生物技术通报 ›› 2024, Vol. 40 ›› Issue (5): 120-130.doi: 10.13560/j.cnki.biotech.bull.1985.2023-1120

• 研究报告 • 上一篇    下一篇

胡萝卜抽薹相关性状全基因组关联分析

孔小平(), 陈利文, 刘思思, 严湘萍   

  1. 西宁市蔬菜技术服务中心,西宁 810007
  • 收稿日期:2023-11-27 出版日期:2024-05-26 发布日期:2024-06-13
  • 通讯作者: 孔小平,女,博士,研究员,研究方向:蔬菜种质资源创新及育种;E-mail: xnsc_kong@126.com
  • 作者简介:孔小平,女,博士,研究员,研究方向:蔬菜种质资源创新及育种;E-mail: xnsc_kong@126.com
  • 基金资助:
    青海省科学技术厅项目(2021-ZJ-930)

Genome-wide Association Study of Bolting Related Traits in Carrot

KONG Xiao-ping(), CHEN Li-wen, LIU Si-si, YAN Xiang-ping   

  1. Xining Vegetable Technology Service Center, Xining 810007
  • Received:2023-11-27 Published:2024-05-26 Online:2024-06-13

摘要:

目的】胡萝卜受低温及长日照的影响易发生先期抽薹现象,挖掘与胡萝卜抽薹性状相关联的SNP位点及候选基因,有利于胡萝卜耐抽薹新品种的选育。【方法】以240份胡萝卜种质资源为材料,分别在2021年及2022年调查胡萝卜抽薹(抽薹时间、抽薹率、薹高、抽薹速度)性状,基于质控得到的高质量SNP位点进行抽薹相关性状的GWAS分析。【结果】240份胡萝卜种质资源的抽薹性状具有丰富的遗传多样性,对2年的数据进行分析发现各性状表型均有较大的变异,抽薹率的变异系数最大为144.32%、187.89%,抽薹时间的变异系数同比最小为94.89%和74.63%,BLUE值降低了环境所带来的误差,其变异系数最小为22.53%。相关性分析结果表明,2021年抽薹率与2022年的抽薹性状呈显著正相关,与BLUE值为极显著相关,BLUE值除与2021年的抽薹时间无显著相关外,与其它性状均为极显著相关。GWAS分析共检测到与抽薹性状显著相关的344 个SNP 标记位点,其中有20个多效位点,根据注释信息筛选出29个与抽薹相关的候选基因,主要与光周期途径、春化途径和开花整合子有关。【结论】通过GWAS分析获得多个与抽薹性状相关联的SNP位点,并挖掘到相关候选基因。

关键词: 胡萝卜, 种质资源, 抽薹, 全基因组关联分析, SNP标记

Abstract:

Objective】Carrot plants are prone to early bolting under the influence of low temperature and long sunshine. Exploring SNP loci and candidate genes associated with carrot bolting traits would be beneficial for the breeding of new carrot varieties that are resistant to bolting. 【Method】This study used 240 carrot germplasm resources as materials to investigate the characteristics of carrot bolt(bolt time, bolt rate, bolt height, and bolt speed)in 2021 and 2022, respectively. Through DNA sequencing and SNP variation detection, high-quality SNP loci obtained from quality control were used for genome-wide association study(GWAS)of bolting related traits. 【Result】The bolting traits of 240 carrot germplasm resources demonstrated rich genetic diversity. After analyzing the 2-year data, it was found that there was significant variation in the phenotypes of each trait, with the highest coefficient of variation for bolting rate being 144.32% and 187.89%, and the lowest coefficient of variation for bolting time being 94.89% and 74.63%, respectively. The BLUE value reduced the error caused by the environment, with the lowest coefficient of variation being 22.53%. The correlation analysis results showed that the bolting rate in 2021 was significantly positively correlated with the bolting traits in 2022, and was extremely significantly correlated with the BLUE value. The BLUE value was highly significantly correlated with other traits except for no significant correlation with the bolt time in 2021. Based on the group structure analysis and cluster analysis, the associated groups were divided into four subgroups. Through a 2-year GWAS of the correlation among bolting traits, a total of 344 SNP marker loci were detected that were significantly correlated with bolting traits. Among them, 20 multi-effect loci were significantly correlated with 2 or more bolting traits, and the same loci can be considered as the same SNP. Based on the annotation information, 29 candidate genes related to bolting were screened, of which 14 genes had inhibitory effects on bolting and flowering, and 13 genes that promoted bolting and flowering were mainly related to the photoperiod pathway, vernalization pathway, and flowering integron. The mechanism of action of the other two genes was not yet clear and thus further verification is needed.【Conclusion】Multiple SNP loci associated with bolting traits were obtained by GWAS analysis, and related candidate genes were identified.

Key words: carrot, germplasm resources, bolting, genome-wide association tudy, snp marker