Identification and in silico characterisation of defective molecules associated with isolates of banana bunchy top virus

Stainton, Daisy, Martin, Darren P., Collings, David A., Thomas, • John E. and Varsani, Arvind (2016) Identification and in silico characterisation of defective molecules associated with isolates of banana bunchy top virus. Archives of Virology, 161 4: 1-8. doi:10.1007/s00705-015-2736-0


Author Stainton, Daisy
Martin, Darren P.
Collings, David A.
Thomas, • John E.
Varsani, Arvind
Title Identification and in silico characterisation of defective molecules associated with isolates of banana bunchy top virus
Formatted title
Identification and in silico characterisation of defective molecules associated with isolates of banana bunchy top virus
Journal name Archives of Virology   Check publisher's open access policy
ISSN 0304-8608
1432-8798
Publication date 2016-04
Sub-type Article (original research)
DOI 10.1007/s00705-015-2736-0
Volume 161
Issue 4
Start page 1
End page 8
Total pages 8
Place of publication Wien, Austria
Publisher Springer-Verlag Wien
Collection year 2017
Language eng
Formatted abstract
Banana bunchy top virus (BBTV) is a multi-component single-stranded DNA virus. From 267 potentially infected Musa plants, 24 apparently ‘defective’ BBTV components have been identified. Interestingly, 23/24 of these defective molecules were apparently derived from DNA-R. All of the identified defective molecules had retained at least part of the CR-SL and CR-M but had insertions and/or deletions that in most cases resulted in open reading frame disruptions. Our detection of three monophyletic but diverse (and therefore likely circulating) defective DNA-R lineages suggests that, in many cases, defective DNA-R molecules might remain associated with BBTV genomes for prolonged periods.
Keyword Banana bunchy top virus
Defective molecules
Nanovirus
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Alliance for Agriculture and Food Innovation
 
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