Development of ELISA for the detection of Ralstonia solanacearum in tomato: its application in seed health testing

Bacterial wilt caused by Ralstonia (formerly Pseudomonas) solanacearum is worldwide in distribution. It is one of the most destructive bacterial diseases of economically important crops. The serological assays so far developed for the detection of R. solanacearum were able to provide information as to the presence or absence of the pathogen in soil and plant materials. However, they could not discriminate between virulent and avirulent strains of the pathogen and were not specific to strains and races. In the present investigation, virulent bacterial cells (encapsulated with mucin) from tomato seeds were used as antigen and polyclonal antisera were developed in rabbit using a classical immunization protocol. Antisera thus developed were examined for the antibody titre, sensitivity, specificity, rapidity and the efficacy of the antibody in identifying the virulent and avirulent strains of the pathogen and the potential for application of this assay to the screening of infected plant materials and seeds. Our results indicate that the anti-tomato R. solanacearum: (i) has a good antibody titre of 1:10,000; (ii) can detect as few as 100 bacterial cells/ml; (iii) is tomato-specific (it reacted with tomato R. solanacearum, and not with isolates from chilli or eggplant); (iv) is reactive to all isolates of R. solanacearum from tomato; (v) is not cross-reactive with non-pseudomonads; (vi) is virulent strain-specific as it recognizes the virulent exopolysaccharide component as an antigenic determinant; (vii) reactivity could be correlated well with the degree of infection in tomato seeds and plant materials. The enzyme linked immunosorbent assay developed is sensitive, specific and rapid, therefore suitable for the detection of R. solanacearum isolates from tomato seeds during routine assays.     

A rapid bio‐optical sensor for diagnosing Q fever in clinical specimens

Recent zoonotic outbreaks, such as Zika, Middle East respiratory syndrome and Ebola, have highlighted the need for rapid and accurate diagnostic assays that can be used to aid pathogen control. Q fever is a zoonotic disease caused by the transmission of Coxiella burnetii that can cause serious illness in humans through aerosols and is considered a potential bioterrorism agent. However, the existing assays are not suitable for the detection of this pathogen due to its low levels in real samples. We here describe a rapid bio‐optical sensor for the accurate detection of Q fever and validate its clinical utility. By combining a bio‐optical sensor, that transduces the presence of the target DNA based on binding‐induced changes in the refractive index on the waveguide surface in a label‐free and real‐time manner, with isothermal DNA amplification, this new diagnostic tool offers a rapid (<20 min), 1‐step DNA amplification/detection method. We confirmed the clinical sensitivity (>90%) of the bio‐optical sensor by detecting C. burnetii in 11 formalin‐fixed, paraffin‐embedded liver biopsy samples from acute Q fever hepatitis patients and in 16 blood plasma samples from patients in which Q fever is the cause of fever of unknown origin.      

Molecular detection and cloning of thermostable hemolysin gene from <Emphasis Type="Italic">Aeromonas hydrophila</Emphasis>

Aeromonas hydrophila is a major bacterial pathogen associated with hemorrhagic septicemia in aquatic and terrestrial animals including humans. There is an urgent need to develop molecular and immunological assays for rapid, specific and sensitive diagnosis. A new set of primers has been designed for detection of thermostable hemolysin (TH) gene (645 bp) from A. hydrophila, and sensitivity limit for detection of TH gene was 5 pg. The TH gene was cloned, sequenced and analyzed. The G+C content was 68.06%; and phylogeny was constructed using TH protein sequences which had significant homology with those for thermostable and other hemolysins present in several bacterial pathogens. In addition, we have predicted the four and eight T-cell epitopes for MHC class I and II alleles, respectively. These results provide new insight for TH protein containing antigenic epitopes that can be used in immunoassays and also designing of thermostable vaccines.     

Arachidonic acid-induced hypersensitive cell death as an assay of downy mildew resistance in pearl millet

Arachidonic acid (AA) induces hypersensitive response (HR) on coleoptile/root regions of two-day-old pearl millet seedlings. The response is comparable to the HR induced by the downy mildew pathogen, Sclerospora graminicola. A time gap in the appearance of cell necrosis among genotypes of pearl millet was related to the degree of resistance to downy mildew. Based on the time required for the development of necrotic spots induced by AA, the pearl millet genotypes were categorised as highly resistant/resistant (HR in 3–6 h), susceptible (HR in 7–12 h) and highly susceptible (HR in 13 h and above). The percentage disease incidence in each genotype was compared with the time required for the development of AA-induced HR. The appearance of hypersensitive cell necrosis was rapid in genotypes having high resistance to downy mildew and was slow in genotypes with high susceptibility. This simple method of screening various pearl millet genotypes in the absence of the pathogen aids in identifying the downy mildew resistant/susceptible host cultivars without the risk of introducing the virulent race of the pathogen.     

Multiplex PCR for detection of Escherichia coli O157:H7 in foods

Escherichia coli O157:H7 is well known enterohemorrhagic pathogen responsible for infections among animals including a man. The main source of this bacterium is cattle, that is mostly asymptomatic and through that E. coli O157:H7 can simple transfer to food products. Therefore, there is a need for rapid, sensitive and specific detection method. The present work is focused on its detection by a heptaplex polymerase chain reaction, which targets genes from known virulent regions of E. coli O157:H7. According to obtained results this approach is able to reach the detection sensitivity of 4 colony-forming units (CFU) from a culture and 6 and 8 CFU from milk and meat samples, respectively, independently of tested sample volume.     

Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data

Obtaining inferences on disease dynamics (e.g., host population size, pathogen prevalence, transmission rate, host survival probability) typically requires marking and tracking individuals over time. While multistate mark–recapture models can produce high‐quality inference, these techniques are difficult to employ at large spatial and long temporal scales or in small remnant host populations decimated by virulent pathogens, where low recapture rates may preclude the use of mark–recapture techniques. Recently developed N‐mixture models offer a statistical framework for estimating wildlife disease dynamics from count data. N‐mixture models are a type of state‐space model in which observation error is attributed to failing to detect some individuals when they are present (i.e., false negatives). The analysis approach uses repeated surveys of sites over a period of population closure to estimate detection probability. We review the challenges of modeling disease dynamics and describe how N‐mixture models can be used to estimate common metrics, including pathogen prevalence, transmission, and recovery rates while accounting for imperfect host and pathogen detection. We also offer a perspective on future research directions at the intersection of quantitative and disease ecology, including the estimation of false positives in pathogen presence, spatially explicit disease‐structured N‐mixture models, and the integration of other data types with count data to inform disease dynamics. Managers rely on accurate and precise estimates of disease dynamics to develop strategies to mitigate pathogen impacts on host populations. At a time when pathogens pose one of the greatest threats to biodiversity, statistical methods that lead to robust inferences on host populations are critically needed for rapid, rather than incremental, assessments of the impacts of emerging infectious diseases.     

Development and Evaluation of a Panel of Filovirus Sequence Capture Probes for Pathogen Detection by Next-Generation Sequencing

A detailed understanding of the circulating pathogens in a particular geographic location aids in effectively utilizing targeted, rapid diagnostic assays, thus allowing for appropriate therapeutic and containment procedures. This is especially important in regions prevalent for highly pathogenic viruses co-circulating with other endemic pathogens such as the malaria parasite. The importance of biosurveillance is highlighted by the ongoing Ebola virus disease outbreak in West Africa. For example, a more comprehensive assessment of the regional pathogens could have identified the risk of a filovirus disease outbreak earlier and led to an improved diagnostic and response capacity in the region. In this context, being able to rapidly screen a single sample for multiple pathogens in a single tube reaction could improve both diagnostics as well as pathogen surveillance. Here, probes were designed to capture identifying filovirus sequence for the ebolaviruses Sudan, Ebola, Reston, Taï Forest, and Bundibugyo and the Marburg virus variants Musoke, Ci67, and Angola. These probes were combined into a single probe panel, and the captured filovirus sequence was successfully identified using the MiSeq next-generation sequencing platform. This panel was then used to identify the specific filovirus from nonhuman primates experimentally infected with Ebola virus as well as Bundibugyo virus in human sera samples from the Democratic Republic of the Congo, thus demonstrating the utility for pathogen detection using clinical samples. While not as sensitive and rapid as real-time PCR, this panel, along with incorporating additional sequence capture probe panels, could be used for broad pathogen screening and biosurveillance.     

Loop‐mediated isothermal amplification for the rapid detection of Gardnerella vaginalis

The aim of this study was to develop a method for the rapid detection of Gardnerella vaginalis, which is proposed to play a key role in the pathogenesis of bacterial vaginosis. Specific loop‐mediated isothermal amplification (LAMP) primers were designed and used to detect target DNA within 45 min under isothermal conditions. Comparative screening indicated that the LAMP assay is superior to PCR in terms of rapidity, and is equivalent in sensitivity and specificity. This LAMP assay can be used for rapid screening and detection of G. vaginalis in vaginal samples; the limit of detection is 10 fg DNA.

     

Target-cycling synchronized rolling circle amplification strategy for biosensing Helicobacter pylori DNA

Helicobacter pylori is closely linked to many gastric diseases such as gastric ulcers and duodenal ulcers. Therefore, biosensing H. pylori has attracted wide attention from both scientists and clinicians. Here, we proposed an electrochemiluminescence (ECL)-based platform that could sensitively detect H. pylori DNA. In this platform, a novel target-cycling synchronized rolling circle amplification was used for signal amplification. Silver nanoclusters (Ag NCs) were synthesized on the circle DNA products, embedding them with the ability to catalyze the electrochemical reduction of K₂S₂O₈, in turn resulting in rapid consumption of the ECL co-reactant near the working electrode, and leading to a decrease in the ECL emission intensity. In addition to its excellent stability and selectivity, the proposed strategy had a low detection limit of 10 pM, an indication that it can be beneficially applied to test biosamples. Furthermore, a biosensing chip was designed to improve the throughput and shed new light on large-scale clinical biosensing applications.     

Evaluation of BacLiteRapidMRSA, a rapid culture based screening test for the detection of ciprofloxacin and methicillin resistantS. aureus(MRSA) from screening swabs

Background  

Methicillin-resistantStaphylococcus aureus(MRSA) is a major nosocomial pathogen worldwide. The need for accurate and rapid screening methods to detect MRSA carriers has been clearly established. The performance of a novel assay, BacLiteRapidMRSA (Acolyte Biomedica, UK) for the rapid detection (5 h) and identification of hospital associated ciprofloxacin resistant strains of MRSA directly from nasal swab specimens was compared to that obtained by culture on Mannitol salt agar containing Oxacillin (MSAO) after 48 h incubation.     

Analysis of Vibrio seventh pandemic island II and novel genomic islands in relation to attachment sequences among a wide variety of Vibrio cholerae strains

Vibrio cholerae O1 El Tor, the pathogen responsible for the current cholera pandemic, became pathogenic by acquiring virulent factors including Vibrio seventh pandemic islands (VSP)‐I and ?II. Diversity of VSP‐II is well recognized; however, studies addressing attachment sequence left (attL) sequences of VSP‐II are few. In this report, a wide variety of V. cholerae strains were analyzed for the structure and distribution of VSP‐II in relation to their attachment sequences. Of 188 V. cholerae strains analyzed, 81% (153/188) strains carried VSP‐II; of these, typical VSP‐II, and a short variant was found in 36% (55/153), and 63% (96/153), respectively. A novel VSP‐II was found in two V. cholerae non‐O1/non‐O139 strains. In addition to the typical 14‐bp attL, six new attL‐like sequences were identified. The 14‐bp attL was associated with VSP‐II in 91% (139/153), whereas the remaining six types were found in 9.2% (14/153) of V. cholerae strains. Of note, six distinct types of the attL‐like sequence were found in the seventh pandemic wave 1 strains; however, only one or two types were found in the wave 2 or 3 strains. Interestingly, 86% (24/28) of V. cholerae seventh pandemic strains harboring a 13‐bp attL‐like sequence were devoid of VSP‐II. Six novel genomic islands using two unique insertion sites to those of VSP‐II were identified in 11 V. cholerae strains in this study. Four of those shared similar gene clusters with VSP‐II, except integrase gene.

     

Rapid detection by multiplex PCR of Genomic Islands, prophages and Integrative Conjugative Elements in V. cholerae 7th pandemic variants

Vibrio cholerae poses a threat to human health, and new epidemic variants have been reported so far. Seventh pandemic V. cholerae strains are characterized by highly related genomic sequences but can be discriminated by a large set of Genomic Islands, phages and Integrative Conjugative Elements. Classical serotyping and biotyping methods do not easily discriminate among new variants arising worldwide, therefore the establishment of new methods for their identification is required. We developed a multiplex PCR assay for the rapid detection of the major 7th pandemic variants of V. cholerae O1 and O139. Three specific genomic islands (GI-12, GI-14 and GI-15), two phages (Kappa and TLC), Vibrio Seventh Pandemic Island 2 (VSP-II), and the ICEs of the SXT/R391 family were selected as targets of our multiplex PCR based on a comparative genomic approach. The optimization and specificity of the multiplex PCR was assessed on 5 V. cholerae 7th pandemic reference strains, and other 34 V. cholerae strains from various epidemic events were analyzed to validate the reliability of our method. This assay had sufficient specificity to identify twelve different V. cholerae genetic profiles, and therefore has the potential to be used as a rapid screening method.     

Rapid identification and detection of intracellular survival testing of mycobacterium smegmatis mc²155 that contains eis gene from mycobacterium tuberculosis by flow cytometry

Mycobacterium tuberculosis is a facultative intracellular pathogen that has evolved the ability to survive and multiply within human macrophages. The enhanced intracellular survival (eis) gene (Rv2416c) from M. tuberculosis has been identified as a potential factor that can enhance the intracellular survival of Mycobacterium smegmatis in the macrophage cell line. However, the time requirements for intracellular survival testing of Mycobacterium using classical methodologies are still too long. In this study, we used M. smegmatis mc²155 that contains eis to develop and study a rapid method to test intracellular survival using flow cytometry. We demonstrated the success of this technique, which required only a few hours. This assay is rapid, accurate, and reproducible, and it would be valuable for the rapid detection of intracellular survival of mycobacteria.     

Dual monoclonal antibody-based sandwich ELISA for detection of in vitro packaged Ebola virus

Background

Rapid transmission and high mortality of Ebola virus disease (EVD) highlight a urgent need of large scale, convenient and effective measure for Ebola virus screening. Application of monoclonal antibodies (mAbs) are crucial for establishment of an enzyme-linked immunosorbent assay (ELISA) with high sensitivity and specificity.

Methods

The traditional cell fusion technique was used to generate a panel of hybridomas. Two mAbs were characterized by SDS-PAGE, Western blot, Indirect immunofluorescence assay (IFA). A sandwich ELISA was established using the two mAbs. The detection capability of the ELISA was evaluated.

Results

In the current study, we produced two murine-derived mAbs (designated as 6E3 and 3F21) towards Zaire Ebola virus glycoprotein (GP), the major viral transmembrane spike protein associated with viral attachment. It was shown that 6E3 and 3F21 recognized GP1 and GP2 subunits of the GP respectively. Furthermore, 6E3 and 3F21 bound to corresponding epitopes on GP without reciprocal topographical interpretation. Subsequently, a sandwich ELISA based on the two mAbs were established and evaluated. The detection limit was 3.6?ng/ml, with a linear range of 3.6–100?ng/ml. More importantly, Ebola virus like particles (eVLPs) were able to be detected by this established virus detection measure.

Conclusions

We produced and characterized two murine-derived mAbs (designated as 6E3 and 3F21) towards Zaire Ebola virus glycoprotein (GP), and established a sandwich ELISA based on the mAbs. It was suggested that the sandwich ELISA provided an alternative method for specific and sensitive detection of Ebola virus in the field setting.

     

Real-time detection of Escherichia coli O157:H7 sequences using a circulating-flow system of quartz crystal microbalance

A DNA piezoelectric biosensing method for real-time detection of Escherichia coli O157:H7 in a circulating-flow system was developed in this study. Specific probes [a 30-mer oligonucleotide with or without additional 12 deoxythymidine 5′-monophosphate (12-dT)] for the detection of E. coli O157:H7 gene eaeA, synthetic oligonucleotide targets (30 and 104 mer) and PCR-amplified DNA fragments from the E. coli O157:H7 eaeA gene (104 bp), were used to evaluate the efficiency of the probe immobilization and hybridization with target DNA in the circulating-flow quartz crystal microbalance (QCM) device. It was found that thiol modification on the 5′-end of the probes was essential for probe immobilization on the gold surface of the QCM device. The addition of 12-dT to the probes as a spacer, significantly enhanced (P < 0.05) the hybridization efficiency (H%). The results indicate that the spacer enhanced the H% by 1.4- and 2-fold when the probes were hybridized with 30- and 104-mer targets, respectively. The spacer reduced steric interference of the support on the hybridization behavior of immobilized oligonucleotides, especially when the probes hybridized with relatively long oligonucleotide targets. The QCM system was also applied in the detection of PCR-amplified DNA from real samples of E. coli O157:H7. The resultant H% of the PCR-amplified double-strand DNA was comparable to that of the synthetic target T-104AS, a single-strand DNA. The piezoelectric biosensing system has potential for further applications. This approach lays the groundwork for incorporating the method into an integrated system for rapid PCR-based DNA analysis.     

A real‐time PCR assay for detection and quantification of Lactococcus garvieae

Aims: To develop a rapid, sensitive, specific tool for the detection and quantification of Lactococcus garvieae in food and environmental samples. Methods and Results: A real‐time quantitative PCR (qPCR) assay with primers for CAU12F and CAU12R based on the 16S rRNA gene of L. garvieae was successfully established. The limit of detection for L. garvieae genomic DNA was 1 ng DNA in conventional PCR and 32 fg with a mean C_T value of 36·75 in qPCR. Quantification of L. garvieae vegetative cells was linear (R² = 0·99) over a 7‐log‐unit dynamic range down to ten L. garvieae cells. Conclusions: This method is highly specific, sensitive and reproducible for the detection of L. garvieae compared to gel‐based conventional PCR assays, thus providing precise quantification of L. garvieae in food and natural environments. Significance and Impact of the Study: This work provides efficient diagnostic and monitoring tools for the rapid identification of L. garvieae, an emerging pathogen in aquaculture and an occasional human pathogen from other members of the genus Lactobacillus.     

Detection of the defoliating and nondefoliating pathotypes of <Emphasis Type="Italic">Verticillium dahliae</Emphasis> in artificial and natural soils by nested PCR

In Spain, Verticillium wilt, caused by Verticillium dahliae, is the most important disease of cotton and olive. Isolates of V. dahliae infecting these crops can be classified into highly virulent, defoliating (D), and mildly virulent, nondefoliating (ND), pathotypes. Infested soil is the primary source of inoculum for Verticillium wilt epidemics in cotton and olive, and severity of disease relates to the prevailing V.dahliae pathotype. In this work we have adapted the use of previously developed primer pairs specific for D and ND V. dahliae for the detection of these pathotypes by nested PCR in artificial and natural soils. Success in the detection procedure depends upon efficiency in extracting PCR-quality DNA from soil samples. We developed an efficient DNA extraction method from microsclerotia infesting the soil that includes the use of acid washed sand during the grinding process and skimmed milk to avoid co-purification of Taq-polymerase inhibitors with DNA. The specific nested-PCR procedure effectively detected 10 or more microsclerotia per gram of soil. The detection procedure has proven efficient when used with a naturally infested soil, thus demonstrating usefullness of the diagnostic method for rapid and accurate assessment of soil contamination by V. dahliae pathotypes.     

PCR-based detection of Phomopsis azadirachtae in die-back affected neem seeds

Abstract

Phomopsis azadirachtae Sateesh, Bhat & Devaki is the incitant of die-back disease of neem trees. Delayed appearance of conidia and presence of other microorganisms in the neem tissues are the obstacles in the rapid and accurate identification of P. azadirachtae. This work was carried out to develop a methodology for rapid detection of the pathogen in diseased tissues especially in the neem seeds. rDNA sequences of many Phomopsis spp. were retrieved from the database and were subjected for multiple alignment to select a 179 bp conserved sequence. This was used to design Phomopsis specific primer pair (Forward and Reverse) having the potential to produce a 154 bp product in PCR. The primer pair was utilised to detect the presence of P. azadirachtae in diseased neem seeds and other tissues. This is the first report on the PCR-based detection of P. azadirachtae directly in die-back diseased neem tissues. This method can be employed for rapid and reliable detection of P. azadirachtae in die-back affected neem seeds. Hence it will have very good application in seed health testing laboratories.     

Characterization of a methane‐utilizing strain and its application for monitoring methane

Aims: To explore new resources of methane‐utilizing micro‐organism and develop a microbial biosensing system for monitoring methane released from natural and semi‐natural ecosystems. Methods and Results: A methane (CH₄)‐utilizing bacterial strain was isolated from paddy soil using CH₄ as the sole carbon source and identified as Klebsiella sp. ME17 by phenotyping and 16S rDNA sequence analysis. The efficiency of CH₄ utilization of strain ME17 was 83·2% by gas chromatography analysis. A microbial biosensing system for CH₄ detection was developed by combining immobilized cells of strain ME17 with a dissolved oxygen sensor. It was found that response time of the system to CH₄ was <90s. The dissolved O₂ consumption increased with increasing CH₄ from 0% to 16·0% (v/v) demonstrating a positive linear relationship with a low detection limit of 0·2% (v/v). The relative standard deviation is 3·48%. Conclusions: Klebsiella sp. ME17 isolate is capable of utilizing CH₄. The microbial biosensing system of strain ME17 has been successfully applied to measure standard CH₄ sample with satisfactory results. Significance and Impact of the Study: This study suggests that certain strains of Klebsiella genus are capable of utilizing CH₄. Our proposed method appears very attractive for CH₄ measurement in coal mine.