Next-generation sequencing applications for wheat crop improvement

Berkman, Paul, Lai, Kaitao, Lorenc, Michal T. and Edwards, David (2012) Next-generation sequencing applications for wheat crop improvement. American Journal of Botany, 99 2: 165-171. doi:10.3732/ajb.1100309

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Author Berkman, Paul
Lai, Kaitao
Lorenc, Michal T.
Edwards, David
Title Next-generation sequencing applications for wheat crop improvement
Journal name American Journal of Botany   Check publisher's open access policy
ISSN 0002-9122
Publication date 2012-02
Sub-type Article (original research)
DOI 10.3732/ajb.1100309
Volume 99
Issue 2
Start page 165
End page 171
Total pages 7
Place of publication St. Louis, MO, United States
Publisher Botanical Society of America
Collection year 2013
Language eng
Formatted abstract
• Bread wheat (Triticum aestivum; Poaceae) is a crop plant of great importance. It provides nearly 20% of the world’s daily food supply measured by calorie intake, similar to that provided by rice. The yield of wheat has doubled over the last 40 years due to a combination of advanced agronomic practice and improved germplasm through selective breeding. More recently, yield growth has been less dramatic, and a significant improvement in wheat production will be required if demand from the growing human population is to be met.
• Next-generation sequencing (NGS) technologies are revolutionizing biology and can be applied to address critical issues in plant biology. Technologies can produce draft sequences of genomes with a significant reduction to the cost and timeframe of traditional technologies. In addition, NGS technologies can be used to assess gene structure and expression, and importantly, to identify heritable genome variation underlying important agronomic traits.
• This review provides an overview of the wheat genome and NGS technologies, details some of the problems in applying NGS technology to wheat, and describes how NGS technologies are starting to impact wheat crop improvement.
Keyword Genome sequencing
Next-generation sequencing
SNP discovery
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Agriculture and Food Sciences
Official 2013 Collection
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Citation counts: TR Web of Science Citation Count  Cited 37 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 49 times in Scopus Article | Citations
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Created: Fri, 16 Mar 2012, 14:41:51 EST by Mr Kaitao Lai on behalf of School of Agriculture and Food Sciences