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A high-density, SNP-based consensus map of tetraploid wheat as a bridge to integrate durum and bread wheat genomics and breeding

机译:一种高密度,基于SNP的四倍体小麦的共识图作为整合杜伦姆和面包小麦基因组学和育种的桥梁

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摘要

Consensus linkage maps are important tools in crop genomics. We have assembled a high-density tetraploid wheat consensus map by integrating 13 data sets from independent biparental populations involving durum wheat cultivars (Triticum turgidum ssp.durum), cultivated emmer (T.turgidum ssp.dicoccum) and their ancestor (wild emmer, T.turgidum ssp.dicoccoides). The consensus map harboured 30144 markers (including 26626 SNPs and 791 SSRs) half of which were present in at least two component maps. The final map spanned 2631cM of all 14 durum wheat chromosomes and, differently from the individual component maps, all markers fell within the 14 linkage groups. Marker density per genetic distance unit peaked at centromeric regions, likely due to a combination of low recombination rate in the centromeric regions and even gene distribution along the chromosomes. Comparisons with bread wheat indicated fewer regions with recombination suppression, making this consensus map valuable for mapping in the A and B genomes of both durum and bread wheat. Sequence similarity analysis allowed us to relate mapped gene-derived SNPs to chromosome-specific transcripts. Dense patterns of homeologous relationships have been established between the A- and B-genome maps and between nonsyntenic homeologous chromosome regions as well, the latter tracing to ancient translocation events. The gene-based homeologous relationships are valuable to infer the map location of homeologs of target loci/QTLs. Because most SNP and SSR markers were previously mapped in bread wheat, this consensus map will facilitate a more effective integration and exploitation of genes and QTL for wheat breeding purposes.
机译:共识联系地图是作物基因组学中的重要工具。我们通过将13个数据集与涉及杜兰小麦品种(Triticum Turgidum SSP.Durum)的独立婴儿群体(T.Turgidum SSP.Dicoccum)及其祖先(狂野emmer,t .turgidum ssp.dicoccoides)。共识映射覆盖了30144个标记(包括26626个SNP和791 SSR),其中一半存在于至少两个组件地图中。最后地图跨越所有14个硬粒小麦染色体的2631厘米,并且不同于各个组分图,所有标记物都落在14个联系组内。每个遗传距离单元的标记密度在焦化区域达到峰值,可能是由于沿染色体中的焦化区域中的低重组率和甚至基因分布的组合。与面包小麦的比较表明,具有重组抑制的区域较少,使得这种共识映射对于杜伦姆和面包小麦的A和B基因组中的映射有价值。序列相似性分析允许我们将映射基因衍生的SNP联系起来给染色体特异性转录物。在A-和B基因组图之间以及非合理的染色体地区之间以及古代易位事件的后一种追踪,已经建立了浓密的家乡关系模式。基于基因的职业关系是有价值的,可推断目标基因座/ QTL的地图位置。由于大多数SNP和SSR标记以前映射在面包小麦中,因此这种共识地图将促进对小麦育种目的的更有效的基因和QTL的集成和剥削。

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