陆地棉种内遗传图谱构建及纤维相关QTL鉴定

发布时间：2020-12-20 08:18

　　棉花是重要经济作物,在许多国家的国民经济中发挥着重要作用。棉纤维是纺织业主要材料来源,也是决定棉花经济价值的重要部分。全球人口基数的增大和人们生活水平的提高对纤维产量和品质提出了更高的要求。因此选育出高产、优质的棉花新品种成为棉花育种学家当前至关重要的任务。但棉花的纤维品质是受多个等位基因控制的复杂数量性状,极易受环境影响,并且纤维品质与产量之间存在一定的负相关关系。因此,利用传统的育种方法培育高产优质棉花进展缓慢。随着生物学技术的进步,分子标记辅助选择育种被逐渐应用于棉花的育种研究,这为改良棉花的纤维品质和产量提供了新的解决方案。遗传图谱构建和QTL有利等位基因鉴定是分子标记辅助选择育种的两个主要组成部分。随着生物学技术和测序技术的进步,用于构建遗传图谱的分子标记逐渐从传统的分子标记（如SSR标记）向SNP标记和In Del标记转变。以SNP标记构建的遗传图谱,普遍具有高密度的特征,能够有效应用于分子标记辅助选择育种。而以简化基因组测序技术（SLAF-seq）获取SNP标记是目前应用最广泛的方法。基于一张高密度遗传连锁图谱,在多环境和多世代下鉴定棉花的纤维相关QTL,能够为棉花的纤维... 

【文章来源】：西南大学重庆市 211工程院校 教育部直属院校

【文章页数】：75 页

【学位级别】：博士

【文章目录】：
摘要
Abstract
Chapter 1 Introduction
    1.1 Classification and diversity of cotton
        1.1.1 Classification of cotton
        1.1.2 Genetic diversity of cotton
    1.2 Structure and formation of cotton fiber
        1.2.1 Chemical composition of cotton fiber
        1.2.2 Physical characterization of cotton fiber
        1.2.3 Measurements of cotton fiber
        1.2.4 Maturity of cotton fiber
    1.3 Genetic factors controlling fiber traits
    1.4 Importance of molecular markers
        1.4.1 Advantages of molecular markers
        1.4.2 PCR based markers properties
    1.5 Genotyping
        1.5.1 Genotyping through traditional markers
        1.5.2 Genotyping through SLAF-seq
    1.6 Research development of MAS in cotton
Character 2 Materials and Methods
    2.1 Plant materials and construction of the RIL population
    2.2 Total DNA extraction
        2.2.1 Procedures of DNA extraction
    2.3 SSR markers genotyping
        2.3.1 Source of SSR markers
        2.3.2 Amplification system of SSR primers
        2.3.3 Polyacrylamide gel electrophoresis
    2.4 SLAF-SNP creation,and sequencing
    2.5 Genetic map construction
    2.6 Phenotype analysis
    2.7 QTL analysis
    2.8 QTL by environment interaction（QEI）analysis
    2.9 Technical route
Chapter 3 Results
    3.1 Phenotypic data analysis
    3.2 Obtation of SNP and SSR markers
    3.3 High-density genetic map construction
    3.4 Physical length of the genetic map
    3.5 QTL identification for fiber related traits
        3.5.1 QTLs for lint percentage
        3.5.2 QTLs for fiber length
        3.5.3 QTLs for fiber strength
        3.5.4 QTLs for fiber micronaire
        3.5.5 QTLs for fiber uniformity
        3.5.6 QTLs for fiber elongation
    3.6 QTL clusters
    3.7.QTL by environment interaction analysis
Character 4 Discussion
    4.1 Selection of molecular markers
    4.2 QTL identification
    4.3 The direction of favorable QTL alleles
Character 5 Conclusion
    5.1 Construction of the high-density genetic map
    5.2 Identification of QTLs for fiber related traits
    5.3 Identification of QTL clusters
Reference
Acknowledgement


【参考文献】：
期刊论文
[1]QTL IciMapping:Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations[J]. Lei Meng,Huihui Li,Luyan Zhang,Jiankang Wang.  The Crop Journal. 2015(03)
[2]陆地棉衣分及相关性状的遗传和QTL分子标记[J]. 张培通,朱协飞,郭旺珍,张天真.  江苏农业学报. 2005(04)



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