SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids

Garcia A.A.F., Mollinari M., Marconi T.G., Serang O.R., Silva R.R., Vieira M.L.C., Vicentini R., Costa E.A., Mancini M.C., Garcia M.O.S., Pastina M.M., Gazaffi R., Martins E.R.F., Dahmer N., Sforca D.A., Silva C.B.C., Bundock P., Henry R.J., Souza G.M., Van Sluys M.-A., Landell M.G.A., Carneiro M.S., Vincentz M.A.G., Pinto L.R., Vencovsky R. and Souza A.P. (2013) SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids. Scientific Reports, 3 03399.1-03399.10. doi:10.1038/srep03399


Author Garcia A.A.F.
Mollinari M.
Marconi T.G.
Serang O.R.
Silva R.R.
Vieira M.L.C.
Vicentini R.
Costa E.A.
Mancini M.C.
Garcia M.O.S.
Pastina M.M.
Gazaffi R.
Martins E.R.F.
Dahmer N.
Sforca D.A.
Silva C.B.C.
Bundock P.
Henry R.J.
Souza G.M.
Van Sluys M.-A.
Landell M.G.A.
Carneiro M.S.
Vincentz M.A.G.
Pinto L.R.
Vencovsky R.
Souza A.P.
Title SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids
Journal name Scientific Reports   Check publisher's open access policy
ISSN 2045-2322
Publication date 2013-12-02
Year available 2013
Sub-type Article (original research)
DOI 10.1038/srep03399
Open Access Status DOI
Volume 3
Start page 03399.1
End page 03399.10
Total pages 10
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Language eng
Formatted abstract
Many plant species of great economic value (e.g., potato, wheat, cotton, and sugarcane) are polyploids. Despite the essential roles of autopolyploid plants in human activities, our genetic understanding of these species is still poor. Recent progress in instrumentation and biochemical manipulation has led to the accumulation of an incredible amount of genomic data. In this study, we demonstrate for the first time a successful genetic analysis in a highly polyploid genome (sugarcane) by the quantitative analysis of single-nucleotide polymorphism (SNP) allelic dosage and the application of a new data analysis framework. This study provides a better understanding of autopolyploid genomic structure and is a sound basis for genetic studies. The proposed methods can be employed to analyse the genome of any autopolyploid and will permit the future development of high-quality genetic maps to assist in the assembly of reference genome sequences for polyploid species.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2014 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 22 times in Thomson Reuters Web of Science Article | Citations
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