Genome-wide association study of maize plant architecture using F1 populations
Autor: | Beijiu Cheng, Hengsheng Wang, Ronghao Cai, Longjiang Gu, Chen Bo, Wei Dai, Jun Zhu, Yang Zhao, Xingen Zhang, Qing Ma, Haiyang Jiang |
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Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
0301 basic medicine education.field_of_study Candidate gene fungi Population food and beverages Genome-wide association study Single-nucleotide polymorphism Plant Science General Medicine Biology Heritability Quantitative trait locus 01 natural sciences Genetic architecture 03 medical and health sciences 030104 developmental biology Agronomy Genetics education Agronomy and Crop Science 010606 plant biology & botany Hybrid |
Zdroj: | Plant Molecular Biology. 99:1-15 |
ISSN: | 1573-5028 0167-4412 |
DOI: | 10.1007/s11103-018-0797-7 |
Popis: | Genome-wide association study of maize plant architecture using F1 populations can better dissect various genetic effects that can provide precise guidance for genetic improvement in maize breeding. Maize grain yield has increased at least eightfold during the past decades. Plant architecture, including plant height, leaf angle, leaf length, and leaf width, has been changed significantly to adapt to higher planting density. Although the genetic architecture of these traits has been dissected using different populations, the genetic basis remains unclear in the F1 population. In this work, we perform a genome-wide association study of the four traits using 573 F1 hybrids with a mixed linear model approach and QTXNetwork mapping software. A total of 36 highly significant associated quantitative trait SNPs were identified for these traits, which explained 51.86–79.92% of the phenotypic variation and were contributed mainly by additive, dominance, and environment-specific effects. Heritability as a result of environmental interaction was more important for leaf angle and leaf length, while major effects (a, aa, and d) were more important for leaf width and plant height. The potential breeding values of the superior lines and superior hybrids were also predicted, and these values can be applied in maize breeding by direct selection of superior genotypes for the associated quantitative trait SNPs. A total of 108 candidate genes were identified for the four traits, and further analysis was performed to screen the potential genes involved in the development of maize plant architecture. Our results provide new insights into the genetic architecture of the four traits, and will be helpful in marker-assisted breeding for maize plant architecture. |
Databáze: | OpenAIRE |
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