生物技术通报 ›› 2025, Vol. 41 ›› Issue (9): 54-61.doi: 10.13560/j.cnki.biotech.bull.1985.2025-0351

• 技术与方法 • 上一篇    下一篇

基于BSA-seq的番木瓜株高候选基因定位

吴夏明(), 周陈平, 杨敏, 徐泽, 邝瑞彬, 刘传和, 贺涵, 魏岳荣()   

  1. 广东省农业科学院果树研究所 农业农村部南亚热带果树生物学与遗传资源利用重点实验室 广东省果树科学与技术研究重点实验室,广州 510640
  • 收稿日期:2025-04-02 出版日期:2025-09-26 发布日期:2025-09-24
  • 通讯作者: 魏岳荣,男,博士,研究员,研究方向 :亚热带作物种质资源收集评价、细胞工程和分子育种;E-mail: weid18@163.com
  • 作者简介:吴夏明,男,博士,助理研究员,研究方向 :草莓、番木瓜的遗传育种及生物技术;E-mail: wuxiaming625@126.com
  • 基金资助:
    广州市重点研发计划(2023B03J1369);广东省农业科学院果树研究所自主培育项目(2023001);2024年广东省乡村振兴战略专项(2024-NPY-00-028)

Gene Mapping of Plant Height in Papaya Based on BSA-seq

WU Xia-ming(), ZHOU Chen-ping, YANG Min, XU Ze, KUANG Rui-bin, LIU Chuan-he, HE Han, WEI Yue-rong()   

  1. Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Science and Technology Research on Fruit Tree, Guangzhou 510640
  • Received:2025-04-02 Published:2025-09-26 Online:2025-09-24

摘要:

目的 株高是影响番木瓜产量和品质的重要性状之一,定位番木瓜株高的主要候选基因,为番木瓜的矮化育种提供基因资源。 方法 以YY(植株较高)和GM(植株较矮)为亲本构建定位群体,利用BSA-seq技术对两亲本以及子代混池GY-H(高池)和GY-S(矮池)进行测序分析,数据经质控后,利用ED以及SNP-index法计算混池之间的基因频率差距,定位番木瓜株高候选区间。 结果 本次BSA-seq产生的数据良好,数据经过滤后,最终得到高质量的SNP位点337 980个用于基因定位,利用ED以及SNP-index法计算寻找混池之间基因型频率的显著差异,最终分别在第3、6和8染色体上共定位到大小为0.93 Mb的候选区间,将该区间与番木瓜‘紫晖’参考基因组比对,0.93 Mb的区间内共包含46个编码基因,其中,有37个基因被注释。 结论 Cp_zihui12764、Cp_zihui06963、Cp_zihui07024和Cp_zihui12732可能是调控番木瓜株高的候选基因。

关键词: 番木瓜, 株高, BSA-seq, 基因定位, 候选基因

Abstract:

Objective Plant height is one of the most important traits affecting the yield and quality of papaya (Carica papaya), and mapping the major candidate genes for papaya plant height provides genetic resources for the dwarf breeding of papaya. Method We used YY (taller plant) and GM (shorter plant) as the parents to construct a mapping population. The two parents and the offspring pools GY-H (taller pool) and GY-S (shorter pool) were then sequenced using BSA-seq technology. After the data were quality-controlled, the gene frequency gap between the pools was calculated by using the ED and SNP-index methods to locate the candidate intervals of the papaya plant height. Result The BSA-seq generated high-quality data, resulting in 337 980 SNP loci for gene mapping. The significant differences in genotype frequencies between the mixed pools were calculated using the ED and SNP-index methods, leading to the localization of candidate intervals with a size of 0.93 Mb on chromosome 3, 6, and 8. The interval was compared to the ‘Zihui’ papaya reference genome and found to contain 46 coding genes, 37 of which were annotated to various databases. Conclusion Cp_zihui12764, Cp_zihui06963, Cp_zihui07024, and Cp_zihui12732 are likely to be candidate genes to regulate the heights of the papaya plants.

Key words: Carica papaya, plant height, BSA-seq, gene mapping, candidate gene