A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.)

A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.)
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DOI:
10.1007/s00122-004-1740-7
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发表时间:
2004-10-01
影响因子:
5.4
通讯作者:
Edwards, K
Edwards, K
中科院分区:
农林科学1区
文献类型:
--
作者:
Somers, DJ;Isaac, P;Edwards, K

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通过连接四个独立的面包小麦遗传图来构建微卫星共识图。其中三个地图是F-1衍生的单倍体人群人群,第四个人口是“合成的“ X” Opata',这是F-6衍生的重组培训线的人群。映射中使用了来自不同研究组的微卫星标记,包括小麦微卫星联盟,GWM,GDM,CFA,CFD和BARC。遗传图之间有足够数量的共同基因座,范围为52至232个基因座,在不同的种群上绘制了绘制,以促进加入地图。使用MAPMAKER V3.0和JOINMAP v3.0开发了四个遗传图。该软件CMAP是一个比较地图查看器,用于对齐四个地图,并根据共识确定潜在的错误。 JOINMAP v3.0用于根据四个地图的共识来计算标记顺序和重组距离。总共映射了1,235个微卫星基因座,覆盖2,569厘米,平均间隔距离为2.2 cm。该共识图表示小麦的最高密度公共卫星图,并伴随着一个等位基因数据库,显示了每个标记映射的父等位基因大小。这使用户能够预测新育种种群中的等位基因大小,并制定分子育种和基因组学策略。
A microsatellite consensus map was constructed by joining four independent genetic maps of bread wheat. Three of the maps were F-1-derived, doubled- haploid line populations and the fourth population was 'Synthetic' x 'Opata', an F-6-derived, recombinant-inbred line population. Microsatellite markers from different research groups including the Wheat Microsatellite Consortium, GWM, GDM, CFA, CFD, and BARC were used in the mapping. A sufficient number of common loci between genetic maps, ranging from 52 to 232 loci, were mapped on different populations to facilitate joining the maps. Four genetic maps were developed using MapMaker V3.0 and JoinMap V3.0. The software CMap, a comparative map viewer, was used to align the four maps and identify potential errors based on consensus. JoinMap V3.0 was used to calculate marker order and recombination distances based on the consensus of the four maps. A total of 1,235 microsatellite loci were mapped, covering 2,569 cM, giving an average interval distance of 2.2 cM. This consensus map represents the highest-density public microsatellite map of wheat and is accompanied by an allele database showing the parent allele sizes for every marker mapped. This enables users to predict allele sizes in new breeding populations and develop molecular breeding and genomics strategies.