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Type: Artigo
Title: Deep Sequencing Analysis Of Rnas From Citrus Plants Grown In A Citrus Sudden Death–affected Area Reveals Diverse Known And Putative Novel Viruses
Author: Matsumura E.E.
Coletta-Filho H.D.
Nourin S.
Falk B.W.
Nerva L.
Oliveira T.S.
Dorta S.O.
Machado M.A.
Abstract: Citrus sudden death (CSD) has caused the death of approximately four million orange trees in a very important citrus region in Brazil. Although its etiology is still not completely clear, symptoms and distribution of affected plants indicate a viral disease. In a search for viruses associated with CSD, we have performed a comparative high-throughput sequencing analysis of the transcriptome and small RNAs from CSD-symptomatic and -asymptomatic plants using the Illumina platform. The data revealed mixed infections that included Citrus tristeza virus (CTV) as the most predominant virus, followed by the Citrus sudden death-associated virus (CSDaV), Citrus endogenous pararetrovirus (CitPRV) and two putative novel viruses tentatively named Citrus jingmen-like virus (CJLV), and Citrus virga-like virus (CVLV). The deep sequencing analyses were sensitive enough to differentiate two genotypes of both viruses previously associated with CSD-affected plants: CTV and CSDaV. Our data also showed a putative association of the CSD-symptomatic plants with a specific CSDaV genotype and a likely association with CitPRV as well, whereas the two putative novel viruses showed to be more associated with CSD-asymptomatic plants. This is the first high-throughput sequencing-based study of the viral sequences present in CSD-affected citrus plants, and generated valuable information for further CSD studies. © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Subject: Citrus Sudden Death
High-throughput Sequencing
Plant Viruses
Editor: MDPI AG
Citation: Viruses. Mdpi Ag, v. 9, n. 4, p. 1 - 19, 2017.
Rights: aberto
Identifier DOI: 10.3390/v9040092
Date Issue: 2017
Appears in Collections:Unicamp - Artigos e Outros Documentos

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