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Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits

Water scarcity constitutes a crucial constraint for agriculture productivity. High-throughput approaches in model plant species identified hundreds of genes potentially involved in survival under drought, but few having beneficial effects on quality and yield. Nonetheless, controlled water deficit m...

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Autores principales: Albert, Elise, Segura, Vincent, Gricourt, Justine, Bonnefoi, Julien, Derivot, Laurent, Causse, Mathilde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181584/
https://www.ncbi.nlm.nih.gov/pubmed/27856709
http://dx.doi.org/10.1093/jxb/erw411
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author Albert, Elise
Segura, Vincent
Gricourt, Justine
Bonnefoi, Julien
Derivot, Laurent
Causse, Mathilde
author_facet Albert, Elise
Segura, Vincent
Gricourt, Justine
Bonnefoi, Julien
Derivot, Laurent
Causse, Mathilde
author_sort Albert, Elise
collection PubMed
description Water scarcity constitutes a crucial constraint for agriculture productivity. High-throughput approaches in model plant species identified hundreds of genes potentially involved in survival under drought, but few having beneficial effects on quality and yield. Nonetheless, controlled water deficit may improve fruit quality through higher concentration of flavor compounds. The underlying genetic determinants are still poorly known. In this study, we phenotyped 141 highly diverse small fruit tomato accessions for 27 traits under two contrasting watering conditions. A subset of 55 accessions exhibited increased metabolite contents and maintained yield under water deficit. Using 6100 single nucleotide polymorphisms (SNPs), association mapping revealed 31, 41, and 44 quantitative trait loci (QTLs) under drought, control, and both conditions, respectively. Twenty-five additional QTLs were interactive between conditions, emphasizing the interest in accounting for QTLs by watering regime interactions in fruit quality improvement. Combining our results with the loci previously identified in a biparental progeny resulted in 11 common QTLs and contributed to a first detailed characterization of the genetic determinants of response to water deficit in tomato. Major QTLs for fruit quality traits were dissected and candidate genes were proposed using expression and polymorphism data. The outcomes provide a basis for fruit quality improvement under deficit irrigation while limiting yield losses.
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spelling pubmed-51815842016-12-27 Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits Albert, Elise Segura, Vincent Gricourt, Justine Bonnefoi, Julien Derivot, Laurent Causse, Mathilde J Exp Bot Research Paper Water scarcity constitutes a crucial constraint for agriculture productivity. High-throughput approaches in model plant species identified hundreds of genes potentially involved in survival under drought, but few having beneficial effects on quality and yield. Nonetheless, controlled water deficit may improve fruit quality through higher concentration of flavor compounds. The underlying genetic determinants are still poorly known. In this study, we phenotyped 141 highly diverse small fruit tomato accessions for 27 traits under two contrasting watering conditions. A subset of 55 accessions exhibited increased metabolite contents and maintained yield under water deficit. Using 6100 single nucleotide polymorphisms (SNPs), association mapping revealed 31, 41, and 44 quantitative trait loci (QTLs) under drought, control, and both conditions, respectively. Twenty-five additional QTLs were interactive between conditions, emphasizing the interest in accounting for QTLs by watering regime interactions in fruit quality improvement. Combining our results with the loci previously identified in a biparental progeny resulted in 11 common QTLs and contributed to a first detailed characterization of the genetic determinants of response to water deficit in tomato. Major QTLs for fruit quality traits were dissected and candidate genes were proposed using expression and polymorphism data. The outcomes provide a basis for fruit quality improvement under deficit irrigation while limiting yield losses. Oxford University Press 2016-12 2016-11-17 /pmc/articles/PMC5181584/ /pubmed/27856709 http://dx.doi.org/10.1093/jxb/erw411 Text en © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Albert, Elise
Segura, Vincent
Gricourt, Justine
Bonnefoi, Julien
Derivot, Laurent
Causse, Mathilde
Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits
title Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits
title_full Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits
title_fullStr Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits
title_full_unstemmed Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits
title_short Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits
title_sort association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181584/
https://www.ncbi.nlm.nih.gov/pubmed/27856709
http://dx.doi.org/10.1093/jxb/erw411
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