Application of resequencing microarrays in microbial detection and characterization

Microarrays are powerful, highly parallel assays that are transforming microbiological diagnostics and research. The adaptation of microarray-based resequencing technology for microbial detection and characterization resulted in the development of a number assays that have unique advantages over other existing technologies. This technological platform seems to be especially useful for sensitive and high-resolution multiplexed diagnostics for clinical syndromes with similar symptoms, screening environmental samples for biothreat agents, as well as genotyping and whole-genome analysis of single pathogens.     

Development of antibody array for simultaneous detection of foodborne pathogens

Pathogenic bacterial contaminations present serious problems for food industry and public health. Rapid, accurate and affordable assays are needed. In this study, antibody arrays to simultaneously detect two foodborne pathogenic bacteria (Escherichia coli O157:H7 and Salmonella spp.) have been developed using chemiluminescent detecting system. Solid supports using nitrocellulose membrane and poly-l-lysine (PLL) glass slide were compared and optimized for antibody array construction. Many parameters including optimal concentrations of antibodies, blocking reagents, assay time, storage time, sensitivity and cross-reactivity were considered during optimization. This study revealed that the PLL slide was a more suitable support due to highly accurate results and the absence of non-specific background. Phosphate-buffered saline (PBS, pH 7.2) and 3% skim milk in PBS buffer were optimal spotting and blocking reagents, respectively. With the same sensitivity for bacterial detection as in a conventional ELISA (10(5)-10(6)CFU/ml for the E. coli O157:H7 and 10(6)-10(7)CFU/ml for Salmonella detections), this antibody array has advantages of a much shorter assay time of 1h and much lower required amounts of antibodies. Moreover, there was no cross-reactivity in the detection among bacteria tested in this study. Bacteria detection in food sample was feasible as demonstrated using bacteria-added milk.     

Application of a multiplex PCR for the detection of protozoan pathogens of the eastern oyster Crassostrea virginica in field samples

Populations of eastern oysters Crassostrea virginica along the east coast of North America have repeatedly experienced epizootic mass mortality due to infections by protozoan parasites, and molecular diagnostic methodologies are fast becoming more widely available for the diagnosis of protozoan diseases of oysters. In this study we applied a modified version of an existing multiplex polymerase chain reaction (PCR) for detection of the eastern oyster parasites Haplosporidium nelsoni, H. costale and Perkinsus marinus from field-collected samples. We incorporated primers for DNA quality control based on the large subunit ribosomal RNA (LSU rRNA) gene of C. virginica. The multiplex PCR (MPCR) simultaneously amplified genomic DNA of C. virginica, and cloned DNA of H. nelsoni, P. marinus and H. costale. In field trial applications, we compared the performance of the MPCR to that of the conventional diagnostic techniques of histopathological tissue examination and the Ray/Mackin fluid thioglycollate medium (RMFT) assay. A total of 530 oysters were sampled from 18 sites at 12 locations along the east coast of the United States from the Gulf of Mexico to southern New England. The modified MPCR detected 21% oysters with H. nelsoni, 2% oysters with H. costale, and 40% oysters with P. marinus infections. In comparison, histopathological examination detected H. nelsoni and H. costale infections in 6 and 0.8% oysters, respectively, and the RMFT assay detected P. marinus infection in 31% oysters. The MPCR is a more sensitive diagnostic assay for detection of H. nelsoni, H. costale, and P. marinus, and incorporation of an oyster quality control product limits false negative results.     

A new MSPQC system for rapid detection of pathogens in clinical samples

A new multi-channel series piezoelectric quartz crystal (MSPQC) system for detection of pathogens in clinical sample was proposed. Some factors, which affect the detection of pathogens by using MSPQC, were all investigated. A total of 650 clinical samples were detected by MSPQC and compared with licensed BACTEC 9120 system (Becton Dickinson Diagnostic Instrument Systems, Sparks, MD, USA) simultaneously in the Third Xiangya Hospital of Central South University, China. When the incubation period was 5 days, two systems had similar detected results: the MSPQC system detected 123 growth of 650 (18.92%) bottles while the BACTEC 9120 detected 125 growth of 650 (19.23%) bottles. The MSPQC had 2 false-positive signals and 2 false-negative signals. However, BACTEC 9120 had 3 false-positive signals and 0 false-negative signals. Further identifications of bacteria were run by VITEK-2 (bioMérieux China Ltd.), 5% sheep blood trypticase soy agar (SBA) and chocolate agar (CA). Comparing with BACTEC 9120, MSPQC system possesses following advantages: shorter average detection time, less blood volume needed, less false-positive results and low cost. It can also provide information in real time. So MSPQC has a wonderful perspective in clinical application.     

Comparison of conventional and molecular methods for the detection of bacterial pathogens in sputum samples from cystic fibrosis patients

The nature of the micro-flora present in sputa of six different cystic fibrosis (CF) patients was assessed using routine microbiological culture and molecular methods. Bacterial genes for the small subunit ribosomal RNA (ssu rDNA) were specifically amplified from DNA extracted from the sputum samples, cloned and characterised by hybridisation and DNA sequencing. A large number of clones from six sputa were screened. Initially, oligonucleotide hybridisation was performed with five probes, specific for Gram-positives and Gram-negatives in general and the main pathogens for the CF patient (Staphylococcus aureus, Pseudomonas aeruginosa and Haemophilus influenzae). For a single sputum sample, the results were fully congruent when culture and molecular methods were compared. In the other five sputa, discrepancies for S. aureus and/or H. influenzae were documented. Although S. aureus DNA and H. influenzae DNA was detected in three and four sputa, respectively, strains could not be cultured. Although the PCR approach is not capable of distinguishing viable from dead bacteria, all of the CF patients had a history of S. aureus infections, while one of the CF patients once had cultivable H. influenzae in the sputum as well. A number of clones for probe-unidentified Gram-negative or Gram-positive bacterial species were further analysed by sequencing and additional potential pathogens were identified. Although routine culture of sputum frequently points to mono-specific exacerbations, our molecular data indicate that the other CF-related pathogens appear to be persistently present as well. We conclude that routine culture for bacterial pathogens from CF sputa yields limited microbiological information since it frequently fails to identify a number of pathogenic bacterial species that are potentially present in a viable status in the lungs of these patients.     

Design and development of a DNA array for rapid detection and identification of multiple tomato vascular wilt pathogens

Fusarium wilt, caused by Fusarium oxysporum f. sp. lycopersici, and Verticillium wilt, caused by either Verticillium albo-atrum or Verticillium dahliae, are devastating diseases of tomato (Lycopersicon esculentum) found worldwide. Monitoring is the cornerstone of integrated pest management of any disease. The lack of rapid, accurate, and reliable means by which plant pathogens can be detected and identified is one of the main limitations in integrated disease management. In this paper, we describe the development of a molecular detection system, based on DNA array technology, for rapid and efficient detection of these vascular wilt pathogens. We show the utility of this array for the sensitive detection of these pathogens from complex substrates like soil, plant tissues and irrigation water, and samples that are collected by tomato growers in their greenhouses.     

The use of NASBA for the detection of microbial pathogens in food and environmental samples

The isothermal amplification method nucleic acid sequence-based amplification (NASBA), which amplifies RNA, has been reported as useful for the detection of microbial pathogens in food and environmental samples. Methods have been published for Campylobacter spp., Listeria monocytogenes and Salmonella enterica ser. Enteritidis in various foods and for Cryptosporidium parvum in water. Both 16S rRNA and various mRNAs have been used as target molecules for detection; the latter may have advantages in allowing specific detection of viable cells. Most of the methods to detect pathogens in foods have employed enrichment in nutrient medium prior to NASBA, as this can ensure sensitivity of detection and encourage the detection of only viable target cells. Although a relatively recent method, NASBA has the potential for adoption as a diagnostic tool for environmental pathogens.     

Application of broad-range 16S rRNA PCR amplification and DGGE fingerprinting for detection of tick-infecting bacteria

Ticks play an important role in the transmission of arthropod-borne diseases of viral, protozoal and bacterial origin. The present article describes a molecular-biological based method, which facilitated the broad-range analyses of bacterial communities in ixodid ticks (Ixodes ricinus). DNA was extracted both from single ticks and pooled adult ticks. Eubacterial 16S rRNA gene fragments (16S rDNA) were amplified by polymerase chain reaction (PCR) with broad-range ribosomal primers. Sequences spanning the hypervariable V3 region of the 16S rDNA and representing individual bacterial taxons were separated by denaturing gradient gel electrophoresis (DGGE). For phylogenetic identification, DGGE bands were exised, cloned and sequenced. In addition, we set up a 16S rDNA clone library which was screened by DGGE. Sequences were compared with sequences of known bacteria listed in the GenBank database. A number of bacteria were affiliated with the genera Rickettsia, Bartonella, and Borrelia, which are known to be pathogenic and transmitted by ticks. Two sequences were related to the yet to be cultivated Haemobartonella. To our knowledge, Haemobartonella has never been directly detected in I. ricinus. In addition, members of the genera Staphylococcus, Rhodococcus, Pseudomonas, and Moraxella were detected, which have not been identified in ticks so far. Two bacteria were most closely related to a rickettsial endosymbiont of an Acanthamoeba sp., and to an endosymbiont (Legionellaceae, Coxiella group) of the microarthropod Folsomia candida. The results prove that 16S rDNA genotyping in combination with DGGE analysis is a promising approach for the detection and identification of bacteria infecting ticks, regardless of whether these bacteria are fastidious, obligate intracellular or noncultivable.     

Application of bacteriophages for detection and control of foodborne pathogens

The incidence of foodborne infectious diseases is stable or has even increased in many countries. Consequently, our awareness regarding hygiene measures in food production has also increased dramatically over the last decades. However, even today’s modern production techniques and intensive food-monitoring programs have not been able to effectively control the problem. At the same time, increased production volumes are distributed to more consumers, and if contaminated, potentially cause mass epidemics. Accordingly, research directed to improve food safety has also been taken forward, also exploring novel methods and technologies. Such an approach is represented by the use of bacteriophage for specific killing of unwanted bacteria. The extreme specificity of phages renders them ideal candidates for applications designed to increase food safety during the production process. Phages are the natural enemies of bacteria, and can be used for biocontrol of bacteria without interfering with the natural microflora or the cultures in fermented products. Moreover, phages or phage-derived proteins can also be used to detect the presence of unwanted pathogens in food or the production environments, which allows quick and specific identification of viable cells. This review intends to briefly summarize and explain the principles and current standing of these approaches.     

Development of real-time PCR array for simultaneous detection of eight human blood-borne viral pathogens

Background

Real-time PCR array for rapid detection of multiple viral pathogens should be highly useful in cases where the sample volume and the time of testing are limited, i.e. in the eligibility testing of tissue and organ donors.

Findings

We developed a real-time PCR array capable of simultaneously detecting eight human viral pathogens: human immunodeficiency virus types 1 and 2 (HIV-1 and -2), hepatitis B virus (HBV), hepatitis C virus (HCV), human T-cell leukemia virus-1 and -2 (HTLV-1 and -2), vaccinia virus (VACV) and West Nile virus (WNV). One hundred twenty (120) primers were designed using a combination of bioinformatics approaches, and, after experimental testing, 24 primer sets targeting eight viral pathogens were selected to set up the array with SYBR Green chemistry. The specificity and sensitivity of the virus-specific primer sets selected for the array were evaluated using analytical panels with known amounts of viruses spiked into human plasma. The array detected: 10 genome equivalents (geq)/ml of HIV-2 and HCV, 50 geq of HIV-1 (subtype B), HBV (genotype A) and WNV. It detected 100–1,000 geq/ml of plasma of HIV-1 subtypes (A – G), group N and CRF (AE and AG) isolates. Further evaluation with a panel consisting of 28 HIV-1 and HIV-2 clinical isolates revealed no cross-reactivity of HIV-1 or HIV-2 specific primers with another type of HIV. All 28 viral isolates were identified with specific primer sets targeting the most conserved genome areas. The PCR array correctly identified viral infections in a panel of 17 previously quantified clinical plasma samples positive for HIV-1, HCV or HBV at as low as several geq per PCR reaction.

Conclusions

The viral array described here demonstrated adequate performance in the testing of donors’ clinical samples. Further improvement in its sensitivity for the broad spectrum of HIV-1 subtypes is under development.     

The microbial detection array combined with random Phi29-amplification used as a diagnostic tool for virus detection in clinical samples

A common technique used for sensitive and specific diagnostic virus detection in clinical samples is PCR that can identify one or several viruses in one assay. However, a diagnostic microarray containing probes for all human pathogens could replace hundreds of individual PCR-reactions and remove the need for a clear clinical hypothesis regarding a suspected pathogen. We have established such a diagnostic platform for random amplification and subsequent microarray identification of viral pathogens in clinical samples. We show that Phi29 polymerase-amplification of a diverse set of clinical samples generates enough viral material for successful identification by the Microbial Detection Array, demonstrating the potential of the microarray technique for broad-spectrum pathogen detection. We conclude that this method detects both DNA and RNA virus, present in the same sample, as well as differentiates between different virus subtypes. We propose this assay for diagnostic analysis of viruses in clinical samples.     

Direct and sensitive detection of foodborne pathogens within fresh produce samples using a field-deployable handheld device

Direct and sensitive detection of foodborne pathogens from fresh produce samples was accomplished using a handheld lab-on-a-chip device, requiring little to no sample processing and enrichment steps for a near-real-time detection and truly field-deployable device. The detection of Escherichia coli K12 and O157:H7 in iceberg lettuce was achieved utilizing optimized Mie light scatter parameters with a latex particle immunoagglutination assay. The system exhibited good sensitivity, with a limit of detection of 10 CFU mL(-1) and an assay time of <6 min. Minimal pretreatment with no detrimental effects on assay sensitivity and reproducibility was accomplished with a simple and cost-effective KimWipes filter and disposable syringe. Mie simulations were used to determine the optimal parameters (particle size d, wavelength λ, and scatter angle θ) for the assay that maximize light scatter intensity of agglutinated latex microparticles and minimize light scatter intensity of the tissue fragments of iceberg lettuce, which were experimentally validated. This introduces a powerful method for detecting foodborne pathogens in fresh produce and other potential sample matrices. The integration of a multi-channel microfluidic chip allowed for differential detection of the agglutinated particles in the presence of the antigen, revealing a true field-deployable detection system with decreased assay time and improved robustness over comparable benchtop systems. Additionally, two sample preparation methods were evaluated through simulated field studies based on overall sensitivity, protocol complexity, and assay time. Preparation of the plant tissue sample by grinding resulted in a two-fold improvement in scatter intensity over washing, accompanied with a significant increase in assay time: ～5 min (grinding) versus ～1 min (washing). Specificity studies demonstrated binding of E. coli O157:H7 EDL933 to only O157:H7 antibody conjugated particles, with no cross-reactivity to K12. This suggests the adaptability of the system for use with a wide variety of pathogens, and the potential to detect in a variety of biological matrices with little to no sample pretreatment.     

High‐throughput genomics in sorghum: from whole‐genome resequencing to a SNP screening array

With its small, diploid and completely sequenced genome, sorghum (Sorghum bicolor L. Moench) is highly amenable to genomics‐based breeding approaches. Here, we describe the development and testing of a robust single‐nucleotide polymorphism (SNP) array platform that enables polymorphism screening for genome‐wide and trait‐linked polymorphisms in genetically diverse S. bicolor populations. Whole‐genome sequences with 6× to 12× coverage from five genetically diverse S. bicolor genotypes, including three sweet sorghums and two grain sorghums, were aligned to the sorghum reference genome. From over 1 million high‐quality SNPs, we selected 2124 Infinium Type II SNPs that were informative in all six source genomes, gave an optimal Assay Design Tool (ADT) score, had allele frequencies of 50% in the six genotypes and were evenly spaced throughout the S. bicolor genome. Furthermore, by phenotype‐based pool sequencing, we selected an additional 876 SNPs with a phenotypic association to early‐stage chilling tolerance, a key trait for European sorghum breeding. The 3000 attempted bead types were used to populate half of a dual‐species Illumina iSelect SNP array. The array was tested using 564 Sorghum spp. genotypes, including offspring from four unrelated recombinant inbred line (RIL) and F₂ populations and a genetic diversity collection. A high call rate of over 80% enabled validation of 2620 robust and polymorphic sorghum SNPs, underlining the efficiency of the array development scheme for whole‐genome SNP selection and screening, with diverse applications including genetic mapping, genome‐wide association studies and genomic selection.     

Quantitative PCR method for detection of mycoplasma spp. DNA in nasal lavage samples from the desert tortoise (Gopherus agassizii)

Mycoplasma agassizii and M. testudineum have been associated with upper respiratory tract disease (URTD) in the threatened desert tortoise (Gopherus agassizii). Because microbiological culture methods have proven difficult to employ in wild desert tortoises, our goal was to develop a sensitive and specific qPCR method for detecting and quantifying mycoplasma DNA in nasal lavage fluid collected in the field. Primers for 16S ribosomal RNA gene sequences specific for M. agassizii and M. testudineum were designed, together with primers that recognize conserved sequences of both microorganisms. Standard curves generated with DNA extracted from known numbers of mycoplasma cells revealed a lower detection limit of approximately 5 fg. The qPCR method did not recognize normal flora DNA, and nasal lavage fluid contained no interfering substances. Nasal lavage samples collected from 20 captive desert tortoises housed at the Desert Tortoise Conservation Center (Clark County, Nevada, USA) revealed the presence of M. agassizii DNA in 100% of the tortoises. Concentrations ranged from a low of 6 pg ml^− 1 to a high of 72,962 pg ml^− 1. Only one of the tortoises was positive for M. testudineum. Interestingly, not all of the qPCR positive tortoises showed evidence of seroconversion, suggesting that they were colonized but not infected. This new quantitative method will provide a critical tool for managing threatened populations of the desert tortoise.     

Evaluation of a shortened QIAsymphony DNA extraction protocol for stool samples using a multiplex real-time PCR for the detection of enteric pathogens

A shortened DNA extraction protocol for the QIAsymphony SP was evaluated by quantitative and qualitative comparison of real-time PCR results of 150 co-extracted stool samples. The average ?Cycle threshold value for positive pathogenic targets was 0.28 Ct. A consensus of 96.91%, with a correlation coefficient of 0.9880 was recorded.     

噬菌体及其裂解酶在食源性致病菌检测和控制中的应用

微生物致病菌引起的食源性疾病在全世界频频发生,对人类健康造成严重危害,尤其是致病菌耐药性的出现使常规治疗陷入困境。噬菌体及其编码的裂解酶的发现及应用,为食源性致病菌的检测及生物防治开辟了新的途径。综述噬菌体及其裂解酶在构建食源性致病菌的快速检测方法和生物防治方面的应用。     

新生儿血培养阳性病原菌分布及耐药状况分析

目的了解本院新生儿血培养阳性标本病原菌分布情况及主要病原菌的耐药特点,为临床合理治疗提供依据。方法对我院新生儿科4 750例患儿入院时行血培养,并以VITEK32全自动微生物分析仪进行菌株鉴定,K-B法进行药敏试验。结果共分离出病原菌617株,其中革兰阳性菌382株(61.91%),前三位为凝固酶阴性葡萄球菌(41.49%)、金黄色葡萄球菌(7.94%)和肠球菌属(6.00%),革兰阴性菌216株(35.01%),前四位为大肠埃希菌(12.97%)、肺炎克雷伯菌(9.08%)、粘质沙雷菌(5.51%)和阴沟肠杆菌(4.86%),真菌19株(3.08%)。药敏结果显示主要革兰阳性菌对青霉素G耐药率90%,对利福平和呋喃妥因的耐药率较低,未检出耐利奈唑烷和万古霉素菌株。主要革兰阴性菌对阿米卡星、左氧氟沙星、哌拉西林/他唑巴坦和头孢哌酮/舒巴坦耐药率较低,未检出耐亚胺培南、美罗培南和替加环素菌株。结论本院新生儿血培养病原菌以革兰阳性菌为主,凝固酶阴性葡萄球菌是主要病原菌,并且耐药率较高。