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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...

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Autores principales: Dolferus, Rudy, Thavamanikumar, Saravanan, Sangma, Harriet, Kleven, Sue, Wallace, Xiaomei, Forrest, Kerrie, Rebetzke, Gregory, Hayden, Matthew, Borg, Lauren, Smith, Alison, Cullis, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2018
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.
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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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