Nematostella Genome
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Bioinformatic Analyses of Integral Membrane Transport Proteins Encoded Within the Genome of the Planctomycetes Species, Rhodopirellula Baltica
UC San Diego UC San Diego Previously Published Works Title Bioinformatic analyses of integral membrane transport proteins encoded within the genome of the planctomycetes species, Rhodopirellula baltica. Permalink https://escholarship.org/uc/item/0f85q1z7 Journal Biochimica et biophysica acta, 1838(1 Pt B) ISSN 0006-3002 Authors Paparoditis, Philipp Västermark, Ake Le, Andrew J et al. Publication Date 2014 DOI 10.1016/j.bbamem.2013.08.007 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Biochimica et Biophysica Acta 1838 (2014) 193–215 Contents lists available at ScienceDirect Biochimica et Biophysica Acta journal homepage: www.elsevier.com/locate/bbamem Bioinformatic analyses of integral membrane transport proteins encoded within the genome of the planctomycetes species, Rhodopirellula baltica Philipp Paparoditis a, Åke Västermark a,AndrewJ.Lea, John A. Fuerst b, Milton H. Saier Jr. a,⁎ a Department of Molecular Biology, Division of Biological Sciences, University of California at San Diego, La Jolla, CA, 92093–0116, USA b School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, 9072, Australia article info abstract Article history: Rhodopirellula baltica (R. baltica) is a Planctomycete, known to have intracellular membranes. Because of its un- Received 12 April 2013 usual cell structure and ecological significance, we have conducted comprehensive analyses of its transmembrane Received in revised form 8 August 2013 transport proteins. The complete proteome of R. baltica was screened against the Transporter Classification Data- Accepted 9 August 2013 base (TCDB) to identify recognizable integral membrane transport proteins. 342 proteins were identified with a Available online 19 August 2013 high degree of confidence, and these fell into several different classes. -
Transcriptional Regulation of RKIP in Prostate Cancer Progression
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Sciences Transcriptional Regulation of RKIP in Prostate Cancer Progression Submitted by: Sandra Marie Beach In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences Examination Committee Major Advisor: Kam Yeung, Ph.D. Academic William Maltese, Ph.D. Advisory Committee: Sonia Najjar, Ph.D. Han-Fei Ding, M.D., Ph.D. Manohar Ratnam, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: May 16, 2007 Transcriptional Regulation of RKIP in Prostate Cancer Progression Sandra Beach University of Toledo ACKNOWLDEGMENTS I thank my major advisor, Dr. Kam Yeung, for the opportunity to pursue my degree in his laboratory. I am also indebted to my advisory committee members past and present, Drs. Sonia Najjar, Han-Fei Ding, Manohar Ratnam, James Trempe, and Douglas Pittman for generously and judiciously guiding my studies and sharing reagents and equipment. I owe extended thanks to Dr. William Maltese as a committee member and chairman of my department for supporting my degree progress. The entire Department of Biochemistry and Cancer Biology has been most kind and helpful to me. Drs. Roy Collaco and Hong-Juan Cui have shared their excellent technical and practical advice with me throughout my studies. I thank members of the Yeung laboratory, Dr. Sungdae Park, Hui Hui Tang, Miranda Yeung for their support and collegiality. The data mining studies herein would not have been possible without the helpful advice of Dr. Robert Trumbly. I am also grateful for the exceptional assistance and shared microarray data of Dr. -
RESEARCH ARTICLES Gene Cluster Statistics with Gene Families
RESEARCH ARTICLES Gene Cluster Statistics with Gene Families Narayanan Raghupathy*1 and Dannie Durand* *Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA; and Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA Identifying genomic regions that descended from a common ancestor is important for understanding the function and evolution of genomes. In distantly related genomes, clusters of homologous gene pairs are evidence of candidate homologous regions. Demonstrating the statistical significance of such ‘‘gene clusters’’ is an essential component of comparative genomic analyses. However, currently there are no practical statistical tests for gene clusters that model the influence of the number of homologs in each gene family on cluster significance. In this work, we demonstrate empirically that failure to incorporate gene family size in gene cluster statistics results in overestimation of significance, leading to incorrect conclusions. We further present novel analytical methods for estimating gene cluster significance that take gene family size into account. Our methods do not require complete genome data and are suitable for testing individual clusters found in local regions, such as contigs in an unfinished assembly. We consider pairs of regions drawn from the same genome (paralogous clusters), as well as regions drawn from two different genomes (orthologous clusters). Determining cluster significance under general models of gene family size is computationally intractable. By assuming that all gene families are of equal size, we obtain analytical expressions that allow fast approximation of cluster probabilities. We evaluate the accuracy of this approximation by comparing the resulting gene cluster probabilities with cluster probabilities obtained by simulating a realistic, power-law distributed model of gene family size, with parameters inferred from genomic data. -
Evolution of Orthologous Tandemly Arrayed Gene Clusters
Tremblay Savard et al. BMC Bioinformatics 2011, 12(Suppl 9):S2 http://www.biomedcentral.com/1471-2105/12/S9/S2 PROCEEDINGS Open Access Evolution of orthologous tandemly arrayed gene clusters Olivier Tremblay Savard1*, Denis Bertrand2*, Nadia El-Mabrouk1* From Ninth Annual Research in Computational Molecular Biology (RECOMB) Satellite Workshop on Com- parative Genomics Galway, Ireland. 8-10 October 2011 Abstract Background: Tandemly Arrayed Gene (TAG) clusters are groups of paralogous genes that are found adjacent on a chromosome. TAGs represent an important repertoire of genes in eukaryotes. In addition to tandem duplication events, TAG clusters are affected during their evolution by other mechanisms, such as inversion and deletion events, that affect the order and orientation of genes. The DILTAG algorithm developed in [1] makes it possible to infer a set of optimal evolutionary histories explaining the evolution of a single TAG cluster, from an ancestral single gene, through tandem duplications (simple or multiple, direct or inverted), deletions and inversion events. Results: We present a general methodology, which is an extension of DILTAG, for the study of the evolutionary history of a set of orthologous TAG clusters in multiple species. In addition to the speciation events reflected by the phylogenetic tree of the considered species, the evolutionary events that are taken into account are simple or multiple tandem duplications, direct or inverted, simple or multiple deletions, and inversions. We analysed the performance of our algorithm on simulated data sets and we applied it to the protocadherin gene clusters of human, chimpanzee, mouse and rat. Conclusions: Our results obtained on simulated data sets showed a good performance in inferring the total number and size distribution of duplication events. -
Partial Retrotransposon-Like DNA Sequence in the Genomic Clone of Aspergillus flavus, Paf28
Mycol. Res. 107 (7): 841–846 (July 2003). f The British Mycological Society 841 DOI: 10.1017/S0953756203008116 Printed in the United Kingdom. Partial retrotransposon-like DNA sequence in the genomic clone of Aspergillus flavus, pAF28 1 1 1 2 Patricia A. OKUBARA #, Brian K. TIBBOT , Alice S. TARUN , Cesaria E. MCALPIN and Sui-Sheng T. HUA1* 1 USDA, Agricultural Research Service, Western Regional Research Center, 800 Buchanan Street, Albany, CA 94710, USA. 2 USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Peoria, IL, USA. E-mail : [email protected] Received 18 February 2003; accepted 21 May 2003. A genomic clone of the aflatoxin-producing fungus Aspergillus flavus, designated pAF28, has been used as a probe for Southern blot fingerprinting of fungal strains. A large number of A. flavus strains isolated from corn fields and tree-nut orchards can be distinguished because the DNA fingerprint patterns are highly polymorphic. We have completed the sequencing of a 6355 bp insert in pAF28. The sequence features motifs and open reading frames characteristic of transposable elements of the gypsy class. We have named this new element AfRTL-1, for A. flavus retrotransposon-like DNA. INTRODUCTION characterized vegetative compatibility groups (Papa 1986, McAlpin & Mannarelli 1995, McAlpin et al. Aspergillus flavus is the most common aflatoxin-pro- 2002) indicates its further utility. In this study, we ducing species on corn, cotton, peanuts and tree nuts demonstrate that the genomic insert of pAF28 carries (Diener et al. 1987). Aflatoxin is a potent hepatoxin and a partial retrotransposon-like element homologous to carcinogen that poses a serious food safety hazard to the gypsy-class retrotransposon MAGGY, originally both humans and animals. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
The Evolutionary Life History of P Transposons: from Horizontal Invaders to Domesticated Neogenes
Chromosoma (2001) 110:148–158 DOI 10.1007/s004120100144 CHROMOSOMA FOCUS Wilhelm Pinsker · Elisabeth Haring Sylvia Hagemann · Wolfgang J. Miller The evolutionary life history of P transposons: from horizontal invaders to domesticated neogenes Received: 5 February 2001 / In revised form: 15 March 2001 / Accepted: 15 March 2001 / Published online: 3 May 2001 © Springer-Verlag 2001 Abstract P elements, a family of DNA transposons, are uct of their self-propagating lifestyle. One of the most known as aggressive intruders into the hitherto uninfected intensively studied examples is the P element of Dro- gene pool of Drosophila melanogaster. Invading through sophila, a family of DNA transposons that has proved horizontal transmission from an external source they useful not only as a genetic tool (e.g., transposon tag- managed to spread rapidly through natural populations ging, germline transformation vector), but also as a model within a few decades. Owing to their propensity for rapid system for investigating general features of the evolu- propagation within genomes as well as within popula- tionary behavior of mobile DNA (Kidwell 1994). P ele- tions, they are considered as the classic example of self- ments were first discovered as the causative agent of hy- ish DNA, causing havoc in a genomic environment per- brid dysgenesis in Drosophila melanogaster (Kidwell et missive for transpositional activity. Tracing the fate of P al. 1977) and were later characterized as a family of transposons on an evolutionary scale we describe differ- DNA transposons -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Transposable Element Insertions Shape Gene Regulation and Melanin
Krishnan et al. BMC Biology (2018) 16:78 https://doi.org/10.1186/s12915-018-0543-2 RESEARCH ARTICLE Open Access Transposable element insertions shape gene regulation and melanin production in a fungal pathogen of wheat Parvathy Krishnan1, Lukas Meile1, Clémence Plissonneau1,2, Xin Ma1, Fanny E. Hartmann1,3, Daniel Croll1,4, Bruce A. McDonald1 and Andrea Sánchez-Vallet1* Abstract Background: Fungal plant pathogens pose major threats to crop yield and sustainable food production if they are highly adapted to their host and the local environment. Variation in gene expression contributes to phenotypic diversity within fungal species and affects adaptation. However, very few cases of adaptive regulatory changes have been reported in fungi and the underlying mechanisms remain largely unexplored. Fungal pathogen genomes are highly plastic and harbor numerous insertions of transposable elements, which can potentially contribute to gene expression regulation. In this work, we elucidated how transposable elements contribute to variation in melanin accumulation, a quantitative trait in fungi that affects survival under stressful conditions. Results: We demonstrated that differential transcriptional regulation of the gene encoding the transcription factor Zmr1, which controls expression of the genes in the melanin biosynthetic gene cluster, is responsible for variation in melanin accumulation in the fungal plant pathogen Zymoseptoria tritici. We show that differences in melanin levels between two strains of Z. tritici are due to two levels of transcriptional regulation: (1) variation in the promoter sequence of Zmr1 and (2) an insertion of transposable elements upstream of the Zmr1 promoter. Remarkably, independent insertions of transposable elements upstream of Zmr1 occurred in 9% of Z. -
A CRISPR/Cas9 Cleavage System for Capturing Fungal Secondary Metabolite Gene Clusters
J. Microbiol. Biotechnol. 2021. 31(1): 8–15 https://doi.org/10.4014/jmb.2008.08040 Review A CRISPR/Cas9 Cleavage System for Capturing Fungal Secondary Metabolite Gene Clusters Xinran Xu1,2, Jin Feng1, Peng Zhang1, Jie Fan1, and Wen-Bing Yin1,2* 1State Key Laboratory of Mycology and CAS Key Laboratory of Microbial Physiological and Metabolic Engineering, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P.R. China 2Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, P.R. China More and more available fungal genome sequence data reveal a large amount of secondary metabolite (SM) biosynthetic ‘dark matter’ to be discovered. Heterogeneous expression is one of the most effective approaches to exploit these novel natural products, but it is limited by having to clone entire biosynthetic gene clusters (BGCs) without errors. So far, few effective technologies have been developed to manipulate the specific large DNA fragments in filamentous fungi. Here, we developed a fungal BGC-capturing system based on CRISPR/Cas9 cleavage in vitro. In our system, Cas9 protein was purified and CRISPR guide sequences in combination with in vivo yeast assembly were rationally designed. Using targeted cleavages of plasmid DNAs with linear (8.5 kb) or circular (8.5 kb and 28 kb) states, we were able to cleave the plasmids precisely, demonstrating the high efficiency of this system. Furthermore, we successfully captured the entire Nrc gene cluster from the genomic DNA of Neosartorya fischeri. Our results provide an easy and efficient approach to manipulate fungal genomic DNA based on the in vitro application of Cas9 endonuclease. -
Density-Based Binning of Gene Clusters to Infer Function Or
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.27.446007; this version posted May 28, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Density-based binning of gene clusters to infer function or evolutionary history using GeneGrouper Alexander G. McFarland1, Nolan W. Kennedy2, Carolyn E. Mills2, Danielle Tullman-Ercek2, Curtis Huttenhower3,4, *Erica M. Hartmann1 1Northwestern University, Department of Civil and Environmental Engineering, 2Northwestern University, Department of Chemical and Biological Engineering, 3Harvard University, Department of Biostatistics, 4Harvard University, Department of Immunology and Infectious Diseases *Corresponding author Abstract Motivation Identifying gene clusters of interest in phylogenetically proximate and distant taxa can help to infer phenotypes of interest. Conserved gene clusters may differ by only a few genes, which can be biologically meaningful, such as the formation of pseudogenes or insertions interrupting regulation. These qualities may allow for unsupervised clustering of similar gene clusters into bins that provide a population-level understanding of the genetic variation in similar gene clusters. Results We developed GeneGrouper, a command-line tool that uses a density-based clustering method to group gene clusters into bins. GeneGrouper demonstrated high recall and precision in benchmarks for the detection of the 23-gene Salmonella enterica LT2 Pdu gene cluster and 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.05.27.446007; this version posted May 28, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Comparative Mapping and Structural Analysis of a FOX Gene Cluster on Bovine Chromosome 18
•k Original paper•l Comparative mapping and structural analysis of a FOX gene cluster on bovine chromosome 18 Abdol Rahim ABBASI 1, 3, Maryam KHALAJ 1, GERILETUYA 1, Naoya IHARA 2, Yoshikazu SUGIMOTO 2 and Tetsuo KUNIEDA 1 1 Graduate School of Natural Science and Technology , Okayama University, Okayama, Japan. 2 Shirakawa Institute of Animal Genetics , Nishi-shirakawa, Fukushima, Japan. 3 Department of Animal Science , College of Agriculture, Isfahan university of Technology, Isfahan, Iran ABSTRACT FOX genes encode a family of transcription factors which play important roles during early development and in regulation of metabolic homeostasis in mammals. Some members of the gene family, including FOXC2, FOXF1, and FOXL1 genes comprise a gene cluster on particular regions of human and mouse chromosomes. In this paper, we report chromosomal localization and structure of bovine FOXC2, FOXF1 and FOXL1 gene cluster and comparative analysis of the gene cluster in cattle, human, and mouse, which were performed by a combination of in silico database searching and in vitro sequencing and mapping experiments. BLAST search of cattle database with cDNA sequences of human and mouse FOXC2, FOXF1 and FOXL1 genes identified several ESTs which represent cattle cDNAs of these genes. Radiation hybrid mapping of these cattle cDNAs revealed that the bovine FOXC2, FOXL1, and FOXF1 genes are localized on the proximal region of bovine chromosome 18 and form a gene cluster. A comparative map of the region including the FOX gene cluster between cattle and human indicated that the localization of these genes on cattle chromosome is in concordant with those in the corresponding human chromosome.