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Recommendations for the classification and nomenclature of the DNA-β satellites of begomoviruses

Overview of attention for article published in Archives of Virology, February 2008
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Title
Recommendations for the classification and nomenclature of the DNA-β satellites of begomoviruses
Published in
Archives of Virology, February 2008
DOI 10.1007/s00705-007-0013-6
Pubmed ID
Authors

R. W. Briddon, J. K. Brown, E. Moriones, J. Stanley, M. Zerbini, X. Zhou, C. M. Fauquet

Abstract

The symptom-modulating, single-stranded DNA satellites (known as DNA-beta) associated with begomoviruses (family Geminiviridae) have proven to be widespread and important components of a large number of plant diseases across the Old World. Since they were first identified in 2000, over 260 full-length sequences (approximately 1,360 nucleotides) have been deposited with databases, and this number increases daily. This has highlighted the need for a standardised, concise and unambiguous nomenclature for these components, as well as a meaningful and robust classification system. Pairwise comparisons of all available full-length DNA-beta sequences indicate that the minimum numbers of pairs occur at a sequence identity of 78%, which we propose as the species demarcation threshold for a distinct DNA-beta. This threshold value divides the presently known DNA-beta sequences into 51 distinct satellite species. In addition, we propose a naming convention for the satellites that is based upon the system already in use for geminiviruses. This maintains, whenever possible, the association with the helper begomovirus, the disease symptoms and the host plant and provides a logical and consistent system for referring to already recognised and newly identified satellites.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
South Africa 1 <1%
India 1 <1%
China 1 <1%
United States 1 <1%
Unknown 98 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 22%
Student > Ph. D. Student 21 20%
Student > Master 13 13%
Student > Postgraduate 10 10%
Student > Doctoral Student 9 9%
Other 16 16%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 73%
Biochemistry, Genetics and Molecular Biology 10 10%
Immunology and Microbiology 2 2%
Engineering 2 2%
Earth and Planetary Sciences 1 <1%
Other 3 3%
Unknown 10 10%