Spatial structure and climatic adaptation in African maize revealed by surveying SNP diversity in relation to global breeding and landrace panels

• Published in: PloS one Vol. 7; no. 10; p. e47832
• Main Authors: Westengen, Ola T, Berg, Paul R, Kent, Matthew P, Brysting, Anne K
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 16-10-2012; Public Library of Science (PLoS)
• Subjects: Adaptation; Adaptation, Biological - genetics; Adaptations; Africa South of the Sahara; Agriculture; Association analysis; Biology; Breeding; Climate adaptation; Climate Change; Clusters; Corn; Distribution; Environmental organizations; Food; Food security; Gene flow; Genetic aspects; Genetic diversity; Genetic resources; Genetic structure; Germplasm; Growing season; Inbreeding; Influence; Maximum temperatures; Oryza; Phylogeny; Polymorphism, Single Nucleotide; Population; Seeds; Single-nucleotide polymorphism; Surveying; Zea mays; Zea mays - genetics; Africa South of the Sahara; Norway
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0047832

Climate change threatens maize productivity in sub-Saharan Africa. To ensure food security, access to locally adapted genetic resources and varieties is an important adaptation measure. Most of the maize grown in Africa is a genetic mix of varieties introduced at different historic times following the birth of the trans-Atlantic economy, and knowledge about geographic structure and local adaptations is limited.
A panel of 48 accessions of maize representing various introduction routes and sources of historic and recent germplasm introductions in Africa was genotyped with the MaizeSNP50 array. Spatial genetic structure and genetic relationships in the African panel were analysed separately and in the context of a panel of 265 inbred lines representing global breeding material (based on 26,900 SNPs) and a panel of 1127 landraces from the Americas (270 SNPs). Environmental association analysis was used to detect SNPs associated with three climatic variables based on the full 43,963 SNP dataset.
The genetic structure is consistent between subsets of the data and the markers are well suited for resolving relationships and admixture among the accessions. The African accessions are structured in three clusters reflecting historical and current patterns of gene flow from the New World and within Africa. The Sahelian cluster reflects original introductions of Meso-American landraces via Europe and a modern introduction of temperate breeding material. The Western cluster reflects introduction of Coastal Brazilian landraces, as well as a Northeast-West spread of maize through Arabic trade routes across the continent. The Eastern cluster most strongly reflects gene flow from modern introduced tropical varieties. Controlling for population history in a linear model, we identify 79 SNPs associated with maximum temperature during the growing season. The associations located in genes of known importance for abiotic stress tolerance are interesting candidates for local adaptations.