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A comprehensive genetic linkage map of the human genome. NIH/CEPH Collaborative Mapping Group.

A genetic linkage map of the human genome was constructed that consists of 1416 loci, including 279 genes and expressed sequences. The loci are represented by 1676 polymorphic systems genotyped with the CEPH reference pedigree resource. A total of 339 microsatellite repeat markers assayed by PCR are contained within the map, and of the 351 markers with heterozygosities of at least 70%, 205 are microsatellites. Seven telomere loci define physical and genetic endpoints for 2q, 4p, 7q, 8p, 14q, 16p, and 16q, and in other cases distal markers on the maps have been localized to terminal cytogenetic bands. Therefore, at least 92% of the autosomal length of the genome and 95% of the X chromosome is estimated to be spanned by the map. Since the maps have relatively high marker density and numerous highly informative loci, they can be used to map disease phenotypes, even for those with limited pedigree resources. The baseline map provides a foundation for achieving continuity of clone-based physical maps and for the development of a truly integrated physical, genetic, and cytogenetic map of the human.

Chromosome Mapping↗

From amplification to gene in thyroid cancer: a high-resolution mapped bacterial-artificial-chromosome resource for cancer chromosome aberrations guides gene discovery after comparative genome hybridization.

Chromosome rearrangements associated with neoplasms provide a rich resource for definition of the pathways of tumorigenesis. The power of comparative genome hybridization (CGH) to identify novel genes depends on the existence of suitable markers, which are lacking throughout most of the genome. We now report a general approach that translates CGH data into higher-resolution genomic-clone data that are then used to define the genes located in aneuploid regions. We used CGH to study 33 thyroid-tumor DNAs and two tumor-cell-line DNAs. The results revealed amplifications of chromosome band 2p21, with less-intense amplification on 2p13, 19q13.1, and 1p36 and with least-intense amplification on 1p34, 1q42, 5q31, 5q33-34, 9q32-34, and 14q32. To define the 2p21 region amplified, a dense array of 373 FISH-mapped chromosome 2 bacterial artificial chromosomes (BACs) was constructed, and 87 of these were hybridized to a tumor-cell line. Four BACs carried genomic DNA that was amplified in these cells. The maximum amplified region was narrowed to 3-6 Mb by multicolor FISH with the flanking BACs, and the minimum amplicon size was defined by a contig of 420 kb. Sequence analysis of the amplified BAC 1D9 revealed a fragment of the gene, encoding protein kinase C epsilon (PKCepsilon), that was then shown to be amplified and rearranged in tumor cells. In summary, CGH combined with a dense mapped resource of BACs and large-scale sequencing has led directly to the definition of PKCepsilon as a previously unmapped candidate gene involved in thyroid tumorigenesis.

Adenocarcinoma, Follicular↗

LigBase: a database of families of aligned ligand binding sites in known protein sequences and structures.

A database comprising all ligand-binding sites of known structure aligned with all related protein sequences and structures is described. Currently, the database contains approximately 50000 ligand-binding sites for small molecules found in the Protein Data Bank (PDB). The structure-structure alignments are obtained by the Combinatorial Extension (CE) program (Shindyalov and Bourne, Protein Eng., 11, 739-747, 1998) and sequence-structure alignments are extracted from the ModBase database of comparative protein structure models for all known protein sequences (Sanchez et al., Nucleic Acids Res., 28, 250-253, 2000). It is possible to search for binding sites in LigBase by a variety of criteria. LigBase reports summarize ligand data including relevant structural information from the PDB file, such as ligand type and size, and contain links to all related protein sequences in the TrEMBL database. Residues in the binding sites are graphically depicted for comparison with other structurally defined family members. LigBase provides a resource for the analysis of families of related binding sites.

Binding Sites↗

Gene survey of the pathogenic protozoan Trypanosoma cruzi.

We have performed a survey of the active genes in the important human pathogen Trypanosoma cruzi by analyzing 5013 expressed sequence tags (ESTs) generated from a normalized epimastigote cDNA library. Clustering of all sequences resulted in 771 clusters, comprising 54% of the ESTs. In total, the ESTs corresponded to 3054 transcripts that might represent one-fourth of the total gene repertoire in T. cruzi. About 33% of the T. cruzi transcripts showed similarity to sequences in the public databases, and a large number of hitherto undiscovered genes predicted to be involved in transcription, cell cycle control, cell division, signal transduction, secretion, and metabolism were identified. More than 140 full-length gene sequences were derived from the ESTs. Comparisons with all open reading frames in yeast and in Caenorhabditis elegans showed that only 12% of the T. cruzi transcripts were shared among diverse eukaryotic organisms. Comparison with other kinetoplastid sequences identified 237 orthologous genes that are shared between these evolutionarily divergent organisms. The generated data are a useful resource for further studies of the biology of the parasite and for development of new means to combat Chagas' disease.

Animals↗

ProbCons: Probabilistic consistency-based multiple sequence alignment.

To study gene evolution across a wide range of organisms, biologists need accurate tools for multiple sequence alignment of protein families. Obtaining accurate alignments, however, is a difficult computational problem because of not only the high computational cost but also the lack of proper objective functions for measuring alignment quality. In this paper, we introduce probabilistic consistency, a novel scoring function for multiple sequence comparisons. We present ProbCons, a practical tool for progressive protein multiple sequence alignment based on probabilistic consistency, and evaluate its performance on several standard alignment benchmark data sets. On the BAliBASE, SABmark, and PREFAB benchmark alignment databases, ProbCons achieves statistically significant improvement over other leading methods while maintaining practical speed. ProbCons is publicly available as a Web resource.

Algorithms↗

Sequence database of 1172 T-DNA insertion sites in Arabidopsis activation-tagging lines that showed phenotypes in T1 generation.

Plant genomic resources harbouring gain-of-function mutations remain rare, even though this type of mutation is believed to be one of the most useful for elucidating the function of unknown genes that have redundant partners in the genome. An activation-tagging T-DNA was introduced into the genome of Arabidopsis creating 55,431 independent transformed lines. Of these T1 lines, 1,262 showed phenotypes different from those of wild-type plants. We called these lines 'AT1Ps' (activation T1 putants). The phenotypes observed include abnormalities in morphology, growth rate, plant colour, flowering time and fertility. Similar phenotypes re-appeared either in dominant or semi-dominant fashion in 17% of 177 AT2P plants tested. Plasmid rescue or an adaptor-PCR method was used to identify 1172 independent genomic loci of T-DNA integration sites in the AT1P plants. Mapping of the integration sites revealed that the chromosomal distribution of these sites is similar to that observed in conventional T-DNA knock-out lines, except that the intragenic type of integration is slightly lower (27%) in the AT1P plants compared to that observed in other random knock-out populations (30-35%). Ten AT2P lines that showed dominant phenotypes were chosen to monitor expression levels of genes adjacent to the T-DNA integration sites by RT-PCR. Activation was observed in 7 out of 17 of the adjacent genes detected. Genes located up to 8.2 kb away from the enhancer sequence were activated. One of the seven activated genes was located close to the left-border sequence of the T-DNA, having an estimated distance of 5.7 kb from the enhancer. Surprisingly, one gene, the first ATG of which is located 12 kb away from the enhancer, showed reduced mRNA accumulation in the tagged line. Application of the database generated to Arabidopsis functional genomics research is discussed. The sequence database of the 1172 loci from the AT1P plants is available (http://pfgweb.gsc.riken.go.jp/index.html).

Adenosine Triphosphate↗

Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms.

The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/), a scientific database of the molecular biology and genetics of the yeast Saccharomyces cerevisiae, has recently developed several new resources that allow the comparison and integration of information on a genome-wide scale, enabling the user not only to find detailed information about individual genes, but also to make connections across groups of genes with common features and across different species. The Fungal Alignment Viewer displays alignments of sequences from multiple fungal genomes, while the Sequence Similarity Query tool displays PSI-BLAST alignments of each S.cerevisiae protein with similar proteins from any species whose sequences are contained in the non-redundant (nr) protein data set at NCBI. The Yeast Biochemical Pathways tool integrates groups of genes by their common roles in metabolism and displays the metabolic pathways in a graphical form. Finally, the Find Chromosomal Features search interface provides a versatile tool for querying multiple types of information in SGD.

Amino Acid Sequence↗

MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes.

BACKGROUND: Cis-regulatory modules are combinations of regulatory elements occurring in close proximity to each other that control the spatial and temporal expression of genes. The ability to identify them in a genome-wide manner depends on the availability of accurate models and of search methods able to detect putative regulatory elements with enhanced sensitivity and specificity. RESULTS: We describe the implementation of a search method for putative transcription factor binding sites (TFBSs) based on hidden Markov models built from alignments of known sites. We built 1,079 models of TFBSs using experimentally determined sequence alignments of sites provided by the TRANSFAC and JASPAR databases and used them to scan sequences of the human, mouse, fly, worm and yeast genomes. In several cases tested the method identified correctly experimentally characterized sites, with better specificity and sensitivity than other similar computational methods. Moreover, a large-scale comparison using synthetic data showed that in the majority of cases our method performed significantly better than a nucleotide weight matrix-based method. CONCLUSION: The search engine, available at http://mapper.chip.org, allows the identification, visualization and selection of putative TFBSs occurring in the promoter or other regions of a gene from the human, mouse, fly, worm and yeast genomes. In addition it allows the user to upload a sequence to query and to build a model by supplying a multiple sequence alignment of binding sites for a transcription factor of interest. Due to its extensive database of models, powerful search engine and flexible interface, MAPPER represents an effective resource for the large-scale computational analysis of transcriptional regulation.

Algorithms↗

The impact of grassland management on archaeal community structure in upland pasture rhizosphere soil.

The community structure of rhizosphere soil Archaea from three grassland types, associated with different management practices, was examined at a site in the Borders region of Scotland, by analysis of 16S rRNA gene fragments amplified from 16S rDNA and from rRNA. Denaturing gradient gel electrophoresis (DGGE) and sequence analysis of amplified products indicated high relative abundance within the archaeal community of two distinct lineages of non-thermophilic (group 1) Crenarchaeota. Grassland management practices influenced archaeal community structure, as characterized by both 16S rRNA- and 16S rDNA-derived DGGE profiles. One band dominated DGGE profiles in all three grassland types examined, and reproducible differences in the presence and intensity of bands were observed between profiles from managed and natural grassland sites. Analysis of 16S rRNA-derived amplicons from managed and natural grasslands at sites in the north of England and the north of Wales also indicated high relative abundance of non-thermophilic crenarchaeotes within the archaeal community. The band dominating the Scottish grassland site also dominated DGGE profiles from the English and Welsh sites, and similar differences were seen between profiles derived from soils subjected to different management regimes. The study indicates that grassland archaeal communities are dominated by Crenarchaeota, with closely related members of this lineage ubiquitous in distribution in UK upland pasture, and indicate that management practices influence the nature of the crenarchaeotal community.

Archaea↗

Cloning and functional analysis of cDNAs with open reading frames for 300 previously undefined genes expressed in CD34+ hematopoietic stem/progenitor cells.

Three hundred cDNAs containing putatively entire open reading frames (ORFs) for previously undefined genes were obtained from CD34+ hematopoietic stem/progenitor cells (HSPCs), based on EST cataloging, clone sequencing, in silico cloning, and rapid amplification of cDNA ends (RACE). The cDNA sizes ranged from 360 to 3496 bp and their ORFs coded for peptides of 58-752 amino acids. Public database search indicated that 225 cDNAs exhibited sequence similarities to genes identified across a variety of species. Homology analysis led to the recognition of 50 basic structural motifs/domains among these cDNAs. Genomic exon-intron organization could be established in 243 genes by integration of cDNA data with genome sequence information. Interestingly, a new gene named as HSPC070 on 3p was found to share a sequence of 105bp in 3' UTR with RAF gene in reversed transcription orientation. Chromosomal localizations were obtained using electronic mapping for 192 genes and with radiation hybrid (RH) for 38 genes. Macroarray technique was applied to screen the gene expression patterns in five hematopoietic cell lines (NB4, HL60, U937, K562, and Jurkat) and a number of genes with differential expression were found. The resource work has provided a wide range of information useful not only for expression genomics and annotation of genomic DNA sequence, but also for further research on the function of genes involved in hematopoietic development and differentiation.

Alternative Splicing↗

Species identification of Crassostrea and Ostrea oysters by polymerase chain reaction amplification of the 5S rRNA gene.

A specific multiplex polymerase chain reaction (PCR) was developed for the identification of Crassostrea angulata, C. gigas, Ostrea edulis, and O. stentina oyster species. Universal primers were used for the amplification of complete repetition units of 5S rDNA in each of the 4 species. The alignment of the obtained sequences was the basis for the specific design of species-specific primers (ED1, ED2, ST1, ST2, CR1, and CR2) located in the nontranscribed spacer regions. The different sizes of the species-specific amplicons, separated by agarose gel electrophoresis, allowed identification of Crassostrea and Ostrea species. A multiplex PCR with a set of the 6 designed primers showed that they did not interfere with each other and bound specifically to the DNA target. This genetic marker can be very useful for traceability of the species, application in the management of oyster cultures, and conservation of the genetic resources of the species.

Animals↗

Uneven distribution of expressed sequence tag loci on maize pachytene chromosomes.

Examining the relationships among DNA sequence, meiotic recombination, and chromosome structure at a genome-wide scale has been difficult because only a few markers connect genetic linkage maps with physical maps. Here, we have positioned 1195 genetically mapped expressed sequence tag (EST) markers onto the 10 pachytene chromosomes of maize by using a newly developed resource, the RN-cM map. The RN-cM map charts the distribution of crossing over in the form of recombination nodules (RNs) along synaptonemal complexes (SCs, pachytene chromosomes) and allows genetic cM distances to be converted into physical micrometer distances on chromosomes. When this conversion is made, most of the EST markers used in the study are located distally on the chromosomes in euchromatin. ESTs are significantly clustered on chromosomes, even when only euchromatic chromosomal segments are considered. Gene density and recombination rate (as measured by EST and RN frequencies, respectively) are strongly correlated. However, crossover frequencies for telomeric intervals are much higher than was expected from their EST frequencies. For pachytene chromosomes, EST density is about fourfold higher in euchromatin compared with heterochromatin, while DNA density is 1.4 times higher in heterochromatin than in euchromatin. Based on DNA density values and the fraction of pachytene chromosome length that is euchromatic, we estimate that approximately 1500 Mbp of the maize genome is in euchromatin. This overview of the organization of the maize genome will be useful in examining genome and chromosome evolution in plants.

Chromosome Mapping↗

Memory capacity for sequences in a recurrent network with biological constraints.

The CA3 region of the hippocampus is a recurrent neural network that is essential for the storage and replay of sequences of patterns that represent behavioral events. Here we present a theoretical framework to calculate a sparsely connected network's capacity to store such sequences. As in CA3, only a limited subset of neurons in the network is active at any one time, pattern retrieval is subject to error, and the resources for plasticity are limited. Our analysis combines an analytical mean field approach, stochastic dynamics, and cellular simulations of a time-discrete McCulloch-Pitts network with binary synapses. To maximize the number of sequences that can be stored in the network, we concurrently optimize the number of active neurons, that is, pattern size, and the firing threshold. We find that for one-step associations (i.e., minimal sequences), the optimal pattern size is inversely proportional to the mean connectivity c, whereas the optimal firing threshold is independent of the connectivity. If the number of synapses per neuron is fixed, the maximum number P of stored sequences in a sufficiently large, nonmodular network is independent of its number N of cells. On the other hand, if the number of synapses scales as the network size to the power of 3/2, the number of sequences P is proportional to N. In other words, sequential memory is scalable. Furthermore, we find that there is an optimal ratio r between silent and nonsilent synapses at which the storage capacity alpha = P//[c(1 + r)N] assumes a maximum. For long sequences, the capacity of sequential memory is about one order of magnitude below the capacity for minimal sequences, but otherwise behaves similar to the case of minimal sequences. In a biologically inspired scenario, the information content per synapse is far below theoretical optimality, suggesting that the brain trades off error tolerance against information content in encoding sequential memories.

Hippocampus↗

Mapping ESTs to the TSC1 candidate interval by use of the 'Science 96' transcript map.

The transcription map of the human genome published by Schuler et al. (1996) is a valuable resource in which approximately one quarter of all human genes have been mapped with respect to genetic framework markers using radiation hybrids. We have taken information from this map to provide potential genes within the TSC1 candidate region on chromosome 9q34. In so doing we have been able to provide an independent assay of the quality of the radiation hybrid mapping by using somatic cell hybrids and a 2 Mb cosmid contig covering the TSC1 region as mapping tools. In addition, we have built sequence contigs of ESTs for 25 clusters. This has shown that about 20% of the relevant EST clusters in the Unigene resource (Boguski & Schuler 1995) contain chimaeric clones.

Animals↗

Autism and ultraconserved non-coding sequence on chromosome 7q.

OBJECTIVE: Autism has been linked to a broad region on chromosome 7q that contains a large number of genes involved in transcription and development. This region is also enriched for ultraconserved non-coding elements, defined as human-rodent sequences that are 100% aligned over > or =200 base pairs, which have a high likelihood of being functional. Therefore, as only a few rare coding variants have been detected in the autism candidate genes on 7q examined to date, we decided to screen these ultraconserved elements for possible autism susceptibility alleles. METHODS: We used denaturing high-performance liquid chromatography, and DNA sequencing, to perform variant detection in a total of 146 cases with autism, 96 from the Autism Genetic Resource Exchange and 50 from the Central Valley of Costa Rica, as well as 124 controls from the Polymorphism Discovery Resource Panel. We screened 10 consecutive ultraconserved elements in, or flanking, the genes DLX5/6, AUTS2 and FOXP2 on chromosome 7q. RESULTS: Although we did find several rare variants in autism cases that were not present in controls, we also observed rare variants present in controls and not cases. The most common variant occurred in controls at a frequency of 3.3%. Interestingly, two ultraconserved elements each harbored three independent variants and one ultraconserved element harbored two independent variants, suggesting that ultraconservation is maintained chiefly by a decreased tendency toward fixation, rather than a significantly lower mutation rate. CONCLUSIONS: Our results show that these sequences are unlikely to harbor major autism susceptibility alleles.

Autistic Disorder↗

Shared attentional resources for processing visual and chemosensory information.

For many years, researchers have argued that we have separate attentional resources for the processing of information impinging on each of our sensory receptor systems. However, a number of recent studies have demonstrated the existence of shared attentional resources for the processing of auditory, visual and tactile stimuli. In the present study, we examined whether there are also common attentional resources for the processing of chemosensory stimuli. Participants made speeded (left vs. right) footpedal discrimination responses to an unpredictable sequence of visual and chemosensory stimuli presented to either nostril. The participants' attention was directed to one or the other modality by means of a symbolic auditory cue (high or low tone) at the start of each trial, which predicted the likely modality for the upcoming target on the majority (80%) of trials. Participants responded more rapidly when the target occurred in the expected modality than when it occurred in the unexpected modality, implying the existence of shared attentional resources for the processing of chemosensory and visual stimuli.

Attention↗

Analysis of the relative abundance of different types of bacteria capable of toluene degradation in a compost biofilter.

A microbial community of a compost biofilter treating toluene vapors was investigated using serum-bottle assays and mineral-agar plates. Toluene was not consumed in the absence of oxygen. However, filter-bed extracts exposed to toluene vapor as the only carbon source produced distinct colony types (phenotypic groups) that were counted separately. Strains from each group were isolated and checked for toluene-degradation activity in serum bottles. Only 15% of colonies were true toluene degraders. This population was divided into 11 genotypic groups based on DNA fingerprints. Identification of a member of each group using 16S rRNA gene-sequence comparison showed that they belonged to seven genera: Acinetobacter, Azoarcus, Mycobacterium, Nevskia, Pseudomonas, Pseudonocardia and Rhodococcus. Together, members of the genera Pseudonocardia and Rhodococcus were 34 times more numerous than all the others. We hypothesized that these two organisms are K-strategists (adapted to a resource-restricted and crowded environment) and that the compost biofilter is a K-environment. This would explain why they are not outnumbered by faster growers like Pseudomonas or Acinetobacter species, which would be r-strategists (adapted to a resource-abundant and uncrowded environment).

Bacteria↗

Phylogenetic and evolutionary relationships between Elymus humidus and other Elymus species based on sequencing of non-coding regions of cpDNA and AFLP of nuclear DNA.

Species of the genus Elymus are closely related to some important cereal crops and may thus serve as potential alien genetic resources for the improvement of these crops. E. humidus is indigenous to Japan and is well adapted to a humid climate. However, the phylogenetic and evolutionary relationships between E. humidus and other Elymus species are unclear. To elucidate these relationships, we examined the sequences of three non-coding regions of chloroplast DNA (cpDNA) and the amplified fragment length polymorphism (AFLP) variation of nuclear DNA in E. humidus and other related species. A total of 15 sequence mutations from the three non-coding regions, trnL-trnF, trnF- ndhJ(C), and atpB-rbcL, covering approximately 1,800 bp, were detected in the Elymus species. A phylogenic tree resulting from the cpDNA sequence data revealed that all the species containing the St nuclear genome (St, StH, StY, and StHY) formed a well-supported clade that is remote from the Hordeum species (H). This result strongly supports the finding that Pseudoroegneria is the maternal genome donor to the genus Elymus. In addition, E. humidus showed the closest relationship with the cpDNA genome of the Pseudoroegneria species. The AFLP analysis detected 281 polymorphic bands with 11 AFLP primer combinations. The AFLP result showed that E. humidus is relatively closer to E. tsukushiensis. However, the cpDNA sequencing results indicated that E. humidus and E. tsukushiensis have different cytoplasmic origins. Our results suggest that the evolutionary process between E. humidus and E. tsukushiensis is not monophyletic, although the two species have similar morphological characters and adaptability.

Cell Nucleus↗