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PubMed2004

A genome sequence survey of the filarial nematode Brugia malayi: repeats, gene discovery, and comparative genomics.

Comparative nematode genomics has thus far been largely constrained to the genus Caenorhabditis, but a huge diversity of other nematode species, and genomes, exist. The Brugia malayi genome is approximately 100 Mb in size, and distributed across five chromosome pairs. Previous genomic investigations have included definition of major repeat classes and sequencing of selected genes. We have generated over 18,000 sequences from the ends of large-insert clones from bacterial artificial chromosome libraries. These end sequences, totalling over 10 Mb of sequence, contain just under 8 Mb of unique sequence. We identified the known Mbo I and Hha I repeat families in the sequence data, and also identified several new repeats based on their abundance. Genomic copies of 17% of B. malayi genes defined by expressed sequence tags have been identified. Nearly one quarter of end sequences can encode peptides with significant similarity to protein sequences in the public databases, and we estimate that we have identified more than 2700 new B. malayi genes. Importantly, 459 end sequences had homologues in other organisms, but lacked a match in the completely sequenced genomes of Caenorhabditis briggsae and Caenorhabditis elegans, emphasising the role of gene loss in genome evolution. B. malayi is estimated to have over 18,500 protein-coding genes.

Animals↗

PubMed2006

The maize genome as a model for efficient sequence analysis of large plant genomes.

The genomes of flowering plants vary in size from about 0.1 to over 100 gigabase pairs (Gbp), mostly because of polyploidy and variation in the abundance of repetitive elements in intergenic regions. High-quality sequences of the relatively small genomes of Arabidopsis (0.14 Gbp) and rice (0.4 Gbp) have now been largely completed. The sequencing of plant genomes that have a more representative size (the mean for flowering plant genomes is 5.6 Gbp) has been seen as a daunting task, partly because of their size and partly because of the numerous highly conserved repeats. Nevertheless, creative strategies and powerful new tools have been generated recently in the plant genetics community, so that sequencing large plant genomes is now a realistic possibility. Maize (2.4-2.7 Gbp) will be the first gigabase-size plant genome to be sequenced using these novel approaches. Pilot studies on maize indicate that the new gene-enrichment, gene-finishing and gene-orientation technologies are efficient, robust and comprehensive. These strategies will succeed in sequencing the gene-space of large genome plants, and in locating all of these genes and adjacent sequences on the genetic and physical maps.

DNA, Plant↗

PubMed2003

Comparisons with Caenorhabditis (approximately 100 Mb) and Drosophila (approximately 175 Mb) using flow cytometry show genome size in Arabidopsis to be approximately 157 Mb and thus approximately 25% larger than the Arabidopsis genome initiative estimate of approximately 125 Mb.

Recent genome sequencing papers have given genome sizes of 180 Mb for Drosophila melanogaster Iso-1 and 125 Mb for Arabidopsis thaliana Columbia. The former agrees with early cytochemical estimates, but numerous cytometric estimates of around 170 Mb imply that a genome size of 125 Mb for arabidopsis is an underestimate. In this study, nuclei of species pairs were compared directly using flow cytometry. Co-run Columbia and Iso-1 female gave a 2C peak for arabidopsis only approx. 15 % below that for drosophila, and 16C endopolyploid Columbia nuclei had approx. 15 % more DNA than 2C chicken nuclei (with >2280 Mb). Caenorhabditis elegans Bristol N2 (genome size approx. 100 Mb) co-run with Columbia or Iso-1 gave a 2C peak for drosophila approx. 75 % above that for 2C C. elegans, and a 2C peak for arabidopsis approx. 57 % above that for C. elegans. This confirms that 1C in drosophila is approx. 175 Mb and, combined with other evidence, leads us to conclude that the genome size of arabidopsis is not approx. 125 Mb, but probably approx. 157 Mb. It is likely that the discrepancy represents extra repeated sequences in unsequenced gaps in heterochromatic regions. Complete sequencing of the arabidopsis genome until no gaps remain at telomeres, nucleolar organizing regions or centromeres is still needed to provide the first precise angiosperm C-value as a benchmark calibration standard for plant genomes, and to ensure that no genes have been missed in arabidopsis, especially in centromeric regions, which are clearly larger than once imagined.

Animals↗

PubMed2006

Phytophthora functional genomics database (PFGD): functional genomics of phytophthora-plant interactions.

The Phytophthora Functional Genomics Database (PFGD; http://www.pfgd.org), developed by the National Center for Genome Resources in collaboration with The Ohio State University-Ohio Agricultural Research and Development Center (OSU-OARDC), is a publicly accessible information resource for Phytophthora-plant interaction research. PFGD contains transcript, genomic, gene expression and functional assay data for Phytophthora infestans, which causes late blight of potato, and Phytophthora sojae, which affects soybeans. Automated analyses are performed on all sequence data, including consensus sequences derived from clustered and assembled expressed sequence tags. The PFGD search filter interface allows intuitive navigation of transcript and genomic data organized by library and derived queries using modifiers, annotation keywords or sequence names. BLAST services are provided for libraries built from the transcript and genomic sequences. Transcript data visualization tools include Quality Screening, Multiple Sequence Alignment and Features and Annotations viewers. A genomic browser that supports comparative analysis via novel dynamic functional annotation comparisons is also provided. PFGD is integrated with the Solanaceae Genomics Database (SolGD; http://www.solgd.org) to help provide insight into the mechanisms of infection and resistance, specifically as they relate to the genus Phytophthora pathogens and their plant hosts.

Algal Proteins↗

PubMed2006

Phytophthora genomics: the plant destroyers' genome decoded.

The year 2004 was an exciting one for the Phytophthora research community. The United States Department of Energy Joint Genome Institute (JGI) completed the draft genome sequence of two Phytophthora species, Phytophthora sojae and Phytophthora ramorum. In August of that year over 50 people gathered at JGI in Walnut Creek, California, for an annotation jamboree and searched for the secrets and surprises that the two genomes have in petto. This culminated in a paper in Science in September of this year describing the highlights of the sequencing project and emphasizing the power of having the genome sequences of two closely related organisms. This MPMI Focus issue on Phytophthora genomics contains a number of more specialized manuscripts centered on gene annotation and genome organization, and complemented with manuscripts that rely on genomics resources.

Algal Proteins↗

PubMed2003

Large-scale variation among human and great ape genomes determined by array comparative genomic hybridization.

Large-scale genomic rearrangements are a major force of evolutionary change and the ascertainment of such events between the human and great ape genomes is fundamental to a complete understanding of the genetic history and evolution of our species. Here, we present the results of an evolutionary analysis utilizing array comparative genomic hybridization (array CGH), measuring copy-number gains and losses among these species. Using an array of 2460 human bacterial artificial chromosomes (BACs) (12% of the genome), we identified a total of 63 sites of putative DNA copy-number variation between humans and the great apes (chimpanzee, bonobo, gorilla, and orangutan). Detailed molecular characterization of a subset of these sites confirmed rearrangements ranging from 40 to at least 175 kb in size. Surprisingly, the majority of variant sites differentiating great ape and human genomes were found within interstitial euchromatin. These data suggest that such large-scale events are not restricted solely to subtelomeric or pericentromeric regions, but also occur within genic regions. In addition, 5/9 of the verified variant sites localized to areas of intrachromosomal segmental duplication within the human genome. On the basis of the frequency of duplication in humans, this represents a 14-fold positional bias. In contrast to previous cytogenetic and comparative mapping studies, these results indicate extensive local repatterning of hominoid chromosomes in euchromatic regions through a duplication-driven mechanism of genome evolution.

Animals↗

PubMed2002

Functional genomics on potato virus A: virus genome-wide map of sites essential for virus propagation.

Transposition-based in vitro insertional mutagenesis strategies provide promising new approaches for functional characterization of any cloned gene or genome region. We have extended the methodology and scope of such analysis to a complete viral genome. To map genome regions both essential and nonessential for Potato virus A propagation, we generated a genomic 15-bp insertion mutant library utilizing the efficient in vitro DNA transposition reaction of phage Mu. We then determined the proficiency of 1125 mutants to propagate in tobacco protoplasts by using a genetic footprinting strategy that simultaneously mapped the genomic insertion sites. Over 300 sites critical for virus propagation were identified, and many of them were located in positions previously not assigned to any viral functions. Many genome regions tolerated insertions indicating less important sites for virus propagation and thus pinpointed potential locations for further genome manipulation. The methodology described is applicable to a detailed functional analysis of any viral nucleic acid cloned as DNA and can be used to address many different processes during viral infection cycles.

3' Untranslated Regions↗

PubMed2003

Analysis of primate genomic variation reveals a repeat-driven expansion of the human genome.

We performed a detailed analysis of both single-nucleotide and large insertion/deletion events based on large-scale comparison of 10.6 Mb of genomic sequence from lemur, baboon, and chimpanzee to human. Using a human genomic reference, optimal global alignments were constructed from large (>50-kb) genomic sequence clones. These alignments were examined for the pattern, frequency, and nature of mutational events. Whereas rates of single-nucleotide substitution remain relatively constant (1-2 x 10(-9) substitutions/site/year), rates of retrotransposition vary radically among different primate lineages. These differences have lead to a 15%-20% expansion of human genome size over the last 50 million years of primate evolution, 90% of it due to new retroposon insertions. Orthologous comparisons with the chimpanzee suggest that the human genome continues to significantly expand due to shifts in retrotransposition activity. Assuming that the primate genome sequence we have sampled is representative, we estimate that human euchromatin has expanded 30 Mb and 550 Mb compared to the primate genomes of chimpanzee and lemur, respectively.

Animals↗

PubMed2005

Conservation genomics: applying whole genome studies to species conservation efforts.

Studies of complete genomes are leading to a new understanding of the biology of mammals and providing ongoing insights into the fundamental aspects of the organization and evolution of biological systems. Comparison of primate genomes can identify aspects of their organization, regulation and function that appeared during the primate radiation, but without comparison to more evolutionarily distant mammals and other vertebrates, highly conserved aspects of genome architecture will not be accurately identified nor will the lineage-specific changes be identified as such. Many species of primates face risks of extinction; yet the knowledge of their genomes will provide a deeper understanding of primate adaptations, human origins, and provide the framework for discoveries anticipated to improve human medicine. The great apes, the closest relatives of the human species, are among the most vulnerable and most important for human medical studies. However, apes are not the only species whose genomic information will enrich humankind. Comparative genomic studies of endangered species can benefit conservation efforts on their behalf. Increased knowledge of genome makeup and variation in endangered species finds conservation application in population evaluation monitoring and management, understanding phylozoogeography, can enhance wildlife health management, identify risk factors for genetic disorders, and provide insights into demographic management of small populations in the wild and in captivity.

Animals↗

PubMed2005

Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computational genomic analysis.

BACKGROUND: A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription factor. We present a method for target identification that combines experimental characterization of binding requirements with computational genomic analysis. RESULTS: Our method identified potential target genes of the transcription factor Ndt80, a key transcriptional regulator involved in yeast sporulation, using the combined information of binding affinity, positional distribution, and conservation of the binding sites across multiple species. We have also developed a mathematical approach to compute the false positive rate and the total number of targets in the genome based on the multiple selection criteria. CONCLUSION: We have shown that combining biochemical characterization and computational genomic analysis leads to accurate identification of the genome-wide targets of a transcription factor. The method can be extended to other transcription factors and can complement other genomic approaches to transcriptional regulation.

Amino Acid Motifs↗

PubMed2006

AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.

BACKGROUND: A large number of gene prediction programs for the human genome exist. These annotation tools use a variety of methods and data sources. In the recent ENCODE genome annotation assessment project (EGASP), some of the most commonly used and recently developed gene-prediction programs were systematically evaluated and compared on test data from the human genome. AUGUSTUS was among the tools that were tested in this project. RESULTS: AUGUSTUS can be used as an ab initio program, that is, as a program that uses only one single genomic sequence as input information. In addition, it is able to combine information from the genomic sequence under study with external hints from various sources of information. For EGASP, we used genomic sequence alignments as well as alignments to expressed sequence tags (ESTs) and protein sequences as additional sources of information. Within the category of ab initio programs AUGUSTUS predicted significantly more genes correctly than any other ab initio program. At the same time it predicted the smallest number of false positive genes and the smallest number of false positive exons among all ab initio programs. The accuracy of AUGUSTUS could be further improved when additional extrinsic data, such as alignments to EST, protein and/or genomic sequences, was taken into account. CONCLUSION: AUGUSTUS turned out to be the most accurate ab initio gene finder among the tested tools. Moreover it is very flexible because it can take information from several sources simultaneously into consideration.

Amino Acid Sequence↗

PubMed2005

Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.

The bias in protein structure and function space resulting from experimental limitations and targeting of particular functional classes of proteins by structural biologists has long been recognized, but never continuously quantified. Using the Enzyme Commission and the Gene Ontology classifications as a reference frame, and integrating structure data from the Protein Data Bank (PDB), target sequences from the structural genomics projects, structure homology derived from the SUPERFAMILY database, and genome annotations from Ensembl and NCBI, we provide a quantified view, both at the domain and whole-protein levels, of the current and projected coverage of protein structure and function space relative to the human genome. Protein structures currently provide at least one domain that covers 37% of the functional classes identified in the genome; whole structure coverage exists for 25% of the genome. If all the structural genomics targets were solved (twice the current number of structures in the PDB), it is estimated that structures of one domain would cover 69% of the functional classes identified and complete structure coverage would be 44%. Homology models from existing experimental structures extend the 37% coverage to 56% of the genome as single domains and 25% to 31% for complete structures. Coverage from homology models is not evenly distributed by protein family, reflecting differing degrees of sequence and structure divergence within families. While these data provide coverage, conversely, they also systematically highlight functional classes of proteins for which structures should be determined. Current key functional families without structure representation are highlighted here; updated information on the "most wanted list" that should be solved is available on a weekly basis from http://function.rcsb.org:8080/pdb/function_distribution/index.html.

Databases, Protein↗

PubMed2006

The jewels of our genome: the search for the genomic changes underlying the evolutionarily unique capacities of the human brain.

The recent publication of the initial sequence and analysis of the chimp genome allows us, for the first time, to compare our genome with that of our closest living evolutionary relative. With more primate genome sequences being pursued, and with other genome-wide, cross-species comparative techniques emerging, we are entering an era in which we will be able to carry out genomic comparisons of unprecedented scope and detail. These studies should yield a bounty of new insights about the genes and genomic features that are unique to our species as well as those that are unique to other primate lineages, and may begin to causally link some of these to lineage-specific phenotypic characteristics. The most intriguing potential of these new approaches will be in the area of evolutionary neurogenomics and in the possibility that the key human lineage-specific (HLS) genomic changes that underlie the evolution of the human brain will be identified. Such new knowledge should provide fresh insights into neuronal development and higher cognitive function and dysfunction, and may possibly uncover biological mechanisms for information storage, analysis, and retrieval never previously seen.

Animals↗

PubMed2007

Mycoplasma genomics: tailoring the genome for minimal life requirements through reductive evolution.

Prokaryotic organisms of the genus Mycoplasma are characterized by their small body and genome size containing a 0.6-1.35 M bp genome. The genome is noted for its low G+C frequency ranging from 8-40 mol%. The Mycoplasma genus stems from the class Mollicutes (for soft skin), which lacks the cell walls and external motility appendages often present in other bacteria. To date, there are more than 100 known species of Mycoplasma. 34 species have been partially or completely sequenced. Widely known pathogenic species of Mycoplasma include: M. pneumoniae, causing pneumonia and other respiratory disorders, and M. genitalium, which are involved in pelvic inflammatory disease. Because of their small genome size, Mycoplasmas provide researchers a unique model of the minimal genomic requirements to maintain life. As the number of complete Mycoplasma genomes increase, these organisms become more established, thus laying the foundation for mapping evolutionary development. This manuscript provides an overview and update on Mycoplasma research, with particular focus on current genomics.

Computational Biology↗

PubMed2006

GPAC: benchmarking the sensitivity of genome informatics analysis to genome annotation completeness.

In view of the recent explosion in genome sequence data, and the 200 or more complete genome sequences currently available, the importance of genome-scale bioinformatics analysis is increasing rapidly. However, computational genome informatics analyses often lack a statistical assessment of their sensitivity to the completeness of the functional annotation. Therefore, a pre-analysis method to automatically validate the sensitivity of computational genome analyses with regard to genome annotation completeness is useful for this purpose. In this report we developed the Gene Prediction Accuracy Classification (GPAC) test, which provides statistical evidence of sensitivity by repeating the same analysis for five different gene groups (classified according to annotation accuracy level), and for randomly sampled gene groups, with the same number of genes as each of the five classified groups. Variability in these results is then assessed, and if the results vary significantly with different data subsets, the analysis is considered "sensitive" to annotation completeness, and careful selection of data is advised prior to the actual in silico analysis. The GPAC test has been applied to the analyses of Sakai et al., 2001, and Ohno et al., 2001, and it revealed that the analysis of Ohno et al. was more sensitive to annotation completeness. It showed that GPAC could be employed to ascertain the sensitivity of an analysis. The GPAC bendhmarking software is freely available in the latest G-language Genome Analysis Environment package, at http://www.g-language.org/.

Benchmarking↗

PubMed2025

Genomic prediction and genome-wide association study for liver abscesses in crossbred beef cattle.

Liver abscesses are a concern in feedlot cattle, and little is known about the role of genetics in their development. This study aimed to estimate genetic parameters and to identify single-nucleotide polymorphisms (SNPs) associated with liver abscesses. Crossbred cattle representing 18 breeds in the U.S. Meat Animal Research Center Germplasm Evaluation Program were phenotyped for liver abscesses at slaughter (n = 9,044). Seventeen percent of cattle had liver abscesses. These cattle had genotypes that were imputed to sequence variant genotypes. After filtering and quality control, 340,723 SNPs were used in the analysis. Liver abscess prevalence was modeled with a single-step genomic best linear unbiased prediction (ssGBLUP) threshold model using a Bayesian framework. The model included contemporary group (sex, treatment group, and slaughter date), additive genomic, and residual effects. Genomic heritability was 0.039 (95% highest posterior density = 0.005, 0.081), which was very small. To assess prediction quality, a 5-fold random cross-validation structure was used. Method Linear Regression was used to assess accuracy, bias, and dispersion by comparing estimated breeding values (EBV) from full and reduced analyses. Cross-validation metrics showed EBV based on genotypes had 0.05 reliability (SD < 0.01) with no bias relative to EBV based on genotypes and phenotypes. For the genome-wide association study, SNP effects were back calculated from the EBV solutions from ssGBLUP. No SNPs were associated with liver abscesses at a Benjamini-Hochberg adjusted 0.05 significance level. Although a large dataset was used, this result was because of the low genomic heritability and imprecise EBV used to calculate SNP effects. Based on these results, environmental factors contribute to most of the variation in liver abscesses. Genetic selection to reduce liver abscesses would be slow because of the low genomic heritability, measurement late in life, and inability to measure breeding animals. A faster approach would be finding additional environmental interventions that maintain animal performance.

Animals↗

PubMed1998

Differential genome analysis of bacteria by genomic subtractive hybridization and pulsed field gel electrophoresis.

A comprehensive analysis of the differences between the genomes of two closely related bacterial strains should give insight into the molecular basis of their individual phenotypic and genotypic characteristics. Here we present an integrative approach including two different strategies for the thorough investigation of genomic divergence. We have combined two techniques including genomic subtractive hybridization and comparative genome mapping by pulsed field gel electrophoresis (PFGE) techniques. The subtractive method for which a protocol is given herein results in the production of a library of specific DNA sequence tags present only in one strain, while the construction of macrorestriction maps of the bacterial chromosomes yields data about the overall genome organization and the arrangement and distance of gene loci. Comparison of the physical and genetic maps and determination of the map positions of the strain-specific DNA sequences reveals gross chromosomal modifications, insertions or deletions of additional genetic material, and transpositional events. The further investigation of the strain-specific regions yields information about the nature and origin of the acquired DNA and their influence on the evolution of the individual bacterial genome. The two methods were applied to differential genome analysis of clonal divergence in Pseudomonas aeruginosa choosing two clone C isolates from diverse habitats.

Chromosomes, Bacterial↗

PubMed1998

The identification and characterization of microsatellites in the compact genome of the Japanese pufferfish, Fugu rubripes: perspectives in functional and comparative genomic analyses.

Fugu rubripes (Fugu) has one of the smallest recorded vertebrate genomes and is an economic tool for comparative DNA sequence analysis. Initial characterization of 128 kb of Fugu DNA attributed the compactness of this genome, in part, to a sparseness of repetitive DNA sequence compared with mammalian genomic sequences. This paper describes a new and comprehensive analysis in which 501 theoretically possible microsatellites with a repeat unit of one to six bases were used to query two orders of magnitude more Fugu DNA (i.e. 11.338 Mb). A total of 6042 microsatellites were identified and categorized. In decreasing order, the 20 most frequently occurring microsatellites are AC, A, C, AGG, AG, AGC, AAT, AAAT, ACAG, ACGC, ATCC, AAC, ATC, AGGG, AAAG, AAG, AAAC, AT, CCG and TTAGGG. The 20 most frequently occurring microsatellites represent 81.79% of all microsatellites identified. Our results indicate that one microsatellite occurs every 1.876 kb of DNA in Fugu, 11.55% of the microsatellites are detected in open reading frames that are predicted protein coding regions. With respect to the proportion of microsatellites present in open reading frames and the total abundance (bp) of all microsatellites, the genome of Fugu is similar to the genome of many other vertebrate species. Previous estimates performed indicate that approximately 1% of many vertebrate genomes are comprized of microsatellite sequences. However, many differences prevail in the abundance and frequency of the individual microsatellite classes. Many of the frequently occurring microsatellites in Fugu are known to code in other species for regions in proteins such as transcription factors, whilst others are associated with known functions, such as transcription factor binding sites and form part of promoter regions in DNA sequences of genes. Therefore, it is likely that such repeats in genomes have a role in the evolution of genes, regulation of gene expression and consequently the evolution of species.

Animals↗