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A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit
In tomato, numerous wild-related species have been demonstrated to be untapped sources of valuable genetic variability, including pathogen-resistance genes, nutritional, and industrial quality traits. From a collection of S. pennellii introgressed lines, 889 fruit metabolic loci (QML) and 326 yield-...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2486480/ https://www.ncbi.nlm.nih.gov/pubmed/18552354 http://dx.doi.org/10.1093/jxb/ern146 |
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author | Bermúdez, L. Urias, U. Milstein, D. Kamenetzky, L. Asis, R. Fernie, A. R. Van Sluys, M. A. Carrari, F. Rossi, M. |
author_facet | Bermúdez, L. Urias, U. Milstein, D. Kamenetzky, L. Asis, R. Fernie, A. R. Van Sluys, M. A. Carrari, F. Rossi, M. |
author_sort | Bermúdez, L. |
collection | PubMed |
description | In tomato, numerous wild-related species have been demonstrated to be untapped sources of valuable genetic variability, including pathogen-resistance genes, nutritional, and industrial quality traits. From a collection of S. pennellii introgressed lines, 889 fruit metabolic loci (QML) and 326 yield-associated loci (YAL), distributed across the tomato genome, had been identified previously. By using a combination of molecular marker sequence analysis, PCR amplification and sequencing, analysis of allelic variation, and evaluation of co-response between gene expression and metabolite composition traits, the present report, provides a comprehensive list of candidate genes co-localizing with a subset of 106 QML and 20 YAL associated either with important agronomic or nutritional characteristics. This combined strategy allowed the identification and analysis of 127 candidate genes located in 16 regions of the tomato genome. Eighty-five genes were cloned and partially sequenced, totalling 45 816 and 45 787 bases from S. lycopersicum and S. pennellii, respectively. Allelic variation at the amino acid level was confirmed for 37 of these candidates. Furthermore, out of the 127 gene-metabolite co-locations, some 56 were recovered following correlation of parallel transcript and metabolite profiling. Results obtained here represent the initial steps in the integration of genetic, genomic, and expressional patterns of genes co-localizing with chemical compositional traits of the tomato fruit. |
format | Text |
id | pubmed-2486480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-24864802009-02-25 A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit Bermúdez, L. Urias, U. Milstein, D. Kamenetzky, L. Asis, R. Fernie, A. R. Van Sluys, M. A. Carrari, F. Rossi, M. J Exp Bot Research Papers In tomato, numerous wild-related species have been demonstrated to be untapped sources of valuable genetic variability, including pathogen-resistance genes, nutritional, and industrial quality traits. From a collection of S. pennellii introgressed lines, 889 fruit metabolic loci (QML) and 326 yield-associated loci (YAL), distributed across the tomato genome, had been identified previously. By using a combination of molecular marker sequence analysis, PCR amplification and sequencing, analysis of allelic variation, and evaluation of co-response between gene expression and metabolite composition traits, the present report, provides a comprehensive list of candidate genes co-localizing with a subset of 106 QML and 20 YAL associated either with important agronomic or nutritional characteristics. This combined strategy allowed the identification and analysis of 127 candidate genes located in 16 regions of the tomato genome. Eighty-five genes were cloned and partially sequenced, totalling 45 816 and 45 787 bases from S. lycopersicum and S. pennellii, respectively. Allelic variation at the amino acid level was confirmed for 37 of these candidates. Furthermore, out of the 127 gene-metabolite co-locations, some 56 were recovered following correlation of parallel transcript and metabolite profiling. Results obtained here represent the initial steps in the integration of genetic, genomic, and expressional patterns of genes co-localizing with chemical compositional traits of the tomato fruit. Oxford University Press 2008-07 2008-06-13 /pmc/articles/PMC2486480/ /pubmed/18552354 http://dx.doi.org/10.1093/jxb/ern146 Text en © 2008 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper is available online free of all access charges (see http://jxb.oxfordjournals.org/open_access.html for further details) |
spellingShingle | Research Papers Bermúdez, L. Urias, U. Milstein, D. Kamenetzky, L. Asis, R. Fernie, A. R. Van Sluys, M. A. Carrari, F. Rossi, M. A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit |
title | A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit |
title_full | A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit |
title_fullStr | A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit |
title_full_unstemmed | A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit |
title_short | A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit |
title_sort | candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2486480/ https://www.ncbi.nlm.nih.gov/pubmed/18552354 http://dx.doi.org/10.1093/jxb/ern146 |
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