Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS

• Published in: Molecular ecology 2019-08, Vol.28 (15), p.3544-3560
• Main Authors: Li, Jing, Chen, Guo‐Bo, Rasheed, Awais, Li, Delin, Sonder, Kai, Zavala Espinosa, Cristian, Wang, Jiankang, Costich, Denise E., Schnable, Patrick S., Hearne, Sarah J., Li, Huihui
• Format: Article
• Language: English
• Subjects: Adaptation; Adaptation, Physiological - genetics; Archaeology; Biodiversity; Biological evolution; Breeding; Corn; Databases, Genetic; Domestication; Ecological monitoring; Ecotype; EigenGWAS; EnvGWAS; Environment; Exploration; Genetic drift; Genetic Loci; Genetics; Genome-Wide Association Study; Genotype; Geography; Germplasm; Haplotypes; maize; Midaltitude; Models, Genetic; Molecular Sequence Annotation; Nucleotides; Original; ORIGINAL ARTICLES; Phylogeny; Plant breeding; Polymorphism, Single Nucleotide - genetics; Population genetics; Principal Component Analysis; selection; Sequence Analysis, DNA; Single-nucleotide polymorphism; Species diversity; Zea mays - genetics
• ISSN: 0962-1083; 1365-294X
• DOI: 10.1111/mec.15169

Understanding the genomic basis of adaptation in maize is important for gene discovery and the improvement of breeding germplasm, but much remains a mystery in spite of significant population genetics and archaeological research. Identifying the signals underpinning adaptation are challenging as adaptation often coincided with genetic drift, and the base genomic diversity of the species in massive. In this study, tGBS technology was used to genotype 1,143 diverse maize accessions including landraces collected from 20 countries and elite breeding lines of tropical lowland, highland, subtropical/midaltitude and temperate ecological zones. Based on 355,442 high‐quality single nucleotide polymorphisms, 13 genomic regions were detected as being under selection using the bottom‐up searching strategy, EigenGWAS. Of the 13 selection regions, 10 were first reported, two were associated with environmental parameters via EnvGWAS, and 146 genes were enriched. Combining large‐scale genomic and ecological data in this diverse maize panel, our study supports a polygenic adaptation model of maize and offers a framework to enhance our understanding of both the mechanistic basis and the evolutionary consequences of maize domestication and adaptation. The regions identified here are promising candidates for further, targeted exploration to identify beneficial alleles and haplotypes for deployment in maize breeding.