A combination of linkage mapping and GWAS brings new elements on the genetic basis of yield-related traits in maize across multiple environments
| Autor: | Yaou Shen, Yinchao Zhang, Lang Pan, Langlang Ma, Yongcong He, Peng Liu, Shijiang He, Chaoying Zou, Yanling Zhang, Fei Ge, Shibin Gao, Peng Li, Xiaoxiang Zhang, Zhongrong Guan, Zhaoling Li, Guangtang Pan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Candidate gene Quantitative Trait Loci Population Single-nucleotide polymorphism Genome-wide association study Quantitative trait locus Biology Genes Plant Polymorphism Single Nucleotide Zea mays 01 natural sciences Genetic linkage Genetics SNP education Gene Genetic Association Studies education.field_of_study Chromosome Mapping General Medicine Phenotype Seeds Edible Grain Agronomy and Crop Science 010606 plant biology & botany Biotechnology |
| Zdroj: | Theoretical and Applied Genetics. 133:2881-2895 |
| ISSN: | 1432-2242 0040-5752 1010-9757 |
| DOI: | 10.1007/s00122-020-03639-4 |
| Popis: | Using GWAS and QTL mapping identified 100 QTL and 138 SNPs, which control yield-related traits in maize. The candidate gene GRMZM2G098557 was further validated to regulate ear row number by using a segregation population. Understanding the genetic basis of yield-related traits contributes to the improvement of grain yield in maize. This study used an inter-mated B73 × Mo17 (IBM) Syn10 doubled-haploid (DH) population and an association panel to identify the genetic loci responsible for nine yield-related traits in maize. Using quantitative trait loci (QTL) mapping, 100 QTL influencing these traits were detected across different environments in the IBM Syn10 DH population, with 25 co-detected in multiple environments. Using a genome-wide association study (GWAS), 138 single-nucleotide polymorphisms (SNPs) were identified as correlated with these traits (P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink