Screening and application of SSR markers related to seed storability traits in maize (Zea mays L.)

被引:0
作者
Xiaoyang Guo
Xiaohui Sun
Shan Liu
Chengxu Gong
Chenchen Feng
Xiao Han
Tingting Lv
Yu Zhou
Zhenhua Wang
Hong Di
机构
[1] Northeast Agricultural University,Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University
[2] Ministry of Education,undefined
来源
Genetic Resources and Crop Evolution | 2021年 / 68卷
关键词
Maize; Seed storability; SSR markers; QTL analysis;
D O I
暂无
中图分类号
学科分类号
摘要
In this study, a maize F2:3 population and a population of RILs were constructed from a cross between Dong156 and Dong237, and SSR markers were then used to map QTL. A phenotypic index of the traits (N = 6) commonly related to seed storability, such as the germination energy, germination percentage, germination index, vigor index, seedling length, and simple vigor index generated under artificial aging treatment. Two consistent regions, cQTL-7 on chromosome 7 and cQTL-10 on chromosome 10, were identified by comparing QTL analysis results from these two populations. The four SSR markers (umc1671, phi328175, umc1648 and phi050) linked to cQTL-7 and cQTL-10 were selected using a Chi-squared test. Marker umc1648 exhibited the highest selection efficiency value of 88.89%. The four SSR markers were used to identify genomic regions related to storability in 141 maize inbred lines from NCRPIS. Finally, seven lines were identified that included the two regions consistently associated with superior seed storability. These results indicated that the four SSR markers screened in this study could be used for selection of maize germplasm with a high degree of seed storability.
引用
收藏
页码:2521 / 2535
页数:14
相关论文
共 223 条
[21]  
Wu Z(2012)Rapid isolation of high molecular weight plant DNA Plant Physiol Biochem 57 261-13
[22]  
Churchill GA(2008)ROS production and lipid catabolism in desiccating Shorea robusta seeds during aging CR Biol 331 796-39
[23]  
Doerge RW(2008)Seed longevity: survival and maintenance of high germination ability of dry seeds Plant Physiol 148 620-471
[24]  
Conelly WT(2011)Proteome-wide characterization of seed aging in Arabidopsis: a comparison between artificial and natural aging protocols Euphytica 186 1-191
[25]  
Chaiken MS(2013)Genetic studies of seed longevity in hexaploid wheat using segregation and association mapping approaches BMC Genom 14 313-759
[26]  
Debeaujon I(2016)Meta-analyses of QTL for grain yield and anthesis silking interval in 18 maize populations evaluated under water-stressed and well-watered environments Crop J 4 30-373
[27]  
Leon-Kloosterziel KM(2016)Comparative QTL analysis of maize seed artificial aging between an immortalized F2 population and its corresponding RILs Planta 243 459-539
[28]  
Koornneef M(2019)A comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize ( J Plant Growth Regul 33 181-598
[29]  
Di H(2010) L.) Acta Physiol Plant 56 749-423
[30]  
Liu XJ(2014)Integrated meta-QTL and genome-wide association study analyses reveal candidate genes for maize yield J Integr Plant Biol 143 126138-1468