摘要
以大白菜蜡质突变体YW71为对象,研究其亮绿无蜡粉性状的遗传规律和调控基因。通过遗传分析,表明YW71中的亮绿无蜡粉性状由隐性单基因控制。通过等位基因互补实验证明YW71的亮绿性状是BrWAX2等位突变引起的。序列分析表明,在YW71中BrWAX2基因在第3个外显子末端发生了39 bp的缺失,进而引起转录水平的可变剪切和翻译水平的提前终止。表达模式分析表明,BrWAX2基因在YW71茎和叶中表达量显著下降。此外,研究针对39 bp的变异开发并验证了共显性标记BrWAX2-In Del1。研究结果丰富了白菜类蔬菜蜡质突变遗传资源,将为亮绿无蜡粉品种的分子育种提供理论指导和技术支持。
In this study,we identified a wax-less Chinese cabbage(Brassica rapa)mutant YW71,the inheritance and the controlling gene for the glossy trait were studied extensively.Genetic analysis indicated that the glossy trait in YW71 was controlled by a single recessive locus.Allelic complementary experiment showed that the glossy trait in YW71 was caused by mutation of the gene BrWAX2.Sequence analysis revealed that a 39 bp deletion was identified at the end of the third exon of BrWAX2,resulting in alternative splicing at the transcription level and finally leading to a premature stop codon at the translation level.Expression analysis showed that BrWAX2 was significantly down-regulated in stems and leaves of glossy YW71.Furthermore,a co-dominant marker BrWAX2-InDel was developed and validated.Overall,these results enrich the genetic resources of glossy mutants and provide applicable markers for marker-assisted selection(MAS)-based breeding of Chinese cabbage,which has pivotal significance in theory and practice.
作者
杨双娟
唐昊
赵艳艳
魏小春
王志勇
苏贺楠
张文静
李林
王坐京
原玉香
张晓伟
YANG Shuangjuan;TANG Hao;ZHAO Yanyan;WEI Xiaochun;WANG Zhiyong;SU Henan;ZHANG Wenjing;LI Lin;WANG Zuojing;YUAN Yuxiang;ZHANG Xiaowei(Institute of Vegetables,Henan Academy of Agricultural Sciences,Zhengzhou 450002,Henan,China;College of Horticulture and Landscape Architecture,Henan Institute of Science and Technology,Xinxiang 453003,Henan,China)
出处
《中国瓜菜》
CAS
北大核心
2024年第1期32-38,共7页
China Cucurbits And Vegetables
基金
河南省农业科学院优秀青年科技基金(2022YQ10)
河南省农业科学院科技创新团队(2022TD06)
河南省自然科学基金(222300420197)
国家自然科学基金(32202485)
河南省重点研发专项(221111110100)
河南省农业良种联合攻关项目(2022010504)
农业农村部现代农业产业技术体系建设专项资金(CARS-23-G15)。
关键词
大白菜
亮绿突变体
等位基因互补实验
序列变异分析
Chinese cabbage
Glossy mutant
Allelic complementary experiment
Sequence variation analysis