ArticlePlant direct2019
Multivariate analysis reveals environmental and genetic determinants of element covariation in the maize grain ionome.
Article in Plant direct, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- A comparative approach for selecting orthologous candidate genes in genome-wide association studies across multiple species.Plant physiology · 2026Article
- An atlas of plant selenium metabolism.The New phytologist · 2026Review
- Genetic dissection of maize (Zea maysL.) trace element traits using genome-wide association studies.BMC plant biology · 2023Article
- Temporal and environmental factors interact with rootstock genotype to shape leaf elemental composition in grafted grapevines.Plant direct · 2022Article
- Ionomic Approaches for Discovery of Novel Stress-Resilient Genes in Plants.International journal of molecular sciences · 2021Review
- High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain.G3 (Bethesda, Md.) · 2021Article
- Univariate and Multivariate QTL Analyses Reveal Covariance Among Mineral Elements in the Rice Ionome.Frontiers in genetics · 2021Article
- Genetically Modified Plants: Nutritious, Sustainable, yet Underrated.The Journal of nutrition · 2020Article
- Multivariate analysis reveals environmental and genetic determinants of element covariation in the maize grain ionome.Plant direct · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integrated responses of biological systems to genetic and environmental variation result in substantial covariance in multiple phenotypes. The resultant pleiotropy, environmental effects, and genotype-by-environmental interactions (GxE) are foundational to our understanding of biology and genetics. Yet, the treatment of correlated characters, and the identification of the genes encoding functions that generate this covariance, has lagged. As a test case for analyzing the genetic basis underlying multiple correlated traits, we analyzed maize kernel ionomes from Intermated B73 x Mo17 (IBM) recombinant inbred populations grown in 10 environments. Plants obtain elements from the soil through genetic and biochemical pathways responsive to physiological state and environment. Most perturbations affect multiple elements which leads the
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