Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics
Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics
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DOI：
10.1111/j.1469-8137.2008.02413.x
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发表时间：
2008-05-01
期刊：
影响因子：
9.4
通讯作者：
Thorogood, D.
中科院分区：
文献类型：
--
作者：
Armstead, I. P.;Turner, L. B.;Thorogood, D.
利用比较作图基因组学和数量性状基因座（QTL）分析方法，对2个具有相同遗传标记的多年生黑麦草作图家系的遗传变异负荷和资源分配因子及其对结实率的影响进行了研究，在2个家系的第7染色体（LG）和F2/WSC家系的第4染色体（LG 4）上均发现了结实率的数量性状基因座。在LG 7上，结实期和抽穗期QTL在两个家系中共定位，不能明确分辨。比较基因组学研究表明，LG 7与水稻LG 6中含有育性（S5（n））和抽穗期（Hd 1，Hd 3a）候选基因的区域是同线的。LG 4区与含有育性（S33）候选基因的水稻LG 3区同线。F2/WSC家系中LG 4上的结实期和抽穗期QTL最大值由c.结果表明，在LG 4和LG 7位点上，低结实率受隐性基因控制，与结实率相关的QTL的定位表明，标记辅助选择可以减轻与这些基因组区域相关的突变负荷。
Mutational load and resource allocation factors and their effects on limiting seed set were investigated in ryegrass by comparative mapping genomics and quantitative trait loci (QTL) analysis in two perennial ryegrass (Lolium perenne) mapping families sharing common genetic markers.Quantitative trait loci for seed-set were identified on chromosome (LG) 7 in both families and on LG4 of the F2/WSC family. On LG7, seed-set and heading date QTLs colocalized in both families and cannot be unequivocally resolved. Comparative genomics suggests that the LG7 region is syntenous to a region of rice LG6 which contains both fertility (S5(n)) and heading date (Hd1, Hd3a) candidate genes. The LG4 region is syntenous to a region of rice LG3 which contains a fertility (S33) candidate gene. QTL maxima for seed-set and heading date on LG4 in the F2/WSC family are separated by c. 8 cm, indicating distinct genetic control.Low seed set is under the control of recessive genes at both LG4 and LG7 locations.The identification of QTLs associated with seed set, a major component of seed yield in perennial ryegrass, indicates that mutational load associated with these genomic regions can be mitigated through marker-assisted selection.