Complete genome sequence of the plant growth-promoting endophyte Burkholderia phytofirmans strain PsJN.

Burkholderia phytofirmans PsJN(T) is able to efficiently colonize the rhizosphere, root, and above-ground plant tissues of a wide variety of genetically unrelated plants, such as potatoes, canola, maize, and grapevines. Strain PsJN shows strong plant growth-promoting effects and was reported to enhance plant vigor and resistance to biotic and abiotic stresses. Here, we report the genome sequence of this strain, which indicates the presence of multiple traits relevant for endophytic colonization and plant growth promotion.

A microbial diagnostic microarray technique for the sensitive detection and identification of pathogenic bacteria in a background of nonpathogens.

A major challenge in microbial diagnostics is the parallel detection and identification of low-bundance pathogens within a complex microbial community. In addition, a high specificity providing robust, reliable identification at least at the species level is required. A microbial diagnostic microarray approach, using single nucleotide extension labeling with gyrB as the marker gene, was developed. We present a novel concept applying competitive oligonucleotide probes to improve the specificity of the assay. Our approach enabled the sensitive and specific detection of a broad range of pathogenic bacteria. The approach was tested with a set of 35 oligonucleotide probes targeting Escherichia coli, Shigella spp., Salmonella spp., Aeromonas hydrophila, Vibrio cholerae, Mycobacterium avium, Mycobacterium tuberculosis, Helicobacter pylori, Proteus mirabilis, Yersinia enterocolitica, and Campylobacter jejuni. The introduction of competitive oligonucleotides in the labeling reaction successfully suppressed cross-reaction by closely related sequences, significantly improving the performance of the assay. Environmental applicability was tested with environmental and veterinary samples harboring complex microbial communities. Detection sensitivity in the range of 0.1% has been demonstrated, far below the 5% detection limit of traditional microbial diagnostic microarrays.

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.

ARChip epoxy and ARChip UV for covalent on-chip immobilization of pmoA gene-specific oligonucleotides.

ARChip Epoxy and ARChip UV are presented as novel chip platforms for oligonucleotide immobilization. ARChip Epoxy is made of reactive epoxy resin available commercially. ARChip UV consists of photoactivatable poly(styrene-co-4-vinylbenzylthiocyanate). Both ARChip surfaces are tested in a model assay based on oligonucleotide probes from a real-life genotyping project and are evaluated in comparison with five commercial chip surfaces based on nitrocellulose, epoxy, and aldehyde polymer, and two different aminosilanes. Optimum print buffer, spotter compatibility, and data normalization are discussed.

Optimization of diagnostic microarray for application in analysing landfill methanotroph communities under different plant covers.

Landfill sites are responsible for 6-12% of global methane emission. Methanotrophs play a very important role in decreasing landfill site methane emissions. We investigated the methane oxidation capacity and methanotroph diversity in lysimeters simulating landfill sites with different plant vegetations. Methane oxidation rates were 35 g methane m-2 day-1 or higher for planted lysimeters and 18 g methane m-2 day-1 or less for bare soil controls. Best methane oxidation, as displayed by gas depth profiles, was found under a vegetation of grass and alfalfa. Methanotroph communities were analysed at high throughput and resolution using a microbial diagnostic microarray targeting the particulate methane monooxygenase (pmoA) gene of methanotrophs and functionally related bacteria. Members of the genera Methylocystis and Methylocaldum were found to be the dominant members in landfill site simulating lysimeters. Soil bacterial communities in biogas free control lysimeters, which were less abundant in methanotrophs, were dominated by Methylocaldum. Type Ia methanotrophs were found only in the top layers of bare soil lysimeters with relatively high oxygen and low methane concentrations. A competetive advantage of type II methanotrophs over type Ia methanotrophs was indicated under all plant covers investigated. Analysis of average and individual results from parallel samples was used to identify general trends and variations in methanotroph community structures in relation to depth, methane supply and plant cover. The applicability of the technology for the detection of environmental perturbations was proven by an erroneous result, where an unexpected community composition detected with the microarray indicated a potential gas leakage in the lysimeter being investigated.

Development and validation of a diagnostic microbial microarray for methanotrophs.

The potential of DNA microarray technology in high-throughput detection of bacteria and quantitative assessment of their community structures is widely acknowledged but has not been fully realised yet. A generally applicable set of techniques, based on readily available technologies and materials, was developed for the design, production and application of diagnostic microbial microarrays. A microarray targeting the particulate methane monooxygenase (pmoA) gene was developed for the detection and quantification of methanotrophs and functionally related bacteria. A microarray consisting of a set of 59 probes that covers the whole known diversity of these bacteria was validated with a representative set of extant strains and environmental clones. The potential of the pmoA microarray was tested with environmental samples. The results were in good agreement with those of clone library sequence analyses. The approach can currently detect less dominant bacteria down to 5% of the total community targeted. Initial tests assessing the quantification potential of this system with artificial PCR mixtures showed very good correlation with the expected results with standard deviations in the range of 0.4-17.2%. Quantification of environmental samples with this method requires the design of a reference mixture consisting of very close relatives of the strains within the sample and is currently limited by biases inherent in environmental DNA extraction and universal PCR amplification.

RNA isolation from soil for bacterial community and functional analysis: evaluation of different extraction and soil conservation protocols.

The impact of three different RNA isolation methods on the community analysis of metabolically active bacteria was determined by reverse transcription (RT) and PCR amplification of 16S rRNA genes and subsequent terminal restriction fragment length polymorphism (T-RFLP) analysis. Furthermore, soil samples were stored at different conditions in order to evaluate the effect of soil conservation methods on the outcome of the population analysis. The quality of mRNA was assessed by reverse transcription and PCR amplification of eubacterial glutamine synthetase genes. Our results indicated that the community composition as well as the abundance of individual members were affected by the kind of RNA isolation method. Furthermore, the extraction method influenced the recovery of mRNA. Lyophilization, storage at -20 degrees C as well as storage in glycerol stocks at -80 degrees C proved to be equally appropriate for the storage of soils and subsequent RNA isolation.