Construction of a high-density genetic map by specific locus amplified fragment sequencing (SLAF-seq) and its application to Quantitative Trait Loci (QTL) analysis for boll weight in upland cotton (Gossypium hirsutum.)

文献类型: 外文期刊

第一作者: Zhen Zhang;;Haihong Shang;;Yuzhen Shi;;Long Huang

作者: Zhen Zhang;Haihong Shang;Yuzhen Shi;Long Huang;Junwen Li;Qun Ge;Juwu Gong;Aiying Liu;Tingting Chen;Dan Wang;Yanling Wang;Koffi Kibalou Palanga;Jamshed Muhammad;Weijie Li;Quanwei Lu;Xiaoying Deng;Yunna Tan;Weiwu Song;Juan Cai;Pengtao Li;Harun or Rashid;Wankui Gong;Youlu Yuan

作者机构:

关键词: Upland cotton (Gossypium hirsutum L.);Quantitative trait loci mapping;Specific locus amplified fragment sequencing;Boll weight;Single nucleotide polymorphism marker

期刊名称:BMC PLANT BIOLOGY ( 影响因子:4.215; 五年影响因子:4.96 )

ISSN: 1471-2229

年卷期: 2016 年 16 卷

页码:

收录情况: SCI

摘要: Background: Upland Cotton (Gossypium hirsutum) is one of the most important worldwide crops it provides natural high-quality fiber for the industrial production and everyday use. Next-generation sequencing is a powerful method to identify single nucleotide polymorphism markers on a large scale for the construction of a high-density genetic map for quantitative trait loci mapping. Results: In this research, a recombinant inbred lines population developed from two upland cotton cultivars 0-153 and sGK9708 was used to construct a high-density genetic map through the specific locus amplified fragment sequencing method. The high-density genetic map harbored 5521 single nucleotide polymorphism markers which covered a total distance of 3259.37 cM with an average marker interval of 0.78 cM without gaps larger than 10 cM. In total 18 quantitative trait loci of boll weight were identified as stable quantitative trait loci and were detected in at least three out of 11 environments and explained 4.15-16.70 % of the observed phenotypic variation. In total, 344 candidate genes were identified within the confidence intervals of these stable quantitative trait loci based on the cotton genome sequence. These genes were categorized based on their function through gene ontology analysis, Kyoto Encyclopedia of Genes and Genomes analysis and eukaryotic orthologous groups analysis. Conclusions: This research reported the first high-density genetic map for Upland Cotton (Gossypium hirsutum) with a recombinant inbred line population using single nucleotide polymorphism markers developed by specific locus amplified fragment sequencing. We also identified quantitative trait loci of boll weight across 11 environments and identified candidate genes within the quantitative trait loci confidence intervals. The results of this research would provide useful information for the next-step work including fine mapping, gene functional analysis, pyramiding breeding of functional genes as well as marker-assisted selection.

分类号:

  • 相关文献

[1]Identification of stable QTLs controlling fiber traits properties in multi-environment using recombinant inbred lines in Upland cotton (Gossypium hirsutum L.). Shang, Lianguang,Liang, Qingzhi,Wang, Xiaocui,Abduweli, Abdugheni,Ma, Lingling,Cai, Shihu,Hua, Jinping,Wang, Yumei,Wang, Kunbo.

[2]Yield components and quality of intercropped cotton in response to mepiquat chloride and plant density. Lili Mao,Lizhen Zhang,Jochem B. Evers,Wopke van der Werf,Shaodong Liu,Siping Zhang,Baomin Wang,Zhaohu Li.

[3]Identification of favorable SNP alleles and candidate genes for seedlessness in Vitis vinifera L. using genome-wide association mapping. Zhang, Heng,Fan, Xiucai,Zhang, Ying,Jiang, Jianfu,Liu, Chonghuai.

[4]QTL analysis of soybean oil content under 17 environments. Qi, Zhaoming,Hou, Meng,Xin, Dawei,Wang, Zhongyu,Zhu, Rongsheng,Hu, Zhenbang,Chen, Qingshan,Han, Xue,Jiang, Hongwei,Liu, Chunyan,Hu, Guohua,Li, Candong. 2014

[5]Quantitative Trait Loci Mapping of Maize Yield and Its Components Under Different Water Treatments at Flowering Time. Lu, Gui-He,Tang, Ji-Hua,Yan, Jian-Bing,Ma, Xi-Qing,Li, Jian-Sheng,Chen, Shao-Jiang,Ma, Jian-Cang,Liu, Zhan-Xian,Li-Zhu, E.,Zhang, Yi-Rong,Dai, Jing-Rui.

作者其他论文 更多>>