HANDS: a tool for genome-wide discovery of subgenome-specific base-identity in polyploids.
KAUST Grant NumberKUK-I1-002-03
Permanent link to this recordhttp://hdl.handle.net/10754/596788
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AbstractThe analysis of polyploid genomes is problematic because homeologous subgenome sequences are closely related. This relatedness makes it difficult to assign individual sequences to the specific subgenome from which they are derived, and hinders the development of polyploid whole genome assemblies.We here present a next-generation sequencing (NGS)-based approach for assignment of subgenome-specific base-identity at sites containing homeolog-specific polymorphisms (HSPs): 'HSP base Assignment using NGS data through Diploid Similarity' (HANDS). We show that HANDS correctly predicts subgenome-specific base-identity at >90% of assayed HSPs in the hexaploid bread wheat (Triticum aestivum) transcriptome, thus providing a substantial increase in accuracy versus previous methods for homeolog-specific base assignment.We conclude that HANDS enables rapid and accurate genome-wide discovery of homeolog-specific base-identity, a capability having multiple applications in polyploid genomics.
CitationMithani A, Belfield EJ, Brown C, Jiang C, Leach LJ, et al. (2013) HANDS: a tool for genome-wide discovery of subgenome-specific base-identity in polyploids. BMC Genomics 14: 653. Available: http://dx.doi.org/10.1186/1471-2164-14-653.
SponsorsThis publication is based on work supported by Award No. KUK-I1-002-03, made by King Abdullah University of Science and Technology (KAUST). We thank Steve Reader, John Innes Centre, Norwich, UK, for supply of wheat lines, and David Buck, the Head of Genomic Services, and his team at the Wellcome Trust Centre for Human Genetics, Oxford, UK with advice and help regarding Illumina sequencing.
PubMed Central IDPMC3849207
CollectionsPublications Acknowledging KAUST Support
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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