Literature DB >> 14648289

Polymorphism of a specific region in gene p23 of Citrus tristeza virus allows discrimination between mild and severe isolates.

A Sambade1, C López, L Rubio, R Flores, J Guerri, P Moreno.   

Abstract

The pathogenicity determinants of Citrus tristeza virus (CTV) are presently unknown, although transgenic Mexican limes over-expressing CTV p23, an RNA-binding protein involved in regulating the asymmetrical accumulation of viral RNA strands, display typical CTV symptoms. Here we compared the predominant sequence variants of gene p23 from 18 CTV isolates of different geographic origin and pathogenicity characteristics. Phylogenetic analysis of these sequences revealed three groups of isolates: i) mild, inducing only symptoms in lime and/or decline of citrus species grafted on sour orange rootstock, ii) severe, causing additionally stem pitting on sweet orange and/or grapefruit, and iii) an atypical group of isolates inciting variable symptoms. The sequences of the isolates located at the periphery of each group were recombinants. Pairwise comparisons of the predicted amino acid sequences showed that residues at positions 78-80 were characteristic of each group of isolates. Group-specific primers based on these differences allowed RT-PCR detection of each sequence type in dsRNA-rich preparations from infected tissues. While mild isolates contained only the sequence characteristic of this group, most severe isolates contained the sequences characteristic of their group, and additionally, sequences characteristic of the mild and/or the atypical groups, suggesting that the severe phenotype is associated with the presence of the severe and/or the atypical sequence types. This association can be exploited for quick detection of potentially damaging sequence variants and for monitoring cross protection.

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Year:  2003        PMID: 14648289     DOI: 10.1007/s00705-003-0191-9

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


  7 in total

1.  Population structure of Citrus tristeza virus from field Argentinean isolates.

Authors:  Néstor G Iglesias; Selma P Gago-Zachert; Germán Robledo; Norma Costa; María Inés Plata; Osmar Vera; Oscar Grau; Liliana C Semorile
Journal:  Virus Genes       Date:  2007-11-13       Impact factor: 2.332

2.  Variations in two gene sequences of Citrus tristeza virus after host passage.

Authors:  María A Ayllón; Luis Rubio; Vicente Sentandreu; Andrés Moya; José Guerri; Pedro Moreno
Journal:  Virus Genes       Date:  2006-04       Impact factor: 2.332

3.  The pathogenicity determinant of Citrus tristeza virus causing the seedling yellows syndrome maps at the 3'-terminal region of the viral genome.

Authors:  Maria R Albiach-Marti; Cecile Robertson; Siddarame Gowda; Satyanarayana Tatineni; Belén Belliure; Stephen M Garnsey; Svetlana Y Folimonova; Pedro Moreno; William O Dawson
Journal:  Mol Plant Pathol       Date:  2010-01       Impact factor: 5.663

4.  Genetic variability and evolutionary dynamics of viruses of the family Closteroviridae.

Authors:  Luis Rubio; José Guerri; Pedro Moreno
Journal:  Front Microbiol       Date:  2013-06-26       Impact factor: 5.640

5.  Citrus tristeza virus p23: a unique protein mediating key virus-host interactions.

Authors:  Ricardo Flores; Susana Ruiz-Ruiz; Nuria Soler; Jesús Sánchez-Navarro; Carmen Fagoaga; Carmelo López; Luis Navarro; Pedro Moreno; Leandro Peña
Journal:  Front Microbiol       Date:  2013-05-03       Impact factor: 5.640

6.  Sequence diversity on four ORFs of citrus tristeza virus correlates with pathogenicity.

Authors:  Lisset Herrera-Isidrón; Juan Carlos Ochoa-Sánchez; Rafael Rivera-Bustamante; Juan Pablo Martínez-Soriano
Journal:  Virol J       Date:  2009-07-30       Impact factor: 4.099

7.  Citrus tristeza virus co-opts glyceraldehyde 3-phosphate dehydrogenase for its infectious cycle by interacting with the viral-encoded protein p23.

Authors:  Susana Ruiz-Ruiz; Roberta Spanò; Luis Navarro; Pedro Moreno; Leandro Peña; Ricardo Flores
Journal:  Plant Mol Biol       Date:  2018-11-03       Impact factor: 4.076

  7 in total

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