Analysis of the Genome Sequence of the ¯Owering Plant Arabidopsis Thaliana
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Analysis of the Impact of Sequencing Errors on Blast Using Fault Injection
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Illinois Digital Environment for Access to Learning and Scholarship Repository ANALYSIS OF THE IMPACT OF SEQUENCING ERRORS ON BLAST USING FAULT INJECTION BY SO YOUN LEE THESIS Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Computer Engineering in the Graduate College of the University of Illinois at Urbana-Champaign, 2013 Urbana, Illinois Adviser: Professor Ravishankar K. Iyer ABSTRACT This thesis investigates the impact of sequencing errors in post-sequence computational analyses, including local alignment search and multiple sequence alignment. While the error rates of sequencing technology are commonly reported, the significance of these numbers cannot be fully grasped without putting them in the perspective of their impact on the downstream analyses that are used for biological research, forensics, diagnosis of diseases, etc. I approached the quantification of the impact using fault injection. Faults were injected in the input sequence data, and the analyses were run. Change in the output of the analyses was interpreted as the impact of faults, or errors. Three commonly used algorithms were used: BLAST, SSEARCH, and ProbCons. The main contributions of this work are the application of fault injection to the reliability analysis in bioinformatics and the quantitative demonstration that a small error rate in the sequence data can alter the output of the analysis in a significant way. BLAST and SSEARCH are both local alignment search tools, but BLAST is a heuristic implementation, while SSEARCH is based on the optimal Smith-Waterman algorithm. -
Adaptive Radiations: from Field to Genomic Studies
Adaptive radiations: From field to genomic studies Scott A. Hodges and Nathan J. Derieg1 Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106 Adaptive radiations were central to Darwin’s formation of his phenotype–environment correlation, (iii) trait utility, and (iv) theory of natural selection, and today they are still the centerpiece rapid speciation. Monophyly and rapid speciation for many of for many studies of adaptation and speciation. Here, we review the the classic examples of adaptive radiation have been established advantages of adaptive radiations, especially recent ones, for by using molecular techniques [e.g., cichlids (4), Galapagos detecting evolutionary trends and the genetic dissection of adap- finches (5, 6), and Hawaiian silverswords (7)]. Ecological and tive traits. We focus on Aquilegia as a primary example of these manipulative experiments are used to identify and test pheno- advantages and highlight progress in understanding the genetic type–environmental correlations and trait utility. Ultimately, basis of flower color. Phylogenetic analysis of Aquilegia indicates such studies have pointed to the link between divergent natural that flower color transitions proceed by changes in the types of selection and reproductive isolation and, thus, speciation (3). anthocyanin pigments produced or their complete loss. Biochem- Studies of adaptive radiations have exploded during the last 20 ical, crossing, and gene expression studies have provided a wealth years. In a search of the ISI Web of Science with ‘‘adaptive of information about the genetic basis of these transitions in radiation’’ (limited to the subject area of evolutionary biology) Aquilegia. To obtain both enzymatic and regulatory candidate we found 80 articles published in 2008 compared with only 1 in genes for the entire flavonoid pathway, which produces antho- 1990. -
Advancing Solutions to the Carbohydrate Sequencing Challenge † † † ‡ § Christopher J
Perspective Cite This: J. Am. Chem. Soc. 2019, 141, 14463−14479 pubs.acs.org/JACS Advancing Solutions to the Carbohydrate Sequencing Challenge † † † ‡ § Christopher J. Gray, Lukasz G. Migas, Perdita E. Barran, Kevin Pagel, Peter H. Seeberger, ∥ ⊥ # ⊗ ∇ Claire E. Eyers, Geert-Jan Boons, Nicola L. B. Pohl, Isabelle Compagnon, , × † Göran Widmalm, and Sabine L. Flitsch*, † School of Chemistry & Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K. ‡ Institute for Chemistry and Biochemistry, Freie Universitaẗ Berlin, Takustraße 3, 14195 Berlin, Germany § Biomolecular Systems Department, Max Planck Institute for Colloids and Interfaces, Am Muehlenberg 1, 14476 Potsdam, Germany ∥ Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K. ⊥ Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States # Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States ⊗ Institut Lumierè Matiere,̀ UMR5306 UniversitéLyon 1-CNRS, Universitéde Lyon, 69622 Villeurbanne Cedex, France ∇ Institut Universitaire de France IUF, 103 Blvd St Michel, 75005 Paris, France × Department of Organic Chemistry, Arrhenius Laboratory, Stockholm University, S-106 91 Stockholm, Sweden *S Supporting Information established connection between their structure and their ABSTRACT: Carbohydrates possess a variety of distinct function, full characterization of unknown carbohydrates features with -
Genome Sequence of the Progenitor of the Wheat D Genome Aegilops Tauschii Ming-Cheng Luo1*, Yong Q
OPEN LETTER doi:10.1038/nature24486 Genome sequence of the progenitor of the wheat D genome Aegilops tauschii Ming-Cheng Luo1*, Yong Q. Gu2*, Daniela Puiu3*, Hao Wang4,5,6*, Sven O. Twardziok7*, Karin R. Deal1, Naxin Huo1,2, Tingting Zhu1, Le Wang1, Yi Wang1,2, Patrick E. McGuire1, Shuyang Liu1, Hai Long1, Ramesh K. Ramasamy1, Juan C. Rodriguez1, Sonny L. Van1, Luxia Yuan1, Zhenzhong Wang1,8, Zhiqiang Xia1, Lichan Xiao1, Olin D. Anderson2, Shuhong Ouyang2,8, Yong Liang2,8, Aleksey V. Zimin3, Geo Pertea3, Peng Qi4,5, Jeffrey L. Bennetzen6, Xiongtao Dai9, Matthew W. Dawson9, Hans-Georg Müller9, Karl Kugler7, Lorena Rivarola-Duarte7, Manuel Spannagl7, Klaus F. X. Mayer7,10, Fu-Hao Lu11, Michael W. Bevan11, Philippe Leroy12, Pingchuan Li13, Frank M. You13, Qixin Sun8, Zhiyong Liu8, Eric Lyons14, Thomas Wicker15, Steven L. Salzberg3,16, Katrien M. Devos4,5 & Jan Dvořák1 Aegilops tauschii is the diploid progenitor of the D genome of We conclude therefore that the size of the Ae. tauschii genome is about hexaploid wheat1 (Triticum aestivum, genomes AABBDD) and 4.3 Gb. an important genetic resource for wheat2–4. The large size and To assess the accuracy of our assembly, sequences of 195 inde- highly repetitive nature of the Ae. tauschii genome has until now pendently sequenced and assembled AL8/78 BAC clones8, which precluded the development of a reference-quality genome sequence5. contained 25,540,177 bp in 2,405 unordered contigs, were aligned to Here we use an array of advanced technologies, including ordered- Aet v3.0. Five contigs failed to align and six extended partly into gaps, clone genome sequencing, whole-genome shotgun sequencing, accounting for 0.25% of the total length of the contigs. -
Specialty Sorghums for Gluten Free Foods
SPECIALTY SORGHUMS FOR HEALTHY FOODS Dr. LLOYD W. ROONEY, Professor and Faculty Fellow Dr. JOSEPH M. AWIKA, Research Associate Cereal Quality Lab, Soil & Crop Sciences Dept. Texas A&M University 2474 TAMUS College Station, Texas 77843-2474 1 I. INTRODUCTION Sorghum is a major crop used for food, feed and industrial purposes worldwide. In the Western Hemisphere it is mainly used as a livestock feed and has not been considered a significant ingredient in foods. With over 40,000 accessions in the world collection, tremendous diversity exists in sorghum in both composition and processing properties. The kernel varies in size, shape, color, density, hardness, composition, processing properties, taste and texture and nutritional value. This chapter reviews information on new food sorghums and other special sorghums with unique properties that could be used in producing a wide variety of food products for specialty markets and health foods. The paper will emphasize white food sorghum hybrids and special tannin and black sorghums with high levels of phytochemicals. These special sorghum varieties are an excellent source of nutraceuticals that can compete effectively with fruits and vegetable sources. In addition, we will indicate other opportunities for producing healthy foods from sorghum. A. Sorghum production Sorghum is the fifth most important cereal crop grown in the world. It is a major food grain in Africa and parts of India and China. In 2003, 42.1 million hectares of sorghum were harvested worldwide, with a total production of 54.7 million metric tons. United States, India, and Nigeria are the largest producers of sorghum representing approximately 19.2%, 14.5%, and 14.5% of the total world production, respectively, in 2003. -
Arabidopsis Thaliana
Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH A Physical Map of Chromosome 2 of Arabidopsis thaliana Eve Ann Zachgo, 2,4 Ming Li Wang, 1'2'4 Julia Dewdney, 1'2 David Bouchez, 3 Christine Carnilleri, 3 Stephen Belmonte, 2 Lu Huang, 2 Maureen Dolan, 2 and Howard M. Goodman 1'2'5 1Department of Genetics, Harvard Medical School and 2Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts 02114; 3Laboratoire de Biologie Cellulaire, Institut National de la Recherche Agronomique (INRA), 78026 Versailles CEDEX, France A yeast artificial chromosome (YAC] physical map of chromosome 2 of Arabidopsis thaliana has been constructed by hybridization of 69 DNA markers and 61 YAC end probes to gridded arrays of YAC clones. Thirty-four YACs in four contigs define the chromosome. Complete closure of the map was not attained because some regions of the chromosome were repetitive or were not represented in the YAC library. Based on the sizes of the YACs and their coverage of the chromosome, the length of chromosome 2 is estimated to be at least 18 Mb. These data provide the means for immediately identifying the YACs containing a genetic locus mapped on Arabidopsis chromosome 2. The small flowering plant Arabidopsis thaliana is ters (Maluszynska and Heslop-Harrison 1991; A1- an excellent model system for metabolic, genetic, bini 1994; Copenhaver et al. 1995). We present and developmental studies in plants. Its haploid here a YAC contig physical map of chromosome nuclear genome is small (-100 Mb), consisting of 2 of A. -
Genomes:Genomes: Whatwhat Wewe Knowknow …… Andand Whatwhat Wewe Don’Tdon’T Knowknow
Genomes:Genomes: WhatWhat wewe knowknow …… andand whatwhat wewe don’tdon’t knowknow Complete draft sequence 2001 OctoberOctober 15,15, 20072007 Dr.Dr. StefanStefan Maas,Maas, BioSBioS Lehigh Lehigh U.U. © SMaas 2007 What we know Raw genome data © SMaas 2007 The range of genome sizes in the animal & plant kingdoms !! NoNo correlationcorrelation betweenbetween genomegenome sizesize andand complexitycomplexity © SMaas 2007 What accounts for the often massive and seemingly arbitrary differences in genome size observed among eukaryotic organisms? The fruit fly The mountain grasshopper Drosophila melanogaster Podisma pedestris 180 Mb 18,000 Mb The difference in genome size of a factor of 100 is difficult to explain in view of the apparently similar levels of evolutionary, developmental and behavioral complexity of these organisms. © SMaas 2007 ComplexityComplexity doesdoes notnot correlatecorrelate withwith genomegenome sizesize 3.4 × 10 9 bp 6.7 × 1011 bp Homo sapiens Amoeba dubia © SMaas 2007 ComplexityComplexity doesdoes notnot correlatecorrelate withwith genegene numbernumber ~31,000~31,000 genesgenes ~26,000~26,000 genesgenes ~50,000~50,000 genesgenes © SMaas 2007 IsIs anan ExpansionExpansion inin GeneGene NumberNumber drivingdriving EvolutionEvolution ofof HigherHigher Organisms?Organisms? Vertebrata 30,000 Urochordata 16,000 Arthropoda 14,000 Nematoda 21,000 Fungi 2,000 – 13,000 Vascular plants 25,000 – 60,000 Unicellular sps. 5,000 – 10,000 Prokaryotes 500 - 7,000 © SMaas 2007 Structure of DNA Watson and Crick in 1953 proposed that DNA is a double helix in which the 4 bases are base paired, Adenine (A) with Thymine (T) and Guanine (G) with Cytosine (C). © SMaas 2007 © SMaas 2007 © SMaas 2007 Steps in the folding of DNA to create an eukaryotic chromosome 30 nm fiber (6 nucleosomes per turn) FactorFactor ofof condensation:condensation: Ca.Ca. -
To Find Information About Arabidopsis Genes Leonore Reiser1, Shabari
UNIT 1.11 Using The Arabidopsis Information Resource (TAIR) to Find Information About Arabidopsis Genes Leonore Reiser1, Shabari Subramaniam1, Donghui Li1, and Eva Huala1 1Phoenix Bioinformatics, Redwood City, CA USA ABSTRACT The Arabidopsis Information Resource (TAIR; http://arabidopsis.org) is a comprehensive Web resource of Arabidopsis biology for plant scientists. TAIR curates and integrates information about genes, proteins, gene function, orthologs gene expression, mutant phenotypes, biological materials such as clones and seed stocks, genetic markers, genetic and physical maps, genome organization, images of mutant plants, protein sub-cellular localizations, publications, and the research community. The various data types are extensively interconnected and can be accessed through a variety of Web-based search and display tools. This unit primarily focuses on some basic methods for searching, browsing, visualizing, and analyzing information about Arabidopsis genes and genome, Additionally we describe how members of the community can share data using TAIR’s Online Annotation Submission Tool (TOAST), in order to make their published research more accessible and visible. Keywords: Arabidopsis ● databases ● bioinformatics ● data mining ● genomics INTRODUCTION The Arabidopsis Information Resource (TAIR; http://arabidopsis.org) is a comprehensive Web resource for the biology of Arabidopsis thaliana (Huala et al., 2001; Garcia-Hernandez et al., 2002; Rhee et al., 2003; Weems et al., 2004; Swarbreck et al., 2008, Lamesch, et al., 2010, Berardini et al., 2016). The TAIR database contains information about genes, proteins, gene expression, mutant phenotypes, germplasms, clones, genetic markers, genetic and physical maps, genome organization, publications, and the research community. In addition, seed and DNA stocks from the Arabidopsis Biological Resource Center (ABRC; Scholl et al., 2003) are integrated with genomic data, and can be ordered through TAIR. -
Saccharomyces Cerevisiae
letters to nature 19Department of Yeast Genetics, Institute of Molecular Medecine, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK The nucleotide sequence of 20L.N.C.I.B., Area Science Park, Padriciano 99, I-34012 Trieste, Italy 21GATC GmbH, Fitz-Arnold-Strasse 23, 78467 Konstanz, Germany Saccharomyces cerevisiae 22Carlsberg Laboratory, Gamle Carlsberg Vej 10, DK-2500 Copenhagen Valby, Denmark chromosome IV 23AGON GmbH, Glienicker Weg 185, D-12489 Berlin, Germany 24Katholieke Universiteit Leuven, Laboratory of Gene Technology, Willem de C. Jacq1, J. Alt-Mörbe2, B. Andre3, W. Arnold4, A. Bahr5, Croylaan, 42, B-3001 Leuven, Belgium J. P. G. Ballesta6, M. Bargues7, L. Baron8, A. Becker4, N. Biteau8, 25The Sanger Centre, Wellcome Trust Genome Campus, Hinxton, Cambridge H. Blöcker9, C. Blugeon1, J. Boskovic6, P. Brandt9, M. Brückner10 , CB10 1SA, UK M. J. Buitrago11 , F. Coster12, T. Delaveau1, F. del Rey11 , B. Dujon13, 26Department of Biochemistry, Stanford University, Beckman Center, Stanford L. G. Eide14, J. M. Garcia-Cantalejo6, A. Goffeau12, A. Gomez-Peris15, CA 94305-5307, USA C. Granotier8, V. Hanemann16, T. Hankeln5, J. D. Hoheisel17, W. Jäger9, 27The Genome Sequencing Center, Department of Genetics, Washington University, A. Jimenez6, J.-L. Jonniaux12, C. Krämer5, H. Küster4, P. Laamanen18, School of Medicine, 630 S. Euclid Avenue, St Louis, Missouri 63110, USA Y. Legros8, E. Louis19, S. Möller-Rieker5, A. Monnet8, M. Moro20, 28Martinsrieder Institut für Protein Sequenzen, Max-Planck-Institut für S. Müller-Auer10 , B. Nußbaumer4, N. Paricio7, L. Paulin18, J. Perea1, Biochemie, D-82152 Martinsried bei München, Germany. M. Perez-Alonso7, J. E. Perez-Ortin15, T. M. Pohl21, H. Prydz14, B. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Gene Ids Organism ATP Citrate Synthase Q3V117 Acly
Protein Families UniProtKB ID (from MudPIT) Gene IDs Organism ATP citrate synthase Q3V117 Acly Mus musculus (Mouse) Actin P68134, P60710, Q8BFZ3, P68033 Acta1, Actb, Actbl2, Actc1 Mus musculus (Mouse) Argonaute Q8CJG0 Ago2 Mus musculus (Mouse) Ahnak2 E9PYB0 Ahnak2 Mus musculus (Mouse) Adaptor Related Protein Q8CC13, Q8CBB7, Q3UHJ0, P17426, P17427, Ap1b1, Ap1g1, Aak1, Ap2a1, Ap2a2, Complex Q9DBG3, P84091, P62743, Q9Z1T1 Ap2b1, Ap2m1, Ap2s1 , Ap3b1 Mus musculus (Mouse) V-ATPase Q9Z1G4 Atp6v0a1 Mus musculus (Mouse) Bag3 Q9JLV1 Bag3 Mus musculus (Mouse) Bcr Q6PAJ1 Bcr Mus musculus (Mouse) Bmp Q91Z96 Bmp2k Mus musculus (Mouse) Calcoco Q8CGU1 Calcoco1 Mus musculus (Mouse) Ccdc D3YZP9 Ccdc6 Mus musculus (Mouse) Clint1 Q5SUH7 Clint1 Mus musculus (Mouse) Clathrin Q6IRU5, Q68FD5 Cltb, Cltc Mus musculus (Mouse) Alpha-crystallin P23927 Cryab Mus musculus (Mouse) Casein P19228, Q02862 Csn1s1, Csn1s2a Mus musculus (Mouse) Dab2 P98078 Dab2 Mus musculus (Mouse) Connecdenn Q8K382 Dennd1a Mus musculus (Mouse) Dynamin P39053, P39054 Dnm1, Dnm2 Mus musculus (Mouse) Dynein Q9JHU4 Dync1h1 Mus musculus (Mouse) Edc Q3UJB9 Edc4 Mus musculus (Mouse) Eef P58252 Eef2 Mus musculus (Mouse) Epsin Q80VP1, Q5NCM5 Epn1, Epn2 Mus musculus (Mouse) Eps P42567, Q60902 Eps15, Eps15l1 Mus musculus (Mouse) Fatty acid binding protein Q05816 Fabp5 Mus musculus (Mouse) Fatty Acid Synthase P19096 Fasn Mus musculus (Mouse) Fcho Q3UQN2 Fcho2 Mus musculus (Mouse) Fibrinogen A E9PV24 Fga Mus musculus (Mouse) Filamin A Q8BTM8 Flna Mus musculus (Mouse) Gak Q99KY4 Gak Mus musculus (Mouse) -
Comprehensive Analysis of CRISPR/Cas9-Mediated Mutagenesis in Arabidopsis Thaliana by Genome-Wide Sequencing
International Journal of Molecular Sciences Article Comprehensive Analysis of CRISPR/Cas9-Mediated Mutagenesis in Arabidopsis thaliana by Genome-Wide Sequencing Wenjie Xu 1,2 , Wei Fu 2, Pengyu Zhu 2, Zhihong Li 1, Chenguang Wang 2, Chaonan Wang 1,2, Yongjiang Zhang 2 and Shuifang Zhu 1,2,* 1 College of Plant Protection, China Agricultural University, Beijing 100193 China 2 Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China * Correspondence: [email protected] Received: 9 July 2019; Accepted: 21 August 2019; Published: 23 August 2019 Abstract: The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) system has been widely applied in functional genomics research and plant breeding. In contrast to the off-target studies of mammalian cells, there is little evidence for the common occurrence of off-target sites in plants and a great need exists for accurate detection of editing sites. Here, we summarized the precision of CRISPR/Cas9-mediated mutations for 281 targets and found that there is a preference for single nucleotide deletions/insertions and longer deletions starting from 40 nt upstream or ending at 30 nt downstream of the cleavage site, which suggested the candidate sequences for editing sites detection by whole-genome sequencing (WGS). We analyzed the on-/off-target sites of 6 CRISPR/Cas9-mediated Arabidopsis plants by the optimized method. The results showed that the on-target editing frequency ranged from 38.1% to 100%, and one off target at a frequency of 9.8%–97.3% cannot be prevented by increasing the specificity or reducing the expression level of the Cas9 enzyme.