domestica) in harbouring Coryne-bacterium pseudotuberculosis in dairy herds in Israel. Rev Sci Tech. 1999;18:681–690. doi: 10.20506/rst.18.3.1187. [DOI] [PubMed] [Google Scholar]
  • 89.Spier SJ, Leutenegger CM, Carroll SP, Loye JE, Pusterla JB, Carpenter TE, Mihalyi JE, Madigan JE. Use of a real-time polymerase chain reaction-based fluorogenic 5’ nuclease assay to evaluate insect vectors of Corynebacterium pseudotuberculosis infections in horses. Am J Veter Res. 2004;65:829–834. doi: 10.2460/ajvr.2004.65.829. [DOI] [PubMed] [Google Scholar]
  • 90.Willi B, Boretti FS, Baumgartner C, Tasker S, Wenger B, Cattori V, Meli ML, Reusch CE, Lutz H, Hofmann-Lehmann R. Prevalence, Risk Factor Analysis, and Follow-Up of Infections Caused by Three Feline Hemoplasma Species in Cats in Switzerland. J Clin Microbiol. 2006;44:961–969. doi: 10.1128/JCM.44.3.961-969.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Tasker S, Braddock JA, Baral R, Helps CR, Day MJ, Gruffydd-Jones TJ, Malik R. Diagnosis of feline haemoplasma infection in Australian cats using a real-time PCR assay. J Feline Med Surg. 2004;6:345–354. doi: 10.1016/j.jfms.2003.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Tasker S, Caney SMA, Day MJ, Dean RS, Helps CR, Knowles TG, Lait PJP, Pinches MDG, Gruffydd-Jones TJ. Effect of chronic feline immunodeficiency infection, and efficacy of marbofloxacin treatment, on ‘Candidatus Mycoplasma haemominutum’ infection. Microbes Infect. 2006;8:653–661. doi: 10.1016/j.micinf.2005.08.015. [DOI] [PubMed] [Google Scholar]
  • 93.Pitt JI. Toxigenic fungi and mycotoxins. Br Med Bull. 2000;56:184–192. doi: 10.1258/0007142001902888. [DOI] [PubMed] [Google Scholar]
  • 94.Malorny B, Paccassoni E, Fach P, Bunge C, Martin A, Helmuth R. Diagnostic Real-Time PCR for Detection of Salmo-nella in Food. Appl Environment Microbiol. 2004;70:7046–7052. doi: 10.1128/AEM.70.12.7046-7052.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Malorny B, Tassios PT, Rådström P, Cook N, Wagner M, Hoorfar J. Standardization of diagnostic PCR for the detection of foodborne pathogens. Int J Food Microbiol. 2003;83:39–48. doi: 10.1016/s0168-1605(02)00322-7. [DOI] [PubMed] [Google Scholar]
  • 96.Schnerr H, Niessen L, Vogel RF. Real time detection of the tri5 gene in Fusarium species by lightcycler-PCR using SYBR Green I for continuous fluorescence monitoring. Int J Food Microbiol. 2001;71:53–61. doi: 10.1016/s0168-1605(01)00579-7. [DOI] [PubMed] [Google Scholar]
  • 97.Brandfass C, Karlovsky P. Simultaneous detection of Fusarium culmorum and F. graminearum in plant material by duplex PCR with melting curve analysis. BMC Microbiol. 2006;6:4. doi: 10.1186/1471-2180-6-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Daum LT, Barnes WJ, McAvin JC, Neidert MS, Cooper LA, Huff WB, Gaul L, Riggins WS, Morris S, Salmen A, Lohman KL. Real-time PCR detection of Salmonella in suspect foods from a gastroenteritis outbreak in Kerr county, Texas. J Clin Microbiol. 2002;40:3050–3052. doi: 10.1128/JCM.40.8.3050-3052.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Fukushima H, Tsunomori Y, Seki R. Duplex Real-Time SYBR Green PCR Assays for Detection of 17 Species of Food- or Waterborne Pathogens in Stools. J Clin Microbiol. 2003;41:5134–5146. doi: 10.1128/JCM.41.11.5134-5146.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Fukushima H, Tsunomori Y. Study of real-time PCR assays for rapid detection of food-borne pathogens. Kansenshogaku Zasshi. 2005;79:644–655. doi: 10.11150/kansenshogakuzasshi1970.79.644. in Japanese. [DOI] [PubMed] [Google Scholar]
  • 101.Akbulut D, Grant KA, McLauchlin J. Development and application of real-time PCR assays to detect fragments of the Clostridium botulinum types A, B, and E neurotoxin genes for investigation of human foodborne and infant botulism. Foodborne Pathog Dis. 2004;1:247–257. doi: 10.1089/fpd.2004.1.247. [DOI] [PubMed] [Google Scholar]
  • 102.Rodriguez-Lazaro D, Hernandez M, Scortti M, Esteve T, Vazquez-Boland JA, Pla M. Quantitative detection of Listeria monocytogenes and Listeria innocua by real-time PCR: assessment of hly, iap, and lin02483 targets and AmpliFluor technology. Appl Environ Microbiol. 2004;70:1366–1377. doi: 10.1128/AEM.70.3.1366-1377.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Lee WM. Hepatitis B virus infection. N Engl J Med. 1997;337:1733–1745. doi: 10.1056/NEJM199712113372406. [DOI] [PubMed] [Google Scholar]
  • 104.Pang XL, Lee B, Boroumand N, Leblanc B, Preiksaitis JK, YuIp CC. Increased detection of rotavirus using a real time reverse transcription-polymerase chain reaction (RT-PCR) assay in stool specimens from children with diarrhea. J Med Virol. 2004;72:496–501. doi: 10.1002/jmv.20009. [DOI] [PubMed] [Google Scholar]
  • 105.Chen R, Huang W, Lin Z, Zhou Z, Yu H, Zhu D. Development of a novel real-time RT-PCR assay with LUX primer for the detection of swine transmissible gastroenteritis virus. J Virol Methods. 2004;122:57–61. doi: 10.1016/j.jviromet.2004.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Timken MD, Swango KL, Orrego C, Buoncristiani MR. A duplex real-time qPCR assay for the quantification of human nuclear and mitochondrial DNA in forensic samples: implications for quantifying DNA in degraded samples. J Forensic Sci. 2005;50:1044–1060. [PubMed] [Google Scholar]
  • 107.Nicklas JA, Buel E. Development of an Alu-based, real-time PCR method for quantitation of human DNA in forensic samples. J Forensic Sci. 48:936–944. 2003a. [PubMed] [Google Scholar]
  • 108.Nicklas JA, Buel E. Development of an Alu-based, QSY 7-labeled primer PCR method for quantitation of human DNA in forensic samples. J Forensic Sci. 48:282–291. 2003b. [PubMed] [Google Scholar]
  • 109.Nicklas JA, Buel E. An Alu-based, MGB Eclipse real-time PCR method for quantitation of human DNA in forensic samples. J Forensic Sci. 2005;50:1081–1090. [PubMed] [Google Scholar]
  • 110.Horsman KM, Hickey JA, Cotton RW, Landers JP, Maddox LO. Development of a human-specific real-time PCR assay for the simultaneous quantitation of total genomic and male DNA. J Forensic Sci. 2006;51:758–765. doi: 10.1111/j.1556-4029.2006.00183.x. [DOI] [PubMed] [Google Scholar]
  • 111.Green RL, Roinstad IC, Boland C, Hennessy LK. Developmental validation of the qualifier real-time PCR kits for the quantification of human nuclear DNA samples. J Forensic Sci. 2005;50 10.1520/JFS2004478. [PubMed] [Google Scholar]
  • 112.Kontanis EJ, Reed FA. Evaluation of real-time PCR amplification efficiencies to detect PCR inhibitors. J Forensic Sci. 2006;51:795–804. doi: 10.1111/j.1556-4029.2006.00182.x. [DOI] [PubMed] [Google Scholar]
  • 113.Katie L, Swango MD, Timken MDC, Buoncristiani MR. A quantitative PCR assay for the assessment of DNA degradation in forensic samples. Forensic Sci Int. 2006;158:14–26. doi: 10.1016/j.forsciint.2005.04.034. [DOI] [PubMed] [Google Scholar]
  • 114.Morawski B, Quan S, Arnold FH. Functional expression and stabilization of horseradish peroxidase by directed evolution in Saccharomyces cerevisiae. Biotechnol Bioeng. 2001;76:99–107. doi: 10.1002/bit.1149. [DOI] [PubMed] [Google Scholar]
  • 115.Strycharz S, Shetty K. Peroxidase activity and phenolic content in elite clonal lines of Mentha pulegium in response to polymeric dye R-478 and Agrobacterium rhizogenes. Process Biochemistry. 2002;37:805–812. [Google Scholar]
  • 116.Iimura Y, Ikeda S, Sonoki T, Hayakawa T, Kajita S, Kimbara K, Tatsumi K, Katayama Y. Expression of a gene for Mn-peroxidase from Coriolus versicolor in transgenic tobacco generates potential tools for phytoremediation. Appl Microbiol Biotechnol. 2002;59:246–251. doi: 10.1007/s00253-002-1008-6. [DOI] [PubMed] [Google Scholar]
  • 117.Shimada T, Wunsch RM, Hanna IH, Sutter TR, Guengerich FP, Gillam EM. Recombinant human cytochrome P450 1B1 expression in Escherichia coli. Arch Biochem Biophys. 1998;357:111–120. doi: 10.1006/abbi.1998.0808. [DOI] [PubMed] [Google Scholar]
  • 118.Sakaki T, Inouye K. Practical application of mammalian cytochrome P450. J Biosci Bioeng. 2000;90:583–590. doi: 10.1263/jbb.90.583. [DOI] [PubMed] [Google Scholar]
  • 119.Rieger PG, Meier HM, Gerle M, Vogt U, Groth T, Knackmuss HJ. Xenobiotics in the environment: present and future strategies to obviate the problem of biological persistence. J Biotechnol. 2002;94:101–123. doi: 10.1016/s0168-1656(01)00422-9. [DOI] [PubMed] [Google Scholar]
  • 120.Scheible WR, Morcuende R, Czechowski T, Fritz C, Osuna D, Palacios-Rojas N, Schindelasch D, Thimm O, Udvardi MK, Stitt M. Genome-wide reprogramming of primary and secondary metabolism, protein synthesis, cellular growth processes, and the regulatory infrastructure of Arabidopsis in response to nitrogen. Plant Physiol. 2004;136:2483–2499. doi: 10.1104/pp.104.047019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Czechowski T, Bari RP, Stitt M, Scheible WR, Udvardi MK. Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root-and shoot-specific genes. The Plant J. 2004;38:366–379. doi: 10.1111/j.1365-313X.2004.02051.x. [DOI] [PubMed] [Google Scholar]
  • 122.McMaugh SJ, Lyon BR. Real-time quantitative RT-PCR assay of gene expression in plant roots during fungal pathogenesis. Biotechniques. 2003;34:982–986. doi: 10.2144/03345st04. [DOI] [PubMed] [Google Scholar]
  • 123.Baek KH, Skinner DZ. Quantitative real-time PCR method to detect changes in specific transcript and total RNA amounts. Electronic J Biotechnol. 2004 ISSN: 0717-3458. [Google Scholar]
  • 124.Denekamp M, Smeekens SC. Integration of wounding and osmotic stress signals determines the expression of the AtMYB102 transcription factor gene. Plant Physiol. 2003;132:1415–1423. doi: 10.1104/pp.102.019273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.McGrath KC, Dombrecht B, Manners JM, Schenk PM, Edgar CI, Maclean DJ, Scheible WS, Udvardi MK, Kazan K. Repressor and activator-type ethylene response factors functioning in jasmonate signaling and disease resistance identified via a genome-wide screen of Arabidopsis transcription factor gene expression. Plant Physiol. 2005;139:949–959. doi: 10.1104/pp.105.068544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Cagnac O, Bourbouloux A, Chakrabarty D, Zhang MY, Delrot S. AtOPT6 transports glutathione derivatives and is induced by primisulfuron. Plant Physiol. 2004;135:1378–1387. doi: 10.1104/pp.104.039859. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Eriksson EM, Bovy A, Manning K, Harrison L, Andrews J, De Silva J, Tucker GA, Seymour GB. Effect of the colorless non-ripening mutation on cell wall biochemistry and gene expression during tomato fruit development and ripening. Plant Physiol. 2004;136:4184–4197. doi: 10.1104/pp.104.045765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Nicot N, Hausman JF, Hoffmann L, Evers D. Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress. J Exp Bot. 2005;56:2907–2914. doi: 10.1093/jxb/eri285. [DOI] [PubMed] [Google Scholar]
  • 129.Schenk PM, Kazan K, Manners JM, Anderson JP, Simpson RS, Wilson IW, Sommerville SC, Maclean DJ. Systemic gene expression in Arabidopsis during an incompatible interaction with Alternaria brassicicola. Plant Physiol. 2003;132:999–1010. doi: 10.1104/pp.103.021683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Puthoff DP, Nettleton D, Rodermel SR, Baum TJ. Arabi-dopsis gene expression changes during cyst nematode parasitism revealed by statistical analyses of microarray expression profiles. The Plant J. 2003;33:911–921. doi: 10.1046/j.1365-313x.2003.01677.x. [DOI] [PubMed] [Google Scholar]
  • 131.Crosslin JM, Vandemark GJ, Munyaneza JE. Development of a real-time, quantitative PCR for detection of the Columbia basin potato purple top phytoplasma in plants and beet leafhoppers. Plant Dis. 2006;90:663–667. doi: 10.1094/PD-90-0663. [DOI] [PubMed] [Google Scholar]
  • 132.Brouwer M, Lievens B, Van Hemelrijck W, Van den Ackerveken G, Cammue BP, Thomma BP. Quantification of disease progression of several microbial pathogens on Arabidopsis thaliana using real-time fluorescence PCR. FEMS Microbiol Lett. 2003;228:241–248. doi: 10.1016/S0378-1097(03)00759-6. [DOI] [PubMed] [Google Scholar]
  • 133.Schaad NW, Frederick RD, Shaw J, Schneider WL, Hickson R, Petrillo MD, Luster DG. Advances in molecular-based diagnostics in meeting crop biosecurity and phytosanitary issues. Ann Rev Phytopathol. 41:305–324. doi: 10.1146/annurev.phyto.41.052002.095435. 2003a. [DOI] [PubMed] [Google Scholar]
  • 134.Böhm J, Hahn A, Schubert R, Bahnweg G, Adler N, Nechwatal J, Oehlmann R, Osswald W. Real-time quantitative PCR: DNA determination in isolated spores of the mycorrhizal fungus Glomus mosseae and monitoring of Phytophthora infestans and Phytophthora citricola in their respective host plants. J Phytopathol. 1999;147:409–416. [Google Scholar]
  • 135.Bates JA, Taylor EJA, Kenyon DM, Thomas JE. The application of real-time PCR to the identification, detection and quantification of Pyrenophora species in barley seed. Mol Plant Pathol. 2001;2:49–57. doi: 10.1046/j.1364-3703.2001.00049.x. [DOI] [PubMed] [Google Scholar]
  • 136.Bodles WJ, Fossdal CG, Woodward S. Multiplex real-time PCR detection of pathogen colonization in the bark and wood of Picea sitchensis clones differing in resistance to Heterobasidion annosum. Tree Physiol. 2006;26:775–82. doi: 10.1093/treephys/26.6.775. [DOI] [PubMed] [Google Scholar]
  • 137.Berg T, Tesoriero L, Hailstones DL. A multiplex real-time PCR assay for detection of Xanthomonas campestris from brassicas. Lett Appl Microbiol. 2006;42:624–630. doi: 10.1111/j.1472-765X.2006.01887.x. [DOI] [PubMed] [Google Scholar]
  • 138.Schaad NW, Frederick RD. Real-time PCR and its application for rapid plant disease diagnostics. Can J Plant Pathol. 2002;24:250–258. [Google Scholar]
  • 139.Montrichard F, Renard M, Alkhalfioui F, Duval FD, Macherel D. Identification and differential expression of two thioredoxin h isoforms in germinating seeds from pea. Plant Physiol. 2003;132:1707–1715. doi: 10.1104/pp.102.019562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Arabidopsis Genome Initiative. Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000;408:796–815. doi: 10.1038/35048692. [DOI] [PubMed] [Google Scholar]
  • 141.Kempin SA, Savidge B, Yanofsky MF. Molecular basis of the cauliflower phenotype in Arabidopsis. Nature. 1995;267:522–525. doi: 10.1126/science.7824951. [DOI] [PubMed] [Google Scholar]
  • 142.Liljegren SJ, Ditta GS, Eshed Y, Savidge B, Bowman JL, Yanofsky MF. SHATTERPROOF MADS-box genes control seed dispersal in Arabidopsis. Nature. 2000;404:766–770. doi: 10.1038/35008089. [DOI] [PubMed] [Google Scholar]
  • 143.Yokoyama R, Nishitani KA. Comprehensive expression analysis of all members of a gene family encoding cell-wall enzymes allowed us to predict cis-regulatory regions involved in cell-wall construction in specific organs of Arabidopsis. Plant Cell Physiology. 2001;42:1025–1033. doi: 10.1093/pcp/pce154. [DOI] [PubMed] [Google Scholar]
  • 144.Charrier B, Champion A, Henry Y, Kreis M. Expression profiling of the whole Arabidopsis shaggy-like kinase multigene family by real-time reverse transcriptase-polymerase chain reaction. Plant Physiol. 2002;130:577–590. doi: 10.1104/pp.009175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Ingham DJ, Beer S, Money S, Hansen G. Quantitative real-time PCR assay for determining transgene copy number in transformed plants. Biotechniques. 2001;31:136–140. doi: 10.2144/01311rr04. [DOI] [PubMed] [Google Scholar]
  • 146.Li Z, Hansen JL, Liu Y, Zemetra RS, Berger PH. Using real-time PCR to determine transgene copy number in wheat. Plant Mol Biol Repor. 2004;22:179–188. [Google Scholar]
  • 147.Weng H, Pan A, Yang L, Zhang C, Liu Z, Zhang D. Estimating number of transgene copies in transgenic rapeseed by real-time PCR assay with HMG I/Y as an endogenous reference gene. Plant Mol Biol Repor. 2004;22:289–300. [Google Scholar]
  • 148.Bouché N, Lauressergues D, Gasciolli V, Vaucheret H. An antagonistic function for Arabidopsis DCL2 in development and a new function for DCL4 in generating viral siRNAs. The EMBO J. 2006;25:3347–3356. doi: 10.1038/sj.emboj.7601217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Allen E, Xie ZX, Gustafson AM, Carrington JC. microRNA-directed phasing during transacting siRNA biogenesis in plants. Cell. 2005;121:207–222. doi: 10.1016/j.cell.2005.04.004. [DOI] [PubMed] [Google Scholar]
  • 150.Rigoutsos I, Huynh T, Miranda K, Tsirigos A, McHardy A, Platt D. Short blocks from the noncoding parts of the human genome have instances within nearly all known genes and relate to biological processes. Proc Natl Acad Sci USA. 2006;103:6605–6610. doi: 10.1073/pnas.0601688103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Jensen KL, Styczynski MP, Rigoutsos I, Stephanopoulos GN. A generic motif discovery algorithm for sequential data. Bioinformatics. 2006;22:21–28. doi: 10.1093/bioinformatics/bti745. [DOI] [PubMed] [Google Scholar]
  • 152.Boyle B, Hamelin RC, Séguin A. In vivo monitoring of obligate biotrophic pathogen growth by kinetic PCR. Appl Environ Microbiol. 2005;71:1546–1552. doi: 10.1128/AEM.71.3.1546-1552.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.van den Boogert PHJF, van Gent-Pelzer MPE, Bonants PJM, De Boer SH, Wander JGN, Lévesque CA, van Leeuwen GCM, Baayen RP. Development of PCR-based detection methods for the quarantine phytopathogen Synchytrium endo-bioticum, causal agent of potato wart disease. Eur J Plant Pathol. 2005;113:47–57. [Google Scholar]
  • 154.Kuoppa Y, Boman J, Scott L, Kumlin U, Eriksson I, Allard A. Quantitative detection of respiratory Chlamydia pneumoniae infection by real-time PCR. J Clin Microbiol. 2002;40:2273–2274. doi: 10.1128/JCM.40.6.2273-2274.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Doyle CK, Labruna MB, Breitschwerdt EB, Tang YW, Corstvet RE, Hegarty BC, Bloch KC, Li P, Walker DH, McBride JW. Detection of medically important Ehrlichia by quantitative multicolor TaqMan real-time polymerase chain reaction of the dsb gene. J Mol Diagnost. 2005;7:504–510. doi: 10.1016/S1525-1578(10)60581-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Ulrich MP, Norwood DA, Christensen DR, Ulrich RL. Using real-time PCR to specifically detect Burkholderia mallei. J Med Microbiol. 2006;55:551–559. doi: 10.1099/jmm.0.46350-0. [DOI] [PubMed] [Google Scholar]
  • 157.Klee SR, Tyczka J, Ellerbrok H, Franz T, Linke S, Baljer G, Appel B. Highly sensitive real-time PCR for specific detection and quantification of Coxiella burnetii. BMC Microbiol. 2006;6:2. doi: 10.1186/1471-2180-6-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Tobiason DM, Seifert HS. The obligate human pathogen, Neisseria gonorrhoeae, is polyploid. PLoS Biol. 2006;4:e185. doi: 10.1371/journal.pbio.0040185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Groathouse NA, Brown SE, Knudson DL, Brennan PJ, Slayden RA. Isothermal amplification and molecular typing of the obligate intracellular pathogen Mycobacterium leprae isolated from tissues of unknown origins. J Clin Microbiol. 2006;44:1502–1508. doi: 10.1128/JCM.44.4.1502-1508.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Bohm J, Hahn A, Schubert R, Bahnweg G, Adler N, Nechwatal J, Oehlmann R, Osswald W. Real-time Quantitative PCR: DNA determination in isolated spores of the mycorrhizal fungus Glomus mosseae and monitoring of Phytophthora infestans and Phytophthora citricola in their respective host plants. J Phytopathol. 1999;147:409–416. [Google Scholar]
  • 161.Permingeat HR, Reggiardo MI, Vallejos RH. Detection and quantification of transgenes in grains by multiplex and real-time PCR. J Agric Food Chem. 2002;50:4431–4436. doi: 10.1021/jf020081d. [DOI] [PubMed] [Google Scholar]
  • 162.Hietala AM, Eikenes M, Kvaalen H, Solheim H, Fossdal CG. Multiplex real-time PCR for monitoring Heterobasidion annosum colonization in norway spruce clones that differ in disease resistance. Appl Environ Microbiol. 2003;69:4413–4420. doi: 10.1128/AEM.69.8.4413-4420.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Bluhm BH, Cousin MA, Woloshuk CP. Multiplex real-time PCR detection of fumonisin-producing and trichothecene-producing groups of Fusarium species. J Food Protec. 2004;67:536–543. doi: 10.4315/0362-028x-67.3.536. [DOI] [PubMed] [Google Scholar]
  • 164.Courtney JW, Kostelnik LM, Zeidner NS, Massung RF. Multiplex real-time PCR for detection of Anaplasma phagocytophilum and Borrelia burgdorferi. J Clin Microbiol. 2004;42:3164–3168. doi: 10.1128/JCM.42.7.3164-3168.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Grant MA, Hu J, Jinneman KC. Multiplex real-time PCR detection of heat-labile and heat-stable toxin genes in enterotoxigenic Escherichia coli. J Food Protec. 2006;69:412–416. doi: 10.4315/0362-028x-69.2.412. [DOI] [PubMed] [Google Scholar]
  • 166.Bodles WJA, Fossdal CG, Woodward S. Multiplex real-time PCR detection of pathogen colonization in the bark and wood of Picea sitchensis clones differing in resistance to Heterobasidion annosum. Tree Physiol. 2006;26:775–782. doi: 10.1093/treephys/26.6.775. [DOI] [PubMed] [Google Scholar]
  • 167.Hoehne M, Schreier E. Detection of Norovirus genogroup I and II by multiplex real-time RT-PCR using a 3’-minor groove binder-DNA probe. BMC Infect Dis. 2006;6:69. doi: 10.1186/1471-2334-6-69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Menskin LVD, Linders S, Schaap KGV, Witte D. Quantitation of minimal residual disease in Philadelphia chromosome positive chronic myeloid leukaemia patients using real-time quantitative RT-PCR. Br J Haematol. 1998;102:768–774. doi: 10.1046/j.1365-2141.1998.00823.x. [DOI] [PubMed] [Google Scholar]
  • 169.Morgan GT, Pratt G. Modern molecular diagnostics and the management of haematological malignancies. Clin Lab Haematol. 1998;20:135–141. doi: 10.1046/j.1365-2257.1998.00141.x. [DOI] [PubMed] [Google Scholar]
  • 170.Luthra R, McBride JA, Cabanillas F, Sarris A. Novel 5’ exonuclease-based real-time PCR assay for the detection of t(14;18)(q32;q21) in patients with follicular lymphoma. Am J Pathol. 1998;153:63–68. doi: 10.1016/S0002-9440(10)65546-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Rambaldi A, Carlotti E, Oldani E, Starza ID, Baccarani M, Cortelazzo S, Lauria F, Arcaini L, Morra E, Pulsoni A, Rigacci L, Rupolo M, Zaja F, Zinzani PL, Barbui T, Foa R. Quantitative PCR of bone marrow BCL2/IgH positive cells at diagnosis predicts treatment response and long-term outcome in Follicular non-Hodgkin’s Lymphoma. Blood. 2005;105:3428–3433. doi: 10.1182/blood-2004-06-2490. [DOI] [PubMed] [Google Scholar]
  • 172.Eckert C, Landt C, Taube T, Seeger K, Beyermann B, Proba J, Henze G. Potential of LightCycler technology for quantification of minimal residual disease in childhood acute lymphoblastic leukemia. Leukemia. 2000;14:316–323. doi: 10.1038/sj.leu.2401655. [DOI] [PubMed] [Google Scholar]
  • 173.Pennings JLA, Van de Locht LTF, Jansen JH, Van der Reijden BA, De Witte T, Mensink EJBM. Degradable dU-based DNA template as a standard in real-time PCR quantitation. Leukemia. 2001;15:1962–1965. doi: 10.1038/sj.leu.2402290. [DOI] [PubMed] [Google Scholar]
  • 174.Straub B, Muller M, Krause H, Schrader M, Goessl C, Heicappell R, Miller K. Detection of prostate-specific antigen RNA before and after radical retropubic prostatectomy and transurethral resection of the prostate using ‘Light-Cycler’-based quantitative real-time polymerase chain reaction. Urology. 2001;58:815–820. doi: 10.1016/s0090-4295(01)01351-6. [DOI] [PubMed] [Google Scholar]
  • 175.Aerts J, Wynendaele W, Paridaens R, Christiaens MR, van den Bogaert W, van Oosterom AT, Vandekerckhove F. A real-time quantitative reverse transcriptase polymerase chain reaction (RT-PCR) to detect breast carcinoma cells in peripheral blood. Ann Oncol. 2001;12:39–46. doi: 10.1023/a:1008317512253. [DOI] [PubMed] [Google Scholar]
  • 176.Boivin G, Cote S, Cloutier N, Abed Y, Maguigad M, Routy JP. Quantification of human herpesvirus 8 by real-time PCR in blood fractions of AIDS patients with Kaposi’s sarcoma and multicentric Castleman’s disease. J Med Virol. 2002;68:399–403. doi: 10.1002/jmv.10217. [DOI] [PubMed] [Google Scholar]
  • 177.Wabuyele MB, Farquar H, Stryjewski W, Hammer RP, Soper SA, Cheng YW, Barany F. Approaching real-time molecular diagnostics: single-pair fluorescence resonance energy transfer (spFRET) detection for the analysis of low abundant point mutations in K-ras oncogenes. J Am Chem Soc. 2003;125:6937–6945. doi: 10.1021/ja034716g. [DOI] [PubMed] [Google Scholar]
  • 178.Ohyashiki JH, Nagate A, Ojima T, Yamamoto KAH, Ohyashiki K. Quantification of human cytomegalovirus using bronchoalveolar lavage cells in pulmonary complications associated with hematologic neoplasia. Int J Mol Med. 2003;11:779–783. [PubMed] [Google Scholar]
  • 179.Cheung IY, Serena Lo Piccolo M, Kushner BH, Kramer K, Cheung NV. Quantitation of GD2 synthase mRNA by real-time reverse transcriptase polymerase chain reaction: clinical utility in evaluating adjuvant therapy in neuroblastoma. J Clin Oncol. 2003;21:1087–1093. doi: 10.1200/JCO.2003.02.055. [DOI] [PubMed] [Google Scholar]
  • 180.Zeschnigk M, Böhringer S, Price EA, Onadim Z, Maßhöfer L, Lohmann DR. A novel real-time PCR assay for quantitative analysis of methylated alleles (QAMA): analysis of the retino-blastoma locus. Nucleic Acids Res. 2004;32:e125. doi: 10.1093/nar/gnh122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Jiang Z, Wu CL, Woda BA, Iczkowski KA, Chu PG, Tretiakova MS, Young RH, Weiss LM, Blute RD, Brendler CB, Krausz T, Xu JC, Rock KL, Amin MB, Yang XJ. Alpha-methylacyl-CoA racemase: a multi-institutional study of a new prostate cancer marker. Histopathol. 2004;45:218. doi: 10.1111/j.1365-2559.2004.01930.x. [DOI] [PubMed] [Google Scholar]
  • 182.Pongers-Willemse MJ, Verhagen OJHM, Tibbe1 GJM, Wijkhuijs AJM, de Haas V, Roovers E, van der Schoot CE, van Dongen JJM. Real-time quantitative PCR for the detection of minimal residual disease in acute lymphoblastic leukemia using junctional region specific TaqMan probes. Leukemia. 1998;12:2006–2014. doi: 10.1038/sj.leu.2401246. [DOI] [PubMed] [Google Scholar]
  • 183.Preudhomme C, Révillion F, Merlat A, Hornez L, Roumier1 C, DuflosGrardel1 N, Jouet JP, Cosson A, Peyrat JP, Fenaux P. Detection of BCR-ABL transcripts in chronic myeloid leukemia (CML) using a ‘real time’ quantitative RT-PCR assay. (1999) Leukemia. 1999;13:957–964. doi: 10.1038/sj.leu.2401426. [DOI] [PubMed] [Google Scholar]
  • 184.Khalil SH. Molecular hematology: Qualitative to quantitative techniques. Saudi Med J. 2005;26:1516–1522. [PubMed] [Google Scholar]
  • 185.Schmiemann V, Böcking A, Kazimirek M, Onofre ASC, Gabbert HE, Kappes R, Gerharz CD, Grote HJ. Methylation assay for the diagnosis of lung cancer on bronchial aspirates: A cohort study. Clin Cancer Res. 2005;11:7728–7734. doi: 10.1158/1078-0432.CCR-05-0999. [DOI] [PubMed] [Google Scholar]
  • 186.Bustin SA, Mueller S. Real-time reverse transcription PCR (qRT-PCR) and its potential use in clinical diagnosis. Clin Sci. 2005;109:365–379. doi: 10.1042/CS20050086. [DOI] [PubMed] [Google Scholar]
  • 187.Lewis TB, Robison JE, Bastien R, Milash B, Boucher K, Samlowski WE, Leachman SA, Noyes RD, Wittwer CT, Perreard L, Bernard PS. Molecular classification of melanoma using real-time quantitative reverse transcriptase-polymerase chain reaction. Cancer. 2005;104:1678–1686. doi: 10.1002/cncr.21372. [DOI] [PubMed] [Google Scholar]
  • 188.Schuierer MM, Langmann T. Molecular diagnosis of ATP-binding cassette transporter-related diseases. Expert Rev Mol Diagn. 2005;5:755–767. doi: 10.1586/14737159.5.5.755. [DOI] [PubMed] [Google Scholar]
  • 189.Hesse E, Musholt PB, Potter E, Petrich T, Wehmeier M, von Wasielewski R, Lichtinghagen R, Musholt TJ. Oncofoetal fibronectin: a tumour-specific marker in detecting minimal residual disease in differentiated thyroid carcinoma. Br J Cancer. 2005;93:565–570. doi: 10.1038/sj.bjc.6602741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Arya M, Shergill IS, Williamson M, Gommersall L, Arya N, Patel HR. Basic principles of real-time quantitative PCR. Expert Rev Mol Diagn. 2005;5:209–219. doi: 10.1586/14737159.5.2.209. [DOI] [PubMed] [Google Scholar]
  • 191.Molijn A, Kleter B, Quint W, van Doorn LJ. Molecular diagnosis of human papillomavirus (HPV) infections. J Clin Virol. 2005;32:S43–51. doi: 10.1016/j.jcv.2004.12.004. [DOI] [PubMed] [Google Scholar]
  • 192.de Kok JB, Roelofs RW, Giesendorf BA, Pennings JL, Waas ET, Feuth T, Swinkels DW, Span PN. Normalization of gene expression measurements in tumor tissues: comparison of 13 endogenous control genes. Lab Invest. 2005;85:154–159. doi: 10.1038/labinvest.3700208. [DOI] [PubMed] [Google Scholar]
  • 193.Raja S, Ching J, Xi L, Hughes SJ, Chang R, Wong W, McMillan W, Gooding WE, McCarty KS, Chestney M, Luketich JD, Godfrey TE. Technology for automated, rapid and quantitative PCR or reverse transcription-PCR clinical testing. Clinical Chemistry. 2005;51:882–890. doi: 10.1373/clinchem.2004.046474. [DOI] [PubMed] [Google Scholar]
  • 194.Aberle SW, Puchhammer-Stöckl E. Diagnosis of herpesvirus infections of the central nervous system. J Clin Virol. 2002;25:S79–85. doi: 10.1016/s1386-6532(02)00037-9. [DOI] [PubMed] [Google Scholar]
  • 195.Niesters HG, Van Esser J, Fries E, Wolthers KC, Corenlissen J, Osterhaus AD. Development of a real-time quantitative assay for detection of Epstein-Barr virus. J Clin Microbiol. 2000;38:712–715. doi: 10.1128/jcm.38.2.712-715.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Verstrepen WA, Kuhn S, Kockx MM, Van De Vyvere ME, Mertens AH. Rapid detection of enterovirus RNA in cerebro-spinal fluid specimens with a novel single-tube real-time reverse transcription PCR assay. J Clin Microbiol. 2001;39:4093–4096. doi: 10.1128/JCM.39.11.4093-4096.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Whiley DM, Mackay IM, Sloots TP. Detection and differentiation of human polyomaviruses JC and BK by LightCycler PCR. J Clin Microbiol. 2001;39:4357–4361. doi: 10.1128/JCM.39.12.4357-4361.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Schmidt I, Blümel J, Seitz H, Willkommen H, Lower J. Parvovirus B19 DNA in plasma pools and plasma derivatives. Vox Sang. 2001;81:228–235. doi: 10.1046/j.1423-0410.2001.00120.x. [DOI] [PubMed] [Google Scholar]
  • 199.Briese T, Glass WG, Lipken WI. Detection of West Nile Virus sequences in cerebrospinal fluid. Lancet. 2000;355:1614–1615. doi: 10.1016/s0140-6736(00)02220-0. [DOI] [PubMed] [Google Scholar]
  • 200.Ward CL, Dempsey MH, Ring CJ, Kempson RE, Zhang L, Gor D, Snowden BW, Tisdale M. Design and performance testing of quantitative real time PCR assays for influenza A and B viral load measurement. J Clin Virol. 2004;29:179–188. doi: 10.1016/S1386-6532(03)00122-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Espy MJ, Cockerill IF, Meyer RF, Bowen MD, Poland GA, Hadfield TL, Smith TF. Detection of smallpox virus DNA by LightCycler PCR. J Clin Microbiol. 2002;40:1985–1988. doi: 10.1128/JCM.40.6.1985-1988.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Leung AY, Chan M, Tang SC, Liang R, Kwong YL. Real-time quantitative analysis of polyoma BK viremia and viruria in renal allograft recipients. J Virol Methods. 2002;103:51–6. doi: 10.1016/s0166-0934(01)00447-5. [DOI] [PubMed] [Google Scholar]
  • 203.Costa-Mattioli M, Monpoeho S, Nicand E, Aleman MH, Billaudel S, Ferré V. Quantification and duration of viraemia during hepatitis A infection as determined by real-time RT-PCR. J Viral Hepat. 2002;9:101–106. doi: 10.1046/j.1365-2893.2002.00336.x. [DOI] [PubMed] [Google Scholar]
  • 204.Nitsche A, Buttner M, Wilhelm S, Pauli G, Meyer H. Real-time PCR detection of parapoxvirus DNA. Clin Chem. 2006;52:316–319. doi: 10.1373/clinchem.2005.060335. [DOI] [PubMed] [Google Scholar]
  • 205.Chien LJ, Liao TL, Shu PY, Huang JH, Gubler DJ, Chang GJJ. Development of real-time reverse transcriptase PCR assays to detect and serotype dengue viruses. J Clin Microbiol. 2006;44:1295–1304. doi: 10.1128/JCM.44.4.1295-1304.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Desire N, Dehee A, Schneider V, Jacomet C, Goujon C, Girard PM, Rozenbaum W, Nicholas JC. Quantification of human immunodeficiency virus type 1 proviral load by a TaqMan real-time PCR assay. J Clin Microbiol. 2001;39:1303–1310. doi: 10.1128/JCM.39.4.1303-1310.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Garcia SC, Billecocq JM, Peinnequin A, Jouan A, Bouloy A, Garin MD. Quantitative real-time PCR detection of Rift Valley fever virus and its application to evaluation of antiviral compounds. J Clin Microbiol. 2001;39:4456–4461. doi: 10.1128/JCM.39.12.4456-4461.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Hu AZ, Colella M, Zhao P, Li FL, Tam JS, Rappaport R, Cheng SM. Development of a real-time RT-PCR assay for detection and quantitation of parainfluenza virus 3. J Virol Methods. 2005;130:145–148. doi: 10.1016/j.jviromet.2005.06.014. [DOI] [PubMed] [Google Scholar]
  • 209.Keightley MC, Sillekens P, Schippers W, Rinaldo C, St George K. Real-time NASBA detection of SARS-associated coronavirus and comparison with real-time reverse transcription-PCR. J Med Virol. 2005;77:602–608. doi: 10.1002/jmv.20498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210.Lanciotti RS, Kerst AJ. Nucleic acid sequence-based amplification assays for rapid detection of West Nile and St. Louis en-cephalitis viruses. J Clin Microbiol. 2001;39:4506–4513. doi: 10.1128/JCM.39.12.4506-4513.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 211.Shu PY, Chang SF, Kuo YC, Yueh YY, Chien LJ, Sue CL, Lin TH, Huang JH. Development of group- and sero-type-specific one-step SYBR green I-based real-time reverse transcription-PCR assay for dengue virus. J Clin Microbiol. 2003;41:2408–2416. doi: 10.1128/JCM.41.6.2408-2416.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Rafii F, Coleman T. Cloning and expression in Escherichia Coli of an azoreductase gene from Clostridium perfringens and comparison with azoreductase genes from other bacteria. J Basic Microbiol. 1999;39:29–35. [PubMed] [Google Scholar]
  • 213.Suzuki Y, Yoda T, Ruhul A, Sugiura W. Molecular cloning and characterization of the gene coding for azoreductase from Bacillus sp. OY1-2 isolated from soil. J Biol Chem. 2001;276:9059–9065. doi: 10.1074/jbc.M008083200. [DOI] [PubMed] [Google Scholar]
  • 214.Chang JS, Chou C, Lin YC, Lin PJ, Ho JY, Hu TL. Kinetic characteristics of bacterial azo-dye decolorization by Pseudomonas luteola. Water Sci Technol. 2001;43:261–269. doi: 10.1016/s0043-1354(00)00581-9. [DOI] [PubMed] [Google Scholar]
  • 215.Blümel A, Knackmuss HJ, Stolz A. Molecular cloning and characterization of the gene coding for the aerobic azoreductase from Xenophilus azovorans KF46F. Appl Environment Microbiol. 2002;68:3948–3955. doi: 10.1128/AEM.68.8.3948-3955.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216.Russ R, Rau J, Stolz A. The function of cytoplasmatic flavin reductases in the bacterial reduction of azo dyes. Appl Environ Microbiol. 2000;66:1429–1434. doi: 10.1128/aem.66.4.1429-1434.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217.Sugano Y, Nakanao R, Sasaki K, Shoda M. Efficient heterologous expression in Aspergillus oryzae of a unique dye-decolorizing peroxidase DyP of Geotrichum candidum. Appl Environ Microbiol. 2000;66:1754–1758. doi: 10.1128/aem.66.4.1754-1758.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Larrondo LF, Salas L, Melo F, Vicuña R, Cullen D. A novel extracellular multicopper oxidase from Phanerochaete chrysosporium with ferroxidase activity. Appl Environment Microbiol. 2003;69:6257–6263. doi: 10.1128/AEM.69.10.6257-6263.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Larrondo LF, Lobos S, Stewart P, Cullen D, Vicuña R. Isoenzyme multiplicity and characterization of recombinant manganese peroxidases from Ceriporiopsis subvermispora and Phan-erochaete chrysosporium. Appl Environ Microbiol. 67:2070–2075. doi: 10.1128/AEM.67.5.2070-2075.2001. 2001a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Cherry J, Lamsa M, Schneider P, Vind J, Svendsen A, Jones A, Pedersen A. Directed evolution of a fungal peroxidase. Nat Biotechnol. 1999;17:379–384. doi: 10.1038/7939. [DOI] [PubMed] [Google Scholar]
  • 221.Schneider P, Caspersen M, Mondrof K, Halkier T, Skovl K, Østergaard PR, Brown KM, Brown SH, Feng XU. Characterization of a Coprinus cinereus laccase. Enzyme Microb Technol. 1999;25:502–508. [Google Scholar]
  • 222.Larrondo LF, Lobos S, Stewart P, Cullen D, Vicuña R. Isoenzyme multiplicity and characterization of recombinant manganese peroxidases from Ceriporiopsis subvermispora and Phan-erochaete chrysosporium. Appl Environment Microbiol. 67:2070–2075. doi: 10.1128/AEM.67.5.2070-2075.2001. 2001b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.Otterbein L, Record E, Longhi S, Asther M, Moukha S. Molecular cloning of the cDNA encoding laccase from Pycnoporus cinnabarinus I-937 and expression in Pichia pastoris. Eur J Biochem. 2000;267:1619–1625. doi: 10.1046/j.1432-1327.2000.01166.x. [DOI] [PubMed] [Google Scholar]
  • 224.Record E, Punt PJ, Chamkha M, Labat M, van den Hondel CAMJJ, Asther M. Expression of the Pycnoporus cinna-barinus laccase gene in Aspergillus niger and characterization of the recombinant enzyme. Eur J Biochem. 2002;269:602–609. doi: 10.1046/j.0014-2956.2001.02690.x. [DOI] [PubMed] [Google Scholar]
  • 225.Soden DM, Dobson ADW. Differential regulation of lac-case gene expression in Pleurotus sajor-caju. Microbiology. 2001;147:1755–1763. doi: 10.1099/00221287-147-7-1755. [DOI] [PubMed] [Google Scholar]
  • 226.Larsson S, Cassland P, Jönsson LJ. Development of a Sac-charomyces cerevisiae strain with enhanced resistance to phenolic fermentation inhibitors in lignocellulose hydrolysates by heterologous expression of laccase. Appl Environment Microbiol. 2001;67:1163–1170. doi: 10.1128/AEM.67.3.1163-1170.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.O’Callaghan J, O’Brien MM, McClean K, Dobson ADW. Optimization of the expression of a Trametes versicolor laccase gene in Pichia pastoris. J Industr Microbiol Biotechnol. 2002;29:55–59. doi: 10.1038/sj.jim.7000268. [DOI] [PubMed] [Google Scholar]
  • 228.Hong F, Meinander NQ, Jönsson LJ. Fermentation strategies for improved heterologous expression of laccase in Pichia pas-toris. Biotechnol Bioeng. 2002;79:438–449. doi: 10.1002/bit.10297. [DOI] [PubMed] [Google Scholar]
  • 229.Schaad NW, Berthier-Schaad Y, Sechler A, Kanorr D. Detection of Clavibacter michiganensis subsp. sepedonicus in potato tubers by BIO-PCR and an automated real-time fluorescence detection system. Plant Dis. 1999;83:1095–1100. doi: 10.1094/PDIS.1999.83.12.1095. [DOI] [PubMed] [Google Scholar]
  • 230.Weller SA, Elphinstone JG, Smith NC, Boonham N, Stead DE. Detection of Ralstonia solanacearum strains with a quantitative, multiplex, real-time, fluorogenic PCR (TaqMan®) assay. Appl Environment Microbiol. 2000;66:2853–2858. doi: 10.1128/aem.66.7.2853-2858.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231.Randhawa PS, Pannu1 SS, Schaad NW. Improved bio-PCR test for detection of Acidovorax avenae subsp citrulli in watermelon and cantaloupe seeds. APS/MSA/SON Joint Meeting August 25-29, 2001, Salt Lake City, USA. [Google Scholar]
  • 232.Weller SA, Stead DE. Detection of root mat associated Agrobacterium strains from plant material and other sample types by post-enrichment TaqMan PCR. J Appl Microbiol. 2002;92:118–126. doi: 10.1046/j.1365-2672.2002.01506.x. [DOI] [PubMed] [Google Scholar]
  • 233.Salm H, Geider K. Real-time PCR for detection and quantification of Erwinia amylovora, the causal agent of fireblight. Plant Pathol. 2004;53:602–610. [Google Scholar]
  • 234.van de Graaf PV, Lees AK, Cullen DW, Duncan JM. Detection and quantification of Spongospora subterranea in soil, water and plant tissue samples using real-time PCR. Eur J Plant Pathol. 2003;109:589–597. [Google Scholar]
  • 235.Filion M, St-Arnaud M, Jabaji-Hare SH. Quantification of Fusarium solani f. sp. phaseoli in mycorrhizal bean plants and surrounding mycorrhizosphere soil using real-time polymerase chain reaction and direct isolations on selective media. Phytopathol. 2003;93:229–235. doi: 10.1094/PHYTO.2003.93.2.229. [DOI] [PubMed] [Google Scholar]
  • 236.Avrova AO, Venter E, Birch PRJ, Whisson SC. Profiling and quantifying differential gene transcription in Phytophthora infestans prior to and during the early stages of potato infection. Fungal Genet Biol. 2003;40:4–14. doi: 10.1016/s1087-1845(03)00063-x. [DOI] [PubMed] [Google Scholar]
  • 237.Mercado-Blanco J, Collado-Romero M, Parrilla-Araujo S, Rodríguez-Jurado D, Jiménez-Díaz RM. Quantitative monitoring of colonization of olive genotypes by Verticillium dahliae pathtotypes with real-time polymerase chain reaction. Physiol Mol Plant Pathol. 2003;63:91–105. [Google Scholar]
  • 238.Gachon C, Saindrenan P. Real-time PCR monitoring of fungal development in Arabidopsis thaliana infected by Alternaria brassicicola and Botrytis cinerea. Plant Physiol Biochem. 2004;42:367–371. doi: 10.1016/j.plaphy.2004.04.001. [DOI] [PubMed] [Google Scholar]
  • 239.Gao X, Jackson TA, Lambert KN, Li S, Hartman GL, Niblack TL. Detection and quantification of Fusarium solani f. sp. glycines in soybean roots with real-time quantitative polymerase chain reaction. Plant Dis. 2004;88:1372–1380. doi: 10.1094/PDIS.2004.88.12.1372. [DOI] [PubMed] [Google Scholar]
  • 240.Hayden KJ, Rizzo D, Tse J, Garbelotto M. Detection and quantification of Phytophthora ramorum from California forests using a real-time polymerase chain reaction assay. Phytopathol. 2004;94:1075–1083. doi: 10.1094/PHYTO.2004.94.10.1075. [DOI] [PubMed] [Google Scholar]
  • 241.Tomlinson JA, Boonham N, Hughes KJD, Griffin RL, Barker I. On-site DNA extraction and real-time PCR for detection of Phytophthora ramorum in the field. Appl Environment Microbiol. 2005;71:6702–6710. doi: 10.1128/AEM.71.11.6702-6710.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Eibel P, Wolf GA, Koch E. Detection of Tilletia caries, causal agent of common bunt of wheat, by ELISA and PCR. J Phytopathol. 2005;153:297–306. [Google Scholar]
  • 243.Luchi N, Capretti P, Pinzani P, Orlando C, Pazzagli M. Real-time PCR detection of Biscogniauxia mediterranea in symptomless oak tissue. Lett Appl Microbiol. 2005;41:61–68. doi: 10.1111/j.1472-765X.2005.01701.x. [DOI] [PubMed] [Google Scholar]
  • 244.Zhang Z, Zhang J, Wang Y, Zheng X. Molecular detection of Fusarium oxysporum f. sp. niveum and Mycosphaerella melonis in infected plant tissues and soil. FEMS Microbiol Lett. 2005;249:39–47. doi: 10.1016/j.femsle.2005.05.057. [DOI] [PubMed] [Google Scholar]
  • 245.Walsh K, Korimbocus J, Boonham H, Jennings P, Hims M. Using real-time PCR to discriminate and quantify the closely related wheat pathogens Oculimacula yallundae and Oculimacula acuformis. J Phytopathol. 2005;153:715–721. [Google Scholar]
  • 246.Walsh K, Boonham N, Barker I, Collins DW. Development of a sequence-specific real-time PCR to the melon thrips Thrips palmi (Thysan., Thripidae) J Appl Entomol. 2005;129:272–279. [Google Scholar]
  • 247.Li W, Hartung JS, Levy L. Quantitative real-time PCR for detection and identification of Candidatus Liberibacter species associated with citrus huanglongbing. J Microbiol Methods. 2006;66:104–115. doi: 10.1016/j.mimet.2005.10.018. [DOI] [PubMed] [Google Scholar]
  • 248.Luchi N, Capretti P, Vettraino AM, Vannini A, Pinzani P, Pazzagli M. Early detection of Biscogniauxia nummularia in symptomless European beech (Fagus sylvatica L.) by TaqManTM quantitative real-time PCR. Lett Appl Microbiol. 2006;43:33–38. doi: 10.1111/j.1472-765X.2006.01920.x. [DOI] [PubMed] [Google Scholar]
  • 249.Jackson EW, Avant JB, Overturf KE, Bonman JM. A quantitative assay of Puccinia coronata f. sp avenae DNA in Avena sativa. Plant Dis. 2006;90:629–636. doi: 10.1094/PD-90-0629. [DOI] [PubMed] [Google Scholar]
  • 250.Lopez R, Asensio C, Guzman MM, Boonham N. Development of real-time and conventional RT-PCR assays for the detection of potato yellow vein virus (PYVV) J Virol Methods. 2006;136:24–29. doi: 10.1016/j.jviromet.2006.03.026. [DOI] [PubMed] [Google Scholar]

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