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陸地棉纖維品質(zhì)性狀QTL鑒定與qFS21精細(xì)定位

發(fā)布時間:2021-04-29 19:49
  棉花是世界上最重要的天然纖維作物,也是重要植物油和蛋白來源作物。此外,棉花相關(guān)產(chǎn)業(yè)為全世界提供了大量就業(yè)機(jī)會。因此,棉花在世界經(jīng)濟(jì)發(fā)展中發(fā)揮著重要的作用。棉花作為纖維作物,其產(chǎn)量多少是棉農(nóng)主要關(guān)心的問題,然而紡織業(yè)關(guān)心的是棉花纖維品質(zhì)。棉花品質(zhì)性狀主要包括纖維長度、比強(qiáng)度和細(xì)度等,這些性狀是復(fù)雜的數(shù)量遺傳,其表現(xiàn)容易受到環(huán)境因素的影響。由于棉花產(chǎn)量與品質(zhì)間存在不利相關(guān)關(guān)系,因此傳統(tǒng)的育種方法改良棉花產(chǎn)量與纖維品質(zhì)相對較難。在定位數(shù)量性狀基因座(quantitative trait locus,QTL)的基礎(chǔ)上,利用與目標(biāo)性狀QTL緊密連鎖的分子標(biāo)記進(jìn)行分子標(biāo)記輔助選擇(Marker assisted selection,MAS)是一種有效的數(shù)量性狀改良方法。隨著棉花基因組測序的完成,QTL鑒定的效率得到了顯著的提高。近年來出現(xiàn)了許多以第二代測序技術(shù)為依托的群體基因型檢測技術(shù)已廣泛應(yīng)用于,如基于測序的基因分型(GBS)、限制性相關(guān)DNA測序(Restriction-site associated DNA sequencing,RAD-seq)、特定位點(diǎn)擴(kuò)增片段測序(Specific-lo... 

【文章來源】:西南大學(xué)重慶市 211工程院校 教育部直屬院校

【文章頁數(shù)】:108 頁

【學(xué)位級別】:博士

【文章目錄】:
摘要
Abstract
Chapter one Introduction
    1.1 Classification of Gossypium
    1.2 Cotton fiber development
        1.2.1 Fiber initiation
        1.2.2 Fiber elongation
        1.2.3 Fiber secondary wall thickening
        1.2.4 Fiber dehydration and maturity
    1.3 Genes controlling the cotton fiber development
        1.3.1 Fiber initiation related genes
        1.3.2 Fiber elongation related genes
        1.3.3 Fiber secondary wall thickening related genes
        1.3.4 Fiber dehydration and maturation related genes
    1.4 Cotton genomics
    1.5 Recent advances in cotton genetic map construction
        1.5.1 Interspecific genetic map of cotton
        1.5.2 Intraspecific genetic map of Upland Cotton
    1.6 Progress in mapping of important agronomic traits in cotton
        1.6.1 Preliminary QTL mapping for cotton fiber quality
        1.6.2 Advances in fine-mapping of important agronomic traits of cotton
Chapter Two Whole Genome QTL detection for fibre quality traits
    2.1 Introduction
    2.2 Materials and Methods
        2.2.1 Mapping Population
        2.2.2 Extraction and purification of total genomic DNA
        2.2.3 Genotyping of SSR primers
        2.2.4 SLAF library construction and high-throughput sequencing
        2.2.5 Sequencing data grouping and genotyping
        2.2.6 Linkage map construction
        2.2.7 Phenotypic data analysis
        2.2.8 Preliminary QTL detection for fiber quality
    2.3 Results and analysis
        2.3.1 Phenotypic analysis of fiber quality traits
        2.3.2 Analysis of SLAF-seq data and SLAF markers
        2.3.3 Construction of the genetic map
        2.3.4 Segregation distortion
        2.3.5 Collinearity between the genetic and the physical map
        2.3.6 QTL mapping
    2.4 Discussion
        2.4.1 Prominent features of SLAF-seq
        2.4.2 SLAF genetic map
        2.4.3 Segregation Distortion
        2.4.4 QTL cluster
        2.4.5 Stable and common QTL
    2.5 Conclusion
Chapter Three fine-mapping qFS21
    3.1 Introduction
    3.2 Materials and methods
        3.2.1 Plant Material
        3.2.2 Total genomic DNA extraction from genome
        3.2.3 Genotyping
        3.2.4 Construction of genetic map and QTL mapping
        3.2.5 RNA Extraction
        3.2.6 Parental expression profiling
    3.3 Results and analysis
        3.3.1 Fiber quality analysis
        3.3.2 Construction of high density genetic map in F2 Population
        3.3.3 QTL Mapping for fiber quality traits in F2 population
        3.3.4 Fine-mapping of Fiber quality QTL in F2:3 population
        3.3.5 Identification of candidate genes
    3.4 Discussion
        3.4.1 Fine-mapping population
        3.4.2 Pleiotropism or linkage for QTL affecting multiple fiber traits
        3.4.3 Candidate gene identification strategy
    3.5 Conclusion
        3.5.1 Construction of high density genetic map
        3.5.2 QTL fine-mapping
        3.5.3 Identification of candidate genes
References
Appendix
Acknowledgement
Publications


【參考文獻(xiàn)】:
期刊論文
[1]陸地棉優(yōu)質(zhì)纖維QTL的分子標(biāo)記篩選及優(yōu)質(zhì)來源分析[J]. 胡文靜,張曉陽,張?zhí)煺?郭旺珍.  作物學(xué)報. 2008(04)



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