REMiner: a tool for unbiased mining and analysis of repetitive elements and their arrangement structures of large chromosomes

Repetitive elements (REs) constitute a substantial portion of the genomes of human and other species; however, the RE profiles (type, density, and arrangement) within the individual genomes have not been fully characterized. In this study, we developed an RE analysis tool, called REMiner, for a chromosome-wide investigation into the occurrence of individual REs and arrangement of clusters of REs, and REMiner's functional features were examined using the human chromosome Y. The algorithm implemented by REMiner focused on unbiased mining of REs in large chromosomes and data interface within a viewer. The data from the chromosome demonstrated that REMiner is an efficient tool in regard to its capacity for a large query size and the availability of a high-resolution viewer, featuring instant retrieval of alignment data and control of magnification and identity ratio. The chromosome-wide survey identified a diverse population of ordered RE arrangements, which may participate in the genome biology.     

Riboprints as a tool for rapid preliminary identification of sphingomonads

Fourtythree strains of the genus Sphingomonas and close relatives were subjected to riboprint analyses generated after digestion of genomic DNA with the restriction enzyme EcoRI and hybridization with E. coli rrnB operon. The majority of strains were characterized by a complex banding pattern in the riboprints. High degrees of similarities in the riboprints were only observed among strains of the same species such as S. yanoikuyae, S. aromaticivorans, S. subarctica and S. chlorophenolica. Strains of different species including close phylogenetic relatives such as S. asaccharolytica, S. mali and S. pruni were easily distinguished by the differences in the riboprints even after visual evaluation. Thus, our data demonstrate that riboprint analysis is useful for preliminary identification of new sphingomonad isolates at the species level.     

FT-IR spectroscopy as a tool for rapid identification and intra-species characterization of airborne filamentous fungi

Identification of microfungi is time-consuming due to cultivation and microscopic examination and can be influenced by the interpretation of the macro- and micro-morphological characters observed. Fungal conidia contain mycotoxins that may be present in bioaerosols and thus the capacity for production of mycotoxins (and allergens) needs to be investigated to create a basis for reliable risk assessment in environmental and occupational hygiene. The present investigation aimed to create a simple but sophisticated method for the preparation of samples and the identification of airborne fungi by FT-IR spectroscopy. The method was suited to reproducibly differentiate Aspergillus and Penicillium species on the generic, the species, and the strain level. There are strong indications that strains of one taxon differing in metabolite production can be reliably distinguished by FT-IR spectroscopy (e.g. Aspergillus parasiticus). On the other hand, species from different taxa being similar in secondary metabolite production showed comparably higher similarities. The results obtained here can serve as a basis for the development of a database for species identification and strain characterization of microfungi. The method presented here will improve and facilitate the risk assessment in case of bioaerosol exposure, as strains with different physiological properties (e.g. toxic, non-toxic) could be differentiated. Moreover, it has the potential to significantly improve the identification of microfungi in various fields of applied microbiological research, e.g. high throughput screening in view of specific physiological properties, biodiversity studies, inventories in environmental microbiology, and quality control measures.     

A rapid, simple and reliable combined method for G-banding mammalian and human chromosomes

A simple and reliable method for G-banding chromosomes from human and mammalian cells is described. This rapid method combines hot saline and trypsin treatments and yields high quality G-bands in both bone marrow and cultured cells.     

Cluster analysis as selection and dereplication tool for the identification of new natural compounds from large sample sets

Cluster analysis of gas-chromatographic (GC) data of ca. 500 bacterial isolates was used as an aid in detection and identification of new natural compounds. This approach reduces the number of GC/MS analysis (dereplication) and concomitantly improves the selection of samples with high probability to contain unknown natural products. Lipophilic bacterial extracts were derivatized and analyzed by GC under standardized conditions. A program was developed to convert chromatographic data into a two-dimensional matrix. Based on the results of hierarchical cluster analysis samples were selected for further investigation by GC/MS and NMR. This approach avoided unnecessary analysis of similar samples. By this method, the unusual oligoprenylsesquiterpenes 1 and 2 as well as new aromatic amides 7 and 8 were identified.     

GMATo: A novel tool for the identification and analysis of microsatellites in large genomes

Simple Sequence Repeats (SSR), also called microsatellite, is very useful for genetic marker development and genome application. The increasing whole sequences of more and more large genomes provide sources for SSR mining in silico. However currently existing SSR mining tools can’t process large genomes efficiently and generate no or poor statistics. Genome-wide Microsatellite Analyzing Tool (GMATo) is a novel tool for SSR mining and statistics at genome aspects. It is faster and more accurate than existed tools SSR Locator and MISA. If a DNA sequence was too long, it was chunked to short segments at several Mb followed by motifs generation and searching using Perl powerful pattern match function. Matched loci data from each chunk were then merged to produce final SSR loci information. Only one input file is required which contains raw fasta DNA sequences and output files in tabular format list all SSR loci information and statistical distribution at four classifications. GMATo was programmed in Java and Perl with both graphic and command line interface, either executable alone in platform independent manner with full parameters control. Software GMATo is a powerful tool for complete SSR characterization in genomes at any size.

Availability

The soft GMATo is freely available at http://sourceforge.net/projects/gmato/files/?source=navbar or on contact     

Fourier-transform infrared microspectroscopy,a novel and rapid tool for identification of yeasts

Fourier-transform infrared (FT-IR) microspectroscopy was used in this study to identify yeasts. Cells were grown to microcolonies of 70 to 250 micro m in diameter and transferred from the agar plate by replica stamping to an IR-transparent ZnSe carrier. IR spectra of the replicas on the carrier were recorded using an IR microscope coupled to an IR spectrometer, and identification was performed by comparison to reference spectra. The method was tested by using small model libraries comprising reference spectra of 45 strains from 9 genera and 13 species, recorded with both FT-IR microspectroscopy and FT-IR macrospectroscopy. The results show that identification by FT-IR microspectroscopy is equivalent to that achieved by FT-IR macrospectroscopy but the time-consuming isolation of the organisms prior to identification is not necessary. Therefore, this method also provides a rapid tool to analyze mixed populations. Furthermore, identification of 21 Debaryomyces hansenii and 9 Saccharomyces cerevisiae strains resulted in 92% correct identification at the strain level for S. cerevisiae and 91% for D. hansenii, which demonstrates that the resolution power of FT-IR microspectroscopy may also be used for yeast typing at the strain level.     

A single PCR-restriction endonuclease analysis for rapid identification of Malassezia species

AIMS: The present study describes a system based on PCR and restriction endonuclease analysis (REA) to distinguish the seven currently recognized Malassezia species. METHODS AND RESULTS: Fifty-five representative yeast isolates were examined. A single primer pair was designed to amplify the large subunit ribosomal RNA (LSU rRNA) gene of the seven Malassezia species, and identification was achieved by digestion of the PCR products with three restriction endonucleases: BanI, HaeII and MspI. A specific restriction endonuclease analysis pattern was determined for each species investigated. Moreover, PCR-REA allowed the detection and characterization of mixtures of several Malassezia species. CONCLUSION: PCR-REA of only the LSU rRNA gene is a reliable and rapid method to distinguish all Malassezia species. SIGNIFICANCE AND IMPACT OF THE STUDY: PCR-REA represents a considerable saving in time over currently available identification procedures. This method should be evaluated on clinical material directly.     

The units of DNA replication in the mammalian chromosomes: Evidence for a large size of replication units

The replication of chromosomal DNA in human and Chinese hamster cell populations has been studied by means of the DNA fiber autoradiography. It was found that the rate of DNA replication for one fork in human cells varies from 0.2 to 0.9 m/min, the average being 0.6 m/min. In the Chinese hamster cells the rate of DNA replication is greater, varying from 0.3 to 1.2 m/min, the average being 0.8 m/min. There are no clusters containing a great number of replication units in human and Chinese hamster cells. Sequences consisting of two or three replicons which belong to single DNA molecule have been observed, but their frequency was relatively low. The distances between the initiation points in such sequences of replicons vary from 40 to 280 m, the average value being 130 m. This value represents the minimum size of the replication units which have completed the DNA synthesis within 3 h of the S-period. The DNA synthesis in most replication units fails to be accomplished within the three hours of labelling. The process can be completed only in the fragments of DNA molecules of 40 to 200 m (the average value being 100 m) in human cells, whereas in the Chinese hamster cells the fragments of 40 to 250 m (the average being about 140 m) are completely replicated. Provided that the replication is bidirectional the complete replicons are supposed to contain two such fragments. Consequently, the greater part of replication units in mammalian cells covers the pieces of a few hundred microns in DNA molecules. The relation between replication process at the DNA molecules level and that at the metaphase chromosome level is discussed.     

Use of a mammalian interspersed repetitive (MIR) element in the coding and processing sequences of mammalian genes.

The mammalian interspersed repetitive (MIR) element was amplified in mammals 130 million years ago. The MIR element is at least 260 bp in length and is found in approximately 105 copies in the mammalian genome. We analyzed copies of the MIR element in the DNA of various mammals to determine its relationship to the structure and function of genes, in an attempt to identify specific uses of the MIR element within the mammalian genome. We found that alternative splicing within the acetylcholine receptor gene in humans takes place within the MIR element and results in the incorporation of part of the MIR element into the coding sequence of this gene. Furthermore, the polyadenylation signal (AATAAA) at the 3' end of four different mammalian genes is derived from the MIR element. These uses of the MIR element suggest that other regulatory sequences found within the mammalian genome originated from ancient transposable elements, many of which may no longer be recognizable.     

Chromosomes for molecular hybridization. Assignment of repetitive and single copy genes using a rapid filter-fixation method

Specific recombinant DNA sequences (5S rRNA, B1, albumin) were assigned to flow sorted chromosomes of the Chinese hamster cell line CHV79. For this purpose, a rapid protocol was developed using filterbound chromosomal DNA and probing with various nucleic acids, that allows sequence identification in chromosomes. A flow histogram and a flow karyogram of the CHV79 cell line were established by flow analysis in order to calculate the amount of DNA per CHV79 cell and their chromosomes. Subsequently, metaphase chromosomes or chromosomal groups were fractionated by electronic sorting and a defined number of chromosomes was directly bound to nitrocellulose filters for sequence homology analysis by a dot blot hybridization procedure. This procedure not only allows the assigning of specific DNA sequences to particular chromosomes, it is also applicable to studies of changes in karyotypes, for example translocations of given sequences.     

A new strategy useful for rapid identification of microsatellites from DNA libraries with large size inserts.

Microsatellites are new powerful polymorphic markers used for gene mapping. Their characterization requires that all the sequence surrounding the repeat be known in order to be able to design primers for PCR amplification. However, when using DNA libraries with large cloned inserts, this sequence characterization is not immediately practicable. In this paper, we describe a new strategy, based both on the use of a microsatellite specific probing and on the creation of nested deleted clones with the Exonuclease III, in order to position microsatellites in a range allowing direct sequencing. This method was applied to the screening of a mouse chromosome 19 DNA specific library. In this way, thirteen clones were identified by specific probing and seven were submitted to the nested deletion strategy. Five of them presented microsatellite sequences in specific deleted subclones which were selected and sequenced. Primers were designed for each of them and polymorphism between the genomes of several inbred strain of mouse have been determined. These microsatellites were mapped, three of them to chromosome 19 and two to chromosome 11.     

Comparative analyses of seven algorithms for copy number variant identification from single nucleotide polymorphism arrays

Determination of copy number variants (CNVs) inferred in genome wide single nucleotide polymorphism arrays has shown increasing utility in genetic variant disease associations. Several CNV detection methods are available, but differences in CNV call thresholds and characteristics exist. We evaluated the relative performance of seven methods: circular binary segmentation, CNVFinder, cnvPartition, gain and loss of DNA, Nexus algorithms, PennCNV and QuantiSNP. Tested data included real and simulated Illumina HumHap 550 data from the Singapore cohort study of the risk factors for Myopia (SCORM) and simulated data from Affymetrix 6.0 and platform-independent distributions. The normalized singleton ratio (NSR) is proposed as a metric for parameter optimization before enacting full analysis. We used 10 SCORM samples for optimizing parameter settings for each method and then evaluated method performance at optimal parameters using 100 SCORM samples. The statistical power, false positive rates, and receiver operating characteristic (ROC) curve residuals were evaluated by simulation studies. Optimal parameters, as determined by NSR and ROC curve residuals, were consistent across datasets. QuantiSNP outperformed other methods based on ROC curve residuals over most datasets. Nexus Rank and SNPRank have low specificity and high power. Nexus Rank calls oversized CNVs. PennCNV detects one of the fewest numbers of CNVs.     

ImageParser: a tool for finite element generation from three-dimensional medical images

Background

The finite element method (FEM) is a powerful mathematical tool to simulate and visualize the mechanical deformation of tissues and organs during medical examinations or interventions. It is yet a challenge to build up an FEM mesh directly from a volumetric image partially because the regions (or structures) of interest (ROIs) may be irregular and fuzzy.

Methods

A software package, ImageParser, is developed to generate an FEM mesh from 3-D tomographic medical images. This software uses a semi-automatic method to detect ROIs from the context of image including neighboring tissues and organs, completes segmentation of different tissues, and meshes the organ into elements.

Results

The ImageParser is shown to build up an FEM model for simulating the mechanical responses of the breast based on 3-D CT images. The breast is compressed by two plate paddles under an overall displacement as large as 20% of the initial distance between the paddles. The strain and tangential Young's modulus distributions are specified for the biomechanical analysis of breast tissues.

Conclusion

The ImageParser can successfully exact the geometry of ROIs from a complex medical image and generate the FEM mesh with customer-defined segmentation information.

     

Identifying mammalian predators from bite marks: a tool for focusing wildlife protection

Dead Sooty Shearwater, Puffinus griseus, chicks and adults were collected from seven colonies on South Island, New Zealand in the 1993–96 breeding seasons. An estimated 97% of 118 deaths were from predation. Thirty‐four definite predator bite pairs were identified on 27 carcasses. Twenty‐one (78%) of the carcasses had bite pairs with intercanine distances < 9.5 mm which suggests that Stoats (Mustela erminea) were the principal predators. One chick was killed by a feral House Cat (Felis catus), and it is likely that feral Ferrets (M. furo) were responsible for a proportion of the deaths. Nearly three quarters of definite Stoat bite pairs were identified in the head region. The analyses of bite marks offers cheap and statistically reliable identification of predators provided carcasses are collected fresh and flesh is removed to examine tooth punctures in bone.     

High-throughput genotyping system as a robust and useful tool in oncology: Experience from a single institution

Background and aimSingle nucleotide polymorphisms (SNPs) are substitutions of one base for another in the gene sequence and conforms the basis for pharmacogenetics and the development of personalized medicine. Many methods have been developed for SNP genotyping. The aim of the present study was to validate the use of a novel high-throughput genotyping system.MethodsFive SNPs (rs25487, rs25489, rs1799782, rs13181, and rs11615) were genotyped in 118 cancer patients using the classical method PCR restriction fragment length polymorphism (RFLP) and the high-throughput, automated assay Biotrove OpenArray^® NT Cycler, trying to explore the feasibility and reproducibility of the OpenArray system in the context of oncology.ResultsThe call rates obtained ranged from 95.7 to 100% for both techniques. The percentage of overlapping ranged from 96.2 to 100% among both assays, showing a high reproducibility between the techniques.ConclusionThese findings, together with the low-cost and the simple and fast work flow, suggest that the OpenArray system is a robust and easy methodology for genotyping in the field of oncology.     

Empirically testing the effectiveness of thermal imaging as a tool for identification of large mammals in the African bushveldt

Monitoring animal populations often relies on direct visual observations. This is problematic at night when spotlighting can cause misidentification and inaccurate counting. Using infrared thermography (IRT) could potentially solve these difficulties, but reliability is uncertain. Here, we test the accuracy of 24 observers, differing in experience and skill levels, in identifying antelope species from IRT photographs taken in the African bush. Overall, 38% of identifications were correct to species level, and 50% were correct to genus/subfamily level. Identification accuracy depended on the confidence and skill of the observer (positive relationship), the number of animals present (positive relationship), and the distance at which it was taken (negative relationship). Species with characteristic features, horn morphology, or posture were identified with ~80% accuracy (e.g. wildebeest, kudu and impala) while others were considerably lower (e.g. blesbok and waterbuck). Experience significantly improved identification accuracy but the effect was not consistent between species and even experienced observers struggled to identify red hartebeest, reedbuck and eland. Counting inaccuracies were commonplace, particularly when group size was large. We conclude that thermal characteristics of species and experience of observers can pose challenges for African field ecologists, but IRT can be used to identify and count some species accurately, especially <100 m.