Yang Huaan, Jian Jianbo, Li Xuan, Renshaw Daniel, Clements Jonathan, Sweetingham Mark W, Tan Cong, Li Chengdao
Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, 6151, Australia.
Beijing Genome Institute - Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, 518083, China.
BMC Genomics. 2015 Sep 2;16(1):660. doi: 10.1186/s12864-015-1878-5.
Molecular marker-assisted breeding provides an efficient tool to develop improved crop varieties. A major challenge for the broad application of markers in marker-assisted selection is that the marker phenotypes must match plant phenotypes in a wide range of breeding germplasm. In this study, we used the legume crop species Lupinus angustifolius (lupin) to demonstrate the utility of whole genome sequencing and re-sequencing on the development of diagnostic markers for molecular plant breeding.
Nine lupin cultivars released in Australia from 1973 to 2007 were subjected to whole genome re-sequencing. The re-sequencing data together with the reference genome sequence data were used in marker development, which revealed 180,596 to 795,735 SNP markers from pairwise comparisons among the cultivars. A total of 207,887 markers were anchored on the lupin genetic linkage map. Marker mining obtained an average of 387 SNP markers and 87 InDel markers for each of the 24 genome sequence assembly scaffolds bearing markers linked to 11 genes of agronomic interest. Using the R gene PhtjR conferring resistance to phomopsis stem blight disease as a test case, we discovered 17 candidate diagnostic markers by genotyping and selecting markers on a genetic linkage map. A further 243 candidate diagnostic markers were discovered by marker mining on a scaffold bearing non-diagnostic markers linked to the PhtjR gene. Nine out from the ten tested candidate diagnostic markers were confirmed as truly diagnostic on a broad range of commercial cultivars. Markers developed using these strategies meet the requirements for broad application in molecular plant breeding.
We demonstrated that low-cost genome sequencing and re-sequencing data were sufficient and very effective in the development of diagnostic markers for marker-assisted selection. The strategies used in this study may be applied to any trait or plant species. Whole genome sequencing and re-sequencing provides a powerful tool to overcome current limitations in molecular plant breeding, which will enable plant breeders to precisely pyramid favourable genes to develop super crop varieties to meet future food demands.
分子标记辅助育种为培育改良作物品种提供了一种有效工具。标记在标记辅助选择中广泛应用的一个主要挑战是,标记表型必须在广泛的育种种质中与植物表型相匹配。在本研究中,我们使用豆科作物窄叶羽扇豆来证明全基因组测序和重测序在分子植物育种诊断标记开发中的实用性。
对1973年至2007年在澳大利亚发布的9个羽扇豆品种进行了全基因组重测序。重测序数据与参考基因组序列数据一起用于标记开发,通过品种间的成对比较揭示了180,596至795,735个单核苷酸多态性(SNP)标记。共有207,887个标记被定位到羽扇豆遗传连锁图谱上。标记挖掘为与11个农艺性状相关基因相连的24个带有标记的基因组序列组装支架中的每一个平均获得了387个SNP标记和87个插入缺失(InDel)标记。以赋予对茎基腐病抗性的R基因PhtjR为例,我们通过在遗传连锁图谱上进行基因分型和选择标记发现了17个候选诊断标记。通过在与PhtjR基因相连的非诊断标记的支架上进行标记挖掘又发现了243个候选诊断标记。在十个测试的候选诊断标记中,有九个在广泛的商业品种中被确认为真正的诊断标记。使用这些策略开发的标记满足在分子植物育种中广泛应用的要求。
我们证明了低成本的基因组测序和重测序数据在开发标记辅助选择的诊断标记方面是足够且非常有效的。本研究中使用的策略可应用于任何性状或植物物种。全基因组测序和重测序提供了一个强大的工具来克服当前分子植物育种中的局限性,这将使植物育种者能够精确地聚合有利基因以培育超级作物品种,满足未来的粮食需求。