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Ziaei Chamgordani S, Yadegar A, Ghourchian H. C. difficile biomarkers, pathogenicity and detection. Clin Chim Acta 2024; 558:119674. [PMID: 38621586 DOI: 10.1016/j.cca.2024.119674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 04/12/2024] [Accepted: 04/12/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Clostridioides difficile infection (CDI) is the main etiologic agent of antibiotic-associated diarrhea. CDI contributes to gut inflammation and can lead to disruption of the intestinal epithelial barrier. Recently, the rate of CDI cases has been increased. Thus, early diagnosis of C. difficile is critical for controlling the infection and guiding efficacious therapy. APPROACH A search strategy was set up using the terms C. difficile biomarkers and diagnosis. The found references were classified into two general categories; conventional and advanced methods. RESULTS The pathogenicity and biomarkers of C. difficile, and the collection manners for CDI-suspected specimens were briefly explained. Then, the conventional CDI diagnostic methods were subtly compared in terms of duration, level of difficulty, sensitivity, advantages, and disadvantages. Thereafter, an extensive review of the various newly proposed techniques available for CDI detection was conducted including nucleic acid isothermal amplification-based methods, biosensors, and gene/single-molecule microarrays. Also, the detection mechanisms, pros and cons of these methods were highlighted and compared with each other. In addition, approximately complete information on FDA-approved platforms for CDI diagnosis was collected. CONCLUSION To overcome the deficiencies of conventional methods, the potential of advanced methods for C. difficile diagnosis, their direction, perspective, and challenges ahead were discussed.
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Affiliation(s)
- Sepideh Ziaei Chamgordani
- Laboratory of Bioanalysis, Institute of Biochemistry & Biophysics, University of Tehran, Tehran, Iran
| | - Abbas Yadegar
- Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Hedayatollah Ghourchian
- Laboratory of Bioanalysis, Institute of Biochemistry & Biophysics, University of Tehran, Tehran, Iran.
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2
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Chaudhary N, Salgotra RK, Chauhan BS. Genetic Enhancement of Cereals Using Genomic Resources for Nutritional Food Security. Genes (Basel) 2023; 14:1770. [PMID: 37761910 PMCID: PMC10530810 DOI: 10.3390/genes14091770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/04/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
Advances in genomics resources have facilitated the evolution of cereal crops with enhanced yield, improved nutritional values, and heightened resistance to various biotic and abiotic stresses. Genomic approaches present a promising avenue for the development of high-yielding varieties, thereby ensuring food and nutritional security. Significant improvements have been made within the omics domain, specifically in genomics, transcriptomics, and proteomics. The advent of Next-Generation Sequencing (NGS) techniques has yielded an immense volume of data, accompanied by substantial progress in bioinformatic tools for proficient analysis. The synergy between genomics and computational tools has been acknowledged as pivotal for unravelling the intricate mechanisms governing genome-wide gene regulation. Within this review, the essential genomic resources are delineated, and their harmonization in the enhancement of cereal crop varieties is expounded upon, with a paramount focus on fulfilling the nutritional requisites of humankind. Furthermore, an encompassing compendium of the available genomic resources for cereal crops is presented, accompanied by an elucidation of their judicious utilization in the advancement of crop attributes.
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Affiliation(s)
- Neeraj Chaudhary
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha, Jammu 180009, Jammu and Kashmir, India; (N.C.); (R.K.S.)
| | - Romesh Kumar Salgotra
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha, Jammu 180009, Jammu and Kashmir, India; (N.C.); (R.K.S.)
| | - Bhagirath Singh Chauhan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Gatton, QLD 4343, Australia
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3
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Bioinformatics and Microarray-Based Technologies to Viral Genome Sequence Analysis. MICROBIAL GENOMICS IN SUSTAINABLE AGROECOSYSTEMS 2019. [PMCID: PMC7121691 DOI: 10.1007/978-981-13-8739-5_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Identification of microbial pathogen is an important event which lead to diagnosis, treatment, and control of infections produce by them. The high-throughput technology like microarray and new-generation sequencing machine are able to generate huge amount of nucleotide sequences of viral and bacterial genome of both known and unknown pathogens. Few years ago it was the DNA microarrays which had great potential to screen all the known pathogens and yet to be identified pathogen simultaneously. But after the development of a new generation sequencing, technologies and advance computational approach researchers are looking forward for a complete understanding of microbes and host interactions. The powerful sequencing platform is rapidly transforming the landscape of microbial identification and characterization. As bioinformatics analysis tools and databases are easily available to researchers, the enormous amount of data generated can be meaningfully handled for better understanding of the microbial world. Here in this chapter, we present commentary on how the computational method incorporated with sequencing technique made easy for microbial detection and characterization.
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Bannister SA, Kidd SP, Kirby E, Shah S, Thomas A, Vipond R, Elmore MJ, Telfer Brunton A, Marsh P, Green S, Silman NJ, Kempsell KE. Development and Assessment of a Diagnostic DNA Oligonucleotide Microarray for Detection and Typing of Meningitis-Associated Bacterial Species. High Throughput 2018; 7:ht7040032. [PMID: 30332776 PMCID: PMC6306750 DOI: 10.3390/ht7040032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 09/11/2018] [Accepted: 09/21/2018] [Indexed: 02/03/2023] Open
Abstract
Meningitis is commonly caused by infection with a variety of bacterial or viral pathogens. Acute bacterial meningitis (ABM) can cause severe disease, which can progress rapidly to a critical life-threatening condition. Rapid diagnosis of ABM is critical, as this is most commonly associated with severe sequelae with associated high mortality and morbidity rates compared to viral meningitis, which is less severe and self-limiting. We have designed a microarray for detection and diagnosis of ABM. This has been validated using randomly amplified DNA targets (RADT), comparing buffers with or without formamide, in glass slide format or on the Alere ArrayTubeTM (Alere Technologies GmbH) microarray platform. Pathogen-specific signals were observed using purified bacterial nucleic acids and to a lesser extent using patient cerebral spinal fluid (CSF) samples, with some technical issues observed using RADT and glass slides. Repurposing the array onto the Alere ArrayTubeTM platform and using a targeted amplification system increased specific and reduced nonspecific hybridization signals using both pathogen nucleic and patient CSF DNA targets, better revealing pathogen-specific signals although sensitivity was still reduced in the latter. This diagnostic microarray is useful as a laboratory diagnostic tool for species and strain designation for ABM, rather than for primary diagnosis.
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Affiliation(s)
| | - Stephen P Kidd
- Public Health England, Porton Down, Salisbury SP4 0JG, UK.
| | | | - Sonal Shah
- Public Health England, Porton Down, Salisbury SP4 0JG, UK.
| | - Anvy Thomas
- Public Health England, Porton Down, Salisbury SP4 0JG, UK.
| | - Richard Vipond
- Public Health England, Porton Down, Salisbury SP4 0JG, UK.
| | | | - Andrew Telfer Brunton
- Department of Clinical Microbiology, Royal Cornwall Hospitals NHS Trust, Penventinnie Lane, Treliske, Truro, Cornwall TR1 3LQ, UK.
| | - Peter Marsh
- Public Health England Laboratory Southampton, Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK.
| | - Steve Green
- Public Health England Laboratory Southampton, Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK.
| | - Nigel J Silman
- Public Health England, Porton Down, Salisbury SP4 0JG, UK.
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5
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Rizzi G, Dufva M, Hansen MF. Two-dimensional salt and temperature DNA denaturation analysis using a magnetoresistive sensor. LAB ON A CHIP 2017; 17:2256-2263. [PMID: 28593203 DOI: 10.1039/c7lc00485k] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
We present a microfluidic system and its use to measure DNA denaturation curves by varying the temperature or salt (Na+) concentration. The readout is based on real-time measurements of DNA hybridization using magnetoresistive sensors and magnetic nanoparticles (MNPs) as labels. We report the first melting curves of DNA hybrids measured as a function of continuously decreasing salt concentration at fixed temperature and compare them to the corresponding curves obtained vs. temperature at fixed salt concentration. The magnetoresistive sensor platform provided reliable results under varying temperature as well as salt concentration. The salt concentration melting curves were found to be more reliable than temperature melting curves. We performed a two-dimensional mapping of the melting profiles of a target to probes targeting its wild type (WT) and mutant type (MT) variants in the temperature-salt concentration plane. This map clearly showed a region of optimum ability to differentiate between the two variants. We finally demonstrated single nucleotide polymorphysm (SNP) genotyping using both denaturation methods on both separate sensors but also using a differential measurement on a single sensor. The results demonstrate that concentration melting provides an attractive alternative to temperature melting in on-chip DNA denaturation experiments and further show that the magnetoresistive platform is attractive due to its low cross-sensitivity to temperature and liquid composition.
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Affiliation(s)
- Giovanni Rizzi
- Department of Micro- and Nanotechnology, DTU Nanotech, Building 345B, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
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6
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Srinivasan V, Stedtfeld RD, Tourlousse DM, Baushke SW, Xin Y, Miller SM, Pham T, Rouillard JM, Gulari E, Tiedje JM, Hashsham SA. Diagnostic microarray for 14 water and foodborne pathogens using a flatbed scanner. J Microbiol Methods 2017; 139:15-21. [PMID: 28438642 DOI: 10.1016/j.mimet.2017.04.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 04/20/2017] [Accepted: 04/20/2017] [Indexed: 02/06/2023]
Abstract
Parallel detection approaches are of interest to many researchers interested in identifying multiple water and foodborne pathogens simultaneously. Availability and cost-effectiveness are two key factors determining the usefulness of such approaches for laboratories with limited resources. In this study, we developed and validated a high-density microarray for simultaneous screening of 14 bacterial pathogens using an approach that employs gold labeling with silver enhancement (GLS) protocol. In total, 8887 probes (50-mer) were designed using an in-house database of virulence and marker genes (VMGs), and synthesized in quadruplicate on glass slides using an in-situ synthesis technology. Target VMG amplicons were obtained using multiplex polymerase chain reaction (PCR), labeled with biotin, and hybridized to the microarray. The signals generated after gold deposition and silver enhancement, were quantified using a flatbed scanner having 2-μm resolution. Data analysis indicated that reliable presence/absence calls could be made, if: i) over four probes were used per gene, ii) the signal-to-noise ratio (SNR) cutoff was greater than or equal to two, and iii) the positive fraction (PF), i.e., number of probes with SNR≥2 for a given VMG was greater than 0.75. Hybridization of the array with blind samples resulted in 100% correct calls, and no false positive. Because amplicons were obtained by multiplex PCR, sensitivity of this method is similar to PCR. This assay is an inexpensive and reliable technique for high throughput screening of multiple pathogens.
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Affiliation(s)
- Vidya Srinivasan
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States
| | - Robert D Stedtfeld
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States
| | - Dieter M Tourlousse
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States
| | - Samuel W Baushke
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States
| | - Yu Xin
- Department of Environmental Engineering, Nanjing University, China
| | - Sarah M Miller
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States
| | - Trinh Pham
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - Jean-Marie Rouillard
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - Erdogan Gulari
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - James M Tiedje
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States
| | - Syed A Hashsham
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States.
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7
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Vidic J, Manzano M, Chang CM, Jaffrezic-Renault N. Advanced biosensors for detection of pathogens related to livestock and poultry. Vet Res 2017; 48:11. [PMID: 28222780 PMCID: PMC5320782 DOI: 10.1186/s13567-017-0418-5] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 01/23/2017] [Indexed: 01/01/2023] Open
Abstract
Infectious animal diseases caused by pathogenic microorganisms such as bacteria and viruses threaten the health and well-being of wildlife, livestock, and human populations, limit productivity and increase significantly economic losses to each sector. The pathogen detection is an important step for the diagnostics, successful treatment of animal infection diseases and control management in farms and field conditions. Current techniques employed to diagnose pathogens in livestock and poultry include classical plate-based methods and conventional biochemical methods as enzyme-linked immunosorbent assays (ELISA). These methods are time-consuming and frequently incapable to distinguish between low and highly pathogenic strains. Molecular techniques such as polymerase chain reaction (PCR) and real time PCR (RT-PCR) have also been proposed to be used to diagnose and identify relevant infectious disease in animals. However these DNA-based methodologies need isolated genetic materials and sophisticated instruments, being not suitable for in field analysis. Consequently, there is strong interest for developing new swift point-of-care biosensing systems for early detection of animal diseases with high sensitivity and specificity. In this review, we provide an overview of the innovative biosensing systems that can be applied for livestock pathogen detection. Different sensing strategies based on DNA receptors, glycan, aptamers and antibodies are presented. Besides devices still at development level some are validated according to standards of the World Organization for Animal Health and are commercially available. Especially, paper-based platforms proposed as an affordable, rapid and easy to perform sensing systems for implementation in field condition are included in this review.
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Affiliation(s)
- Jasmina Vidic
- Virologie et Immunologie Moléculaires, UR892, INRA, Paris Saclay University, 78350 Jouy-en-Josas, France
| | - Marisa Manzano
- Dipartimento di Scienze AgroAlimentari, Ambientali e Animali, Università di Udine, 33100 Udine, Italy
| | - Chung-Ming Chang
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Tao-Yuan, 33302 Taiwan
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8
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Improving the microbial community reconstruction at the genus level by multiple 16S rRNA regions. J Theor Biol 2016; 398:1-8. [DOI: 10.1016/j.jtbi.2016.03.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 03/09/2016] [Accepted: 03/10/2016] [Indexed: 12/30/2022]
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9
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Degefu Y, Somervuo P, Aittamaa M, Virtanen E, Valkonen JPT. Evaluation of a diagnostic microarray for the detection of major bacterial pathogens of potato from tuber samples. ACTA ACUST UNITED AC 2016. [DOI: 10.1111/epp.12263] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Y. Degefu
- Green Technology, Plant and Animal Genetics; Natural Resources Institute Finland; University of Oulu; PO Box 413¸ Paavo Havaksen tie 3 Oulu 90014 Finland
| | - P. Somervuo
- Institutes of Biotechnology; University of Helsinki; Viikinkaari 1, PO Box 65 Helsinki 00014 Finland
| | - M. Aittamaa
- Department of Agricultural Sciences; University of Helsinki; Latokartanonkaari 7, PO Box 27 Helsinki 00014 Finland
| | - E. Virtanen
- Green Technology, Plant and Animal Genetics; Natural Resources Institute Finland; University of Oulu; PO Box 413¸ Paavo Havaksen tie 3 Oulu 90014 Finland
| | - J. P. T. Valkonen
- Department of Agricultural Sciences; University of Helsinki; Latokartanonkaari 7, PO Box 27 Helsinki 00014 Finland
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10
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Hardick J, Woelfel R, Gardner W, Ibrahim S. Sequencing ebola and marburg viruses genomes using microarrays. J Med Virol 2016; 88:1303-8. [PMID: 26822839 DOI: 10.1002/jmv.24487] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/21/2016] [Indexed: 01/11/2023]
Abstract
Periodic outbreaks of Ebola and Marburg hemorrhagic fevers have occurred in Africa over the past four decades with case fatality rates reaching as high as 90%. The latest Ebola outbreak in West Africa in 2014 raised concerns that these infections can spread across continents and pose serious health risks. Early and accurate identification of the causative agents is necessary to contain outbreaks. In this report, we describe sequencing-by-hybridization (SBH) technique using high density microarrays to identify Ebola and Marburg viruses. The microarrays were designed to interrogate the sequences of entire viral genomes, and were evaluated with three species of Ebolavirus (Reston, Sudan, and Zaire), and three strains of Marburgvirus (Angola, Musoke, and Ravn). The results showed that the consensus sequences generated with four or more hybridizations had 92.1-98.9% accuracy over 95-99% of the genomes. Additionally, with SBH microarrays it was possible to distinguish between different strains of the Lake Victoria Marburgvirus. J. Med. Virol. 88:1303-1308, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Justin Hardick
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Roman Woelfel
- Bundeswehr Institute of Microbiology, Munich, Germany
| | - Warren Gardner
- United States Army Research Development and Engineering Command, Edgewood Chemical Biological Center, Aberdeen Proving Ground, Maryland
| | - Sofi Ibrahim
- United States Army Research Development and Engineering Command, Edgewood Chemical Biological Center, Aberdeen Proving Ground, Maryland
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11
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Parisot N, Peyretaillade E, Dugat-Bony E, Denonfoux J, Mahul A, Peyret P. Probe Design Strategies for Oligonucleotide Microarrays. Methods Mol Biol 2016; 1368:67-82. [PMID: 26614069 DOI: 10.1007/978-1-4939-3136-1_6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Oligonucleotide microarrays have been widely used for gene detection and/or quantification of gene expression in various samples ranging from a single organism to a complex microbial assemblage. The success of a microarray experiment, however, strongly relies on the quality of designed probes. Consequently, probe design is of critical importance and therefore multiple parameters should be considered for each probe in order to ensure high specificity, sensitivity, and uniformity as well as potentially quantitative power. Moreover, to assess the complete gene repertoire of complex biological samples such as those studied in the field of microbial ecology, exploratory probe design strategies must be also implemented to target not-yet-described sequences. To design such probes, two algorithms, KASpOD and HiSpOD, have been developed and they are available via two user-friendly web services. Here, we describe the use of this software necessary for the design of highly effective probes especially in the context of microbial oligonucleotide microarrays by taking into account all the crucial parameters.
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Affiliation(s)
- Nicolas Parisot
- Université d'Auvergne, EA 4678, CIDAM, Clermont Université, BP 10448, F-63000, Clermont-Ferrand, France
| | - Eric Peyretaillade
- Université d'Auvergne, EA 4678, CIDAM, Clermont Université, BP 10448, F-63000, Clermont-Ferrand, France
| | - Eric Dugat-Bony
- Génie et Microbiologie des Procédés Alimentaires, Centre de Biotechnologies Agro-Industrielles, INRA, AgroParisTech, UMR 782, Thiverval-Grignon, France
| | - Jérémie Denonfoux
- Genomic Platform and R&D, Genoscreen, Campus de l'Institut Pasteur, Lille, France
| | | | - Pierre Peyret
- Université d'Auvergne, EA 4678, CIDAM, Clermont Université, BP 10448, F-63000, Clermont-Ferrand, France.
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12
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Chemiluminescence microarrays in analytical chemistry: a critical review. Anal Bioanal Chem 2014; 406:5589-612. [DOI: 10.1007/s00216-014-7968-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Revised: 05/14/2014] [Accepted: 06/12/2014] [Indexed: 12/26/2022]
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13
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Park KS, Kim JY, Ki CS, Lee NY. Comparison of the digene HPV genotyping LQ test and the PANArray HPV genotyping chip for detection of high-risk or probable high-risk human papillomavirus genotypes. Ann Lab Med 2014; 34:279-85. [PMID: 24982832 PMCID: PMC4071184 DOI: 10.3343/alm.2014.34.4.279] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2013] [Revised: 09/23/2013] [Accepted: 02/05/2014] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND We evaluated the performance of two different array-based techniques, a bead-based multiplex genotyping method (LQ; digene HPV Genotyping LQ Test, QIAGEN, Germany) and a DNA chip-based method using peptide nucleic acid probes (PANArray; PANArray HPV Genotyping Chip, Panagene, Korea), for detection of human papillomavirus (HPV) and genotyping of high-risk (HR) or probable high-risk (PHR) HPVs in healthy patients who visited a health-promotion center. METHODS We obtained 508 unselected, consecutive cervicovaginal swab specimens. All specimens were examined by using the PANArray and LQ tests. All HPV-positive samples were then analyzed by multiplex PCR and direct sequencing. RESULTS The LQ test detected 47 HPV-positive cases (9.3%) with HR or PHR genotypes and the PANArray test identified 36 cases (7.1%). When the results of LQ and PANArray were compared by using comprehensive genotyping (integrated interpretation of the results of LQ, PANArray, multiplex PCR, and direct sequencing) for the detection of HR or PHR genotypes, the kappa values were 0.44 and 0.30 for LQ and PANArray, respectively. In comparison to comprehensive genotyping, the LQ test yielded 53 (60.0%) concordant and 12 (13.5%) compatible results, and the PANArray yielded 36 (40.4%) concordant and three (3.4%) compatible results. CONCLUSIONS The results of the LQ test had higher concordance and/or greater compatibility with those of comprehensive genotyping for the detection of HR or PHR genotypes than those of the PANArray test.
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Affiliation(s)
- Kyung Sun Park
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ji-Youn Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chang-Seok Ki
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Nam Yong Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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14
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Jaziri F, Parisot N, Abid A, Denonfoux J, Ribière C, Gasc C, Boucher D, Brugère JF, Mahul A, Hill DRC, Peyretaillade E, Peyret P. PhylOPDb: a 16S rRNA oligonucleotide probe database for prokaryotic identification. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2014; 2014:bau036. [PMID: 24771669 PMCID: PMC4000467 DOI: 10.1093/database/bau036] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
In recent years, high-throughput molecular tools have led to an exponential growth of available 16S rRNA gene sequences. Incorporating such data, molecular tools based on target-probe hybridization were developed to monitor microbial communities within complex environments. Unfortunately, only a few 16S rRNA gene-targeted probe collections were described. Here, we present PhylOPDb, an online resource for a comprehensive phylogenetic oligonucleotide probe database. PhylOPDb provides a convivial and easy-to-use web interface to browse both regular and explorative 16S rRNA-targeted probes. Such probes set or subset could be used to globally monitor known and unknown prokaryotic communities through various techniques including DNA microarrays, polymerase chain reaction (PCR), fluorescent in situ hybridization (FISH), targeted gene capture or in silico rapid sequence identification. PhylOPDb contains 74 003 25-mer probes targeting 2178 genera including Bacteria and Archaea. Database URL: http://g2im.u-clermont1.fr/phylopdb/
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Affiliation(s)
- Faouzi Jaziri
- Clermont Université, Université d'Auvergne, EA 4678 CIDAM, BP 10448, F-63001 Clermont-Ferrand, France, UMR CNRS 6158, ISIMA/LIMOS, Clermont Université, Université Blaise Pascal, F-63173 Aubière, France, CNRS, UMR 6023, LMGE, F-63171 Aubière, France and Clermont Université, CRRI, F-63177 Aubière, France
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15
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Mehta CM, Palni U, Franke-Whittle IH, Sharma AK. Compost: its role, mechanism and impact on reducing soil-borne plant diseases. WASTE MANAGEMENT (NEW YORK, N.Y.) 2014; 34:607-22. [PMID: 24373678 DOI: 10.1016/j.wasman.2013.11.012] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2013] [Revised: 11/28/2013] [Accepted: 11/28/2013] [Indexed: 05/14/2023]
Abstract
Soil-borne plant pathogens are responsible for causing many crop plant diseases, resulting in significant economic losses. Compost application to agricultural fields is an excellent natural approach, which can be taken to fight against plant pathogens. The application of organic waste products is also an environmentally friendly alternative to chemical use, which unfortunately is the most common approach in agriculture today. This review analyses pioneering and recent compost research, and also the mechanisms and mode of action of compost microbial communities for reducing the activity of plant pathogens in agricultural crops. In addition, an approach for improving the quality of composts through the microbial communities already present in the compost is presented. Future agricultural practices will almost definitely require integrated research strategies to help combat plant diseases.
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Affiliation(s)
- C M Mehta
- Department of Biological Sciences, College of Basic Science and Humanities, G. B. P. U. A. & T. Pantnagar, U.S. Nagar, Uttarakhand, India; Department of Botany, D.S.B. Campus, Kumaun University Nainital, Uttarakhand, India
| | - Uma Palni
- Department of Botany, D.S.B. Campus, Kumaun University Nainital, Uttarakhand, India
| | - I H Franke-Whittle
- Leopold-Franzens University, Institute of Microbiology, Technikerstraße 25, 6020 Innsbruck, Austria
| | - A K Sharma
- Department of Biological Sciences, College of Basic Science and Humanities, G. B. P. U. A. & T. Pantnagar, U.S. Nagar, Uttarakhand, India.
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16
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Andresen D, Nickisch-Rosenegk MV, Bier FF. Helicase-dependent amplification: use in OnChip amplification and potential for point-of-care diagnostics. Expert Rev Mol Diagn 2014; 9:645-50. [DOI: 10.1586/erm.09.46] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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17
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Bissonnette L, Bergeron MG. Next revolution in the molecular theranostics of infectious diseases: microfabricated systems for personalized medicine. Expert Rev Mol Diagn 2014; 6:433-50. [PMID: 16706745 DOI: 10.1586/14737159.6.3.433] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The molecular diagnosis of infectious diseases is currently going through a revolution sustained by the regulatory approval of amplification tests that have been shown to be equivalent or superior to existing gold standard methods. The recent approval of a microarray system for the pharmacogenomic profiling of cytochrome P450-mediated drug metabolism is paving the way to novel, rapid, sensitive, robust and economical microfabricated systems for point-of-care diagnostics, which are utilized closer and closer to the patient's bedside. These systems will enable the multiparametric genetic evaluation of several medical conditions, including infectious diseases. This forecoming revolution will position molecular theranostics in a broader integrated view of personalized medicine, which exploits genetic information from microbes and human hosts to optimize patient management and disease treatment.
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Affiliation(s)
- Luc Bissonnette
- Département de Biologie Médicale (Microbiologie), Faculté de Médecine, Université Laval, Québec City, Canada.
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Brugère JF, Mihajlovski A, Missaoui M, Peyret P. Tools for stools: the challenge of assessing human intestinal microbiota using molecular diagnostics. Expert Rev Mol Diagn 2014; 9:353-65. [DOI: 10.1586/erm.09.16] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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19
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Dittami SM, Edvardsen B. GPR-Analyzer: a simple tool for quantitative analysis of hierarchical multispecies microarrays. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2013; 20:6808-6815. [PMID: 22767354 DOI: 10.1007/s11356-012-1051-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Accepted: 06/21/2012] [Indexed: 06/01/2023]
Abstract
Monitoring of marine microalgae is important to predict and manage harmful algae blooms. It currently relies mainly on light-microscopic identification and enumeration of algal cells, yet several molecular tools are currently being developed to complement traditional methods. MIcroarray Detection of Toxic ALgae (MIDTAL) is an FP7-funded EU project aiming to establish a hierarchical multispecies microarray as one of these tools. Prototype arrays are currently being tested with field samples, yet the analysis of the large quantities of data generated by these arrays presents a challenge as suitable analysis tools or protocols are scarce. This paper proposes a two-part protocol for the analysis of the MIDTAL and other hierarchical multispecies arrays: Signal-to-noise ratios can be used to determine the presence or absence of signals and to identify potential false-positives considering parallel and hierarchical probes. In addition, normalized total signal intensities are recommended for comparisons between microarrays and in order to relate signals for specific probes to cell concentrations using external calibration curves. Hybridization- and probe-specific detection limits can be calculated to help evaluate negative results. The suggested analyses were implemented in "GPR-Analyzer", a platform-independent and graphical user interface-based application, enabling non-specialist users to quickly and quantitatively analyze hierarchical multispecies microarrays. It is available online at http://folk.uio.no/edvardse/gpranalyzer .
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Affiliation(s)
- Simon M Dittami
- Marine Biology, Department of Biology, University of Oslo, P.O. Box 1066, Blindern, 0316, Oslo, Norway,
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Abstract
Influenza viruses cause recurring epidemic outbreaks every year associated with high morbidity and mortality. Despite extensive research and surveillance efforts to control influenza outbreaks, the primary mitigation treatment for influenza is the development of yearly vaccine mixes targeted for the most prevalent virus strains. Consequently, the focus of many detection technologies has evolved toward accurate identification of subtype and understanding the evolution and molecular determinants of novel and pathogenic forms of influenza. The recent availability of potential antiviral treatments are only effective if rapid and accurate diagnostic tests for influenza epidemic management are available; thus, early detection of influenza infection is still important for prevention, containment, patient management, and infection control. This review discusses the current and emerging technologies for detection and strain identification of influenza virus and their specific gene targets, as well as their implications in patient management.
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Affiliation(s)
- Anthony P Malanoski
- Center for Bio/Molecular Science and Engineering, U. S. Naval Research Laboratory, 4555 Overlook Avenue, S. W., Code 6900, Washington, DC, 20375, USA
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A New Generation Microarray for the Simultaneous Detection and Identification of Yersinia pestis and Bacillus anthracis in Food. J Pathog 2012; 2012:627036. [PMID: 23125935 PMCID: PMC3483683 DOI: 10.1155/2012/627036] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2012] [Revised: 08/02/2012] [Accepted: 08/05/2012] [Indexed: 11/17/2022] Open
Abstract
The use of microarrays as a multiple analytic system has generated increased interest and provided a powerful analytical tool for the simultaneous detection of pathogens in a single experiment. A wide array of applications for this technology has been reported. A low density oligonucleotide microarray was generated from the genetic sequences of Y. pestis and B. anthracis and used to fabricate a microarray chip. The new generation chip, consisting of 2,240 spots in 4 quadrants with the capability of stripping/rehybridization, was designated as “Y-PESTIS/B-ANTHRACIS 4x2K Array.” The chip was tested for specificity using DNA from a panel of bacteria that may be potentially present in food. In all, 37 unique Y. pestis-specific and 83 B. anthracis-specific probes were identified. The microarray assay distinguished Y. pestis and B. anthracis from the other bacterial species tested and correctly identified the Y. pestis-specific oligonucleotide probes using DNA extracted from experimentally inoculated milk samples. Using a whole genome amplification method, the assay was able to detect as low as 1 ng genomic DNA as the start sample. The results suggest that oligonucleotide microarray can specifically detect and identify Y. pestis and B. anthracis and may be a potentially useful diagnostic tool for detecting and confirming the organisms in food during a bioterrorism event.
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Leski TA, Lin B, Malanoski AP, Stenger DA. Application of resequencing microarrays in microbial detection and characterization. Future Microbiol 2012; 7:625-37. [PMID: 22568717 DOI: 10.2217/fmb.12.30] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
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.
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Affiliation(s)
- Tomasz A Leski
- Center for Bio/Molecular Science & Engineering, Naval Research Laboratory, SW, Washington, DC 20375, USA.
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23
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Detection and Genotyping of Campylobacter jejuni and Campylobacter coli by Use of DNA Oligonucleotide Arrays. Mol Biotechnol 2012; 53:182-8. [DOI: 10.1007/s12033-012-9512-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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24
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Jiang Y, Guo Y, Wang P, Dong Q, Opriessnig T, Cheng J, Xu H, Ding X, Guo J. A novel diagnostic platform based on multiplex ligase detection–PCR and microarray for simultaneous detection of swine viruses. J Virol Methods 2011; 178:171-8. [DOI: 10.1016/j.jviromet.2011.09.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2010] [Revised: 08/30/2011] [Accepted: 09/12/2011] [Indexed: 10/17/2022]
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Paliy O, Agans R. Application of phylogenetic microarrays to interrogation of human microbiota. FEMS Microbiol Ecol 2011; 79:2-11. [PMID: 22092522 DOI: 10.1111/j.1574-6941.2011.01222.x] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2011] [Revised: 09/09/2011] [Accepted: 09/28/2011] [Indexed: 12/22/2022] Open
Abstract
Human-associated microbiota is recognized to play vital roles in maintaining host health, and it is implicated in many disease states. While the initial surge in the profiling of these microbial communities was achieved with Sanger and next-generation sequencing, many oligonucleotide microarrays have also been developed recently for this purpose. Containing probes complementary to small ribosomal subunit RNA gene sequences of community members, such phylogenetic arrays provide direct quantitative comparisons of microbiota composition among samples and between sample groups. Some of the developed microarrays including PhyloChip, Microbiota Array, and HITChip can simultaneously measure the presence and abundance of hundreds and thousands of phylotypes in a single sample. This review describes the currently available phylogenetic microarrays that can be used to analyze human microbiota, delineates the approaches for the optimization of microarray use, and provides examples of recent findings based on microarray interrogation of human-associated microbial communities.
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Affiliation(s)
- Oleg Paliy
- Department of Biochemistry and Molecular Biology, Wright State University, Dayton, OH 45435, USA.
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26
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Dugat-Bony E, Peyretaillade E, Parisot N, Biderre-Petit C, Jaziri F, Hill D, Rimour S, Peyret P. Detecting unknown sequences with DNA microarrays: explorative probe design strategies. Environ Microbiol 2011; 14:356-71. [PMID: 21895914 DOI: 10.1111/j.1462-2920.2011.02559.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Designing environmental DNA microarrays that can be used to survey the extreme diversity of microorganisms existing in nature, represents a stimulating challenge in the field of molecular ecology. Indeed, recent efforts in metagenomics have produced a substantial amount of sequence information from various ecosystems, and will continue to accumulate large amounts of sequence data given the qualitative and quantitative improvements in the next-generation sequencing methods. It is now possible to take advantage of these data to develop comprehensive microarrays by using explorative probe design strategies. Such strategies anticipate genetic variations and thus are able to detect known and unknown sequences in environmental samples. In this review, we provide a detailed overview of the probe design strategies currently available to construct both phylogenetic and functional DNA microarrays, with emphasis on those permitting the selection of such explorative probes. Furthermore, exploration of complex environments requires particular attention on probe sensitivity and specificity criteria. Finally, these innovative probe design approaches require exploiting newly available high-density microarray formats.
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Affiliation(s)
- Eric Dugat-Bony
- Clermont Université, Université Blaise Pascal, Laboratoire Microorganismes: Génome et Environnement, Clermont-Ferrand, France
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Steger D, Berry D, Haider S, Horn M, Wagner M, Stocker R, Loy A. Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion. PLoS One 2011; 6:e23727. [PMID: 21858215 PMCID: PMC3157431 DOI: 10.1371/journal.pone.0023727] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2011] [Accepted: 07/26/2011] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The hybridization of nucleic acid targets with surface-immobilized probes is a widely used assay for the parallel detection of multiple targets in medical and biological research. Despite its widespread application, DNA microarray technology still suffers from several biases and lack of reproducibility, stemming in part from an incomplete understanding of the processes governing surface hybridization. In particular, non-random spatial variations within individual microarray hybridizations are often observed, but the mechanisms underpinning this positional bias remain incompletely explained. METHODOLOGY/PRINCIPAL FINDINGS This study identifies and rationalizes a systematic spatial bias in the intensity of surface hybridization, characterized by markedly increased signal intensity of spots located at the boundaries of the spotted areas of the microarray slide. Combining observations from a simplified single-probe block array format with predictions from a mathematical model, the mechanism responsible for this bias is found to be a position-dependent variation in lateral diffusion of target molecules. Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias. CONCLUSIONS Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.
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Affiliation(s)
- Doris Steger
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - David Berry
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Susanne Haider
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Matthias Horn
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Michael Wagner
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Roman Stocker
- Ralph M. Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Alexander Loy
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
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28
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Njambere EN, Clarke BB, Zhang N. Dimeric oligonucleotide probes enhance diagnostic macroarray performance. J Microbiol Methods 2011; 86:52-61. [DOI: 10.1016/j.mimet.2011.03.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2011] [Revised: 03/26/2011] [Accepted: 03/26/2011] [Indexed: 11/26/2022]
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Newton R, Hinds J, Wernisch L. Empirical Bayesian models for analysing molecular serotyping microarrays. BMC Bioinformatics 2011; 12:88. [PMID: 21453458 PMCID: PMC3076268 DOI: 10.1186/1471-2105-12-88] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2010] [Accepted: 03/31/2011] [Indexed: 12/02/2022] Open
Abstract
Background Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous biomarkers in highly multiplexed assays. In this study applied to infectious diseases, data from a microarray designed for molecular serotyping of Streptococcus pneumoniae was used, identifying the presence of any one of 91 known pneumococcal serotypes from DNA extracts. This microarray incorporated oligonucleotide probes for all known capsular polysaccharide synthesis genes and required a statistical analysis of the microarray intensity data to determine which serotype, or combination of serotypes, were present within a sample based on the combination of genes detected. Results We propose an empirical Bayesian model for calculating the probabilities of combinations of serotypes from the microarray data. The model takes into consideration the dependencies between serotypes, induced by genes they have in common, and by homologous genes which, although not identical, are similar to each other in sequence. For serotypes which are very similar in capsular gene composition, extra probes are included on the microarray, providing additional information which is integrated into the Bayesian model. For each serotype combination with high probability, a second model, a Bayesian random effects model is applied to determine the relative abundance of each serotype. Conclusions To assess the accuracy of the proposed analysis we applied our methods to experimental data from samples containing individual serotypes and samples containing combinations of serotypes with known levels of abundance. All but two of the known serotypes of S. pneumoniae that were tested as individual samples could be uniquely determined by the Bayesian model. The model also enabled the presence of combinations of serotypes within samples to be determined. Serotypes with very low abundance within a combination of serotypes can be detected (down to 2% abundance in this study). As well as detecting the presence of serotype combinations, an approximate measure of the percentage abundance of the serotypes within the combination can be obtained.
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Affiliation(s)
- Richard Newton
- MRC Biostatistics Unit, Robinson Way, Cambridge, CB2 0SR, UK.
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Pozhitkov AE, Beikler T, Flemmig T, Noble PA. High-throughput methods for analysis of the human oral microbiome. Periodontol 2000 2011; 55:70-86. [PMID: 21134229 DOI: 10.1111/j.1600-0757.2010.00380.x] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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31
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Donhauser SC, Niessner R, Seidel M. Sensitive Quantification of Escherichia coli O157:H7, Salmonella enterica, and Campylobacter jejuni by Combining Stopped Polymerase Chain Reaction with Chemiluminescence Flow-Through DNA Microarray Analysis. Anal Chem 2011; 83:3153-60. [DOI: 10.1021/ac2002214] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Simon Christian Donhauser
- Chair for Analytical Chemistry and Institute of Hydrochemistry, Technische Universität München, Marchioninistrasse 17, D-81377 München, Germany
| | - Reinhard Niessner
- Chair for Analytical Chemistry and Institute of Hydrochemistry, Technische Universität München, Marchioninistrasse 17, D-81377 München, Germany
| | - Michael Seidel
- Chair for Analytical Chemistry and Institute of Hydrochemistry, Technische Universität München, Marchioninistrasse 17, D-81377 München, Germany
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Detection of NASBA amplified bacterial tmRNA molecules on SLICSel designed microarray probes. BMC Biotechnol 2011; 11:17. [PMID: 21356118 PMCID: PMC3051898 DOI: 10.1186/1472-6750-11-17] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2010] [Accepted: 02/28/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We present a comprehensive technological solution for bacterial diagnostics using tmRNA as a marker molecule. A robust probe design algorithm for microbial detection microarray is implemented. The probes were evaluated for specificity and, combined with NASBA (Nucleic Acid Sequence Based Amplification) amplification, for sensitivity. RESULTS We developed a new web-based program SLICSel for the design of hybridization probes, based on nearest-neighbor thermodynamic modeling. A SLICSel minimum binding energy difference criterion of 4 kcal/mol was sufficient to design of Streptococcus pneumoniae tmRNA specific microarray probes. With lower binding energy difference criteria, additional hybridization specificity tests on the microarray were needed to eliminate non-specific probes. Using SLICSel designed microarray probes and NASBA we were able to detect S. pneumoniae tmRNA from a series of total RNA dilutions equivalent to the RNA content of 0.1-10 CFU. CONCLUSIONS The described technological solution and both its separate components SLICSel and NASBA-microarray technology independently are applicative for many different areas of microbial diagnostics.
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Guo J, Yang L, Chen L, Morisset D, Li X, Pan L, Zhang D. MPIC: a high-throughput analytical method for multiple DNA targets. Anal Chem 2011; 83:1579-86. [PMID: 21291179 DOI: 10.1021/ac103266w] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
We describe the development of a novel combined approach for high-throughput analysis of multiple DNA targets based on multiplex Microdroplet PCR Implemented Capillary gel electrophoresis (MPIC), a two-step PCR amplification strategy. In the first step, the multiple target DNAs are preamplified using bipartite primers attached with universal tail sequences on their 5'-ends. Then, the preamplified templates are compartmentalized individually in the microdroplet of the PCR system, and multiple targets can be amplified in parallel, employing primers targeting their universal sequences. Subsequently, the resulting multiple products are analyzed by capillary gel electrophoresis (CGE). Using genetically modified organism (GMO) analysis as a model, 24 DNA targets can be simultaneously detected with a relative limit of detection of 0.1% (w/w) and absolute limit of detection of 39 target DNA copies. The described system provides a promising alternative for high-throughput analysis of multiple DNA targets.
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Affiliation(s)
- Jinchao Guo
- GMO Detection Laboratory, SJTU-Bor Luh Food Safety Center, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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Loy A, Pester M, Steger D. Phylogenetic microarrays for cultivation-independent identification and metabolic characterization of microorganisms in complex samples. Methods Mol Biol 2011; 688:187-206. [PMID: 20938840 DOI: 10.1007/978-1-60761-947-5_13] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
High-throughput sequencing and hybridization technologies promise new insights into the natural diversity and dynamics of microorganisms. Among these new technologies are phylogenetic oligonucleotide microarrays (phylochips) that depend on the standard molecules for taxonomic and environmental studies of microorganisms: the ribosomal RNAs and their encoding genes. The beauty of phylochip hybridization is that a sample can be analyzed with hundreds to thousands of rRNA (gene)-targeted probes simultaneously, lending itself to the efficient diagnosis of many target organisms in many samples. An emerging application of phylochips is the highly parallel analysis of structure-function relationships of microbial community members by employing in vivo substrate-mediated isotope labeling of rRNA (via the isotope array approach). This chapter provides an introduction to phylochip and isotope array analysis and detailed wet-lab protocols for preparation, labeling, and hybridization of target nucleic acids.
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Affiliation(s)
- Alexander Loy
- Department of Microbial Ecology, Faculty of Life Sciences, University of Vienna, Wien, Austria.
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Microorganisms with novel dissimilatory (bi)sulfite reductase genes are widespread and part of the core microbiota in low-sulfate peatlands. Appl Environ Microbiol 2010; 77:1231-42. [PMID: 21169452 DOI: 10.1128/aem.01352-10] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Peatlands of the Lehstenbach catchment (Germany) house as-yet-unidentified microorganisms with phylogenetically novel variants of the dissimilatory (bi)sulfite reductase genes dsrAB. These genes are characteristic of microorganisms that reduce sulfate, sulfite, or some organosulfonates for energy conservation but can also be present in anaerobic syntrophs. However, nothing is currently known regarding the abundance, community dynamics, and biogeography of these dsrAB-carrying microorganisms in peatlands. To tackle these issues, soils from a Lehstenbach catchment site (Schlöppnerbrunnen II fen) from different depths were sampled at three time points over a 6-year period to analyze the diversity and distribution of dsrAB-containing microorganisms by a newly developed functional gene microarray and quantitative PCR assays. Members of novel, uncultivated dsrAB lineages (approximately representing species-level groups) (i) dominated a temporally stable but spatially structured dsrAB community and (ii) represented "core" members (up to 1% to 1.7% relative abundance) of the autochthonous microbial community in this fen. In addition, denaturing gradient gel electrophoresis (DGGE)- and clone library-based comparisons of the dsrAB diversity in soils from a wet meadow, three bogs, and five fens of various geographic locations (distance of ∼1 to 400 km) identified that one Syntrophobacter-related and nine novel dsrAB lineages are widespread in low-sulfate peatlands. Signatures of biogeography in dsrB-based DGGE data were not correlated with geographic distance but could be explained largely by soil pH and wetland type, implying that the distribution of dsrAB-carrying microorganisms in wetlands on the scale of a few hundred kilometers is not limited by dispersal but determined by local environmental conditions.
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Héry M, Sanguin H, Perez Fabiel S, Lefebvre X, Vogel TM, Paul E, Alfenore S. Monitoring of bacterial communities during low temperature thermal treatment of activated sludge combining DNA phylochip and respirometry techniques. WATER RESEARCH 2010; 44:6133-6143. [PMID: 20673948 DOI: 10.1016/j.watres.2010.07.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2009] [Revised: 05/30/2010] [Accepted: 07/04/2010] [Indexed: 05/29/2023]
Abstract
Sludge reduction is one of the major challenges in biological wastewater treatment. One approach is to increase the sludge degradation yield together with the biodegradation kinetics. Among the various sludge pretreatment strategies proposed, thermal pretreatment at around 65 °C was described as promising. The enhancement in the biodegradation activity due to the selection of thermophilic hydrolytic bacteria was proposed, but further experiments are needed to demonstrate the specific role of these bacteria. In this study, concentrated activated sludge grown at 20 °C was subjected to thermal treatment at 65 °C for different periods. The originality of the work relied on a polyphasic approach based on the correlation between kinetics (chemical oxygen demand, COD; mixed liquor suspended solids, MLSS), bacterial activity (respirometry) and bacterial community structure (phylochip monitoring) in order to characterize the mechanisms involved in the thermal reduction of sludge. The bacterial activity in the aeration basin decreased to a very low level when recycling sludge was treated at 65 °C from 13 to 60 h, but then, started to increase after 60 h. In parallel to these fluctuations in activity, a drastic shift occurred in the bacterial community structure with the selection of thermophilic bacteria (mainly related to genera Paenibacillus and Bacillus), which are known for their specific hydrolases.
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Affiliation(s)
- Marina Héry
- Université de Toulouse, F-31077, Toulouse, France.
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Kim DH, Lee BK, Kim YD, Rhee SK, Kim YC. Detection of representative enteropathogenic bacteria, Vibrio spp., pathogenic Escherichia coli, Salmonella spp., Shigella spp., and Yersinia enterocolitica, using a virulence factor gene-based oligonucleotide microarray. J Microbiol 2010; 48:682-8. [PMID: 21046348 DOI: 10.1007/s12275-010-0119-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2010] [Accepted: 05/19/2010] [Indexed: 11/26/2022]
Abstract
Rapid identification of enteropathogenic bacteria in stool samples is critical for clinical diagnosis and antimicrobial therapy. In this study, we describe the development of an approach that couples multiplex PCR with hybridization to a DNA microarray, to allow the simultaneous detection of the 10 pathogens. The microarray was synthesized with 20-mer oligonucleotide probes that were designed to be specific for virulence-factor genes of each strain. The detection limit for genomic DNA from a single strain was approximately 10 fg. In the presence of heterogeneous non-target DNA, the detection sensitivity of the array decreased to approximately 100 fg. We did not observe any non-specific hybridization. In addition, we successfully used this oligonucleotide-based DNA microarray to identify the causative agents in clinical stool samples from patients with food-borne enteritis.
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Affiliation(s)
- Dong-Hun Kim
- Department of Microbiology, Chungbuk National University, Cheongju 361-763, Republic of Korea
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Heidenreich B, Pöhlmann C, Sprinzl M, Gareis M. Detection of Escherichia coli in meat with an electrochemical biochip. J Food Prot 2010; 73:2025-33. [PMID: 21219714 DOI: 10.4315/0362-028x-73.11.2025] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Detection of foodborne pathogenic and spoilage bacteria by RNA-DNA hybridization is an alternative to traditional microbiological procedures. To achieve high sensitivity with RNA-DNA-based methods, efficient bacterial lysis and release of nucleic acids from bacteria are needed. Here we report the specific detection of the hygiene indicator microorganism Escherichia coli in meat by use of electrochemical biochips. We improved RNA isolation from bacteria in meat juice from pork and beef. Samples, either naturally or artificially contaminated by E. coli, were enriched by incubation in full or minimal medium. A combined treatment of the samples with lysozyme, proteinase K, and sonication resulted in efficient cell disruption and high total RNA yields. Together with optimization of enrichment time, this ensures high sensitivity of electrochemical measurements on biochips. A short enrichment period and the triple-lysis regimen in combination with electrochemical biochip measurement were tested with 25 meat samples. The lower limit of detection of the biochip was approximately 2,000 CFU of E. coli per ml. The entire analysis procedure (5 h of enrichment, triple lysis, and biochip detection) has a lower limit of detection of 1 CFU of E. coli per ml within a total time needed for analysis of 7 h.
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Affiliation(s)
- Bernd Heidenreich
- Max Rubner-Institute, Institute of Microbiology and Biotechnology, Kulmbach, Germany
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Friedrich T, Rahmann S, Weigel W, Rabsch W, Fruth A, Ron E, Gunzer F, Dandekar T, Hacker J, Müller T, Dobrindt U. High-throughput microarray technology in diagnostics of enterobacteria based on genome-wide probe selection and regression analysis. BMC Genomics 2010; 11:591. [PMID: 20964857 PMCID: PMC3017858 DOI: 10.1186/1471-2164-11-591] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2010] [Accepted: 10/21/2010] [Indexed: 12/02/2022] Open
Abstract
Background The Enterobacteriaceae comprise a large number of clinically relevant species with several individual subspecies. Overlapping virulence-associated gene pools and the high overall genome plasticity often interferes with correct enterobacterial strain typing and risk assessment. Array technology offers a fast, reproducible and standardisable means for bacterial typing and thus provides many advantages for bacterial diagnostics, risk assessment and surveillance. The development of highly discriminative broad-range microbial diagnostic microarrays remains a challenge, because of marked genome plasticity of many bacterial pathogens. Results We developed a DNA microarray for strain typing and detection of major antimicrobial resistance genes of clinically relevant enterobacteria. For this purpose, we applied a global genome-wide probe selection strategy on 32 available complete enterobacterial genomes combined with a regression model for pathogen classification. The discriminative power of the probe set was further tested in silico on 15 additional complete enterobacterial genome sequences. DNA microarrays based on the selected probes were used to type 92 clinical enterobacterial isolates. Phenotypic tests confirmed the array-based typing results and corroborate that the selected probes allowed correct typing and prediction of major antibiotic resistances of clinically relevant Enterobacteriaceae, including the subspecies level, e.g. the reliable distinction of different E. coli pathotypes. Conclusions Our results demonstrate that the global probe selection approach based on longest common factor statistics as well as the design of a DNA microarray with a restricted set of discriminative probes enables robust discrimination of different enterobacterial variants and represents a proof of concept that can be adopted for diagnostics of a wide range of microbial pathogens. Our approach circumvents misclassifications arising from the application of virulence markers, which are highly affected by horizontal gene transfer. Moreover, a broad range of pathogens have been covered by an efficient probe set size enabling the design of high-throughput diagnostics.
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Affiliation(s)
- Torben Friedrich
- University of Würzburg, Institute for Molecular Infection Biology, Würzburg, Germany
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40
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Rajilić-Stojanović M, Maathuis A, Heilig HGHJ, Venema K, de Vos WM, Smidt H. Evaluating the microbial diversity of an in vitro model of the human large intestine by phylogenetic microarray analysis. MICROBIOLOGY-SGM 2010; 156:3270-3281. [PMID: 20847013 DOI: 10.1099/mic.0.042044-0] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
A high-density phylogenetic microarray targeting small subunit rRNA (SSU rRNA) sequences of over 1000 microbial phylotypes of the human gastrointestinal tract, the HITChip, was used to assess the impact of faecal inoculum preparation and operation conditions on an in vitro model of the human large intestine (TIM-2). This revealed that propagation of mixed faecal donations for the production of standardized inocula has only a limited effect on the microbiota composition, with slight changes observed mainly within the Firmicutes. Adversely, significant shifts in several major groups of intestinal microbiota were observed after inoculation of the in vitro model. Hierarchical cluster analysis was able to show that samples taken throughout the inoculum preparation grouped with microbiota profiles observed for faecal samples of healthy adults. In contrast, the TIM-2 microbiota was distinct. While members of the Bacteroidetes and some groups within the Bacilli were increased in TIM-2 microbiota, a strong reduction in the relative abundance of other microbial groups, including Bifidobacterium spp., Streptococcus spp., and Clostridium clusters IV and XIVa, was observed. The changes detected with the HITChip could be confirmed using denaturing gradient gel electrophoresis (DGGE) of SSU rRNA amplicons.
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Affiliation(s)
| | - Annet Maathuis
- Top Institute Food and Nutrition, PO Box 557, 6700 AN Wageningen, The Netherlands.,TNO Quality of Life, PO Box 360, 3700 AJ Zeist, The Netherlands
| | - Hans G H J Heilig
- Laboratory of Microbiology, Wageningen University, Dreijenplein 10, 6703 HB Wageningen, The Netherlands
| | - Koen Venema
- Top Institute Food and Nutrition, PO Box 557, 6700 AN Wageningen, The Netherlands.,TNO Quality of Life, PO Box 360, 3700 AJ Zeist, The Netherlands
| | - Willem M de Vos
- Department of Veterinary Biosciences, PO Box 66, FN-00014, University of Helsinki, Finland.,Laboratory of Microbiology, Wageningen University, Dreijenplein 10, 6703 HB Wageningen, The Netherlands
| | - Hauke Smidt
- Top Institute Food and Nutrition, PO Box 557, 6700 AN Wageningen, The Netherlands.,Laboratory of Microbiology, Wageningen University, Dreijenplein 10, 6703 HB Wageningen, The Netherlands
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41
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Abstract
Transfusion safety relating to blood-transmissible agents is a major public health concern, particularly when faced with the continuing emergence of new infectious agents. These include new viruses appearing alongside other known reemerging viruses (West Nile virus, Chikungunya) as well as new strains of bacteria and parasites (Plasmodium falciparum, Trypanosoma cruzi) and finally pathologic prion protein (variant Creutzfeldt-Jakob disease). Genomic mutations of known viruses (hepatitis B virus, hepatitis C virus, human immunodeficiency virus) can also be at the origin of variants susceptible to escaping detection by diagnostic tests. New technologies that would allow the simultaneous detection of several blood-transmissible agents are now needed for the development and improvement of screening strategies. DNA microarrays have been developed for use in immunohematology laboratories for blood group genotyping. Their application in the detection of infectious agents, however, has been hindered by additional technological hurdles. For instance, the variability among and within genomes of interest complicate target amplification and multiplex analysis. Advances in biosensor technologies based on alternative detection strategies have offered new perspectives on pathogen detection; however, whether they are adaptable to diagnostic applications testing biologic fluids is under debate. Elsewhere, current nanotechnologies now offer new tools to improve the sample preparation, target capture, and detection steps. Second-generation devices combining micro- and nanotechnologies have brought us one step closer to the potential development of innovative and multiplexed approaches applicable to the screening of blood for transmissible agents.
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Affiliation(s)
- Chantal Fournier-Wirth
- Laboratoire de R&D-Agents Transmissibles par Transfusion (R&D-ATT), Etablissement Français du Sang Pyrénées-Méditerranée, Montpellier, France.
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Roh SW, Abell GCJ, Kim KH, Nam YD, Bae JW. Comparing microarrays and next-generation sequencing technologies for microbial ecology research. Trends Biotechnol 2010; 28:291-9. [PMID: 20381183 DOI: 10.1016/j.tibtech.2010.03.001] [Citation(s) in RCA: 124] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2009] [Revised: 02/18/2010] [Accepted: 03/08/2010] [Indexed: 12/12/2022]
Abstract
Recent advances in molecular biology have resulted in the application of DNA microarrays and next-generation sequencing (NGS) technologies to the field of microbial ecology. This review aims to examine the strengths and weaknesses of each of the methodologies, including depth and ease of analysis, throughput and cost-effectiveness. It also intends to highlight the optimal application of each of the individual technologies toward the study of a particular environment and identify potential synergies between the two main technologies, whereby both sample number and coverage can be maximized. We suggest that the efficient use of microarray and NGS technologies will allow researchers to advance the field of microbial ecology, and importantly, improve our understanding of the role of microorganisms in their various environments.
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Affiliation(s)
- Seong Woon Roh
- Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, HoeGi-Dong 1, DongDaeMun-Gu, Republic of Korea
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43
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Leski TA, Malanoski AP, Stenger DA, Lin B. Target amplification for broad spectrum microbial diagnostics and detection. Future Microbiol 2010; 5:191-203. [DOI: 10.2217/fmb.09.126] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Microarrays are massively parallel detection platforms that were first used extensively for gene expression studies, but have also been successfully applied to microbial detection in a number of diverse fields requiring broad-range microbial identification. This technology has enabled researchers to gain an insight into the microbial diversity of environmental samples, facilitated discovery of a number of new pathogens and enabled studies of multipathogen infections. In contrast to gene expression studies, the concentrations of targets in analyzed samples for microbial detection are usually much lower, and require the use of nucleic acid amplification techniques. The rapid advancement of manufacturing technologies has increased the content of the microarrays; thus, the required amplification is a challenging problem. The constant parallel improvements in both microarray and sample amplification techniques in the near future may lead to a radical progression in medical diagnostics and systems for efficient detection of microorganisms in the environment.
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Affiliation(s)
- Tomasz A Leski
- Center for Bio/Molecular Science & Engineering, Code 6900, Naval Research Laboratory, Washington, DC, USA and Nova Research Inc., 1900 Elkin Street, Suite 230, Alexandria, VA, USA
| | - Anthony P Malanoski
- Center for Bio/Molecular Science & Engineering, Code 6900, Naval Research Laboratory, Washington, DC, USA
| | - David A Stenger
- Center for Bio/Molecular Science & Engineering, Code 6900, Naval Research Laboratory, Washington, DC, USA
| | - Baochuan Lin
- Center for Bio/Molecular Science & Engineering, Code 6900, Naval Research Laboratory, Washington, DC, USA
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44
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Fournier-Wirth C, Coste J. Nanotechnologies for pathogen detection: Future alternatives? Biologicals 2010; 38:9-13. [DOI: 10.1016/j.biologicals.2009.10.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2009] [Accepted: 10/23/2009] [Indexed: 12/01/2022] Open
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45
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Lau A, Chen S, Sleiman S, Sorrell T. Current status and future perspectives on molecular and serological methods in diagnostic mycology. Future Microbiol 2009; 4:1185-222. [DOI: 10.2217/fmb.09.70] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Invasive fungal infections are an important cause of infectious morbidity. Nonculture-based methods are increasingly used for rapid, accurate diagnosis to improve patient outcomes. New and existing DNA amplification platforms have high sensitivity and specificity for direct detection and identification of fungi in clinical specimens. Since laboratories are increasingly reliant on DNA sequencing for fungal identification, measures to improve sequence interpretation should support validation of reference isolates and quality control in public gene repositories. Novel technologies (e.g., isothermal and PNA FISH methods), platforms enabling high-throughput analyses (e.g., DNA microarrays and Luminex® xMAP™) and/or commercial PCR assays warrant further evaluation for routine diagnostic use. Notwithstanding the advantages of molecular tests, serological assays remain clinically useful for patient management. The serum Aspergillus galactomannan test has been incorporated into diagnostic algorithms of invasive aspergillosis. Both the galactomannan and the serum β-D-glucan test have value for diagnosing infection and monitoring therapeutic response.
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Affiliation(s)
- Anna Lau
- Centre for Infectious Diseases & Microbiology, University of Sydney, Sydney, Australia
| | - Sharon Chen
- Centre for Infectious Diseases & Microbiology, University of Sydney, Sydney, Australia and Centre for Infectious Diseases & Microbiology Laboratory Services, Institute of Clinical Pathology & Medical Research, Westmead Hospital, Westmead, NSW 2145, Australia
| | - Sue Sleiman
- Centre for Infectious Diseases & Microbiology Laboratory Services, Institute of Clinical Pathology & Medical Research, Westmead Hospital, Westmead, NSW 2145, Australia
| | - Tania Sorrell
- Centre for Infectious Diseases & Microbiology, Westmead Hospital, Darcy and Hawkesbury Roads, Westmead, NSW 2145, Australia
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Janvilisri T, Scaria J, Gleed R, Fubini S, Bonkosky MM, Gröhn YT, Chang YF. Development of a microarray for identification of pathogenic Clostridium spp. Diagn Microbiol Infect Dis 2009; 66:140-7. [PMID: 19879710 DOI: 10.1016/j.diagmicrobio.2009.09.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2009] [Revised: 09/02/2009] [Accepted: 09/22/2009] [Indexed: 12/25/2022]
Abstract
In recent years, Clostridium spp. have rapidly reemerged as human and animal pathogens. The detection and identification of pathogenic Clostridium spp. is therefore critical for clinical diagnosis and antimicrobial therapy. Traditional diagnostic techniques for clostridia are laborious, are time consuming, and may adversely affect the therapeutic outcome. In this study, we developed an oligonucleotide diagnostic microarray for pathogenic Clostridium spp. The microarray specificity was tested against 65 Clostridium isolates. The applicability of this microarray in a clinical setting was assessed with the use of mock stool samples. The microarray was successful in discriminating at least 4 species with the limit of detection as low as 10(4) CFU/mL. In addition, the pattern of virulence and antibiotic resistance genes of tested strains were determined through the microarrays. This approach demonstrates the high-throughput detection and identification of Clostridium spp. and provides advantages over traditional methods. Microarray-based techniques are promising applications for clinical diagnosis and epidemiologic investigations.
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Affiliation(s)
- Tavan Janvilisri
- Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY 14853, USA
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Molecular diagnostic tests for microsporidia. Interdiscip Perspect Infect Dis 2009; 2009:926521. [PMID: 19657457 PMCID: PMC2719812 DOI: 10.1155/2009/926521] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2009] [Accepted: 05/12/2009] [Indexed: 11/29/2022] Open
Abstract
The Microsporidia are a ubiquitous group of eukaryotic obligate intracellular parasites which were recognized over 100 years ago with the description of Nosema bombycis, a parasite of silkworms. It is now appreciated that these organisms are related to the Fungi. Microsporidia infect all major animal groups most often as gastrointestinal pathogens; however they have been reported from every tissue and organ, and their spores are common in environmental sources such as ditch water. Several different genera of these organisms infect humans, but the majority of infections are due to either
Enterocytozoon bieneusi or Encephalitozoon species. These pathogens can be difficult to diagnose, but significant progress has been made in the last decade in the development of molecular diagnostic reagents for these organisms. This report reviews the molecular diagnostic tests that have been described for the identification of the microsporidia that infect humans.
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Hesselsoe M, Füreder S, Schloter M, Bodrossy L, Iversen N, Roslev P, Nielsen PH, Wagner M, Loy A. Isotope array analysis of Rhodocyclales uncovers functional redundancy and versatility in an activated sludge. ISME JOURNAL 2009; 3:1349-64. [DOI: 10.1038/ismej.2009.78] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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50
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Cayuela ML, Mondini C, Insam H, Sinicco T, Franke-Whittle I. Plant and animal wastes composting: effects of the N source on process performance. BIORESOURCE TECHNOLOGY 2009; 100:3097-3106. [PMID: 19264479 DOI: 10.1016/j.biortech.2009.01.027] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2008] [Revised: 01/16/2009] [Accepted: 01/20/2009] [Indexed: 05/27/2023]
Abstract
The aim of this work was to evaluate the impact of different N-rich animal wastes on the composting of ligno-cellulosic wastes by a range of classical and novel methods, with particular emphasis on microbial community composition. Two composting mixtures were prepared by adding to a mixture of cotton carding wastes and wheat straw: (i) meat and bone meal and (ii) blood meal and horn and hoof meal. Composts were analyzed using physico-chemical and biochemical properties, as well as nucleic acid microarrays. Results showed that physico-chemical and biochemical parameters differentiated composts depending on their degree of stability, while microarray hybridization discriminated compost samples according to the starting materials used in the compost production. Microarray analysis indicated not only the presence in the composts of bacteria involved in N(2) fixation and plant disease suppression, but also the presence of Acinetobacter calcoaceticus that is suspected to trigger an autoimmune response related to bovine spongiform encephalopathy. The present work highlights the importance of using parameters addressing different properties of the composting matrix for a proper evaluation of the process performance.
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Affiliation(s)
- Maria Luz Cayuela
- CEBAS-CSIC, Campus de Espinardo, Apartado de Correos 164, E-30100 Murcia, Spain
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