Multilocus mutation scanning for the analysis of genetic variation within Malassezia (Basidiomycota: Malasseziales)

Members of the genus Malassezia are budding yeasts, characterized by a thick cell wall. Recently, these yeasts have received attention as emerging pathogens. They are common commensals on the skin of animals and can become pathogenic under the influence of various predisposing factors. Central to studying their taxonomy, systematics, and ecology and to diagnosis is the accurate identification of species or operational taxonomic units. To overcome the limitations of current phenotypic and biochemical methods of identification, a PCR-coupled SSCP approach, utilizing sequence variation (0.4-33.5%) in short regions (approximately 250-270 bp) of the first internal transcribed spacer (ITS-1) of nuclear ribosomal DNA and the chitin synthase-2 gene (chs-2), was assessed for the identification and differentiation of different species/genotypes of Malassezia, characterized previously by DNA sequencing. Genomic DNA samples (n = 30) from Malassezia isolates cultured from canine skin scrapings were assessed by SSCP analysis of the two different genetic loci, and unequivocal delineation between genotypes and species was achieved. This SSCP approach is considered to provide a practical tool for the rapid and reliable genetic characterization of Malassezia genotypes/species from dogs and for investigating their population genetics and ecology. It will also provide a powerful tool for studies of Malassezia isolates from other animal species.     

Highly sensitive non‐isotopic restriction endonuclease fingerprinting of nucleotide variability in the gp60 gene within Cryptosporidium species,genotypes and subgenotypes infective to humans,and its implications

The high‐resolution analysis of genetic variation has major implications for the identification of parasites and micro‐organisms to species and subspecies as well as for population genetic and epidemiological studies. In this study, we critically assessed the effectiveness of a PCR‐based restriction endonuclease fingerprinting (REF) method for the detection of mutations in the 60 kDa glycoprotein gene (gp60) of Cryptosporidium, a genus of parasitic protists of major human and animal health importance globally. This gene displays substantial intraspecific variability in sequence, particularly in a TCA (perfect and imperfect) microsatellite region, is present as a single copy in the nuclear genome and is used widely as a marker in molecular epidemiological studies of Cryptosporidium hominis and C. parvum, the two predominant species that infect humans. The results of this study demonstrated an exquisite capacity of REF to detect nucleotide variability in the gp60 gene within each of the two species. The differentiation of genotypes/subgenotypes based on REF analysis was supported by targeted sequencing, allowing the detection of levels of variation as low as a single‐nucleotide transversion for amplicons of ∼1 kb in size. The high‐throughput potential and relatively low‐cost of REF make it a particularly useful tool for large‐scale genetic analyses of C. hominis and C. parvum. REF could also be utilized for comparative surveys of genetic variability across large nuclear genomic regions. Such analyses of Cryptosporidium in clinical and environmental samples by REF have important implications for identifying sources of infection, modes of transmission and/or possible infectivity to humans, thus assisting in the surveillance and control of cryptosporidiosis. Given its excellent mutation detection capacity, REF should find broad applicability to various single‐copy genes as well as a wide range of other protozoan and metazoan parasites. (The nucleotide sequences reported in this article are available in the GenBank database under accession numbers GU214343–GU214371).     

Genotyping Cryptosporidium parvum by single-strand conformation polymorphism analysis of ribosomal and heat shock gene regions

Polymerase chain reaction (PCR)-coupled single-strand conformation polymorphism (SSCP) approaches utilizing nuclear DNA regions of the small subunit (SSU) of ribosomal RNA and heat shock protein 70 gene (HSP70) were established for genotyping Cryptosporidium parvum. The regions were amplified (individually or in a multiplex reaction) by PCR from DNA extracted from oocysts from ruminant or human hosts, then denatured and subjected to electrophoresis in a mutation detection enhancement (nondenaturing) gel matrix. Single-strand profiles produced in SSCP allowed the unequivocal identification/differentiation of the two common (human, 1 and cattle, 2) genotypes of C. parvum and the direct display of sequence variability within some samples, reflecting population variation. As these are considered among the most closely related genotypes (based on SSU and HSP70 sequence data), these findings and other preliminary results for C. felis (from cat) C. serpentis (from snake) and C. baileyi (from bird) indicate that the SSCP approaches established could be employed to identify any of the currently recognised genotypes and species of Cryptosporidium.     

Genetic characterization of Cryptosporidium parvum from calves by mutation scanning and targeted sequencing – zoonotic implications

This study explored the genetic make‐up of Cryptosporidium in fecal samples from 268 individual calves on pasture‐based dairy farms in three regions of Victoria, Australia. An integrated approach, using PCR‐coupled single‐strand conformation polymorphism, targeted sequencing and phylogenetic analysis, was employed to classify the genetic variants (i.e. genotypes and subgenotypes) of Cryptosporidium parvum present in 124 (46.3%) samples and to infer their zoonotic potential. Genotypic and subgenotypic classification was achieved using a portion of the 60 kDa glycoprotein gene (designated pgp60); specific identity was verified using a region within the small subunit of the nuclear ribosomal RNA (pSSU). Twelve sequence types representing ten distinct subgenotypes were defined within genotype IIa, namely IIaA16G3R1 (n=7), IIaA17G2R1 (1), IIaA18G2R1a (2), IIaA18G2R1b (1), IIaA18G4R1 (1), IIaA19G3R1a (80), IIaA19G3R1b (1), IIaA20G2R1 (9), IIaA20G3R1 (1), IIaA20G4R1 (9), IIaA21G3R1 (1) and IIaA23G3R1 (9), of which IIaA18G2R1b, IIaA18G4R1 and IIaA19G3R1b are new records. All of the subgenotypes, except IIaA16G3R1, IIaA18G4R1 and IIaA20G4R1, have been detected previously in humans and are thus considered to be of zoonotic relevance. (Nucleotide sequences reported in this paper are available in the GenBank database under accession numbers FJ825018‐FJ825029).     

Analysis of the genetic diversity within Cryptosporidium hominis and Cryptosporidium parvum from imported and autochtonous cases of human cryptosporidiosis by mutation scanning

The present study investigated sequence variation in part of the 60 kilodalton glycoprotein (pgp60) gene among Cryptosporidium hominis and Cryptosporidium parvum isolates (n=115) from citizens of the UK inferred to have been infected whilst travelling abroad (to 25 countries) or in the UK. The genomic DNA samples from these isolates were subjected to PCR-coupled single-strand conformation polymorphism analysis, followed by targeted sequencing of pgp60. Individual samples were classified to the genotypic and subgenotypic levels based on phylogenetic analysis (Bayesian inference) of pgp60 data, including published sequences for comparison. Based on this analysis, five C. hominis (Ia-If) and four C. parvum (IIa, IIc-IIe) genotypes were identified, equating to 16 and 10 subgenotypes, respectively. Of these genotypes, C. hominis Ib was predominant (n=82). Interestingly, one subgenotype (C. hominis Ib A10G2R2) accounted for the majority of the samples examined and was identified in travellers to 14 countries; the examination of published records suggested that C. hominis Ib A10G2R2 has a global distribution. Numerous new and seemingly rare subgenotypes (eight for C. hominis and six for C. parvum) were also discovered. In conclusion, the present study revealed substantial genetic variation in pgp60 within both C. hominis and C. parvum and emphasizes the need to undertake investigations of human and animal populations in countries for which there is no information on the genetic make-up of Cryptosporidium infecting humans.     

A practical and cost-effective mutation scanning-based approach for investigating genetic variation in Cryptosporidium

In the present study, we used a mutation scanning-targeted sequencing approach to assess variation in part (pgp60) of the 60 kDa glycoprotein (gp60) gene among Cryptosporidium samples from humans in Victoria, Australia. Two nuclear ribosomal loci (the small subunit rRNA gene and the second internal transcribed spacer) were used to identify the samples as Cryptosporidium hominis (n = 74), Cryptosporidium parvum (n = 23) or Cryptosporidium meleagridis (n = 1). In total, nine distinct pgp60 sequences were identified (three C. hominis, five C. parvum and one C. meleagridis). Phylogenetic analyses of the pgp60 sequence data, employing well-defined reference sequences for comparison, allowed the genotypic and subgenotypic classification of samples. The C. hominis samples were classified as Ib A10G2R2, Id A15G1R2, and a new genotype, designated Ib2, was identified subgenotypically as A18G1R4. The C. parvum samples were classified as IIa A18G3R1, IIa A20G3R1, IIa A22G3R1, IIa A23G3R1 and IIc A5G3R2. These findings suggested that the C. hominis metapopulation is largely homogeneous, consisting of a single dominant genotype, Ib A10G2R2, whereas the C. parvum metapopulation is considerably more heterogeneous, with no single dominant genotype. The greater level of genetic heterogeneity found among the C. parvum samples, despite the smaller sample size, may relate to the zoonotic infection pattern of this species, which would be reflective of a greater number of possible infection sources. The present mutation scanning approach, coupled with targeted sequencing of genetically distinct representatives, is a practical, cost-effective tool for large-scale population genetic and epidemiological studies of Cryptosporidium and other eukaryotic organisms.     

Phylogenetic relationship of psychoactive fungi based on the rRNA gene for a large subunit and their identification using the TaqMan assay

"Magic mushrooms" (MMs) are psychoactive fungi containing the and Psychotropics Control Law in Japan. Because there are many kinds of MMs and they are often sold even as dry powders in local markets, it is very difficult to identify the original species of the MMs by morphological observation. Therefore, we investigated the rRNA gene for a large subunit (LSU) of several MMs to classify them by a genetic approach. In this paper, we described the phylogeny of species of MMs based on the partial sequence (about 970 bp) of the LSU and the rapid identification of MMs using the TaqMan PCR assay.     

PCR-free MDR1 polymorphism identification by gold nanoparticle probes

Single nucleotide polymorphisms (SNPs) represent the most abundant source of genetic variation in the human genome, and they can be linked to genetic susceptibilities or varied pharmaceutical responses. Established SNP detection techniques are mainly PCR-based, which means that they involve complex, labor-intensive procedures, are easy contaminated, and can give false-positive results. Therefore, we have developed a simple and rapid MS-based disulfide barcode methodology that relies on magnifying the signal from a dual-modified gold nanoparticle. This approach permits direct SNP genotyping of total human genomic DNA without the need for primer-mediated enzymatic amplification. Disulfides that are attached to the gold nanoparticle serve as a “barcode” that allows different sequences to be discerned using MS detection. Specificity is based on two sequential oligonucleotide hybridizations, which include two steps: the first is the capture of the target by gene-specific probes immobilized onto magnetic beads; the second is the recognition of gold nanoparticles functionalized with allele-specific oligonucleotides. The sensitivity of this new method reaches down to the 0.1 fM range, thus approaching that of PCR. The feasability of this SNP identification methodology based on an MS-based disulfide barcode assay was demonstrated by applying it to genomic DNA samples representing all possible genotypes of the SNPs G2677T and C3435T in the human MDR1 gene. Due to its great advantage—the ability to perform SNP typing without the use of PCR—the assay was found to be simple, rapid and robust, and so may be highly suited to routine clinical detection as well as basic medical research.     

Mutation scanning-based analysis of anisakid larvae from Sillago flindersi from Bass Strait, Australia

Anisakidosis is an important fish-borne disease caused by the larvae of anisakid nematodes, which affects humans and a range of other animals. The accurate identification of members of this nematode group is central to investigating the epidemiology of the parasites and in the surveillance and control of anisakidosis. It is now well known that morphological identification alone does not allow specific identification, particularly of larval stages. To better understand the epidemiology of anisakid nematodes in southern Australian fishes and the potential risks posed to human health, a survey of 50 specimens of the commercially important fish, Sillago flindersi, from Bass Strait, Australia was conducted. We characterised anisakid larvae by PCR-coupled mutation scanning, sequencing and phylogenetic analyses of the first and second internal transcribed spacers (ITS-1 and ITS-2) of nuclear ribosomal DNA. This study revealed that 92% of the S. flindersi examined were infected with anisakids (n=194), which were represented by seven genotypes. Phylogenetic analyses of the genotypes defined herein, together with reference sequence for Anisakis pegreffii and Hysterothylacium sp. from public databases (i.e. GenBank), revealed the presence of A. pegreffii (n=24), Hysterothylacium larval type IV (n=90) and Hysterothylacium larval type VIII (n=80) in S. flindersi. Thus, the PCR-coupled mutation scanning approach employed herein is an effective tool for the genetic characterisation of anisakid nematodes for diagnostic and analytical purposes (nucleotide sequences reported in this paper are available in the GenBank database under accession nos. JN631796-809).     

Rapid distinction of intracellular and extracellular proteins using NMR diffusion measurements

In-cell NMR spectroscopy offers a unique opportunity to begin to investigate the structures, dynamics, and interactions of molecules within their functional environments. An essential aspect of this technique is to define whether observed signals are attributable to intracellular species rather than to components of the extracellular medium. We report here the results of NMR measurements of the diffusion behavior of proteins expressed within bacterial cells, and find that these experiments provide a rapid and nondestructive probe of localization within cells and can be used to determine the size of the confining compartment. We show that diffusion can also be exploited as an editing method to eliminate extracellular species from high-resolution multidimensional spectra, and should be applicable to a wide range of problems. This approach is demonstrated here for a number of protein systems, using both (15)N and (13)C (methyl-TROSY) based acquisition.     

Molecular characterization and first report of Cryptosporidium genotypes in human population in the Slovak Republic

In our study, we examined 91 fecal samples from five different groups of people containing HIV patients, hemodialysis patients, kidney transplant recipients, immunocompetent humans without clinical signs, and humans with suspected cryptosporidiosis. The purpose of our study was to determine species and genotype composition of representatives of Cryptosporidium spp. using PCR analysis of small subunit ribosomal RNA gene and 60‐kDa glycoprotein gene and examine their phylogenetic relationship. In HIV‐positive/AIDS‐infected group of patients and in hemodialysis patients, no presence of Cryptosporidium species was detected. In two kidney transplant recipients, we detected species/genotypes Cryptosporidium parvum IIaA13G1T1R1 (KT355488) and Cryptosporidium hominis IaA11G2R8 (KT355489) and in two immunocompetent patients with clinical symptoms, we identified Cryptosporidium muris and C. hominis IbA10G2T1 (KT355490). In the group of healthy immunocompetent individuals without clinical signs, we identified species/genotype C. hominis IbA11G2 (KT355491) in one sample.     

Mass spectrometric identification of toxins of biological origin

The chemical/biological (CB) threat spectrum encompasses a wide range of potential agents including chemical warfare agents, biological warfare agents and toxins of biological origin that fall between these two main agent categories. These proteinaceous and non-proteinaceous toxins, commonly referred to as mid-spectrum agents, range in molecular mass from a few hundred to more than a hundred thousand daltons. The large number of potential candidates as well as the structural diversity of possible mid-spectrum agents makes identification of these compounds a challenge. The NATO defense community has recognized these challenges and has a working group that is developing identification protocols and evaluating methods through a series of international analytical exercises. Identification strategies rely heavily on recent advances that have been made in both mass spectrometry (MS) and liquid chromatography (LC), with LC-MS typically being employed as the primary method for separation/identification. While this paper focuses on the application of these and related instrumental analytical techniques for the identification of mid-spectrum agents, the approach described could be applied in the fields of toxicology, forensic science and environmental analysis. Areas for future research have been identified and application of developed mid-spectrum identification methods to the ongoing biological and toxin weapons convention (BTWC) are anticipated.     

Rapid identification of pathogenic bacteria by capillary electrophoretic analysis of rRNA genes

Molecular diagnosis is playing an increasingly important role in the rapid detection and identification of pathogenic organisms in clinical samples. The genetic variation of ribosomal genes in bacteria offers an alternative to culturing for the detection and identification of these organisms. Here 16S rRNA and 16S-23S rRNA spacer region genes were chosen as the amplified targets for single-strand conformation polymorphism (SSCP) and restriction fragment length polymorphism (RFLP) capillary electrophoresis analysis and bacterial identification. The multiple fluorescence based SSCP method for the 16S rRNA gene and the RFLP method for the 16S-23S rRNA spacer region gene were developed and applied to the identification of pathogenic bacteria in clinical samples, in which home-made short-chained linear polyacrylamide (LPA) was used as a sieving matrix; a higher sieving capability and shorter analysis time were achieved than with a commercial sieving matrix because of the simplified template preparation procedure. A set of 270 pathogenic bacteria representing 34 species in 14 genera were analyzed, and a total of 34 unique SSCP patterns representing 34 different pathogenic bacterial species were determined. Based on the use of machine code to represent peak patterns developed in this paper, the identification of bacterial species becomes much easier.     

Rapid identification, by use of the LTQ Orbitrap hybrid FT mass spectrometer, of antifungal compounds produced by lactic acid bacteria

Fungal contamination of food causes health and economic concerns. Several species of lactic acid bacteria (LAB) have antifungal activity which may inhibit food spoilage fungi. LAB have GRAS (generally recognised as safe) status, allowing them to be safely integrated into food systems as natural food preservatives. A method is described herein that enables rapid screening of LAB cultures for 25 known antifungal compounds associated with LAB. This is the first chromatographic method developed which enables the rapid identification of a wide range of antifungal compounds by a single method with a short analysis time (23 min). Chromatographic separation was achieved on a Phenomenex Gemini C18 100A column (150 mm?×?2.0 mm; 5 μm) by use of a mobile-phase gradient prepared from (A) water containing acetic acid (0.1%) and (B) acetonitrile containing acetic acid (0.1%), at a flow rate of 0.3 µL min^?1. The gradient involved a progressive ramp from 10–95% acetonitrile over 13 min. The LC was coupled to a hybrid LTQ Orbitrap XL fourier-transform mass spectrometer (FTMS) operated in negative ionisation mode. High mass accuracy data (<3 ppm) obtained by use of high resolution (30,000 K) enabled unequivocal identification of the target compounds. This method allows comprehensive profiling and comparison of different LAB strains and is also capable of the identification of additional compounds produced by these bacteria.     

A colorimetric sensor array for detection and discrimination of biothiols based on aggregation of gold nanoparticles

Developments of sensitive, rapid, and cheap systems for identification of a wide range of biomolecules have been recognized as a critical need in the biology field. Here, we introduce a simple colorimetric sensor array for detection of biological thiols, based on aggregation of three types of surface engineered gold nanoparticles (AuNPs). The low-molecular-weight biological thiols show high affinity to the surface of AuNPs; this causes replacement of AuNPs’ shells with thiol containing target molecules leading to the aggregation of the AuNPs through intermolecular electrostatic interaction or hydrogen-bonding. As a result of the predetermined aggregation, color and UV–vis spectra of AuNPs are changed. We employed the digital mapping approach to analyze the spectral variations with statistical and chemometric methods, including hierarchical cluster analysis (HCA) and principal component analysis (PCA). The proposed array could successfully differentiate biological molecules (e.g., cysteine, glutathione and glutathione disulfide) from other potential interferences such as amino acids in the concentration range of 10–800 μmol L⁻¹.     

Diphosphine Ligand-Enabled Nickel-Catalyzed Chelate-Assisted Inner-Selective Migratory Hydroarylation of Alkenes

The precise control of the regioselectivity in the transition metal-catalyzed migratory hydrofunctionalization of alkenes remains a big challenge. With a transient ketimine directing group, the nickel-catalyzed migratory β-selective hydroarylation and hydroalkenylation of alkenyl ketones has been realized with aryl boronic acids using alkyl halide as the mild hydride source for the first time. The key to this success is the use of a diphosphine ligand, which is capable of the generation of a Ni(II)-H species in the presence of alkyl bromide, and enabling the efficient migratory insertion of alkene into Ni(II)-H species and the sequent rapid chain walking process. The present approach diminishes organosilanes reductant, tolerates a wide array of complex functionalities with excellent regioselective control. Moreover, this catalytic system could also be applied to the migratory hydroarylation of alkenyl azahetereoarenes, thus providing a general approach for the preparation of 1,2-aryl heteroaryl motifs with wide potential applications in pharmaceutical discovery.     

Differentiation of Escherichia coli serotypes using DC gradient insulator dielectrophoresis

Bacteria play a significant role in both human health and disease. An estimated 9.4 million cases of foodborne illness occur in the United States each year. As a result, rapid identification and characterization of microorganisms remains an important research objective. Despite limitations, selective culturing retains a central role among a cadre of identification strategies. For the past decade, separations-based approaches to rapid bacterial identification have been under investigation. Gradient insulator dielectrophoresis (g-iDEP) promises benefits in the form of rapid and specific separation of very similar bacteria, including serotypes of a single species. Furthermore, this approach allows simultaneous concentration of analyte, facilitating detection and downstream analysis. Differentiation of three serotypes or strains of Escherichia coli bacteria is demonstrated within a single g-iDEP microchannel, based on their characteristic electrokinetic properties. Whole cells were captured and concentrated using a range of applied potentials, which generated average electric fields between 160 and 470 V/cm. Bacteria remained viable after exposure to these fields, as determined by cellular motility. These results indicate the potential g-iDEP holds in terms of both separatory power and the possibility for diagnostic applications.     

Analysis of organic volatile impurities in pharmaceutical excipients by static headspace capillary gas chromatography

A systematic approach for the identification and quantification of organic volatile impurities (OVIs) in pharmaceutical excipients is described. Analytical procedures utilizing static headspace capillary gas chromatography coupled with flame-ionization and MS detection techniques were developed for the analysis of toxic ICH class 1 solvents and US Pharmacopeia OVIs at sub-ppm levels, and commonly used organic solvents in a wide range of concentrations. Chromatographic conditions and headspace parameters for the methods were optimized for separation, sensitivity, and speed. The proposed methodologies were demonstrated to be selective, accurate, and reproducible, and were successfully applied to the rapid screening of OVIs in typical excipients.     

Molecular characterization of selected dermatophytes and their identification by electrophoretic mutation scanning

Dermatophytes are fungi that can be contagious and cause infections in the keratinized skin of mammals, including humans. The etiological diagnosis of dermatophytosis relies on a combination of in vitro‐culture and microscopic methods. Effective molecular tools could overcome the limitations of conventional methods of identification. In the present study, following phenetic identification as M. canis, M. fulvum, M. gypseum, T. mentagrophytes and T. terrestre, we genetically characterized key dermatophytes, employing the sequences of the first and second internal transcribed spacers of nuclear ribosomal DNA as well as part of the chitin synthase‐1 gene, and assessed the utility of these DNA regions (based on levels of nucleotide variation within and among species/taxa) as markers for the classification of species and genotypes. Employing partial chitin synthase‐1 gene as the marker, we also established a PCR‐coupled SSCP approach as a diagnostic/analytical mutation‐scanning tool. This tool should facilitate fundamental investigations of the ecology, epidemiology and population genetics of dermatophytes and, importantly, should assist in allowing a more rapid diagnosis of dermatophytoses in humans and other animals, thus overcoming the significant delays in targeted chemotherapy following diagnosis using conventional methods. (Nucleotide sequence data reported in this paper are available in the EMBL, GenBank and DDJB datadases under accession numbers FJ897707–FJ897713 (ITS‐1), FJ897714–FJ897720 (ITS‐2) and FJ897700–FJ897706 (pchs‐1)).     

Gapped-duplex structure to label-free mismatch detection of pathogen DNA on solid substrate

A label-free platform for DNA mismatch detection, that has the potential to overcome the major drawbacks of conventional microarrays, is proposed. We have designed a gapped-duplex-based approach for achieving horizontally aligned probe-DNA on a solid substrate that offers low steric hindrance with excellent mismatch discrimination capability, enhanced association constant, and a much faster response time (less than 15 min). The electron transfer characteristics of DNA sequences immobilized by proposed method on electrode surface are compared with those from conventional immobilization method. The potential of the method in discriminating single nucleotide polymorphism variants among Cryptosporidium parvum genotypes (e.g., human and bovine) is experimentally appraised.