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基于SLAF-seq技术的芍药花色相关性状SNP位点关联分析

Association study of SNP locus for color related traits in herbaceous peony () using SLAF-seq.

作者信息

Liu Genzhong, Li Ying, Sun Xia, Guo Xianfeng, Jiang Nannan, Fang Yifu, Chen Junqiang, Bao Zhilong, Ma Fangfang

机构信息

State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai-An, Shandong, China.

College of Forestry, Shandong Agricultural University, Tai-An, Shandong, China.

出版信息

Front Plant Sci. 2022 Dec 5;13:1032449. doi: 10.3389/fpls.2022.1032449. eCollection 2022.

Abstract

. () is a famous ornamental plant with showy and colorful flowers that has been domesticated in China for 4,000 years. However, the genetic basis of phenotypic variation and genealogical relationships in population is poorly understood due to limited genetic information, which brings about bottlenecks in the application of effective and efficient breeding strategies. Understanding the genetic basis of color-related traits is essential for improving flower color by marker-assisted selection (MAS). In this study, a high throughput sequencing of 99 diploid accessions specific-locus amplified fragment sequencing (SLAF-seq) technology was performed. In total, 4,383,645 SLAF tags were developed from 99 accessions with an average sequencing depth of 20.81 for each SLAF tag. A total of 2,954,574 single nucleotide polymorphisms (SNPs) were identified from all SLAF tags. The population structure and phylogenetic analysis showed that population used in this study could be divided into six divergent groups. Through association study using Mixed linear model (MLM), we further identified 40 SNPs that were significantly positively associated with petal color. Moreover, a derived cleaved amplified polymorphism (dCAPS) marker that was designed based on the SLAF tag 270512F co-segregated with flower colors in population. Taken together, our results provide valuable insights into the application of MAS in breeding programs.

摘要

. ()是一种著名的观赏植物,花朵艳丽多彩,在中国已被驯化了4000年。然而,由于遗传信息有限,人们对其种群中表型变异的遗传基础和谱系关系了解甚少,这给有效且高效的育种策略的应用带来了瓶颈。了解与颜色相关性状的遗传基础对于通过标记辅助选择(MAS)改善花色至关重要。在本研究中,对99个二倍体种质进行了高通量测序,采用了特异性位点扩增片段测序(SLAF-seq)技术。总共从99个种质中开发出4383645个SLAF标签,每个SLAF标签的平均测序深度为20.81。从所有SLAF标签中总共鉴定出2954574个单核苷酸多态性(SNP)。种群结构和系统发育分析表明,本研究中使用的种群可分为六个不同的组。通过使用混合线性模型(MLM)进行关联研究,我们进一步鉴定出40个与花瓣颜色显著正相关的SNP。此外,基于SLAF标签270512F设计的衍生酶切扩增多态性(dCAPS)标记与种群中的花色共分离。综上所述,我们的结果为MAS在育种计划中的应用提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64ce/9760751/60b032f0b1c9/fpls-13-1032449-g001.jpg

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