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Joint analysis of days to flowering reveals independent temperate adaptations in maize

文献类型： 外文期刊

作者： Swarts, Kelly 1 ; Bauer, Eva 4 ; Glaubitz, Jeffrey C. 5 ; Ho, Tiffany 3 ; Johnson, Lynn 5 ; Li, Yongxiang 6 ; Li, Yu 6 ;

作者机构： 1.Austrian Acad Sci, Vienna Bioctr, Gregor Mendel Inst, Vienna, Austria

2.Univ Vienna, Vienna Bioctr, Max F Perutz Labs, Dept Struct & Computat Biol, Vienna, Austria

3.Cornell Univ, Dept Plant Breeding & Genet, Ithaca, NY 14850 USA

4.Tech Univ Munich, TUM Sch Life Sci Weihenstephan, Plant Breeding, Freising Weihenstephan, Germany

5.Cornell Univ, Inst Biotechnol, Inst Genom Divers, Ithaca, NY USA

6.Chinese Acad Agr Sci, Inst Crop Sci, Beijing, Peoples R China

7.Washington State Univ, Dept Crop & Soil Sci, Pullman, WA 99164 USA

8.USDA ARS, Ithaca, NY 14853 USA

期刊名称：HEREDITY （ 影响因子：3.436； 五年影响因子：4.101 ）

ISSN： 0018-067X

年卷期：

页码：

收录情况： SCI

摘要： Domesticates are an excellent model for understanding biological consequences of rapid climate change. Maize (Zea mays ssp. mays) was domesticated from a tropical grass yet is widespread across temperate regions today. We investigate the biological basis of temperate adaptation in diverse structured nested association mapping (NAM) populations from China, Europe (Dent and Flint) and the United States as well as in the Ames inbred diversity panel, using days to flowering as a proxy. Using cross-population prediction, where high prediction accuracy derives from overall genomic relatedness, shared genetic architecture, and sufficient diversity in the training population, we identify patterns in predictive ability across the five populations. To identify the source of temperate adapted alleles in these populations, we predict top associated genome-wide association study (GWAS) identified loci in a Random Forest Classifier using independent temperate-tropical North American populations based on lines selected from Hapmap3 as predictors. We find that North American populations are well predicted (AUC equals 0.89 and 0.85 for Ames and USNAM, respectively), European populations somewhat well predicted (AUC equals 0.59 and 0.67 for the Dent and Flint panels, respectively) and that the Chinese population is not predicted well at all (AUC is 0.47), suggesting an independent adaptation process for early flowering in China. Multiple adaptations for the complex trait days to flowering in maize provide hope for similar natural systems under climate change.

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