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Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population

The cuticle is a specialized cell wall layer that covers the outermost surface of the epidermal cells and has important implications for fruit permeability and pathogen susceptibility. In order to decipher the genetic control of tomato fruit cuticle composition, an introgression line (IL) population...

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Autores principales: Fernandez-Moreno, Josefina-Patricia, Levy-Samoha, Dorit, Malitsky, Sergey, Monforte, Antonio J, Orzaez, Diego, Aharoni, Asaph, Granell, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853253/
https://www.ncbi.nlm.nih.gov/pubmed/28475776
http://dx.doi.org/10.1093/jxb/erx134
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author Fernandez-Moreno, Josefina-Patricia
Levy-Samoha, Dorit
Malitsky, Sergey
Monforte, Antonio J
Orzaez, Diego
Aharoni, Asaph
Granell, Antonio
author_facet Fernandez-Moreno, Josefina-Patricia
Levy-Samoha, Dorit
Malitsky, Sergey
Monforte, Antonio J
Orzaez, Diego
Aharoni, Asaph
Granell, Antonio
author_sort Fernandez-Moreno, Josefina-Patricia
collection PubMed
description The cuticle is a specialized cell wall layer that covers the outermost surface of the epidermal cells and has important implications for fruit permeability and pathogen susceptibility. In order to decipher the genetic control of tomato fruit cuticle composition, an introgression line (IL) population derived from a biparental cross between Solanum pennellii (LA0716) and the Solanum lycopersicum cultivar M82 was used to build a first map of associated quantitative trait loci (QTLs). A total of 24 cuticular waxes and 26 cutin monomers were determined. They showed changes associated with 18 genomic regions distributed in nine chromosomes affecting 19 ILs. Out of the five main fruit cuticular components described for the wild species S. pennellii, three of them were associated with IL3.4, IL12.1, and IL7.4.1, causing an increase in n-alkanes (≥C(30)), a decrease in amyrin content, and a decrease in cuticle thickness of ~50%, respectively. Moreover, we also found a QTL associated with increased levels of amyrins in IL3.4. In addition, we propose some candidate genes on the basis of their differential gene expression and single nucleotide polymorphism variability between the introgressed and the recurrent alleles, which will be the subjects of further investigation.
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spelling pubmed-58532532018-07-25 Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population Fernandez-Moreno, Josefina-Patricia Levy-Samoha, Dorit Malitsky, Sergey Monforte, Antonio J Orzaez, Diego Aharoni, Asaph Granell, Antonio J Exp Bot Research Paper The cuticle is a specialized cell wall layer that covers the outermost surface of the epidermal cells and has important implications for fruit permeability and pathogen susceptibility. In order to decipher the genetic control of tomato fruit cuticle composition, an introgression line (IL) population derived from a biparental cross between Solanum pennellii (LA0716) and the Solanum lycopersicum cultivar M82 was used to build a first map of associated quantitative trait loci (QTLs). A total of 24 cuticular waxes and 26 cutin monomers were determined. They showed changes associated with 18 genomic regions distributed in nine chromosomes affecting 19 ILs. Out of the five main fruit cuticular components described for the wild species S. pennellii, three of them were associated with IL3.4, IL12.1, and IL7.4.1, causing an increase in n-alkanes (≥C(30)), a decrease in amyrin content, and a decrease in cuticle thickness of ~50%, respectively. Moreover, we also found a QTL associated with increased levels of amyrins in IL3.4. In addition, we propose some candidate genes on the basis of their differential gene expression and single nucleotide polymorphism variability between the introgressed and the recurrent alleles, which will be the subjects of further investigation. Oxford University Press 2017-05-17 2017-05-04 /pmc/articles/PMC5853253/ /pubmed/28475776 http://dx.doi.org/10.1093/jxb/erx134 Text en © The Author 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://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/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Fernandez-Moreno, Josefina-Patricia
Levy-Samoha, Dorit
Malitsky, Sergey
Monforte, Antonio J
Orzaez, Diego
Aharoni, Asaph
Granell, Antonio
Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population
title Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population
title_full Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population
title_fullStr Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population
title_full_unstemmed Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population
title_short Uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the Solanum pennellii introgression line population
title_sort uncovering tomato quantitative trait loci and candidate genes for fruit cuticular lipid composition using the solanum pennellii introgression line population
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853253/
https://www.ncbi.nlm.nih.gov/pubmed/28475776
http://dx.doi.org/10.1093/jxb/erx134
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