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QTL × environment interactions underlie ionome divergence in switchgrass
Ionomics measures elemental concentrations in biological organisms and provides a snapshot of physiology under different conditions. In this study, we evaluate genetic variation of the ionome in outbred, perennial switchgrass in three environments across the species’ native range, and explore patter...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495926/ https://www.ncbi.nlm.nih.gov/pubmed/33914881 http://dx.doi.org/10.1093/g3journal/jkab144 |
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author | Zhang, Li MacQueen, Alice Bonnette, Jason Fritschi, Felix B Lowry, David B Juenger, Thomas E |
author_facet | Zhang, Li MacQueen, Alice Bonnette, Jason Fritschi, Felix B Lowry, David B Juenger, Thomas E |
author_sort | Zhang, Li |
collection | PubMed |
description | Ionomics measures elemental concentrations in biological organisms and provides a snapshot of physiology under different conditions. In this study, we evaluate genetic variation of the ionome in outbred, perennial switchgrass in three environments across the species’ native range, and explore patterns of genotype-by-environment interactions. We grew 725 clonally replicated genotypes of a large full sib family from a four-way linkage mapping population, created from deeply diverged upland and lowland switchgrass ecotypes, at three common gardens. Concentrations of 18 mineral elements were determined in whole post-anthesis tillers using ion coupled plasma mass spectrometry (ICP-MS). These measurements were used to identify quantitative trait loci (QTL) with and without QTL-by-environment interactions (QTLxE) using a multi-environment QTL mapping approach. We found that element concentrations varied significantly both within and between switchgrass ecotypes, and GxE was present at both the trait and QTL level. Concentrations of 14 of the 18 elements were under some genetic control, and 77 QTL were detected for these elements. Seventy-four percent of QTL colocalized multiple elements, half of QTL exhibited significant QTLxE, and roughly equal numbers of QTL had significant differences in magnitude and sign of their effects across environments. The switchgrass ionome is under moderate genetic control and by loci with highly variable effects across environments. |
format | Online Article Text |
id | pubmed-8495926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84959262021-10-07 QTL × environment interactions underlie ionome divergence in switchgrass Zhang, Li MacQueen, Alice Bonnette, Jason Fritschi, Felix B Lowry, David B Juenger, Thomas E G3 (Bethesda) Investigation Ionomics measures elemental concentrations in biological organisms and provides a snapshot of physiology under different conditions. In this study, we evaluate genetic variation of the ionome in outbred, perennial switchgrass in three environments across the species’ native range, and explore patterns of genotype-by-environment interactions. We grew 725 clonally replicated genotypes of a large full sib family from a four-way linkage mapping population, created from deeply diverged upland and lowland switchgrass ecotypes, at three common gardens. Concentrations of 18 mineral elements were determined in whole post-anthesis tillers using ion coupled plasma mass spectrometry (ICP-MS). These measurements were used to identify quantitative trait loci (QTL) with and without QTL-by-environment interactions (QTLxE) using a multi-environment QTL mapping approach. We found that element concentrations varied significantly both within and between switchgrass ecotypes, and GxE was present at both the trait and QTL level. Concentrations of 14 of the 18 elements were under some genetic control, and 77 QTL were detected for these elements. Seventy-four percent of QTL colocalized multiple elements, half of QTL exhibited significant QTLxE, and roughly equal numbers of QTL had significant differences in magnitude and sign of their effects across environments. The switchgrass ionome is under moderate genetic control and by loci with highly variable effects across environments. Oxford University Press 2021-04-29 /pmc/articles/PMC8495926/ /pubmed/33914881 http://dx.doi.org/10.1093/g3journal/jkab144 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Zhang, Li MacQueen, Alice Bonnette, Jason Fritschi, Felix B Lowry, David B Juenger, Thomas E QTL × environment interactions underlie ionome divergence in switchgrass |
title |
QTL × environment interactions underlie ionome divergence in switchgrass |
title_full |
QTL × environment interactions underlie ionome divergence in switchgrass |
title_fullStr |
QTL × environment interactions underlie ionome divergence in switchgrass |
title_full_unstemmed |
QTL × environment interactions underlie ionome divergence in switchgrass |
title_short |
QTL × environment interactions underlie ionome divergence in switchgrass |
title_sort | qtl × environment interactions underlie ionome divergence in switchgrass |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495926/ https://www.ncbi.nlm.nih.gov/pubmed/33914881 http://dx.doi.org/10.1093/g3journal/jkab144 |
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