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陆地棉高密度SLAF-SNP遗传图谱构建及纤维品质性状的QTL定位

A high density SLAF-SNP genetic map and QTL detection for fibre quality traits in Gossypium hirsutum.

作者信息

Ali Iftikhar, Teng Zhonghua, Bai Yuting, Yang Qing, Hao Yongshui, Hou Juan, Jia Yongbin, Tian Lixia, Liu Xueying, Tan Zhaoyun, Wang Wenwen, Kenneth Kiirya, Sharkh Abdalla Yousef Ahmed, Liu Dexin, Guo Kai, Zhang Jian, Liu Dajun, Zhang Zhengsheng

机构信息

College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.

出版信息

BMC Genomics. 2018 Dec 6;19(1):879. doi: 10.1186/s12864-018-5294-5.

Abstract

BACKGROUND

Upland Cotton (Gossypium hirsutum) is a very important cash crop known for its high quality natural fiber. Recent advances in sequencing technologies provide powerful tools with which to explore the cotton genome for single nucleotide polymorphism marker identification and high density genetic map construction toward more reliable quantitative trait locus mapping.

RESULTS

In the present study, a RIL population was developed by crossing a Chinese high fiber quality cultivar (Yumian 1) and an American high fiber quality line (CA3084), with distinct genetic backgrounds. Specific locus amplified fragment sequencing (SLAF-seq) technology was used to discover SNPs, and a genetic map containing 6254 SNPs was constructed, covering 3141.72 cM with an average distance of 0.5 cM between markers. A total of 95 QTL were detected for fiber quality traits in three environments, explaining 5.5-24.6% of the phenotypic variance. Fifty-five QTL found in multiple environments were considered stable QTL. Nine of the stable QTL were found in all three environments. We identified 14 QTL clusters on 13 chromosomes, each containing one or more stable QTL.

CONCLUSION

A high-density genetic map of Gossypium hirsutum developed by using specific locus amplified fragment sequencing technology provides detailed mapping of fiber quality QTL, and identification of 'stable QTL' found in multiple environments. A marker-rich genetic map provides a foundation for fine mapping, candidate gene identification and marker-assisted selection of favorable alleles at stable QTL in breeding programs.

摘要

背景

陆地棉(Gossypium hirsutum)是一种非常重要的经济作物,以其高品质的天然纤维而闻名。测序技术的最新进展提供了强大的工具,可用于探索棉花基因组以鉴定单核苷酸多态性标记,并构建高密度遗传图谱,从而实现更可靠的数量性状位点定位。

结果

在本研究中,通过将具有不同遗传背景的中国高纤维品质品种(豫棉1号)和美国高纤维品质品系(CA3084)杂交,构建了一个重组自交系群体。利用特异性位点扩增片段测序(SLAF-seq)技术发现单核苷酸多态性(SNP),并构建了一个包含6254个SNP的遗传图谱,覆盖3141.72厘摩,标记间平均距离为0.5厘摩。在三个环境中总共检测到95个纤维品质性状的数量性状位点,解释了5.5%-24.6%的表型变异。在多个环境中发现的55个数量性状位点被认为是稳定的数量性状位点。其中9个稳定的数量性状位点在所有三个环境中均被发现。我们在13条染色体上鉴定出14个数量性状位点簇,每个簇包含一个或多个稳定的数量性状位点。

结论

利用特异性位点扩增片段测序技术构建的陆地棉高密度遗传图谱,为纤维品质数量性状位点提供了详细定位,并鉴定出在多个环境中发现的“稳定数量性状位点”。富含标记的遗传图谱为精细定位、候选基因鉴定以及在育种计划中对稳定数量性状位点上有利等位基因进行标记辅助选择奠定了基础

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/6282304/6a2e986a23fd/12864_2018_5294_Fig1_HTML.jpg

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