OzWheat: a genome-to-phenome platform to resolve complex traits for wheat pre-breeding and research.

Jessica E Hyles, Howard A Eagles, Kerrie Ramm, Bjorg Sherman, Andrew Gock, Sandra Stops, Tanya Phongkham, Emmett Leyne, Tina Rathjen, Radoslaw Suchecki, Lauren E Stevens, Louise Ord, Nick S Fradgley, Meredith D McNeil, Annelie Marquardt, Samuel C Andrew, Kerrie Forrest, Russell F Eastwood, Adam Norman, Annette Tredrea, Richard Trethowan, Ben Trevaskis, Shannon K Dillon
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Abstract

For over a century, Australian wheat breeders have successfully adapted wheat to a broad range of climatic conditions and crop management practices. The OzWheat genome-to-phenome (G2P) platform was established to capture this breeding history and explore traits, genes, and their interactions with the environment to enable ongoing research and deliver targets for wheat improvement. A panel of 285 cultivars and landraces were chosen through knowledge of breeding pedigrees to represent both global diversity and the historic flow of genetic variation over more than 100 years of selective breeding in Australia. Genetic characterisation of the panel included identification of genome-wide sequence variants and gene expression profiling across environments. Important traits for adaptation (flowering time and plant height) were assayed in controlled environments and at multiple field sites and years, with genome-wide association analyses using linear mixed models detecting both known and novel loci. Here, we report establishment of the OzWheat G2P platform as a powerful tool to integrate wheat genomes and phenomes and demonstrate its use to identify candidate genes and understand gene by environment interactions. This provides the wheat research and breeding community a new resource to support future cultivar development.
OzWheat:一个基因组到表型组的平台,用于解决小麦育种前和研究中的复杂性状。
一个多世纪以来,澳大利亚小麦育种家成功地使小麦适应了各种气候条件和作物管理实践。建立 OzWheat 基因组到表型组 (G2P) 平台的目的就是为了捕捉这段育种历史,探索性状、基因及其与环境的相互作用,以便开展持续研究,实现小麦改良目标。通过对育种血统的了解,我们选择了一个由 285 个栽培品种和地方品种组成的小组,以代表全球多样性和澳大利亚 100 多年来选择性育种的遗传变异历史流。研究小组的遗传特征包括鉴定全基因组序列变异和跨环境的基因表达谱分析。重要的适应性状(开花时间和株高)是在受控环境中以及多个田间地点和年份进行检测的,利用线性混合模型进行的全基因组关联分析检测了已知和新的基因位点。在此,我们报告了 OzWheat G2P 平台的建立情况,该平台是整合小麦基因组和表型组的强大工具,并展示了其在确定候选基因和了解基因与环境相互作用方面的用途。这为小麦研究和育种界提供了一个新的资源,以支持未来的栽培品种开发。
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