黄淮南片麦区小麦粒重基因TaSus2-2B和TaGw8-B1等位变异的分子检测
Molecular Detection of TaSus2-2B and TaGw8-Bl Genes Controlling Grain Weight in Huanghuai Southern Wheat Region
陈杰 1赵君瑶 2宋全昊 1张星宇 2白冬 1宋佳静 1宋晓朋 1梁宝萍 1金艳 1赵立尚 1朱统泉1
作者信息
- 1. 河南省驻马店市农业科学院,驻马店,463000
- 2. 河南农业大学农学院,郑州,450002
- 折叠
摘要
为了解小麦粒重相关基因TaSus2-2B和TaGw8-B1等位变异在黄淮南片麦区新育小麦品种中的分布情况,本研究利用其功能标记TaSus2-1、TaSus2-2和TaGw8-7B对94个供试材料的TaSus2-2B和TaGw8-B1位点的等位基因进行分子检测,并探讨了这些等位基因与小麦粒重之间的关系.研究结果表明,供试材料的千粒重平均值为45.46 g,标准差为2.98,变幅为39.5～52.3 g,这批供试材料以中等粒重的品种占比较高;在TaSus2-2B位点,共检测到TaSus2-2Ba和TaSus2-2Bb两种等位基因,分布频率分别为25.53％和74.47％,携带等位基因TaSus2-2Ba材料的粒重显著高于TaSus2-2Bb等位基因(P＜0.05),等位基因TaSus2-2Ba与高粒重相关,等位基因TaSus2-2Bb与低粒重相关;在TaGw8-B1位点,仅检测到TaGw8-B1a等位基因,这批供试材料TaGw8-B1位点的多态性较为单一.本研究能够为黄淮南片麦区小麦粒重的分子改良提供参考信息.
Abstract
In order to understand the distribution of allelic variants of wheat kernel weight-related genes TaSus2-2B and TaGw8-B1 in newly bread wheat varieties from Huanghuai southern region,in this study,the functional markers TaSus2-1,TaSus2-2 and TaGw8-7B were used to detect the alleles of TaSus2-2B and TaGw8-B1 in 94 test materials,and explored the relationship between the alleles and grain weight.The results showed that the aver-age value of thousand-grain weight was 45.46 g,the standard deviation was 2.98,and the range was 39.5～52.3 g.The medium grain weight of the tested materials accounted for a higher proportion.In the TaSus2-2B locus,the fre-quency of the tested wheat varieties with TaSus2-2Ba allele was 25.53％,and TaSus2-2Bb allele was 74.47％.The grain weight of the TaSus2-2Ba allele was significantly higher than that of TaSus2-2Bb allele(P＜0.05),TaSus2-2Ba allele was associated with high grain weight,and TaSus2-2Bb allele was associated with low grain weight.In the TaGw8-B1 locus,only TaGw8-B1a alleles were detected,and the polymorphism of TaGw8-B1 locus in these materials was relatively single.This study can provide reference information for the molecular improvement of wheat grain weight in Huanghuai southern wheat region.
关键词
小麦/粒重/等位变异/功能标记Key words
Bread wheat/Grain weight/Allelic variation/Functional marker引用本文复制引用
出版年
2024
NETL
NSTL
万方数据