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Dawes ML, Soeller C, Scholpp S. Studying molecular interactions in the intact organism: fluorescence correlation spectroscopy in the living zebrafish embryo. Histochem Cell Biol 2020; 154:507-519. [PMID: 33067656 PMCID: PMC7609432 DOI: 10.1007/s00418-020-01930-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/01/2020] [Indexed: 02/07/2023]
Abstract
Cell behaviour and function is determined through the interactions of a multitude of molecules working in concert. To observe these molecular dynamics, biophysical studies have been developed that track single interactions. Fluorescence correlation spectroscopy (FCS) is an optical biophysical technique that non-invasively resolves single molecules through recording the signal intensity at the femtolitre scale. However, recording the behaviour of these biomolecules using in vitro-based assays often fails to recapitulate the full range of variables in vivo that directly confer dynamics. Therefore, there has been an increasing interest in observing the state of these biomolecules within living organisms such as the zebrafish Danio rerio. In this review, we explore the advancements of FCS within the zebrafish and compare and contrast these findings to those found in vitro.
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Affiliation(s)
- Michael L Dawes
- Living Systems Institute, School of Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QD, UK
| | - Christian Soeller
- Living Systems Institute, College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QD, UK
| | - Steffen Scholpp
- Living Systems Institute, School of Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QD, UK.
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2
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Hanyang L, Xuanzhe L, Xuyang C, Yujia Q, Jiarong F, Jun S, Zhihua R. Application of Zebrafish Models in Inflammatory Bowel Disease. Front Immunol 2017; 8:501. [PMID: 28515725 PMCID: PMC5413514 DOI: 10.3389/fimmu.2017.00501] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 04/11/2017] [Indexed: 12/12/2022] Open
Abstract
Inflammatory bowel disease (IBD) is a chronic, recurrent, and remitting inflammatory disease with unclear etiology. As a clinically frequent disease, it can affect individuals throughout their lives, with multiple complications. Unfortunately, traditional murine models are not efficient for the further study of IBD. Thus, effective and convenient animal models are needed. Zebrafish have been used as model organisms to investigate IBD because of their suggested highly genetic similarity to humans and their superiority as laboratory models. The zebrafish model has been used to study the composition of intestinal microbiota, novel genes, and therapeutic approaches. The pathogenesis of IBD is still unclear and many risk factors remain unidentified. In this review, we compare traditional murine models and zebrafish models in terms of advantages, pathogenesis, and drug discovery screening for IBD. We also review the progress and deficiencies of the zebrafish model for scientific applications.
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Affiliation(s)
- Li Hanyang
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Shanghai, China.,Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Shanghai, China
| | - Liu Xuanzhe
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Shanghai, China.,Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Shanghai, China
| | - Chen Xuyang
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Shanghai, China.,Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Shanghai, China
| | - Qiu Yujia
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Shanghai, China.,Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Shanghai, China
| | - Fu Jiarong
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Shanghai, China.,Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Shanghai, China
| | - Shen Jun
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Shanghai, China.,Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Shanghai, China
| | - Ran Zhihua
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Shanghai, China.,Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Shanghai, China
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3
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Chan CX, Mahbob M, Ragan MA. Clustering evolving proteins into homologous families. BMC Bioinformatics 2013; 14:120. [PMID: 23566217 PMCID: PMC3637521 DOI: 10.1186/1471-2105-14-120] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2012] [Accepted: 03/27/2013] [Indexed: 11/20/2022] Open
Abstract
Background Clustering sequences into groups of putative homologs (families) is a critical first step in many areas of comparative biology and bioinformatics. The performance of clustering approaches in delineating biologically meaningful families depends strongly on characteristics of the data, including content bias and degree of divergence. New, highly scalable methods have recently been introduced to cluster the very large datasets being generated by next-generation sequencing technologies. However, there has been little systematic investigation of how characteristics of the data impact the performance of these approaches. Results Using clusters from a manually curated dataset as reference, we examined the performance of a widely used graph-based Markov clustering algorithm (MCL) and a greedy heuristic approach (UCLUST) in delineating protein families coded by three sets of bacterial genomes of different G+C content. Both MCL and UCLUST generated clusters that are comparable to the reference sets at specific parameter settings, although UCLUST tends to under-cluster compositionally biased sequences (G+C content 33% and 66%). Using simulated data, we sought to assess the individual effects of sequence divergence, rate heterogeneity, and underlying G+C content. Performance decreased with increasing sequence divergence, decreasing among-site rate variation, and increasing G+C bias. Two MCL-based methods recovered the simulated families more accurately than did UCLUST. MCL using local alignment distances is more robust across the investigated range of sequence features than are greedy heuristics using distances based on global alignment. Conclusions Our results demonstrate that sequence divergence, rate heterogeneity and content bias can individually and in combination affect the accuracy with which MCL and UCLUST can recover homologous protein families. For application to data that are more divergent, and exhibit higher among-site rate variation and/or content bias, MCL may often be the better choice, especially if computational resources are not limiting.
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Affiliation(s)
- Cheong Xin Chan
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
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4
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Ding F, Manosas M, Spiering MM, Benkovic SJ, Bensimon D, Allemand JF, Croquette V. Single-molecule mechanical identification and sequencing. Nat Methods 2012; 9:367-72. [PMID: 22406857 DOI: 10.1038/nmeth.1925] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2011] [Accepted: 01/17/2012] [Indexed: 02/08/2023]
Abstract
High-throughput, low-cost DNA sequencing has emerged as one of the challenges of the postgenomic era. Here we present the proof of concept for a single-molecule platform that allows DNA identification and sequencing. In contrast to most present methods, our scheme is not based on the detection of the fluorescent nucleotides but on DNA hairpin length. By pulling on magnetic beads tethered by a DNA hairpin to the surface, the molecule can be unzipped. In this open state it can hybridize with complementary oligonucleotides, which transiently block the hairpin rezipping when the pulling force is reduced. By measuring from the surface to the bead of a blocked hairpin, one can determine the position of the hybrid along the molecule with nearly single-base precision. Our approach can be used to identify a DNA fragment of known sequence in a mix of various fragments and to sequence an unknown DNA fragment by hybridization or ligation.
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Affiliation(s)
- Fangyuan Ding
- Laboratoire de Physique Statistique, Ecole Normale Supérieure, Université Pierre et Marie Curie Université Paris 06, Université Paris Diderot, Centre National de la Recherche Scientifique, Paris, France
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5
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An ovary transcriptome for all maturational stages of the striped bass (Morone saxatilis), a highly advanced perciform fish. BMC Res Notes 2012; 5:111. [PMID: 22353237 PMCID: PMC3305648 DOI: 10.1186/1756-0500-5-111] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2011] [Accepted: 02/21/2012] [Indexed: 12/30/2022] Open
Abstract
Background The striped bass and its relatives (genus Morone) are important fisheries and aquaculture species native to estuaries and rivers of the Atlantic coast and Gulf of Mexico in North America. To open avenues of gene expression research on reproduction and breeding of striped bass, we generated a collection of expressed sequence tags (ESTs) from a complementary DNA (cDNA) library representative of their ovarian transcriptome. Results Sequences of a total of 230,151 ESTs (51,259,448 bp) were acquired by Roche 454 pyrosequencing of cDNA pooled from ovarian tissues obtained at all stages of oocyte growth, at ovulation (eggs), and during preovulatory atresia. Quality filtering of ESTs allowed assembly of 11,208 high-quality contigs ≥ 100 bp, including 2,984 contigs 500 bp or longer (average length 895 bp). Blastx comparisons revealed 5,482 gene orthologues (E-value < 10-3), of which 4,120 (36.7% of total contigs) were annotated with Gene Ontology terms (E-value < 10-6). There were 5,726 remaining unknown unique sequences (51.1% of total contigs). All of the high-quality EST sequences are available in the National Center for Biotechnology Information (NCBI) Short Read Archive (GenBank: SRX007394). Informative contigs were considered to be abundant if they were assembled from groups of ESTs comprising ≥ 0.15% of the total short read sequences (≥ 345 reads/contig). Approximately 52.5% of these abundant contigs were predicted to have predominant ovary expression through digital differential display in silico comparisons to zebrafish (Danio rerio) UniGene orthologues. Over 1,300 Gene Ontology terms from Biological Process classes of Reproduction, Reproductive process, and Developmental process were assigned to this collection of annotated contigs. Conclusions This first large reference sequence database available for the ecologically and economically important temperate basses (genus Morone) provides a foundation for gene expression studies in these species. The predicted predominance of ovary gene expression and assignment of directly relevant Gene Ontology classes suggests a powerful utility of this dataset for analysis of ovarian gene expression related to fundamental questions of oogenesis. Additionally, a high definition Agilent 60-mer oligo ovary 'UniClone' microarray with 8 × 15,000 probe format has been designed based on this striped bass transcriptome (eArray Group: Striper Group, Design ID: 029004).
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Whiteley AR, Bhat A, Martins EP, Mayden RL, Arunachalam M, Uusi-Heikkilä S, Ahmed ATA, Shrestha J, Clark M, Stemple D, Bernatchez L. Population genomics of wild and laboratory zebrafish (Danio rerio). Mol Ecol 2011; 20:4259-76. [PMID: 21923777 PMCID: PMC3627301 DOI: 10.1111/j.1365-294x.2011.05272.x] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Understanding a wider range of genotype–phenotype associations can be achieved through ecological and evolutionary studies of traditional laboratory models. Here, we conducted the first large-scale geographic analysis of genetic variation within and among wild zebrafish (Danio rerio) populations occurring in Nepal, India, and Bangladesh, and we genetically compared wild populations to several commonly used lab strains. We examined genetic variation at 1832 polymorphic EST-based single nucleotide polymorphisms (SNPs) and the cytb mitochondrial gene in 13 wild populations and three lab strains. Natural populations were subdivided into three major mitochondrial DNA clades with an average among-clade sequence divergence of 5.8%. SNPs revealed five major evolutionarily and genetically distinct groups with an overall FST of 0.170 (95% CI 0.105–0.254). These genetic groups corresponded to discrete geographic regions and appear to reflect isolation in refugia during past climate cycles. We detected 71 significantly divergent outlier loci (3.4%) and nine loci (0.5%) with significantly low FST values. Valleys of reduced heterozygosity, consistent with selective sweeps, surrounded six of the 71 outliers (8.5%). The lab strains formed two additional groups that were genetically distinct from all wild populations. An additional subset of outlier loci was consistent with domestication selection within lab strains. Substantial genetic variation that exists in zebrafish as a whole is missing from lab strains that we analysed. A combination of laboratory and field studies that incorporates genetic variation from divergent wild populations along with the wealth of molecular information available for this model organism provides an opportunity to advance our understanding of genetic influences on phenotypic variation for a vertebrate species.
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Affiliation(s)
- Andrew R Whiteley
- Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003, USA.
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Li Y, Chia JM, Bartfai R, Christoffels A, Yue GH, Ding K, Ho MY, Hill JA, Stupka E, Orban L. Comparative analysis of the testis and ovary transcriptomes in zebrafish by combining experimental and computational tools. Comp Funct Genomics 2010; 5:403-18. [PMID: 18629171 PMCID: PMC2447462 DOI: 10.1002/cfg.418] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2004] [Revised: 06/25/2004] [Accepted: 06/28/2004] [Indexed: 11/12/2022] Open
Abstract
Studies on the zebrafish model have contributed to our understanding of several important developmental processes, especially those that can be easily studied in the embryo. However, our knowledge on late events such as gonad differentiation in the zebrafish is still limited. Here we provide an analysis on the gene sets expressed in the adult zebrafish testis and ovary in an attempt to identify genes with potential role in (zebra)fish gonad development and function. We produced 10,533 expressed sequence tags (ESTs) from zebrafish testis or ovary and downloaded an additional 23,642 gonad-derived sequences from the zebrafish EST database. We clustered these sequences together with over 13,000 kidney-derived zebrafish ESTs to study partial transcriptomes for these three organs. We searched for genes with gonad-specific expression by screening macroarrays containing at least 2600 unique cDNA inserts with testis-, ovary- and kidney-derived cDNA probes. Clones hybridizing to only one of the two gonad probes were selected, and subsequently screened with computational tools to identify 72 genes with potentially testis-specific and 97 genes with potentially ovary-specific expression, respectively. PCR-amplification confirmed gonad-specificity for 21 of the 45 clones tested (all without known function). Our study, which involves over 47,000 EST sequences and specialized cDNA arrays, is the first analysis of adult organ transcriptomes of zebrafish at such a scale. The study of genes expressed in adult zebrafish testis and ovary will provide useful information on regulation of gene expression in teleost gonads and might also contribute to our understanding of the development and differentiation of reproductive organs in vertebrates.
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Affiliation(s)
- Yang Li
- Reproductive Genomics Group, Temasek Lifesciences Laboratory, Singapore
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8
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Yano A, von Schalburg K, Cooper G, Koop BF, Yoshizaki G. Identification of a molecular marker for type A spermatogonia by microarray analysis using gonadal cells from pvasa-GFP transgenic rainbow trout (Oncorhynchus mykiss). Mol Reprod Dev 2009; 76:246-54. [PMID: 18646050 DOI: 10.1002/mrd.20947] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
The spermatogonia of fish can be classified as being either undifferentiated type A spermatogonia or differentiated type B spermatogonia. Although type A spermatogonia, which contain spermatogonial stem cells, have been demonstrated to be a suitable material for germ cell transplantation, no molecular markers for distinguishing between type A and type B spermatogonia in fish have been developed to date. We therefore sought to develop a molecular marker for type A spermatogonia in rainbow trout. Using GFP-dependent flow cytometry (FCM), enriched fractions of type A and type B spermatogonia, testicular somatic cells, and primordial germ cells were prepared from rainbow trout possessing the green fluorescent protein (GFP) gene driven by trout vasa regulatory regions (pvasa-GFP rainbow trout). The gene-expression profiles of each cell fraction were then compared with a microarray containing cDNAs representing 16,006 genes from several salmonid species. Genes exhibiting high expression for type A spermatogonia relative to above-mentioned other types of gonadal cells were identified and subjected to RT-PCR and quatitative PCR analysis. Since only the rainbow trout notch1 homologue showed significantly high expression in the type A spermatogonia-enriched fraction, we propose that notch1 may be a useful molecular marker for type A spermatogonia. The combination of GFP-dependent FCM and microarray analysis of pvasa-GFP rainbow trout can therefore be applied to the identification of potentially useful molecular markers of germ cells in fish.
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Affiliation(s)
- Ayaka Yano
- Department of Marine Biosciences, Tokyo University of Marine Science and Technology, 4-5-7 Konan, Minato-ku, Tokyo 108-8477, Japan
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9
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Cerdà J, Bobe J, Babin PJ, Admon A, Lubzens E. Functional Genomics and Proteomic Approaches for the Study of Gamete Formation and Viability in Farmed Finfish. ACTA ACUST UNITED AC 2008. [DOI: 10.1080/10641260802324685] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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10
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Kazakou K, Holloway DE, Prior SH, Subramanian V, Acharya KR. Ribonuclease A homologues of the zebrafish: polymorphism, crystal structures of two representatives and their evolutionary implications. J Mol Biol 2008; 380:206-22. [PMID: 18508078 PMCID: PMC2582337 DOI: 10.1016/j.jmb.2008.04.070] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2008] [Revised: 04/24/2008] [Accepted: 04/27/2008] [Indexed: 12/21/2022]
Abstract
The widespread and functionally varied members of the ribonuclease A (RNase A) superfamily provide an excellent opportunity to study evolutionary forces at work on a conserved protein scaffold. Representatives from the zebrafish are of particular interest as the evolutionary distance from non-ichthyic homologues is large. We conducted an exhaustive survey of available zebrafish DNA sequences and found significant polymorphism among its four known homologues. In an extension of previous nomenclature, the variants have been named RNases ZF-1a–c,-2a–d,-3a–e and-4. We present the first X-ray crystal structures of zebrafish ribonucleases, RNases ZF-1a and-3e at 1.35-and 1.85 Å resolution, respectively. Structure-based clustering with ten other ribonuclease structures indicates greatest similarity to mammalian angiogenins and amphibian ribonucleases, and supports the view that all present-day ribonucleases evolved from a progenitor with three disulphide bonds. In their details, the two structures are intriguing melting-pots of features present in ribonucleases from other vertebrate classes. Whereas in RNase ZF-1a the active site is obstructed by the C-terminal segment (as observed in angiogenin), in RNase ZF-3e the same region is open (as observed in more catalytically efficient homologues). The progenitor of present-day ribonucleases is more likely to have had an obstructive C terminus, and the relatively high similarity (late divergence) of RNases ZF-1 and-3 infers that the active site unblocking event has happened independently in different vertebrate lineages.
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Henken DB, Rasooly RS, Javois L, Hewitt AT. The National Institutes of Health and the growth of the zebrafish as an experimental model organism. Zebrafish 2008; 1:105-10. [PMID: 18248222 DOI: 10.1089/zeb.2004.1.105] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The National Institutes of Health (NIH), an agency in the Department of Health and Human Services (DHHS), is a strong advocate of zebrafish and other animal model systems for biomedical and behavior research. In part because of strong funding support from NIH, zebrafish research is now providing fundamental insights into physiology, behavior, and the mechanisms of human disease. Over the past few years, the NIH has established a research infrastructure for the zebrafish community that includes genomic resources and tools for genetic analysis in this system. In addition, the NIH supports community resources such as the Zebrafish International Resource Center (ZIRC) and the Zebrafish Information Network (ZFIN). With the importance of zebrafish research now well-established, NIH will continue to fund a broad array of investigator-initiated studies that focus on issues critical to human health using this model system.
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Affiliation(s)
- Deborah B Henken
- Developmental Biology, Genetics and Teratology Branch, National Institute of Child Health and Human Development/NIH, Executive Building, Room 4B01, 9000 Rockville Pike, MSC 7510, Bethesda, MD 20892-7510, USA.
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12
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Pbx homeodomain proteins pattern both the zebrafish retina and tectum. BMC DEVELOPMENTAL BIOLOGY 2007; 7:85. [PMID: 17634100 PMCID: PMC1934912 DOI: 10.1186/1471-213x-7-85] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2007] [Accepted: 07/16/2007] [Indexed: 12/11/2022]
Abstract
BACKGROUND Pbx genes encode TALE class homeodomain transcription factors that pattern the developing neural tube, pancreas, and blood. Within the hindbrain, Pbx cooperates with Hox proteins to regulate rhombomere segment identity. Pbx cooperates with Eng to regulate midbrain-hindbrain boundary maintenance, and with MyoD to control fast muscle cell differentiation. Although previous results have demonstrated that Pbx is required for proper eye size, functions in regulating retinal cell identity and patterning have not yet been examined. RESULTS Analysis of retinal ganglion cell axon pathfinding and outgrowth in pbx2/4 null embryos demonstrated a key role for pbx genes in regulating neural cell behavior. To identify Pbx-dependent genes involved in regulating retino-tectal pathfinding, we conducted a microarray screen for Pbx-dependent transcripts in zebrafish, and detected genes that are specifically expressed in the eye and tectum. A subset of Pbx-dependent retinal transcripts delineate specific domains in the dorso-temporal lobe of the developing retina. Furthermore, we determined that some Pbx-dependent transcripts also require Meis1 and Gdf6a function. Since gdf6a expression is also dependent on Pbx, we propose a model in which Pbx proteins regulate expression of the growth factor gdf6a, which in turn regulates patterning of the dorso-temporal lobe of the retina. This, in concert with aberrant tectal patterning in pbx2/4 null embryos, may lead to the observed defects in RGC outgrowth. CONCLUSION These data define a novel role for Pbx in patterning the vertebrate retina and tectum in a manner required for proper retinal ganglion cell axon outgrowth.
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13
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Bennett JT, Joubin K, Cheng S, Aanstad P, Herwig R, Clark M, Lehrach H, Schier AF. Nodal signaling activates differentiation genes during zebrafish gastrulation. Dev Biol 2007; 304:525-40. [PMID: 17306247 PMCID: PMC1885460 DOI: 10.1016/j.ydbio.2007.01.012] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2006] [Revised: 12/17/2006] [Accepted: 01/04/2007] [Indexed: 01/10/2023]
Abstract
Nodal signals induce mesodermal and endodermal progenitors during vertebrate development. To determine the role of Nodal signaling at a genomic level, we isolated Nodal-regulated genes by expression profiling using macroarrays and gene expression databases. Putative Nodal-regulated genes were validated by in situ hybridization screening in wild type and Nodal signaling mutants. 46 genes were identified, raising the currently known number of Nodal-regulated genes to 72. Based on their expression patterns along the dorsoventral axis, most of these genes can be classified into two groups. One group is expressed in the dorsal margin, whereas the other group is expressed throughout the margin. In addition to transcription factors and signaling components, the screens identified several new functional classes of Nodal-regulated genes, including cytoskeletal components and molecules involved in protein secretion or endoplasmic reticulum stress. We found that x-box binding protein-1 (xbp1) is a direct target of Nodal signaling and required for the terminal differentiation of the hatching gland, a specialized secretory organ whose specification is also dependent on Nodal signaling. These results indicate that Nodal signaling regulates not only specification genes but also differentiation genes.
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Affiliation(s)
- James T. Bennett
- Developmental Genetics Program, Skirball Institute of Biomolecular Medicine, and Department of Cell Biology, New York, NY 10016, USA
| | - Katherine Joubin
- Developmental Genetics Program, Skirball Institute of Biomolecular Medicine, and Department of Cell Biology, New York, NY 10016, USA
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Simon Cheng
- Developmental Genetics Program, Skirball Institute of Biomolecular Medicine, and Department of Cell Biology, New York, NY 10016, USA
- Department of Radiation Oncology New York University School of Medicine, New York, NY 10016, USA
| | - Pia Aanstad
- Max-Planck-Institut für Molekulare Genetik, Berlin, Germany
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94143, USA
| | - Ralf Herwig
- Max-Planck-Institut für Molekulare Genetik, Berlin, Germany
| | - Matthew Clark
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
- Max-Planck-Institut für Molekulare Genetik, Berlin, Germany
| | - Hans Lehrach
- Max-Planck-Institut für Molekulare Genetik, Berlin, Germany
| | - Alexander F. Schier
- Developmental Genetics Program, Skirball Institute of Biomolecular Medicine, and Department of Cell Biology, New York, NY 10016, USA
- Department of Molecular and Cellular Biology, Harvard Stem Cell Institute, Center for Brain Science, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
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14
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Schonthaler HB, Lampert JM, von Lintig J, Schwarz H, Geisler R, Neuhauss SCF. A mutation in the silver gene leads to defects in melanosome biogenesis and alterations in the visual system in the zebrafish mutant fading vision. Dev Biol 2005; 284:421-36. [PMID: 16024012 DOI: 10.1016/j.ydbio.2005.06.001] [Citation(s) in RCA: 76] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2004] [Revised: 06/01/2005] [Accepted: 06/01/2005] [Indexed: 10/25/2022]
Abstract
Forward genetic screens have been instrumental in defining molecular components of visual function. The zebrafish mutant fading vision (fdv) has been identified in such a screen due to defects in vision accompanied by hypopigmentation in the retinal pigment epithelium (RPE) and body melanocytes. The RPE forms the outer most layer of the retina, and its function is essential for vision. In fdv mutant larvae, the outer segments of photoreceptors are strongly reduced in length or absent due to defects in RPE cells. Ultrastructural analysis of RPE cells reveals dramatic cellular changes such as an absence of microvilli and vesicular inclusions. The retinoid profile is altered as judged by biochemical analysis, arguing for a partial block in visual pigment regeneration. Surprisingly, homozygous fdv vision mutants survive to adulthood and show, despite a persistence of the hypopigmentation, a partial recovery of retinal morphology. By positional cloning and subsequent morpholino knock-down, we identified a mutation in the silver gene as the molecular defect underlying the fdv phenotype. The Silver protein is required for intralumenal fibril formation in melanosomes by amylogenic cleavage. Our data reveal an unexpected link between melanosome biogenesis and the visual system, undetectable in cell culture.
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MESH Headings
- Amino Acid Sequence
- Animals
- Base Sequence
- Chromosomes
- Embryo, Nonmammalian
- Gene Expression Regulation, Developmental
- Genetic Linkage
- Genetic Markers
- Genome
- Homozygote
- Melanocytes/ultrastructure
- Melanosomes/physiology
- Melanosomes/ultrastructure
- Molecular Sequence Data
- Photoreceptor Cells, Vertebrate/ultrastructure
- Pigment Epithelium of Eye/ultrastructure
- Point Mutation
- Polymorphism, Genetic
- Protein Sorting Signals
- Protein Structure, Tertiary
- Radiation Hybrid Mapping
- Sequence Analysis, DNA
- Sequence Analysis, Protein
- Sequence Homology, Amino Acid
- Vision, Ocular/genetics
- Vision, Ocular/physiology
- Zebrafish/embryology
- Zebrafish/genetics
- Zebrafish/physiology
- Zebrafish Proteins/chemistry
- Zebrafish Proteins/genetics
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Affiliation(s)
- Helia B Schonthaler
- Swiss Federal Institute of Technology, Department of Biology, and Brain Research Institute of the University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
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15
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Germain H, Rudd S, Zotti C, Caron S, O'Brien M, Chantha SC, Lagacé M, Major F, Matton DP. A 6374 unigene set corresponding to low abundance transcripts expressed following fertilization in Solanum chacoense Bitt, and characterization of 30 receptor-like kinases. PLANT MOLECULAR BIOLOGY 2005; 59:515-32. [PMID: 16235114 DOI: 10.1007/s11103-005-0536-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2005] [Accepted: 07/04/2005] [Indexed: 05/04/2023]
Abstract
In order to characterize regulatory genes that are expressed in ovule tissues after fertilization we have undertaken an EST sequencing project in Solanum chacoense, a self-incompatible wild potato species. Two cDNA libraries made from ovule tissues covering embryo development from zygote to late torpedo-stage were constructed and plated at high density on nylon membranes. To decrease EST redundancy and enrich for transcripts corresponding to weakly expressed genes a self-probe subtraction method was used to select the colonies harboring the genes to be sequenced. 7741 good sequences were obtained and, from these, 6374 unigenes were isolated. Thus, the self-probe subtraction resulted in a strong enrichment in singletons, a decrease in the number of clones per contigs, and concomitantly, an enrichment in the total number of unigenes obtained (82%). To gain insights into signal transduction events occurring during embryo development all the receptor-like kinases (or protein receptor kinases) were analyzed by quantitative real-time RT-PCR. Interestingly, 28 out of the 30 RLK isolated were predominantly expressed in ovary tissues or young developing fruits, and 23 were transcriptionaly induced following fertilization. Thus, the self-probe subtraction did not select for genes weakly expressed in the target tissue while being highly expressed elsewhere in the plant. Of the receptor-like kinases (RLK) genes isolated, the leucine-rich repeat (LRR) family of RLK was by far the most represented with 25 members covering 11 LRR classes.
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Affiliation(s)
- Hugo Germain
- Institut de Recherche en Biologie Végétale (IRBV). Département de sciences biologiques, Université de Montréal, 4101 Sherbrooke Est, H1X 2B2, Montréal, QC, Canada
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16
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Parinov S, Kondrichin I, Korzh V, Emelyanov A. Tol2 transposon-mediated enhancer trap to identify developmentally regulated zebrafish genes in vivo. Dev Dyn 2005; 231:449-59. [PMID: 15366023 DOI: 10.1002/dvdy.20157] [Citation(s) in RCA: 273] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
We have used the Tol2 transposable element to design and perform effective enhancer trapping in zebrafish. Modified transposon DNA and transposase RNA were delivered into zebrafish embryos by microinjection to produce heritable insertions in the zebrafish genome. The enhancer trap construct carries the EGFP gene controlled by a partial epithelial promoter from the keratin8 gene. Enhanced green fluorescent protein (EGFP) is used as a marker to select F1 transgenic fish and as a reporter to trap enhancers. We have isolated 28 transgenic lines that were derived from the 37 GFP-positive F0 founders and displayed various specific EGFP expression patterns in addition to basal expression from the modified keratin 8 promoter. Analyses of expression by whole-mount RNA in situ hybridization demonstrated that these patterns could recapitulate the expression of the tagged genes to a variable extent and, therefore, confirmed that our construct worked effectively as an enhancer trap. Transgenic offspring from the 37 F0 EGFP-positive founders have been genetically analyzed up to the F2 generation. Flanking sequences from 65 separate transposon insertion sites were identified by thermal asymmetric interlaced polymerase chain reaction. Injection of the transposase RNA into transgenic embryos induced remobilization of genomic Tol2 copies producing novel insertions including some in the germ line. The approach has great potential for developmental and anatomical studies of teleosts.
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17
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Weidinger G, Thorpe CJ, Wuennenberg-Stapleton K, Ngai J, Moon RT. The Sp1-related transcription factors sp5 and sp5-like act downstream of Wnt/beta-catenin signaling in mesoderm and neuroectoderm patterning. Curr Biol 2005; 15:489-500. [PMID: 15797017 DOI: 10.1016/j.cub.2005.01.041] [Citation(s) in RCA: 162] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2004] [Revised: 01/06/2005] [Accepted: 01/07/2005] [Indexed: 01/17/2023]
Abstract
BACKGROUND Wnt/beta-catenin signaling regulates many processes during vertebrate development, including patterning of the mesoderm along the dorso-ventral axis and patterning of the neuroectoderm along the anterior-posterior axis during gastrulation. However, relatively little is known about Wnt target genes mediating these effects. RESULTS Using zebrafish DNA microarrays, we have identified several new targets of Wnt/beta-catenin signaling, including sp5-like (sp5l, previously called spr2), a zinc-finger transcription factor of the Sp1 family. sp5-like is a direct target of Wnt/beta-catenin signaling and acts together with its paralog sp5 (previously called bts1) downstream of wnt8 in patterning of the mesoderm and neuroectoderm because (1) overexpression of sp5-like, like overexpression of wnt8, posteriorizes the neuroectoderm, (2) sp5-like morpholino-mediated knockdown, like wnt8 knockdown, causes anteriorization of the hindbrain, (3) combined knockdown of sp5 and sp5-like, like loss of wnt8, causes expansion of dorsal mesoderm, (4) sp5-like knockdown reduces the defects in mesoderm and neuroectoderm patterning caused by wnt8 overexpression, and (5) inhibition of sp5-like enhances the effects of hypomorphic loss of wnt8. Importantly, (6) overexpression of sp5-like is able to partially restore normal hindbrain patterning in wnt8 morphants. CONCLUSIONS sp5-like is a direct target of Wnt/beta-catenin signaling during gastrulation and, together with sp5, acts as a required mediator of the activities of wnt8 in patterning the mesoderm and neuroectoderm. We conclude that sp5 transcription factors mediate the downstream responses to Wnt/beta-catenin signaling in several developmental processes in zebrafish.
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Affiliation(s)
- Gilbert Weidinger
- Howard Hughes Medical Institute, Department of Pharmacology and Center for Developmental Biology, University of Washington School of Medicine, Box 357370, Seattle, Washington 98195, USA
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18
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Zhang ZX, Zhang FD, Tang WH, Pi YJ, Zheng YL. Construction and characterization of normalized cDNA library of maize inbred MO17 from multiple tissues and developmental stages. Mol Biol 2005. [DOI: 10.1007/s11008-005-0026-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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19
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Peng JH, Zadeh H, Lazo GR, Gustafson JP, Chao S, Anderson OD, Qi LL, Echalier B, Gill BS, Dilbirligi M, Sandhu D, Gill KS, Greene RA, Sorrells ME, Akhunov ED, Dvorák J, Linkiewicz AM, Dubcovsky J, Hossain KG, Kalavacharla V, Kianian SF, Mahmoud AA, Miftahudin, Conley EJ, Anderson JA, Pathan MS, Nguyen HT, McGuire PE, Qualset CO, Lapitan NLV. Chromosome bin map of expressed sequence tags in homoeologous group 1 of hexaploid wheat and homoeology with rice and Arabidopsis. Genetics 2004; 168:609-23. [PMID: 15514039 PMCID: PMC1448821 DOI: 10.1534/genetics.104.034793] [Citation(s) in RCA: 73] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2003] [Accepted: 06/01/2004] [Indexed: 11/18/2022] Open
Abstract
A total of 944 expressed sequence tags (ESTs) generated 2212 EST loci mapped to homoeologous group 1 chromosomes in hexaploid wheat (Triticum aestivum L.). EST deletion maps and the consensus map of group 1 chromosomes were constructed to show EST distribution. EST loci were unevenly distributed among chromosomes 1A, 1B, and 1D with 660, 826, and 726, respectively. The number of EST loci was greater on the long arms than on the short arms for all three chromosomes. The distribution of ESTs along chromosome arms was nonrandom with EST clusters occurring in the distal regions of short arms and middle regions of long arms. Duplications of group 1 ESTs in other homoeologous groups occurred at a rate of 35.5%. Seventy-five percent of wheat chromosome 1 ESTs had significant matches with rice sequences (E < or = e(-10)), where large regions of conservation occurred between wheat consensus chromosome 1 and rice chromosome 5 and between the proximal portion of the long arm of wheat consensus chromosome 1 and rice chromosome 10. Only 9.5% of group 1 ESTs showed significant matches to Arabidopsis genome sequences. The results presented are useful for gene mapping and evolutionary and comparative genomics of grasses.
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Affiliation(s)
- J H Peng
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado 80523-1170, USA
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20
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Imanishi T, Itoh T, Suzuki Y, O'Donovan C, Fukuchi S, Koyanagi KO, Barrero RA, Tamura T, Yamaguchi-Kabata Y, Tanino M, Yura K, Miyazaki S, Ikeo K, Homma K, Kasprzyk A, Nishikawa T, Hirakawa M, Thierry-Mieg J, Thierry-Mieg D, Ashurst J, Jia L, Nakao M, Thomas MA, Mulder N, Karavidopoulou Y, Jin L, Kim S, Yasuda T, Lenhard B, Eveno E, Suzuki Y, Yamasaki C, Takeda JI, Gough C, Hilton P, Fujii Y, Sakai H, Tanaka S, Amid C, Bellgard M, Bonaldo MDF, Bono H, Bromberg SK, Brookes AJ, Bruford E, Carninci P, Chelala C, Couillault C, de Souza SJ, Debily MA, Devignes MD, Dubchak I, Endo T, Estreicher A, Eyras E, Fukami-Kobayashi K, R. Gopinath G, Graudens E, Hahn Y, Han M, Han ZG, Hanada K, Hanaoka H, Harada E, Hashimoto K, Hinz U, Hirai M, Hishiki T, Hopkinson I, Imbeaud S, Inoko H, Kanapin A, Kaneko Y, Kasukawa T, Kelso J, Kersey P, Kikuno R, Kimura K, Korn B, Kuryshev V, Makalowska I, Makino T, Mano S, Mariage-Samson R, Mashima J, Matsuda H, Mewes HW, Minoshima S, Nagai K, Nagasaki H, Nagata N, Nigam R, Ogasawara O, Ohara O, Ohtsubo M, Okada N, Okido T, Oota S, Ota M, Ota T, Otsuki T, Piatier-Tonneau D, Poustka A, Ren SX, Saitou N, Sakai K, Sakamoto S, Sakate R, Schupp I, Servant F, Sherry S, Shiba R, Shimizu N, Shimoyama M, Simpson AJ, Soares B, Steward C, Suwa M, Suzuki M, Takahashi A, Tamiya G, Tanaka H, Taylor T, Terwilliger JD, Unneberg P, Veeramachaneni V, Watanabe S, Wilming L, Yasuda N, Yoo HS, Stodolsky M, Makalowski W, Go M, Nakai K, Takagi T, Kanehisa M, Sakaki Y, Quackenbush J, Okazaki Y, Hayashizaki Y, Hide W, Chakraborty R, Nishikawa K, Sugawara H, Tateno Y, Chen Z, Oishi M, Tonellato P, Apweiler R, Okubo K, Wagner L, Wiemann S, Strausberg RL, Isogai T, Auffray C, Nomura N, Gojobori T, Sugano S. Integrative annotation of 21,037 human genes validated by full-length cDNA clones. PLoS Biol 2004; 2:e162. [PMID: 15103394 PMCID: PMC393292 DOI: 10.1371/journal.pbio.0020162] [Citation(s) in RCA: 267] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2003] [Accepted: 04/01/2004] [Indexed: 01/08/2023] Open
Abstract
The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology.
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Affiliation(s)
- Tadashi Imanishi
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Takeshi Itoh
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 2Bioinformatics Laboratory, Genome Research Department, National Institute of Agrobiological SciencesIbarakiJapan
| | - Yutaka Suzuki
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
- 68Department of Medical Genome Sciences, Graduate School of Frontier Sciences, University of TokyoTokyoJapan
| | - Claire O'Donovan
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Satoshi Fukuchi
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | | | - Roberto A Barrero
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Takuro Tamura
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 8BITS CompanyShizuokaJapan
| | - Yumi Yamaguchi-Kabata
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Motohiko Tanino
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Kei Yura
- 9Quantum Bioinformatics Group, Center for Promotion of Computational Science and Engineering, Japan Atomic Energy Research InstituteKyotoJapan
| | - Satoru Miyazaki
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Kazuho Ikeo
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Keiichi Homma
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Arek Kasprzyk
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Tetsuo Nishikawa
- 10Reverse Proteomics Research InstituteChibaJapan
- 11Central Research Laboratory, HitachiTokyoJapan
| | - Mika Hirakawa
- 12Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityKyotoJapan
| | - Jean Thierry-Mieg
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
- 14Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique MathematiqueMontpellierFrance
| | - Danielle Thierry-Mieg
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
- 14Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique MathematiqueMontpellierFrance
| | - Jennifer Ashurst
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Libin Jia
- 16National Cancer Institute, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Mitsuteru Nakao
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Michael A Thomas
- 17Department of Biological Sciences, Idaho State UniversityPocatello, IdahoUnited States of America
| | - Nicola Mulder
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Youla Karavidopoulou
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Lihua Jin
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Sangsoo Kim
- 18Korea Research Institute of Bioscience and BiotechnologyTaejeonKorea
| | | | - Boris Lenhard
- 19Center for Genomics and Bioinformatics, Karolinska InstitutetStockholmSweden
| | - Eric Eveno
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Yoshiyuki Suzuki
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Chisato Yamasaki
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Jun-ichi Takeda
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Craig Gough
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Phillip Hilton
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Yasuyuki Fujii
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Hiroaki Sakai
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 22Tokyo Research Laboratories, Kyowa Hakko Kogyo CompanyTokyoJapan
| | - Susumu Tanaka
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Clara Amid
- 23MIPS—Institute for Bioinformatics, GSF—National Research Center for Environment and HealthNeuherbergGermany
| | - Matthew Bellgard
- 24Centre for Bioinformatics and Biological Computing, School of Information Technology, Murdoch UniversityMurdoch, Western AustraliaAustralia
| | - Maria de Fatima Bonaldo
- 25Medical Education and Biomedical Research Facility, University of IowaIowa City, IowaUnited States of America
| | - Hidemasa Bono
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Susan K Bromberg
- 27Medical College of Wisconsin, MilwaukeeWisconsinUnited States of America
| | - Anthony J Brookes
- 19Center for Genomics and Bioinformatics, Karolinska InstitutetStockholmSweden
| | - Elspeth Bruford
- 28HUGO Gene Nomenclature Committee, University College LondonLondonUnited Kingdom
| | | | - Claude Chelala
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
| | - Christine Couillault
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | | | - Marie-Anne Debily
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
| | | | - Inna Dubchak
- 32Lawrence Berkeley National Laboratory, BerkeleyCaliforniaUnited States of America
| | - Toshinori Endo
- 33Department of Bioinformatics, Medical Research Institute, Tokyo Medical and Dental UniversityTokyoJapan
| | | | - Eduardo Eyras
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Kaoru Fukami-Kobayashi
- 35Bioresource Information Division, RIKEN BioResource Center, RIKEN Tsukuba InstituteIbarakiJapan
| | - Gopal R. Gopinath
- 36Genome Knowledgebase, Cold Spring Harbor LaboratoryCold Spring Harbor, New YorkUnited States of America
| | - Esther Graudens
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Yoonsoo Hahn
- 18Korea Research Institute of Bioscience and BiotechnologyTaejeonKorea
| | - Michael Han
- 23MIPS—Institute for Bioinformatics, GSF—National Research Center for Environment and HealthNeuherbergGermany
| | - Ze-Guang Han
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
- 37Chinese National Human Genome Center at ShanghaiShanghaiChina
| | - Kousuke Hanada
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Hideki Hanaoka
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Erimi Harada
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Katsuyuki Hashimoto
- 38Division of Genetic Resources, National Institute of Infectious DiseasesTokyoJapan
| | - Ursula Hinz
- 34Swiss Institute of BioinformaticsGenevaSwitzerland
| | - Momoki Hirai
- 39Graduate School of Frontier Sciences, Department of Integrated Biosciences, University of TokyoChibaJapan
| | - Teruyoshi Hishiki
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Ian Hopkinson
- 41Department of Primary Care and Population Sciences, Royal Free University College Medical School, University College LondonLondonUnited Kingdom
- 42Clinical and Molecular Genetics Unit, The Institute of Child HealthLondonUnited Kingdom
| | - Sandrine Imbeaud
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Hidetoshi Inoko
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 43Department of Genetic Information, Division of Molecular Life Science, School of Medicine, Tokai UniversityKanagawaJapan
| | - Alexander Kanapin
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Yayoi Kaneko
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Takeya Kasukawa
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Janet Kelso
- 44South African National Bioinformatics Institute, University of the Western CapeBellvilleSouth Africa
| | - Paul Kersey
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | | | | | - Bernhard Korn
- 46RZPD Resource Center for Genome ResearchHeidelbergGermany
| | - Vladimir Kuryshev
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Izabela Makalowska
- 48Pennsylvania State UniversityUniversity Park, PennsylvaniaUnited States of America
| | - Takashi Makino
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Shuhei Mano
- 43Department of Genetic Information, Division of Molecular Life Science, School of Medicine, Tokai UniversityKanagawaJapan
| | - Regine Mariage-Samson
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
| | - Jun Mashima
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Hideo Matsuda
- 49Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka UniversityOsakaJapan
| | - Hans-Werner Mewes
- 23MIPS—Institute for Bioinformatics, GSF—National Research Center for Environment and HealthNeuherbergGermany
| | - Shinsei Minoshima
- 50Medical Photobiology Department, Photon Medical Research Center, Hamamatsu University School of MedicineShizuokaJapan
- 52Department of Molecular Biology, Keio University School of MedicineTokyoJapan
| | | | - Hideki Nagasaki
- 51Computational Biology Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Naoki Nagata
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Rajni Nigam
- 27Medical College of Wisconsin, MilwaukeeWisconsinUnited States of America
| | - Osamu Ogasawara
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | | | - Masafumi Ohtsubo
- 52Department of Molecular Biology, Keio University School of MedicineTokyoJapan
| | - Norihiro Okada
- 53Department of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of TechnologyKanagawaJapan
| | - Toshihisa Okido
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Satoshi Oota
- 35Bioresource Information Division, RIKEN BioResource Center, RIKEN Tsukuba InstituteIbarakiJapan
| | - Motonori Ota
- 54Global Scientific Information and Computing Center, Tokyo Institute of TechnologyTokyoJapan
| | - Toshio Ota
- 22Tokyo Research Laboratories, Kyowa Hakko Kogyo CompanyTokyoJapan
| | - Tetsuji Otsuki
- 55Molecular Biology Laboratory, Medicinal Research Laboratories, Taisho Pharmaceutical CompanySaitamaJapan
| | | | - Annemarie Poustka
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Shuang-Xi Ren
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
- 37Chinese National Human Genome Center at ShanghaiShanghaiChina
| | - Naruya Saitou
- 56Department of Population Genetics, National Institute of GeneticsShizuokaJapan
| | - Katsunaga Sakai
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Shigetaka Sakamoto
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Ryuichi Sakate
- 39Graduate School of Frontier Sciences, Department of Integrated Biosciences, University of TokyoChibaJapan
| | - Ingo Schupp
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Florence Servant
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Stephen Sherry
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Rie Shiba
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Nobuyoshi Shimizu
- 52Department of Molecular Biology, Keio University School of MedicineTokyoJapan
| | - Mary Shimoyama
- 27Medical College of Wisconsin, MilwaukeeWisconsinUnited States of America
| | | | - Bento Soares
- 25Medical Education and Biomedical Research Facility, University of IowaIowa City, IowaUnited States of America
| | - Charles Steward
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Makiko Suwa
- 51Computational Biology Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Mami Suzuki
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Aiko Takahashi
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Gen Tamiya
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 43Department of Genetic Information, Division of Molecular Life Science, School of Medicine, Tokai UniversityKanagawaJapan
| | - Hiroshi Tanaka
- 33Department of Bioinformatics, Medical Research Institute, Tokyo Medical and Dental UniversityTokyoJapan
| | - Todd Taylor
- 57Human Genome Research Group, Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Joseph D Terwilliger
- 58Columbia University and Columbia Genome CenterNew York, New YorkUnited States of America
| | - Per Unneberg
- 59Department of Biotechnology, Royal Institute of TechnologyStockholmSweden
| | - Vamsi Veeramachaneni
- 48Pennsylvania State UniversityUniversity Park, PennsylvaniaUnited States of America
| | - Shinya Watanabe
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Laurens Wilming
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Norikazu Yasuda
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Hyang-Sook Yoo
- 18Korea Research Institute of Bioscience and BiotechnologyTaejeonKorea
| | - Marvin Stodolsky
- 60Biology Division and Genome Task Group, Office of Biological and Environmental Research, United States Department of EnergyWashington, D.CUnited States of America
| | - Wojciech Makalowski
- 48Pennsylvania State UniversityUniversity Park, PennsylvaniaUnited States of America
| | - Mitiko Go
- 61Faculty of Bio-Science, Nagahama Institute of Bio-Science and TechnologyShigaJapan
| | - Kenta Nakai
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Toshihisa Takagi
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Minoru Kanehisa
- 12Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityKyotoJapan
| | - Yoshiyuki Sakaki
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
- 57Human Genome Research Group, Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - John Quackenbush
- 62Institute for Genomic ResearchRockville, MarylandUnited States of America
| | - Yasushi Okazaki
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Yoshihide Hayashizaki
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Winston Hide
- 44South African National Bioinformatics Institute, University of the Western CapeBellvilleSouth Africa
| | - Ranajit Chakraborty
- 63Center for Genome Information, Department of Environmental Health, University of CincinnatiCincinnati, OhioUnited States of America
| | - Ken Nishikawa
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Hideaki Sugawara
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Yoshio Tateno
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Zhu Chen
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
- 37Chinese National Human Genome Center at ShanghaiShanghaiChina
- 64State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui-Jin Hospital, Shanghai Second Medical UniversityShanghaiChina
| | | | - Peter Tonellato
- 65PointOne SystemsWauwatosa, WisconsinUnited States of America
| | - Rolf Apweiler
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Kousaku Okubo
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Lukas Wagner
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Stefan Wiemann
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Robert L Strausberg
- 16National Cancer Institute, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Takao Isogai
- 10Reverse Proteomics Research InstituteChibaJapan
- 66Graduate School of Life and Environmental Sciences, University of TsukubaIbarakiJapan
| | - Charles Auffray
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Nobuo Nomura
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Takashi Gojobori
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
- 67Department of Genetics, Graduate University for Advanced StudiesShizuokaJapan
| | - Sumio Sugano
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 68Department of Medical Genome Sciences, Graduate School of Frontier Sciences, University of TokyoTokyoJapan
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21
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Poustka AJ, Groth D, Hennig S, Thamm S, Cameron A, Beck A, Reinhardt R, Herwig R, Panopoulou G, Lehrach H. Generation, annotation, evolutionary analysis, and database integration of 20,000 unique sea urchin EST clusters. Genome Res 2004; 13:2736-46. [PMID: 14656975 PMCID: PMC403816 DOI: 10.1101/gr.1674103] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Together with the hemichordates, sea urchins represent basal groups of nonchordate invertebrate deuterostomes that occupy a key position in bilaterian evolution. Because sea urchin embryos are also amenable to functional studies, the sea urchin system has emerged as one of the leading models for the analysis of the function of genomic regulatory networks that control development. We have analyzed a total of 107,283 cDNA clones of libraries that span the development of the sea urchin Strongylocentrotus purpuratus. Normalization by oligonucleotide fingerprinting, EST sequencing and sequence clustering resulted in an EST catalog comprised of 20,000 unique genes or gene fragments. Around 7000 of the unique EST consensus sequences were associated with molecular and developmental functions. Phylogenetic comparison of the identified genes to the genome of the urochordate Ciona intestinalis indicate that at least one quarter of the genes thought to be chordate specific were already present at the base of deuterostome evolution. Comparison of the number of gene copies in sea urchins to those in chordates and vertebrates indicates that the sea urchin genome has not undergone extensive gene or complete genome duplications. The established unique gene set represents an essential tool for the annotation and assembly of the forthcoming sea urchin genome sequence. All cDNA clones and filters of all analyzed libraries are available from the resource center of the German genome project at http://www.rzpd.de.
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Affiliation(s)
- Albert J Poustka
- Evolution and Development Group, Max Planck Institute for Molecular Genetics, Department of Vertebrate Genomics, 14195 Berlin, Germany.
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22
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Dickmeis T, Plessy C, Rastegar S, Aanstad P, Herwig R, Chalmel F, Fischer N, Strähle U. Expression profiling and comparative genomics identify a conserved regulatory region controlling midline expression in the zebrafish embryo. Genome Res 2004; 14:228-38. [PMID: 14718378 PMCID: PMC327098 DOI: 10.1101/gr.1819204] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Differential gene transcription is a fundamental regulatory mechanism of biological systems during development, body homeostasis, and disease. Comparative genomics is believed to be a rapid means for the identification of regulatory sequences in genomes. We tested this approach to identify regulatory sequences that control expression in the midline of the zebrafish embryo. We first isolated a set of genes that are coexpressed in the midline of the zebrafish embryo during somitogenesis stages by gene array analysis and subsequent rescreens by in situ hybridization. We subjected 45 of these genes to Compare and DotPlot analysis to detect conserved sequences in noncoding regions of orthologous loci in the zebrafish and Takifugu genomes. The regions of homology that were scored in nonconserved regions were inserted into expression vectors and tested for their regulatory activity by transient transgenesis in the zebrafish embryo. We identified one conserved region from the connective tissue growth factor gene (ctgf), which was able to drive expression in the midline of the embryo. This region shares sequence similarity with other floor plate/notochord-specific regulatory regions. Our results demonstrate that an unbiased comparative approach is a relevant method for the identification of tissue-specific cis-regulatory sequences in the zebrafish embryo.
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Affiliation(s)
- Thomas Dickmeis
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS/INSERM/ULP, BP 10142, F-67404 Illkirch Cedex, C.U. de Strasbourg, France
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23
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Shepherd IT, Pietsch J, Elworthy S, Kelsh RN, Raible DW. Roles for GFRα1 receptors in zebrafish enteric nervous system development. Development 2004; 131:241-9. [PMID: 14660438 DOI: 10.1242/dev.00912] [Citation(s) in RCA: 82] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Components of the zebrafish GDNF receptor complex are expressed very early in the development of enteric nervous system precursors, and are already present as these cells begin to enter the gut and migrate caudally along its length. Both gfra1a and gfra1b as well as ret are expressed at this time, while gfra2 expression, the receptor component that binds the GDNF-related ligand neurturin, is not detected until the precursors have migrated along the gut. Gfra genes are also expressed in regions of the zebrafish brain and peripheral ganglia, expression domains conserved with other species. Enteric neurons are eliminated after injection with antisense morpholino oligonucleotides against ret or against both Gfra1 orthologs, but are not affected by antisense oligonucleotides against gfra2. Blocking GDNF signaling prevents migration of enteric neuron precursors, which remain positioned at the anterior end of the gut. Phenotypes induced by injection of antisense morpholinos against both Gfra orthologs can be rescued by introduction of mRNA for gfra1a or for gfra2, suggesting that GFRα1 and GFRα2 are functionally equivalent.
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Affiliation(s)
- Iain T Shepherd
- Department of Biological Structure, University of Washington, Box 357420, Seattle, WA 98195, USA.
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24
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Peterson RT, Fishman MC. Discovery and use of small molecules for probing biological processes in zebrafish. Methods Cell Biol 2004; 76:569-91. [PMID: 15602893 DOI: 10.1016/s0091-679x(04)76026-4] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Randall T Peterson
- Developmental Biology Laboratory, Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA
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25
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Berdougo E, Coleman H, Lee DH, Stainier DYR, Yelon D. Mutation of weak atrium/atrial myosin heavy chain disrupts atrial function and influences ventricular morphogenesis in zebrafish. Development 2003; 130:6121-9. [PMID: 14573521 DOI: 10.1242/dev.00838] [Citation(s) in RCA: 216] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The embryonic vertebrate heart is composed of two major chambers, a ventricle and an atrium, each of which has a characteristic size, shape and functional capacity that contributes to efficient circulation. Chamber-specific gene expression programs are likely to regulate key aspects of chamber formation. Here, we demonstrate that epigenetic factors also have a significant influence on chamber morphogenesis. Specifically, we show that an atrium-specific contractility defect has a profound impact on ventricular development. We find that the zebrafish locus weak atrium encodes an atrium-specific myosin heavy chain that is required for atrial myofibrillar organization and contraction. Despite their atrial defects, weak atrium mutants can maintain circulation through ventricular contraction. However, the weak atrium mutant ventricle becomes unusually compact,exhibiting a thickened myocardial wall, a narrow lumen and changes in myocardial gene expression. As weak atrium/atrial myosin heavy chainis expressed only in the atrium, the ventricular phenotypes in weak atrium mutants represent a secondary response to atrial dysfunction. Thus, not only is cardiac form essential for cardiac function, but there also exists a reciprocal relationship in which function can influence form. These findings are relevant to our understanding of congenital defects in cardiac chamber morphogenesis.
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Affiliation(s)
- Eli Berdougo
- Developmental Genetics Program and Department of Cell Biology, Skirball Institute of Biomolecular Medicine, New York University School of Medicine, New York, NY 10016, USA
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26
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Clark MS, Edwards YJK, Peterson D, Clifton SW, Thompson AJ, Sasaki M, Suzuki Y, Kikuchi K, Watabe S, Kawakami K, Sugano S, Elgar G, Johnson SL. Fugu ESTs: new resources for transcription analysis and genome annotation. Genome Res 2003; 13:2747-53. [PMID: 14613980 PMCID: PMC403817 DOI: 10.1101/gr.1691503] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2003] [Accepted: 09/10/2003] [Indexed: 10/26/2022]
Abstract
The draft Fugu rubripes genome was released in 2002, at which time relatively few cDNAs were available to aid in the annotation of genes. The data presented here describe the sequencing and analysis of 24,398 expressed sequence tags (ESTs) generated from 15 different adult and juvenile Fugu tissues, 74% of which matched protein database entries. Analysis of the EST data compared with the Fugu genome data predicts that approximately 10,116 gene tags have been generated, covering almost one-third of Fugu predicted genes. This represents a remarkable economy of effort. Comparison with the Washington University zebrafish EST assemblies indicates strong conservation within fish species, but significant differences remain. This potentially represents divergence of sequence in the 5' terminal exons and UTRs between these two fish species, although clearly, complete EST data sets are not available for either species. This project provides new Fugu resources, and the analysis adds significant weight to the argument that EST programs remain an essential resource for genome exploitation and annotation. This is particularly timely with the increasing availability of draft genome sequence from different organisms and the mounting emphasis on gene function and regulation.
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Affiliation(s)
- Melody S Clark
- MRC Rosalind Franklin Centre for Genomics Research, (formerly known as the MRC UK HGMP Resource Centre), Genome Campus, Hinxton, Cambridge, CB10 1SB, UK.
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27
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Chen E, Hermanson S, Ekker SC. Syndecan-2 is essential for angiogenic sprouting during zebrafish development. Blood 2003; 103:1710-9. [PMID: 14592839 DOI: 10.1182/blood-2003-06-1783] [Citation(s) in RCA: 123] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
We used a morpholino-based gene-targeting screen to identify a novel protein essential for vascular development using the zebrafish, Danio rerio. We show that syndecan-2, a cell-surface heparan sulfate proteoglycan, is essential for angiogenic sprouting during embryogenesis. The vascular function of syndecan-2 is likely conserved, as zebrafish and mouse syndecan-2 show similar expression patterns around major trunk vessels, and human syndecan-2 can restore angiogenic sprouting in syndecan-2 morphants. In contrast, forced expression of a truncated form of syndecan-2 results in embryos with defects in angiogenesis, indicating that the highly conserved cytoplasmic tail is important for the vascular function of syndecan-2. We further show that vascular endothelial growth factor (VEGF) and syndecan-2 genetically interact in vivo using both gain-of-function and loss-of-function studies in zebrafish. VEGF-mediated ectopic signaling is compromised in syndecan-2 morphants, and ectopic syndecan-2 potentiates ectopic VEGF signaling. Syndecan-2 as a novel angiogenic factor is a potential candidate for use in the development of angiogenesis-based therapies.
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Affiliation(s)
- Eleanor Chen
- Arnold and Mabel Beckman Center for Transposon Research, Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN 55455, USA
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28
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Sato T, Mishina M. Representational difference analysis, high-resolution physical mapping, and transcript identification of the zebrafish genomic region for a motor behavior. Genomics 2003; 82:218-29. [PMID: 12837271 DOI: 10.1016/s0888-7543(03)00071-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Zebrafish is one of the best model organisms for investigating gene functions in vertebrates. By 4,5',8-trimethylpsoralen mutagenesis, we isolated a zebrafish mutant, vibrato, with defects in the spontaneous contraction and touch response. Whole genome subtraction between the wild-type and the mutant genomes by representational difference analysis yielded polymorphic markers tightly linked to the vibrato locus. Using these markers, we constructed a high-resolution physical map and localized the vibrato locus within a genomic region of 720 kb. Direct cDNA selection with the contig led to the identification of a novel gene, solo, encoding a protein with SEC14 and spectrin repeat domains. These domains of Solo shared significant amino acid sequence identities with those of mammalian Trio and Karilin. In addition, we found the zebrafish orthologs for mammalian TTN, COL5A2, and CED-6 in the vibrato region. Mapping of these genes localized human chromosomal regions possibly involved in motor disorders. Our results suggest that representational difference analysis provides an efficient way to isolate mutated genomic regions in zebrafish.
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Affiliation(s)
- Tomomi Sato
- Department of Molecular Neurobiology and Pharmacology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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29
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Pichler FB, Laurenson S, Williams LC, Dodd A, Copp BR, Love DR. Chemical discovery and global gene expression analysis in zebrafish. Nat Biotechnol 2003; 21:879-83. [PMID: 12894204 DOI: 10.1038/nbt852] [Citation(s) in RCA: 123] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The zebrafish (Danio rerio) provides an excellent model for studying vertebrate development and human disease because of its ex utero, optically transparent embryogenesis and amenability to in vivo manipulation. The rapid embryonic developmental cycle, large clutch sizes and ease of maintenance at large numbers also add to the appeal of this species. Considerable genomic data has recently become publicly available that is aiding the construction of zebrafish microarrays, thus permitting global gene expression analysis. The zebrafish is also suitable for chemical genomics, in part as a result of the permeability of its embryos to small molecules and consequent avoidance of external confounding maternal effects. Finally, there is increasing characterization and analysis of zebrafish models of human disease. Thus, the zebrafish offers a high-quality, high-throughput bioassay tool for determining the biological effect of small molecules as well as for dissecting biological pathways.
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Affiliation(s)
- Franz B Pichler
- Molecular Genetics and Development Group, School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand
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30
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Goldsmith MI, Fisher S, Waterman R, Johnson SL. Saltatory control of isometric growth in the zebrafish caudal fin is disrupted in long fin and rapunzel mutants. Dev Biol 2003; 259:303-17. [PMID: 12871703 DOI: 10.1016/s0012-1606(03)00186-6] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Zebrafish fins grow by sequentially adding new segments of bone to the distal end of each fin ray. In wild type zebrafish, segment addition is regulated such that an isometric relationship is maintained between fin length and body length over the lifespan of the growing fish. Using a novel, surrogate marker for fin growth in conjunction with cell proliferation assays, we demonstrate here that segment addition is not continuous, but rather proceeds by saltation. Saltation is a fundamental growth mechanism shared by disparate vertebrates, including humans. We further demonstrate that segment addition proceeds in conjunction with cyclic bursts of cell proliferation in the distal fin ray mesenchyme. In contrast, cells in the distal fin epidermis proliferate at a constant rate throughout the fin ray growth cycle. Finally, we show that two separate fin overgrowth mutants, long fin and rapunzel, bypass the stasis phase of the fin ray growth cycle to develop asymmetrical and symmetrical fin overgrowth, respectively.
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Affiliation(s)
- Matthew I Goldsmith
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.
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31
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Abstract
DNA microarray technology is revolutionizing many aspects of biological research, allowing the expression of many thousands of gene transcripts to be monitored simultaneously. This provides powerful tools for the genome-wide correlation of gene transcript levels with physiological responses and alterations in physiological states. To date, microarray analyses have been applied almost exclusively to a few model species for which the abundant gene sequence data permit the fabrication of whole-genome microarrays. However, many interesting physiological traits and responses are poorly expressed or absent in model species and may be better illustrated in nonmodel organisms. Comparative approaches to understanding function traditionally focus on species that by virtue of their unusual adaptations, lifestyles, and phylogeny are particularly suited to address a specific biological process or problem. In this review, we show that microarray technology can be successfully applied to these nonmodel species and used to generate new insights of comparative and evolutionary significance into animal function.
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Affiliation(s)
- Andrew Y Gracey
- Laboratory for Environmental Gene Regulation, School of Biological Sciences, University of Liverpool, Liverpool L69 3BX, United Kingdom.
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32
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Nechiporuk A, Poss KD, Johnson SL, Keating MT. Positional cloning of a temperature-sensitive mutant emmental reveals a role for sly1 during cell proliferation in zebrafish fin regeneration. Dev Biol 2003; 258:291-306. [PMID: 12798289 DOI: 10.1016/s0012-1606(03)00129-5] [Citation(s) in RCA: 55] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Here, we used classical genetics in zebrafish to identify temperature-sensitive mutants in caudal fin regeneration. Gross morphological, histological, and molecular analyses revealed that one of these strains, emmental (emm), failed to form a functional regeneration blastema. Inhibition of emm function by heat treatment during regenerative outgrowth rapidly blocked regeneration. This block was associated with reduced proliferation in the proximal blastema and expansion of the nonproliferative distal blastemal zone. Positional cloning revealed that the emm phenotype is caused by a mutation in the orthologue of yeast sly1, a gene product involved in protein trafficking. sly1 is upregulated in the newly formed blastema as well as during regenerative outgrowth. Thus, sly1 is essential for blastemal organization and proliferation during two stages of fin regeneration.
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Affiliation(s)
- Alex Nechiporuk
- Howard Hughes Medical Institute, Department of Cardiology, Children's Hospital, Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
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33
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Li L, Brunk BP, Kissinger JC, Pape D, Tang K, Cole RH, Martin J, Wylie T, Dante M, Fogarty SJ, Howe DK, Liberator P, Diaz C, Anderson J, White M, Jerome ME, Johnson EA, Radke JA, Stoeckert CJ, Waterston RH, Clifton SW, Roos DS, Sibley LD. Gene discovery in the apicomplexa as revealed by EST sequencing and assembly of a comparative gene database. Genome Res 2003; 13:443-54. [PMID: 12618375 PMCID: PMC430278 DOI: 10.1101/gr.693203] [Citation(s) in RCA: 121] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Large-scale EST sequencing projects for several important parasites within the phylum Apicomplexa were undertaken for the purpose of gene discovery. Included were several parasites of medical importance (Plasmodium falciparum, Toxoplasma gondii) and others of veterinary importance (Eimeria tenella, Sarcocystis neurona, and Neospora caninum). A total of 55192 ESTs, deposited into dbEST/GenBank, were included in the analyses. The resulting sequences have been clustered into nonredundant gene assemblies and deposited into a relational database that supports a variety of sequence and text searches. This database has been used to compare the gene assemblies using BLAST similarity comparisons to the public protein databases to identify putative genes. Of these new entries, approximately 15%-20% represent putative homologs with a conservative cutoff of p < 10(-9), thus identifying many conserved genes that are likely to share common functions with other well-studied organisms. Gene assemblies were also used to identify strain polymorphisms, examine stage-specific expression, and identify gene families. An interesting class of genes that are confined to members of this phylum and not shared by plants, animals, or fungi, was identified. These genes likely mediate the novel biological features of members of the Apicomplexa and hence offer great potential for biological investigation and as possible therapeutic targets.
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Affiliation(s)
- Li Li
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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34
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Rawls JF, Frieda MR, McAdow AR, Gross JP, Clayton CM, Heyen CK, Johnson SL. Coupled mutagenesis screens and genetic mapping in zebrafish. Genetics 2003; 163:997-1009. [PMID: 12663538 PMCID: PMC1462478 DOI: 10.1093/genetics/163.3.997] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Forward genetic analysis is one of the principal advantages of the zebrafish model system. However, managing zebrafish mutant lines derived from mutagenesis screens and mapping the corresponding mutations and integrating them into the larger collection of mutations remain arduous tasks. To simplify and focus these endeavors, we developed an approach that facilitates the rapid mapping of new zebrafish mutations as they are generated through mutagenesis screens. We selected a minimal panel of 149 simple sequence length polymorphism markers for a first-pass genome scan in crosses involving C32 and SJD inbred lines. We also conducted a small chemical mutagenesis screen that identified several new mutations affecting zebrafish embryonic melanocyte development. Using our first-pass marker panel in bulked-segregant analysis, we were able to identify the genetic map positions of these mutations as they were isolated in our screen. Rapid mapping of the mutations facilitated stock management, helped direct allelism tests, and should accelerate identification of the affected genes. These results demonstrate the efficacy of coupling mutagenesis screens with genetic mapping.
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Affiliation(s)
- John F Rawls
- Department of Genetics, Washington University School of Medicine, Saint Louis, Missouri 63110, USA
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35
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Spitsbergen JM, Kent ML. The state of the art of the zebrafish model for toxicology and toxicologic pathology research--advantages and current limitations. Toxicol Pathol 2003; 31 Suppl:62-87. [PMID: 12597434 PMCID: PMC1909756 DOI: 10.1080/01926230390174959] [Citation(s) in RCA: 99] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The zebrafish (Danio rerio) is now the pre-eminent vertebrate model system for clarification of the roles of specific genes and signaling pathways in development. The zebrafish genome will be completely sequenced within the next 1-2 years. Together with the substantial historical database regarding basic developmental biology, toxicology, and gene transfer, the rich foundation of molecular genetic and genomic data makes zebrafish a powerful model system for clarifying mechanisms in toxicity. In contrast to the highly advanced knowledge base on molecular developmental genetics in zebrafish, our database regarding infectious and noninfectious diseases and pathologic lesions in zebrafish lags far behind the information available on most other domestic mammalian and avian species, particularly rodents. Currently, minimal data are available regarding spontaneous neoplasm rates or spontaneous aging lesions in any of the commonly used wild-type or mutant lines of zebrafish. Therefore, to fully utilize the potential of zebrafish as an animal model for understanding human development, disease, and toxicology we must greatly advance our knowledge on zebrafish diseases and pathology.
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Affiliation(s)
- Jan M Spitsbergen
- Department of Environmental and Molecular Toxicology and Marine/Freshwater Biomedical Sciences Center, Oregon State University, Corvallis, Oregon 97333, USA.
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36
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Quigley IK, Parichy DM. Pigment pattern formation in zebrafish: a model for developmental genetics and the evolution of form. Microsc Res Tech 2002; 58:442-55. [PMID: 12242701 DOI: 10.1002/jemt.10162] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The zebrafish Danio rerio is an emerging model organism for understanding vertebrate development and genetics. One trait of both historical and recent interest is the pattern formed by neural crest-derived pigment cells, or chromatophores, which include black melanophores, yellow xanthophores, and iridescent iridophores. In zebrafish, an embryonic and early larval pigment pattern consists of several stripes of melanophores and iridophores, whereas xanthophores are scattered widely over the flank. During metamorphosis, however, this pattern is transformed into that of the adult, which comprises several dark stripes of melanophores and iridophores that alternate with light stripes of xanthophores and iridophores. In this review, we place zebrafish relative to other model and non-model species; we review what is known about the processes of chromatophore specification, differentiation, and morphogenesis during the development of embryonic and adult pigment patterns, and we address how future studies of zebrafish will likely aid our understanding of human disease and the evolution of form.
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Affiliation(s)
- Ian K Quigley
- Section of Integrative Biology, University of Texas at Austin, 78712, USA
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Abstract
In recent years, the zebrafish Danio rerio has emerged as a powerful model organism for the study of vertebrate embryogenesis. Zebrafish, like other vertebrates, possess pigment cells that arise from two distinct embryonic sources: those of the dermis and epidermis originate from the neural crest, while those that comprise the outermost layer of the retina, the retinal pigment epithelium or RPE, derive from the optic cup. A better understanding of processes behind the specification and differentiation of these cells will provide insight to the evolutionary diversification of all classes of vertebrates and will have clinical relevance to human disorders of pigmentation and certain retinopathies. In the first part of this review, the present knowledge of the ontogeny of both of these populations of pigment cells in the embryonic zebrafish is summarized, in terms of both genetics and molecular markers. The final part of the review focuses on duplicate zebrafish genes encoding orthologs of the basic helix-loop-helix/leucine zipper protein Mitf (Microphthalmia-associated transcription factor), and presents a hypothesis concerning their divergent roles in neural crest and retinal pigment cells.
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Affiliation(s)
- James A Lister
- Department of Biological Structure, University of Washington, Seattle 98195-7420, USA.
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Jarvis E, Smith V, Wada K, Rivas M, McElroy M, Smulders T, Carninci P, Hayashizaki Y, Dietrich F, Wu X, McConnell P, Yu J, Wang P, Hartemink A, Lin S. A framework for integrating the songbird brain. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 2002; 188:961-80. [PMID: 12471494 PMCID: PMC2509580 DOI: 10.1007/s00359-002-0358-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2002] [Revised: 08/13/2002] [Accepted: 09/05/2002] [Indexed: 01/11/2023]
Abstract
Biological systems by default involve complex components with complex relationships. To decipher how biological systems work, we assume that one needs to integrate information over multiple levels of complexity. The songbird vocal communication system is ideal for such integration due to many years of ethological investigation and a discreet dedicated brain network. Here we announce the beginnings of a songbird brain integrative project that involves high-throughput, molecular, anatomical, electrophysiological and behavioral levels of analysis. We first formed a rationale for inclusion of specific biological levels of analysis, then developed high-throughput molecular technologies on songbird brains, developed technologies for combined analysis of electrophysiological activity and gene regulation in awake behaving animals, and developed bioinformatic tools that predict causal interactions within and between biological levels of organization. This integrative brain project is fitting for the interdisciplinary approaches taken in the current songbird issue of the Journal of Comparative Physiology A and is expected to be conducive to deciphering how brains generate and perceive complex behaviors.
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Affiliation(s)
- E.D. Jarvis
- Department of Neurobiology, Box 3209, Duke University Medical Center, Durham, NC 27710, USA, E-mail: , Tel.: +1-919-6811680, Fax: +1-919-6810877
| | - V.A. Smith
- Department of Neurobiology, Box 3209, Duke University Medical Center, Durham, NC 27710, USA, E-mail: , Tel.: +1-919-6811680, Fax: +1-919-6810877
| | - K. Wada
- Department of Neurobiology, Box 3209, Duke University Medical Center, Durham, NC 27710, USA, E-mail: , Tel.: +1-919-6811680, Fax: +1-919-6810877
| | - M.V. Rivas
- Department of Cell Biology, Box 3709, Duke University Medical Center, Durham, NC 27710, USA
| | - M. McElroy
- Department of Neurobiology, Box 3209, Duke University Medical Center, Durham, NC 27710, USA, E-mail: , Tel.: +1-919-6811680, Fax: +1-919-6810877
| | - T.V. Smulders
- Department of Neurobiology, Box 3209, Duke University Medical Center, Durham, NC 27710, USA, E-mail: , Tel.: +1-919-6811680, Fax: +1-919-6810877
| | - P. Carninci
- Genome Science Laboratory, Riken Wako Main Campus, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Y. Hayashizaki
- Laboratory for Genome Exploration Research Group, RIKEN Genomic Science Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehirocho, Tsurumiku, Yokohama, Kanagawa, 230-0045, Japan
| | - F. Dietrich
- Duke Center for Genome Technology, Duke University Medical Center, Box 3568, Durham, NC 27710, USA
| | - X. Wu
- Duke Center for Genome Technology, Duke University Medical Center, Box 3568, Durham, NC 27710, USA
| | - P. McConnell
- Duke Bioinformatics Shared Resource, Duke University Medical Center, Box 3958, Durham, NC 27710, USA
| | - J. Yu
- Department of Electrical and Computer Engineering, Duke University, Box 90291, Durham, NC 27708, USA
| | - P.P. Wang
- Department of Electrical and Computer Engineering, Duke University, Box 90291, Durham, NC 27708, USA
| | - A.J. Hartemink
- Department of Computer Science, Duke University, Box 90129, Durham, NC 27708, USA
| | - S. Lin
- Duke Bioinformatics Shared Resource, Duke University Medical Center, Box 3958, Durham, NC 27710, USA
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Abstract
Microarrays offer biologists comprehensive and powerful tools to analyze the involvement of genes in developmental processes at an unprecedented scale. Microarrays that employ defined sequences will permit us to elucidate genetic relationships and responses, while those that employ undefined DNA sequences (ESTs, cDNA, or genomic libraries) will help us to discover new genes, relate them to documented gene networks, and examine the way in which genes (and the process that they themselves control) are regulated. With access to broad new avenues of research come strategic and logistical headaches, most of which are embodied in the reams of data that are created over the course of an experiment. The solutions to these problems have provided interesting computational tools, which will allow us to compile huge data sets and to construct a genome-wide view of development. We are on the threshold of a new vista of possibilities where we might consider in comprehensive and yet specific detail, for example, the degree to which diverse organisms utilize similar genetic networks to achieve similar ends.
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Affiliation(s)
- Adnan Ali
- Department of Biological Sciences, University of Windsor, 401 Sunset, Windsor, Ontario, Canada N9B 3P4.
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Thorgaard GH, Bailey GS, Williams D, Buhler DR, Kaattari SL, Ristow SS, Hansen JD, Winton JR, Bartholomew JL, Nagler JJ, Walsh PJ, Vijayan MM, Devlin RH, Hardy RW, Overturf KE, Young WP, Robison BD, Rexroad C, Palti Y. Status and opportunities for genomics research with rainbow trout. Comp Biochem Physiol B Biochem Mol Biol 2002; 133:609-46. [PMID: 12470823 DOI: 10.1016/s1096-4959(02)00167-7] [Citation(s) in RCA: 141] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The rainbow trout (Oncorhynchus mykiss) is one of the most widely studied of model fish species. Extensive basic biological information has been collected for this species, which because of their large size relative to other model fish species are particularly suitable for studies requiring ample quantities of specific cells and tissue types. Rainbow trout have been widely utilized for research in carcinogenesis, toxicology, comparative immunology, disease ecology, physiology and nutrition. They are distinctive in having evolved from a relatively recent tetraploid event, resulting in a high incidence of duplicated genes. Natural populations are available and have been well characterized for chromosomal, protein, molecular and quantitative genetic variation. Their ease of culture, and experimental and aquacultural significance has led to the development of clonal lines and the widespread application of transgenic technology to this species. Numerous microsatellites have been isolated and two relatively detailed genetic maps have been developed. Extensive sequencing of expressed sequence tags has begun and four BAC libraries have been developed. The development and analysis of additional genomic sequence data will provide distinctive opportunities to address problems in areas such as evolution of the immune system and duplicate genes.
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Affiliation(s)
- Gary H Thorgaard
- School of Biological Sciences and Center for Reproductive Biology, Washington State University, Pullman, WA 99164-4236, USA.
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41
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Herwig R, Schulz B, Weisshaar B, Hennig S, Steinfath M, Drungowski M, Stahl D, Wruck W, Menze A, O'Brien J, Lehrach H, Radelof U. Construction of a 'unigene' cDNA clone set by oligonucleotide fingerprinting allows access to 25 000 potential sugar beet genes. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2002; 32:845-57. [PMID: 12472698 DOI: 10.1046/j.1365-313x.2002.01457.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Access to the complete gene inventory of an organism is crucial to understanding physiological processes like development, differentiation, pathogenesis, or adaptation to the environment. Transcripts from many active genes are present at low copy numbers. Therefore, procedures that rely on random EST sequencing or on normalisation and subtraction methods have to produce massively redundant data to get access to low-abundance genes. Here, we present an improved oligonucleotide fingerprinting (ofp) approach to the genome of sugar beet (Beta vulgaris), a plant for which practically no molecular information has been available. To identify distinct genes and to provide a representative 'unigene' cDNA set for sugar beet, 159 936 cDNA clones were processed utilizing large-scale, high-throughput data generation and analysis methods. Data analysis yielded 30 444 ofp clusters reflecting the number of different genes in the original cDNA sample. A sample of 10 961 cDNA clones, each representing a different cluster, were selected for sequencing. Standard sequence analysis confirmed that 89% of these EST sequences did represent different genes. These results indicate that the full set of 30 444 ofp clusters represent up to 25 000 genes. We conclude that the ofp analysis pipeline is an accurate and effective way to construct large representative 'unigene' sets for any plant of interest with no requirement for prior molecular sequence data.
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Affiliation(s)
- Ralf Herwig
- Max-Planck Institute for Molecular Genetics, Ihnestr. 73, D-14195 Berlin, Germany.
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Poss KD, Nechiporuk A, Hillam AM, Johnson SL, Keating MT. Mps1 defines a proximal blastemal proliferative compartment essential for zebrafish fin regeneration. Development 2002; 129:5141-9. [PMID: 12399306 DOI: 10.1242/dev.129.22.5141] [Citation(s) in RCA: 137] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
One possible reason why regeneration remains enigmatic is that the dominant organisms used for studying regeneration are not amenable to genetic approaches. We mutagenized zebrafish and screened for temperature-sensitive defects in adult fin regeneration. The nightcap mutant showed a defect in fin regeneration that was first apparent at the onset of regenerative outgrowth. Positional cloning revealed that nightcapencodes the zebrafish orthologue of mps1, a kinase required for the mitotic checkpoint. mps1 expression was specifically induced in the proximal regeneration blastema, a group of cells that normally proliferate intensely during outgrowth. The nightcap mutation caused severe defects in these cells. However, msxb-expressing blastemal cells immediately distal to this proliferative region did not induce mps1and were retained in mutants. These results indicate that the proximal blastema comprises an essential subpopulation of the fin regenerate defined by the induction and function of Mps1. Furthermore, we show that molecular mechanisms of complex tissue regeneration can now be dissected using zebrafish genetics.
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Affiliation(s)
- Kenneth D Poss
- Howard Hughes Medical Institute, Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
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43
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Wierling CK, Steinfath M, Elge T, Schulze-Kremer S, Aanstad P, Clark M, Lehrach H, Herwig R. Simulation of DNA array hybridization experiments and evaluation of critical parameters during subsequent image and data analysis. BMC Bioinformatics 2002; 3:29. [PMID: 12390683 PMCID: PMC138793 DOI: 10.1186/1471-2105-3-29] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2002] [Accepted: 10/22/2002] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Gene expression analyses based on complex hybridization measurements have increased rapidly in recent years and have given rise to a huge amount of bioinformatic tools such as image analyses and cluster analyses. However, the amount of work done to integrate and evaluate these tools and the corresponding experimental procedures is not high. Although complex hybridization experiments are based on a data production pipeline that incorporates a significant amount of error parameters, the evaluation of these parameters has not been studied yet in sufficient detail. RESULTS In this paper we present simulation studies on several error parameters arising in complex hybridization experiments. A general tool was developed that allows the design of exactly defined hybridization data incorporating, for example, variations of spot shapes, spot positions and local and global background noise. The simulation environment was used to judge the influence of these parameters on subsequent data analysis, for example image analysis and the detection of differentially expressed genes. As a guide for simulating expression data real experimental data were used and model parameters were adapted to these data. Our results show how measurement error can be balanced by the analysis tools. CONCLUSIONS We describe an implemented model for the simulation of DNA-array experiments. This tool was used to judge the influence of critical parameters on the subsequent image analysis and differential expression analysis. Furthermore the tool can be used to guide future experiments and to improve performance by better experimental design. Series of simulated images varying specific parameters can be downloaded from our web-site: http://www.molgen.mpg.de/~lh_bioinf/projects/simulation/biotech/
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Affiliation(s)
- Christoph K Wierling
- Department of Vertebrate Genomics, Max-Planck-Institut für Molekulare Genetik, Ihnestrasse 73, D-14195 Berlin-Dahlem, Germany
| | - Matthias Steinfath
- Department of Vertebrate Genomics, Max-Planck-Institut für Molekulare Genetik, Ihnestrasse 73, D-14195 Berlin-Dahlem, Germany
| | - Thorsten Elge
- Deutsches Ressourcenzentrum für Genomforschung GmbH, Heubnerweg 6, D-14059 Berlin, Germany
| | - Steffen Schulze-Kremer
- Deutsches Ressourcenzentrum für Genomforschung GmbH, Heubnerweg 6, D-14059 Berlin, Germany
| | - Pia Aanstad
- Department of Biochemistry, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA-94143-0448, USA
| | - Matthew Clark
- Department of Vertebrate Genomics, Max-Planck-Institut für Molekulare Genetik, Ihnestrasse 73, D-14195 Berlin-Dahlem, Germany
| | - Hans Lehrach
- Department of Vertebrate Genomics, Max-Planck-Institut für Molekulare Genetik, Ihnestrasse 73, D-14195 Berlin-Dahlem, Germany
| | - Ralf Herwig
- Department of Vertebrate Genomics, Max-Planck-Institut für Molekulare Genetik, Ihnestrasse 73, D-14195 Berlin-Dahlem, Germany
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Stapleton M, Liao G, Brokstein P, Hong L, Carninci P, Shiraki T, Hayashizaki Y, Champe M, Pacleb J, Wan K, Yu C, Carlson J, George R, Celniker S, Rubin GM. The Drosophila gene collection: identification of putative full-length cDNAs for 70% of D. melanogaster genes. Genome Res 2002; 12:1294-300. [PMID: 12176937 PMCID: PMC186637 DOI: 10.1101/gr.269102] [Citation(s) in RCA: 170] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Collections of full-length nonredundant cDNA clones are critical reagents for functional genomics. The first step toward these resources is the generation and single-pass sequencing of cDNA libraries that contain a high proportion of full-length clones. The first release of the Drosophila Gene Collection Release 1 (DGCr1) was produced from six libraries representing various tissues, developmental stages, and the cultured S2 cell line. Nearly 80,000 random 5' expressed sequence tags (5' expressed sequence tags [ESTs]from these libraries were collapsed into a nonredundant set of 5849 cDNAs, corresponding to ~40% of the 13,474 predicted genes in Drosophila. To obtain cDNA clones representing the remaining genes, we have generated an additional 157,835 5' ESTs from two previously existing and three new libraries. One new library is derived from adult testis, a tissue we previously did not exploit for gene discovery; two new cap-trapped normalized libraries are derived from 0-22-h embryos and adult heads. Taking advantage of the annotated D. melanogaster genome sequence, we clustered the ESTs by aligning them to the genome. Clusters that overlap genes not already represented by cDNA clones in the DGCr1 were analyzed further, and putative full-length clones were selected for inclusion in the new DGC. This second release of the DGC (DGCr2) contains 5061 additional clones, extending the collection to 10,910 cDNAs representing >70% of the predicted genes in Drosophila.
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Affiliation(s)
- Mark Stapleton
- Berkeley Drosophila Genome Project, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
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45
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Abstract
In the present study, two gonad cDNA libraries from zebrafish testes and ovaries were constructed and a total of 1025 expressed sequence tag (EST) clones were generated from the two libraries: 501 from the testis library and 524 from the ovary library. A total of 641 of the EST clones were identified to share significant sequence identity with known sequences in GenBank, representing at least 478 different zebrafish genes. In order to understand the molecular compositions of the two gonad organs, the expression profiles of the identified clones in these two gonad cDNA libraries were analyzed. Both gonad libraries have a higher portion of clones for nuclear proteins and a lower portion for proteins in translational machinery, cytoskeleton and mitochondria than our previously characterized whole-adult cDNA library. Most abundant cDNA clones in the two gonad libraries were identified and over 10% of ovary clones were found to encode egg membrane proteins (zona pellucida or ZP proteins). Furthermore, the testis library showed a more even distribution of cDNA clones with relatively fewer abundant clones that tend to contribute redundant clones in EST projects; thus, the testis library can supply more unique and novel cDNA sequences in a zebrafish EST project. Another aim of this study is to identify cDNA clones that can be used as molecular markers for the analysis of the gonad development in zebrafish. Eleven potential clones were selected to analyze their expression patterns by Northern blot hybridization. Most of them showed a specific or predominant expression in the expected testis or ovary tissue. At last, four of the clones were found, by section in situ hybridization, to be expressed specifically in the germ cells of the testis or ovary and thus they are suitable molecular markers for analyses of spermatogenesis and oogenesis.
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Affiliation(s)
- Sheng Zeng
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
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46
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Mayer K, Mewes HW. How can we deliver the large plant genomes? Strategies and perspectives. CURRENT OPINION IN PLANT BIOLOGY 2002; 5:173-177. [PMID: 11856615 DOI: 10.1016/s1369-5266(02)00235-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The first sequenced plant genome, from the small mustard plant Arabidopsis thaliana, was published at the end of 2000. The sequencing of the rice genome is well under way. The sizes of plant genomes vary by a factor of up to 1000, and many important crop plants have genomes that are several times larger than the human genome. To gain insight into the gene toolbox of plant species, numerous large-scale EST sequencing projects have been launched successfully, and analysis procedures are constantly being refined to add maximum value to the sequence data. In addition, an alternative approach to exclude repetitive noncoding DNA and to enrich sequence libraries for gene-containing genomic regions has been developed. This strategy has the potential to deliver information about both genes and regulatory regions outside the transcribed regions.
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Affiliation(s)
- Klaus Mayer
- Munich Information Centre for Protein Sequences (MIPS), Institute for Bioinformatics, GSF-National Research Centre for Environment and Health, Ingolstädter Landstrasse 1, 85758 Neuherberg, Germany.
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47
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Abstract
The zebrafish pigment stripe pattern is a complex tissue containing iridophores, xanthophores and multiple melanocyte types. Mutational analysis reveals that both ancient and recent gene duplications are involved in the generation or maintenance of the pattern complexity. Receptor tyrosine kinases kit and fms, products of an ancient gene duplication, are required in distinct types of melanocytes and xanthophores. Transcription factors mitfa and mitfb, results of a teleost-specific duplication, partition gene expression and function between different sets of melanocytes. Understanding the roles of these duplicated genes in zebrafish allows us to predict roles for their precursors in ancestral vertebrates.
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Affiliation(s)
- Eve M Mellgren
- Dept of Genetics, Washington University Medical School, St. Louis, MO 63110, USA
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48
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Current Awareness on Comparative and Functional Genomics. Comp Funct Genomics 2002. [PMCID: PMC2447231 DOI: 10.1002/cfg.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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49
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Hukriede N, Fisher D, Epstein J, Joly L, Tellis P, Zhou Y, Barbazuk B, Cox K, Fenton-Noriega L, Hersey C, Miles J, Sheng X, Song A, Waterman R, Johnson SL, Dawid IB, Chevrette M, Zon LI, McPherson J, Ekker M. The LN54 radiation hybrid map of zebrafish expressed sequences. Genome Res 2001; 11:2127-32. [PMID: 11731504 PMCID: PMC311215 DOI: 10.1101/gr.210601] [Citation(s) in RCA: 61] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2001] [Accepted: 09/20/2001] [Indexed: 11/25/2022]
Abstract
To increase the density of a gene map of the zebrafish, Danio rerio, we have placed 3119 expressed sequence tags (ESTs) and cDNA sequences on the LN54 radiation hybrid (RH) panel. The ESTs and genes mapped here join 748 SSLp markers and 459 previously mapped genes and ESTs, bringing the total number of markers on the LN54 RH panel to 4226. Addition of these new markers brings the total LN54 map size to 14,372 cR, with 118 kb/cR. The distribution of ESTs according to linkage groups shows relatively little variation (minimum, 73; maximum, 201). This observation, combined with a relatively uniform size for zebrafish chromosomes, as previously indicated by karyotyping, indicates that there are no especially gene-rich or gene-poor chromosomes in this species. We developed an algorithm to provide a semiautomatic method for the selection of additional framework markers for the LN54 map. This algorithm increased the total number of framework markers to 1150 and permitted the mapping of a high percentage of sequences that could not be placed on a previous version of the LN54 map. The increased concentration of expressed sequences on the LN54 map of the zebrafish genome will facilitate the molecular characterization of mutations in this species.
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Affiliation(s)
- N Hukriede
- Laboratory of Molecular Genetics and Unit of Biological Computation, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, USA
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50
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Dickmeis T, Aanstad P, Clark M, Fischer N, Herwig R, Mourrain P, Blader P, Rosa F, Lehrach H, Strähle U. Identification of nodal signaling targets by array analysis of induced complex probes. Dev Dyn 2001; 222:571-80. [PMID: 11748827 DOI: 10.1002/dvdy.1220] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Nodal signaling controls germ layer formation, left-right asymmetry, and patterning of the brain in the vertebrate embryo. Cellular responses to Nodal signals are complex and include changes in gene expression, cell morphology, and migratory behavior. Only little is known about the genes regulated by Nodal signaling. We designed a subtractive screening strategy by using a constitutively active Nodal receptor to identify putative target genes of Nodal signals in the early gastrula of zebrafish embryos. By quantitative analysis of macro-array hybridizations, 132 genes corresponding to 1.4% of genes on the entire macro-array were identified, which were enriched in the Nodal-induced probe pool. These genes encode components of signal transduction pathways, transcription regulators, proteins involved in protein metabolism but also cytoskeletal components and metabolic enzymes, suggesting dramatic changes of cell physiology in gastrula cells in response to Nodal signals.
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Affiliation(s)
- T Dickmeis
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS/INSERM/ULP, C.U. de Strasbourg, France
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