期刊
FRONTIERS IN PLANT SCIENCE
卷 9, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2018.01919
关键词
maize; association mapping; genomic prediction; drought stress; heat stress; combined drought and heat stress
资金
- Bill Melinda Gates
- USAID [OPPGD1390]
- Bill Melinda Gates [OPP1093167]
- CGIAR Research Program (CRP) on MAIZE
- Government of Australia
- Government of Belgium
- Government of Canada
- Government of China
- Government of France
- Government of India
- Government of Japan
- Government of Korea
- Government of Mexico
- Government of Netherlands
- Government of New Zealand
- Government of Norway
- Government of Sweden
- Government of Switzerland
- Government of UK
- Government of US
- World Bank
- National Natural Foundation of China [31561143014, 31522041, 31661143010, 31801442]
- Chinese Scholarship Council
- Bill and Melinda Gates Foundation [OPP1093167] Funding Source: Bill and Melinda Gates Foundation
Drought stress (DS) is a major constraint to maize yield production. Heat stress (HS) alone and in combination with DS are likely to become the increasing constraints. Association mapping and genomic prediction (GP) analyses were conducted in a collection of 300 tropical and subtropical maize inbred lines to reveal the genetic architecture of grain yield and flowering time under well-watered (WW), DS, HS, and combined DS and HS conditions. Out of the 381,165 genotyping-by-sequencing SNPs, 1549 SNPs were significantly associated with all the 12 trait-environment combinations, the average PVE (phenotypic variation explained) by these SNPs was 4.33%, and 541 of them had a PVE value greater than 5%. These significant associations were clustered into 446 genomic regions with a window size of 20 Mb per region, and 673 candidate genes containing the significantly associated SNPs were identified. In addition, 33 hotspots were identified for 12 trait-environment combinations and most were located on chromosomes 1 and 8. Compared with single SNP-based association mapping, the haplotype-based associated mapping detected fewer number of significant associations and candidate genes with higher PVE values. All the 688 candidate genes were enriched into 15 gene ontology terms, and 46 candidate genes showed significant differential expression under the WW and DS conditions. Association mapping results identified few overlapped significant markers and candidate genes for the same traits evaluated under different managements, indicating the genetic divergence between the individual stress tolerance and the combined drought and HS tolerance. The GP accuracies obtained from the marker-trait associated SNPs were relatively higher than those obtained from the genome-wide SNPs for most of the target traits. The genetic architecture information of the grain yield and flowering time revealed in this study, and the genomic regions identified for the different trait-environment combinations are useful in accelerating the efforts on rapid development of the stress-tolerant maize germplasm through marker-assisted selection and/or genomic selection.
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