QTL Mapping and Validation for Kernel Area and Circumference in Common Wheat via High-Density SNP-Based Genotyping.

QTL Mapping and Validation for Kernel Area and Circumference in Common Wheat via High-Density SNP-Based Genotyping.
复制标题

DOI:
10.3389/fpls.2021.713890
复制
发表时间:
2021
影响因子:
5.6
通讯作者:
Li Z
Li Z
中科院分区:
生物学2区
文献类型:
--
作者:
Ren T;Fan T;Chen S;Ou X;Chen Y;Jiang Q;Diao Y;Sun Z;Peng W;Ren Z;Tan F;Li Z

文献摘要

参考文献

被引文献

相似文献

As an important component, 1,000 kernel weight (TKW) plays a significant role in the formation of yield traits of wheat. Kernel size is significantly positively correlated to TKW. Although numerous loci for kernel size in wheat have been reported, our knowledge on loci for kernel area (KA) and kernel circumference (KC) remains limited. In the present study, a recombinant inbred lines (RIL) population containing 371 lines genotyped using the Wheat55K SNP array was used to map quantitative trait loci (QTLs) controlling the KA and KC in multiple environments. A total of 54 and 44 QTLs were mapped by using the biparental population or multienvironment trial module of the inclusive composite interval mapping method, respectively. Twenty-two QTLs were considered major QTLs. BLAST analysis showed that major and stable QTLs QKc.sau-6A.1 (23.12–31.64 cM on 6A) for KC and QKa.sau-6A.2 (66.00–66.57 cM on 6A) for KA were likely novel QTLs, which explained 22.25 and 20.34% of the phenotypic variation on average in the 3 year experiments, respectively. Two Kompetitive allele-specific PCR (KASP) markers, KASP-AX-109894590 and KASP-AX-109380327, were developed and tightly linked to QKc.sau-6A.1 and QKa.sau-6A.2, respectively, and the genetic effects of the different genotypes in the RIL population were successfully confirmed. Furthermore, in the interval where QKa.sau-6A.2 was located on Chinese Spring and T. Turgidum ssp. dicoccoides reference genomes, only 11 genes were found. In addition, digenic epistatic QTLs also showed a significant influence on KC and KA. Altogether, the results revealed the genetic basis of KA and KC and will be useful for the marker-assisted selection of lines with different kernel sizes, laying the foundation for the fine mapping and cloning of the gene(s) underlying the stable QTLs detected in this study.
QTL的晶粒形状,晶粒重量,测试重量,铣削产量和植物高度在弹簧麦交叉RL44452/'交流域之间的关系。
DOI: 10.1371/journal.pone.0190681
发表时间: 2018
期刊: PloS one
影响因子: 3.7
作者:
Cabral AL;Jordan MC;Larson G;Somers DJ;Humphreys DG;McCartney CA
通讯作者: McCartney CA
DOI: 10.1038/s42003-020-01413-2
发表时间: 2020-11-25
影响因子: 5.9
作者:
Brinton J;Ramirez-Gonzalez RH;Simmonds J;Wingen L;Orford S;Griffiths S;10 Wheat Genome Project;Haberer G;Spannagl M;Walkowiak S;Pozniak C;Uauy C
通讯作者: Uauy C
利用 Wheat660K SNP 阵列衍生的高密度遗传图谱对籽粒数量的主要 QTL 进行高分辨率定位
DOI: 10.1038/s41598-017-04028-6
发表时间: 2017-06-19
期刊: Scientific reports
影响因子: 4.6
作者:
Cui F;Zhang N;Fan XL;Zhang W;Zhao CH;Yang LJ;Pan RQ;Chen M;Han J;Zhao XQ;Ji J;Tong YP;Zhang HX;Jia JZ;Zhao GY;Li JM
通讯作者: Li JM
DOI: 10.1139/g11-017
发表时间: 2011-06-01
期刊: GENOME
影响因子: 3.1
作者:
Heidari, Bahram;Sayed-Tabatabaei, Badraldin Ebrahim;Suenaga, Kazuhiro
通讯作者: Suenaga, Kazuhiro
DOI: 10.1007/s001220100536
发表时间: 2001-07-01
影响因子: 5.4
作者:
Cao, G;Zhu, J;Wu, P
通讯作者: Wu, P