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Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS.
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.
Afiliação
  • Li J; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
  • Chen GB; Clinical Research Institute, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.
  • Rasheed A; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
  • Li D; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
  • Sonder K; Data Biotech (Beijing) Co., Ltd, Beijing, China.
  • Zavala Espinosa C; College of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
  • Wang J; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
  • Costich DE; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
  • Schnable PS; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
  • Hearne SJ; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
  • Li H; Data Biotech (Beijing) Co., Ltd, Beijing, China.
Mol Ecol ; 28(15): 3544-3560, 2019 08.
Article em En | MEDLINE | ID: mdl-31287919
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cruzamento / Adaptação Fisiológica / Meio Ambiente / Estudo de Associação Genômica Ampla / Loci Gênicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cruzamento / Adaptação Fisiológica / Meio Ambiente / Estudo de Associação Genômica Ampla / Loci Gênicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article