项目名称: 虾夷扇贝重要经济性状的动态生长模型构建与动态QTL分析
项目编号: No.31302182
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 农业科学
项目作者: 王扬帆
作者单位: 中国海洋大学
项目金额: 25万元
中文摘要: 目前水生生物中所采用的常规QTL分析(即静态QTL分析)难于实现对不同生长发育时期性状变化的精确分析及定位。本研究欲利用扇贝贝壳生长纹路上氧同位素标记法与采用图像分析法测量的纹路上平均生长速率, 并根据的氧同位素与环境因素变化的定量关系,构建虾夷扇贝与环境因素变化有关的多尺度动态生长速率模型,获取扇贝生长过程中的瞬时生长速率,进行动态QTL定位;为虾夷扇贝分子育种提供理论依据和技术支持。
中文关键词: 全基因组选择;QTL分析;图像处理;环境因素;模型
英文摘要: Currently, Static QTL analysis is still the most widely-used method for genetic breeding of the aquatic organisms. However, it is difficult to achieve the precise position of the QTL without involving the distinct expressions of traits at different developmental stages. The purpose of this study is modelling of instantaneous growth rate relate to environmental factors for dynamic QTL analysis of Japanese scallop. Our work takes the morphological features of the growth bands on a shell using image analysis method. Considering the fact that there are quantitative relationships between Oxgen isotope profile of the corresponding growth bands and environmental factors, some functions can be built between the growth rates and environmental factors using curve fitting methods. Based on the former conventional growth functions and the mathmatical functions of the growth rates with environmental factors, a multiscale mathematical model will be obtained with a environmental parameter. Any instantaneous growth rate of Japanese scallop is calculated by the model and used to estimate the QTL effects. The exploration of this project will provide theoretical supports for Dynamic QTL analysis in the breeding of superior species of Japanese scallop.
英文关键词: genome-wide selection;QTL analysis;imaging processing;environmental elements;modelling