| 基于SSR标记关联分析挖掘大豆灰斑病10号生理小种抗病资源 |
| |
| 引用本文： | 弟文静,梁晓宇,马淑梅,王洋.基于SSR标记关联分析挖掘大豆灰斑病10号生理小种抗病资源[J].中国油料作物学报,2021,43(6):1132. |
| |
| 作者姓名： | 弟文静 梁晓宇 马淑梅 王洋 |
| |
| 作者单位： | 黑龙江大学现代农业与生态环境学院，黑龙江 哈尔滨，150080 |
| |
| 基金项目： | 农业部作物种质资源保护(2018NWB036-12) |
| |
| 摘 要： | 培育灰斑病抗性品种可降低灰斑病对大豆生产的危害。本研究以202份黑龙江省近25年主栽的大豆品种构建关联群体，在人工接种条件下鉴定大豆品种对灰斑病10号生理小种抗病指数。利用187对SSR标记对遗传多样性、群体结构和连锁不平衡位点进行分析，通过GLM 和MLM两种模型对大豆品种的灰斑病抗性与标记进行关联分析，进一步分析抗性关联位点等位变异与抗性表型效应关系。结果表明：202份大豆品种对灰斑病10号生理小种抗性遗传变异系数为14.26%；187个标记在群体中共获得809个等位变异，平均等位变异为4.42个，变幅2~10个，其中17号染色体的平均PIC值最高（0.64），12号染色体的平均PIC值最低（0.26）；检测到稀有等位变异146个，特有等位变异位点58个；无论共线性组合位点还是非共线性组合位点均存在不同程度LD，连锁不平衡P<0.05支持的对数占总对数的21.65%；202份大豆品种被划分为3个亚群，亚群POP1与POP3之间遗传距离最小（0.03），亚群POP2与POP3之间遗传距离最大（0.35）；两种模型共同检测到11个SSR标记与灰斑病10号生理小种抗性显著关联，其中位于3号染色体上的Satt549的贡献率最大，可解释表型变异14.74%；具有增效效应的等位变异共有24个，增效效应超过10的等位变异有7个，增效效应最大为Satt703-247（19.62），典型载体材料为合丰29；其次是Satt587-185（19.58），典型载体材料为东农50；Satt549位点增效等位变异的平均效应值最高（13.87），Sat_366位点增效等位变异的平均效应值最低（0.84）。聚合优异等位变异和载体材料可为培育抗灰斑病品种的亲本选配和后代等位条带辅助选择提供依据。
|
| 关 键 词： | 大豆 灰斑病 10号生理小种 抗病指数 关联分析 |
| 收稿时间： | 2020-04-03 |
Association analysis of resistance of soybean to Cercospora sojina Hara Race 10 based on SSR markers |
| |
| Wen-jing DI,Xiao-yu LIANG,Shu-mei MA,Yang WANG.Association analysis of resistance of soybean to Cercospora sojina Hara Race 10 based on SSR markers[J].Chinese Journal of Oil Crop Sciences,2021,43(6):1132. |
| |
| Authors: | Wen-jing DI Xiao-yu LIANG Shu-mei MA Yang WANG |
| |
| Institution: | Department of Modern Agriculture and Ecological Environment，Heilongjiang University，Harbin 150080, China |
| |
| Abstract: | Breeding for resistant variety will reduce its damage of Cercospora sojina to soybean. Association mapping is a method based on linkage disequilibrium (LD) to detect alleles in natural population. In current study, a natural populations including 202 soybean varieties in the past 25 years were constructed, and the resistance of all materials was determined by artificial inoculation with Race 10. Genetic diversity, population structure and linkage disequilibrium loci were estimated with 187 simple sequence repeat（SSR）markers. Association analysis for soybean resistance was performed by GLM (general linear model) and MLM (mixed linear model) program. To further analyze the relationship between elite alleles and phenotypic effects of resistance associated loci. The results showed that valuable coefficient of the resistance in 202 varieties was 14.26%. 809 polymorphic alleles were detected with 187 pairs of SSR primers. For each pair primer, 2 to 10 alleles were detected in all cultivars with an average of 4.42 alleles. The average PIC value of chromosome 17 was the highest (0.64) and that of chromosome 12 was the lowest (0.26). 146 specifically existent alleles and 58 rare alleles were detected. Linkage disequilibrium was detected extensively not only among syntenic markers but also among nonsyntenic ones, while the loci pairs with R2<0.05 accounted for 21.65% of the total ones. 202 soybean varieties were classified into three subpopulations, the genetic distance between subpopulations POP1 and POP3 is the smallest (0.03), and the genetic distance between subpopulations POP2 and POP3 is the largest (0.35). A total of 11 SSR markers were found to be significantly associated with soybean resistance to Race 10 in both models..Satt549 showed the highest contribution rate of 14.74%. 24 positive alleles were revealed among them 7 alleles had a positive phenotypic effect value greater than 10. Satt703-247 (19.62) showed the highest positive phenotypic effect, and was carried by Hefeng29; the second one was Satt587-185 (19.58). the carrier varieties was Dongnong50. Average positive allele effect of Satt549 locus was the highest (13.87), and that of Sat_366 locus was the lowest (0.84). The clustered multiple alleles and carrier varieties could be used in parent selection for pyramiding novel alleles and marker-assisted selection for breeding soybean varieties resistant to Cercospora sojina Hara. |
| |
| Keywords: | soybean Cercospora sojina Hara Race10 resistance index association analysis |
|
| 点击此处可从《中国油料作物学报》浏览原始摘要信息 |
| 点击此处可从《中国油料作物学报》下载免费的PDF全文 |
