Case Study of TYLCV and Bemisia Tabaci in Reunion Island
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Review Article Insect Vectors of Rice Yellow Mottle Virus
Hindawi Publishing Corporation Journal of Insects Volume 2015, Article ID 721751, 12 pages http://dx.doi.org/10.1155/2015/721751 Review Article Insect Vectors of Rice Yellow Mottle Virus Augustin Koudamiloro,1,2 Francis Eegbara Nwilene,3 Abou Togola,3 and Martin Akogbeto2 1 Africa Rice Center (AfricaRice), 01 BP 2031 Cotonou, Benin 2University of Abomey-Calavi, 01 BP 4521 Cotonou, Benin 3AfricaRice Nigeria Station, c/o IITA, PMB 5320, Ibadan, Nigeria Correspondence should be addressed to Augustin Koudamiloro; [email protected] Received 9 July 2014; Revised 2 November 2014; Accepted 5 November 2014 Academic Editor: Rostislav Zemek Copyright © 2015 Augustin Koudamiloro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Rice yellow mottle virus (RYMV) is the major viral constraint to rice production in Africa. RYMV was first identified in 1966 in Kenya and then later in most African countries where rice is grown. Several studies have been conducted so far on its evolution, pathogenicity, resistance genes, and especially its dissemination by insects. Many of these studies showed that, among RYMV vectors, insects especially leaf-feeders found in rice fields are the major source of virus transmission. Many studies have shown that the virus is vectored by several insect species in a process of a first ingestion of leaf material and subsequent transmission in following feedings. About forty insect species were identified as vectors of RYMV since 1970 up to now. They were essentially the beetles, grasshoppers, and the leafhoppers. -
Abstract Balme, Geoffrey Robert
ABSTRACT BALME, GEOFFREY ROBERT. Phylogeny and Systematics of the Leafhopper Subfamily Typhlocybinae (Insecta: Hemiptera: Cicadellidae). (Under the direction of Lewis L. Deitz and Brian M. Wiegmann.) This research examined the phylogeny of the tribes of the leafhopper subfamily Typhlocybinae using both morphological, 73 binary and multistate characters, and molecular, 16S rDNA and Histone (H3), evidence. Seventy-five taxa were included in the morphological study, and 48 were included in the molecular analysis. The combined, total evidence, analysis used 48 taxa common to both sets of data. Results of the total evidence analyses suggested four tribes with the following topology: Alebrini + (Empoascini + Typhlocybini) + (Dikraneurini including subtribe Erythroneurina). This topology does not completely resemble any of the last century’s major typhlocybine works, but comes closest to Dr. Young’s 1952 reclassification of the Western Hemisphere Typhlocybinae. Based on the results of these analyses, a revised classification is proposed which synonymizes tribes Forcipatini Hamilton 1998 and Erythroneurini Young 1952 as Dikraneurini McAtee 1926, Jorumini McAtee 1926 and Helionini Haupt 1929 as Empoascini Distant 1908, and Zyginellini Dworakowska 1977 as Typhlocybini Distant 1908. A key is provided to distinguish the tribes, and each is described with notes on distribution and evolutionary relationships, a list of the included genera (current to February. 2007), and illustrations of key morphological characters. DISCLAIMER Nomenclatural acts included in this thesis are not considered published within the meaning of the 1999 International Code of Zoological Nomenclature (see Article 8.3). This work will be published in parts elsewhere, in accordance with Article 8 of the Code. This dissertation is based upon work supported by the National Science Foundation under Grant number 9978026 and by the North Carolina Agricultural Research Service. -
A Novel Divergent Geminivirus Identified in Asymptomatic New
viruses Article A Novel Divergent Geminivirus Identified in Asymptomatic New World Cactaceae Plants Rafaela S. Fontenele 1,2, Andrew M. Salywon 3, Lucas C. Majure 3,4, Ilaria N. Cobb 1,5, Amulya Bhaskara 1,6, Jesús A. Avalos-Calleros 7, Gerardo R. Argüello-Astorga 7, Kara Schmidlin 1,2, Anthony Khalifeh 1,2, Kendal Smith 1,2, Joshua Schreck 1,2, Michael C. Lund 1,2, Matias Köhler 8 , Martin F. Wojciechowski 2 , Wendy C. Hodgson 3, Raul Puente-Martinez 3, Koenraad Van Doorslaer 9 , Safaa Kumari 10, Christian Vernière 11,12 , Denis Filloux 11,12, Philippe Roumagnac 11,12 , Pierre Lefeuvre 13, Simone G. Ribeiro 14 , Simona Kraberger 1, Darren P. Martin 15 and Arvind Varsani 1,2,16,17,* 1 The Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ 85287, USA; [email protected] (R.S.F.); [email protected] (I.N.C.); [email protected] (A.B.); [email protected] (K.S.); [email protected] (A.K.); [email protected] (K.S.); [email protected] (J.S.); [email protected] (M.C.L.); [email protected] (S.K.) 2 School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA; [email protected] 3 Desert Botanical Garden, Phoenix, AZ 85008, USA; [email protected] (A.M.S.); lmajure@floridamuseum.ufl.edu (L.C.M.); [email protected] (W.C.H.); [email protected] (R.P.-M.) 4 Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA 5 The University of British Columbia, Vancouver, BC V6T 1Z4, Canada 6 Center for Research in Engineering, Science and Technology, Paradise -
Emerging Strains of Watermelon Mosaic Virus in Southeastern France: Model-Based Estimation of the Dates and Places of Introduction
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.01.322693; this version posted October 3, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Emerging strains of watermelon mosaic virus in Southeastern France: model-based estimation of the dates and places of introduction L Roques1,*, C Desbiez2, K Berthier2, S Soubeyrand1, E Walker1, E K Klein1, J Garnier3, B Moury2, J Papaïx1 1INRAE, BioSP, 84914 Avignon, France 2INRAE, Pathologie Végétale, F-84140, Montfavet, France 3Laboratoire de Mathématiques (LAMA), CNRS and Université de Savoie-Mont Blanc, Chambéry, France * [email protected] ABSTRACT Where and when alien organisms are successfully introduced are central questions to elucidate biotic and abiotic conditions favorable to the introduction, establishment and spread of invasive species. We propose a modelling framework to analyze multiple introductions by several invasive genotypes or genetic variants, in competition with a resident population, when observations provide knowledge on the relative proportions of each variant at some dates and places. This framework is based on a mechanistic-statistical model coupling a reaction-diffusion model with a probabilistic observation model. We apply it to a spatio-temporal dataset reporting the relative proportions of five genetic variants of watermelon mosaic virus (WMV, genus Potyvirus, family Potyviridae) in infections of commercial cucurbit fields. Despite the parsimonious nature of the model, it succeeds in fitting the data well and provides an estimation of the dates and places of successful introduction of each emerging variant as well as a reconstruction of the dynamics of each variant since its introduction.