The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement
| Autor: | Adrian Hathorn, David J. Innes, Emma S. Mace, Xuemin Wang, Colleen H. Hunt, David Jordan, Jared Baxter, Yongfu Tao, Michael Hassall |
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| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Crops Agricultural Quantitative Trait Loci Genomics Computational biology Quantitative trait locus Biology Candidate Gene Identification 01 natural sciences Genome Chromosomes Plant Quantitative Trait Heritable Gene interaction Databases Genetic Genetics Sorghum Comparative genomics food and beverages General Medicine biology.organism_classification Epistasis Agronomy and Crop Science 010606 plant biology & botany Biotechnology |
| Zdroj: | TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik. 132(3) |
| ISSN: | 1432-2242 |
| Popis: | 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. 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. |
| Databáze: | OpenAIRE |
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