利用优良粳稻品种进行抽穗时间、茎长、直链淀粉和蛋白质含量的关联定位。

Mo YoungJun, Jeong JongMin, Kim Bokyeong, Kwon Soonwook, Jeung JiUng
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引用次数: 5

摘要

关联图谱被广泛应用于水稻和其他作物中,以鉴定重要农艺性状的基因。大多数关联图谱研究使用由不同地理来源的材料组成的多样性面板,以利用其广泛的遗传变异。由于遗传多样性有限,在关联图谱中很少使用本地适应性育种系,而从优质种质中鉴定出的基因/等位基因具有实际价值,因为它们可以直接用于育种计划。本研究利用均匀分布在基因组中的192个微卫星标记,分析了1970 ~ 2006年在韩国发布的179个水稻品种(161个粳稻品种和18个统日型品种)的遗传多样性。这161个粳稻品种在遗传上非常接近,多样性有限,因为它们主要是通过精英对精英的杂交来开发的,以满足韩国当地对优质粳稻的特定需求。尽管遗传背景狭窄,但161个粳稻品种在抽穗时间、茎长、直链淀粉和蛋白质含量等方面均存在丰富的表型变异。利用这些品种进行关联作图,我们分别鉴定出6个、7个、10个和4个位点与抽穗时间、茎长、直链淀粉和蛋白质含量显著相关。这些位点的等位基因效应总和与每个性状的表型值呈极显著正相关,表明这些位点的等位基因变异可用于设计杂交组合和预测当地育种计划中的后代表现。
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Utilization of elite Korean japonica rice varieties for association mapping of heading time, culm length, and amylose and protein content.
Association mapping is widely used in rice and other crops to identify genes underlying important agronomic traits. Most association mapping studies use diversity panels comprising accessions with various geographical origins to exploit their wide genetic variation. While locally adapted breeding lines are rarely used in association mapping owing to limited genetic diversity, genes/alleles identified from elite germplasm are practically valuable as they can be directly utilized in breeding programs. In this study, we analyzed genetic diversity of 179 rice varieties (161 japonica and 18 Tongil-type) released in Korea from 1970 to 2006 using 192 microsatellite markers evenly distributed across the genome. The 161 japonica rice varieties were genetically very close to each other with limited diversity as they were developed mainly through elite-by-elite crosses to meet the specific local demands for high quality japonica rice in Korea. Despite the narrow genetic background, abundant phenotypic variation was observed in heading time, culm length, and amylose and protein content in the 161 japonica rice varieties. Using these varieties in association mapping, we identified six, seven, ten, and four loci significantly associated with heading time, culm length, and amylose and protein content, respectively. The sums of allelic effects of these loci showed highly significant positive correlation with the observed phenotypic values for each trait, indicating that the allelic variation at these loci can be useful when designing cross combinations and predicting progeny performance in local breeding programs.
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