Genome Sequence of the Progenitor of the Wheat D Genome Aegilops Tauschii Ming-Cheng Luo1*, Yong Q
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Taxonomy, Morphology and Palynology of Aegilops Vavilovii (Zhuk.) Chennav
African Journal of Agricultural Research Vol. 5(20), pp. 2841-2849, 18 October, 2010 Available online at http://www.academicjournals.org/AJAR ISSN 1991-637X ©2010 Academic Journals Full Length Research Paper Taxonomy, morphology and palynology of Aegilops vavilovii (Zhuk.) Chennav. (Poaceae: Triticeae) Evren Cabi1* Musa Doan1 Hülya Özler2, Galip Akaydin3 and Alptekin Karagöz4 1Department of Biological Sciences, Faculty of Arts and Sciences, Middle East Technical University, Ankara, Turkey. 2Department of Biology, Faculty of Arts and Sciences, Sinop University, Sinop Turkey. 3Department of Biology Education, Hacettepe University, 06800 Ankara, Turkey. 4Department of Biology, Aksaray University, Aksaray, Turkey. Accepted 23 September, 2010 Aegilops vavilovii (Zhuk.) Chennav., a rare species, was collected from Southeast Anatolia, Turkey. During the field studies of the project “Taxonomic revision of Tribe Triticeae in Turkey”, Ae. vavilovii was accidentally recollected from three localities in anliurfa and Mardin provinces in 2007 and 2008, respectively. The main objective of this study is to shed light on the diagnostic characteristics of this rare species including its morphological, palynological and micro morphological features. Moreover, an emended and expanded description, distribution, phenology and ecology of this rare species are also provided. A. vavilovii and A. crassa are naturally found in the Southeastern part of Turkey and they share similar morphological features that caused a confused taxonomy. Pollen grains of A. vavilovii are heteropolar, monoporate and spheroidal (A/B: 1,13) typically as Poaceous. However, it generally, prefers clayish loam soils that are slightly alkaline (pH 7.7) with low organic content (1.54%). Although it is a rare species with very narrow area of distribution, very few samples have been represented in ex situ collections and the species has not been involved in any in situ conservation activities to save its genetic resources in Turkey. -
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. -
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. -
Targeting MYCN in Neuroblastoma by BET Bromodomain Inhibition
Published OnlineFirst February 21, 2013; DOI: 10.1158/2159-8290.CD-12-0418 RESEARCH ARTICLE Targeting MYCN in Neuroblastoma by BET Bromodomain Inhibition Alexandre Puissant1,3, Stacey M. Frumm1,3, Gabriela Alexe1,3,5,6, Christopher F. Bassil1,3, Jun Qi2, Yvan H. Chanthery8, Erin A. Nekritz8, Rhamy Zeid2, William Clay Gustafson8, Patricia Greninger7, Matthew J. Garnett10, Ultan McDermott10, Cyril H. Benes7, Andrew L. Kung1,3, William A. Weiss8,9, James E. Bradner2,4, and Kimberly Stegmaier1,3,6 Downloaded from cancerdiscovery.aacrjournals.org on October 2, 2021. © 2013 American Association for Cancer Research. 15-CD-12-0418_p308-323.indd 1 22/02/13 12:15 AM Published OnlineFirst February 21, 2013; DOI: 10.1158/2159-8290.CD-12-0418 A BSTRACT Bromodomain inhibition comprises a promising therapeutic strategy in cancer, particularly for hematologic malignancies. To date, however, genomic biomarkers to direct clinical translation have been lacking. We conducted a cell-based screen of genetically defined cancer cell lines using a prototypical inhibitor of BET bromodomains. Integration of genetic features with chemosensitivity data revealed a robust correlation between MYCN amplification and sensitivity to bromodomain inhibition. We characterized the mechanistic and translational significance of this finding in neuroblastoma, a childhood cancer with frequent amplification of MYCN. Genome-wide expression analysis showed downregulation of the MYCN transcriptional program accompanied by suppression of MYCN transcription. Functionally, bromodomain-mediated inhibition of MYCN impaired growth and induced apoptosis in neuroblastoma. BRD4 knockdown phenocopied these effects, establishing BET bromodomains as transcriptional regulators of MYCN. BET inhibition conferred a significant survival advantage in 3 in vivo neuroblastoma models, providing a compelling rationale for developing BET bro- modomain inhibitors in patients with neuroblastoma. -
Improved Maize Reference Genome with Single-Molecule Technologies Yinping Jiao1, Paul Peluso2, Jinghua Shi3, Tiffany Liang3, Michelle C
OPEN LETTER doi:10.1038/nature22971 Improved maize reference genome with single-molecule technologies Yinping Jiao1, Paul Peluso2, Jinghua Shi3, Tiffany Liang3, Michelle C. Stitzer4, Bo Wang1, Michael S. Campbell1, Joshua C. Stein1, Xuehong Wei1, Chen-Shan Chin2, Katherine Guill5, Michael Regulski1, Sunita Kumari1, Andrew Olson1, Jonathan Gent6, Kevin L. Schneider7, Thomas K. Wolfgruber7, Michael R. May8, Nathan M. Springer9, Eric Antoniou1, W. Richard McCombie1, Gernot G. Presting7, Michael McMullen5, Jeffrey Ross-Ibarra10, R. Kelly Dawe6, Alex Hastie3, David R. Rank2 & Doreen Ware1,11 Complete and accurate reference genomes and annotations provide research, which will enable increases in yield to feed the growing world fundamental tools for characterization of genetic and functional population. The current assembly of the maize genome, based on variation1. These resources facilitate the determination of biological Sanger sequencing, was first published in 2009 (ref. 3). Although this processes and support translation of research findings into initial reference enabled rapid progress in maize genomics1, the origi- improved and sustainable agricultural technologies. Many reference nal assembly is composed of more than 100,000 small contigs, many genomes for crop plants have been generated over the past decade, of which are arbitrarily ordered and oriented, markedly complicating but these genomes are often fragmented and missing complex detailed analysis of individual loci6 and impeding investigation of inter- repeat regions2. Here we report the assembly and annotation of a genic regions crucial to our understanding of phenotypic variation7,8 reference genome of maize, a genetic and agricultural model species, and genome evolution9,10. using single-molecule real-time sequencing and high-resolution Here we report a vastly improved de novo assembly and annotation optical mapping. -
Bioinformatics Integrated Analysis to Investigate Candidate Biomarkers and Associated Metabolites in Osteosarcoma
Wang et al. Journal of Orthopaedic Surgery and Research (2021) 16:432 https://doi.org/10.1186/s13018-021-02578-0 RESEARCH ARTICLE Open Access Bioinformatics integrated analysis to investigate candidate biomarkers and associated metabolites in osteosarcoma Jun Wang, Mingzhi Gong, Zhenggang Xiong, Yangyang Zhao and Deguo Xing* Abstract Background: This study hoped to explore the potential biomarkers and associated metabolites during osteosarcoma (OS) progression based on bioinformatics integrated analysis. Methods: Gene expression profiles of GSE28424, including 19 human OS cell lines (OS group) and 4 human normal long bone tissue samples (control group), were downloaded. The differentially expressed genes (DEGs) in OS vs. control were investigated. The enrichment investigation was performed based on DEGs, followed by protein–protein interaction network analysis. Then, the feature genes associated with OS were explored, followed by survival analysis to reveal prognostic genes. The qRT-PCR assay was performed to test the expression of these genes. Finally, the OS- associated metabolites and disease-metabolic network were further investigated. Results: Totally, 357 DEGs were revealed between the OS vs. control groups. These DEGs, such as CXCL12, were mainly involved in functions like leukocyte migration. Then, totally, 38 feature genes were explored, of which 8 genes showed significant associations with the survival of patients. High expression of CXCL12, CEBPA, SPARCL1, CAT, TUBA1A, and ALDH1A1 was associated with longer survival time, while high expression of CFLAR and STC2 was associated with poor survival. Finally, a disease-metabolic network was constructed with 25 nodes including two disease-associated metabolites cyclophosphamide and bisphenol A (BPA). BPA showed interactions with multiple prognosis-related genes, such as CXCL12 and STC2. -
Phytosiderophore Release in Aegilops Tauschii and Triticum Species Under Zinc and Iron Deficiencies
Journal of Experimental Botany, Vol. 52, No. 358, pp. 1093±1099, May 2001 Phytosiderophore release in Aegilops tauschii and Triticum species under zinc and iron deficiencies I. Tolay1, B. Erenoglu1,2,V.RoÈ mheld2, H.J. Braun3 and I. Cakmak4,5 1 Cukurova University, Department of Soil Science and Plant Nutrition, 01330 Adana, Turkey 2 UniversitaÈ t Hohenheim, Institut fuÈ r PflanzenernaÈ hrung %330), 70593 Stuttgart, Germany 3 CIMMYT, POB 39, Emek 06511, Ankara, Turkey 4 Sabanci University, Faculty of Engineering and Natural Sciences, 81474 Tuzla, Istanbul, Turkey Received 2 August 2000; Accepted 27 November 2000 Abstract of PS release was around 14 mmol *30 plants)À1 *3 h)À1. Diploid wheats and Ae. tauschii accessions Using three diploid *Triticum monococcum, AA), behaved similarly in their capacity to release PS three tetraploid *Triticum turgidum, BBAA), two hexa- and intermediate between tetraploid and hexa- ploid *Triticum aestivum and Triticum compactum, ploid wheats regarding the PS release capacity. All BBAADD) wheats and two Aegilops tauschii *DD) Triticum and Aegilops species released more PS genotypes, experiments were carried out under under Fe than Zn deficiency, particularly when the controlled environmental conditions in nutrient solu- rate of PS release was expressed per unit dry weight tion *i) to study the relationships between the rates of roots. On average, the rates of PS release under Fe of phytosiderophore *PS) release from the roots and deficiency were 3.0, 5.7, 8.4, and 16 mmol *30 plants)À1 the tolerance of diploid, tetraploid, and hexaploid *3 h)À1 for Ae. tauschii, diploid, tetraploid and wheats and Ae. -
Apis Mellifera)
COMPUTATIONAL ANALYSIS OF DIFFICULT-TO-PREDICT GENES AND DETECTION OF LINEAGE-SPECIFIC GENES IN HONEY BEE (APIS MELLIFERA) A Dissertation submitted to the Faculty of the Graduate School of Arts and Sciences of Georgetown University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biology. By Anna K. Bennett, M.S. Washington, DC July 29, 2013 Copyright 2013 by Anna K. Bennett All Rights Reserved ii COMPUTATIONAL ANALYSIS OF DIFFICULT-TO-PREDICT GENES AND DETECTION OF LINEAGE-SPECIFIC GENES IN HONEY BEE (APIS MELLIFERA) Anna K. Bennett, M.S. Thesis Advisor: Christine G. Elsik, Ph.D. ABSTRACT Honey bees are key agricultural pollinators and a research model for social behavior and the evolution of eusociality. Generation of reliable gene predictions is critical to the success of laboratory experiments and comparative analyses for sequenced genomes. The honey bee genome, published in 2006 by the Honey Bee Genome Sequencing Consortium, had fewer predicted genes than expected, partially due to a lack of transcriptome data and protein homologs from closely related species. As part of ongoing Consortium efforts, genomes of two closely related taxa were sequenced, dwarf honey bee (Apis florea) and buff-tailed bumble bee (Bombus terrestris), the draft A. mellifera genome was improved with additional sequence, and multiple A. mellifera tissue transcriptomes were sequenced. The Consortium predicted genes using seven methods and used these data to produce an improved official gene set (OGSv3.2) with ~5000 more protein-coding genes than the first set (OGSv1.0). We present our approach to detect previously unknown genes in A. -
Molecular Phylogeny of the Genus Triticum L
Comparative and evolutionary genomics and proteomics 147 Chapter # MOLECULAR PHYLOGENY OF THE GENUS TRITICUM L. Golovnina K.1, Glushkov S.*1, Blinov A.1, Mayorov V.2, Adkison L.2 , Goncharov N.1 1 Institute of Cytology and Genetics, SB RAS, Novosibirsk, 630090, Russia; 2 Mercer University School of Medicine, Macon, USA * Corresponding author: e-mail: [email protected] Key words: wheat, Aegilops, molecular evolution, plasmon and B genome inheritance SUMMARY Motivation: The genus Triticum L. includes the major cereal crop, common or bread wheat (hexaploid Triticum aestivum L.), and other important cultivated species. Wheat has emerged as a classic polyploid model and a significant role of polyploidy as a widespread evolutionary strategy in angiosperms is known. Research on wheat phylogeny has contributed to the understanding of this important phenomenon, but there are still discrepancies and deficiencies in information. Results: Here, we conducted a phylogenetic analysis of all known wheat species and the closely related Aegilops species. This analysis was based on chloroplast matK gene comparison along with trnL intron sequences of some species. Polyploid wheat species are successfully divided only into two groups – Emmer (Dicoccoides and Triticum sections) and Timopheevii (Timopheevii section). Results reveal a strictly maternal plastid inheritance of all synthetic wheat amphyploids included in the study. Moreover, a concordance of chloroplast origin with the definite nuclear genomes of polyploid species that were inherited at the last hybridization events was found. This fact allows the most probable donor of the certain nuclear genome and plasmon at the same time to be determined. This suggests that there were two ancestor representatives of Aegilops speltoides that participated in the speciation of polyploid wheats with B and G genome in their genome composition. -
Genome-Wide Analysis of Admixture and Adaptation in the Africanized Honeybee
Nelson, R. M., Wallberg, A., Simões, Z. L. P., Lawson, D. J., & Webster, M. T. (2017). Genome-wide analysis of admixture and adaptation in the Africanized honeybee. Molecular Ecology, 26(14), 3603-3617. https://doi.org/10.1111/mec.14122 Peer reviewed version License (if available): CC BY-NC Link to published version (if available): 10.1111/mec.14122 Link to publication record in Explore Bristol Research PDF-document This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Wiley at https://onlinelibrary.wiley.com/doi/abs/10.1111/mec.14122 . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ Genome-wide analysis of admixture and adaptation in the Africanized honeybee Ronald M. Nelson1, Andreas Wallberg1, Zilá Luz Paulino Simões2, Daniel J. Lawson3, Matthew T. Webster1* 1. Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. 2. Department of Biology, University of São Paulo, São Paulo, Brazil. 3. Department of Mathematics, University of Bristol, Bristol, United Kingdom. Keywords: Africanized honeybee, admixture, introgression, adaptation, biological invasion, natural selection *[email protected] Running title: Adaptation in Africanized honeybees 1 Abstract Genetic exchange by hybridization or admixture can make an important contribution to evolution, and introgression of favourable alleles can facilitate adaptation to new environments. -
Resistance in Bread Wheat (Triticum Aestivum L.) Accession Citr 2401
Genetics of Russian wheat aphid (Diuraphis noxia) resistance in bread wheat (Triticum aestivum L.) accession CItr 2401 By THANDEKA NOKUTHULA SIKHAKHANE Submitted in accordance with the requirements for the degree of MASTER OF SCIENCE in the subject LIFE SCIENCES at the UNIVERSITY OF SOUTH AFRICA SUPERVISOR : Prof T.J. Tsilo CO-SUPERVISOR : Dr V.L. Tolmay JANUARY 2017 DECLARATION Name: ______________________________________________________ Student number: ______________________________________________________ Degree: ______________________________________________________ Exact wording of the title of the dissertation or thesis as appearing on the copies submitted for examination: Genetics of Russian wheat aphid (Diuraphis noxia) resistance in bread wheat (Triticum aestivum L.) accession CItr 2401 I declare that the above dissertation/thesis is my own work and that all the sources that I have used or quoted have been indicated and acknowledged by means of complete references. ________________________ _____________________ SIGNATURE DATE STUDENT NUMBER: 57652538 i ACKNOWLEDGEMENTS I would like to extend my sincere appreciation and gratitude to: My supervisors, Prof Toi Tsilo and Dr Vicki Tolmay for always being there for me whenever I required assistance, for teaching and grooming me, The Agricultural Research Council and the National Research Foundation for funding, Dr Astrid Jankielsohn, for all the RWA information she shared with me and her images and figures she allowed me to use, Dr Scott Sydenham, for all the molecular study information, -
ITCHGRASS (Rottboellia Cochinchinensis) from COSTA RICA1
Molecular basis for resistance to fluazifop-P-butyl in itchgrass ... 143 MOLECULAR BASIS FOR RESISTANCE TO FLUAZIFOP-P-BUTYL IN ITCHGRASS (Rottboellia cochinchinensis) FROM COSTA RICA1 Base Molecular para Resistência a Fluazifop-P-Butyl em Capim-Camalote (Rottboellia cochinchinensis) da Costa Rica CASTILLO-MATAMOROS, R.2, BRENES-ANGULO, A.2, HERRERA-MURILLO, F.3, and GÓMEZ-ALPÍZAR. L.2 ABSTRACT - Rottboellia cochinchinensis is an annual grass weed species known as itchgrass, or “caminadora” in America´s Spanish speaking countries, and has become a major and troublesome weed in several crops. The application of fluazifop-P-butyl at recommended rates (125 g a.i. ha-1) was observed to be failing to control itchgrass in a field in San José, Upala county, Alajuela province, Costa Rica. Plants from the putative resistant R. cochinchinensis population survived fluazifop-P-butyl when treated with 250 g a.i. ha-1 (2X label rate) at the three- to four-leaf stage under greenhouse conditions. PCR amplification and sequencing of partial carboxyl transferase domain (CT) of the acetyl-CoA carboxylase (ACCase) gene were used to determine the molecular mechanism of resistance. A single non-synonymous point mutation from TGG (susceptible plants) to TGC (putative resistant plants) that leads to a Trp-2027-Cys substitution was found. This Trp-2027-Cys mutation is known to confer resistance to all aryloxyphenoxyproprionate (APP) herbicides to which fluazifop-P-butyl belongs. To the best of our knowledge, this is the first report of fluazifop-P-butyl resistance and a mutation at position 2027 for a Costa Rican R. cochinchinensis population.