Genome-Wide Association Study of Yield Component Traits in Intermediate Wheatgrass and Implications in Genomic Selection and Breeding

被引:39
作者
Bajgain, Prabin [1 ]
Zhang, Xiaofei [2 ]
Anderson, James A. [1 ]
机构
[1] Univ Minnesota, Dept Agron & Plant Genet, St Paul, MN 55108 USA
[2] North Carolina State Univ, Dept Hort Sci, Raleigh, NC 27695 USA
关键词
QTL; GWAS; genomic selection; domestication; intermediate wheatgrass; Genomic Prediction; GenPred; Shared Data Resources; COMPLEX TRAITS; DOMESTICATION; POPULATION; PREDICTION; EVOLUTION; INFERENCE; CLUSTERS; PLANTS; WILD; QTL;
D O I
10.1534/g3.119.400073
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Intermediate wheatgrass (Thinopyrum intermedium, IWG) is a perennial grain crop with high biomass and grain yield, long seeds, and resistance to pests and diseases. It also reduces soil erosion, nitrate and mineral leaching into underground water tables, and sequesters carbon in its roots. The domestication timeline of IWG as a grain crop spans only 3 decades, hence it lags annual grain crops in yield and seed characteristics. One approach to improve its agronomic traits is by using molecular markers to uncover marker-trait associations. In this study, we performed association mapping on IWG breeding germplasm from the third recurrent selection cycle at the University of Minnesota. The IWG population was phenotyped in St Paul, MN in 2017 and 2018, and in Crookston, MN in 2018 for grain yield, seed length, width and weight, spike length and weight, and number of spikelets per spike. Strong positive correlations were observed among most trait pairs, with correlations as high as 0.76. Genotyping using high throughput sequencing identified 8,899 high-quality genome-wide SNPs which were combined with phenotypic data in association mapping to discover regions associated with the yield component traits. We detected 154 genetic loci associated with these traits of which 19 were shared between at least two traits. Prediction of breeding values using significant loci as fixed effects in genomic selection model improved predictive abilities by up to 14%. Genetic mapping of agronomic traits followed by using genomic selection to predict breeding values can assist breeders in selecting superior genotypes to accelerate IWG domestication.
引用
收藏
页码:2429 / 2439
页数:11
相关论文
共 60 条
[1]  
[Anonymous], 1984, KULTURPFLANZE, DOI [DOI 10.1007/BF02098682, 10.1007/bf02098682]
[2]   Molecular markers and selection for complex traits in plants: Learning from the last 20 years [J].
Bernardo, Rex .
CROP SCIENCE, 2008, 48 (05) :1649-1664
[3]   Genomewide Selection when Major Genes Are Known [J].
Bernardo, Rex .
CROP SCIENCE, 2014, 54 (01) :68-75
[4]  
Boratyn G.M., 2018, BIORXIV, DOI DOI 10.1101/390013
[5]   TASSEL: software for association mapping of complex traits in diverse samples [J].
Bradbury, Peter J. ;
Zhang, Zhiwu ;
Kroon, Dallas E. ;
Casstevens, Terry M. ;
Ramdoss, Yogesh ;
Buckler, Edward S. .
BIOINFORMATICS, 2007, 23 (19) :2633-2635
[6]   Variation under domestication in plants: 1859 and today [J].
Brown, Anthony H. D. .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2010, 365 (1552) :2523-2530
[7]   QTL clusters reflect character associations in wild and cultivated rice [J].
Cai, HW ;
Morishima, H .
THEORETICAL AND APPLIED GENETICS, 2002, 104 (08) :1217-1228
[8]  
Christian D., 1997, Sustainable agriculture for food, energy and industry, P799
[9]  
Csardi G., 2005, Int J Comp Syst, V1695, P1
[10]   PERENNIAL CEREALS PROVIDE ECOSYSTEM BENEFITS [J].
DeHaan, L. R. ;
Ismail, B. P. .
CEREAL FOODS WORLD, 2017, 62 (06) :278-281