It's easy to build your own microarrayer!

DNA microarrays are becoming the tool of choice for microbial gene-expression profiling and genotypic analysis. The construction of a gridding robot for the 'in-house' production of microarrays is a choice worth considering, and offers distinct advantages over other options in terms of cost effectiveness and scale. Having built our own robot, we want to dispel some of the myths that might be associated with such a project, as well as provide practical advice for potential builders in the UK and Europe.     

Homogeneous versus heterogeneous probes for microbial ecological microarrays

Microbial ecological microarrays have been developed for investigating the composition and functions of microorganism communities in environmental niches. These arrays include microbial identification microarrays, which use oligonucleotides, gene fragments or microbial genomes as probes. In this article, the advantages and disadvantages of each type of probe are reviewed. Oligonucleotide probes are currently useful for probing uncultivated bacteria that are not amenable to gene fragment probing, whereas the functional gene fragments amplified randomly from microbial genomes require phylogenetic and hierarchical categorization before use as microbial identification probes, despite their high resolution for both specificity and sensitivity. Until more bacteria are sequenced and gene fragment probes are thoroughly validated, heterogeneous bacterial genome probes will provide a simple, sensitive and quantitative tool for exploring the ecosystem structure.     

Diagnostic microbial microarrays in soil ecology

Soil microbial communities are responsible for important physiological and metabolic processes. In the last decade soil microorganisms have been frequently analysed by cultivation-independent techniques because only a minority of the natural microbial communities are accessible by cultivation. Cultivation-independent community analyses have revolutionized our understanding of soil microbial diversity and population dynamics. Nevertheless, many methods are still laborious and time-consuming, and high-throughput methods have to be applied in order to understand population shifts at a finer level and to be better able to link microbial diversity with ecosystems functioning. Microbial diagnostic microarrays (MDMs) represent a powerful tool for the parallel, high-throughput identification of many microorganisms. Three categories of MDMs have been defined based on the nature of the probe and target molecules used: phylogenetic oligonucleotide microarrays with short oligonucleotides against a phylogenetic marker gene; functional gene arrays containing probes targeting genes encoding specific functions; and community genome arrays employing whole genomes as probes. In this review, important methodological developments relevant to the application of the different types of diagnostic microarrays in soil ecology will be addressed and new approaches, needs and future directions will be identified, which might lead to a better insight into the functional activities of soil microbial communities.     

基因芯片技术在环境微生物群落研究中的应用

基因芯片技术作为一种快速、敏感、高通量的检测技术,近几年来在环境微生物群落研究中的应用越来越广泛并且得到充分的发展.它不仅可以研究环境微生物群落的微生物分布、种类、功能、动力学变化,还能分析环境污染等环境因素改变对其微生物生态的影响.本文按照基因芯片探针的设计方法,将环境样品群落研究基因芯片分为系统寡核苷酸芯片、功能基因芯片、群落基因组芯片、宏基因组芯片,并简要综述了该技术在活性污泥、土壤、水等环境样品微生物群落研究上的应用,最后,本文展望了该技术的研究方向和在寻找不同环境微生物群落之间差异微生物、差异基因或差异表达基因研究中的应用前景.     

Microarrays for bacterial detection and microbial community analysis

Several types of microarrays have recently been developed and evaluated for bacterial detection and microbial community analysis. These studies demonstrated that specific, sensitive and quantitative detection could be obtained with both functional gene arrays and community genome arrays. Although single-base mismatch can be differentiated with phylogenetic oligonucleotide arrays, reliable specific detection at the single-base level is still problematic. Microarray-based hybridization approaches are also useful for defining genome diversity and bacterial relatedness. However, more rigorous and systematic assessment and development are needed to realize the full potential of microarrays for microbial detection and community analysis.     

Validation of a more sensitive method for using spotted oligonucleotide DNA microarrays for functional genomics studies on bacterial communities

Spotted oligonucleotide microarrays potentially offer a wide scope of applications for microbial ecology, especially as they improve the flexibility of design and the specificity of detection compared to PCR product based microarrays. Sensitivity, however, was expected to be problematic, as studies with the more sensitive PCR-based cDNA microarrays indicate that only genes from populations contributing to more than 5% of the community DNA can be detected. We evaluated several parameters to increase sensitivity and then tested applicability for bacterial functional genomics. The optimal parameters were the use of 5'-C6-amino-modified 70-mers printed on CMT-GAPS II substrates at a 40 micro M concentration combined with the use of Tyramide Signal Amplification labelling. This protocol allowed detection of single copy genes belonging to an organism contributing to 1% or more of the total community. To demonstrate its application, we detected the specific aromatic oxygenase genes in a soil community degrading polychlorinated biphenyls (PCBs). This increase in sensitivity is important if oligonucleotide microarrays are to be used for simultaneous monitoring of a range of functions performed by different microorganisms in the environment.     

mRNA-Based Parallel Detection of Active Methanotroph Populations by Use of a Diagnostic Microarray

A method was developed for the mRNA-based application of microbial diagnostic microarrays to detect active microbial populations. DNA- and mRNA-based analyses of environmental samples were compared and confirmed via quantitative PCR. Results indicated that mRNA-based microarray analyses may provide additional information on the composition and functioning of microbial communities.     

Restriction site tagged (RST) microarrays: a novel technique to study the species composition of complex microbial systems

We have developed a new type of microarray, restriction site tagged (RST), for example NotI, microarrays. In this approach only sequences surrounding specific restriction sites (i.e. NotI linking clones) were used for generating microarrays. DNA was labeled using a new procedure, NotI representation, where only sequences surrounding NotI sites were labeled. Due to these modifications, the sensitivity of RST microarrays increases several hundred-fold compared to that of ordinary genomic microarrays. In a pilot experiment we have produced NotI microarrays from Gram-positive and Gram-negative bacteria and have shown that even closely related Escherichia coli strains can be easily discriminated using this technique. For example, two E.coli strains, K12 and R2, differ by less than 0.1% in their 16S rRNA sequences and thus the 16S rRNA sequence would not easily discriminate between these strains. However, these strains showed distinctly different hybridization patterns with NotI microarrays. The same technique can be adapted to other restriction enzymes as well. This type of microarray opens the possibility not only for studies of the normal flora of the gut but also for any problem where quantitative and qualitative analysis of microbial (or large viral) genomes is needed.     

Application of phylogenetic microarrays to interrogation of human microbiota

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.     

mRNA-based parallel detection of active methanotroph populations by use of a diagnostic microarray

A method was developed for the mRNA-based application of microbial diagnostic microarrays to detect active microbial populations. DNA- and mRNA-based analyses of environmental samples were compared and confirmed via quantitative PCR. Results indicated that mRNA-based microarray analyses may provide additional information on the composition and functioning of microbial communities.     

Hybridization of genomic DNA to microarrays: a challenge for the analysis of environmental samples

The use of DNA microarrays for detection and identification of bacteria and genes of interest from various environments (e.g. soil, sediment, water column...) is a major challenge for microbiologists working on functional diversity. So far, most of the genomic methods that have been described rely on the use of taxonomic markers (such as 16S rRNA) that can be easily amplified by PCR prior to hybridization on microarrays. However, taxonomical markers are not always informative on the functions present in these bacteria. Moreover, genes for which sequence database is limited or that lack any conserved regions will be difficult to amplify and thus to detect in unknown samples. Furthermore, PCR amplification often introduces biases that lead to inaccurate analysis of microbial communities. An alternative solution to overcome these strong limitations is to use genomic DNA (gDNA) as target for hybridisation, without prior PCR amplification. Though hybridization of gDNA is already used for comparative genome hybridization or sequencing by hybridization, yet to the high cost of tiling strategies and important data filtering, its adaptation for use in environmental research poses great challenges in terms of specificity, sensitivity and reproducibility of hybridization. Considering the very faint number of publications that have described hybridization of gDNA to microarrays for environmental applications, we confront in this review the different approaches that have been developed so far, and propose alternative strategies that may contribute to improve the development of microarrays for studying the microbial genetic structure and composition of samples of high environmental and ecological value.     

Development and evaluation of genome-probing microarrays for monitoring lactic acid bacteria

The genome-probing microarray (GPM) was developed for quantitative, high-throughput monitoring of community dynamics in lactic acid bacteria (LAB) fermentation through the deposit of 149 microbial genomes as probes on a glass slide. Compared to oligonucleotide microarrays, the specificity of GPM was remarkably increased to a species-specific level. GPM possesses about 10- to 100-fold higher sensitivity (2.5 ng of genomic DNA) than the currently used 50-mer oligonucleotide microarrays. Since signal variation between the different genomes was very low compared to that of cDNA or oligonucleotide-based microarrays, the capacity of global quantification of microbial genomes could also be observed in GPM hybridization. In order to assess the applicability of GPMs, LAB community dynamics were monitored during the fermentation of kimchi, a traditional Korean food. In this work, approximately 100 diverse LAB species could be quantitatively analyzed as actively involved in kimchi fermentation.     

Recent advances and novel applications in microbial diversity estimation based on DNA analysis methods

This review focuses on recent patents on the exploration and quantification of microbial diversity. Only the patents based on DNA analysis are considered. In general terms, the analysis of environmental samples can be investigated by using three main approaches: microarrays based technologies, genomes/metagenomes comparison and amplification and detection of operative taxonomic units. All patents can relate to the estimation of the microbial diversity, however, many of them were initially designed to detect important medical or agronomic microorganisms. Here, we briefly review recent technological achievements for DNA analysis that offer great potentials for the identification of species.     

Development and Evaluation of Genome-Probing Microarrays for Monitoring Lactic Acid Bacteria

The genome-probing microarray (GPM) was developed for quantitative, high-throughput monitoring of community dynamics in lactic acid bacteria (LAB) fermentation through the deposit of 149 microbial genomes as probes on a glass slide. Compared to oligonucleotide microarrays, the specificity of GPM was remarkably increased to a species-specific level. GPM possesses about 10- to 100-fold higher sensitivity (2.5 ng of genomic DNA) than the currently used 50-mer oligonucleotide microarrays. Since signal variation between the different genomes was very low compared to that of cDNA or oligonucleotide-based microarrays, the capacity of global quantification of microbial genomes could also be observed in GPM hybridization. In order to assess the applicability of GPMs, LAB community dynamics were monitored during the fermentation of kimchi, a traditional Korean food. In this work, approximately 100 diverse LAB species could be quantitatively analyzed as actively involved in kimchi fermentation.     

Carbohydrate microarrays for the recognition of cross-reactive molecular markers of microbes and host cells

We describe here the development of a carbohydrate-based microarray to extend the scope of biomedical research on carbohydrate-mediated molecular recognition and anti-infection responses. We have demonstrated that microbial polysaccharides can be immobilized on a surface-modified glass slide without chemical conjugation. With this procedure, a large repertoire of microbial antigens (approximately 20,000 spots) can be patterned on a single micro-glass slide, reaching the capacity to include most common pathogens. Glycoconjugates of different structural characteristics are shown here to be applicable for microarray fabrication, extending the repertoires of diversity and complexity of carbohydrate microarrays. The printed microarrays can be air-dried and stably stored at room temperature for long periods of time. In addition, the system is highly sensitive, allowing simultaneous detection of a broad spectrum of antibody specificities with as little as a few microliters of serum specimen. Finally, the potential of carbohydrate microarrays is demonstrated by the discovery of previously undescribed cellular markers, Dex-Ids.     

Detecting variants with Metabolic Design,a new software tool to design probes for explorative functional DNA microarray development

Background  

Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic potential in different ecosystems, we need high throughput tools, such as functional microarrays, that allow the simultaneous analysis of thousands of genes. However, most classical functional microarrays use specific probes that monitor only known sequences, and so fail to cover the full microbial gene diversity present in complex environments. We have thus developed an algorithm, implemented in the user-friendly program Metabolic Design, to design efficient explorative probes.     

The next generation of microarray research: applications in evolutionary and ecological genomics

Microarray technology is one of the key developments in recent years that has propelled biological research into the post-genomic era. With the ability to assay thousands to millions of features at the same time, microarray technology has fundamentally changed how biological questions are addressed, from examining one or a few genes to a collection of genes or the whole genome. This technology has much to offer in the study of genome evolution. After a brief introduction on the technology itself, we then focus on the use of microarrays to examine genome dynamics, to uncover novel functional elements in genomes, to unravel the evolution of regulatory networks, to identify genes important for behavioral and phenotypic plasticity, and to determine microbial community diversity in environmental samples. Although there are still practical issues in using microarrays, they will be alleviated by rapid advances in array technology and analysis methods, the availability of many genome sequences of closely related species and flexibility in array design. It is anticipated that the application of microarray technology will continue to better our understanding of evolution and ecology through the examination of individuals, populations, closely related species or whole microbial communities.     

基因芯片技术在检测肠道致病菌方面的应用

基因芯片技术具有高通量、自动化、快速检测等特点,因此被广泛地应用于各种研究领域,如细菌分子流行病学、细菌基因鉴定、致病分子机理、基因突变及多态性分析、表达谱分析、DNA测序和药物筛选等。现介绍基因芯片检测肠道致病菌方面的国外研究进展,基因芯片应用于检测肠道致病菌的3个方面:结合多重PCR对致病菌的毒力因子或者特异性基因进行鉴定;直接检测细菌的DNA或者RNA;以致病细菌核糖体RNA作为检测的靶基因同时检测多种肠道致病菌。由于其检测的高效率,该技术要优于其他分子生物学检测方法。基因芯片技术在肠道致病菌检测中有着巨大的应用价值,具有广阔的应用前景。     

Protein microarrays: from serodiagnosis to whole proteome scale analysis of the immune response against pathogenic microorganisms

Microbial diseases remain the most common cause of global mortality and morbidity. Scientific and technical achievements have dramatically improved the possibilities of investigating the humoral immune response against the whole proteome of microbial organisms. A number of genomes of microbial organisms responsible for diseases of worldwide medical importance such as Plasmodium, Toxoplasma, Mycobacterium, Streptococcus, Neisseria, Salmonella, Borrelia, and Rickettsia species have already been sequenced or will be available in the very near future. High-throughput assays such as protein microarrays have been clinically validated in serum for detecting the presence of antibodies directed against microbial antigens. Computational technologies for processing large sets of data are rapidly being developed. Such a powerful combination of genomic information and assays now offers the opportunity to identify the microbial antigens that, either alone or in combination, function as targets of natural acquired immunity against infectious diseases. This information will prove invaluable for developing vaccines against a series of microorganisms of medical relevance that are urgently needed, e.g., malaria. Additional applications of these technologies include the development of a microbial antigen array for the early serodiagnosis of both common and rare infectious diseases. This review will focus on technical and scientific issues concerning the use of antigen microarrays for vaccine development and the serodiagnosis of infectious diseases.