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Pattern of recombinations in begomovirus

Authors: Lefeuvre, Pierre; Lett, Jean-Michel; Reynaud, Bernard; Martin, Darren Patrick;

Pattern of recombinations in begomovirus

Abstract

With the development of new and reliable recombination detection tools, many studies have reported the presence of recombination events in begomovirus isolates Recombination has therefore been identified as being of major importance in begomoviruses evolution. Recombination may a1low viroses to evolve quicker by providing immediate direct access to many more areas of a sequence space than are accessible by mutation alone. The detailed characterization and analysis of begomoviruses recombination is of great importance for understanding their evolution. Until now, there have been no statistical studies analysing the characteristics of observable inter-begomovirus species recombination events and the distribution of these events within begomovirus genomes. In this study, we present an extensive description of recombination in monopartite and bipartite begomoviruses. All full length Begomovirus genome A-component-like sequences available in June 2006 from GenBank were obtained, Sequences were sorted ta discard similar viruses and monopartite, bipartite and monopartite + bipartite aligned sequence datasets were analysed using RDP3 with the extensive set of detection meth ods implemented therein. The patterns of recombination were established for each dataset and with a statistical approach, the distribution of recombination hot- and cold-spots determined. The characteristics of begomovirus recombination and the influence of intra genome interactions on the types of begomovirus recombination observable in nature are discussed. (Texte intégral)

Country
France
Keywords

H20 - Maladies des plantes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green