Application of real-time and multiplex PCR assays to study leaf blotch epidemics in barley

Leaf blotch, caused by Rhynchosporium secalis, was studied in a range of winter barley cultivars using a combination of traditional plant pathological techniques and newly developed multiplex and real-time polymerase chain reaction (PCR) assays. Using PCR, symptomless leaf blotch colonization was shown to occur throughout the growing season in the resistant winter barley cv. Leonie. The dynamics of colonization throughout the growing season were similar in both Leonie and Vertige, a susceptible cultivar. However, pathogen DNA levels were approximately 10-fold higher in the susceptible cultivar, which expressed symptoms throughout the growing season. Visual assessments and PCR also were used to determine levels of R. secalis colonization and infection in samples from a field experiment used to test a range of winter barley cultivars with different levels of leaf blotch resistance. The correlation between the PCR and visual assessment data was better at higher infection levels (R(2) = 0.81 for leaf samples with >0.3% disease). Although resistance ratings did not correlate well with levels of disease for all cultivars tested, low levels of infection were observed in the cultivar with the highest resistance rating and high levels of infection in the cultivar with the lowest resistance rating.

The automation and evaluation of nested clade phylogeographic analysis

Nested clade phylogeographic analysis (NCPA) is a popular method for reconstructing the demographic history of spatially distributed populations from genetic data. Although some parts of the analysis are automated, there is no unique and widely followed algorithm for doing this in its entirety, beginning with the data, and ending with the inferences drawn from the data. This article describes a method that automates NCPA, thereby providing a framework for replicating analyses in an objective way. To do so, a number of decisions need to be made so that the automated implementation is representative of previous analyses. We review how the NCPA procedure has evolved since its inception and conclude that there is scope for some variability in the manual application of NCPA. We apply the automated software to three published datasets previously analyzed manually and replicate many details of the manual analyses, suggesting that the current algorithm is representative of how a typical user will perform NCPA. We simulate a large number of replicate datasets for geographically distributed, but entirely random-mating, populations. These are then analyzed using the automated NCPA algorithm. Results indicate that NCPA tends to give a high frequency of false positives. In our simulations we observe that 14% of the clades give a conclusive inference that a demographic event has occurred, and that 75% of the datasets have at least one clade that gives such an inference. This is mainly due to the generation of multiple statistics per clade, of which only one is required to be significant to apply the inference key. We survey the inferences that have been made in recent publications and show that the most commonly inferred processes (restricted gene flow with isolation by distance and contiguous range expansion) are those that are commonly inferred in our simulations. However, published datasets typically yield a richer set of inferences with NCPA than obtained in our random-mating simulations, and further testing of NCPA with models of structured populations is necessary to examine its accuracy.

The automation of nested clade phylogeographic analysis

ANeCA is a fully automated implementation of Nested Clade Phylogeographic Analysis. This was originally developed by Templeton and colleagues, and has been used to infer, from the pattern of gene sequence polymorphisms in a geographically structured population, the historical demographic processes that have shaped its evolution. Until now it has been necessary to perform large parts of the procedure manually. We provide a program that will take data in Nexus sequential format, and directly output a set of inferences. The software also includes TCS v1.18 and GeoDis v2.2 as part of automation.

Characterization and PCR multiplexing of polymorphic microsatellite loci in cashew (Anacardium occidentale L.) and their cross-species utilization

Cashew (Anacardium occidentale L.) is the most economically important tropical nut crop in the world, and yet there are no sequence tagged site (STS) markers available for its study. Here we use an automated, high-throughput system to isolate cashew microsatellites from a non-enriched genomic library blotted onto membranes at high density for screening. Sixty-five sequences contained a microsatellite array, of which 21 proved polymorphic among a closely related seed garden population of 49 genotypes. Twelve markers were suitable for multiplex analysis. Of these, 10 amplified in all three related tropical tree species tested: Anacardium microcarpum, Anacardium pumilum and Anacardium nanum.

Detection and enumeration of sulphate-reducing bacteria in estuarine sediments by competitive PCR

The distribution of sulphate-reducing bacteria (SRB) in the sediments of the Colne River estuary, Essex, UK covering different saline concentrations of sediment porewater was investigated by the use of quantitative competitive PCR. Here, we show that a new PCR primer set and a new quantitative method using PCR are useful tools for the detection and the enumeration of SRB in natural environments. A PCR primer set selective for the dissimilatory sulphite reductase gene (dsr) of SRB was designed. PCR amplification using the single set of dsr-specific primers resulted in PCR products of the expected size from all 27 SRB strains tested, including Gram-negative and positive species. Sixty clones derived from sediment DNA using the primers were sequenced and all were closely related with the predicted dsr of SRB. These results indicate that PCR using the newly designed primer set are useful for the selective detection of SRB from a natural sample. This primer set was used to estimate cell numbers by dsr selective competitive PCR using a competitor, which was about 20% shorter than the targeted region of dsr. This procedure was applied to sediment samples from the River Colne estuary, Essex, UK together with simultaneous measurement of in situ rates of sulphate reduction. High densities of SRB ranging from 0.2 - 5.7 × 108 cells ml-1 wet sediment were estimated by the competitive PCR assuming that all SRB have a single copy of dsr. Using these estimates cell specific sulphate reduction rates of 10-17 to 10-15 mol of SO42- cell-1 day-1 were calculated, which is within the range of, or lower than, those previously reported for pure cultures of SRB. Our results show that the newly developed competitive PCR technique targeted to dsr is a powerful tool for rapid and reproducible estimation of SRB numbers in situ and is superior to the use of culture-dependent techniques.

Development of a PCR-based assay for rapid and reliable identification of pathogenic Fusaria

Identification of Fusarium species has always been difficult due to confusing phenotypic classification systems. We have developed a fluorescent-based polymerase chain reaction assay that allows for rapid and reliable identification of five toxigenic and pathogenic Fusarium species. The species includes Fusarium avenaceum, F. culmorum, F. equiseti, F. oxysporum and F. sambucinum. The method is based on the PCR amplification of species-specific DNA fragments using fluorescent oligonucleotide primers, which were designed based on sequence divergence within the internal transcribed spacer region of nuclear ribosomal DNA. Besides providing an accurate, reliable, and quick diagnosis of these Fusaria, another advantage with this method is that it reduces the potential for exposure to carcinogenic chemicals as it substitutes the use of fluorescent dyes in place of ethidium, bromide. Apart from its multidisciplinary importance and usefulness, it also obviates the need for gel electrophoresis. (C) 2002 Published by Elsevier Science B.V. on behalf of the Federation of European Microbiological Societies.

A general model of error-prone PCR

In this paper, we generalise a previously-described model of the error-prone polymerase chain reaction (PCR) reaction to conditions of arbitrarily variable amplification efficiency and initial population size. Generalisation of the model to these conditions improves the correspondence to observed and expected behaviours of PCR, and restricts the extent to which the model may explore sequence space for a prescribed set of parameters. Error-prone PCR in realistic reaction conditions is predicted to be less effective at generating grossly divergent sequences than the original model. The estimate of mutation rate per cycle by sampling sequences from an in vitro PCR experiment is correspondingly affected by the choice of model and parameters. (c) 2005 Elsevier Ltd. All rights reserved.

Nested parallelism for multi-core HPC systems using Java

Since its introduction in 1993, the Message Passing Interface (MPI) has become a de facto standard for writing High Performance Computing (HPC) applications on clusters and Massively Parallel Processors (MPPs). The recent emergence of multi-core processor systems presents a new challenge for established parallel programming paradigms, including those based on MPI. This paper presents a new Java messaging system called MPJ Express. Using this system, we exploit multiple levels of parallelism - messaging and threading - to improve application performance on multi-core processors. We refer to our approach as nested parallelism. This MPI-like Java library can support nested parallelism by using Java or Java OpenMP (JOMP) threads within an MPJ Express process. Practicality of this approach is assessed by porting to Java a massively parallel structure formation code from Cosmology called Gadget-2. We introduce nested parallelism in the Java version of the simulation code and report good speed-ups. To the best of our knowledge it is the first time this kind of hybrid parallelism is demonstrated in a high performance Java application. (C) 2009 Elsevier Inc. All rights reserved.

Four-dimensional variational data assimilation for high resolution nested models

Four-dimensional variational data assimilation (4D-Var) is used in environmental prediction to estimate the state of a system from measurements. When 4D-Var is applied in the context of high resolution nested models, problems may arise in the representation of spatial scales longer than the domain of the model. In this paper we study how well 4D-Var is able to estimate the whole range of spatial scales present in one-way nested models. Using a model of the one-dimensional advection–diffusion equation we show that small spatial scales that are observed can be captured by a 4D-Var assimilation, but that information in the larger scales may be degraded. We propose a modification to 4D-Var which allows a better representation of these larger scales.

PCR em tempo real para caracterização de fontes alimentares de flebotomíneos (Diptera: Psychodidae)

Os flebotomíneos são insetos hematófagos de grande importância médica e veterinária atuando como vetores de parasitas como Leishmania. O estudo do padrão alimentar desses vetores pode ajudar a compreender a sua interação com potenciais reservatórios de Leishmania. Neste estudo, desenvolvemos ensaios de PCR em tempo real para identificação de sangue em flebotomíneos. Seis pares de primers foram desenhados com base no gene citocromo b de sequencias disponíveis no GenBank dos seguintes hospedeiros potenciais: cão, gato, cavalo, galinha, rato e humano. Primeiramente, os ensaios de PCR em tempo real utilizando SYBR Green foram conduzidos usando uma curva padrão com oito concentrações diferentes (i.e., 10 ng, 1 ng, 100 pg, 10 pg, 1 pg, 100 fg, 10 fg e 1 fg por 2 µl) de amostras do DNA extraído do sangue com EDTA a partir de cada espécie de animal. Em seguida, o DNA foi extraído de 100 fêmeas de flebotomíneos ingurgitadas de campo pertencentes a três espécies (i.e., Lutzomyia longipalpis, L. migonei e L. lenti) foram testadas pelos protocolos aqui padronizados. Fêmeas de flebotomíneos foram experimentalmente alimentadas em um rato (Rattus rattus) e utilizadas para avaliar a detecção do ensaio. Os protocolos funcionaram de forma eficiente com limites de detecção de 10 pg a 100 fg. Fêmeas de flebotomíneos ingurgitadas coletadas no campo estavam alimentadas de humanos (73 por cento), galinhas (23 por cento), cães (22 por cento), cavalos (15 por cento), ratos (11 por cento) e gatos (2 por cento). Curiosamente, 76,1 por cento das fêmeas de L. longipalpis foram positivas para o sangue humano. No total, 48 por cento das fêmeas testadas estavam alimentadas em uma única fonte, 31 por cento em duas e 12 por cento em três. A análise do curso de tempo mostrou que a técnica de PCR em tempo real visando o DNA de roedor foi capaz de detectar pequenas quantidades de DNA do hospedeiro até 5 dias após o repasto sanguíneo. Esses protocolos representam ferramentas promissoras para a identificação da fonte alimentar de flebotomíneos de campo

Otimização da RT-PCR Multiplex para detecção de vírus dengue em amostras de Aedes aegypti infectados artificialmente

A dengue é a mais importante doença viral transmitida por mosquitos, no que diz respeito à morbidade e mortalidade, que afeta os seres humanos. Este vírus é transmitido pelos vetores Aedes albopictus e Aedes aegypti, este último é o principal vetor nas Américas. O controle da doença se baseia na vigilância laboratorial e vigilância entomológica. A vigilância laboratorial visa aprimorar a capacidade do diagnóstico, detectando precocemente a circulação viral e monitorando os sorotipos circulantes. Dentro deste tipo de vigilância, a RT-PCR é um método bastante usado no diagnóstico da doença em humanos e mosquitos, porém, a má conservação do material pode comprometer a integridade do RNA e trazer resultados falso-negativos. O desenvolvimento de melhores métodos de vigilância do vírus dengue (DENV) em mosquitos é de grande valor para os programas de controle. Desta maneira, o presente projeto visou otimizar a técnica de RT-PCR Multiplex para detecção de DENV em amostras de Ae. aegypti infectadas artificialmente pelo vírus. Primers que amplificam uma região de 80 pb do gene rpL8 de mosquito foram desenhados no site Primer3 e avaliados na ferramenta online Multiple Primer Analyzer, junto com primers que amplificam os sorotipos DENV. Não houve competição de primers e foi observado bandas distintas no gel de agarose. Foi avaliado o efeito de diferentes formas de preservação do material genético das amostras (RNAlater®, freezer -80°C e nitrogênio líquido) por 7 dias, onde não houve diferenças significativas em relação à integridade do RNA. O efeito de diferentes formas de extração de RNA (Kit da QIAGEN® , TRIzol® e Chomczymski-Sacchi) também foi avaliado e o método ChomczymskiSacchi obteve o melhor desempenho. A otimização desta técnica permitirá uma maior confiabilidade nos resultados, já que além da detecção dos sorotipos, haverá uma confirmação da qualidade do RNA, aprimorando a capacidade do diagnóstico e auxiliando a prevenção e controle da transmissão da dengue.