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Towards unambiguous transcript mapping in the allotetraploid Brassica napusThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.
Author(s) -
Isobel A. P. Parkin,
Wayne E. Clarke,
Christine Sidebottom,
Wentao Zhang,
Stephen J. Robinson,
Matthew G. Links,
Steve Karcz,
Erin E. Higgins,
Pierre R. Fobert,
Andrew Sharpe
Publication year - 2010
Publication title -
genome
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.642
H-Index - 99
eISSN - 1480-3321
pISSN - 0831-2796
DOI - 10.1139/g10-053
Subject(s) - biology , genome , polyploid , genetics , gene , expressed sequence tag , transcriptome , ploidy , computational biology , gene expression
The architecture of the Brassica napus genome is marked by its evolutionary origins. The genome of B. napus was formed from the hybridization of two closely related diploid Brassica species, both of which evolved from an hexaploid ancestor. The extensive whole genome duplication events in its near and distant past result in the allotetraploid genome of B. napus maintaining multiple copies of most genes, which predicts a highly complex and redundant transcriptome that can confound any expression analyses. A stringent assembly of 142,399 B. napus expressed sequence tags allowed the development of a well-differentiated set of reference transcripts, which were used as a foundation to assess the efficacy of available tools for identifying and distinguishing transcripts in B. napus; including microarray hybridization and 3' anchored sequence tag capture. Microarray platforms cannot distinguish transcripts derived from the two progenitors or close homologues, although observed differential expression appeared to be biased towards unique transcripts. The use of 3' capture enhanced the ability to unambiguously identify homologues within the B. napus transcriptome but was limited by tag length. The ability to comprehensively catalogue gene expression in polyploid species could be transformed by the application of cost-efficient next generation sequencing technologies that will capture millions of long sequence tags.

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