Biomedical subjects

Genomics

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PubMed2006

Construction and characterization of two BAC libraries from Brachypodium distachyon, a new model for grass genomics.

Brachypodium is well suited as a model system for temperate grasses because of its compact genome and a range of biological features. In an effort to develop resources for genome research in this emerging model species, we constructed 2 bacterial artificial chromosome (BAC) libraries from an inbred diploid Brachypodium distachyon line, Bd21, using restriction enzymes HindIII and BamHI. A total of 73,728 clones (36,864 per BAC library) were picked and arrayed in 192,384-well plates. The average insert size for the BamHI and HindIII libraries is estimated to be 100 and 105 kb, respectively, and inserts of chloroplast origin account for 4.4% and 2.4%, respectively. The libraries individually represent 9.4- and 9.9-fold haploid genome equivalents with combined 19.3-fold genome coverage, based on a genome size of 355 Mb reported for the diploid Brachypodium, implying a 99.99% probability that any given specific sequence will be present in each library. Hybridization of the libraries with 8 starch biosynthesis genes was used to empirically evaluate this theoretical genome coverage; the frequency at which these genes were present in the library clones gave an estimated coverage of 11.6- and 19.6-fold genome equivalents. To obtain a first view of the sequence composition of the Brachypodium genome, 2185 BAC end sequences (BES) representing 1.3 Mb of random genomic sequence were compared with the NCBI GenBank database and the GIRI repeat database. Using a cutoff expectation value of E<10-10, only 3.3% of the BESs showed similarity to repetitive sequences in the existing database, whereas 40.0% had matches to the sequences in the EST database, suggesting that a considerable portion of the Brachypodium genome is likely transcribed. When the BESs were compared with individual EST databases, more matches hit wheat than maize, although their EST collections are of a similar size, further supporting the close relationship between Brachypodium and the Triticeae. Moreover, 122 BESs have significant matches to wheat ESTs mapped to individual chromosome bin positions. These BACs represent colinear regions containing the mapped wheat ESTs and would be useful in identifying additional markers for specific wheat chromosome regions.

Chromosomes, Artificial, Bacterial↗

PubMed2006

Construction of a nurse shark (Ginglymostoma cirratum) bacterial artificial chromosome (BAC) library and a preliminary genome survey.

BACKGROUND: Sharks are members of the taxonomic class Chondrichthyes, the oldest living jawed vertebrates. Genomic studies of this group, in comparison to representative species in other vertebrate taxa, will allow us to theorize about the fundamental genetic, developmental, and functional characteristics in the common ancestor of all jawed vertebrates. AIMS: In order to obtain mapping and sequencing data for comparative genomics, we constructed a bacterial artificial chromosome (BAC) library for the nurse shark, Ginglymostoma cirratum. RESULTS: The BAC library consists of 313,344 clones with an average insert size of 144 kb, covering ~4.5 x 1010 bp and thus providing an 11-fold coverage of the haploid genome. BAC end sequence analyses revealed, in addition to LINEs and SINEs commonly found in other animal and plant genomes, two new groups of nurse shark-specific repetitive elements, NSRE1 and NSRE2 that seem to be major components of the nurse shark genome. Screening the library with single-copy or multi-copy gene probes showed 6-28 primary positive clones per probe of which 50-90% were true positives, demonstrating that the BAC library is representative of the different regions of the nurse shark genome. Furthermore, some BAC clones contained multiple genes, making physical mapping feasible. CONCLUSION: We have constructed a deep-coverage, high-quality, large insert, and publicly available BAC library for a cartilaginous fish. It will be very useful to the scientific community interested in shark genomic structure, comparative genomics, and functional studies. We found two new groups of repetitive elements specific to the nurse shark genome, which may contribute to the architecture and evolution of the nurse shark genome.

Animals↗

PubMed2026

De novo genome assemblies of threatened Asian hornbills (Bucerotidae) reveal declining population trajectories during the late Pleistocene.

BACKGROUND: Asian hornbills are flagship species of the wet tropics that face significant threats from hunting, habitat loss, and fragmentation. Despite being conservation flagships, whole genome information is available for only two of the 32 Asian hornbill species. In this study, we provide the first de novo genome assemblies for four hornbill species (Bucerotidae) in Asia. METHODS: We used a combination of long-read and short-read sequencing data to assemble and annotate de novo hybrid genomes of four species of hornbills. We also assembled and compared mitochondrial genomes of these species. Using a comparative genomics approach, we performed orthology assignment and gene evolution analyses to identify unique gene families in Asian hornbills, gene families that showed significant expansion, their functions and structural variation. Furthermore, using the Pairwise Sequentially Markov Coalescent (PSMC) method, we reconstructed demographic histories of hornbill species to examine changes in their population trajectories in the past. RESULTS: We present hybrid genome assemblies for Great Hornbill (B. bicornis - GH), Rufous-necked Hornbill (A. nipalensis- RNH), Malabar Pied Hornbill (A. coronatus- MPH) and Wreathed Hornbill (R. undulatus- WH). The genome sizes of these hornbills range from 1.1 Gb to 1.3 Gb, with over 95.9% completeness and gene prediction BUSCO. We reported 10,525 orthogroups shared among four Asian hornbill species and identified significant expansion in gene families associated with structural keratin development in Asian hornbills compared to their ancestors. We also provide annotated mitogenomes for each of these species. Furthermore, we found that the WH, a more abundant, widely distributed, and migratory species, showed a higher Ne than the other three hornbill species. However, an overall decline in Ne for all species was recorded during the Pleistocene climatic fluctuations. CONCLUSIONS: We present the first-ever, high-quality reference genomes for the threatened hornbill species from Asia. Hornbills have shown significant expansion in genes involved in structural keratin development. Our results indicate that Pleistocene climatic fluctuations have led to dramatic population declines in all four species. We believe that this study provides robust genomic resources to support future comparative and conservation genomics efforts for hornbills.

Animals↗

PubMed2026

Assembly and characterization of the first complete mitochondrial genome of Epimedium sagittatum (Sieb. et Zucc.) Maxim (Berberidaceae):an invaluable traditional Chinese medicine.

BACKGROUND: Epimedium sagittatum (Sieb. et Zucc.) Maxim is an invaluable traditional Chinese medicine plant known for its properties of tonifying kidney yang, strengthening bones and muscles, and dispelling rheumatism. The chloroplast (cp) genome of E. sagittatum have been sequenced, offering critical insights for breeding and phylogenetic research. However, the mitochondrial (mt) genome of E. sagittatum remains uncharacterized, limiting comprehensive insights into its genomic evolution. RESULTS: In this study, we assembled the first complete mt genome of E. sagittatum employing Illumina and Nanopore sequencing technology and subsequently investigated comparative analysis with its closely related species. The mt genome of E. sagittatum was assembled as a multi-branched structure with a length of 339,191 bp, within a GC content of 46.91%. Our annotation results have shown 39 protein-coding genes (PCGs), 22 tRNA genes, three rRNA genes and four pseudogenes in the E. sagittatum mt genome. The analysis of sequence repeats has detected 79 simple sequence repeats (SSRs), 10 tandem repeats and 255 dispersed repeats in the E. sagittatum mt genome. A total of 720 C to U RNA editing sites of the 34 PCGs was predicted in E. sagittatum. The codons exhibited a strong preference for A or U bases in the E. sagittatum mt genome. The analysis of nucleotide diversity (Pi) highlighted differences in genetic variability across the tested genes, with atp9 gene exhibiting the highest genetic variation. Selection pressure analysis showed that most genes were affected by negative selection during evolution, whereas ccmB, rps10, and rps12 underwent positive selection in different plants. Additionally, a Bayesian phylogenetic tree showed that E. sagittatum was closely related to E. wushanense and E. pubescens. In total of 14 homologous fragments totaling 8,954 bp were identified between the cp and mt genomes of E. sagittatum. CONCLUSIONS: This study presents the first assembled and annotated mt genome of E. sagittatum, which provides a valuable genetic resource for the Epimedium genus and lays the foundation for investigating the phylogenetic relationship and genetic variation of this invaluable medicinal plant.

Epimedium↗

PubMed2006

A method for similarity search of genomic positional expression using CAGE.

With the advancement of genome research, it is becoming clear that genes are not distributed on the genome in random order. Clusters of genes distributed at localized genome positions have been reported in several eukaryotes. Various correlations have been observed between the expressions of genes in adjacent or nearby positions along the chromosomes depending on tissue type and developmental stage. Moreover, in several cases, their transcripts, which control epigenetic transcription via processes such as transcriptional interference and genomic imprinting, occur in clusters. It is reasonable that genomic regions that have similar mechanisms show similar expression patterns and that the characteristics of expression in the same genomic regions differ depending on tissue type and developmental stage. In this study, we analyzed gene expression patterns using the cap analysis gene expression (CAGE) method for exploring systematic views of the mouse transcriptome. Counting the number of mapped CAGE tags for fixed-length regions allowed us to determine genomic expression levels. These expression levels were normalized, quantified, and converted into four types of descriptors, allowing the expression patterns along the genome to be represented by character strings. We analyzed them using dynamic programming in the same manner as for sequence analysis. We have developed a novel algorithm that provides a novel view of the genome from the perspective of genomic positional expression. In a similarity search of expression patterns across chromosomes and tissues, we found regions that had clusters of genes that showed expression patterns similar to each other depending on tissue type. Our results suggest the possibility that the regions that have sense-antisense transcription show similar expression patterns between forward and reverse strands.

Algorithms↗

PubMed2001

The role of genomics in antibacterial target discovery.

Complete DNA sequence information has now been obtained for several prokaryotic genomes, defining the entire genetic complement of these organisms. The collection of genomic data has provided new insights into the molecular architecture of bacterial cells, revealing the basic genetic and metabolic structures that support viability of the organisms. Genomic information has also revealed new avenues for inhibition of bacterial growth and viability, expanding the number of possible drug targets for antibiotic discovery. This review examines how genomic sciences and experimental tools are applied to antibacterial target discovery, the necessary first step in the development of new antibiotic classes. Significant advances have been realized in the development of functional genomic, comparative genomic, and proteomic methods for the analysis of completed genomes. The combination of these methods can be used to systematically parse the genome and identify targets worthy of inhibitor screens. Two basic categories of targets emerge from this exercise, comprising in vitro essential targets required for bacterial viability on synthetic media and in vivo essential targets required to establish and maintain infection within a host organism. Current use of genomic information is focused primarily on a definition of all in vitro essential targets that satisfy criteria of selectivity, spectrum, and novelty. As the genomes of additional bacterial pathogens are solved, it will be possible to select in vivo essential targets common to groups of select pathogens (e.g., bacterial agents of community acquired pneumonia) or even pathogen-specific targets. Consideration of host-pathogen interactions, defined at the level of gene expression for each organism, might provide novel therapeutic options in the future.

Animals↗

PubMed2002

Genomic biodiversity, phylogenetics and coevolution in proteins.

Comprehensive sampling of genomic biodiversity is fast becoming a reality for some genomic regions and complete organelle genomes. Genomic biodiversity is defined as large genomic sequences from many species, and here some recent work is reviewed that demonstrates the potential benefits of genomic biodiversity for molecular evolutionary analysis and phylogenetic reconstruction. This work shows that using likelihood-based approaches, taxon addition can dramatically improve phylogenetic reconstruction. Features or dynamics of the evolutionary process are much more easily inferred with large numbers of taxa, and large numbers are essential for discriminating differences in evolutionary patterns between sites. Accurate prediction of site-specific patterns can improve phylogenetic reconstruction by an amount equivalent to quadrupling sequence length. Genomic biodiversity is particularly central to research relating patterns of evolution, adaptation and coevolution to structural and functional features of proteins. Research on detecting coevolution between amino acid residues in proteins demonstrates a clear need for much greater numbers of closely related taxa to better discriminate site-specific patterns of interaction, and to allow more detailed analysis of coevolutionary interactions between subunits in protein complexes. It is argued that parsing out coevolutionary and other context-dependent substitution probabilities is essential for discriminating between coevolution and adaptation, and for more realistically modelling the evolution of proteins. Also reviewed is research that argues for increasing the efficiency of acquiring genomic biodiversity, and suggests that this might be done by simultaneously shotgun cloning and sequencing genomic mixtures from many species. Increased efficiency is a prerequisite if genomic biodiversity levels are to rapidly increase by orders of magnitude, and thus lead to dramatically improved understanding of interactions between protein structure, function and sequence evolution.

Biodiversity↗

PubMed2004

Estimation of the number of authentic orphan genes in bacterial genomes.

Genome annotation produces a considerable number of putative proteins lacking sequence similarity to known proteins. These are referred to as "orphans." The proportion of orphan genes varies among genomes, and is independent of genome size. In the present study, we show that the proportion of orphan genes roughly correlates with the isolation index of organisms (IIO), an indicator introduced in the present study, which represents the degree of isolation of a given genome as measured by sequence similarity. However, there are outlier genomes with respect to the linear correlation, consisting of those genomes that may contain excess amounts of orphan genes. Comparisons of genome sequences among closely related strains revealed that some of the annotated genes are not conserved, suggesting that they are ORFs occurring by chance. Exclusion of these non-conserved ORFs within closely related genomes improved the correlation between the proportion of orphan genes and the IIO values. Assuming that the correlation holds in general, this relationship was used to estimate the number of "authentic" orphan genes in a genome. Using this definition of authentic orphan genes, the anomalies arising from over-assignments, e.g., the percentages of structural annotations, were corrected for 16 genomes, including those of five archaea.

Amino Acid Sequence↗

PubMed1993

A plan for the mouse genome project. Joint NIH/DOE Mouse Working Group.

The National Center for Human Genome Research and the Department of Energy convened a committee of geneticists and biologists who use the laboratory mouse in their research programs. Their responsibility was to identify goals and guidelines for completing the genetic and physical maps of the mouse genome. The motivation for convening this group was to make certain that existing and anticipated research projects together represent a comprehensive program for addressing the Five Year Goals of the Human Genome Project. Three meetings were held: the first addressed the contributions that the mouse can make to the Human Genome Project; the second meeting reviewed the status of the genetic map, gene mapping research, and genome informatics; and the final meeting evaluated the status of the physical map and physical mapping research. The committee then prepared a report that reviewed the status of the mouse genome project and made recommendations concerning areas of research emphasis. The resulting Request For Applications entitled 'Mapping the Mouse Genome with Emphasis on Technology Development' (RFA: HG-92-002) is an important mechanism for coordinating mouse genome research and accomplishing the goals of the mouse genome project. Progress towards complete genetic and physical maps has been impressive. The genetic map should be completed on schedule, and ongoing physical mapping projects are promising. Given rapid progress on these maps, the Working Group proposed expanding the focus of the mouse genome effort to begin planning comprehensive approaches for characterizing the function of the large number of genes that will soon be mapped and eventually sequenced.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

PubMed2026

Integrating genomics, multi-omics, CRISPR and speed breeding for stress-resilient vegetable legume improvement.

Vegetable legumes are nutritionally and ecologically important crops. However, their genetic improvement has not kept pace with the increasing challenges posed by climate change due to the polygenic nature of stress tolerance, narrow genetic diversity, and the persistent gap between molecular discoveries and field-level cultivar development. Although recent reviews have examined individual genomic tools or specific stress responses, a comprehensive synthesis integrating genomics-assisted breeding, multi-omics technologies, genome editing, and speed breeding within a unified crop improvement framework has been lacking. This review addresses that gap by critically evaluating how these complementary approaches can accelerate the development of stress-resilient vegetable legumes, including pea, common bean, cowpea, faba bean, cluster bean, yard-long bean, and hyacinth bean. This review synthesizes advances in QTL mapping, genome-wide association studies, transcriptomics, metabolomics, and CRISPR-based functional genomics that have identified key regulators and pathways underlying resistance to major biotic and abiotic stresses. Rather than considering these technologies independently, the review emphasizes their convergence into a systems-level breeding framework integrating genomic discovery, functional validation, predictive breeding, and accelerated generation advancement to improve breeding efficiency. Speed breeding, enabling up to seven to eight generations annually under optimized controlled-environment experimental conditions in cowpea, is discussed as a complementary strategy with genomic selection and genome editing. The review further identifies major translational bottlenecks, including transformation recalcitrance, limited genomic resources for underutilized vegetable legumes, inadequate multi-environment validation, and fragmented omics integration, and presents an integrated systems-breeding framework to bridge the gap between gene discovery and cultivar development.

Fabaceae↗

PubMed2026

Global inequities in hepatitis B and C genomic surveillance revealed through an interactive data integration dashboard.

OBJECTIVES: To assess global disparities in hepatitis B virus (HBV) and hepatitis C virus (HCV) genomic surveillance and to develop an integrated platform that links genomic data with epidemiological burden. STUDY DESIGN: Retrospective observational analysis. METHODS: We reviewed existing viral genomic repositories to identify structural and analytical limitations. Subsequently, we integrated 10 996 HBV and 3533 HCV whole-genome sequences (WGS) from public databases with Global Burden of Disease (GBD) estimates to quantify inequities in genomic surveillance across countries and genotypes. Using these data, we developed the open-access Hepatitis Dashboard, incorporating >14 000 sequences from 141 countries with GBD metrics to evaluate representativeness and sequencing coverage relative to disease burden. RESULTS: Marked inequities in hepatitis genomic surveillance were identified. Despite increasing HBV- and HCV-associated mortality, virus sequence availability remains geographically and genotypically skewed-dominated by China and the United States, with substantial underrepresentation of HBV genotype E and HCV genotypes 5 and 8. Many high-endemic countries in Africa and the Western Pacific remain severely undersampled. We detected circulating antiviral drug-resistance mutations and developed a burden-adjusted sequencing coverage metric, revealing that several high-burden countries, including China, Nigeria and India, are among the least represented in global genomic datasets. Projections to 2030 indicate that neither HBV nor HCV are currently on track to meet WHO elimination targets. CONCLUSIONS: The Hepatitis Dashboard provides an integrated, continuously updated resource that links genomic and epidemiological data to quantify and visualise global surveillance gaps. This analysis highlights a critical disconnect between sequencing efforts and public health needs, which may limit the effectiveness of surveillance-informed strategies to support progress toward WHO 2030 elimination goals. By enabling burden-adjusted prioritisation and longitudinal tracking of genomic coverage, the platform supports evidence-based sampling strategies, equitable resource allocation, and monitoring of global progress toward hepatitis elimination.

Humans↗

PubMed2025

GenomeDecoder: inferring segmental duplications in highly repetitive genomic regions.

MOTIVATION: The emergence of the 'telomere-to-telomere' genomics brought the challenge of identifying segmental duplications (SDs) in complete genomes. It further opened a possibility for identifying the differences in SDs across individual human genomes and studying the SD evolution. These newly emerged challenges require algorithms for reconstructing SDs in the most complex genomic regions that evaded all previous attempts to analyze their architecture, such as rapidly evolving immunoglobulin loci. RESULTS: We describe the GenomeDecoder algorithm for inferring SDs and apply it to analyzing genomic architectures of various loci in primate genomes. Our analysis revealed that multiple duplications/deletions led to a rapid birth/death of immunoglobulin genes within the human population and large changes in genomic architecture of immunoglobulin loci across primate genomes. Comparison of immunoglobulin loci across primate genomes suggests that they are subjected to diversifying selection. AVAILABILITY AND IMPLEMENTATION: GenomeDecoder is available at https://github.com/ZhangZhenmiao/GenomeDecoder. The software version and test data used in this paper are uploaded to https://doi.org/10.5281/zenodo.14753844.

Humans↗

PubMed2026

Genome evolution and long-term demographic history in true crocodiles.

Reference-quality genomes remain scarce for true crocodiles (Crocodylus), limiting comparative analyses of genome evolution and demographic history. Here, we generated and analyzed 2 long-read genomes, 1 for Crocodylus intermedius and 1 for C. niloticus, to investigate genome architecture, coalescent effective population size (Ne), and patterns of molecular evolution across crocodilians. Comparative analyses revealed broadly similar repeat landscapes in both species and extensive macro-synteny with Alligator sinensis, indicating strong structural conservation across crocodilian genomes. Using phased diploid assemblies and MSMC2, we reconstructed historical Ne trajectories and found marked differences between species. Crocodylus intermedius exhibited persistently low Ne throughout most of the late Quaternary, with a pronounced decline during the Late Pleistocene-early Holocene transition. In contrast, C. niloticus showed substantially larger Ne over comparable time intervals. Genome-wide codon-based analyses identified significant heterogeneity in dN/dS (ω) among crocodilian lineages. Crocodylus niloticus showed the lowest genome-wide ω, whereas elevated values in C. intermedius and other lineages were consistent with reduced long-term efficacy of purifying selection under smaller historical population sizes. Branch-site tests identified candidate genes under positive selection in both focal species, with functional categories related to ion transport, endocrine regulation, and cellular signaling. Together, these results provide genomic resources for Crocodylus and support an association between long-term demographic history and genome-wide patterns of molecular evolution across crocodilians.

Animals↗

PubMed2000

Assessment of compositional heterogeneity within and between eukaryotic genomes.

Using large amounts of long genomic sequences, we studied the compositional patterns of eukaryotic genomes. We developed a simple measure, the compositional heterogeneity (or variability) index, to compare the differences in compositional heterogeneity between long genomic sequences. The index measures the average difference in GC content between two adjacent windows normalized by the standard error expected under the assumption of random distribution of nucleotides in a window. We report the following findings: (1) The extent of the compositional heterogeneity in a genomic sequence strongly correlates with its GC content in all multicellular eukaryotes studied regardless of genome size. (2) The human genome appears to be highly compositionally heterogeneous both within and between individual chromosomes; the heterogeneity goes much beyond the predictions of the isochore model. (3) All genomes of multicellular eukaryotes examined in this study are compositionally heterogeneous, although they also contain compositionally uniform segments, or isochores. (4) The true uniqueness of the human (or mammalian) genome is the presence of very high GC regions, which exhibit unusually high compositional heterogeneity and contain few long homogeneous segments (isochores). In general, GC-poor isochores tend to be longer than GC-rich ones. These findings indicate that the genomes of multicellular organisms are much more heterogeneous in nucleotide composition than depicted by the isochore model and so lead to a looser definition of isochores.

Algorithms↗

PubMed2025

Reference genome bias in light of species-specific chromosomal reorganization and translocations.

BACKGROUND: Whole-genome sequencing efforts, have during the past decade, unveiled the central role of genomic rearrangements-such as chromosomal inversions-in evolutionary processes, including local adaptation in a wide range of taxa. However, employment of reference genomes from distantly or even closely related species for mapping and the subsequent variant calling can lead to errors and/or biases in the datasets generated for downstream analyses. RESULTS: Here, we capitalize on the recently generated chromosome-anchored genome assemblies for Arctic cod (Arctogadus glacialis), polar cod (Boreogadus saida), and Atlantic cod (Gadus morhua) to evaluate the extent and consequences of reference bias on population sequencing datasets (approx. 15-20 × coverage) for both Arctic cod and polar cod. Our findings demonstrate that the choice of reference genome impacts the mapping statistics, including mapping depth and mapping quality, as well as core population genetic estimates, such as heterozygosity levels, nucleotide diversity (π), and cross-species genetic divergence (DXY). Furthermore, using a more distantly related reference genome can lead to inaccurate detection and characterization of chromosomal inversions, i.e., in terms of size (length) and location (position), due to inter-chromosomal reorganizations between species. Additionally, we observe that some of the verified species-specific inversions are split across multiple genomic regions when mapped against a heterospecific reference. CONCLUSIONS: Inaccurate identification of chromosomal rearrangements as well as biased population genetic measures could potentially lead to erroneous interpretation of species-specific genomic diversity, impede the resolution of local adaptation, and thus, impact predictions of their genomic potential to respond to climatic and other environmental perturbations.

Animals↗

PubMed2003

Informatics for unveiling hidden genome signatures.

With the increasing amount of available genome sequences, novel tools are needed for comprehensive analysis of species-specific sequence characteristics for a wide variety of genomes. We used an unsupervised neural network algorithm, a self-organizing map (SOM), to analyze di-, tri-, and tetranucleotide frequencies in a wide variety of prokaryotic and eukaryotic genomes. The SOM, which can cluster complex data efficiently, was shown to be an excellent tool for analyzing global characteristics of genome sequences and for revealing key combinations of oligonucleotides representing individual genomes. From analysis of 1- and 10-kb genomic sequences derived from 65 bacteria (a total of 170 Mb) and from 6 eukaryotes (460 Mb), clear species-specific separations of major portions of the sequences were obtained with the di-, tri-, and tetranucleotide SOMs. The unsupervised algorithm could recognize, in most 10-kb sequences, the species-specific characteristics (key combinations of oligonucleotide frequencies) that are signature features of each genome. We were able to classify DNA sequences within one and between many species into subgroups that corresponded generally to biological categories. Because the classification power is very high, the SOM is an efficient and fundamental bioinformatic strategy for extracting a wide range of genomic information from a vast amount of sequences.

Animals↗

PubMed2000

The Human Genome Project--an overview.

The human genome sequence will underpin human biology and medicine in the next century, providing a single, essential reference to all genetic information. The international program to determine the complete DNA sequence (3,000 million bases) is well underway. As of January 2000, 50% of the sequence is available in the public domain. A comprehensive working draft is expected this year, and the entire sequence is projected to be finished in 2003. DNA sequencing is carried out on mapped, overlapping bacterial clones of 150-200 kb. The working draft comprises assembled unfinished sequence and is released immediately in the public domain. The draft sequence of each clone is then completed, by closing any remaining gaps and resolving any ambiguities, before the entire sequence is checked, annotated, and submitted to the public databases. The sequence of each clone is finished to an accuracy of >99.99%. The availability of a reference sequence of the genome provides the basis for studying the nature of sequence variation, particularly single nucleotide polymorphisms (SNPs), in human populations. SNP typing is a powerful tool for genetic analysis, and will enable us to uncover the association of loci at specific sites in the genome with many disease traits. SNPs occur at a frequency of approximately 1 SNP/kb throughout the genome when the sequence of any two individuals is compared. Programs to detect and map SNPs in the human genome are underway with the aim of establishing a SNP map of the genome during the next two years. The human genome sequence will provide a complete description of all the genes. Annotation of the sequence with the gene structures is achieved by a combination of computational analysis (predictive and homology-based) and experimental confirmation by cDNA sequencing. Detecting homologies between newly defined gene products and proteins of known function helps to postulate biochemical functions for them, which can then be tested. Establishing the association of specific genes with disease phenotypes by mutation screening, particularly for monogenic disorders, provides further assistance in defining the functions of some gene products, as well as helping to establish the cause of the disease. As our knowledge of gene sequences and sequence variation in populations increases, we will pinpoint more and more of the genes and proteins that are important in common, complex diseases. A more detailed understanding of the function of the human genome will be achieved as we identify sequences that control gene expression. Given the availability of gene sequences, the expression status of genes in particular tissues can be monitored in parallel. By comparing corresponding genomic sequences in different species (for example: man, mouse, chicken, and zebrafish), regions that have been highly conserved during evolution can be identified, many of which reflect conserved functions such as gene regulation. These approaches promise to greatly accelerate our interpretation of the human genome sequence.

Human Genome Project↗

PubMed1990

Steroid effects on neuronal activity: when is the genome involved?

For over four decades steroids have been regarded first as facilitators of enzymic reactions and subsequently as activators of genomic activity. The brain, long studied in terms of its bioelectric properties and anatomical connectivity, has now been recognized as a complex target tissue for genomic effects of steroid hormones, which bring about long-lasting alterations in brain structure and neurochemistry as well as changes in behaviour and neuroendocrine function. Studies of steroid effects on brain bioelectric activity have also shown rapid effects which are difficult to explain by a strictly genomic mechanism. One way to distinguish between genomic and non-genomic effects is by the time course, with extremely rapid effects being non-genomic and delayed effects being genomic. Effects with onset latencies of minutes to an hour may be due to either mechanism. Examples illustrating genomic actions include delayed effects of oestrogen which alter oxytocin and GABAA receptors and induce spines on dendrites and delayed glucocorticoid effects on neuronal survival. There are also examples of apparent genomic effects of oestradiol which interact with rapid and apparently non-genomic effects of progesterone: progesterone rapidly promotes spread of oestrogen-induced oxytocin receptors in ventromedial hypothalamus and rapidly modifies oestrogen-regulated GABAA receptor density in hypothalamus. The former effect is one produced by progesterone itself whereas the latter effect may be related to the ability of progesterone metabolites to interact with the chloride channel of the GABAA-benzodiazepine receptor complex.

Animals↗