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At least 595 records · Page 33Linked to original sources
PubMed2006

Reliable prediction of Drosha processing sites improves microRNA gene prediction.

MOTIVATION: Mature microRNAs (miRNAs) are processed from long hairpin transcripts. Even though it is only the first of several steps, the initial Drosha processing defines the mature product and is characteristic for all miRNA genes. Methods that can separate between true and false processing sites are therefore essential to miRNA gene discovery. RESULTS: We present a classifier that predicts 5' Drosha processing sites in hairpins that are candidate miRNAs. The classifier, called Microprocessor SVM, correctly predicts the processing site for 50% of known human 5' miRNAs, and 90% of its predictions are within two nucleotides of the true site. Another classifier that is trained on the output from the Microprocessor SVM outperforms existing methods for prediction of unconserved miRNAs. Reanalysis of characteristics and supporting evidence for a set of newly annotated miRNAs shows that some miRNAs may be misannotated. This suggests that expressed hairpins should not be annotated as miRNAs until they are verified to be Drosha and Dicer substrates. AVAILABILITY: The classifiers are publicly available at https://demo1.interagon.com/miRNA/

Artificial Intelligence↗
PubMed2006

Very little intron gain in Entamoeba histolytica genes laterally transferred from prokaryotes.

The evolution of spliceosomal introns remains intensely debated. We studied 96 Entamoeba histolytica genes previously identified as having been laterally transferred from prokaryotes, which were presumably intronless at the time of transfer. Ninety out of the 96 are also present in the reptile parasite Entamoeba invadens, indicating lateral transfer before the species' divergence approximately 50 MYA. We find only 2 introns, both shared with E. invadens. Thus, no intron gains have occurred in approximately 50 Myr, implying a very low rate of intron gain of less than one gain per gene per approximately 4.5 billion years. Nine other predicted introns are due to annotation errors reflecting apparent mistakes in the E. histolytica genome assembly. These results underscore the massive differences in intron gain rates through evolution.

Amino Acid Sequence↗
PubMed2000

Protein interaction mapping in C. elegans using proteins involved in vulval development.

Protein interaction mapping using large-scale two-hybrid analysis has been proposed as a way to functionally annotate large numbers of uncharacterized proteins predicted by complete genome sequences. This approach was examined in Caenorhabditis elegans, starting with 27 proteins involved in vulval development. The resulting map reveals both known and new potential interactions and provides a functional annotation for approximately 100 uncharacterized gene products. A protein interaction mapping project is now feasible for C. elegans on a genome-wide scale and should contribute to the understanding of molecular mechanisms in this organism and in human diseases.

Animals↗
PubMed2005

Serendipitous discovery of Wolbachia genomes in multiple Drosophila species.

BACKGROUND: The Trace Archive is a repository for the raw, unanalyzed data generated by large-scale genome sequencing projects. The existence of this data offers scientists the possibility of discovering additional genomic sequences beyond those originally sequenced. In particular, if the source DNA for a sequencing project came from a species that was colonized by another organism, then the project may yield substantial amounts of genomic DNA, including near-complete genomes, from the symbiotic or parasitic organism. RESULTS: By searching the publicly available repository of DNA sequencing trace data, we discovered three new species of the bacterial endosymbiont Wolbachia pipientis in three different species of fruit fly: Drosophila ananassae, D. simulans, and D. mojavensis. We extracted all sequences with partial matches to a previously sequenced Wolbachia strain and assembled those sequences using customized software. For one of the three new species, the data recovered were sufficient to produce an assembly that covers more than 95% of the genome; for a second species the data produce the equivalent of a 'light shotgun' sampling of the genome, covering an estimated 75-80% of the genome; and for the third species the data cover approximately 6-7% of the genome. CONCLUSIONS: The results of this study reveal an unexpected benefit of depositing raw data in a central genome sequence repository: new species can be discovered within this data. The differences between these three new Wolbachia genomes and the previously sequenced strain revealed numerous rearrangements and insertions within each lineage and hundreds of novel genes. The three new genomes, with annotation, have been deposited in GenBank.

Animals↗
PubMed2005

Functional genomics: tools for improving farm animal health and welfare.

The first genome sequence assemblies of farm animal species are now accessible through public domain databases, and further sequencing projects are in rapid progress. In addition, large collections of expressed sequences have been obtained, which will aid in constructing annotated transcript maps for many economically important species. Thus, the breeding of farm animals is entering the post-genome era. Functional genomics, defined as applying global experimental approaches to assess gene function, by using the information and reagents provided by structural genomics (i.e. mapping and sequencing), has become the focus of interest. Combining a holistic view of phenotypes at the molecular level with genetic marker data seems a particularly promising approach for improving health and welfare traits in farm animals. These traits are often difficult to define. They suffer from low heritabilities and a corresponding lack of genetic gain in conventional selection and breeding programmes. At the same time, genomic information from micro-organisms and parasites offers the potential for new vaccines and therapeutics. This review describes major functional genomics tools, lists genomic resources available for farm animals and discusses the prospects and challenges of functional genomics in improving the health and welfare of farm animals.

Animal Welfare↗
PubMed1998

Identification of major phylogenetic branches of inhibitory ligand-gated channel receptors.

The gene superfamily of ligand-gated ion channel (LGIC) receptors is composed of members of excitatory LGIC receptors (ELGIC) and inhibitory LGIC receptors (ILGIC), all using amino acids as ligands. The ILGICs, including GABAA, Gly, and GluCl receptors, conduct Cl- when the ligand is bound. To evaluate the phylogenetic relationships among ILGIC members, 90 protein sequences were analyzed by both maximum-parsimony and distance matrix-based methods. The strength of the resulting phylogenetic trees was evaluated by means of bootstrap. Four major phylogenetic branches are recognized. Branch I, called BZ, for the majority of the members are known to be related to benzodiazepine binding, is subdivided into IA, composed of all GABAA receptor alpha subunits, and IB, composed of the gamma and epsilon subunits, which are shown to be tightly linked. Branch II, named NB for non-benzodiazepine binding, and consisting of GABAA receptor beta, delta, pi, and rho subunits, is further subdivided into IIA, containing beta subunits; IIB, containing delta, and pi subunits; and IIC, containing rho subunits. Branch IIIA, composed of vertebrate Gly receptors, is loosely clustered with Branch IIIB, composed of invertebrate GluCl receptors, to form Branch III, which is designated NA for being non-GABA responsive. Branch IV is called UD for being undefined in specificity. The existence of primitive forms of GABAA receptor non-beta subunits in invertebrates is first suggested by the present analysis, and the identities of sequences p25123 from Drosophila melanogaster, s34469 from Lymnaea stagnalis, and u14635 and p41849 from C. aenorhabditis elegans are determined to be different from their previously given annotations. The proposed branching classification of ILGICs provides a phylogenetic map, based on protein sequences, for tracing the evolutionary pathways of ILGIC receptor subunits and determining the identities of newly discovered subunits on the basis of their protein sequences.

Amino Acid Sequence↗
PubMed2004

Functionally specified protein signatures distinctive for each of the different blue copper proteins.

BACKGROUND: Proteins having similar functions from different sources can be identified by the occurrence in their sequences, a conserved cluster of amino acids referred to as pattern, motif, signature or fingerprint. The wide usage of protein sequence analysis in par with the growth of databases signifies the importance of using patterns or signatures to retrieve out related sequences. Blue copper proteins are found in the electron transport chain of prokaryotes and eukaryotes. The signatures already existing in the databases like the type 1 copper blue, multiple copper oxidase, cyt b/b6, photosystem 1 psaA&B, psaG&K, and reiske iron sulphur protein are not specified signatures for blue copper proteins as the name itself suggests. Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. This work describes the signatures designed based on the copper metal binding motifs in blue copper proteins. The common feature in all blue copper proteins is a trigonal planar arrangement of two nitrogen ligands [each from histidine] and one sulphur containing thiolate ligand [from cysteine], with strong interactions between the copper center and these ligands. RESULTS: Sequences that share such conserved motifs are crucial to the structure or function of the protein and this could provide a signature of family membership. The blue copper proteins chosen for the study were plantacyanin, plastocyanin, cucumber basic protein, stellacyanin, dicyanin, umecyanin, uclacyanin, cusacyanin, rusticyanin, sulfocyanin, halocyanin, azurin, pseudoazurin, amicyanin and nitrite reductase which were identified in both eukaryotes and prokaryotes. ClustalW analysis of the protein sequences of each of the blue copper proteins was the basis for designing protein signatures or peptides. The protein signatures and peptides identified in this study were designed involving the active site region involving the amino acids bound to the copper atom. It was highly specific for each kind of blue copper protein and the false picks were minimized. The set of signatures designed specifically for the BCP's was entirely different from the existing broad spectrum signatures as mentioned in the background section. CONCLUSIONS: These signatures can be very useful for the annotation of uncharacterized proteins and highly specific to retrieve blue copper protein sequences of interest from the non redundant databases containing a large deposition of protein sequences.

Amino Acid Sequence↗
PubMed2004

Seq2Struct: a resource for establishing sequence-structure links.

UNLABELLED: Several methods for establishing cross-links between Protein Data Bank (PDB) structures or Structural Classification of Proteins (SCOP) domains and Swiss-Prot + TrEMBL sequences (or vice versa) rely on database annotations. Alternatively, sequence alignment procedures can be used. In this study, we describe Seq2Struct, a web resource for the identification of sequence-structure links. The resource consists of an exhaustive collection of annotated links between Swiss-Prot + TrEMBL and PDB + SCOP database entries. Links are based on pre-established highly reliable thresholds and stored in a relational database, which has been enhanced using annotations derived from Swiss-Prot, PDB, SCOP, GOA and DSSP databases. The Seq2Struct database contents, supported by a WWW web interface, can be queried both online and downloaded. AVAILABILITY: The Seq2Struct resource, with related documentation, is available at http://surface.bio.uniroma2.it/seq2struct/ CONTACT: seq2struct@cbm.bio.uniroma2.it.

Database Management Systems↗
PubMed2005

Co-evolution analysis on endocrine research: a methodological approach.

The rapid growth of different kinds of biological information allows a good opportunity to analyze the co-evolutionary characteristics in endocrine regulatory pathways. Data ranging from kinds of species' genome, gene sequence, protein structure, and expression profile of different organisms can reveal the inner co-evolutionary relationship of ligands, receptors, and other related molecules. In return, these co-evolutionary characteristics can help us determine uncharacterized ligands and receptors, annotate gene functions, highlight amino acid residues with biochemical significance, and identify regulated genes in the endocrine process. Encouraging examples in this field, although at their starting stage, have emerged. Here we focus on recent progress in endocrine-related co-evolution research from a methodological approach.

Endocrine System↗
PubMed2006

Molecular cloning of a pepper gene that is homologous to SELF-PRUNING.

"Determinate" and "indeterminate" inflorescences in plants are controlled by a single recessive gene, for example, SELF-PRUNING (SP) in Solanum lycopersicum, TERMINAL FLOWER1 in Arabidopsis, CENTRORADI-ALIS in Antirrhinum, and CENTRORADIALIS-like gene in tobacco. Pepper (Capsicum annuum L.) is an indeterminate species in which shoots grow indefinitely. In this study, we cloned and characterized the pepper SP-like gene (CaSP). RT-PCR revealed that the CaSP transcript accumulates to higher levels in floral buds than in other organs. Comparison of genomic DNA and cDNA sequences from indeterminate and determinate pepper plants revealed the insertion of a single base in the first exon of CaSP in the determinate pepper plants. CaSP is annotated in linkage group 8 (chromosome 6) of the SNU2 pepper genetic map and showed similar synteny to SP in tomato. Transgenic tobacco plants overexpressing CaSP displayed late-flowering phenotypes similar to the phenotypes caused by overexpression of CaSP orthologs in other plants. Collectively, these results suggest that pepper CaSP is an ortholog of SP in tomato.

Amino Acid Sequence↗
PubMed2001

Comparative analysis of the gene-dense ACHE/TFR2 region on human chromosome 7q22 with the orthologous region on mouse chromosome 5.

Chromosome 7q22 has been the focus of many cytogenetic and molecular studies aimed at delineating regions commonly deleted in myeloid leukemias and myelodysplastic syndromes. We have compared a gene-dense, GC-rich sub-region of 7q22 with the orthologous region on mouse chromosome 5. A physical map of 640 kb of genomic DNA from mouse chromosome 5 was derived from a series of overlapping bacterial artificial chromosomes. A 296 kb segment from the physical map, spanning ACHE: to Tfr2, was compared with 267 kb of human sequence. We identified a conserved linkage of 12 genes including an open reading frame flanked by ACHE: and Asr2, a novel cation-chloride cotransporter interacting protein Cip1, Ephb4, Zan and Perq1. While some of these genes have been previously described, in each case we present new data derived from our comparative sequence analysis. Adjacent unfinished sequence data from the mouse contains an orthologous block of 10 additional genes including three novel cDNA sequences that we subsequently mapped to human 7q22. Methods for displaying comparative genomic information, including unfinished sequence data, are becoming increasingly important. We supplement our printed comparative analysis with a new, Web-based program called Laj (local alignments with java). Laj provides interactive access to archived pairwise sequence alignments via the WWW. It displays synchronized views of a dot-plot, a percent identity plot, a nucleotide-level local alignment and a variety of relevant annotations. Our mouse-human comparison can be viewed at http://web.uvic.ca/~bioweb/laj.html. Laj is available at http://bio.cse.psu.edu/, along with online documentation and additional examples of annotated genomic regions.

Acetylcholinesterase↗
PubMed2005

Telencephalic embryonic subtractive sequences: a unique collection of neurodevelopmental genes.

The vertebrate telencephalon is composed of many architectonically and functionally distinct areas and structures, with billions of neurons that are precisely connected. This complexity is fine-tuned during development by numerous genes. To identify genes involved in the regulation of telencephalic development, a specific subset of differentially expressed genes was characterized. Here, we describe a set of cDNAs encoded by genes preferentially expressed during development of the mouse telencephalon that was identified through a functional genomics approach. Of 832 distinct transcripts found, 223 (27%) are known genes. Of the remaining, 228 (27%) correspond to expressed sequence tags of unknown function, 58 (7%) are homologs or orthologs of known genes, and 323 (39%) correspond to novel rare transcripts, including 48 (14%) new putative noncoding RNAs. As an example of this latter group of novel precursor transcripts of micro-RNAs, telencephalic embryonic subtractive sequence (TESS) 24.E3 was functionally characterized, and one of its targets was identified: the zinc finger transcription factor ZFP9. The TESS transcriptome has been annotated, mapped for chromosome loci, and arrayed for its gene expression profiles during neural development and differentiation (in Neuro2a and neural stem cells). Within this collection, 188 genes were also characterized on embryonic and postnatal tissue by in situ hybridization, demonstrating that most are specifically expressed in the embryonic CNS. The full information has been organized into a searchable database linked to other genomic resources, allowing easy access to those who are interested in the dissection of the molecular basis of telencephalic development.

Animals↗
PubMed2025

Chromosome-level genome assembly of Qihe gibel carp.

Qihe gibel carp (Carassius gibelio var. Qihe) is a local population of natural gynogenetic amphitriploid (AAABBB) Carassius gibelio, and has high nutritional and economic value. In this study, we assemble a high-quality chromosome-level genome of Qihe gibel carp through DNBSEQ, PacBio HiFi, and Hi-C sequencing data. The resulting assembly consisted of 350 contigs with the full length of 1.607 Gb and 96.21% (1.515 Gb) of the assembled genome was successfully anchored to 50 chromosomes, with a contig N50 of 28.97 Mb and a scaffold N50 of 29.84 Mb. Repeated sequences accounting for 43.72% (732.494 Mb) of the total were also identified, and gene prediction revealed 46,131 protein-coding genes with an annotation ratio of 96.48%. Furthermore, Benchmarking Universal Single-Copy Orthologue (BUSCO) analysis demonstrated that the genome assembly achieved high completeness, with a score of 97.66%. This high-quality chromosome-level genome lays the foundation for molecular biology research as well as molecular breeding and evolutionary studies of Qihe gibel carp in the future.

Animals↗
PubMed2025

Chromosome-level genome assembly of hawthorn spider mite, Amphitetranychus viennensis (Acari: Tetranychidae).

The hawthorn spider mite, Amphitetranychus viennensis, is a major pest of orchards and ornamentals in the Palaearctic region, with adaptability and acaricide resistance. The lack of high-quality genomic resources limits understanding of its detoxification mechanisms and the development of RNAi-based pest control strategies. In this study, we utilized Illumina, Pacific Biosciences (PacBio), and Hi-C sequencing technologies to assemble a chromosome-level reference genome of A. viennensis. The assembled genome spans 141.96 Mb, with a contig N50 of 1.35 Mb. BUSCO analysis confirmed a high level of completeness, covering 91.6% of annotated genes. The assembly includes 50.97 Mb of repetitive sequences, representing 35.93% of the genome, and annotates 13,968 protein-coding genes. Using Hi-C sequencing, we anchored 47 contigs to three chromosomes, accounting for 97.27% of the estimated nuclear genome and achieving a contig N50 of 45.83 Mb. This high-quality genome assembly provides a valuable foundation for evolutionary and genomic research on spider mites, while also serving as a genetic resource to inform molecular control strategies and support sustainable pest management.

Animals↗
PubMed2004

Genes regulated in neurons undergoing transcription-dependent apoptosis belong to signaling pathways rather than the apoptotic machinery.

Neuronal apoptosis has been shown to require de novo RNA/protein synthesis. However, very few genes whose expression is necessary for inducing apoptosis have been identified so far. To systematically identify such genes, we have used genome-scale, long oligonucleotide microarrays and characterized the gene expression profile of cerebellar granule neurons in the early phase of apoptosis elicited by KCl deprivation. We identified 368 significantly differentially expressed genes, including most of the genes previously reported to be transcriptionally regulated in this paradigm. In addition, we identified several hundreds of genes whose transcriptional regulation has never been associated with neuronal apoptosis. We used automated Gene Ontology annotation, analysis of promoter sequences, and statistical tools to characterize these regulations. Although differentially expressed genes included some components of the apoptotic machinery, this functional category was not significantly over-represented among regulated genes. On the other hand, categories related to signal transduction were the most significantly over-represented group. This indicates that the apoptotic machinery is mainly constitutive, whereas molecular pathways that lead to the activation of apoptotic components are transcriptionally regulated. In particular, we show for the first time that signaling pathways known to be involved in the control of neuronal survival are regulated at the transcriptional level and not only by post-translational mechanisms. Moreover, our approach provides insights into novel transcription factors and novel mechanisms, such as the unfolded protein response and cell adhesion, that may contribute to the induction of neuronal apoptosis.

Animals↗
PubMed2004

The Arabidopsis genome sequence as a tool for genome analysis in Brassicaceae. A comparison of the Arabidopsis and Capsella rubella genomes.

The annotated Arabidopsis genome sequence was exploited as a tool for carrying out comparative analyses of the Arabidopsis and Capsella rubella genomes. Comparison of a set of random, short C. rubella sequences with the corresponding sequences in Arabidopsis revealed that aligned protein-coding exon sequences differ from aligned intron or intergenic sequences in respect to the degree of sequence identity and the frequency of small insertions/deletions. Molecular-mapped markers and expressed sequence tags derived from Arabidopsis were used for genetic mapping in a population derived from an interspecific cross between Capsella grandiflora and C. rubella. The resulting eight Capsella linkage groups were compared to the sequence maps of the five Arabidopsis chromosomes. Fourteen colinear segments spanning approximately 85% of the Arabidopsis chromosome sequence maps and 92% of the Capsella genetic linkage map were detected. Several fusions and fissions of chromosomal segments as well as large inversions account for the observed arrangement of the 14 colinear blocks in the analyzed genomes. In addition, evidence for small-scale deviations from genome colinearity was found. Colinearity between the Arabidopsis and Capsella genomes is more pronounced than has been previously reported for comparisons between Arabidopsis and different Brassica species.

Arabidopsis↗
PubMed2006

Identification and analysis of gene families from the duplicated genome of soybean using EST sequences.

BACKGROUND: Large scale gene analysis of most organisms is hampered by incomplete genomic sequences. In many organisms, such as soybean, the best source of sequence information is the existence of expressed sequence tag (EST) libraries. Soybean has a large (1115 Mbp) genome that has yet to be fully sequenced. However it does have the 6th largest EST collection comprised of ESTs from a variety of soybean genotypes. Many EST libraries were constructed from RNA extracted from various genetic backgrounds, thus gene identification from these sources is complicated by the existence of both gene and allele sequence differences. We used the ESTminer suite of programs to identify potential soybean gene transcripts from a single genetic background allowing us to observe functional classifications between gene families as well as structural differences between genes and gene paralogs within families. The identification of potential gene sequences (pHaps) from soybean allows us to begin to get a picture of the genomic history of the organism as well as begin to observe the evolutionary fates of gene copies in this highly duplicated genome. RESULTS: We identified approximately 45,000 potential gene sequences (pHaps) from EST sequences of Williams/Williams82, an inbred genotype of soybean (Glycine max L. Merr.) using a redundancy criterion to identify reproducible sequence differences between related genes within gene families. Analysis of these sequences revealed single base substitutions and single base indels are the most frequently observed form of sequence variation between genes within families in the dataset. Genomic sequencing of selected loci indicate that intron-like intervening sequences are numerous and are approximately 220 bp in length. Functional annotation of gene sequences indicate functional classifications are not randomly distributed among gene families containing few or many genes. CONCLUSION: The predominance of single nucleotide insertion/deletions and substitution events between genes within families (individual genes and gene paralogs) is consistent with a model of gene amplification followed by single base random mutational events expected under the classical model of duplicated gene evolution. Molecular functions of small and large gene families appear to be non-randomly distributed possibly indicating a difference in retention of duplicates or local expansion.

Evolution, Molecular↗
PubMed1996

Very fast identification of RNA motifs in genomic DNA. Application to tRNA search in the yeast genome.

A common strategy characterises the various methods independently defined to identify almost unambiguously different types of RNA molecules in DNA fragments. So far, the good quality of detection of RNA motif has been the prior motivation and effectively delayed the optimisation of programs. As an illustration of possible improvements, a modified version of tRNAscan is described. The previous algorithm was altered to run 500 times faster and to lower both rates of false positives and false negatives. The newly sequenced genome of Saccharomyces cerevisiae is scanned both ways in less than three minutes and results match annotations found in databanks with three exceptions, two of which being arguably not real tRNAs.

Algorithms↗