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The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome
Plants obtain soil-resident elements that support growth and metabolism from the water-flow facilitated by transpiration and active transport processes. The availability of elements in the environment interacts with the genetic capacity of organisms to modulate element uptake through plastic adaptiv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144985/ https://www.ncbi.nlm.nih.gov/pubmed/27770027 http://dx.doi.org/10.1534/g3.116.034827 |
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author | Asaro, Alexandra Ziegler, Gregory Ziyomo, Cathrine Hoekenga, Owen A. Dilkes, Brian P. Baxter, Ivan |
author_facet | Asaro, Alexandra Ziegler, Gregory Ziyomo, Cathrine Hoekenga, Owen A. Dilkes, Brian P. Baxter, Ivan |
author_sort | Asaro, Alexandra |
collection | PubMed |
description | Plants obtain soil-resident elements that support growth and metabolism from the water-flow facilitated by transpiration and active transport processes. The availability of elements in the environment interacts with the genetic capacity of organisms to modulate element uptake through plastic adaptive responses, such as homeostasis. These interactions should cause the elemental contents of plants to vary such that the effects of genetic polymorphisms will be dramatically dependent on the environment in which the plant is grown. To investigate genotype by environment interactions underlying elemental accumulation, we analyzed levels of elements in maize kernels of the Intermated B73 × Mo17 (IBM) recombinant inbred population grown in 10 different environments, spanning a total of six locations and five different years. In analyses conducted separately for each environment, we identified a total of 79 quantitative trait loci (QTL) controlling seed elemental accumulation. While a set of these QTL was found in multiple environments, the majority were specific to a single environment, suggesting the presence of genetic by environment interactions. To specifically identify and quantify QTL by environment interactions (QEIs), we implemented two methods: linear modeling with environmental covariates, and QTL analysis on trait differences between growouts. With these approaches, we found several instances of QEI, indicating that elemental profiles are highly heritable, interrelated, and responsive to the environment. |
format | Online Article Text |
id | pubmed-5144985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-51449852016-12-09 The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome Asaro, Alexandra Ziegler, Gregory Ziyomo, Cathrine Hoekenga, Owen A. Dilkes, Brian P. Baxter, Ivan G3 (Bethesda) Investigations Plants obtain soil-resident elements that support growth and metabolism from the water-flow facilitated by transpiration and active transport processes. The availability of elements in the environment interacts with the genetic capacity of organisms to modulate element uptake through plastic adaptive responses, such as homeostasis. These interactions should cause the elemental contents of plants to vary such that the effects of genetic polymorphisms will be dramatically dependent on the environment in which the plant is grown. To investigate genotype by environment interactions underlying elemental accumulation, we analyzed levels of elements in maize kernels of the Intermated B73 × Mo17 (IBM) recombinant inbred population grown in 10 different environments, spanning a total of six locations and five different years. In analyses conducted separately for each environment, we identified a total of 79 quantitative trait loci (QTL) controlling seed elemental accumulation. While a set of these QTL was found in multiple environments, the majority were specific to a single environment, suggesting the presence of genetic by environment interactions. To specifically identify and quantify QTL by environment interactions (QEIs), we implemented two methods: linear modeling with environmental covariates, and QTL analysis on trait differences between growouts. With these approaches, we found several instances of QEI, indicating that elemental profiles are highly heritable, interrelated, and responsive to the environment. Genetics Society of America 2016-10-21 /pmc/articles/PMC5144985/ /pubmed/27770027 http://dx.doi.org/10.1534/g3.116.034827 Text en Copyright © 2016 Asaro et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Asaro, Alexandra Ziegler, Gregory Ziyomo, Cathrine Hoekenga, Owen A. Dilkes, Brian P. Baxter, Ivan The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome |
title | The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome |
title_full | The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome |
title_fullStr | The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome |
title_full_unstemmed | The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome |
title_short | The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome |
title_sort | interaction of genotype and environment determines variation in the maize kernel ionome |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144985/ https://www.ncbi.nlm.nih.gov/pubmed/27770027 http://dx.doi.org/10.1534/g3.116.034827 |
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