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For: Catoni M, Miozzi L, Fiorilli V, Lanfranco L, Accotto GP. Comparative analysis of expression profiles in shoots and roots of tomato systemically infected by Tomato spotted wilt virus reveals organ-specific transcriptional responses. Mol Plant Microbe Interact 2009;22:1504-13. [PMID: 19888816 DOI: 10.1094/mpmi-22-12-1504] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]

For:	Catoni M, Miozzi L, Fiorilli V, Lanfranco L, Accotto GP. Comparative analysis of expression profiles in shoots and roots of tomato systemically infected by Tomato spotted wilt virus reveals organ-specific transcriptional responses. Mol Plant Microbe Interact 2009;22:1504-13. [PMID: 19888816 DOI: 10.1094/mpmi-22-12-1504] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]

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Cited by Other Article(s)

Chen YJ, Catto MA, Pandey S, Leal-Bertioli S, Abney M, Hunt BG, Bag S, Culbreath A, Srinivasan R. Characterization of gene expression patterns in response to an orthotospovirus infection between two diploid peanut species and their hybrid. FRONTIERS IN PLANT SCIENCE 2023;14:1270531. [PMID: 38034554 PMCID: PMC10683084 DOI: 10.3389/fpls.2023.1270531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 10/11/2023] [Indexed: 12/02/2023]

Lv J, Deng M, Jiang S, Zhu H, Li Z, Wang Z, Li J, Yang Z, Yue Y, Xu J, Zhao K. Mapping and functional characterization of the tomato spotted wilt virus resistance gene SlCHS3 in Solanum lycopersicum. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022;42:55. [PMID: 37313421 PMCID: PMC10248591 DOI: 10.1007/s11032-022-01325-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]

Hufsky F, Abecasis A, Agudelo-Romero P, Bletsa M, Brown K, Claus C, Deinhardt-Emmer S, Deng L, Friedel CC, Gismondi MI, Kostaki EG, Kühnert D, Kulkarni-Kale U, Metzner KJ, Meyer IM, Miozzi L, Nishimura L, Paraskevopoulou S, Pérez-Cataluña A, Rahlff J, Thomson E, Tumescheit C, van der Hoek L, Van Espen L, Vandamme AM, Zaheri M, Zuckerman N, Marz M. Women in the European Virus Bioinformatics Center. Viruses 2022;14:1522. [PMID: 35891501 PMCID: PMC9319252 DOI: 10.3390/v14071522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 02/01/2023] Open

Affiliation(s)

Franziska Hufsky European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany
Ana Abecasis European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Global Health and Tropical Medicine, Institute of Hygiene and Tropical Medicine, New University of Lisbon, 1349-008 Lisbon, Portugal
Patricia Agudelo-Romero European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Wal-Yan Respiratory Research Centre, Telethon Kids Institute, University of Western Australia, Nedlands, WA 6009, Australia
Magda Bletsa European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium
Katherine Brown European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Division of Virology, Department of Pathology, University of Cambridge, Cambridge CB2 1TN, UK
Claudia Claus European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Institute of Medical Microbiology and Virology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany
Stefanie Deinhardt-Emmer European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Institute of Medical Microbiology, Jena University Hospital, 07747 Jena, Germany
Li Deng European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Institute of Virology, Helmholtz Centre Munich-German Research Center for Environmental Health, 85764 Neuherberg, Germany Microbial Disease Prevention, School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
Caroline C. Friedel European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Institute of Informatics, Ludwig-Maximilians-Universität München, 80333 Munich, Germany
María Inés Gismondi European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Institute of Agrobiotechnology and Molecular Biology (IABIMO), National Institute for Agriculture Technology (INTA), National Research Council (CONICET), Hurlingham B1686IGC, Argentina Department of Basic Sciences, National University of Luján, Luján B6702MZP, Argentina
Evangelia Georgia Kostaki European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece
Denise Kühnert European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Transmission, Infection, Diversification and Evolution Group, Max Planck Institute for the Science of Human History, 07745 Jena, Germany
Urmila Kulkarni-Kale European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Bioinformatics Centre, Savitribai Phule Pune University, Pune 411007, India
Karin J. Metzner European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
Irmtraud M. Meyer European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 10115 Berlin, Germany Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, 14195 Berlin, Germany Faculty of Mathematics and Computer Science, Freie Universität Berlin, 14195 Berlin, Germany
Laura Miozzi European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Institute for Sustainable Plant Protection, National Research Council of Italy, 10135 Torino, Italy
Luca Nishimura European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
Sofia Paraskevopoulou European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Methods Development and Research Infrastructure, Bioinformatics and Systems Biology, Robert Koch Institute, 13353 Berlin, Germany
Alba Pérez-Cataluña European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
Janina Rahlff European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Department of Biology and Environmental Science, Linneaus University, 391 82 Kalmar, Sweden
Emma Thomson European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow G51 4TF, UK MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
Charlotte Tumescheit European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) School of Biological Sciences, Seoul National University, Seoul 08826, Korea
Lia van der Hoek European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, 1012 WX Amsterdam, The Netherlands Amsterdam Institute for Infection and Immunity, 1100 DD Amsterdam, The Netherlands
Lore Van Espen European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium
Anne-Mieke Vandamme European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, 1349-008 Lisbon, Portugal Institute for the Future, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium
Maryam Zaheri European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
Neta Zuckerman European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) Central Virology Laboratory, Public Health Services, Ministry of Health and Sheba Medical Center, Ramat Gan 52621, Israel
Manja Marz European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.) RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany

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Cook J, Douglas GM, Zhang J, Glick BR, Langille MGI, Liu KH, Cheng Z. Transcriptomic profiling of Brassica napus responses to Pseudomonas aeruginosa. Innate Immun 2020;27:143-157. [PMID: 33353474 PMCID: PMC7882811 DOI: 10.1177/1753425920980512] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open

Nachappa P, Challacombe J, Margolies DC, Nechols JR, Whitfield AE, Rotenberg D. Tomato Spotted Wilt Virus Benefits Its Thrips Vector by Modulating Metabolic and Plant Defense Pathways in Tomato. FRONTIERS IN PLANT SCIENCE 2020;11:575564. [PMID: 33424878 PMCID: PMC7793759 DOI: 10.3389/fpls.2020.575564] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/22/2020] [Indexed: 05/31/2023]

Abstract

Several plant viruses modulate vector fitness and behavior in ways that may enhance virus transmission. Previous studies have documented indirect, plant-mediated effects of tomato spotted wilt virus (TSWV) infection on the fecundity, growth and survival of its principal thrips vector, Frankliniella occidentalis, the western flower thrips. We conducted thrips performance and preference experiments combined with plant gene expression, phytohormone and total free amino acid analyses to determine if systemically-infected tomato plants modulate primary metabolic and defense-related pathways to culminate into a more favorable environment for the vector. In a greenhouse setting, we documented a significant increase in the number of offspring produced by F. occidentalis on TSWV-infected tomato plants compared to mock-inoculated plants, and in choice test assays, females exhibited enhanced settling on TSWV-infected leaves. Microarray analysis combined with phytohormone signaling pathway analysis revealed reciprocal modulation of key phytohormone pathways under dual attack, possibly indicating a coordinated and dampening defense against the vector on infected plants. TSWV infection, alone or in combination with thrips, suppressed genes associated with photosynthesis and chloroplast function thereby significantly impacting primary metabolism of the host plant, and hierarchical cluster and network analyses revealed that many of these genes were co-regulated with phytohormone defense signaling genes. TSWV infection increased expression of genes related to protein synthesis and degradation which was reflected in the increased total free amino acid content in virus-infected plants that harbored higher thrips populations. These results suggest coordinated gene networks that regulate plant primary metabolism and defense responses rendering virus-infected plants more conducive for vector colonization, an outcome that is potentially beneficial to the vector and the virus when considered within the context of the complex transmission biology of TSWV. To our knowledge this is the first study to identify global transcriptional networks that underlie the TSWV-thrips interaction as compared to a single mechanistic approach. Findings of this study increase our fundamental knowledge of host plant-virus-vector interactions and identifies underlying mechanisms of induced host susceptibility to the insect vector.

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Kumar G, Dasgupta I. Comprehensive molecular insights into the stress response dynamics of rice (Oryza sativa L.) during rice tungro disease by RNA-seq-based comparative whole transcriptome analysis. J Biosci 2020. [DOI: 10.1007/s12038-020-9996-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]

Xu M, Chen J, Huang Y, Shen D, Sun P, Xu Y, Tao X. Dynamic Transcriptional Profiles of Arabidopsis thaliana Infected by Tomato spotted wilt virus. PHYTOPATHOLOGY 2020;110:153-163. [PMID: 31544594 DOI: 10.1094/phyto-06-19-0199-fi] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]

Góra-Sochacka A, Więsyk A, Fogtman A, Lirski M, Zagórski-Ostoja W. Root Transcriptomic Analysis Reveals Global Changes Induced by Systemic Infection of Solanum lycopersicum with Mild and Severe Variants of Potato Spindle Tuber Viroid. Viruses 2019;11:v11110992. [PMID: 31671783 PMCID: PMC6893655 DOI: 10.3390/v11110992] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 10/24/2019] [Accepted: 10/26/2019] [Indexed: 12/11/2022] Open

Mandrile L, Rotunno S, Miozzi L, Vaira AM, Giovannozzi AM, Rossi AM, Noris E. Nondestructive Raman Spectroscopy as a Tool for Early Detection and Discrimination of the Infection of Tomato Plants by Two Economically Important Viruses. Anal Chem 2019;91:9025-9031. [PMID: 31265250 DOI: 10.1021/acs.analchem.9b01323] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]

Hao Z, Xie W, Chen B. Arbuscular Mycorrhizal Symbiosis Affects Plant Immunity to Viral Infection and Accumulation. Viruses 2019;11:E534. [PMID: 31181739 PMCID: PMC6630321 DOI: 10.3390/v11060534] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 06/04/2019] [Accepted: 06/06/2019] [Indexed: 11/22/2022] Open

Şahin-Çevik M, Sivri ED, Çevik B. Identification and Expression Analysis of Genes Induced in Response to Tomato chlorosis virus Infection in Tomato. THE PLANT PATHOLOGY JOURNAL 2019;35:257-273. [PMID: 31244571 PMCID: PMC6586192 DOI: 10.5423/ppj.oa.12.2018.0287] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 02/10/2019] [Accepted: 03/13/2019] [Indexed: 05/05/2023]

Pesti R, Kontra L, Paul K, Vass I, Csorba T, Havelda Z, Várallyay É. Differential gene expression and physiological changes during acute or persistent plant virus interactions may contribute to viral symptom differences. PLoS One 2019;14:e0216618. [PMID: 31051010 PMCID: PMC6499435 DOI: 10.1371/journal.pone.0216618] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 04/24/2019] [Indexed: 01/01/2023] Open

Abstract

Viruses have different strategies for infecting their hosts. Fast and acute infections result in the development of severe symptoms and may cause the death of the plant. By contrast, in a persistent interaction, the virus can survive within its host for a long time, inducing only mild symptoms. In this study, we investigated the gene expression changes induced in CymRSV-, crTMV-, and TCV-infected Nicotiana benthamiana and in PVX- and TMV-U1-infected Solanum lycopersicum plants after the systemic spread of the virus by two different high-throughput methods: microarray hybridization or RNA sequencing. Using these techniques, we were able to clearly differentiate between acute and persistent infections. We validated the gene expression changes of selected genes by Northern blot hybridization or by qRT-PCR. We show that, in contrast to persistent infections, the drastic shut-off of housekeeping genes, downregulation of photosynthesis-related transcripts and induction of stress genes are specific outcomes with acute infections. We also show that these changes are not a consequence of host necrosis or the presence of a viral silencing suppressor. Thermal imaging data and chlorophyll fluorescence measurements correlated very well with the molecular changes. We believe that the molecular and physiological changes detected during acute infections mostly contribute to virus symptom development. The observed characteristic physiological changes associated with economically more dangerous acute infections could serve as a basis for the elaboration of remote monitoring systems suitable for detecting developing virus infections in crops. Moreover, as molecular and physiological changes are characteristics of different types of virus lifestyles, this knowledge can support risk assessments of recently described novel viruses.

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Huang C, Cun Y, Yu H, Tong Z, Xiao B, Song Z, Wang B, Li Y, Liu Y. Transcriptomic profile of tobacco in response to Tomato zonate spot orthotospovirus infection. Virol J 2017;14:153. [PMID: 28807054 PMCID: PMC5557316 DOI: 10.1186/s12985-017-0821-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 08/07/2017] [Indexed: 01/04/2023] Open

Ramesh SV, Williams S, Kappagantu M, Mitter N, Pappu HR. Transcriptome-wide identification of host genes targeted by tomato spotted wilt virus-derived small interfering RNAs. Virus Res 2017;238:13-23. [PMID: 28545854 DOI: 10.1016/j.virusres.2017.05.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 05/16/2017] [Accepted: 05/20/2017] [Indexed: 11/28/2022]

Abstract

RNA silencing mechanism functions as a major defense against invading viruses. The caveat in the RNA silencing mechanism is that the effector small interfering RNAs (siRNAs) act on any RNA transcripts with sequence complementarity irrespective of target's origin. A subset of highly expressed viral small interfering RNAs (vsiRNAs) derived from the tomato spotted wilt virus (TSWV; Tospovirus: Bunyaviridae) genome was analyzed for their propensity to downregulate the tomato transcriptome. A total of 11898 putative target sites on tomato transcripts were found to exhibit a propensity for down regulation by TSWV-derived vsiRNAs. In total, 2450 unique vsiRNAs were found to have potential cross-reacting capability with the tomato transcriptome. VsiRNAs were found to potentially target a gamut of host genes involved in basal cellular activities including enzymes, transcription factors, membrane transporters, and cytoskeletal proteins. KEGG pathway annotation of targets revealed that the vsiRNAs were mapped to secondary metabolite biosynthesis, amino acids, starch and sucrose metabolism, and carbon and purine metabolism. Transcripts for protein processing, hormone signalling, and plant-pathogen interactions were the most likely targets from the genetic, environmental information processing, and organismal systems, respectively. qRT-PCR validation of target gene expression showed that none of the selected transcripts from tomato cv. Marglobe showed up regulation, and all were down regulated even upto 20 folds (high affinity glucose transporter). However, the expression levels of transcripts from cv. Red Defender revealed differential regulation as three among the target transcripts showed up regulation (Cc-nbs-lrr, resistance protein, AP2-like ethylene-responsive transcription factor, and heat stress transcription factor A3). Accumulation of tomato target mRNAs of corresponding length was proved in both tomato cultivars using 5' RACE analysis. The TSWV-tomato interaction at the sRNA interface points to the ability of tomato cultivars to overcome vsiRNA-mediated targeting of NBS-LRR class R genes. These results suggest the prevalence of vsiRNA-induced RNA silencing of host transcriptome, and the interactome scenario is the first report on the interaction between tospovirus genome-derived siRNAs and tomato transcripts, and provide a deeper understanding of the role of vsiRNAs in pathogenicity and in perturbing host machinery.

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López-Gresa MP, Lisón P, Yenush L, Conejero V, Rodrigo I, Bellés JM. Salicylic Acid Is Involved in the Basal Resistance of Tomato Plants to Citrus Exocortis Viroid and Tomato Spotted Wilt Virus. PLoS One 2016;11:e0166938. [PMID: 27893781 PMCID: PMC5125658 DOI: 10.1371/journal.pone.0166938] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 11/07/2016] [Indexed: 11/18/2022] Open

Oliver JE, Whitfield AE. The Genus Tospovirus: Emerging Bunyaviruses that Threaten Food Security. Annu Rev Virol 2016;3:101-124. [PMID: 27578436 DOI: 10.1146/annurev-virology-100114-055036] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]

Costa AT, Bravo JP, Krause-Sakate R, Maia IG. The receptor-like kinase SlSOBIR1 is differentially modulated by virus infection but its overexpression in tobacco has no significant impact on virus accumulation. PLANT CELL REPORTS 2016;35:65-75. [PMID: 26408145 DOI: 10.1007/s00299-015-1868-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 09/11/2015] [Indexed: 05/27/2023]

Fang P, Lu R, Sun F, Lan Y, Shen W, Du L, Zhou Y, Zhou T. Assessment of reference gene stability in Rice stripe virus and Rice black streaked dwarf virus infection rice by quantitative Real-time PCR. Virol J 2015;12:175. [PMID: 26497487 PMCID: PMC4619528 DOI: 10.1186/s12985-015-0405-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Accepted: 10/16/2015] [Indexed: 11/10/2022] Open

In silico identification of Bell pepper endornavirus from pepper transcriptomes and their phylogenetic and recombination analyses. Gene 2015;575:712-7. [PMID: 26410036 DOI: 10.1016/j.gene.2015.09.051] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Revised: 09/11/2015] [Accepted: 09/21/2015] [Indexed: 11/21/2022]

Fan H, Zhang Y, Sun H, Liu J, Wang Y, Wang X, Li D, Yu J, Han C. Transcriptome Analysis of Beta macrocarpa and Identification of Differentially Expressed Transcripts in Response to Beet Necrotic Yellow Vein Virus Infection. PLoS One 2015;10:e0132277. [PMID: 26196682 PMCID: PMC4719419 DOI: 10.1371/journal.pone.0132277] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Accepted: 06/11/2015] [Indexed: 11/19/2022] Open

Choi H, Jo Y, Lian S, Jo KM, Chu H, Yoon JY, Choi SK, Kim KH, Cho WK. Comparative analysis of chrysanthemum transcriptome in response to three RNA viruses: Cucumber mosaic virus, Tomato spotted wilt virus and Potato virus X. PLANT MOLECULAR BIOLOGY 2015;88:233-48. [PMID: 25904110 DOI: 10.1007/s11103-015-0317-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Accepted: 04/02/2015] [Indexed: 05/21/2023]

Zheng Y, Wang Y, Wu J, Ding B, Fei Z. A dynamic evolutionary and functional landscape of plant phased small interfering RNAs. BMC Biol 2015;13:32. [PMID: 25980406 PMCID: PMC4457045 DOI: 10.1186/s12915-015-0142-4] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Accepted: 05/07/2015] [Indexed: 11/10/2022] Open

Ishihara T, Sato Y, Takahashi H. Microarray analysis of R-gene-mediated resistance to viruses. Methods Mol Biol 2015;1236:197-218. [PMID: 25287505 DOI: 10.1007/978-1-4939-1743-3_15] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]

Villordon AQ, Clark CA. Variation in virus symptom development and root architecture attributes at the onset of storage root initiation in 'beauregard' sweetpotato plants grown with or without nitrogen. PLoS One 2014;9:e107384. [PMID: 25243579 PMCID: PMC4170963 DOI: 10.1371/journal.pone.0107384] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2014] [Accepted: 05/19/2014] [Indexed: 01/25/2023] Open

Abstract

It has been shown that virus infections, often symptomless, significantly limit sweetpotato productivity, especially in regions characterized by low input agricultural systems. In sweetpotatoes, the successful emergence and development of lateral roots (LRs), the main determinant of root architecture, determines the competency of adventitious roots to undergo storage root initiation. This study aimed to investigate the effect of some plant viruses on root architecture attributes during the onset of storage root initiation in 'Beauregard' sweetpotatoes that were grown with or without the presence of nitrogen. In two replicate experiments, virus-tested plants consistently failed to show visible symptoms at 20 days regardless of nitrogen treatment. In both experiments, the severity of symptom development among infected plants ranged from 25 to 118% when compared to the controls (virus tested plants grown in the presence of nitrogen). The presence of a complex of viruses (Sweet potato feathery mottle virus, Sweet potato virus G, Sweet potato virus C, and Sweet potato virus 2) was associated with 51% reduction in adventitious root number among plants grown without nitrogen. The effect of virus treatments on first order LR development depended on the presence or absence of nitrogen. In the presence of nitrogen, only plants infected with Sweet potato chlorotic stunt virus showed reductions in first order LR length, number, and density, which were decreased by 33%, 12%, and 11%, respectively, when compared to the controls. In the absence of nitrogen, virus tested and infected plants manifested significant reductions for all first order LR attributes. These results provide evidence that virus infection directly influences sweetpotato yield potential by reducing both the number of adventitious roots and LR development. These findings provide a framework for understanding how virus infection reduces sweetpotato yield and could lead to the development of novel strategies to mitigate virus effects on sweetpotato productivity.

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Harper S, Cowell S, Robertson C, Dawson W. Differential tropism in roots and shoots infected by Citrus tristeza virus. Virology 2014;460-461:91-9. [DOI: 10.1016/j.virol.2014.04.035] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Revised: 04/06/2014] [Accepted: 04/19/2014] [Indexed: 10/25/2022]

Miozzi L, Napoli C, Sardo L, Accotto GP. Transcriptomics of the interaction between the monopartite phloem-limited geminivirus tomato yellow leaf curl Sardinia virus and Solanum lycopersicum highlights a role for plant hormones, autophagy and plant immune system fine tuning during infection. PLoS One 2014;9:e89951. [PMID: 24587146 PMCID: PMC3938563 DOI: 10.1371/journal.pone.0089951] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Accepted: 01/25/2014] [Indexed: 12/13/2022] Open

Fan H, Sun H, Wang Y, Zhang Y, Wang X, Li D, Yu J, Han C. Deep sequencing-based transcriptome profiling reveals comprehensive insights into the responses of Nicotiana benthamiana to beet necrotic yellow vein virus infections containing or lacking RNA4. PLoS One 2014;9:e85284. [PMID: 24416380 PMCID: PMC3887015 DOI: 10.1371/journal.pone.0085284] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2013] [Accepted: 11/26/2013] [Indexed: 11/29/2022] Open

Abstract

BACKGROUND

Beet necrotic yellow vein virus (BNYVV), encodes either four or five plus-sense single stranded RNAs and is the causal agent of sugar beet rhizomania disease, which is widely distributed in most regions of the world. BNYVV can also infect Nicotiana benthamiana systemically, and causes severe curling and stunting symptoms in the presence of RNA4 or mild symptoms in the absence of RNA4.

RESULTS

Confocal laser scanning microscopy (CLSM) analyses showed that the RNA4-encoded p31 protein fused to the red fluorescent protein (RFP) accumulated mainly in the nuclei of N. benthamiana epidermal cells. This suggested that severe RNA4-induced symptoms might result from p31-dependent modifications of the transcriptome. Therefore, we used next-generation sequencing technologies to analyze the transcriptome profile of N. benthamiana in response to infection with different isolates of BNYVV. Comparisons of the transcriptomes of mock, BN3 (RNAs 1+2+3), and BN34 (RNAs 1+2+3+4) infected plants identified 3,016 differentially expressed transcripts, which provided a list of candidate genes that potentially are elicited in response to virus infection. Our data indicate that modifications in the expression of genes involved in RNA silencing, ubiquitin-proteasome pathway, cellulose synthesis, and metabolism of the plant hormone gibberellin may contribute to the severe symptoms induced by RNA4 from BNYVV.

CONCLUSIONS

These results expand our understanding of the genetic architecture of N. benthamiana as well as provide valuable clues to identify genes potentially involved in resistance to BNYVV infection. Our global survey of gene expression changes in infected plants reveals new insights into the complicated molecular mechanisms underlying symptom development, and aids research into new strategies to protect crops against viruses.

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Tomato spotted wilt virus benefits a non-vector arthropod, Tetranychus urticae, by modulating different plant responses in tomato. PLoS One 2013;8:e75909. [PMID: 24058708 PMCID: PMC3776767 DOI: 10.1371/journal.pone.0075909] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Accepted: 08/17/2013] [Indexed: 01/06/2023] Open

Satoh K, Kondoh H, De Leon TB, Macalalad RJA, Cabunagan RC, Cabauatan PQ, Mauleon R, Kikuchi S, Choi IR. Gene expression responses to Rice tungro spherical virus in susceptible and resistant near-isogenic rice plants. Virus Res 2012. [PMID: 23183448 DOI: 10.1016/j.virusres.2012.11.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]

Lu J, Du ZX, Kong J, Chen LN, Qiu YH, Li GF, Meng XH, Zhu SF. Transcriptome analysis of Nicotiana tabacum infected by Cucumber mosaic virus during systemic symptom development. PLoS One 2012;7:e43447. [PMID: 22952684 PMCID: PMC3429483 DOI: 10.1371/journal.pone.0043447] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 07/19/2012] [Indexed: 11/19/2022] Open

Ercolano MR, Sanseverino W, Carli P, Ferriello F, Frusciante L. Genetic and genomic approaches for R-gene mediated disease resistance in tomato: retrospects and prospects. PLANT CELL REPORTS 2012;31:973-85. [PMID: 22350316 PMCID: PMC3351601 DOI: 10.1007/s00299-012-1234-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Revised: 01/27/2012] [Accepted: 01/27/2012] [Indexed: 05/22/2023]

Lodha TD, Basak J. Plant-pathogen interactions: what microarray tells about it? Mol Biotechnol 2012;50:87-97. [PMID: 21618071 DOI: 10.1007/s12033-011-9418-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]

Gonzalez-Ibeas D, Cañizares J, Aranda MA. Microarray analysis shows that recessive resistance to Watermelon mosaic virus in melon is associated with the induction of defense response genes. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2012;25:107-18. [PMID: 21970693 DOI: 10.1094/mpmi-07-11-0193] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]

Miozzi L, Catoni M, Fiorilli V, Mullineaux PM, Accotto GP, Lanfranco L. Arbuscular mycorrhizal symbiosis limits foliar transcriptional responses to viral infection and favors long-term virus accumulation. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2011;24:1562-1572. [PMID: 21899386 DOI: 10.1094/mpmi-05-11-0116] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]

Satoh K, Shimizu T, Kondoh H, Hiraguri A, Sasaya T, Choi IR, Omura T, Kikuchi S. Relationship between symptoms and gene expression induced by the infection of three strains of Rice dwarf virus. PLoS One 2011;6:e18094. [PMID: 21445363 PMCID: PMC3062569 DOI: 10.1371/journal.pone.0018094] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2010] [Accepted: 02/21/2011] [Indexed: 11/18/2022] Open

Abstract

Background

Rice dwarf virus (RDV) is the causal agent of rice dwarf disease, which often results in severe yield losses of rice in East Asian countries. The disease symptoms are stunted growth, chlorotic specks on leaves, and delayed and incomplete panicle exsertion. Three RDV strains, O, D84, and S, were reported. RDV-S causes the most severe symptoms, whereas RDV-O causes the mildest. Twenty amino acid substitutions were found in 10 of 12 virus proteins among three RDV strains.

Methodology/Principal Findings

We analyzed the gene expression of rice in response to infection with the three RDV strains using a 60-mer oligonucleotide microarray to examine the relationship between symptom severity and gene responses. The number of differentially expressed genes (DEGs) upon the infection of RDV-O, -D84, and -S was 1985, 3782, and 6726, respectively, showing a correlation between the number of DEGs and symptom severity. Many DEGs were related to defense, stress response, and development and morphogenesis processes. For defense and stress response processes, gene silencing-related genes were activated by RDV infection and the degree of activation was similar among plants infected with the three RDV strains. Genes for hormone-regulated defense systems were also activated by RDV infection, and the degree of activation seemed to be correlated with the concentration of RDV in plants. Some development and morphogenesis processes were suppressed by RDV infection, but the degree of suppression was not correlated well with the RDV concentration.

Conclusions/Significance

Gene responses to RDV infection were regulated differently depending on the gene groups regulated and the strains infecting. It seems that symptom severity is associated with the degree of gene response in defense-related and development- and morphogenesis-related processes. The titer levels of RDV in plants and the amino acid substitutions in RDV proteins could be involved in regulating such gene responses.

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Genome-wide analysis of auxin response factor (ARF) gene family from tomato and analysis of their role in flower and fruit development. Mol Genet Genomics 2011. [PMID: 21290147 DOI: 10.1007/s00438‐011‐0602‐7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2022]

Kumar R, Tyagi AK, Sharma AK. Genome-wide analysis of auxin response factor (ARF) gene family from tomato and analysis of their role in flower and fruit development. Mol Genet Genomics 2011;285:245-60. [PMID: 21290147 DOI: 10.1007/s00438-011-0602-7] [Citation(s) in RCA: 138] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2010] [Accepted: 01/19/2011] [Indexed: 11/25/2022]

Mascia T, Santovito E, Gallitelli D, Cillo F. Evaluation of reference genes for quantitative reverse-transcription polymerase chain reaction normalization in infected tomato plants. MOLECULAR PLANT PATHOLOGY 2010;11:805-16. [PMID: 21029324 PMCID: PMC6640390 DOI: 10.1111/j.1364-3703.2010.00646.x] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]