Suppr超能文献

基于基因型抽样提高QTL定位分辨率——以重组自交系群体为例

Improving QTL mapping resolution based on genotypic sampling--a case using a RIL population.

作者信息

Yan Jian-Bing, Tang Ji-Hua, Meng Yi-Jiang, Ma Xi-Qing, Teng Wen-Tao, Chander Subhash, Li Lin, Li Jian-Sheng

机构信息

National Maize Improvement Center of China, China Agricultural University, Beijing 100094, China.

出版信息

Yi Chuan Xue Bao. 2006 Jul;33(7):617-24. doi: 10.1016/S0379-4172(06)60091-7.

Abstract

The QTL mapping results were compared with the genotypically selected and random samples of the same size on the base of a RIL population. The results demonstrated that there were no obvious differences in the trait distribution and marker segregation distortion between the genotypically selected and random samples with the same population size. However, a significant increase in QTL detection power, sensitivity, specificity, and QTL resolution in the genotypically selected samples were observed. Moreover, the highly significant effect was detected in small size of genotypically selected samples. In QTL mapping, phenotyping is a more sensitive limiting factor than genotyping so that the selection of samples could be an attractive strategy for increasing genome-wide QTL mapping resolution. The efficient selection of samples should be more helpful for QTL maker assistant selection, fine mapping, and QTL cloning.

摘要

基于重组自交系群体,将数量性状基因座(QTL)定位结果与相同大小的基因型选择样本和随机样本进行比较。结果表明,相同群体大小的基因型选择样本和随机样本在性状分布和标记分离畸变方面没有明显差异。然而,在基因型选择样本中观察到QTL检测能力、敏感性、特异性和QTL分辨率显著提高。此外,在小样本量的基因型选择样本中检测到高度显著的效应。在QTL定位中,表型分析是比基因分型更敏感的限制因素,因此样本选择可能是提高全基因组QTL定位分辨率的一种有吸引力的策略。有效的样本选择应该对QTL标记辅助选择、精细定位和QTL克隆更有帮助。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验