数量性状位点(QTLs)内候选基因的生物信息学分析方法

Methods of bioinformatic analysis for candidate genes underlying quantitative trait loci(QTLs)

几乎所有的农作物都开展了QTL(quantitative trait loci)定位研究,定位的方法也很多,如区间作图、复合区间作图、基于混合线性模型的复合区间作图和贝叶斯作图等,但这些研究方法均有它们自身的缺陷,定位的QTL在基因组上区间仍然很大,精度不高。为了更好地理解QTLs的分子生物学基础。文章简要地介绍了利用生物信息学方法分析QTL区间内候选基因的方法,并着重从遗传、基因组结构、表达和功能等方面来剖析QTL内的候选基因,为将来更好地利用QTL提供了借鉴。

Almost all crops have been studied on QTL （ quantitative trait loci ） mapping with many QTL mapping methods, such as IM （interval mapping ）, CIM （composite interval mapping ）, MCIM （mixedmodel based composite interval mapping ） and Bayesian QTL mapping having been developed. However, these methods have had shortcomings, namey, the genomic region of the QTL detected, within which there were probably hundreds of candidate genes was still too large. In this paper, a better understanding of the molecular functions of QTLs was obtained by first briefly reviewing methods of analyzing the candidate gene within QTL intervals based on bioinformatics. Then, in order to provide a new analytical method for better use of QTLs in the future, the genetics, genome organization, gene expression and function of candidate genes located on QTL region were analyzed. [ Ch, 1 fig. 22 ref. ]