Molecular diversity of Cotton leaf curl Gezira virus isolates and their satellite DNAs associated with okra leaf curl disease in ... View Full Text


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Article Info

DATE

2010-02-23

AUTHORS

Fidèle Tiendrébéogo, Pierre Lefeuvre, Murielle Hoareau, Julie Villemot, Gnissa Konaté, Alfred S Traoré, Nicolas Barro, Valentin S Traoré, Bernard Reynaud, Oumar Traoré, Jean-Michel Lett

ABSTRACT

Okra leaf curl disease (OLCD) is a major constraint on okra (Abelmoschusesculentus) production and is widespread in Africa. Using a large number of samples representative of the major growing regions in Burkina Faso (BF), we show that the disease is associated with a monopartite begomovirus and satellite DNA complexes. Twenty-three complete genomic sequences of Cotton leaf curl Gezira virus (CLCuGV) isolates associated with OLCD, sharing 95 to 99% nucleotide identity, were cloned and sequenced. Six betasatellite and four alphasatellite (DNA-1) molecules were also characterized. The six isolates of betasatellite associated with CLCuGV isolates correspond to Cotton leaf curl Gezira betasatellite (CLCuGB) (88 to 98% nucleotide identity). One isolate of alphasatellite is a variant of Cotton leaf curl Gezira alphasatellite (CLCuGA) (89% nucleotide identity), whereas the three others isolates appear to correspond to a new species of alphasatellite (CLCuGA most similar sequence present 52 to 60% nucleotide identity), provisionally named Okra leaf curl Burkina Faso alphasatellite (OLCBFA). Recombination analysis of the viruses demonstrated the interspecies recombinant origin of all CLCuGV isolates, with parents being close to Hollyhock leaf crumple virus (AY036009) and Tomato leaf curl Diana virus (AM701765). Combined with the presence of satellites DNA, these results highlight the complexity of begomoviruses associated with OLCD. More... »

PAGES

48

References to SciGraph publications

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    http://scigraph.springernature.com/pub.10.1186/1743-422x-7-48

    DOI

    http://dx.doi.org/10.1186/1743-422x-7-48

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016056784

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20178575


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