Mutations in EID1 and LNK2 Caused Light-Conditional Clock Deceleration

Total Page:16

File Type:pdf, Size:1020Kb

Mutations in EID1 and LNK2 Caused Light-Conditional Clock Deceleration Mutations in EID1 and LNK2 caused light-conditional SEE COMMENTARY clock deceleration during tomato domestication Niels A. Müllera,b,1, Lei Zhanga,1,2, Maarten Koornneefa,c,3, and José M. Jiménez-Gómeza,d,3 aDepartment of Plant Breeding and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany; bThünen Institute of Forest Genetics, 22927 Grosshansdorf, Germany; cLaboratory of Genetics, Wageningen University, 6708 PB Wageningen, The Netherlands; and dInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, CNRS, Université Paris-Saclay, 78000 Versailles, France Contributed by Maarten Koornneef, April 26, 2018 (sent for review February 1, 2018; reviewed by C. Robertson McClung and Marcelo J. Yanovsky) Circadian period and phase of cultivated tomato (Solanum lyco- Solanum pimpinellifolium (wild tomato ancestor) recombinant persicum) were changed during domestication, likely adapting the inbred line (RIL) population and on the left by an introgression species to its new agricultural environments. Whereas the delayed present in BIL497, a backcross inbred line from a cultivated circadian phase is mainly caused by allelic variation of EID1, the tomato (cv. M82) x Solanum pennellii (wild tomato relative) genetic basis of the long circadian period has remained elusive. population (10, 12, 13) (Fig. 1A and SI Appendix, Fig. S1). Here we show that a partial deletion of the clock gene LNK2 is Analysis of expression profiles, polymorphisms, and functional responsible for the period lengthening in cultivated tomatoes. We descriptions of the 245 annotated genes within the region use resequencing data to phylogenetically classify hundreds of (Solyc01g068160 - Solyc01g080620) did not reveal any obvious tomato accessions and investigate the evolution of the eid1 and candidate gene, and we considered the possibility that the lnk2 mutations along successive domestication steps. We reveal causative gene is present only in the wild tomato species and signatures of selection across the genomic region of LNK2 and has been lost during domestication. We therefore devised a different patterns of fixation of the mutant alleles. Strikingly, method to identify such cases using the reference genome of the LNK2 and EID1 are both involved in light input to the circadian wild tomato relative S. pennellii (14) and transcriptome data from clock, indicating that domestication specifically targeted this input cultivated tomato, its wild ancestor S. pimpinellifolium,andS. pathway. In line with this, we show that the clock deceleration in pennellii (SI Appendix, SI Methods). We identified 11 genes that the cultivated tomato is light-dependent and requires the phyto- are at least partially deleted in cultivated tomato but present and chrome B1 photoreceptor. Such conditional variation in circadian expressed in both wild species (SI Appendix,TableS1). One of rhythms may be key for latitudinal adaptation in a variety of spe- these genes, Solyc01g068560/Sopen01g030520, is located within cies, including crop plants and livestock. the QTL region and shows a deletion of its middle five exons in cultivated tomato that leaves a severely truncated ORF annotated tomato | domestication | circadian rhythms | light signaling | phytochrome as unknown protein (Fig. 1 B and C). Strikingly, the full-length S. pennellii coding sequence unequivocally identified this gene as ircadian clocks are endogenous timekeepers crucial for an Coptimal synchronization of physiological processes with the Significance external environment (1, 2). Although circadian resonance, a clock period closely matched to the 24-h period of the Earth, Internal timekeepers, called circadian clocks, are prevalent in all enhances life span and fitness (3, 4), naturally occurring variation domains of life. Variation in circadian rhythms allows fine-tuning of in circadian rhythms, manifesting as periods deviating from 24 h, an organism to its specific environment. Here we show that a appears to be important for local adaptation. This apparent mutation in LNK2,inadditiontothealreadydescribedmutationin paradox can be found in various organisms (5). For example, EID1, was responsible for the deceleration of circadian rhythms in longer circadian periods seem advantageous at higher latitudes cultivated tomatoes. We show that the mutant alleles of both among natural accessions of Arabidopsis thaliana (6), Mimulus (7), genes arose in the earliest cultivated types and were selected or Drosophila (8, 9). Additionally, adaptive differentiation of cir- during the domestication process. Notably, both mutant alleles cadian rhythms is driven by human selection. Domestication- and specifically affect light input to the clock, leading to a light- breeding-associated variation has been reported for various crop conditional clock deceleration. Such light-conditionality may be a plants (7, 10, 11). In tomato, for example, two mutations led to a widespread means to enhance resonance with changed day–night clock deceleration, likely adapting the cultivated species to the long cycles at higher latitudes, despite the fixed 24-h period of the Earth. summer days it encountered as it was carried away from its equa- torial origin. One of these mutations, a single amino acid de- Author contributions: N.A.M., L.Z., M.K., and J.M.J.-G. designed research; N.A.M. and L.Z. PLANT BIOLOGY EID1 performed research; M.K. contributed new reagents/analytic tools; N.A.M. and J.M.J.-G. letion in , mainly delays the circadian phase, while the analyzed data; and N.A.M. and J.M.J.-G. wrote the paper. other one, not yet identified, primarily lengthens the circadian pe- Reviewers: C.R.M., Dartmouth College; and M.J.Y., Fundación Instituto Leloir. riod (10). Here we identify a near-complete deletion of LNK2 as The authors declare no conflict of interest. the period-lengthening mutation. We provide evidence that this mutation was selected during tomato domestication and reveal its Published under the PNAS license. eid1 Data deposition: The RNA-seq data have been deposited on the NCBI Sequence Read coevolution with . We further demon-strate that the pro- Archive, https://www.ncbi.nlm.nih.gov/sra [accession nos. SRP133995 (phyB mutants) nounced alteration of circadian rhythms in cultivated tomatoes is and SRP124605 (low-resolution light and dark time-courses)]. light-dependent and requires the photoreceptor PHYB1. See Commentary on page 6888. 1 Results N.A.M. and L.Z. contributed equally to this work. 2 LNK2 Present address: Institute of Plant Breeding, Genetics and Genomics, University of Georgia, A Near-Complete Deletion of Is Responsible for the Long Athens, GA 30602. Circadian Period in Cultivated Tomatoes. We previously identified 3To whom correspondence may be addressed. Email: [email protected] or jose. a single genomic region on chromosome 1 responsible for the [email protected]. circadian period lengthening in cultivated tomato (10). This re- This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10. gion is delimited on the right by the quantitative trait locus 1073/pnas.1801862115/-/DCSupplemental. (QTL) detected in a cultivated tomato (cv. Moneymaker) x Published online May 22, 2018. www.pnas.org/cgi/doi/10.1073/pnas.1801862115 PNAS | July 3, 2018 | vol. 115 | no. 27 | 7135–7140 Downloaded by guest on September 30, 2021 LOD score 0 1 2 3 4 5 6 7 8 9 10 A Fig. 1. LNK2 colocalizes with the circadian period 123456789101112 QTL and is partially deleted in cultivated tomato. (A) QTL analysis for circadian period in a S. pimpinelli- folium x S. lycopersicum cv. MM RIL population identified a single significant locus on chromosome 1 B (10). Logarithm of the odds (LOD) scores are given * for the 12 tomato chromosomes; the genome-wide 5% significance threshold is 2.9. An introgression 70.0 70.5 71.0 71.5 72.0 line with a precisely defined genomic fragment from Chromosome 1 (Mb) the wild tomato relative S. pennellii (indicated by a C Annotation Sopen01g030520.1 black bar) exhibited the same short-period pheno- type (SI Appendix, Fig. S1) and refined the left bor- Alignment der of the QTL. (B) The 245 genes annotated in the deleted in M82 tomato genome reference v2.4 present in the QTL re- conserved gion are depicted by black arrows; genes deleted in 200 cultivated tomato but present in S. pennellii are shown 100 S. lycopersicum cv M82 coverage 0 in red and marked by an asterisk. (C) From top to 200 bottom: gene model for LNK2 in the wild tomato spe- 100 S. pimpinellifolium coverage cies S. pennellii; graphical output of BLAST results 0 comparing the genomic sequence of S. pennellii and 200 100 S. pennellii cultivated tomato; and coverage plots of RNA-seq reads RNA-seq reads coverage 0 from cultivated tomato (red), S. pimpinellifolium (or- 87.730 87.735 87.740 87.745 ange), and S. pennellii (green), aligned to the S. pen- Chromosome 1 (Mb) nellii reference genome. the homolog of the Arabidopsis circadian clock gene NIGHT evolutionary trajectory of the eid1 and lnk2 mutations during do- LIGHT-INDUCIBLE AND CLOCK-REGULATED 2 (LNK2, mestication and breeding (Fig. 3A and Datasets S2 and S3). Both AT3G54500, SI Appendix,TableS2). The Arabidopsis lnk2 mutations were absent in the wild tomato species, including the wild mutant exhibits a long circadian period (15), suggesting that the ancestor S. pimpinellifolium. They first appeared at low frequencies LNK2 deletion of in cultivated tomato may be responsible for in the most ancient domesticated tomatoes, the Ecuadorian S. the clock deceleration. lycopersicum lnk2 var. cerasiforme accessions (17). However, while the Expression of the truncated transcript in tomato shows a eid1 robust diurnal oscillation with a peak at about 4 h after dawn, as mutation rose to near fixation already in the next step of described for the full-length homologs in Arabidopsis, poplar and rice (16) (SI Appendix,Fig.S2). This oscillation continues under circadian conditions, although with strong dampening in cultivated tomato, as reported for other clock-regulated genes (10) (SI Ap- A Slylnk2 pendix,Fig.S2).
Recommended publications
  • A Transcriptional Signature of Postmitotic Maintenance in Neural Tissues
    Neurobiology of Aging 74 (2019) 147e160 Contents lists available at ScienceDirect Neurobiology of Aging journal homepage: www.elsevier.com/locate/neuaging Postmitotic cell longevityeassociated genes: a transcriptional signature of postmitotic maintenance in neural tissues Atahualpa Castillo-Morales a,b, Jimena Monzón-Sandoval a,b, Araxi O. Urrutia b,c,*, Humberto Gutiérrez a,** a School of Life Sciences, University of Lincoln, Lincoln, UK b Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK c Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico article info abstract Article history: Different cell types have different postmitotic maintenance requirements. Nerve cells, however, are Received 11 April 2018 unique in this respect as they need to survive and preserve their functional complexity for the entire Received in revised form 3 October 2018 lifetime of the organism, and failure at any level of their supporting mechanisms leads to a wide range of Accepted 11 October 2018 neurodegenerative conditions. Whether these differences across tissues arise from the activation of Available online 19 October 2018 distinct cell typeespecific maintenance mechanisms or the differential activation of a common molecular repertoire is not known. To identify the transcriptional signature of postmitotic cellular longevity (PMCL), Keywords: we compared whole-genome transcriptome data from human tissues ranging in longevity from 120 days Neural maintenance Cell longevity to over 70 years and found a set of 81 genes whose expression levels are closely associated with Transcriptional signature increased cell longevity. Using expression data from 10 independent sources, we found that these genes Functional genomics are more highly coexpressed in longer-living tissues and are enriched in specific biological processes and transcription factor targets compared with randomly selected gene samples.
    [Show full text]
  • Nuclear Receptor Small Heterodimer Partner in Apoptosis Signaling and Liver Cancer
    Cancers 2011, 3, 198-212; doi:10.3390/cancers3010198 OPEN ACCESS cancers ISSN 2072-6694 www.mdpi.com/journal/cancers Review Nuclear Receptor Small Heterodimer Partner in Apoptosis Signaling and Liver Cancer Yuxia Zhang and Li Wang * Departments of Medicine and Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84132, USA * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: 801-587-4616; Fax: 801-585-0187. Received: 30 November 2010; in revised form: 30 December 2010 / Accepted: 4 January 2011 / Published: 5 January 2011 Abstract: Small heterodimer partner (SHP, NR0B2) is a unique orphan nuclear receptor that contains the dimerization and a putative ligand-binding domain, but lacks the conserved DNA binding domain. SHP exerts its physiological function as an inhibitor of gene transcription through physical interaction with multiple nuclear receptors and transcriptional factors. SHP is a critical transcriptional regulator affecting diverse biological functions, including bile acid, cholesterol and lipid metabolism, glucose and energy homeostasis, and reproductive biology. Recently, we and others have demonstrated that SHP is an epigenetically regulated transcriptional repressor that suppresses the development of liver cancer. In this review, we summarize recent major findings regarding the role of SHP in cell proliferation, apoptosis, and DNA methylation, and discuss recent progress in understanding the function of SHP as a tumor suppressor in the development of liver cancer. Future study will be focused on identifying SHP associated novel pro- oncogenes and anti-oncogenes in liver cancer progression and applying the knowledge gained on SHP in liver cancer prevention, diagnosis and treatment.
    [Show full text]
  • Peptidic Degron in EID1 Is Recognized by an SCF E3 Ligase Complex Containing the Orphan F-Box Protein FBXO21
    Peptidic degron in EID1 is recognized by an SCF E3 ligase complex containing the orphan F-box protein FBXO21 Cuiyan Zhanga, Xiaotong Lib, Guillaume Adelmantc,d,e, Jessica Dobbinsf,g, Christoph Geisena,h, Matthew G. Osera, Kai W. Wucherpfenningf,g, Jarrod A. Martoc,d,e, and William G. Kaelin Jr.a,h,1 aDepartment of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02215; bState Key Laboratory for Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; cDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215; dBlais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA 02215; eDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02215; fDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215; gDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, MA 02215; and hHoward Hughes Medical Institute, Chevy Chase, MD 20815 Contributed by William G. Kaelin Jr., November 9, 2015 (sent for review October 24, 2015; reviewed by Bruce E. Clurman and Joan W. Conaway) EP300-interacting inhibitor of differentiation 1 (EID1) belongs to a small heterodimer partner (SHP) [also called NR0B2 (nuclear protein family implicated in the control of transcription, differentia- receptor subfamily 0, group B, member 2)], which is a transcrip- tion, DNA repair, and chromosomal maintenance. EID1 has a very tional corepressor for various steroid hormone family transcription short half-life, especially in G0 cells. We discovered that EID1 contains factors (11–14). In cell-based models, overexpression of EID1 a peptidic, modular degron that is necessary and sufficient for its likewise represses transcription factors and blocks differentiation polyubiquitylation and proteasomal degradation.
    [Show full text]
  • Pnas11110correction 3895..3895
    Corrections BIOCHEMISTRY NEUROSCIENCE Correction for “Mechanism of ligand-gated potassium efflux in Correction for “Bioluminescence imaging of Aβ deposition in bi- bacterial pathogens,” by Tarmo P. Roosild, Samantha Castronovo, genic mouse models of Alzheimer’s disease,” by Joel C. Watts, Kurt Jess Healy, Samantha Miller, Christos Pliotas, Tim Rasmussen, Giles, Sunny K. Grillo, Azucena Lemus, Stephen J. DeArmond, Wendy Bartlett, Stuart J. Conway, and Ian R. Booth, which ap- and Stanley B. Prusiner, which appeared in issue 6, February 8, peared in issue 46, November 16, 2010, of Proc Natl Acad Sci USA 2011, of Proc Natl Acad Sci USA (108:2528–2533; first published (107:19784–19789; first published November 1, 2010; 10.1073/ January 24, 2011; 10.1073/pnas.1019034108). pnas.1012716107). The authors note that the following grant should be added to The undersigned authors wish to note, “The KefFC system of the Acknowledgments: “NIH Grant AG002132.” E. coli is maintained in an inactive state by the binding of glu- tathione (GSH) and is activated by the formation of GSH ad- www.pnas.org/cgi/doi/10.1073/pnas.1401579111 ducts (GSX), particularly those with bulky substituents. We described two crystal structures with density present in the li- gand-binding domain that we interpreted as GSH and GSX. Recently, an independent, experienced crystallographer, who had viewed the structures from our study in a different context, PHARMACOLOGY made representations to us that cast doubt on position of the Correction for “Structural insights into gene repression by the succinimido ring of GSX. We have further reviewed the density orphan nuclear receptor SHP,” by Xiaoyong Zhi, X.
    [Show full text]
  • Phenotype Informatics
    Freie Universit¨atBerlin Department of Mathematics and Computer Science Phenotype informatics: Network approaches towards understanding the diseasome Sebastian Kohler¨ Submitted on: 12th September 2012 Dissertation zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) am Fachbereich Mathematik und Informatik der Freien Universitat¨ Berlin ii 1. Gutachter Prof. Dr. Martin Vingron 2. Gutachter: Prof. Dr. Peter N. Robinson 3. Gutachter: Christopher J. Mungall, Ph.D. Tag der Disputation: 16.05.2013 Preface This thesis presents research work on novel computational approaches to investigate and characterise the association between genes and pheno- typic abnormalities. It demonstrates methods for organisation, integra- tion, and mining of phenotype data in the field of genetics, with special application to human genetics. Here I will describe the parts of this the- sis that have been published in peer-reviewed journals. Often in modern science different people from different institutions contribute to research projects. The same is true for this thesis, and thus I will itemise who was responsible for specific sub-projects. In chapter 2, a new method for associating genes to phenotypes by means of protein-protein-interaction networks is described. I present a strategy to organise disease data and show how this can be used to link diseases to the corresponding genes. I show that global network distance measure in interaction networks of proteins is well suited for investigat- ing genotype-phenotype associations. This work has been published in 2008 in the American Journal of Human Genetics. My contribution here was to plan the project, implement the software, and finally test and evaluate the method on human genetics data; the implementation part was done in close collaboration with Sebastian Bauer.
    [Show full text]
  • UNIVERSITY of CALIFORNIA, SAN DIEGO Measuring
    UNIVERSITY OF CALIFORNIA, SAN DIEGO Measuring and Correlating Blood and Brain Gene Expression Levels: Assays, Inbred Mouse Strain Comparisons, and Applications to Human Disease Assessment A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences by Mary Elizabeth Winn Committee in charge: Professor Nicholas J Schork, Chair Professor Gene Yeo, Co-Chair Professor Eric Courchesne Professor Ron Kuczenski Professor Sanford Shattil 2011 Copyright Mary Elizabeth Winn, 2011 All rights reserved. 2 The dissertation of Mary Elizabeth Winn is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2011 iii DEDICATION To my parents, Dennis E. Winn II and Ann M. Winn, to my siblings, Jessica A. Winn and Stephen J. Winn, and to all who have supported me throughout this journey. iv TABLE OF CONTENTS Signature Page iii Dedication iv Table of Contents v List of Figures viii List of Tables x Acknowledgements xiii Vita xvi Abstract of Dissertation xix Chapter 1 Introduction and Background 1 INTRODUCTION 2 Translational Genomics, Genome-wide Expression Analysis, and Biomarker Discovery 2 Neuropsychiatric Diseases, Tissue Accessibility and Blood-based Gene Expression 4 Mouse Models of Human Disease 5 Microarray Gene Expression Profiling and Globin Reduction 7 Finding and Accessible Surrogate Tissue for Neural Tissue 9 Genetic Background Effect Analysis 11 SPECIFIC AIMS 12 ENUMERATION OF CHAPTERS
    [Show full text]
  • ETV4 and ETV5 Drive Synovial Sarcoma Through Cell Cycle and DUX4 Embryonic Pathway Control
    ETV4 and ETV5 drive synovial sarcoma through cell cycle and DUX4 embryonic pathway control Joanna DeSalvo, … , Jonathan C. Trent, Josiane E. Eid J Clin Invest. 2021;131(13):e141908. https://doi.org/10.1172/JCI141908. Research Article Oncology Graphical abstract Find the latest version: https://jci.me/141908/pdf The Journal of Clinical Investigation RESEARCH ARTICLE ETV4 and ETV5 drive synovial sarcoma through cell cycle and DUX4 embryonic pathway control Joanna DeSalvo,1,2 Yuguang Ban,2,3 Luyuan Li,1,2 Xiaodian Sun,2 Zhijie Jiang,4 Darcy A. Kerr,5 Mahsa Khanlari,5 Maria Boulina,6 Mario R. Capecchi,7 Juha M. Partanen,8 Lin Chen,9 Tadashi Kondo,10 David M. Ornitz,11 Jonathan C. Trent,1,2 and Josiane E. Eid1,2 1Department of Medicine, Division of Medical Oncology, 2Sylvester Comprehensive Cancer Center, and 3Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA. 4University of Miami Center for Computational Science, Coral Gables, Florida, USA. 5Department of Pathology and 6Analytical Imaging Core Facility, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, Florida, USA. 7Department of Human Genetics, Howard Hughes Medical Institute, University of Utah, Salt Lake City, Utah, USA. 8Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland. 9Center of Bone Metabolism and Repair, Research Institute of Surgery, Daping Hospital, Army Medical University, Chongqing, China. 10Division of Rare Cancer Research, National Cancer Center Research Institute, Tokyo, Japan. 11Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri, USA. Synovial sarcoma is an aggressive malignancy with no effective treatments for patients with metastasis.
    [Show full text]
  • Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress
    University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations Fall 2010 Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Renuka Nayak University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Computational Biology Commons, and the Genomics Commons Recommended Citation Nayak, Renuka, "Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress" (2010). Publicly Accessible Penn Dissertations. 1559. https://repository.upenn.edu/edissertations/1559 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1559 For more information, please contact [email protected]. Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Abstract Genes interact in networks to orchestrate cellular processes. Here, we used coexpression networks based on natural variation in gene expression to study the functions and interactions of human genes. We asked how these networks change in response to stress. First, we studied human coexpression networks at baseline. We constructed networks by identifying correlations in expression levels of 8.9 million gene pairs in immortalized B cells from 295 individuals comprising three independent samples. The resulting networks allowed us to infer interactions between biological processes. We used the network to predict the functions of poorly-characterized human genes, and provided some experimental support. Examining genes implicated in disease, we found that IFIH1, a diabetes susceptibility gene, interacts with YES1, which affects glucose transport. Genes predisposing to the same diseases are clustered non-randomly in the network, suggesting that the network may be used to identify candidate genes that influence disease susceptibility.
    [Show full text]
  • ETV4/5 Drive Synovial Sarcoma Through Control of the Cell Cycle and the DUX4 Embryonic Pathway
    ETV4/5 drive synovial sarcoma through control of the cell cycle and the DUX4 embryonic pathway Joanna DeSalvo, … , Jonathan C. Trent, Josiane E. Eid J Clin Invest. 2021. https://doi.org/10.1172/JCI141908. Research In-Press Preview Oncology Graphical abstract Find the latest version: https://jci.me/141908/pdf Title: ETV4/5 drive synovial sarcoma through control of the cell cycle and the DUX4 embryonic pathway. Authors: Joanna DeSalvo1,2, Yuguang Ban2,3, Luyuan Li1,2, Xiaodian Sun2, Zhijie Jiang4, Darcy A Kerr5, Mahsa Khanlari5, Maria Boulina6, Mario R Capecchi7, Juha M Partanen8, Lin Chen9, Tadashi Kondo10, David M Ornitz11, Jonathan C Trent1,2, Josiane E Eid1,2 * Affiliations: 1- Department of Medicine, Division of Medical Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA. 2- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, USA. 3- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA. 4- University of Miami Center for Computational Science, 1320 South Dixie Highway, Coral Gables, FL 33146, USA. 5- Department of Pathology, University of Miami Miller School of Medicine, Miami, FL 33136, USA. 6- AICF, Diabetes Research Institute University of Miami Miller School of Medicine, Miami, FL 33136, USA. 7- Department of Human Genetics, Howard Hughes Medical Institute, University of Utah, 15 North 2030 East, Salt Lake City, UT 84112, USA. 8- Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 56, Viikinkaari 9, FIN-00014 Helsinki, Finland. 9- Center of Bone Metabolism and Repair, Research Institute of Surgery, Daping Hospital, Army Medical University, Chongqing, China.
    [Show full text]
  • F-Box Genes in the Wheat Genome and Expression Profiling in Wheat at Different Developmental Stages
    G C A T T A C G G C A T genes Article F-Box Genes in the Wheat Genome and Expression Profiling in Wheat at Different Developmental Stages Min Jeong Hong 1 , Jin-Baek Kim 1 , Yong Weon Seo 2 and Dae Yeon Kim 3,* 1 Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu, Jeongeup 56212, Korea; [email protected] (M.J.H.); [email protected] (J.-B.K.) 2 Division of Biotechnology, Korea University, 145 Anam-ro, Seongbuk-Gu, Seoul 02841, Korea; [email protected] 3 Institute of Animal Molecular Biotechnology, Korea University, 145 Anam-ro, Seongbuk-Gu, Seoul 02841, Korea * Correspondence: [email protected] Received: 21 July 2020; Accepted: 28 September 2020; Published: 30 September 2020 Abstract: Genes of the F-box family play specific roles in protein degradation by post-translational modification in several biological processes, including flowering, the regulation of circadian rhythms, photomorphogenesis, seed development, leaf senescence, and hormone signaling. F-box genes have not been previously investigated on a genome-wide scale; however, the establishment of the wheat (Triticum aestivum L.) reference genome sequence enabled a genome-based examination of the F-box genes to be conducted in the present study. In total, 1796 F-box genes were detected in the wheat genome and classified into various subgroups based on their functional C-terminal domain. The F-box genes were distributed among 21 chromosomes and most showed high sequence homology with F-box genes located on the homoeologous chromosomes because of allohexaploidy in the wheat genome.
    [Show full text]
  • Day 1 Abstracts Day 1: Tuesday May 4, 2021
    Virtual symposium celebrating the 50th anniversary of the Protein Data Bank May 4–5, 2021 Day 1 Abstracts Day 1: Tuesday May 4, 2021 POSTER SESSION 1…………………………..Page 1 1:00pm-1:40pm EDT POSTER SESSION 2…………………………..Page 50 1:40pm-2:20pm EDT POSTER SESSION 3…………………………..Page 101 2:20pm-3:00pm EDT Tuesday May 4, 2021 PS1 1:00pm-1:40pm EDT | Page 2 POSTER SESSION 1 Tuesday May 4, 2021 1:00pm-1:40pm EDT Identification of GntR/HutC Transcriptional Regulator MoyR from Mycobacterium tuberculosis that responds to monovalent cations in DNA binding and Oligomerization 6 Thanusha D. Abeywickrama1, Inoka C. Perera1 6 The investigation of evolutionary events leading to substrate diversification in type I GPAs by the use of ancestral sequence reconstruction 7 Mathias H. Hansen1, Max Cryle1 7 Structure-based drug repositioning exploiting PLIP interaction patterns uncovered known drugs as novel treatments for Chagas disease 8 Melissa F. Adasme1, Sarah Naomi Bolz1, Lauren Adelmann1, Sebastian Salentin1, V. Joachim Haupt1, Adriana Moreno-Rodríguez2, Benjamín Nogueda-Torres3, Verónica Castillo-Campos3, Lilián Yepes-Mulia4, José A. De Fuentes-Vicente5, Guildardo Rivera6, Michael Schroeder1 8 Structure of Enterohemorrhagic Escherichia coli O157:H7 Intimin Virulence Factor Bound to Nanobodies 9 Angham M. Ahmed1, Cory L. Brooks1 9 Understanding SARS-CoV-2 Protein Evolution in 3D During the COVID-19 Pandemic: ORF7a10 Luz H. Alfaro1, Thejasvi Venkatachalam2, Helen Zheng5, Elliott Dolan2, Changpeng Lu2, Vidur Sarma2, Zhuofan Shen2, Maria Szegedy2, Lingjun Xie2, Christine Zardecki3, Sagar Khare2, Stephen K. Burley3 10 Crystal Structures of KPC-2 β-Lactamase in Complex with Triazolyl Boronic Acid Transition State Inhibitors 11 Tahani A.
    [Show full text]
  • Genome-Wide DNA Methylation Profiling Reveals Novel Epigenetically Regulated Genes and Non-Coding Rnas in Human Testicular Cancer
    British Journal of Cancer (2010) 102, 419 – 427 & 2010 Cancer Research UK All rights reserved 0007 – 0920/10 $32.00 www.bjcancer.com Genome-wide DNA methylation profiling reveals novel epigenetically regulated genes and non-coding RNAs in human testicular cancer 1,2,3 1,3 1 1 1 *,1,2 HH Cheung , TL Lee , AJ Davis , DH Taft , OM Rennert and WY Chan 1 Laboratory of Clinical Genomics, Section on Developmental Genomics, Eunice Kennedy Shriver National Institute of Child Health and Human 2 Development, National Institutes of Health, Bethesda, MD 20892, USA; School of Biomedical Sciences, the Chinese University of Hong Kong, H.K.S.A.R., China BACKGROUND: Testicular germ cell tumour (TGCT) is the most common malignant tumour in young males. Although aberrant DNA methylation is implicated in the pathophysiology of many cancers, only a limited number of genes are known to be epigenetically changed in TGCT. This report documents the genome-wide analysis of differential methylation in an in vitro model culture system. Interesting genes were validated in TGCT patient samples. METHODS: In this study, we used methylated DNA immunoprecipitation (MeDIP) and whole-genome tiling arrays to identify differentially methylated regions (DMRs). RESULTS: We identified 35 208 DMRs. However, only a small number of DMRs mapped to promoters. A genome-wide analysis of gene expression revealed a group of differentially expressed genes that were regulated by DNA methylation. We identified several candidate genes, including APOLD1, PCDH10 and RGAG1, which were dysregulated in TGCT patient samples. Surprisingly, APOLD1 had previously been mapped to the TGCT susceptibility locus at 12p13.1, suggesting that it may be important in TGCT pathogenesis.
    [Show full text]