Phylogenetic analysis of Pasteurella multocida subspecies and molecular identification of feline P. multocida subsp. septica by 16S rRNA gene sequencing

Pasteurella multocida is commonly found in the oral cavity of cats and dogs. In humans it is known as an opportunistic pathogen after bites from these animals. Phenotypic identification of P. multocida based on biochemical reactions is often limited and usually only done on a species level, even though 3 subspecies are described. For molecular taxonomy and diagnostic purposes a phylogenetic analysis of the three subspecies of P. multocida based on their 16S rRNA (rrs) gene sequence was therefore carried out. We found P. multocida subsp. septica on a distinguished branch on the phylogenetic tree of Pasteurellaceae, due to a 1.5% divergence of its rrs gene compared to the two other, more closely related subspecies multocida and gallicida. This phylogenetic divergence can be used for the identification of P. multocida subsp. septica by rrs gene determination since they form a phylogenetically well isolated and defined group as shown with a set of feline isolates. Comparison to routine phenotypic identification shows the advantage of the sequence-based identification over conventional methods. It is therefore helpful for future unambiguous identification and molecular taxonomy of P. multocida as well as for epidemiological investigations.

Mycoplasma feriruminatoris sp. nov., a fast growing Mycoplasma species isolated from wild Caprinae

Five Mycoplasma strains from wild Caprinae were analyzed: four from Alpine ibex (Capra ibex) which died at the Berlin Zoo between 1993 and 1994, one from a Rocky Mountain goat collected in the USA prior to 1987. These five strains represented a population different from the populations belonging to the 'Mycoplasma mycoides cluster' as tested using multi locus sequence typing, Matrix-assisted laser desorption/ionization time of flight mass spectrometry analysis and DNA-DNA hybridization. Analysis of the 16S rRNA gene (rrs), genomic sequence based in silico as well as laboratory DNA-DNA hybridization, and the analysis of phenotypic traits in particular their exceptionally rapid growth all confirmed that they do not belong to any Mycoplasma species described to date. We therefore suggest these strains represent a novel species, for which we propose the name Mycoplasma feriruminatoris sp. nov. The type strain is G5847(T) (=DSM 26019(T)=NCTC 1362(T)).

Frequency-Dependent Selection Predicts Patterns of Radiations and Biodiversity

Most empirical studies support a decline in speciation rates through time, although evidence for constant speciation rates also exists. Declining rates have been explained by invoking pre-existing niches, whereas constant rates have been attributed to non-adaptive processes such as sexual selection and mutation. Trends in speciation rate and the processes underlying it remain unclear, representing a critical information gap in understanding patterns of global diversity. Here we show that the temporal trend in the speciation rate can also be explained by frequency-dependent selection. We construct a frequency-dependent and DNA sequence-based model of speciation. We compare our model to empirical diversity patterns observed for cichlid fish and Darwin's finches, two classic systems for which speciation rates and richness data exist. Negative frequency-dependent selection predicts well both the declining speciation rate found in cichlid fish and explains their species richness. For groups like the Darwin's finches, in which speciation rates are constant and diversity is lower, speciation rate is better explained by a model without frequency-dependent selection. Our analysis shows that differences in diversity may be driven by incipient species abundance with frequency-dependent selection. Our results demonstrate that genetic-distance-based speciation and frequency-dependent selection are sufficient to explain the high diversity observed in natural systems and, importantly, predict decay through time in speciation rate in the absence of pre-existing niches.

Cis-acting elements and developmental regulators govern toxin gene expression in Bacillus anthracis

Expression of the structural genes for the anthrax toxin proteins is coordinately controlled by host-related signals such as elevated CO2 , and the trans-acting positive regulator, AtxA. No specific binding of AtxA to the toxin gene promoters has been demonstrated and no sequence-based similarities are apparent in the promoter regions of toxin genes. We hypothesized that the toxin genes possess common structural features that are required for positive regulation. To test this hypothesis, I performed an extensive characterization of the toxin gene promoters. I determined the minimal sequences required for atxA-mediated toxin gene expression and compared these sequences for structural similarities. In silico modeling and in vitro experiments indicated significant curvature within these regions. Random mutagenesis revealed that point mutations associated with reduced transcriptional activity, mostly mapped to areas of high curvature. This work enabled the identification of two potential cis-acting elements implicated in AtxA-mediated regulation of the toxin genes. In addition to the growth condition requirements and AtxA, toxin gene expression is under growth phase regulation. The transition state regulator AbrB represses atxA expression to influence toxin synthesis. Here I report that toxin gene expression also requires sigH, a gene encoding the RNA polymerase sigma factor associated with development in B. subtilis. In the well-studied B. subtilis system, σH is part of a feedback control pathway that involves AbrB and the major response regulator of sporulation initiation, Spo0A. My data indicate that in B. anthracis, regulatory relationships exist between these developmental regulators and atxA . Interestingly, during growth in toxin-inducing conditions, sigH and abrB expression deviates from that described for B. subtilis, affecting expression of the atxA gene. These findings, combined with previous observations, suggest that the steady state level of atxA expression is critical for optimal toxin gene transcription. I propose a model whereby, under toxin-inducing conditions, control of toxin gene expression is fine-tuned by the independent effects of the developmental regulators on the expression of atxA . The growth condition-dependent changes in expression of these regulators may be crucial for the correct timing and uninterrupted expression of the toxin genes during infection. ^

Functional data analysis approaches for genotype-phenotype association studies from next-generation sequencing

Next-generation DNA sequencing platforms can effectively detect the entire spectrum of genomic variation and is emerging to be a major tool for systematic exploration of the universe of variants and interactions in the entire genome. However, the data produced by next-generation sequencing technologies will suffer from three basic problems: sequence errors, assembly errors, and missing data. Current statistical methods for genetic analysis are well suited for detecting the association of common variants, but are less suitable to rare variants. This raises great challenge for sequence-based genetic studies of complex diseases.^ This research dissertation utilized genome continuum model as a general principle, and stochastic calculus and functional data analysis as tools for developing novel and powerful statistical methods for next generation of association studies of both qualitative and quantitative traits in the context of sequencing data, which finally lead to shifting the paradigm of association analysis from the current locus-by-locus analysis to collectively analyzing genome regions.^ In this project, the functional principal component (FPC) methods coupled with high-dimensional data reduction techniques will be used to develop novel and powerful methods for testing the associations of the entire spectrum of genetic variation within a segment of genome or a gene regardless of whether the variants are common or rare.^ The classical quantitative genetics suffer from high type I error rates and low power for rare variants. To overcome these limitations for resequencing data, this project used functional linear models with scalar response to develop statistics for identifying quantitative trait loci (QTLs) for both common and rare variants. To illustrate their applications, the functional linear models were applied to five quantitative traits in Framingham heart studies. ^ This project proposed a novel concept of gene-gene co-association in which a gene or a genomic region is taken as a unit of association analysis and used stochastic calculus to develop a unified framework for testing the association of multiple genes or genomic regions for both common and rare alleles. The proposed methods were applied to gene-gene co-association analysis of psoriasis in two independent GWAS datasets which led to discovery of networks significantly associated with psoriasis.^

Prácticas de Planificación en Ciencias Naturales de docentes de Escuela Primaria

La presente Tesina de Licenciatura apunta a describir prácticas de programación de la enseñanza, específicamente en lo referido a la planificación a través de producciones escritas, de docentes de escuela primaria de la Provincia de Buenos Aires en el área curricular de Ciencias Naturales. Se pone especial foco, además, en los contenidos de la Física que las docentes seleccionan, organizan y secuencian a partir del análisis de documentos escritos entregados por las mismas. Se trata de un trabajo descriptivo, realizado desde una perspectiva cualitativa. El estudio presenta una revisión de los principales enfoques sobre la programación de la enseñanza, desarrollados por diferentes corrientes de pensamiento desde las teorías didácticas y curriculares a través del tiempo. Asimismo, se desarrolla el marco teórico en el que se identifican las principales dimensiones de la temática abordada, como así también los objetivos del presente estudio y el marco metodológico. El análisis de las planificaciones estudiadas permitió aproximarse a diversas formas en las cuales las docentes planifican, los componentes que utilizan, las interpretaciones y apropiaciones del curriculum que realizan, el alcance y la profundidad de la prescripción curricular, las concepciones subyacentes sobre la enseñanza y los contenidos Físicos que seleccionan, secuencian y organizan para la enseñanza. El análisis permitió asimismo visibilizar diversos tipos de planificaciones y grados de alcance, presencias y ausencias de componentes y su articulación en cada documento y entre ellos

Prácticas de Planificación en Ciencias Naturales de docentes de Escuela Primaria

La presente Tesina de Licenciatura apunta a describir prácticas de programación de la enseñanza, específicamente en lo referido a la planificación a través de producciones escritas, de docentes de escuela primaria de la Provincia de Buenos Aires en el área curricular de Ciencias Naturales. Se pone especial foco, además, en los contenidos de la Física que las docentes seleccionan, organizan y secuencian a partir del análisis de documentos escritos entregados por las mismas. Se trata de un trabajo descriptivo, realizado desde una perspectiva cualitativa. El estudio presenta una revisión de los principales enfoques sobre la programación de la enseñanza, desarrollados por diferentes corrientes de pensamiento desde las teorías didácticas y curriculares a través del tiempo. Asimismo, se desarrolla el marco teórico en el que se identifican las principales dimensiones de la temática abordada, como así también los objetivos del presente estudio y el marco metodológico. El análisis de las planificaciones estudiadas permitió aproximarse a diversas formas en las cuales las docentes planifican, los componentes que utilizan, las interpretaciones y apropiaciones del curriculum que realizan, el alcance y la profundidad de la prescripción curricular, las concepciones subyacentes sobre la enseñanza y los contenidos Físicos que seleccionan, secuencian y organizan para la enseñanza. El análisis permitió asimismo visibilizar diversos tipos de planificaciones y grados de alcance, presencias y ausencias de componentes y su articulación en cada documento y entre ellos

Prácticas de Planificación en Ciencias Naturales de docentes de Escuela Primaria

La presente Tesina de Licenciatura apunta a describir prácticas de programación de la enseñanza, específicamente en lo referido a la planificación a través de producciones escritas, de docentes de escuela primaria de la Provincia de Buenos Aires en el área curricular de Ciencias Naturales. Se pone especial foco, además, en los contenidos de la Física que las docentes seleccionan, organizan y secuencian a partir del análisis de documentos escritos entregados por las mismas. Se trata de un trabajo descriptivo, realizado desde una perspectiva cualitativa. El estudio presenta una revisión de los principales enfoques sobre la programación de la enseñanza, desarrollados por diferentes corrientes de pensamiento desde las teorías didácticas y curriculares a través del tiempo. Asimismo, se desarrolla el marco teórico en el que se identifican las principales dimensiones de la temática abordada, como así también los objetivos del presente estudio y el marco metodológico. El análisis de las planificaciones estudiadas permitió aproximarse a diversas formas en las cuales las docentes planifican, los componentes que utilizan, las interpretaciones y apropiaciones del curriculum que realizan, el alcance y la profundidad de la prescripción curricular, las concepciones subyacentes sobre la enseñanza y los contenidos Físicos que seleccionan, secuencian y organizan para la enseñanza. El análisis permitió asimismo visibilizar diversos tipos de planificaciones y grados de alcance, presencias y ausencias de componentes y su articulación en cada documento y entre ellos

Bacterial diversity within the human subgingival crevice

Molecular, sequence-based environmental surveys of microorganisms have revealed a large degree of previously uncharacterized diversity. However, nearly all studies of the human endogenous bacterial flora have relied on cultivation and biochemical characterization of the resident organisms. We used molecular methods to characterize the breadth of bacterial diversity within the human subgingival crevice by comparing 264 small subunit rDNA sequences from 21 clone libraries created with products amplified directly from subgingival plaque, with sequences obtained from bacteria that were cultivated from the same specimen, as well as with sequences available in public databases. The majority (52.5%) of the directly amplified 16S rRNA sequences were <99% identical to sequences within public databases. In contrast, only 21.4% of the sequences recovered from cultivated bacteria showed this degree of variability. The 16S rDNA sequences recovered by direct amplification were also more deeply divergent; 13.5% of the amplified sequences were more than 5% nonidentical to any known sequence, a level of dissimilarity that is often found between members of different genera. None of the cultivated sequences exhibited this degree of sequence dissimilarity. Finally, direct amplification of 16S rDNA yielded a more diverse view of the subgingival bacterial flora than did cultivation. Our data suggest that a significant proportion of the resident human bacterial flora remain poorly characterized, even within this well studied and familiar microbial environment.

Estimating the probability for a protein to have a new fold: A statistical computational model

Structural genomics aims to solve a large number of protein structures that represent the protein space. Currently an exhaustive solution for all structures seems prohibitively expensive, so the challenge is to define a relatively small set of proteins with new, currently unknown folds. This paper presents a method that assigns each protein with a probability of having an unsolved fold. The method makes extensive use of protomap, a sequence-based classification, and scop, a structure-based classification. According to protomap, the protein space encodes the relationship among proteins as a graph whose vertices correspond to 13,354 clusters of proteins. A representative fold for a cluster with at least one solved protein is determined after superposition of all scop (release 1.37) folds onto protomap clusters. Distances within the protomap graph are computed from each representative fold to the neighboring folds. The distribution of these distances is used to create a statistical model for distances among those folds that are already known and those that have yet to be discovered. The distribution of distances for solved/unsolved proteins is significantly different. This difference makes it possible to use Bayes' rule to derive a statistical estimate that any protein has a yet undetermined fold. Proteins that score the highest probability to represent a new fold constitute the target list for structural determination. Our predicted probabilities for unsolved proteins correlate very well with the proportion of new folds among recently solved structures (new scop 1.39 records) that are disjoint from our original training set.

The InterPro database, an integrated documentation resource for protein families, domains and functional sites

Signature databases are vital tools for identifying distant relationships in novel sequences and hence for inferring protein function. InterPro is an integrated documentation resource for protein families, domains and functional sites, which amalgamates the efforts of the PROSITE, PRINTS, Pfam and ProDom database projects. Each InterPro entry includes a functional description, annotation, literature references and links back to the relevant member database(s). Release 2.0 of InterPro (October 2000) contains over 3000 entries, representing families, domains, repeats and sites of post-translational modification encoded by a total of 6804 different regular expressions, profiles, fingerprints and Hidden Markov Models. Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (more than 1 000 000 hits from 462 500 proteins in SWISS-PROT and TrEMBL). The database is accessible for text- and sequence-based searches at http://www.ebi.ac.uk/interpro/. Questions can be emailed to interhelp@ebi.ac.uk.

The [(G/C)3NN]n motif: a common DNA repeat that excludes nucleosomes.

Nucleosomes, the basic structural elements of chromosomes, consist of 146 bp of DNA coiled around an octamer of histone proteins, and their presence can strongly influence gene expression. Considerations of the anisotropic flexibility of nucleotide triplets containing 3 cytosines or guanines suggested that a [5'(G/C)3 NN3']n motif might resist wrapping around a histone octamer. To test this, DNAs were constructed containing a 5'-CCGNN-3' pentanucleotide repeat with the Ns varied. Using in vitro nucleosome reconstitution and electron microscopy, a plasmid with 48 contiguous CCGNN repeats strongly excluded nucleosomes in the repeat region. Competitive reconstitution gel retardation experiments using DNA fragments containing 12, 24, or 48 CCGNN repeats showed that the propensity to exclude nucleosomes increased with the length of the repeat. Analysis showed that a 268-bp DNA containing a (CCGNN)48 block is 4.9 +/- 0.6-fold less efficient in nucleosome assembly than a similar length pUC19 fragment and approximately 78-fold less efficient than a similar length (CTG)n sequence, based on results from previous studies. Computer searches against the GenBank database for matches with a [(G/C)3NN]48 sequence revealed numerous examples that frequently were present in the control regions of "TATA-less" genes, including the human ETS-2 and human dihydrofolate reductase genes. In both cases the (G/C)3NN repeat, present in the promoter region, co-maps with loci previously shown to be nuclease hypersensitive sites.

Conservation of synteny between the genome of the pufferfish (Fugu rubripes) and the region on human chromosome 14 (14q24.3) associated with familial Alzheimer disease (AD3 locus)

The genome of the pufferfish (Fugu rubripes) (400 Mb) is approximately 7.5 times smaller than the human genome, but it has a similar gene repertoire to that of man. If regions of the two genomes exhibited conservation of gene order (i.e., were syntenic), it should be possible to reduce dramatically the effort required for identification of candidate genes in human disease loci by sequencing syntenic regions of the compact Fugu genome. We have demonstrated that three genes (dihydrolipoamide succinyltransferase, S31iii125, and S20i15), which are linked to FOS in the familial Alzheimer disease focus (AD3) on human chromosome 14, have homologues in the Fugu genome adjacent to Fugu cFOS. The relative gene order of cFOS, S31iii125, and S20i15 was the same in both genomes, but in Fugu these three genes lay within a 12.4-kb region, compared to >600 kb in the human AD3 locus. These results demonstrate the conservation of synteny between the genomes of Fugu and man and highlight the utility of this approach for sequence-based identification of genes in human disease loci.

Core derived downhole logs for holes CRP-2 and CRP-2A

In the northern McMurdo Sound (Ross Sea, Antarctica), the CRP-2/2A drillhole targeted the western margin of the Victoria Land Basin to investigate Neogene to Palaeogene climatic and tectonic history by obtaining continuous core and downhole logs. Well logging of CRP-2/2A has provided a complete and comprehensive dataset of in situ geophysical measurements. This paper describes the evaluation and interpretation of the downhole logging data using multivariate statistical methods. Two major types of multivariate statistical methods were each yielding a different perspective: (1) Factor analysis was used as an objective tool for classification of the drilled sequence based on physical and chemical properties. The factor logs are mirroring the basic geological controls (i.e., grain size, porosity, clay mineralogy) behind the measured geophysical properties, thereby making them easier to interpret geologically. (2) Cluster analysis of the logs groups similar downhole geophysical properties into one cluster, delineating individual logging or sedimentological units. These objectively and independently defined units, or statistical electrofacies, are helpful in differentiating lithological and sedimentological characterisations (e.g. grain size, provenance). The multivariate statistical methods of factor and cluster analysis proved to be powerful tools for fast, reliable, and objective characterisation of downhole geophysical properties at CRP-2/2A, resulting in interpretations which are consistent with sedimentological findings.

Prediction of protein B-factor profiles

The polypeptide backbones and side chains of proteins are constantly moving due to thermal motion and the kinetic energy of the atoms. The B-factors of protein crystal structures reflect the fluctuation of atoms about their average positions and provide important information about protein dynamics. Computational approaches to predict thermal motion are useful for analyzing the dynamic properties of proteins with unknown structures. In this article, we utilize a novel support vector regression (SVR) approach to predict the B-factor distribution (B-factor profile) of a protein from its sequence. We explore schemes for encoding sequences and various settings for the parameters used in SVR. Based on a large dataset of high-resolution proteins, our method predicts the B-factor distribution with a Pearson correlation coefficient (CC) of 0.53. In addition, our method predicts the B-factor profile with a CC of at least 0.56 for more than half of the proteins. Our method also performs well for classifying residues (rigid vs. flexible). For almost all predicted B-factor thresholds, prediction accuracies (percent of correctly predicted residues) are greater than 70%. These results exceed the best results of other sequence-based prediction methods. (C) 2005 Wiley-Liss, Inc.