中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 基于贝叶斯统计的谷物胚乳性状QTL多区间作图方法 作物学报 2009,35 (9) 1569-1575
Position: Home > Articles > Bayesian Statistics-Based Multiple Interval Mapping of QTL Controlling Endosperm Traits in Cereals Acta Agronomica Sinica 2009,35 (9) 1569-1575

基于贝叶斯统计的谷物胚乳性状QTL多区间作图方法

作  者：
王亚民;汤在祥;陆鑫;徐辰武
单  位：
扬州大学江苏省作物遗传生理重点实验室/教育部植物功能基因组学重点实验室
关键词：
贝叶斯统计;胚乳性状;马尔可夫链蒙特卡罗;数量性状基因座位
摘  要：
贝叶斯统计学已被广泛地应用在现代科学的各个研究领域。本研究将贝叶斯统计方法和谷物三倍体胚乳性状数量遗传模型相结合,以F2群体中各植株的分子标记基因型以及植株上若干粒自交种子胚乳性状的单粒观测值为数据模式,提出了胚乳数量性状基因座(QTL)多区间作图的贝叶斯方法。该方法首先构建胚乳性状的多区间多QTL遗传模型,然后通过基于Gibbs抽样和Metropolis-Hastings算法实现的马尔可夫链蒙特卡罗(MCMC)方法同时获得多个QTL效应和位置的估计。方法的有效性通过一条长染色体的模拟实验进行了验证,结果表明,本文提出的贝叶斯多区间方法能够准确地估计胚乳性状QTL的位置和效应,并可有效区分两种显性效应。
译  名：
Bayesian Statistics-Based Multiple Interval Mapping of QTL Controlling Endosperm Traits in Cereals
作  者：
WANG Ya-Min1,2,TANG Zai-Xiang1,LU Xin1,and XU Chen-Wu1,1 Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology /Key Laboratory of Plant Functional Genomics of Ministry of Education,Yangzhou University,Yangzhou 225009,China;2 Basis Course of Lianyungang Technical College,Lianyungang 222006,China
关键词：
Bayesian statistics;Endosperm traits;Markov chain Monte Carlo;Quantitative trait loci
摘  要：
The endosperm of plants is a major source of food,feed and industrial raw materials.The genetic analysis of endosperm traits poses numerous challenges due to its complex genetic composition and unique physical and developmental proper-ties.Modern molecular techniques and statistical methods have greatly improved the mapping of quantitative trait loci(QTL) underlying endosperm traits.In recent years,Bayesian statistics-based analyzing methods have been developed for mapping QTL underlying diploid quantitative traits,but these methods have not been effective to the mapping of triploid endosperm characters.On the basis of Bayesian statistics and quantitative genetic model of triploid endosperm traits,a Bayesian multiple interval method for mapping QTL underlying endosperm traits was proposed.This method used the DNA molecular marker genotypes of each plant in F2 segregation population and the single endosperm observation of a few endosperms of each plant as data set to analyze endosperm QTL.After constructing the multiple-QTL model,the Bayesian estimates of multiple QTL position and effects were obtained through MCMC algorithm implementing via Gibbs and Metropolis-Hastings sampling.The validation of the statistical procedure was verified through chromosome level simulation studies.The results showed that the proposed Bayesian method can estimate the multiple QTL positions and effects as well as distinguish the two dominance effects.

相似文章

PDF下载 PDF预览
导出引用
计量
文章访问数: 6
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46