Login | Create Account (DAF staff only)

The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement

Mace, E., Innes, D., Hunt, C., Wang, X., Tao, Y., Baxter, J., Hassall, M., Hathorn, A. and Jordan, D. (2018) The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement. Theoretical and Applied Genetics . pp. 1-16. ISSN 00405752 (ISSN)

Full text not currently attached. Access may be available via the Publisher's website or OpenAccess link.

Article Link(s): http://doi.org/10.1007/s00122-018-3212-5

Abstract

Key message: We describe the development and application of the Sorghum QTL Atlas, a high-resolution, open-access research platform to facilitate candidate gene identification across three cereal species, sorghum, maize and rice. Abstract: The mechanisms governing the genetic control of many quantitative traits are only poorly understood and have yet to be fully exploited. Over the last two decades, over a thousand QTL and GWAS studies have been published in the major cereal crops including sorghum, maize and rice. A large body of information has been generated on the genetic basis of quantitative traits, their genomic location, allelic effects and epistatic interactions. However, such QTL information has not been widely applied by cereal improvement programs and genetic researchers worldwide. In part this is due to the heterogeneous nature of QTL studies which leads QTL reliability variation from study to study. Using approaches to adjust the QTL confidence interval, this platform provides access to the most updated sorghum QTL information than any database available, spanning 23 years of research since 1995. The QTL database provides information on the predicted gene models underlying the QTL CI, across all sorghum genome assembly gene sets and maize and rice genome assemblies and also provides information on the diversity of the underlying genes and information on signatures of selection in sorghum. The resulting high-resolution, open-access research platform facilitates candidate gene identification across 3 cereal species, sorghum, maize and rice. Using a number of trait examples, we demonstrate the power and resolution of the resource to facilitate comparative genomics approaches to provide a bridge between genomics and applied breeding. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

Item Type:Article
Business groups:Crop and Food Science
Keywords:Crops Comparative genomics Confidence interval Crop improvement Development and applications Epistatic interactions Genomic locations Quantitative traits Research platforms Genes
Subjects:Science > Botany > Genetics
Plant culture > Field crops > Corn. Maize
Plant culture > Field crops > Rice
Plant culture > Field crops > Sorghum
Technology > Technology (General)
Deposited On:05 Mar 2019 02:31
Last Modified:05 Mar 2019 02:31

Repository Staff Only: item control page