陆地棉种内杂交F 2:3 群体的耐盐性、纤维品质和产量性状的QTL定位
发布时间：2024-06-27 20:12
世界上超过6%的耕地是盐碱地,因此种植耐盐植物是当务之急。用耐盐陆地棉种质“中棉所35”做父本,盐敏感陆地棉种质“南丹巴地大花”做母本进行杂交,研究陆地棉苗期耐盐性遗传基础。利用277个F2:3群体中共筛选出5178个SNP标记构建遗传图谱,图谱跨度为4768.098 cM,平均距离为0.92 cM。在三种处理条件中(0 mM、110 mM和150 mM盐处理)共检测到66个与耐盐性相关的10个性状的QTL;其中有14个QTL在多个环境均能检出,解释表型变异的2.72%?9.87%,父母本的贡献比例为3:1,10个来自盐敏感亲本,4个来自耐盐亲本;5个QTL位于At亚组,9个QTL位于Dt亚组。此外,确定了8个基因簇,鉴定出12个与耐盐性相关的关键基因。本研究中,基于单核苷酸多态性的简化基因组测序(GBS-SNPs)的遗传图谱是第一个利用陆地棉耐感盐材料构建的高密度遗传图谱,有利于对陆地棉耐盐性更深入研究;基因簇则可用于进一步的QTL精细定位和克隆。纤维品质和产量的提高对于棉花驯化和育种至关重要,随着纺纱技术的转变和市场的多样性需求,棉纤维品质和产量的发展具有更重要意义。本研究中获得的...
【文章页数】：121 页
【学位级别】：博士
【文章目录】：
摘要
Abstract
Abbreviations
CHAPTER 1: INTRODUCTION
1.1 Introduction of cotton
1.1.1 Taxonomy
1.1.2 Growing Conditions
1.1.3 World Economic Impact
1.2 Soil Salinity
1.2.1 World Salinity Conditions
1.2.2 Salinity Classification
1.2.3 Salinity Causes
1.2.4 Measurement of Soil Salinity
1.2.5 Impact of Salinity on Agriculture
1.2.6 Salinity Preventions
1.2.7 Factors Influencing Tolerance to Crops
1.3 Contribution of Breeding Program in Salinity Tolerance
1.3.1 Conventional Breeding
1.3.2 Molecular Breeding
1.4 Quantitative Trait Loci (QTLs) Mapping on Salt Tolerance
1.5 QTL Mapping of Fiber Quality and Yield Related Traits
1.6 Objectives
CHAPTER 2: MATERIALS AND METHODS
2.1 Plant Materiel, Growth Conditions and Data Collection for Salt Tolerance Traits
2.1.1 Greenhouse Experiment
2.1.2 Salt Solution Preparation
2.1.3 Sample Collection, Library Preparation, Sequencing and SNP Genotyping for QTL mapping of salt tolerance traits
2.1.4 Data Analysis for QTL Mapping of Salt Tolerance Traits
2.1.5 Construction of the Linkage Maps and QTL Mapping Analyses of Salt Tolerance Traits
2.1.6 Collinearity Analysis
2.2 Plant Materials, Growth Conditions and Data Collection for Fiber Quality and Yield Related Traits
2.2.1 Sample Collection, Library Preparation, Sequencing and SNP Genotyping for Fiber Quality and Yield Related Traits
2.2.2 Data Analysis, Linkage Map Construction and QTL Mapping of Fiber Quality and Yield Related Traits
CHAPTER 3: RESULTS
3.1 QTL Mapping of Salt Tolerance Traits
3.1.1 Quality Control and Mapping to Reference Genome
3.1.2 SNP Detection and Annotation
3.1.3 Phenotypic Variation between Parents
3.1.4 ANOVA and Heritability Analysis of Salt Tolerance Traits for the Two Parents and the Progenies
3.1.5 Correlation Analysis
3.1.6 Construction of the Linkage Maps
3.1.7 Clustered QTL’s Region
3.1.8 Identification of Candidate Genes
3.1.9 Collinearity Analysis
3.2 QTL Mapping of Fiber Quality and Yield Related Traits
3.2.1 Quality Control and Mapping to Reference Genome
3.2.2 SNP Detection and Annotation
3.2.3 Phenotypic Variation between the two Parents
3.2.4 Correlation Analysis
3.2.5 ANOVA, Broad Sense Heritability and Phenotypic Analysis of Fiber Quality for the two Parents and the Progenies
3.2.6 Construction of the Linkage Maps
3.2.7 Identification of Consistent and Clustering QTLs for Yield Related and Fiber Quality Traits
3.2.8 The Gene Ontology Enrichment Analysis Based on QTL Clusters
CHAPTER 4: DISCUSSION
4.1 QTL mapping of Salt Tolerance Traits
4.2 QTL Mapping of Fiber Quality and Yield Related Traits
Conclusion
References
Acknowledgements
Curriculum Vitae
Appendixes
本文编号：3995882
【文章页数】：121 页
【学位级别】：博士
【文章目录】：
摘要
Abstract
Abbreviations
CHAPTER 1: INTRODUCTION
1.1 Introduction of cotton
1.1.1 Taxonomy
1.1.2 Growing Conditions
1.1.3 World Economic Impact
1.2 Soil Salinity
1.2.1 World Salinity Conditions
1.2.2 Salinity Classification
1.2.3 Salinity Causes
1.2.4 Measurement of Soil Salinity
1.2.5 Impact of Salinity on Agriculture
1.2.6 Salinity Preventions
1.2.7 Factors Influencing Tolerance to Crops
1.3 Contribution of Breeding Program in Salinity Tolerance
1.3.1 Conventional Breeding
1.3.2 Molecular Breeding
1.4 Quantitative Trait Loci (QTLs) Mapping on Salt Tolerance
1.5 QTL Mapping of Fiber Quality and Yield Related Traits
1.6 Objectives
CHAPTER 2: MATERIALS AND METHODS
2.1 Plant Materiel, Growth Conditions and Data Collection for Salt Tolerance Traits
2.1.1 Greenhouse Experiment
2.1.2 Salt Solution Preparation
2.1.3 Sample Collection, Library Preparation, Sequencing and SNP Genotyping for QTL mapping of salt tolerance traits
2.1.4 Data Analysis for QTL Mapping of Salt Tolerance Traits
2.1.5 Construction of the Linkage Maps and QTL Mapping Analyses of Salt Tolerance Traits
2.1.6 Collinearity Analysis
2.2 Plant Materials, Growth Conditions and Data Collection for Fiber Quality and Yield Related Traits
2.2.1 Sample Collection, Library Preparation, Sequencing and SNP Genotyping for Fiber Quality and Yield Related Traits
2.2.2 Data Analysis, Linkage Map Construction and QTL Mapping of Fiber Quality and Yield Related Traits
CHAPTER 3: RESULTS
3.1 QTL Mapping of Salt Tolerance Traits
3.1.1 Quality Control and Mapping to Reference Genome
3.1.2 SNP Detection and Annotation
3.1.3 Phenotypic Variation between Parents
3.1.4 ANOVA and Heritability Analysis of Salt Tolerance Traits for the Two Parents and the Progenies
3.1.5 Correlation Analysis
3.1.6 Construction of the Linkage Maps
3.1.7 Clustered QTL’s Region
3.1.8 Identification of Candidate Genes
3.1.9 Collinearity Analysis
3.2 QTL Mapping of Fiber Quality and Yield Related Traits
3.2.1 Quality Control and Mapping to Reference Genome
3.2.2 SNP Detection and Annotation
3.2.3 Phenotypic Variation between the two Parents
3.2.4 Correlation Analysis
3.2.5 ANOVA, Broad Sense Heritability and Phenotypic Analysis of Fiber Quality for the two Parents and the Progenies
3.2.6 Construction of the Linkage Maps
3.2.7 Identification of Consistent and Clustering QTLs for Yield Related and Fiber Quality Traits
3.2.8 The Gene Ontology Enrichment Analysis Based on QTL Clusters
CHAPTER 4: DISCUSSION
4.1 QTL mapping of Salt Tolerance Traits
4.2 QTL Mapping of Fiber Quality and Yield Related Traits
Conclusion
References
Acknowledgements
Curriculum Vitae
Appendixes
本文编号：3995882
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