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Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model
Water stress during reproductive growth is a major yield constraint for wheat (Triticum aestivum L). We previously established a controlled environment drought tolerance phenotyping method targeting the young microspore stage of pollen development. This method eliminates stress avoidance based on fl...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385972/ https://www.ncbi.nlm.nih.gov/pubmed/30541928 http://dx.doi.org/10.1534/g3.118.200835 |
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author | Dolferus, Rudy Thavamanikumar, Saravanan Sangma, Harriet Kleven, Sue Wallace, Xiaomei Forrest, Kerrie Rebetzke, Gregory Hayden, Matthew Borg, Lauren Smith, Alison Cullis, Brian |
author_facet | Dolferus, Rudy Thavamanikumar, Saravanan Sangma, Harriet Kleven, Sue Wallace, Xiaomei Forrest, Kerrie Rebetzke, Gregory Hayden, Matthew Borg, Lauren Smith, Alison Cullis, Brian |
author_sort | Dolferus, Rudy |
collection | PubMed |
description | Water stress during reproductive growth is a major yield constraint for wheat (Triticum aestivum L). We previously established a controlled environment drought tolerance phenotyping method targeting the young microspore stage of pollen development. This method eliminates stress avoidance based on flowering time. We substituted soil drought treatments by a reproducible osmotic stress treatment using hydroponics and NaCl as osmolyte. Salt exclusion in hexaploid wheat avoids salt toxicity, causing osmotic stress. A Cranbrook x Halberd doubled haploid (DH) population was phenotyped by scoring spike grain numbers of unstressed (SGNCon) and osmotically stressed (SGNTrt) plants. Grain number data were analyzed using a linear mixed model (LMM) that included genetic correlations between the SGNCon and SGNTrt traits. Viewing this as a genetic regression of SGNTrt on SGNCon allowed derivation of a stress tolerance trait (SGNTol). Importantly, and by definition of the trait, the genetic effects for SGNTol are statistically independent of those for SGNCon. Thus they represent non-pleiotropic effects associated with the stress treatment that are independent of the control treatment. QTL mapping was conducted using a whole genome approach in which the LMM included all traits and all markers simultaneously. The marker effects within chromosomes were assumed to follow a spatial correlation model. This resulted in smooth marker profiles that could be used to identify positions of putative QTL. The most influential QTL were located on chromosome 5A for SGNTol (126cM; contributed by Halberd), 5A for SGNCon (141cM; Cranbrook) and 2A for SGNTrt (116cM; Cranbrook). Sensitive and tolerant population tail lines all showed matching soil drought tolerance phenotypes, confirming that osmotic stress is a valid surrogate screening method. |
format | Online Article Text |
id | pubmed-6385972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-63859722019-02-26 Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model Dolferus, Rudy Thavamanikumar, Saravanan Sangma, Harriet Kleven, Sue Wallace, Xiaomei Forrest, Kerrie Rebetzke, Gregory Hayden, Matthew Borg, Lauren Smith, Alison Cullis, Brian G3 (Bethesda) Investigations Water stress during reproductive growth is a major yield constraint for wheat (Triticum aestivum L). We previously established a controlled environment drought tolerance phenotyping method targeting the young microspore stage of pollen development. This method eliminates stress avoidance based on flowering time. We substituted soil drought treatments by a reproducible osmotic stress treatment using hydroponics and NaCl as osmolyte. Salt exclusion in hexaploid wheat avoids salt toxicity, causing osmotic stress. A Cranbrook x Halberd doubled haploid (DH) population was phenotyped by scoring spike grain numbers of unstressed (SGNCon) and osmotically stressed (SGNTrt) plants. Grain number data were analyzed using a linear mixed model (LMM) that included genetic correlations between the SGNCon and SGNTrt traits. Viewing this as a genetic regression of SGNTrt on SGNCon allowed derivation of a stress tolerance trait (SGNTol). Importantly, and by definition of the trait, the genetic effects for SGNTol are statistically independent of those for SGNCon. Thus they represent non-pleiotropic effects associated with the stress treatment that are independent of the control treatment. QTL mapping was conducted using a whole genome approach in which the LMM included all traits and all markers simultaneously. The marker effects within chromosomes were assumed to follow a spatial correlation model. This resulted in smooth marker profiles that could be used to identify positions of putative QTL. The most influential QTL were located on chromosome 5A for SGNTol (126cM; contributed by Halberd), 5A for SGNCon (141cM; Cranbrook) and 2A for SGNTrt (116cM; Cranbrook). Sensitive and tolerant population tail lines all showed matching soil drought tolerance phenotypes, confirming that osmotic stress is a valid surrogate screening method. Genetics Society of America 2018-12-12 /pmc/articles/PMC6385972/ /pubmed/30541928 http://dx.doi.org/10.1534/g3.118.200835 Text en Copyright © 2019 Dolferus 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 Dolferus, Rudy Thavamanikumar, Saravanan Sangma, Harriet Kleven, Sue Wallace, Xiaomei Forrest, Kerrie Rebetzke, Gregory Hayden, Matthew Borg, Lauren Smith, Alison Cullis, Brian Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model |
title | Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model |
title_full | Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model |
title_fullStr | Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model |
title_full_unstemmed | Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model |
title_short | Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model |
title_sort | determining the genetic architecture of reproductive stage drought tolerance in wheat using a correlated trait and correlated marker effect model |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385972/ https://www.ncbi.nlm.nih.gov/pubmed/30541928 http://dx.doi.org/10.1534/g3.118.200835 |
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