RFLP loci associated with soybean seed protein and oil content across populations and locations
RFLP loci associated with soybean seed protein and oil content across populations and locations
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DOI：
10.1007/bf00224058
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发表时间：
1996-10-01
影响因子：
5.4
通讯作者：
Boerma, HR
中科院分区：
文献类型：
--
作者：
Lee, SH;Bailey, MA;Boerma, HR
分子标记提供了在不同环境和群体中识别标记-数量性状基因座(QTL)关联的机会。两种大豆[Glyine max(L.)[MERR.]利用限制性片段长度多态性(RFLP)标记对‘Young’×Pi 416 937和Pi 97 100 x‘Coker 237’群体进行了分析，以确定与种子蛋白质和油分相关的其他QTL。对于Young x Pi 416 937群体，在155个RFLP座位上对120个F-4衍生品系进行了分离。1994年，F-4衍生品系和两个亲本在北卡罗来纳州的普莱恩斯和北卡罗来纳州的普利茅斯和普莱恩斯种植，并对种子蛋白质和脂肪进行了评估。对Pi 97 100 x Coker 237群体，111个F-2衍生品系在153个RFLP基因座上进行了分离分析。种子蛋白质和油脂的表型数据是在两个不同的地点(弗吉尼亚州雅典和南卡罗来纳州布莱克维尔)获得的。1994年。基于对Young x Pi 416 937群体的单因素方差分析(ANOVA)，在所有三个地点的联合分析中，检测到7个与种子蛋白质相关的独立标记中的5个，以及与种子油相关的所有4个独立标记。用单因素方差分析和区间作图法对PI 97 100 x焦化237群体进行了QTL定位。利用单因素方差分析，在两个地点都检测到了种子蛋白质的四个独立标记中的三个和种子油的三个独立标记。单因素方差分析显示，这两个群体的QTL在不同的地点具有一致性，这可能是由于这些性状的高遗传力和相对较少的影响这些性状的QTL所致。然而，PI 97 100 x Coker 237群体的区间作图表明，在雅典检测到的种子蛋白质和脂肪的QTL与在Blackville检测到的不同。这可能是因为QTL定位的能力取决于遗传图谱的饱和程度。在PI 97 100 x焦化237群体中，种子蛋白质的增加与种子含油量的降低相关(r=-0.61)。在种子蛋白质和油的E、G、H、K和UNK2连锁群(Lg)上都有不同的共同标记(P<0.05)。在两个群体中，Lg E上的一个QTL与种子蛋白相关。蛋白质和油类的其他QTL是群体特有的。
Molecular markers provide the opportunity to identify marker-quantitative trait locus (QTL) associations in different environments and populations. Two soybean [Glycine max (L.) Merr.] populations, 'Young' x PI 416 937 and PI 97 100 x 'Coker 237', were evaluated with restriction fragment length polymorphism (RFLP) markers to identify additional QTLs related to seed protein and oil. For the Young x PI 416 937 population, 120 F-4-derived lines were secored for segregation at 155 RFLP loci. The F-4-derived lines and two parents were grown at Plains, G.a., and Wind-blow and Plymouth, N.C. in 1994, and evaluated for seed protein and oil. For the PI 97 100 x Coker 237 population, 111 F-2-derived lines were evaluated for segregation at 153 RFLP loci. Phenotypic data for seed protein and oil were obtained in two different locations (Athens, G.a., and Blackville, S.C.) in 1994. Based on single-factor analysis of variance (ANOVA) for the Young x PI 416 937 population, five of seven independent markers associated with seed protein, and all four independent markers associated with seed oil in the combined analysis over locations were detected at all three locations. For the PI 97 100 x Coker 237 population, both single-factor ANOVA and interval mapping were used to detect QTLs. Using single-factor ANOVA, three of four independent markers for seed protein and two of three independent markers for seed oil were detected at both locations. In both populations, single-factor ANOVA, revealed the consistency of QTLs across locations, which might be due to the high heritability and the relatively few QTLs with large effects conditioning these traits. However, interval mapping of the PI 97 100 x Coker 237 population indicated that QTLs identified at Athens for seed protein and oil were different from those at Blackville. This might result from the power of QTL mapping being dependent on the level of saturation of the genetic map. Increased seed protein was associated with decreased seed oil in the PI 97 100 x Coker 237 population (r = -0.61). There were various common markers (P less than or equal to 0.05) on linkage groups (LG) E, G, H, K, and UNK2 identified for both seed protein and oil. One QTL on LG E was associated with seed protein in both populations. The other QTLs for protein and oil were population specific.