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A new concept of sequence data distribution on wide area networks.

Accepted concepts in distributed applications design have been applied in the development of a network-based system for the synchronization of remote sequence database access sites by an incremental update mechanism. Computer hardware requirements, network bandwidth, and stability considerations make centralized access to essential computerized resources undesirable. A network model has been developed to distribute access over a collection of remotely situated computer centers. The formally independent database-access nodes join to form a heterogeneous, long distance, co-operating network that can compensate for the deficiencies of unstable network links thereby ensuring uninterrupted access to the resource. In order to guarantee consistency among these nodes, several distributed transaction protocols have been investigated; based on these results, a prototype system has been implemented. A layered software architecture makes the distributed transaction protocol transparent to the individual database system and the underlying network. Individual components of this network communicate by means of Remote Procedure Calls (RPCs). A prototype software system operates to synchronize up to data copies of the PIR-International Protein Sequence Database (Barker et al., 1993) at a number of different sites using the public Internet as the transport vehicle.

Computer Communication Networks↗

Using information from public Arabidopsis databases to aid research.

The volume of Arabidopsis information has increased enormously in recent years as a result of the sequencing of the genome and other large-scale genomic projects. Much of the data are stored in public databases, where data are organized, analyzed, and made freely accessible to the research community. These databases are resources that researchers can utilize for making predictions and developing testable hypotheses. The methods in this chapter describe ways to access and utilize Arabidopsis data and genomic resources found in databases.

Access to Information↗

The mitochondrial genome of Strongyloides stercoralis (Nematoda) - idiosyncratic gene order and evolutionary implications.

The complete mitochondrial genome sequence of the parasitic nematode Strongyloides stercoralis was determined, and its organisation and structure compared with other nematodes for which complete mitochondrial sequence data were available. The mitochondrial genome of S. stercoralis is 13,758 bp in size and contains 36 genes (all transcribed in the clockwise direction) but lacks the atp8 gene. This genome has a high T content (55.9%) and a low C content (8.3%). Corresponding to this T content, there are 16 (poly-T) tracts of >/=12 Ts distributed across the genome. In protein-coding genes, the T bias is greatest (76.4%) at the third codon position compared with the first and second codon positions. Also, the C content is higher at the first (9.3%) and second (13.4%) codon positions than at the third (2%) position. These nucleotide biases have a significant effect on predicted codon usage patterns and, hence, on amino acid compositions of the mitochondrial proteins. Interestingly, six of the 12 protein-coding genes are predicted to employ a unique initiation codon (TTT), which has not yet been reported for any other animal mitochondrial genome. The secondary structures predicted for the 22 transfer RNA (trn) genes and the two ribosomal RNA (rrn) genes are similar to those of other nematodes. In contrast, the gene arrangement in the mitochondrial genome of S. stercoralis is different from all other nematodes studied to date, revealing only a limited number of shared gene boundaries (atp6-nad2 and cox2-rrnL). Evolutionary analyses of mitochondrial nucleotide and amino acid sequence data sets for S. stercoralis and seven other nematodes demonstrate that the mitochondrial genome provides a rich source of phylogenetically informative characters. In conclusion, the S. stercoralis mitochondrial genome, with its unique gene order and characteristics, should provide a resource for comparative mitochondrial genomics and systematics studies of parasitic nematodes.

Amino Acid Sequence↗

A shotgun optical map of the entire Plasmodium falciparum genome.

The unicellular parasite Plasmodium falciparum is the cause of human malaria, resulting in 1.7-2.5 million deaths each year. To develop new means to treat or prevent malaria, the Malaria Genome Consortium was formed to sequence and annotate the entire 24.6-Mb genome. The plan, already underway, is to sequence libraries created from chromosomal DNA separated by pulsed-field gel electrophoresis (PFGE). The AT-rich genome of P. falciparum presents problems in terms of reliable library construction and the relative paucity of dense physical markers or extensive genetic resources. To deal with these problems, we reasoned that a high-resolution, ordered restriction map covering the entire genome could serve as a scaffold for the alignment and verification of sequence contigs developed by members of the consortium. Thus optical mapping was advanced to use simply extracted, unfractionated genomic DNA as its principal substrate. Ordered restriction maps (BamHI and NheI) derived from single molecules were assembled into 14 deep contigs corresponding to the molecular karyotype determined by PFGE (ref. 3).

Animals↗

Effect of the relevance and position of the target stimuli on P300 and reaction time.

The relationships among stimulus relevance and the position of target stimuli in a sequence with the P300 component of event related brain potentials and reaction time were investigated. An auditory oddball series was presented to 42 healthy, young, right-handed female participants. In the series, participants were to ignore the standard stimuli and count the deviants from 1 to 6. When reaching the count of 6, they had to restart their count from 1 again. While counting, half of the sample had to press a key after the deviants, numbers 1, 2 and 3, but not after the numbers 4, 5 and 6. The other half of the sample had to press the key when numbers 4, 5 and 6 rather than when numbers 1, 2, 3 appeared. The P300 amplitude of the more relevant (count and press) stimuli was higher than that of the P300 amplitude of the less relevant (count only) stimuli. This is associated with a greater allocation of cognitive resources to the more relevant stimuli. An interaction was also found between the position of the target stimuli in a sequence and the stimulus relevance, which is attributed to the cognitive preparation. Furthermore, the reaction time tended to increase along the sequence of the more relevant stimuli, due perhaps to an increase in physical fatigue.

Adolescent↗

UTRdb and UTRsite: specialized databases of sequences and functional elements of 5' and 3' untranslated regions of eukaryotic mRNAs. Update 2002.

The 5'- and 3'-untranslated regions (5'- and 3'-UTRs) of eukaryotic mRNAs are known to play a crucial role in post-transcriptional regulation of gene expression modulating nucleo-cytoplasmic mRNA transport, translation efficiency, subcellular localization and stability. UTRdb is 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 we implemented for retrieval and functional analysis of 5'- and 3'-UTRs of eukaryotic mRNAs are accessible at http://bighost.area.ba.cnr.it/BIG/UTRHome/.

3' Untranslated Regions↗

Evolutionary HMMs: a Bayesian approach to multiple alignment.

MOTIVATION: We review proposed syntheses of probabilistic sequence alignment, profiling and phylogeny. We develop a multiple alignment algorithm for Bayesian inference in the links model proposed by Thorne et al. (1991, J. Mol. Evol., 33, 114-124). The algorithm, described in detail in Section 3, samples from and/or maximizes the posterior distribution over multiple alignments for any number of DNA or protein sequences, conditioned on a phylogenetic tree. The individual sampling and maximization steps of the algorithm require no more computational resources than pairwise alignment. METHODS: We present a software implementation (Handel) of our algorithm and report test results on (i) simulated data sets and (ii) the structurally informed protein alignments of BAliBASE (Thompson et al., 1999, Nucleic Acids Res., 27, 2682-2690). RESULTS: We find that the mean sum-of-pairs score (a measure of residue-pair correspondence) for the BAliBASE alignments is only 13% lower for Handelthan for CLUSTALW(Thompson et al., 1994, Nucleic Acids Res., 22, 4673-4680), despite the relative simplicity of the links model (CLUSTALW uses affine gap scores and increased penalties for indels in hydrophobic regions). With reference to these benchmarks, we discuss potential improvements to the links model and implications for Bayesian multiple alignment and phylogenetic profiling. AVAILABILITY: The source code to Handelis freely distributed on the Internet at http://www.biowiki.org/Handel under the terms of the GNU Public License (GPL, 2000, http://www.fsf.org./copyleft/gpl.html).

Algorithms↗

Effects of a secondary task on "implicit" sequence learning: learning or performance?

Traditionally, implicit learning has been defined in terms of a lack of awareness of the process and products of learning. In the face of a number of conceptual and empirical difficulties with this definition, it has recently been suggested instead that the critical feature of implicit learning is that it proceeds without making any demands on attentional resources. As disconfirmatory evidence for this, we describe the results of two experiments which each used a sequential reaction time task. With a tone-counting secondary task, measures of sequence learning were significantly affected by whether training occurred under single- or dual-task conditions, regardless of whether testing took place under single- or dual-task conditions.

Adult↗

Schistosoma mansoni genome project: an update.

A schistosome genome project was initiated by the World Health Organization in 1994 with the notion that the best prospects for identifying new targets for drugs, vaccines, and diagnostic development lie in schistosome gene discovery, development of chromosome maps, whole genome sequencing and genome analysis. Schistosoma mansoni has a haploid genome of 270 Mb contained on 8 pairs of chromosomes. It is estimated that the S. mansoni genome contains between 15000 and 25000 genes. There are approximately 16689 ESTs obtained from diverse libraries representing different developmental stages of S. mansoni, deposited in the NCBI EST database. More than half of the deposited sequences correspond to genes of unknown function. Approximately 40-50% of the sequences form unique clusters, suggesting that approximately 20-25% of the total schistosome genes have been discovered. Efforts to develop low resolution chromosome maps are in progress. There is a genome sequencing program underway that will provide 3X sequence coverage of the S. mansoni genome that will result in approximately 95% gene discovery. The genomics era has provided the resources to usher in the era of functional genomics that will involve microarrays to focus on specific metabolic pathways, proteomics to identify relevant proteins and protein-protein interactions to understand critical parasite pathways. Functional genomics is expected to accelerate the development of control and treatment strategies for schistosomiasis.

Animals↗

Virtual resource development in the glycosciences.

The development of Internet-based virtual resources is a relatively new area of scientific and technical activity that is currently undergoing rapid expansion. Major factors fuelling recent growth include the emergence of multimedia capabilities through the rapid evolution of the World Wide Web, the reduction in cost of high quality personal computers and graphics workstations and the provision of mass-marketed provider services. Prior to 1995 the presence of Internet resources in the glycosciences was virtually non-existent. Existing scientific knowledge was primarily made available on the Net through the provision of databases from gopher and ftp sites. A particular example in the glycosciences is the Carbbank database of biological carbohydrate sequences. We will describe here our efforts in 1994-95 in establishing The Glycoscience Network (TGN, http:@ bellatrix.pcl.ox.ac.uk/TGN/). These activities included the establishment of a newsgroup, mailing lists, Web resources and the running of the First Electronic Glycoscience Conference (EGC-1, http:@bellatrix.pcl.ox.ac.uk/egc/). EGC-1 included many novel initiatives in the glycosciences including electronic posters and papers, a Virtual Conference Centre, a Web-based hyperglossary, Virtual Trade and Employment Centres, refereed electronic publishing, and the creation of a Virtual Reality Gallery. We would like to look towards the near future and discuss several initiatives in virtual resource creation that we believe will have significant scientific impact on the glycosciences including the development of bioinformatics-based servers, sophisticated interactive databases, and videoconferencing. Furthermore, we cherish the belief that these resources will foster international scientific collaboration and progress of an extent never previously possible. Finally, we indulge in speculation and make some suggestions on the form and long-term impact of Glycoscience Virtual Resources. We predict that their development may completely reconstruct the scientific environment that we work in as scientists and we reflect on the probable benefits and pitfalls to be encountered.

Carbohydrates↗

Single-cell RNA sequencing reveals disease associated changes in brain endothelial cells in the 5XFAD mouse.

Vascular dysfunction is a key contributor to Alzheimer’s disease (AD) pathology, where changes to the endothelium and its crucial role in maintaining blood-brain barrier (BBB) integrity have been of particular emphasis. The transgenic 5XFAD (5X Familial Alzheimer’s Disease) mouse model, which exhibits AD-related amyloidosis through FAD associated mutations in amyloid precursor protein (APP) and presenilin-1 (PS1), has become a widely adopted preclinical model in AD-related research studies. The need for cross-study standardization, accessibility, and data reproducibility has led to the widespread implementation of the C57BL/6J genetic background for maintaining this model. However, its reliability for studying vascular dysfunction and BBB alterations has been questioned due to conflicting reports in the literature. This variation is often attributed to the previously documented protective nature of the C57BL/6J background and loss of genetic background diversity. Since prior studies have mostly relied on imaging or functional assays, we herein utilized single-cell RNA sequencing (scRNAseq) to investigate AD-related molecular changes to endothelial cell populations in the 5XFAD mouse model. To initially build this resource, we focused on 12-month-old male mice, which revealed differentially expressed genes between 5XFAD and wildtype animals that mapped to signaling pathways involved in DNA damage, immune reactivity, and inflammation, among others. Many of these transcriptomic changes were zonated along the arteriovenous axis and occurred in AD genome-wide association study (GWAS) risk-associated genes. Overall, we anticipate this resource will help clarify the use of the 5XFAD model for studying AD-associated vascular changes and provide the foundation for expanded molecular profiling of brain endothelial cells under AD-associated conditions.

Animals↗

[The ethical implications, guidelines, and standardization of genetic tests].

Laboratory advances in molecular genetics have resulted in numerous clinical applications for DNA analysis. Genetic tests can contribute a great deal of information to clinical diagnosis. These genetic tests including PCR, fluorescence detection, real-time PCR, and automated sequencing have developed into both simple and time-consuming laboratory techniques. Currently, DNA diagnosis is not used routinely because of cost, complexity, and resources. We have focused on the ethical implications and proper standardization in DNA diagnosis. This review is to discuss a guide to proceed genetic tests for their efficiency, accessibility and quality in laboratory.

Genetic Counseling↗

Resource availability controls fungal diversity across a plant diversity gradient.

Despite decades of research, the ecological determinants of microbial diversity remain poorly understood. Here, we test two alternative hypotheses concerning the factors regulating fungal diversity in soil. The first states that higher levels of plant detritus production increase the supply of limiting resources (i.e. organic substrates) thereby increasing fungal diversity. Alternatively, greater plant diversity increases the range of organic substrates entering soil, thereby increasing the number of niches to be filled by a greater array of heterotrophic fungi. These two hypotheses were simultaneously examined in experimental plant communities consisting of one to 16 species that have been maintained for a decade. We used ribosomal intergenic spacer analysis (RISA), in combination with cloning and sequencing, to quantify fungal community composition and diversity within the experimental plant communities. We used soil microbial biomass as a temporally integrated measure of resource supply. Plant diversity was unrelated to fungal diversity, but fungal diversity was a unimodal function of resource supply. Canonical correspondence analysis (CCA) indicated that plant diversity showed a relationship to fungal community composition, although the occurrence of RISA bands and operational taxonomic units (OTUs) did not differ among the treatments. The relationship between fungal diversity and resource availability parallels similar relationships reported for grasslands, tropical forests, coral reefs, and other biotic communities, strongly suggesting that the same underlying mechanisms determine the diversity of organisms at multiple scales.

Biodiversity↗

Cryptic species as a window on diversity and conservation.

The taxonomic challenge posed by cryptic species (two or more distinct species classified as a single species) has been recognized for nearly 300 years, but the advent of relatively inexpensive and rapid DNA sequencing has given biologists a new tool for detecting and differentiating morphologically similar species. Here, we synthesize the literature on cryptic and sibling species and discuss trends in their discovery. However, a lack of systematic studies leaves many questions open, such as whether cryptic species are more common in particular habitats, latitudes or taxonomic groups. The discovery of cryptic species is likely to be non-random with regard to taxon and biome and, hence, could have profound implications for evolutionary theory, biogeography and conservation planning.

Adaptation, Biological↗

Hierarchical Access System for Sequence Libraries in Europe (HASSLE): a tool to access sequence databases remotely.

Sequence databases in biology are growing exponentially. Not only are large sites needed to keep the data, but the number of customers is continuously increasing. Network access plays a key role in utilizing remote resources. However, both synchronous and asynchronous access require tools that are currently non-standard in molecular biology computing. Additionally, information discovery of today frequently focuses on centers rather a hierarchically interconnected facilities. HASSLE (Hierarchical Access System for Sequence Libraries in Europe) is an implementation of an application-independent, user-transparent access tool in molecular biology. It features tools for both clients and information providers to permit accounting and/or prioritization on various levels. HASSLE focuses on the network aspect of the molecular biology computing and assumes that it is possible to have database applications available as remote 'services' (programs, program packages or utilities) which can be started by a simple command script after a suitable feed of datafiles. The current system provides these services for searching with programs like FASTA or BLAST which are compiled as obtained from vendors or servers.

Algorithms↗

Lectindb: a plant lectin database.

Lectins, a class of carbohydrate-binding proteins, are now widely recognized to play a range of crucial roles in many cell-cell recognition events triggering several important cellular processes. They encompass different members that are diverse in their sequences, structures, binding site architectures, quaternary structures, carbohydrate affinities, and specificities as well as their larger biological roles and potential applications. It is not surprising, therefore, that the vast amount of experimental data on lectins available in the literature is so diverse, that it becomes difficult and time consuming, if not impossible to comprehend the advances in various areas and obtain the maximum benefit. To achieve an effective use of all the data toward understanding the function and their possible applications, an organization of these seemingly independent data into a common framework is essential. An integrated knowledge base ( Lectindb, http://nscdb.bic.physics.iisc.ernet.in ) together with appropriate analytical tools has therefore been developed initially for plant lectins by collating and integrating diverse data. The database has been implemented using MySQL on a Linux platform and web-enabled using PERL-CGI and Java tools. Data for each lectin pertain to taxonomic, biochemical, domain architecture, molecular sequence, and structural details as well as carbohydrate and hence blood group specificities. Extensive links have also been provided for relevant bioinformatics resources and analytical tools. Availability of diverse data integrated into a common framework is expected to be of high value not only for basic studies in lectin biology but also for basic studies in pursuing several applications in biotechnology, immunology, and clinical practice, using these molecules.

Algorithms↗

The RNA Ontology Consortium: an open invitation to the RNA community.

The aim of the RNA Ontology Consortium (ROC) is to create an integrated conceptual framework-an RNA Ontology (RO)-with a common, dynamic, controlled, and structured vocabulary to describe and characterize RNA sequences, secondary structures, three-dimensional structures, and dynamics pertaining to RNA function. The RO should produce tools for clear communication about RNA structure and function for multiple uses, including the integration of RNA electronic resources into the Semantic Web. These tools should allow the accurate description in computer-interpretable form of the coupling between RNA architecture, function, and evolution. The purposes for creating the RO are, therefore, (1) to integrate sequence and structural databases; (2) to allow different computational tools to interoperate; (3) to create powerful software tools that bring advanced computational methods to the bench scientist; and (4) to facilitate precise searches for all relevant information pertaining to RNA. For example, one initial objective of the ROC is to define, identify, and classify RNA structural motifs described in the literature or appearing in databases and to agree on a computer-interpretable definition for each of these motifs. To achieve these aims, the ROC will foster communication and promote collaboration among RNA scientists by coordinating frequent face-to-face workshops to discuss, debate, and resolve difficult conceptual issues. These meeting opportunities will create new directions at various levels of RNA research. The ROC will work closely with the PDB/NDB structural databases and the Gene, Sequence, and Open Biomedical Ontology Consortia to integrate the RO with existing biological ontologies to extend existing content while maintaining interoperability.

Databases, Genetic↗

A fast polymerase chain reaction-mediated strategy for introducing repeat expansions into CAG-repeat containing genes.

We describe a simple method for expanding CAG trinucleotides in CAG-repeat containing genes which, in contrast to other techniques, leaves the original gene sequence intact. Here, we expanded the CAG stretches of a plasmid clone containing the cDNA of the SCA3/MJD gene from 22 CAG up to > 130 CAG repeats using polymerase chain reaction (PCR)-mediated mutagenesis. The method reported in this article requires minimal resources, is very fast, and enables to construct recombinant plasmids carrying large CAG expansions.

Base Sequence↗