Construction of a Genetic Map by Resequencing and Specific Locus Amplified Fragment sequencing (SLAF-seq) for QTL fine mapping of plant height in upland cotton (Gossypium hirsutum L.)

Pub Date : 2020-08-27 DOI:10.21203/rs.3.rs-64347/v1
Wenqing Qiao, Gentu Yan, Ning Wang, Qun Huang
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Abstract

Background: Gossypium hirsutum (upland cotton), the most widely cultivated cotton species in the world, is an important raw material for the textile industry. Using high-throughput sequencing to construct high-density genetic maps can be widely used in quantitative trait locus (QTL) mapping and molecular marker-assisted breeding.Results: In this study, an F2 population was used to construct a genetic map by parental resequencing and progeny SLAF-seq. The F2 population consisted of Gossypium hirsutum L. cultivars: CCRI 49 and 396289. The genetic map contained 4,607 single nucleotide polymorphisms markers, which overlapped a total length of 3,063.4 cM with an average genetic distance of 0.898 cM between adjacent markers. A high-density genetic map was used to map the QTLs of plant height in four environments. 16 QTLs were obtained, which could explain 2.07%–19.04% of the phenotypic variation. A total of 1,028 candidate genes were identified in the confidence interval and were categorized according to function through cluster of orthologous groups analysis, gene ntology analysis, and Kyoto Encyclopedia of Genes and Genomes analysis. Within the QTLs confidence interval, the D05 chromosome(ChrD05) was finely mapped using Mutmap-like strategy, and the reliability was validated by qRT-PCR of 18 candidate genes . Finally, we obtained 14 candidate genes that are most likely to be related to plant height.Conclusions: This study provides a successful application of parental sequencing and progeny SLAF-seq strategy in the genetic map of upland cotton in an F2 population. This study provides theoretical support for molecular marker-assisted breeding and plant height-heterosis in upland cotton and provides a fine mapping scheme for QTLs. In addition, the combination of multiple analytical methods also provided a solution for QTL fine mapping.
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利用重测序和特异性位点扩增片段测序(SLAF-seq)构建陆地棉株高QTL精细定位
背景:陆地棉(Gossypium hirsutum)是世界上种植最广泛的棉花品种,是纺织工业的重要原料。利用高通量测序技术构建高密度遗传图谱,可广泛应用于数量性状位点定位和分子标记辅助育种。结果:本研究采用亲代重测序和子代slf -seq技术构建了F2群体的遗传图谱。F2群体由棉花品种CCRI 49和396289组成。该遗传图谱包含4607个单核苷酸多态性标记,重叠总长度为3063.4 cM,相邻标记之间的平均遗传距离为0.898 cM。利用高密度遗传图谱对4种环境下的株高qtl进行定位。共获得16个qtl,可解释表型变异的2.07% ~ 19.04%。在置信区间内共鉴定出1028个候选基因,并通过同源群聚类分析、基因本体分析和京都基因与基因组百科全书分析对候选基因进行功能分类。在QTLs置信区间内,利用mutmap -样策略对D05染色体(ChrD05)进行精细定位,并对18个候选基因进行qRT-PCR验证可靠性。最后,我们获得了14个最有可能与株高相关的候选基因。结论:本研究为陆地棉F2群体亲本测序和后代slf -seq策略的成功应用提供了依据。该研究为陆地棉的分子标记辅助育种和株高杂种优势提供了理论支持,并为qtl的定位提供了精细方案。此外,多种分析方法的结合也为QTL精细定位提供了解决方案。
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