Identification of QTLs underlying water-logging tolerance in soybean

Identification of QTLs underlying water-logging tolerance in soybean
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DOI:
10.1007/s11032-005-5911-2
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发表时间:
2005-09-01
期刊:
影响因子:
3.1
通讯作者:
Wang, D
Wang, D
中科院分区:
农林科学2区
文献类型:
--
作者:
Cornelious, B;Chen, P;Wang, D

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土壤渍水对大豆[Glycine max(L.)梅尔。]并导致产量显著降低。本研究的目的是鉴定影响大豆耐涝性的数量性状位点。将分别来自A5403 x Archer(群体1)和P9641 x Archer(群体2)的两个群体(分别具有103和67个F-6:11重组近交系(RILs))用作作图群体。在2001年,2002年和2003年的人口进行了评估WLT在人工淹没领域。两个群体的品系间WLT存在显著差异。在两个群体中均未观察到超亲分离子。群体1和群体2的WLT广义遗传力分别为0.59和0.43。选择来自每个群体的耐受性和敏感性RILs以分别产生耐受性原液和敏感原液。用912个SSR标记对两个群体和亲本进行检测,以选择与WLT相关的连锁图上的候选区域。来自候选区域的标记用于对两个群体中的RILs进行基因分型。利用单标记分析(SMA)和复合区间作图法(CIM)对WLT进行QTL定位。群体1中的17个标志物和群体2中的15个标志物与SMA中的WLT显著相关(p < 0.0001)。这些标记中有许多与大豆疫霉抗性基因或QTL连锁。连锁群A1上的Satt 599,连锁群F上的Satt 160、Satt 269和Satt 252,连锁群N上的Satt 485,这5个标记对两个群体的WLT都有显著影响(p < 0.0001)。2003年,利用CIM在群体1的LG A1上的标记Satt 385附近发现了一个WLT QTL。该QTL解释了10%的表型变异,增加WLT的等位基因来自Archer。在2002年的群体2中,在LG F的标记Satt 269附近定位了一个WLT QTL。该QTL解释了16%的表型变异,增加WLT的等位基因也来自Archer。
Soil water-logging can cause severe damage to soybean [Glycine max (L.) Merr.] and results in significant yield reduction. The objective of this study was to identify quantitative trait loci (QTL) that condition water-logging tolerance (WLT) in soybean. Two populations with 103 and 67 F-6:11 recombinant inbred lines (RILs) from A5403 x Archer (Population 1) and P9641 x Archer (Population 2), respectively, were used as the mapping populations. The populations were evaluated for WLT in manually flooded fields in 2001, 2002, and 2003. Significant variation was observed for WLT among the lines in the two populations. No transgressive tolerant segregants were observed in either population. Broad-sense heritability of WLT for populations 1 and 2 were 0.59 and 0.43, respectively. The tolerant and sensitive RILs from each population were selected to create a tolerant bulk and a sensitive bulk, respectively. The two bulks and the parents of each population were tested with 912 simple sequence repeat (SSR) markers to select candidate regions on the linkage map that were associated with WLT. Markers from the candidate regions were used to genotype the RILs in both populations. Both single marker analysis (SMA) and composite interval mapping (CIM) were used to identify QTL for WLT. Seventeen markers in Population 1 and 15 markers in Population 2 were significantly (p < 0.0001) associated with WLT in SMA. Many of these markers were linked to Rps genes or QTL conferring resistance to Phytophthora sojae Kaufmann and Gerdemann. Five markers, Satt599 on linkage group (LG) A1, Satt160, Satt269, and Satt252 on LG F, and Satt485 on LG N, were significant (p < 0.0001) for WLT in both populations. With CIM, a WLT QTL was found close to the marker Satt385 on LG A1 in Population 1 in 2003. This QTL explained 10% of the phenotypic variation and the allele that increased WLT came from Archer. In Population 2 in 2002, a WLT QTL was located near the marker Satt269 on LG F. This QTL explained 16% of the phenotypic variation and the allele that increased WLT also came from Archer.