Molecular tools for the identification of ectomycorrhizal fungi — taxon-specific oligonucleotide probes for suilloid fungi

Five taxon-specific oligonucleotide probes are described that can be used to help identify the fungal components of ectomycorrhizae. Comparisons among partial sequence from the mitochondrial large subunit rRNA gene (mt-LrRNA) were used to select the probes, which were intended to be specific to several taxa within the suilloid group of the Boletales (Basidiomycota). Probes S1, R1, and G1 were targeted at the genera Suillus, Rhizopogon and Gomphidius ; probe G2 was designed to recognize the family, Gomphidiaceae, and probe US1 was designed to recognize all of these taxa and any other members of the suilloid group. The specificity of each probe was determined empirically by testing their ability to hybridize to PCR amplified fragments derived from 84 species of basidiomycetes. Although none of the probes exhibited their intended specificity, all specifically hybridized to useful subsets of taxa, and collectively they can be used to identify many suilloid taxa to the generic level or below. The probes were also tested for their ability to identify field collected mycorrhizae and were found to perform well.     

Genus- and species-specific oligonucleotide probes derived from 16S rRNA for the identification of vagococci

Synthetic oligonucleotide probes specific for vagococci were designed from 16S rRNA sequence data. Molecular hybridizations with PCR-amplified rDNA targets provided an unequivocal means of differentiating vagococci from related lactic acid bacteria (eg. Carnobacterium, Enterococcus, Lactococcus) and identification at the generic and species levels.     

Phylogenetic group- and species-specific oligonucleotide probes for single-cell detection of lactic acid bacteria in oral biofilms

Background  

The purpose of this study was to design and evaluate fluorescent in situ hybridization (FISH) probes for the single-cell detection and enumeration of lactic acid bacteria, in particular organisms belonging to the major phylogenetic groups and species of oral lactobacilli and to Abiotrophia/Granulicatella.     

Amplicon secondary structure prevents target hybridization to oligonucleotide microarrays

DNA microarrays that are used as end-point detectors for PCR assays are typically composed of short (15-25 mer) oligonucleotide probes bound to glass. When designing these detectors, we have frequently encountered situations where a probe would not hybridize to its complementary, terminally labeled PCR amplicon. To determine if failures could be explained by general phenomenon such as secondary structure, we designed a microarray to detect eight regions of the Escherichia coli 16S rDNA gene. We then amplified eight amplicons of different lengths using a biotin conjugated, antisense primer. Amplicons were then hybridized to the microarray and detected using a combination of signal amplification and fluorescence. In most cases, probe sequences complementary to the 5' region of the amplified products (sense orientation) did not hybridize to their respective amplicon. We tested for positional bias and showed that a biotin conjugated sense primer mirrored the same probe failures. Nick translated products, however, hybridized to all probes. Because nick translation generates many labeled fragments of random length, we concluded that this method disrupted secondary structure that otherwise prevented the amplicons from hybridizing to their respective probes. We also show that nick translation does not compromise detector sensitivity even when used with long PCR amplicons (ca. 1.5 kbp). Despite the increased cost of the nick translation, we concluded that this labeling strategy will reduce the time needed to design new assays as well as avoid possible false negatives during field applications. Alternative labeling strategies are also discussed.     

Extensive set of mitochondrial LSU rDNA-based oligonucleotide probes for the detection of common airborne fungi

Fungi exist in every indoor and outdoor environment. Many fungi are toxigenic or pathogens that may cause various public health concerns. Rapid and accurate detection and identification of fungi require specific markers. In this study, partial mitochondrial large subunit rDNA was amplified and sequenced from 32 fungal strains representing 31 species from 14 genera. Based on the sequence variation pattern, 26 oligonucleotide probes were designed for their discrimination. The specificity of the probes was evaluated through homology search against GenBank database and hybridization examination on 38 fungal strains. The 26 probes were verified as highly specific to 20 fungal species. A two-step detection procedure through PCR followed by probe hybridization gave ten-fold increase in detection sensitivity than single-step PCR assay and would be a practical approach for environmental sample screening. The probes developed in this study can be applied in clinical diagnosis and environmental monitoring of fungal agents.     

Assessment of phylloplane yeasts on selected Mediterranean plants by FISH with group- and species-specific oligonucleotide probes

A previous culture-dependent survey of phylloplane yeasts from selected Mediterranean plants showed that a few species were present in high densities in almost all leaf samples, regardless of the plant type, location or sampling season. However, a few species appeared to be restricted to Cistus albidus leaves, namely Cryptococcus cistialbidi . Here, we describe a culture-independent FISH assay to detect and quantify whole yeast cells in leaf washings. After optimization, the technique was used to check the apparent association between C. albidus leaves and C. cistialbidi and the abundance and ubiquity of other basidiomycetous yeast species such as Erythrobasidium hasegawianum and Sporobolomyces spp. in leaf samples from this and other neighboring plants ( Acer monspessulanum and Quercus faginea ). No yeast cells were detected in Pistacia lentiscus leaf samples. We were also able to demonstrate that three phylloplane yeasts ( C. cistialbidi, E. hasegawianum and Sporobolomyces spp.) appeared to be log-normally distributed among individual C. albidus leaves. The log-normal distribution has important implications for the quantification of phylloplane yeasts based on the washing and plating of bulk leaf samples, which will tend to overestimate the size of the respective populations and become an error source in yeast surveys or related biocontrol studies.     

Quantification of different Eubacterium spp. in human fecal samples with species-specific 16S rRNA-targeted oligonucleotide probes

Species-specific 16S rRNA-targeted, Cy3 (indocarbocyanine)-labeled oligonucleotide probes were designed and validated to quantify different Eubacterium species in human fecal samples. Probes were directed at Eubacterium barkeri, E. biforme, E. contortum, E. cylindroides (two probes), E. dolichum, E. hadrum, E. lentum, E. limosum, E. moniliforme, and E. ventriosum. The specificity of the probes was tested with the type strains and a range of common intestinal bacteria. With one exception, none of the probes showed cross-hybridization under stringent conditions. The species-specific probes were applied to fecal samples obtained from 12 healthy volunteers. E. biforme, E. cylindroides, E. hadrum, E. lentum, and E. ventriosum could be determined. All other Eubacterium species for which probes had been designed were under the detection limit of 10(7) cells g (dry weight) of feces(-1). The cell counts obtained are essentially in accordance with the literature data, which are based on colony counts. This shows that whole-cell in situ hybridization with species-specific probes is a valuable tool for the enumeration of Eubacterium species in feces.     

用于寡核苷酸二级结构预测的热力学数据库研究进展

基于核酸分子杂交的生物技术（如PCR）在病原微生物检测、临床诊断等诸多领域中应用广泛,此类技术的可靠性在于寡核苷酸分子与其靶点结合的高稳定性与特异性,而精确预测寡核苷酸与靶分子结合的二级结构是分析其稳定性与特异性的关键。其中,基于热力学的最近邻模型是寡核苷酸二级结构预测最为可靠的计算方法,但其精确性强烈依赖于精确的热力学参数。由于寡核苷酸分子二级结构的复杂性,除了完美匹配外,还需要错配、内环、膨胀环、末端摇摆、CNG重复、GU摆动等特殊结构的热力学数据。本文综述了近年来用于寡核苷酸二级结构预测的有效热力学数据库及相关计算方法,并指出当前热力学数据库的局限及未来发展方向。     

ITS1 versus ITS2 as DNA metabarcodes for fungi

The nuclear ribosomal Internal Transcribed Spacer ITS region is widely used as a DNA metabarcoding marker to characterize the diversity and composition of fungal communities. In amplicon pyrosequencing studies of fungal diversity, one of the spacers ITS1 or ITS2 of the ITS region is normally used. In this methodological study we evaluate the usability of ITS1 vs. ITS2 as a DNA metabarcoding marker for fungi. We analyse three data sets: two comprising ITS1 and ITS2 sequences of known taxonomic affiliations and a third comprising ITS1 and ITS2 environmental amplicon pyrosequencing data. Clustering analyses of sequences with known taxonomy using the bioinformatics pipeline ClustEx revealed that a 97% similarity cut‐off represent a reasonable threshold for estimating the number of known species in the data sets for both ITS1 and ITS2. However, no single threshold value worked well for all fungi at the same time within the curated UNITE database, and we found that the Operational Taxonomic Unit (OTU) concept is not easily translated into the level of species because many species are distributed over several clusters. Clustering analyses of the 134 692 ITS1 and ITS2 pyrosequences using a 97% similarity cut‐off revealed a high similarity between the two data sets when it comes to taxonomic coverage. Although some groups are under‐ or unrepresented in the two data sets due to, e.g. primer mismatches, our results indicate that ITS1 and ITS2 to a large extent yield similar results when used as DNA metabarcodes for fungi.     

Identification of species in tribe Brassiceae by dot-blot hybridization using species-specific ITS1 probes

Simple, reliable methods for identification of species are required for management of many species and lines in a plant gene bank. Species-specific probes were designed from published sequences of the ITS1 region in rDNA of 16 species in Brassica and its related genera, and used as probes for dot-blot hybridization with plant genomic DNA. All the probes detected species-specific signals at dot-blots of genomic DNAs of the 16 species in Brassica, Diplotaxis, Eruca, and Raphanus. Signals of the Brassica digenomic species in the U’s triangle, i.e., B. napus, B. juncea, and B. carinata, were detected by the probes of their parental monogenomic species, i.e., B. rapa, B. nigra, and B. oleracea. The probe for B. oleracea showed signals of B. balearica, B. cretica, B. incana, B. insularis, and B. macrocarpa, which have the C genome as B. oleracea. Eruca vesicaria DNA was detected by the probe for E. sativa, which has been classified as a subspecies of E. vescaria. DNA of leaf tissue extracted by an alkaline solution and seed DNA prepared by the NaI method can be used directly for dot-blotting. Misidentification of species was revealed in 20 accessions in the Tohoku University Brassica Seed Bank. These results indicate dot-blot hybridization to be a simple and efficient technique for identification of plant species in a gene bank.     

ROSO: optimizing oligonucleotide probes for microarrays

ROSO is software to design optimal oligonucleotide probe sets for microarrays. Selected probes show no significant cross-hybridization, no stable secondary structures and their Tm are chosen to minimize the Tm variability of the probe set. AVAILABILITY: The program is available on the internet. Sources are freely available, for non-profit use, on request to the authors. Supplementary information: http://pbil.univ-lyon1.fr/roso     

Hybridization of DNA targets to glass-tethered oligonucleotide probes

Hybridization of nucleic acids to surface-tethered oligonucleotide probes has numerous potential applications in genome mapping and DNA sequence analysis. In this article, we describe a simple standard protocol for routine preparation of terminal amine-derivatized 9-mer oligonucleotide arrays on ordinary microscope slides and hybridization conditions with DNA target strands of up to several hundred bases in length with good discrimination against mismatches. Additional linker arms separating the glass surface from the probe sequence are not necessary. The technique described here offers a powerful tool for the detection of specific genetic mutations.     

Attachment of oligonucleotide probes to poly carbodiimide-coated glass for microarray applications

Oligonucleotide-based DNA microarrays are becoming increasingly useful tools for the analysis of gene expression and single nucleotide polymorphisms (SNPs). Here, we present a method that permits the manufacture of microarrays from non-modified oligonucleotides on a poly carbodiimide-coated glass surface by UV-irradiation. The use of UV-irradiation facilitates an increase in the level of signal intensity, but it does not affect signal discrimination by the oligonucleotides immobilized on the surface. The signal intensity obtained for an array fabricated using non-modified oligonucleotides with UV-irradiation is ~7-fold greater than that without UV-irradiation. The detection of SNPs was tested to ascertain whether this technique could discriminate specific hybridization signals without causing significant UV-irradiation-induced damage to the immobilized oligonucleotides. We found that this immobilization method provides greater hybridization signals and a better match/mismatch ratio of SNPs than do the established aminosilane techniques. Application of this technology to manufacturing DNA microarrays for sequence analysis is discussed.     

Selection of oligonucleotide probes for protein coding sequences

MOTIVATION: Large arrays of oligonucleotide probes have become popular tools for analyzing RNA expression. However to date most oligo collections contain poorly validated sequences or are biased toward untranslated regions (UTRs). Here we present a strategy for picking oligos for microarrays that focus on a design universe consisting exclusively of protein coding regions. We describe the constraints in oligo design that are imposed by this strategy, as well as a software tool that allows the strategy to be applied broadly. RESULT: In this work we sequentially apply a variety of simple filters to candidate sequences for oligo probes. The primary filter is a rejection of probes that contain contiguous identity with any other sequence in the sample universe that exceeds a pre-established threshold length. We find that rejection of oligos that contain 15 bases of perfect match with other sequences in the design universe is a feasible strategy for oligo selection for probe arrays designed to interrogate mammalian RNA populations. Filters to remove sequences with low complexity and predicted poor probe accessibility narrow the candidate probe space only slightly. Rejection based on global sequence alignment is performed as a secondary, rather than primary, test, leading to an algorithm that is computationally efficient. Splice isoforms pose unique challenges and we find that isoform prevalence will for the most part have to be determined by analysis of the patterns of hybridization of partially redundant oligonucleotides. AVAILABILITY: The oligo design program OligoPicker and its source code are freely available at our website.     

Using imperfect secondary structure predictions to improve molecular structure computations

MOTIVATION: Until ab initio structure prediction methods are perfected, the estimation of structure for protein molecules will depend on combining multiple sources of experimental and theoretical data. Secondary structure predictions are a particularly useful source of structural information, but are currently only approximately 70% correct, on average. Structure computation algorithms which incorporate secondary structure information must therefore have methods for dealing with predictions that are imperfect. EXPERIMENTS PERFORMED: We have modified our algorithm for probabilistic least squares structural computations to accept 'disjunctive' constraints, in which a constraint is provided as a set of possible values, each weighted with a probability. Thus, when a helix is predicted, the distances associated with a helix are given most of the weight, but some weights can be allocated to the other possibilities (strand and coil). We have tested a variety of strategies for this weighting scheme in conjunction with a baseline synthetic set of sparse distance data, and compared it with strategies which do not use disjunctive constraints. RESULTS: Naive interpretations in which predictions were taken as 100% correct led to poor-quality structures. Interpretations that allow disjunctive constraints are quite robust, and even relatively poor predictions (58% correct) can significantly increase the quality of computed structures (almost halving the RMS error from the known structure). CONCLUSIONS: Secondary structure predictions can be used to improve the quality of three-dimensional structural computations. In fact, when interpreted appropriately, imperfect predictions can provide almost as much improvement as perfect predictions in three-dimensional structure calculations.