發(fā)布時(shí)間：2024-06-27 20:12

　　世界上超過(guò)6%的耕地是鹽堿地,因此種植耐鹽植物是當(dāng)務(wù)之急。用耐鹽陸地棉種質(zhì)“中棉所35”做父本,鹽敏感陸地棉種質(zhì)“南丹巴地大花”做母本進(jìn)行雜交,研究陸地棉苗期耐鹽性遺傳基礎(chǔ)。利用277個(gè)F2:3群體中共篩選出5178個(gè)SNP標(biāo)記構(gòu)建遺傳圖譜,圖譜跨度為4768.098 cM,平均距離為0.92 cM。在三種處理?xiàng)l件中(0 mM、110 mM和150 mM鹽處理)共檢測(cè)到66個(gè)與耐鹽性相關(guān)的10個(gè)性狀的QTL;其中有14個(gè)QTL在多個(gè)環(huán)境均能檢出,解釋表型變異的2.72%?9.87%,父母本的貢獻(xiàn)比例為3:1,10個(gè)來(lái)自鹽敏感親本,4個(gè)來(lái)自耐鹽親本;5個(gè)QTL位于At亞組,9個(gè)QTL位于Dt亞組。此外,確定了8個(gè)基因簇,鑒定出12個(gè)與耐鹽性相關(guān)的關(guān)鍵基因。本研究中,基于單核苷酸多態(tài)性的簡(jiǎn)化基因組測(cè)序(GBS-SNPs)的遺傳圖譜是第一個(gè)利用陸地棉耐感鹽材料構(gòu)建的高密度遺傳圖譜,有利于對(duì)陸地棉耐鹽性更深入研究;基因簇則可用于進(jìn)一步的QTL精細(xì)定位和克隆。纖維品質(zhì)和產(chǎn)量的提高對(duì)于棉花馴化和育種至關(guān)重要,隨著紡紗技術(shù)的轉(zhuǎn)變和市場(chǎng)的多樣性需求,棉纖維品質(zhì)和產(chǎn)量的發(fā)展具有更重要意義。本研究中獲得的...

【文章頁(yè)數(shù)】：121 頁(yè)

【學(xué)位級(jí)別】：博士

【文章目錄】：
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



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