God, faith, and death: the impact of biological and religious correlates on mortality

Marked denominational mortality differentials have been documented for various time periods and geographic locations. From a historical perspective, death rates among Catholics are often found to be higher than those among Protestants or Jews. Using a conceptual model based on the life history approach, biomedical and sociocultural factors of causation are extrapolated. In total, 5513 historical entries from family reconstitution were available. Selection of data was guided by the inclusion of information about religious affiliation. Only married couples with children as well as single mothers were considered. Of these, 1855 entries were of Roman Catholic (C), 1143 of Lutheran/Protestant (L/P), and 609 of Reformed Calvinist (R) denomination. With a focus on both adult and subadult mortality, this study attempted to document that the cultural patterns associated with religious behavior are merely proximate determinants, while the ultimate causes are biological in nature. Survival prospects depended on demographic and familial characteristics such as age-at-first-birth, spacing and stopping behavior, infant care, and targeted sibship size, rather than religiosity.     

UTRdb: a specialized database of 5' and 3' untranslated regions of eukaryotic mRNAs.

The 5' and 3' untranslated regions of eukaryotic mRNAs may play a crucial role in the regulation of gene expression controlling mRNA localization, stability and translational efficiency. For this reason we developed UTRdb (http://bigarea.area.ba.cnr.it:8000/BioWWW/#U TRdb), a specialized database of 5' and 3' untranslated sequences of eukaryotic mRNAs cleaned from redundancy. UTRdb entries are enriched with specialized information not present in the primary databases including the presence of nucleotide sequence patterns already demonstrated by experimental analysis to have some functional role. All these patterns have been collected in the UTRsite database so that it is possible to search any input sequence for the presence of annotated functional motifs. Furthermore, UTRdb entries have been annotated for the presence of repetitive elements.     

KinMutBase, a database of human disease-causing protein kinase mutations

KinMutBase (http://www.uta.fi/imt/bioinfo/KinMutBase/) is a registry of mutations in human protein kinases related to disorders. Kinases are essential cellular signaling molecules, in which mutations can lead to diseases, including immunodeficiencies, cancers and endocrine disorders. The first release of KinMutBase contained information for protein tyrosine kinases. The current release includes also serine/threonine protein kinases, as well as an update of the tyrosine kinases. There are 251 entries altogether, representing 337 families and 621 patients. Mutations appear both in conserved hallmark residues of the kinases as well as in non-homologous sites. The KinMutBase WWW pages provide plenty of information, namely mutation statistics and display, clickable sequences with mutations and changes to restriction enzyme patterns.     

KinMutBase, a database of human disease-causing protein kinase mutations.

KinMutBase (http://www.uta.fi/laitokset/imt/KinMut Base.html) is a registry of mutations in human protein kinases related to disorders. Kinases are essential cellular signalling molecules, in which mutations can lead into diseases including, e.g., immunodeficiencies, cancers and endocrine disorders. The first release of KinMutBase contains information for nine protein tyrosine kinases. There are altogether 170 entries representing 273 families and 403 patients. Mutations appear both in conserved hallmark residues of the kinases as well as in non-homologous sites. The KinMutBase WWW pages provide plenty of information, namely mutation statistics and display, clickable sequences with mutations, restriction enzyme patterns and online submission.     

Observations on the origin of phaseolus polyanthus Greenman

Total seed protein variability in a sample of 163 entries of year-bean (Phaseolus polyanthus), including wild, feral and cultivated forms of the whole range of distribution in Latin America was studied using I-dimensional SDS/PAGE and 2-dimensional IEF-SDS/PAGE. Ten different patterns were observed in this crop. Eight of these are found in the Mesoamerican materials, the other two of those in the northern Andes. The highest diversity is found in the wild ancestral forms present in central Guatemala with six patterns. The ‘b’pattern predominant in all Mesoamerican cultivated materials is also present at low frequency in Colombia. The ‘k’ pattern, predominant in the northern Andes, is present in Costa Rica. These results together with information on indigenous names for the crop suggest that there is a single gene pool domesticated from a wild ancestor still present in Guatemala, and distributed afterwards to the northern Andes, but with a clinal genetic drift from Mesoamerica to the Andean region.     

Mass spectrometric protein structure characterization reveals cause of migration differences of haptoglobin alpha chains in two-dimensional gel electrophoresis

Haptoglobin belongs to the major constituents of plasma and acts as hemoglobin-binding and acute-phase protein. Due to the occurrence of three major allelic variants and further structural modifications, the alpha chains of haptoglobin form varying spot patterns in two-dimensional gel electrophoresis (2-DE) gels, which is generally observed in differential proteome analyses using plasma or related body fluids of humans. In the present study plasma samples from 10 donors of initially unknown haptoglobin phenotype were separated by 2-DE and tryptic digests of excised haptoglobin alpha chain spots were analyzed by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) and MALDI-quadrupole ion trap TOF-MS. Haptoglobin alpha1S, alpha1F, as well as alpha2 chains were found to occur each with at least three structurally differing protein species: (i) the unmodified form, which corresponds to the sequence database entries; (ii) derivatives, in which asparagine at position five is deamidated to aspartic acid; and (iii) derivatives with an additional C-terminal arginine residue. These structural variants account for the most commonly observed spot patterns of haptoglobin alpha chains in Coomassie-stained gels. Additionally, a minor derivative of the haptoglobin alpha2 chain carrying both modifications, deamidation at position five and the C-terminal arginine residue, was identified. Theoretical pI values of the characterized structural variants are, consistent with their observed migration in the 2-DE gels.     

UTRdb and UTRsite: specialized databases of sequences and functional elements of 5' and 3' untranslated regions of eukaryotic mRNAs

The 5' and 3' untranslated regions of eukaryotic mRNAs may play a crucial role in the regulation of gene expression controlling mRNA localization, stability and translational efficiency. For this reason we developed UTRdb, a specialized database of 5' and 3' untranslated sequences of eukaryotic mRNAs cleaned from redundancy. UTRdb entries are enriched with specialized information not present in the primary databases including the presence of nucleotide sequence patterns already demonstrated by experimental analysis to have some functional role. All these patterns have been collected in the UTRsite database so that it is possible to search any input sequence for the presence of annotated functional motifs. Furthermore, UTRdb entries have been annotated for the presence of repetitive elements. All internet resources implemented for retrieval and functional analysis of 5' and 3' untranslated regions of eukaryotic mRNAs are accessible at http://bigarea.area.ba.cnr.it:8000/EmbIT/UTRH ome/     

Comparative profiling of the mammalian mitochondrial proteome: multiple aconitase-2 isoforms including N-formylkynurenine modifications as part of a protein biomarker signature for reactive oxidative species

The activity of mitochondria induces, as a byproduct, a variety of post-translational modifications in associated proteins, which have functional downstream consequences for processes such as apoptosis, autophagy, and plasticity; e.g., reactive oxygen species (ROS), which induce N-formyl-kynurenine from oxidized tryptophans in certain mitochondrial proteins which are localized in close spatial proximity to their source. This type of fast molecular changes has profound influence on cell death and survival with implications in a number of pathologies. The quantitative and differential analysis of bovine heart mitochondria by four 2D-PAGE methods, including 2D-PAGE with high-resolution IEF as first dimension, revealed that due to limited resolution, those methods employing blue native-, tricine-urea-, and 16-BAC-PAGE as the first dimension are less applicable for the differential quantitative analysis of redundant protein spots which might give insight into post-translational modifications that are relevant in age- and stress-related changes. Moreover, 2D-PAGE with high resolution IEF was able to resolve a surprisingly large number of membrane proteins from mitochondrial preparations. For aconitase-2, an enzyme playing an important role in mitochondrial aging, a more thorough molecular analysis of all separable isoforms was performed, leading to the identification of two particular N-formylkynurenine modifications. Next to protein redundancy, native protein-protein interactions, with the potential of relating certain post-translational modification patterns to distinct oligomeric states, e.g., oxidative phosphorylation super complexes, might provide novel and (patho-) physiologically relevant information. Among proteins identified, 14 new proteins (GenBank entries), previously not associated with mitochondria, were found.     

Hum-mPLoc: an ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites

Proteins may simultaneously exist at, or move between, two or more different subcellular locations. Proteins with multiple locations or dynamic feature of this kind are particularly interesting because they may have some very special biological functions intriguing to investigators in both basic research and drug discovery. For instance, among the 6408 human protein entries that have experimentally observed subcellular location annotations in the Swiss-Prot database (version 50.7, released 19-Sept-2006), 973 ( approximately 15%) have multiple location sites. The number of total human protein entries (except those annotated with "fragment" or those with less than 50 amino acids) in the same database is 14,370, meaning a gap of (14,370-6408)=7962 entries for which no knowledge is available about their subcellular locations. Although one can use the computational approach to predict the desired information for the gap, so far all the existing methods for predicting human protein subcellular localization are limited in the case of single location site only. To overcome such a barrier, a new ensemble classifier, named Hum-mPLoc, was developed that can be used to deal with the case of multiple location sites as well. Hum-mPLoc is freely accessible to the public as a web server at http://202.120.37.186/bioinf/hum-multi. Meanwhile, for the convenience of people working in the relevant areas, Hum-mPLoc has been used to identify all human protein entries in the Swiss-Prot database that do not have subcellular location annotations or are annotated as being uncertain. The large-scale results thus obtained have been deposited in a downloadable file prepared with Microsoft Excel and named "Tab_Hum-mPLoc.xls". This file is available at the same website and will be updated twice a year to include new entries of human proteins and reflect the continuous development of Hum-mPLoc.     

Evaluating lepidopteran defoliation resistance in soybean breeding lines containing the stink bug (Hemiptera: Pentatomidae) resistance IAC-100 cultivar in their pedigrees

Sixty-five soybean, Glycine max (L.) Merrill, breeding lines containing 'IAC-100' in their pedigrees were evaluated for their resistance to lepidopteran defoliation in replicated field trials during 2001-2005. Three soybean cultivars, IAC-100 (with resistance to stink bug [Hemiptera: Pentatomidael feeding), 'Dillon', and 'Hutcheson', also were included in the evaluations. The percentage defoliation among these 68 entries ranged from 4.3 to 28.3% in 2001 and from 35.0 to 99.0% in 2002. Lepidopteran caterpillars, primarily Anticarsia gemmatalis Hiibner, but also some Pseudoplusia includens (Walker) and Hypena scabra (F.), peaked at 14.3 per row-meter on 11 September 2001 and at 39.7 per row-meter on 22 August 2002. Twenty-six entries with better resistance potential, plus two cultivars, were selected for continued evaluations in 2003 and 2004. Defoliation ranged from 23.3 to 56.7% among the 28 entries in 2003 and from 16.3 to 42.5% in 2004, with peak caterpillar densities of 20.3 per row-meter on 17 September 2003 and 14.5 per row-meter on 8 September 2004. From these differential responses, 12 entries were included for advanced resistance evaluations in 2005. The breeding line entries 52 (IAC-100 X V89-1301), 23 (IAC-100 X V89-1301), and 14 (IAC-100 X V71-370), plus entry 37 (IAC-100) had lower defoliation rankings during all 5 yr of this study, with the entry having the lowest defoliation ranked 1 and the entry with highest defoliation ranked either 68, 28, or 12, based on the number of entries evaluated each year. The overall mean rankings of these four entries over the 5 yr of this study were 4.4, 3.0, 4.2, and 4.6, respectively. A fifth entry, 30 (IAC-100 x V71-370), was in the top group with lower defoliation in 4 yr of this 5-yr study, and it had an overall mean ranking of 5.6. A sixth entry, 35 (Hutcheson X IAC-100), had moderate resistance (overall ranking of 19.2) compared with the standard Hutcheson (30.8 ranking of a possible highest ranking of 40.8). Entry 35 also yielded as well as the standard cultivars evaluated in the study. These lines will provide excellent sources for future soybean germplasm and varietal resistance development.     

The PCDDB (Protein Circular Dichroism Data Bank): A Bioinformatics Resource for Protein Characterisations and Methods Development

The Protein Circular Dichroism Data Bank (PCDDB) [https://pcddb.cryst.bbk.ac.uk] is an established resource for the biological, biophysical, chemical, bioinformatics, and molecular biology communities. It is a freely-accessible repository of validated protein circular dichroism (CD) spectra and associated sample and metadata, with entries having links to other bioinformatics resources including, amongst others, structure (PDB), AlphaFold, and sequence (UniProt) databases, as well as to published papers which produced the data and cite the database entries. It includes primary (unprocessed) and final (processed) spectral data, which are available in both text and pictorial formats, as well as detailed sample and validation information produced for each of the entries. Recently the metadata content associated with each of the entries, as well as the number and structural breadth of the protein components included, have been expanded. The PCDDB includes data on both wild-type and mutant proteins, and because CD studies primarily examine proteins in solution, it also contains examples of the effects of different environments on their structures, plus thermal unfolding/folding series. Methods for both sequence and spectral comparisons are included.The data included in the PCDDB complement results from crystal, cryo-electron microscopy, NMR spectroscopy, bioinformatics characterisations and classifications, and other structural information available for the proteins via links to other databases. The entries in the PCDDB have been used for the development of new analytical methodologies, for interpreting spectral and other biophysical data, and for providing insight into structures and functions of individual soluble and membrane proteins and protein complexes.     

Analysis of yield and oil from a series of canola breeding trials. Part I. Fitting factor analytic mixed models with pedigree information

In this paper multiplicative mixed models have been used for the analysis of multi-environment trial (MET) data for canola oil and grain yield. Information on pedigrees has been included to allow for the modelling of additive and nonadditive genetic effects. The MET data set included a total of 19 trials (synonymous with sites or environments), which were sown across southern Australia in 2007 and 2008. Each trial was designed as a p-rep design using DiGGeR with the default prespecified spatial model. Lines in their first year of testing were unreplicated, whereas there were two or three replications of advanced lines or varieties. Pedigree information on a total of 578 entries was available, and there were 69 entries that had unknown pedigrees. The degree of inbreeding varied from 0 (55 entries) to nearly fully inbred (337 entries). Subsamples of 2 g harvested grain were taken from each plot for determination of seed oil percentage by near infrared reflectance spectroscopy. The MET analysis for both yield and oil modelled genetic effects in different trials using factor analytic models and the residual plot effects for each trial were modelled using spatial techniques. Models in which pedigree information was included provided significantly better fits to both yield and oil data.     

Analysis and simulation of a stochastic, discrete-individual model of STD transmission with partnership concurrency

Deterministic differential equation models indicate that partnership concurrency and non-homogeneous mixing patterns play an important role in the spread of sexually transmitted infections. Stochastic discrete-individual simulation studies arrive at similar conclusions, but from a very different modeling perspective. This paper presents a stochastic discrete-individual infection model that helps to unify these two approaches to infection modeling. The model allows for both partnership concurrency, as well as the infection, recovery, and reinfection of an individual from repeated contact with a partner, as occurs with many mucosal infections. The simplest form of the model is a network-valued Markov chain, where the network's nodes are individuals and arcs represent partnerships. Connections between the differential equation and discrete-individual approaches are constructed with large-population limits that approximate endemic levels and equilibrium probability distributions that describe partnership concurrency. A more general form of the discrete-individual model that allows for semi-Markovian dynamics and heterogeneous contact patterns is implemented in simulation software. Analytical and simulation results indicate that the basic reproduction number R(0) increases when reinfection is possible, and the epidemic rate of rise and endemic levels are not related by 1-1/R(0), when partnerships are not point-time processes.     

The determination of the parameters of anxiety in C57BL/6J, CBA/Lac and BALB/c mice under the influence of a serotonin C1A receptor agonist [correction of antagonist

Three strains of inbred mice, C57BL/6J (C57), CBA/Lac (CBA), and BALB/c (BALB) were examined in the elevated plus-maze after the injection of an anxiotropic drug, a 5-HT1A agonist ipsapirone (3 mg/kg; i.p.; 30 min). Treatment with ipsapirone had different anxiogenic effects on the behavior of mice in accordance with their genotype. In C57 mice the drug produced a significant decrease in the percentage of the open-arm time and the number of open-arm entries as well as in the number of full entries (when an animal was between the half and the end of an open-arm) and in the number of head dippings. Besides; the number of C57 mice which performed full entries after the ipsapirone injection decreased. In CBA mice ipsapirone reduced the number of enclosed-arm entries, the number of the passages from one enclosed arm to another and the number of head dippings. Only the number of passages dropped in BALB mice after the drug injection. Probably, just these parameters reflect anxiety in mice of the genotypes under study. It was suggested that the sensitivity of 5-HT1A receptors in C57 mice is the highest.     

An automated system designed for large scale NMR data deposition and annotation: application to over 600 assigned chemical shift data entries to the BioMagResBank from the Riken Structural Genomics/Proteomics Initiative internal database

Biomolecular NMR chemical shift data are key information for the functional analysis of biomolecules and the development of new techniques for NMR studies utilizing chemical shift statistical information. Structural genomics projects are major contributors to the accumulation of protein chemical shift information. The management of the large quantities of NMR data generated by each project in a local database and the transfer of the data to the public databases are still formidable tasks because of the complicated nature of NMR data. Here we report an automated and efficient system developed for the deposition and annotation of a large number of data sets including (1)H, (13)C and (15)N resonance assignments used for the structure determination of proteins. We have demonstrated the feasibility of our system by applying it to over 600 entries from the internal database generated by the RIKEN Structural Genomics/Proteomics Initiative (RSGI) to the public database, BioMagResBank (BMRB). We have assessed the quality of the deposited chemical shifts by comparing them with those predicted from the PDB coordinate entry for the corresponding protein. The same comparison for other matched BMRB/PDB entries deposited from 2001-2011 has been carried out and the results suggest that the RSGI entries greatly improved the quality of the BMRB database. Since the entries include chemical shifts acquired under strikingly similar experimental conditions, these NMR data can be expected to be a promising resource to improve current technologies as well as to develop new NMR methods for protein studies.     

Validation of archived chemical shifts through atomic coordinates

The public archives containing protein information in the form of NMR chemical shift data at the BioMagResBank (BMRB) and of 3D structure coordinates at the Protein Data Bank are continuously expanding. The quality of the data contained in these archives, however, varies. The main issue for chemical shift values is that they are determined relative to a reference frequency. When this reference frequency is set incorrectly, all related chemical shift values are systematically offset. Such wrongly referenced chemical shift values, as well as other problems such as chemical shift values that are assigned to the wrong atom, are not easily distinguished from correct values and effectively reduce the usefulness of the archive. We describe a new method to correct and validate protein chemical shift values in relation to their 3D structure coordinates. This method classifies atoms using two parameters: the per‐atom solvent accessible surface area (as calculated from the coordinates) and the secondary structure of the parent amino acid. Through the use of Gaussian statistics based on a large database of 3220 BMRB entries, we obtain per‐entry chemical shift corrections as well as Z scores for the individual chemical shift values. In addition, information on the error of the correction value itself is available, and the method can retain only dependable correction values. We provide an online resource with chemical shift, atom exposure, and secondary structure information for all relevant BMRB entries ( http://www.ebi.ac.uk/pdbe/nmr/vasco ) and hope this data will aid the development of new chemical shift‐based methods in NMR. Proteins 2010. © 2010 Wiley‐Liss, Inc.     

Comparison of restriction fragment length polymorphisms in wild and cultivated barley.

This study was undertaken to assess the relative level of molecular diversity between cultivated barley, Hordeum vulgare ssp. vulgare (HV), and one of its wild relatives, H. vulgare ssp. spontaneum (HS), and to identify possible restriction fragment length polymorphism (RFLP) patterns that may provide information concerning the phylogenetic relationship between these two barley groups. A total of 363 barley accessions were assayed, including 95 entries of HV collected from 36 major barley growing countries of the world and 268 entries of HS from 25 natural populations in Israel and Iran. The 26 RFLP marker loci used in the survey represent single-copy, low-copy, and repetitive DNA sequences and mark all of the chromosome arms. A randomization test, on the basis of equal sample sizes, showed that HS is more polymorphic than HV, as evaluated by the number of alleles and diversity indices. The analysis also indicated extensive RFLP differentiation between these two barley groups; highly significant differences of allele frequencies were detected at the majority of the loci. The HV sample can be subdivided according to winter or spring growth habits, and two- or six-rowed spikes. Analysis of genetic polymorphisms in these subgroups showed that levels of diversity were about equal in spring and winter groups and also in the groups with two- and six-rowed spikes. However, significant differences of allelic frequencies were detected between subgroups of the two divisions.     

Biological hierarchies and the nature of extinction

Hierarchy theory recognises that ecological and evolutionary units occur in a nested and interconnected hierarchical system, with cascading effects occurring between hierarchical levels. Different biological disciplines have routinely come into conflict over the primacy of different forcing mechanisms behind evolutionary and ecological change. These disconnects arise partly from differences in perspective (with some researchers favouring ecological forcing mechanisms while others favour developmental/historical mechanisms), as well as differences in the temporal framework in which workers operate. In particular, long‐term palaeontological data often show that large‐scale (macro) patterns of evolution are predominantly dictated by shifts in the abiotic environment, while short‐term (micro) modern biological studies stress the importance of biotic interactions. We propose that thinking about ecological and evolutionary interactions in a hierarchical framework is a fruitful way to resolve these conflicts. Hierarchy theory suggests that changes occurring at lower hierarchical levels can have unexpected, complex effects at higher scales due to emergent interactions between simple systems. In this way, patterns occurring on short‐ and long‐term time scales are equally valid, as changes that are driven from lower levels will manifest in different forms at higher levels. We propose that the dual hierarchy framework fits well with our current understanding of evolutionary and ecological theory. Furthermore, we describe how this framework can be used to understand major extinction events better. Multi‐generational attritional loss of reproductive fitness (MALF) has recently been proposed as the primary mechanism behind extinction events, whereby extinction is explainable solely through processes that result in extirpation of populations through a shutdown of reproduction. While not necessarily explicit, the push to explain extinction through solely population‐level dynamics could be used to suggest that environmentally mediated patterns of extinction or slowed speciation across geological time are largely artefacts of poor preservation or a coarse temporal scale. We demonstrate how MALF fits into a hierarchical framework, showing that MALF can be a primary forcing mechanism at lower scales that still results in differential survivorship patterns at the species and clade level which vary depending upon the initial environmental forcing mechanism. Thus, even if MALF is the primary mechanism of extinction across all mass extinction events, the primary environmental cause of these events will still affect the system and result in differential responses. Therefore, patterns at both temporal scales are relevant.     

Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites

One of the critical challenges in predicting protein subcellular localization is how to deal with the case of multiple location sites. Unfortunately, so far, no efforts have been made in this regard except for the one focused on the proteins in budding yeast only. For most existing predictors, the multiple-site proteins are either excluded from consideration or assumed even not existing. Actually, proteins may simultaneously exist at, or move between, two or more different subcellular locations. For instance, according to the Swiss-Prot database (version 50.7, released 19-Sept-2006), among the 33,925 eukaryotic protein entries that have experimentally observed subcellular location annotations, 2715 have multiple location sites, meaning about 8% bearing the multiplex feature. Proteins with multiple locations or dynamic feature of this kind are particularly interesting because they may have some very special biological functions intriguing to investigators in both basic research and drug discovery. Meanwhile, according to the same Swiss-Prot database, the number of total eukaryotic protein entries (except those annotated with "fragment" or those with less than 50 amino acids) is 90,909, meaning a gap of (90,909-33,925) = 56,984 entries for which no knowledge is available about their subcellular locations. Although one can use the computational approach to predict the desired information for the blank, so far, all the existing methods for predicting eukaryotic protein subcellular localization are limited in the case of single location site only. To overcome such a barrier, a new ensemble classifier, named Euk-mPLoc, was developed that can be used to deal with the case of multiple location sites as well. Euk-mPLoc is freely accessible to the public as a Web server at http://202.120.37.186/bioinf/euk-multi. Meanwhile, to support the people working in the relevant areas, Euk-mPLoc has been used to identify all eukaryotic protein entries in the Swiss-Prot database that do not have subcellular location annotations or are annotated as being uncertain. The large-scale results thus obtained have been deposited at the same Web site via a downloadable file prepared with Microsoft Excel and named "Tab_Euk-mPLoc.xls". Furthermore, to include new entries of eukaryotic proteins and reflect the continuous development of Euk-mPLoc in both the coverage scope and prediction accuracy, we will timely update the downloadable file as well as the predictor, and keep users informed by publishing a short note in the Journal and making an announcement in the Web Page.