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.     

Comparison of the genomes of deinococcal species using oligonucleotide microarrays

The bacterium Deinococcus radiodurans is one of the most resistant organisms to ionizing radiation and other DNAdamaging agents. Although, at present, 30 Deinococcus species have been identified, the whole-genome sequences of most species remain unknown, with the exception of D. radiodurans (DRD), D. geothermalis, and D. deserti. In this study, comparative genomic hybridization (CGH) microarray analysis of three Deinococcus species, D. radiopugnans (DRP), D. proteolyticus (DPL), and D. radiophilus (DRPH), was performed using oligonucleotide arrays based on DRD. Approximately 28%, 14%, and 15% of 3,128 open reading frames (ORFs) of DRD were absent in the genomes of DRP, DPL, and DRPH, respectively. In addition, 162 DRD ORFs were absent in all three species. The absence of 17 randomly selected ORFs was confirmed by a Southern blot. Functional classification showed that the absent genes spanned a variety of functional categories: some genes involved in amino acid biosynthesis, cell envelope, cellular processes, central intermediary metabolism, and DNA metabolism were not present in any of the three deinococcal species tested. Finally, comparative genomic data showed that 120 genes were Deinococcus-specific, not the 230 reported previously. Specifically, ddrD, ddrO, and ddrH genes, previously identified as Deinococcus-specific, were not present in DRP, DPL, or DRPH, suggesting that only a portion of ddr genes are shared by all members of the genus Deinococcus.     

The application of oligonucleotide probes and microarrays for the identification of freshwater diatoms

Diatoms are major contributors to global carbon fixation and constitute a significant portion of biofilms found in lotic ecosystems. Despite their widespread abundance and the fact that extensive studies have been performed on morphological features of frustules, molecular tools for the identification of diatoms are not commonly available. This study focuses on the development of oligonucleotide probes for the detection of diatom species relevant to water quality assessment. The selected panel of diatoms covers all the species found in water of varying quality from the rivers of central-East Apennine (Italy). Small subunit rRNA-targeted probes were applied to a microarray platform as well as to a new technique termed Primer–Probe, with the aim of obtaining a molecular tool suitable for accurate identification of both single and mixed species diatom populations. The Primer–Probe technique together with dot-blot assays proved to be ideal for the preliminary screening of a large set of DNA oligonucleotides designed by ARB software. It was shown that microarrays, as a promising technology for rapid and simultaneous detection of a wide range of species-specific genetic markers, can be adapted to monitor changes within a diatom community. It is suggested that microarrays will provide a molecular basis for microbial identification to support standard microscopy techniques used by ecologists and environmental scientists for monitoring water quality.     

Sex identification of owls (family Strigidae) using oligonucleotide microarrays

Molecular sexing of the diversified avian family Strigidae is difficult. Sex identification using the intron length difference between W and Z chromosomal CHD1 genes, as visualized by agarose gel electrophoreses, often produces ambiguous results. Here we describe a simple method for sexing a variety of Strigidae species using oligonucleotide microarrays, on which several sex-specific probes operated complementarily or in concert. The sex of 8 owl species was identified clearly on the microarrays through sequence recognition. This sequence-directed method can be easily applied to a wider range of Strigidae species.     

The hidden complexity of multi‐species interactions

In this issue of the Journal of Vegetation Science, Michalet et al. used species removal experiments to detect direct and indirect species interactions in a sub‐alpine grassland. They found evidence for competition, facilitation and a range of indirect interactions at the species level, but no measurable effects when aggregated at the community level. Their results raise fundamental questions regarding the role and importance of indirect interactions in structuring ecological communities.     

FTA-DNA直接提取法在病原真菌分子鉴定中的应用

目的建立并评价FTA-DNA直接提取法在病原真菌分子鉴定中的应用。方法采用whatman FTA-DNA直接提取法从25个不同种属的45株培养的菌株和6例临床标本中提取病原真菌DNA,用于病原真菌的测序鉴定。配制不同浓度的孢子悬液探索该方法的检测限和安全性。结果 45株菌株扩增后均能得到1条清晰的DNA扩增片段,并成功测序。应用该方法亦成功从腹水、胸水、口腔拭子、宫颈拭子来源的临床标本中直接提取DNA并成功鉴定病原真菌。该DNA提取方法联合降落PCR能检测到1.0×103个cell/mL的孢子悬液,1.0×104个cell/mL及以下浓度的孢子悬液可以被FTA卡完全灭活。结论 FTA-DNA直接提取法可快速有效地从培养的菌株及部分临床标本中提取并保存病原真菌DNA,用于病原真菌的测序鉴定。     

Massively parallel pathogen identification using high‐density microarrays

Identification of microbial pathogens in clinical specimens is still performed by phenotypic methods that are often slow and cumbersome, despite the availability of more comprehensive genotyping technologies. We present an approach based on whole‐genome amplification and resequencing microarrays for unbiased pathogen detection. This 10 h process identifies a broad spectrum of bacterial and viral species and predicts antibiotic resistance and pathogenicity and virulence profiles. We successfully identify a variety of bacteria and viruses, both in isolation and in complex mixtures, and the high specificity of the microarray distinguishes between different pathogens that cause diseases with overlapping symptoms. The resequencing approach also allows identification of organisms whose sequences are not tiled on the array, greatly expanding the repertoire of identifiable organisms and their variants. We identify organisms by hybridization of their DNA in as little as 1–4 h. Using this method, we identified Monkeypox virus and drug‐resistant Staphylococcus aureus in a skin lesion taken from a child suspected of an orthopoxvirus infection, despite poor transport conditions of the sample, and a vast excess of human DNA. Our results suggest this technology could be applied in a clinical setting to test for numerous pathogens in a rapid, sensitive and unbiased manner.     

Trans‐species variation in Dmrt1 is associated with sex determination in four European tree‐frog species

Empirical studies on the relative roles of occasional XY recombination versus sex‐chromosome turnover in preventing sex‐chromosome differentiation may shed light on the evolutionary forces acting on sex‐determination systems. Signatures of XY recombination are difficult to distinguish from those of homologous transitions (i.e., transitions in sex‐determination systems that keep sex‐chromosome identity): both models predict X and Y alleles at sex‐linked genes to cluster by species. However, the XY‐recombination model specifically predicts the reverse pattern (clustering by gametologs) for those genes that are directly involved in sex determination. Hence, the latter model can only be validated by identification of an ancestral sex‐determining region (SDR) with trans‐species polymorphism associated to sex. Here we combine a candidate‐gene approach with a genome scan to identify a small SDR shared by four species of a monophyletic clade of European tree frogs. This SDR encompasses at least the N‐terminal part of Dmrt1 and immediate upstream sequences. Our findings provide definitive evidence that sex‐chromosome homomorphy in this clade results only from XY recombination, and take an important step toward the identification of the sex‐determining locus. Moreover, the sex‐diagnostic markers we identify will enable research on environmental sex reversal in a wider range of frog species.     

An oligonucleotide barcode for species identification in Trichoderma and Hypocrea

One of the biggest obstructions to studies on Trichoderma has been the incorrect and confused application of species names to isolates used in industry, biocontrol of plant pathogens and ecological surveys, thereby making the comparison of results questionable. Here we provide a convenient, on-line method for the quick molecular identification of Hypocrea/Trichoderma at the genus and species levels based on an oligonucleotide barcode: a diagnostic combination of several oligonucleotides (hallmarks) specifically allocated within the internal transcribed spacer 1 and 2 (ITS1 and 2) sequences of the rDNA repeat. The barcode was developed on the basis of 979 sequences of 88 vouchered species which displayed in total 135 ITS1 and 2 haplotypes. Oligonucleotide sequences which are constant in all known ITS1 and 2 of Hypocrea/Trichoderma but different in closely related fungal genera, were used to define genus-specific hallmarks. The library of species-, clade- and genus-specific hallmarks is stored in the MySQL database and integrated in the TrichOKey v. 1.0 - barcode sequence identification program with the web interface located on . TrichOKey v. 1.0 identifies 75 single species, 5 species pairs and 1 species triplet. Verification of the DNA-barcode was done by a blind test on 53 unknown isolates of Trichoderma, collected in Central and South America. The obtained results were in a total agreement with phylogenetic identification based on tef1 (large intron), NCBI BLAST of vouchered records and postum morphological analysis. We conclude that oligonucleotide barcode is a powerful tool for the routine identification of Hypocrea/Trichoderma species and should be useful as a complement to traditional methods.     

Isolation, identification and antifungal susceptibility of lemon pathogenic and non pathogenic fungi

Numerous species of filamentous fungi were isolated from lemon on different plantations in the province of Tucuman, Argentina. The techniques suggested by the Subcommittee of Antifungal Susceptibility of the National Committee for Clinical Laboratory Standards, (USA) were adapted. The effect of three different concentrations of the fungicides imazalil, guazatine, SOPP and thiabendazole on the fungi Fusarium oxysporum, Fusarium moniliforme, Aspergillus niger, Aspergillus flavus, Aspergillus clavatus, Geotrichum candidum, Rhizopus sp, Penicillium sp, Penicillium digitatum and Mucor sp were studied. All the tested strains were resistant to thiabendazole. We assayed a mixture of SOPP (5%), guazatine (350 ppm) and imazalil (100 ppm), which showed a synergic effect on Rhizopus sp. Mucor sp was the only fungus resistant to the four fungicides tested as well as to the above mentioned mixture.     

Towards a unified paradigm for sequence‐based identification of fungi

The nuclear ribosomal internal transcribed spacer (ITS) region is the formal fungal barcode and in most cases the marker of choice for the exploration of fungal diversity in environmental samples. Two problems are particularly acute in the pursuit of satisfactory taxonomic assignment of newly generated ITS sequences: (i) the lack of an inclusive, reliable public reference data set and (ii) the lack of means to refer to fungal species, for which no Latin name is available in a standardized stable way. Here, we report on progress in these regards through further development of the UNITE database ( http://unite.ut.ee ) for molecular identification of fungi. All fungal species represented by at least two ITS sequences in the international nucleotide sequence databases are now given a unique, stable name of the accession number type (e.g. Hymenoscyphus pseudoalbidus|GU586904|SH133781.05FU), and their taxonomic and ecological annotations were corrected as far as possible through a distributed, third‐party annotation effort. We introduce the term ‘species hypothesis’ (SH) for the taxa discovered in clustering on different similarity thresholds (97–99%). An automatically or manually designated sequence is chosen to represent each such SH. These reference sequences are released ( http://unite.ut.ee/repository.php ) for use by the scientific community in, for example, local sequence similarity searches and in the QIIME pipeline. The system and the data will be updated automatically as the number of public fungal ITS sequences grows. We invite everybody in the position to improve the annotation or metadata associated with their particular fungal lineages of expertise to do so through the new Web‐based sequence management system in UNITE.     

Prediction and error in multi‐stage models for spread of aquatic non‐indigenous species

Aim Predictions of spread of non‐indigenous species allow for greater efficiency in managing invasions by targeting areas for preventative measures. The invasion sequence is a useful concept in predictions of spread, as it allows us to test hypotheses about the transport and establishment of propagules in novel habitats. Our aims are twofold: (1) to develop and validate multi‐stage invasion models for the introduced fishhook waterflea, Cercopagis pengoi, and (2) to assess how variability in the transport patterns of the propagules influences the accuracy and spatial extent for predictions of spread. Location New York State, USA. Methods We developed a two‐stage model for the spread of C. pengoi. First, we developed a stochastic gravity model for dispersal based on surveys of recreational boat traffic in New York State as a proxy for propagule pressure. We then modelled the probability of establishment based on predicted levels of propagule pressure and measures of lakes’ physicochemistry. In addition, we used Monte Carlo simulations based on the gravity model to propagate variability in boater traffic through the establishment model to assess how uncertainty in dispersal influenced predictions of spread. Results The amount recreationalists were willing to spend, lake area and population size of the city nearest to the destination lake were significant factors affecting boater traffic. In turn, boater traffic, lake area, specific conductance and turbidity were significant predictors of establishment. The inclusion of stochastic dispersal reduced the rate of false positives (i.e. incorrect prediction of an invasion) in detecting invasions at the upper 95% prediction interval for the probability of establishment. Main conclusions Combinations of measures of propagule pressure, habitat suitability and stochastic dispersal allow for the most accurate predictions of spread. Further, multi‐stage spread models may overestimate the extent of spread if stochasticity in early stages of the models is not considered.     

Comparative biology of tropical Lethrinus species (Lethrinidae): challenges for multi‐species management

Life‐history characteristics of six tropical Lethrinus species sampled from the Great Barrier Reef World Heritage Area were compared. Two species groups were identified based on fork length (L_F): large species with maximum L_F > 640 mm (longface emperor Lethrinus olivaceus, yellowlip emperor Lethrinus xanthochilus and spangled emperor Lethrinus nebulosus) and small species with maximum L_F < 480 mm (Pacific yellowtail emperor Lethrinus atkinsoni, pink ear emperor Lethrinus lentjan and ornate emperor Lethrinus ornatus). Lifespan was not correlated with L_F. Early growth for all species was rapid and similar during the first few years of life, but coefficients of the von Bertalanffy growth function varied considerably among species. Growth also differed between sexes for L. atkinsoni. Reproductive characteristics varied among species, with peak periods of spawning occurring in November to December for L. atkinsoni, July to August for L. nebulous, September to October for L. olivaceus and a protracted season for L. lentjan, although fewer samples were available for the last two species. Sex‐specific L_F and age distributions and gonad histology of L. lentjan were suggestive of a functional protogynous reproductive pattern, as observed in other lethrinids. Gonad histology indicated non‐functional protogynous hermaphroditism for L. atkinsoni and L. nebulosus. The diversity of life histories among these closely related species emphasizes the difficulty in devising single management strategies appropriate for multi‐species fisheries and illustrates the importance of understanding species‐specific life histories to infer responses to exploitation.     

DNA序列分析用于常见致病真菌鉴定和分型

随着真菌感染的增多,仅用表型方法鉴定环境中或临床上的致病真菌不足以快速准确地诊断真菌感染疾病,近年来,分子生物学方法因快速、准确而逐步得到应用,其中DNA序列分析已成为鉴定致病真菌到种水平的重要方法。现就DNA序列分析在常见致病真菌分类鉴定及基因分型的应用加以综述。     

Development of a statistically robust quantification method for microorganisms in mixtures using oligonucleotide microarrays

High-density oligonucleotide arrays can be extremely useful for identifying and quantifying specific targets (i.e., ribosomal RNA of microorganisms) in mixtures. However, current array identification schemes are severely compromised by nonspecific hybridization, resulting in numerous false-positive and false-negative calls, they lack an adequate internal control for assessing the quality of identification, and are dependent on amplification of specific target sequences which introduce biases. We have developed a novel approach for the routine quantification and identification of metabolically active microorganisms in mixed samples. The advantage of our approach over conventional ones is that it avoids designing, optimizing, validating, and selecting oligonucleotide probes for arrays; also, nonspecific hybridization is no longer a problem. The basic principle of the approach is that a fluorescence pattern of a mixed sample is a superposition of the fluorescent patterns for each target. The superposition can be quantitatively deconvoluted in terms of concentrations of each microbe. We demonstrated the utility of our approach by extracting rRNA from three microorganisms, making test mixtures, labeling the rRNA, and hybridizing each test mixture to DNA oligonucleotide (20-mers, n=346,608) arrays. Comparison of known concentrations of individual targets in mixtures to those estimated by the solution revealed highly consistent results. The goodness-of-fit of the solution revealed that about 90% of the variability in the data could be explained. A new analytical approach for microbial identification and quantification has been presented in this report. Our findings demonstrate that including signal intensity values from all duplexes on the array, which are essentially nonspecific to the target organisms, significantly improved predictions of known microbial targets. To our knowledge, this is the first study to report this phenomenon. In addition, we demonstrate that the method is a self-sufficient analytical procedure since it provides statistical confidence of the quantification.