Phenotypic plasticity describes the phenotypic variation of a trait when a genotype is exposed to different environments. Understanding the genetic control of phenotypic plasticity in crops such as maize is of paramount importance for maintaining and increasing yields in a world experiencing climate change. Here, we report the results of genome-wide association analyses of multiple phenotypes and two measures of phenotypic plasticity in a maize nested association mapping (US-NAM) population grown in multiple environments and genotyped with ~2.5 million single-nucleotide polymorphisms. We show that across all traits the candidate genes for mean phenotype values and plasticity measures form structurally and functionally distinct groups. Such independent genetic control suggests that breeders will be able to select semi-independently for mean phenotype values and plasticity, thereby generating varieties with both high mean phenotype values and levels of plasticity that are appropriate for the target performance environments.
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We thank the Panzea group for making their genotypic and phenotypic data on the US-NAM population publically available, W. Wu for conducting the RNA-Seq experiments, C.-T. ‘Eddy’ Yeh for SNP calling and J. Yang for preparing the imputed SNPs. We also thank anonymous reviewers for helpful comments. This material is based upon work supported in part by the National Science Foundation (grant number 1027527) and the National Institute of General Medical Sciences of the National Institutes of Health (grant number 1R01GM109458-01) to P.S.S. and D.N. and to D.N., respectively. The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
The authors declare no competing financial interests.
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Electronic supplementary material
Supplementary Figure 1–6, Supplementary Table 1, Supplementary References.
Significant SNPs for the mean phenotype, linear plasticity, and non-linear plasticity of 23 phenotypes with their estimated effect sizes, standard errors, p-values and q-values.
Candidate genes for the mean phenotype, linear plasticity, and non-linear plasticity of 23 phenotypes with their genomic locations and associated SNPs.
Enriched GO terms from the biological process sub-ontology for candidate genes grouped by mean phenotype, linear plasticity, and non-linear plasticity.
Enriched GO terms from the cellular component sub-ontology for candidate genes grouped by mean phenotype, linear plasticity, and non-linear plasticity.
Enriched GO terms from the molecular function sub-ontology for candidate genes grouped by mean phenotype, linear plasticity, and non-linear plasticity.
Enriched GO terms from the biological process sub-ontology for the protein products of candidate genes and their primary predicted interaction partners for the mean phenotype, linear plasticity, and non-linear plasticity of 23 phenotypes.
Enriched GO terms from the cellular component sub-ontology for the protein products of candidate genes and their primary predicted interaction partners for the mean phenotype, linear plasticity, and non-linear plasticity of 23 phenotypes.
Enriched GO terms from the molecular function sub-ontology for the protein products of candidate genes and their primary predicted interaction partners for the mean phenotype, linear plasticity, and non-linear plasticity of 23 phenotypes.
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Kusmec, A., Srinivasan, S., Nettleton, D. et al. Distinct genetic architectures for phenotype means and plasticities in Zea mays. Nature Plants 3, 715–723 (2017). https://doi.org/10.1038/s41477-017-0007-7
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