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An empirical taxometric alternative to traditional classification of temporomandibular disorders.

A number of investigators have suggested that the generic classification temporomandibular disorders (TMD) may consist of several subsets of patients. Two primary factors are to be significant in discriminating subgroups, namely, presence or absence of TM joint abnormalities and psychological characteristics such as traits, maladaptive behavioral patterns, and gross psychopathology. Few attempts, however, have been made to integrate psychosocial and behavioral parameters in order to identify a taxonomy of TMD patients and, subsequently, to examine the differentiation of subgroups on oral dysfunction/structural abnormalities (OD/SA). The primary purpose of this paper was to develop and cross-validate an empirically derived classification system of TMD patients. The first study identified three unique subgroups of TMD patients, labeled 'dysfunctional,' 'interpersonally distressed,' and 'adaptative copers.' A second study cross-validated and confirmed the uniqueness and accuracy of the taxonomy. Subsequent analyses were performed that demonstrated that these groups were not distinguishable on the basis of any measures of OD/SA. The taxonomy identified is compared and contrasted with other reported subgroups of TMD patients and the implications of this classification system for treatment of TMD patients are discussed.

Adaptation, Psychological↗

Phenotypic, genotypic and pathogenic variation among streptomycetes implicated in common scab disease.

This study examines the diversity of streptomycetes causing potato scab using phenotypic identification, 16S rRNA sequence, and pathogenicity measurements. Pathogenicity did not correlate well with taxonomic identification, nor with phylogenetic position. This result suggests that neither phenotypic nor 16S characteristics are diagnostic for scab-causing strains. Additionally, phenotypic characterizations were not fully consistent with phylogenetic relationships. This incongruency highlights the difficulties of taxonomy within the streptomycetes and affirms the need for better integration of genetic and phenotypic characters in the systematics of this group.

DNA, Bacterial↗

HOVERGEN: a database of homologous vertebrate genes.

Comparison of homologous genes is a major step for many studies related to genome structure, function or evolution. Similarity search programs easily find genes homologous to a given sequence. However, only very tedious manual procedures allow the retrieval of all sets of homologous genes sequenced for a given set of species. Moreover, this search often generates errors due to the complexity of data to be managed simultaneously: phylogenetic trees, alignments, taxonomy, sequences and related information. HOVERGEN helps to solve these problems by integrating all this information. HOVERGEN corresponds to GenBank sequences from all vertebrate species, with some data corrected, clarified, or completed, notably to address the problem of redundancy. Coding sequences have been classified in gene families. Protein multiple alignments and phylogenetic trees have been calculated for each family. Sequences and related information have been structured in an ACNUC database which permits complex selections. A graphical interface has been developed to visualize and edit trees. Genes are displayed in color, according to their taxonomy. Users have directly access to all information attached to sequences and to multiple alignments simply by clicking on genes. This graphical tool gives thus a rapid and simple access to all data necessary to interpret homology relationships between genes. HOVERGEN allows the user to easily select sets of homologous vertebrate genes, and thus is particularly useful for comparative sequence analysis, or molecular evolution studies.

Animals↗

Self-reports, spouse ratings, and psychophysiological assessment in a behavioral medicine program: an application of the five-factor model.

This article describes the integration of the five-factor model into assessment procedures used with 109 patients in an outpatient behavioral medicine program. The population, program, assessment techniques, and general findings are explored. A case history involving a psychophysiological disorder is utilized to demonstrate the utility of a taxonomy of personality traits. The NEO-PI, a five-factor instrument, is integrated with other assessment techniques to assist in diagnosis, rapport building with the patient, tailoring treatment techniques and goals to the individual's intrapersonal and interpersonal dynamics, and predicting relative success and compliance with noninvasive self-regulation procedures and psychotherapy.

Adult↗

Easy and interactive taxonomic profiling with Metabuli App.

SUMMARY: Accurate metagenomic taxonomic profiling is critical for understanding microbial communities. However, computational analysis often requires command-line proficiency and high-performance computing resources. To lower these barriers, we developed Metabuli App, an all-in-one desktop application that efficiently runs taxonomic profiling locally on a consumer-grade computer. It features user-friendly graphical interfaces for custom database curation, raw read quality control (QC), taxonomic profiling, and interactive result visualization. AVAILABILITY AND IMPLEMENTATION: GPLv3-licensed source code and prebuilt apps for Windows, macOS, and Linux are available at https://github.com/steineggerlab/Metabuli-App and are archived at https://doi.org/10.5281/zenodo.15876171. Analysis scripts are available at https://github.com/jaebeom-kim/metabuli-app-analysis. The Sankey-based taxonomy visualization component is available at https://github.com/steineggerlab/taxoview for easy integration into other web projects.

Software↗

Notes on an evolutionary medicine.

OBJECTIVE: Medicine does not have a comprehensive theory of health, ill-health, and disease. Its explanations of disease are firmly rooted in pathological anatomy brought about by infection, intoxication, trauma, and mutations in genes. Because medical concepts have been influenced mainly by classical physics, it is mechanistic, materialistic, deterministic, reductionistic, linear-causal, and strongly biased toward proximate explanations of disease. Of late, many thoughtful persons have attempted to provide medicine with a more comprehensive theory that integrates the documented roles of physical, social, environmental, and psychological factors in the etiology and pathogenesis of ill-health and disease (eg, Refs. 1-3). METHOD: Until very recently (4), no one has clearly pointed out that such a comprehensive theory should be guided by the concepts of evolutionary and organismic biology. Darwin's great theory states that evolution is "driven," but not exclusively so, by natural and sexual selection. Natural selection acts on variants that differ in adaptive capacities. Those capable of adaptation survive to reproduce. Failure to adapt reduces reproductive fitness and success, and leads to injury or death. But this formulation could be expanded to regard ill-health and disease as adaptive failures, whereas health usually may be conceived of as equivalent to adaptive success. Adaptations are determined by many factors-genetic, morphological, physiological, and behavioral. Selective pressures are many and varied. However, social primates are at a selective advantage, and are among the most successful species and varieties. Social behavior (eg, support) seems to enhance the chances of survival and reproductive fitness. Physiological (immunological, metabolic, cardiovascular) and behavioral adaptations are geared specifically for interactions with the environment. Emotions have evolved as ways of matching physiological responses with environmental demands and signaling the organism's state. RESULTS: This study will review aspects of evolutionary theory that would lead to a unified, integrated theory of health, illness, and disease, and to a clearer taxonomy in medicine.

Adaptation, Psychological↗

Polyphasic taxonomy of the genus Shewanella and description of Shewanella oneidensis sp. nov.

The genus Shewanella has been studied since 1931 with regard to a variety of topics of relevance to both applied and environmental microbiology. Recent years have seen the introduction of a large number of new Shewanella-like isolates, necessitating a coordinated review of the genus. In this work, the phylogenetic relationships among known shewanellae were examined using a battery of morphological, physiological, molecular and chemotaxonomic characterizations. This polyphasic taxonomy takes into account all available phenotypic and genotypic data and integrates them into a consensus classification. Based on information generated from this study and obtained from the literature, a scheme for the identification of Shewanella species has been compiled. Key phenotypic characteristics were sulfur reduction and halophilicity. Fatty acid and quinone profiling were used to impart an additional layer of information. Molecular characterizations employing small-subunit 16S rDNA sequences were at the limits of resolution for the differentiation of species in some cases. As a result, DNA-DNA hybridization and sequence analyses of a more rapidly evolving molecule (gyrB gene) were performed. Species-specific PCR probes were designed for the gyrB gene and used for the rapid screening of closely related strains. With this polyphasic approach, in addition to the ten described Shewanella species, two new species, Shewanella oneidensis and 'Shewanella pealeana', were recognized; Shewanella oneidensis sp. nov. is described here for the first time.

Animals↗

Structural validation of nursing terminologies.

OBJECTIVE: The purpose of the study is twofold: 1) to explore the applicability of combinatorial terminologies as the basis for building enumerated classifications, and 2) to investigate the usefulness of formal terminological systems for performing such classification and for assisting in the refinement of both combinatorial terminologies and enumerated classifications. DESIGN: A formal model of the beta version of the International Classification for Nursing Practice (ICNP) was constructed in the compositional terminological language GRAIL (GALEN Representation and Integration Language). Terms drawn from the North American Nursing Diagnosis Association Taxonomy I (NANDA taxonomy) were mapped into the model and classified automatically using GALEN technology. MEASUREMENTS: The resulting generated hierarchy was compared with the NANDA taxonomy to assess coverage and accuracy of classification. RESULTS: In terms of coverage, in this study ICNP was able to capture 77 percent of NANDA terms using concepts drawn from five of its eight axes. Three axes-Body Site, Topology, and Frequency-were not needed. In terms of accuracy, where hierarchic relationships existed in the generated hierarchy or the NANDA taxonomy, or both, 6 were identical, 19 existed in the generated hierarchy alone (2 of these were considered suitable for incorporation into the NANDA taxonomy and 17 were considered inaccurate), and 23 appeared in the NANDA taxonomy alone (8 of these were considered suitable for incorporation into ICNP, 9 were considered inaccurate, and 6 reflected different, equally valid perspectives). Sixty terms appeared at the top level, with no indenting, in both the generated hierarchy and the NANDA taxonomy. CONCLUSIONS: With appropriate refinement, combinatorial terminologies such as ICNP have the potential to provide a useful foundation for representing enumerated classifications such as NANDA. Technologies such as GALEN make possible the process of building automatically enumerated classifications while providing a useful means of validating and refining both combinatorial terminologies and enumerated classifications.

Nursing↗

[The species C. diphtheriae].

Corynebacteria (C. diphtheriae var. gravis, mitis, minimus, intermedius, C. belfanti, C. ovis, C. ulceraus) producing diphtheria toxin are found as variants sharply differing from one another morphologically (from long branching rods to coccobacilli), culturally, biochemically and by other signs. The toxin synthesis in them was determined by genetically heterogeneous prophages tox+; tox+ virus exchange is possible between the corynebacteria. Since production of specific toxin, the cardinal sign of C. diphtheriae species, is connected with the genoms of genetically heterogeneous viruses tox+, the circle of whose hosts is very wide, it can be supposed that there is no genetically homogeneous taxonomic category "diphtheriae species". Several species of corynebacteria--lysogenized (toxigenic) or capable of being lysogenized (nontoxigenic) with tox+ viruses are included into the composition of the corynebacteria groups which medicine considers as "species" for over 80 years. A possiblity of becoming a diphtheria causative agent is determined by the capacity of corynebacteria to become infected with the circle of viruses tox+ the DNA of which can become stably integrated with the gene of this bacterium. The mentioned approach to taxonomy is possibly applicable to microorganisms in which the pathogenicity signs (the toxin) were determined, as in C. diphtheriae, in the virus genoms (Bac. botulinus).

Bacteriophage Typing↗

PGTdb: a database providing growth temperatures of prokaryotes.

UNLABELLED: Included in Prokaryotic Growth Temperature database (PGTdb) are a total of 1334 temperature data from 1072 prokaryotic organisms, Bacteria and Archaea: PGTdb integrates microbial growth temperature data from literature survey with their nucleotide/protein sequence and protein structure data from related databases. A direct correlation is observed between the average growth temperature of an organism and the melting temperature of proteins from the organism. Therefore, this database is useful not only for microbiologists to obtain cultivation condition, but also for biochemists and structure biologists to study the correlation between protein sequences/structures and their thermostability. In addition, the taxonomy and ribosomal RNA sequence(s) of an organism are linked through NCBI Taxonomy and the Ribosomal RNA Operon Copy Number Database umdb, respectively. PGTdb is the only integrated database on the Internet to provide the growth temperature data of the prokaryotes and the combined information of their nucleotide/protein sequences, protein structures, taxonomy and phylogeny. AVAILABILITY: http://pgtdb.csie.ncu.edu.tw

Archaea↗

Polyphasic taxonomy of symbiotic rhizobia from wild leguminous plants growing in Egypt.

About 20 strains of rhizobia from wild legumes were characterized based on numerical analysis of phenotypic characteristics, nodulating ability, fatty acid methyl esters (FAME) and SDS-PAGE profiles of whole cell proteins. FAME analysis revealed that palmitic (16:0), stearic (18:0) and arachidonic (20:0) were detected in most of wild-legume rhizobia, the latter being uncommon in fatty acid profiles of Rhizobium and Sinorhizobium. Numerical analysis of FAME classified strains of wild-legume rhizobia into 9 clusters and one heterogeneous group. There was both agreement and disagreement with the clustering data based on phenotypic analysis and FAME analysis. Four strains were grouped together in the same cluster based on both methods. However, 4 another strains, which were placed in one cluster of phenotypic analysis, were distributed in several clusters after FAME analysis. SDS-PAGE of whole-cell proteins revealed that the rhizobial strains exhibited protein profiles with peptide bands ranging from 5-19 band per profile and showed molar mass of 110-183 kDa. As in the case of FAME analysis, numerical analysis of protein bands was compared with clustering of phenotypic analysis. Agreement of the two methods was obvious when clustering some strains but conflicted in the classification of some other strains. However, integration of the three methods could be the basis of a polyphasic taxonomy. The twenty strains of wild-legume rhizobia were finally classified as follows: 12 strains related to Rhizobium leguminosarum, 5 strains related to Sinorhizobium meliloti and 3 strains to Rhizobium spp. Rhizobia nodulating wild herb legumes are among indigenous strains nodulating crop legumes in cultivated as well as noncultivated lands.

Bacterial Proteins↗

GenBank.

The GenBank(R) sequence database (http://www.ncbi.nlm.nih.gov/) incorporates DNA sequences from all available public sources, primarily through the direct submission of sequence data from individual laboratories and from large-scale sequencing projects. Most submitters use the BankIt (WWW) or Sequin programs to send their sequence data. Data exchange with the EMBL Data Library and the DNA Data Bank of Japan helps ensure comprehensive worldwide coverage. GenBank data is accessible through NCBI's integrated retrieval system, Entrez , which integrates data from the major DNA and protein sequence databases along with taxonomy, genome and protein structure information. MEDLINE(R) abstracts from published articles describing the sequences are also included as an additional source of biological annotation. Sequence similarity searching is offered through the BLAST series of database search programs. In addition to FTP, e-mail and server/client versions of Entrez and BLAST, NCBI offers a wide range of World Wide Web retrieval and analysis services of interest to biologists.

Animals↗

GenBank.

The GenBank (Registered Trademark symbol) sequence database incorporates DNA sequences from all available public sources, primarily through the direct submission of sequence data from individual laboratories and from large-scale sequencing projects. Most submitters use the BankIt (Web) or Sequin programs to format and send sequence data. Data exchange with the EMBL Data Library and the DNA Data Bank of Japan helps ensure comprehensive worldwide coverage. GenBank data is accessible through NCBI's integrated retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome and protein structure information. MEDLINE (Registered Trademark symbol) s from published articles describing the sequences are included as an additional source of biological annotation through the PubMed search system. Sequence similarity searching is offered through the BLAST series of database search programs. In addition to FTP, Email, and server/client versions of Entrez and BLAST, NCBI offers a wide range of World Wide Web retrieval and analysis services based on GenBank data. The GenBank database and related resources are freely accessible via the URL: http://www.ncbi.nlm.nih.gov

Amino Acid Sequence↗

GenBank.

The GenBank((R))sequence database incorporates publicly available DNA sequences of >55 000 different organisms, primarily through direct submission of sequence data from individual laboratories and large-scale sequencing projects. Most submissions are made using the BankIt (Web) or Sequin programs and accession numbers are assigned by GenBank staff upon receipt. Data exchange with the EMBL Data Library and the DNA Data Bank of Japan helps ensure comprehensive worldwide coverage. GenBank data is accessible through NCBI's integrated retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome, mapping and protein structure information, plus the biomedical literature via PubMed. Sequence similarity searching is provided by the BLAST family of programs. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. NCBI also offers a wide range of WWW retrieval and analysis services based on GenBank data. The GenBank database and related resources are freely accessible via the NCBI home page at http://www.ncbi.nlm.nih.gov

Animals↗

GenBank.

The GenBank sequence database incorporates publicly available DNA sequences of more than 105 000 different organisms, primarily through direct submission of sequence data from individual laboratories and large-scale sequencing projects. Most submissions are made using the BankIt (web) or Sequin programs and accession numbers are assigned by GenBank staff upon receipt. Data exchange with the EMBL Data Library and the DNA Data Bank of Japan helps ensure comprehensive worldwide coverage. GenBank data is accessible through NCBI's integrated retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome, mapping, protein structure and domain information, and the biomedical literature via PubMed. Sequence similarity searching is provided by the BLAST family of programs. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. NCBI also offers a wide range of World Wide Web retrieval and analysis services based on GenBank data. The GenBank database and related resources are freely accessible via the NCBI home page at http://www.ncbi.nlm.nih.gov.

Animals↗

GenBank.

GenBank (R) is a comprehensive sequence database that contains publicly available DNA sequences for more than 119 000 different organisms, obtained primarily through the submission of sequence data from individual laboratories and batch submissions from large-scale sequencing projects. Most submissions are made using the BankIt (web) or Sequin programs and accession numbers are assigned by GenBank staff upon receipt. Daily data exchange with the EMBL Data Library in the UK and the DNA Data Bank of Japan helps ensure worldwide coverage. GenBank is accessible through NCBI's retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome, mapping, protein structure and domain information, and the biomedical journal literature via PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. To access GenBank and its related retrieval and analysis services, go to the NCBI home page at: http://www.ncbi.nlm.nih.gov.

Animals↗

GenBank: update.

GenBank is a comprehensive database that contains publicly available DNA sequences for more than 140 000 named organisms, obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects. Most submissions are made using the BankIt (web) or Sequin program and accession numbers are assigned by GenBank staff upon receipt. Daily data exchange with the EMBL Data Library in the UK and the DNA Data Bank of Japan helps ensure worldwide coverage. GenBank is accessible through NCBI's retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome mapping, protein structure and domain information, and the biomedical journal literature via PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. To access GenBank and its related retrieval and analysis services, go to the NCBI home page at: http://www.ncbi.nlm.nih.gov.

Animals↗

GenBank.

GenBank is a comprehensive database that contains publicly available DNA sequences for more than 165,000 named organisms, obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects. Most submissions are made using the web-based BankIt or standalone Sequin programs and accession numbers are assigned by GenBank staff upon receipt. Daily data exchange with the EMBL Data Library in the UK and the DNA Data Bank of Japan helps to ensure worldwide coverage. GenBank is accessible through NCBI's retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome, mapping, protein structure and domain information, and the biomedical journal literature via PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. To access GenBank and its related retrieval and analysis services, go to the NCBI Homepage at http://www.ncbi.nlm.nih.gov.

Animals↗