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利用微卫星标记筛选鉴定影响小麦粒数的位点。

Identifying loci influencing grain number by microsatellite screening in bread wheat (Triticum aestivum L.).

机构信息

Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture, The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.

出版信息

Planta. 2012 Nov;236(5):1507-17. doi: 10.1007/s00425-012-1708-9. Epub 2012 Jul 21.

Abstract

Grain number (GN) is one of three major yield-related components in wheat. We used the Chinese wheat mini core collection to undertake a genome-wide association analysis of grain number using 531 SSR markers randomly located on all 21 chromosomes. Grain numbers of all accessions were measured in four trials, i.e. two environments in four growing seasons. Association analysis based on a mixed linear model (MLM) revealed that 27 SSR loci were significantly associated with mean GN (MGN) estimated by the best linear unbiased predictor (BLUP) method. These included numerous breeder favorable alleles with strong positive effects at 23 loci. Significant or extremely significant differences were detected on MGN between varieties conveying favored allele and varieties with other alleles. Moreover, statistical simulation showed that the favored alleles have additive genetic effects. Although modern varieties combined larger numbers of favored alleles, the numbers of favored alleles were not significantly different from those in landraces, especially those alleles contributing mostly to the phenotypic variation. These results indicate that there is still considerable genetic potential for use of markers for genome selection of GN for high yield in wheat.

摘要

粒数(GN)是小麦三个主要产量相关组成部分之一。我们利用中国小麦微型核心库,使用随机分布在 21 条染色体上的 531 个 SSR 标记,对粒数进行了全基因组关联分析。在四个试验中测量了所有品系的粒数,即在四个生长季节的两个环境中。基于混合线性模型(MLM)的关联分析显示,27 个 SSR 位点与通过最佳线性无偏预测(BLUP)方法估计的平均 GN(MGN)显著相关。其中包括在 23 个位点具有强正效应的许多有利育性等位基因。在携带有利等位基因的品种与携带其他等位基因的品种之间,MGN 存在显著或极显著差异。此外,统计模拟表明,有利等位基因具有加性遗传效应。尽管现代品种组合了更多的有利等位基因,但有利等位基因的数量与地方品种没有显著差异,尤其是那些对表型变异贡献最大的等位基因。这些结果表明,在小麦高产的 GN 基因组选择中,利用标记仍然具有相当大的遗传潜力。

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