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Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.)
KEY MESSAGE: Association analysis for ionomic concentrations of 20 elements identified independent genetic factors underlying the root and shoot ionomes of rice, providing a platform for selecting and dissecting causal genetic variants. ABSTRACT: Understanding the genetic basis of mineral nutrient a...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277617/ https://www.ncbi.nlm.nih.gov/pubmed/34018019 http://dx.doi.org/10.1007/s00122-021-03848-5 |
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author | Cobb, Joshua N. Chen, Chen Shi, Yuxin Maron, Lyza G. Liu, Danni Rutzke, Mike Greenberg, Anthony Craft, Eric Shaff, Jon Paul, Edyth Akther, Kazi Wang, Shaokui Kochian, Leon V. Zhang, Dabao Zhang, Min McCouch, Susan R. |
author_facet | Cobb, Joshua N. Chen, Chen Shi, Yuxin Maron, Lyza G. Liu, Danni Rutzke, Mike Greenberg, Anthony Craft, Eric Shaff, Jon Paul, Edyth Akther, Kazi Wang, Shaokui Kochian, Leon V. Zhang, Dabao Zhang, Min McCouch, Susan R. |
author_sort | Cobb, Joshua N. |
collection | PubMed |
description | KEY MESSAGE: Association analysis for ionomic concentrations of 20 elements identified independent genetic factors underlying the root and shoot ionomes of rice, providing a platform for selecting and dissecting causal genetic variants. ABSTRACT: Understanding the genetic basis of mineral nutrient acquisition is key to fully describing how terrestrial organisms interact with the non-living environment. Rice (Oryza sativa L.) serves both as a model organism for genetic studies and as an important component of the global food system. Studies in rice ionomics have primarily focused on above ground tissues evaluated from field-grown plants. Here, we describe a comprehensive study of the genetic basis of the rice ionome in both roots and shoots of 6-week-old rice plants for 20 elements using a controlled hydroponics growth system. Building on the wealth of publicly available rice genomic resources, including a panel of 373 diverse rice lines, 4.8 M genome-wide single-nucleotide polymorphisms, single- and multi-marker analysis pipelines, an extensive tome of 321 candidate genes and legacy QTLs from across 15 years of rice genetics literature, we used genome-wide association analysis and biparental QTL analysis to identify 114 genomic regions associated with ionomic variation. The genetic basis for root and shoot ionomes was highly distinct; 78 loci were associated with roots and 36 loci with shoots, with no overlapping genomic regions for the same element across tissues. We further describe the distribution of phenotypic variation across haplotypes and identify candidate genes within highly significant regions associated with sulfur, manganese, cadmium, and molybdenum. Our analysis provides critical insight into the genetic basis of natural phenotypic variation for both root and shoot ionomes in rice and provides a comprehensive resource for dissecting and testing causal genetic variants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-021-03848-5. |
format | Online Article Text |
id | pubmed-8277617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82776172021-07-20 Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.) Cobb, Joshua N. Chen, Chen Shi, Yuxin Maron, Lyza G. Liu, Danni Rutzke, Mike Greenberg, Anthony Craft, Eric Shaff, Jon Paul, Edyth Akther, Kazi Wang, Shaokui Kochian, Leon V. Zhang, Dabao Zhang, Min McCouch, Susan R. Theor Appl Genet Original Article KEY MESSAGE: Association analysis for ionomic concentrations of 20 elements identified independent genetic factors underlying the root and shoot ionomes of rice, providing a platform for selecting and dissecting causal genetic variants. ABSTRACT: Understanding the genetic basis of mineral nutrient acquisition is key to fully describing how terrestrial organisms interact with the non-living environment. Rice (Oryza sativa L.) serves both as a model organism for genetic studies and as an important component of the global food system. Studies in rice ionomics have primarily focused on above ground tissues evaluated from field-grown plants. Here, we describe a comprehensive study of the genetic basis of the rice ionome in both roots and shoots of 6-week-old rice plants for 20 elements using a controlled hydroponics growth system. Building on the wealth of publicly available rice genomic resources, including a panel of 373 diverse rice lines, 4.8 M genome-wide single-nucleotide polymorphisms, single- and multi-marker analysis pipelines, an extensive tome of 321 candidate genes and legacy QTLs from across 15 years of rice genetics literature, we used genome-wide association analysis and biparental QTL analysis to identify 114 genomic regions associated with ionomic variation. The genetic basis for root and shoot ionomes was highly distinct; 78 loci were associated with roots and 36 loci with shoots, with no overlapping genomic regions for the same element across tissues. We further describe the distribution of phenotypic variation across haplotypes and identify candidate genes within highly significant regions associated with sulfur, manganese, cadmium, and molybdenum. Our analysis provides critical insight into the genetic basis of natural phenotypic variation for both root and shoot ionomes in rice and provides a comprehensive resource for dissecting and testing causal genetic variants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-021-03848-5. Springer Berlin Heidelberg 2021-05-20 2021 /pmc/articles/PMC8277617/ /pubmed/34018019 http://dx.doi.org/10.1007/s00122-021-03848-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Cobb, Joshua N. Chen, Chen Shi, Yuxin Maron, Lyza G. Liu, Danni Rutzke, Mike Greenberg, Anthony Craft, Eric Shaff, Jon Paul, Edyth Akther, Kazi Wang, Shaokui Kochian, Leon V. Zhang, Dabao Zhang, Min McCouch, Susan R. Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.) |
title | Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.) |
title_full | Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.) |
title_fullStr | Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.) |
title_full_unstemmed | Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.) |
title_short | Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.) |
title_sort | genetic architecture of root and shoot ionomes in rice (oryza sativa l.) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277617/ https://www.ncbi.nlm.nih.gov/pubmed/34018019 http://dx.doi.org/10.1007/s00122-021-03848-5 |
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