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Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.)

BACKGROUND: Diversity estimates in cultivated plants provide a rationale for conservation strategies and support the selection of starting material for breeding programs. Diversity measures applied to crops usually have been limited to the assessment of genome polymorphism at the DNA level. Occasion...

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Autores principales: Laurentin, Hernán, Ratzinger, Astrid, Karlovsky, Petr
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2440766/
https://www.ncbi.nlm.nih.gov/pubmed/18510719
http://dx.doi.org/10.1186/1471-2164-9-250
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author Laurentin, Hernán
Ratzinger, Astrid
Karlovsky, Petr
author_facet Laurentin, Hernán
Ratzinger, Astrid
Karlovsky, Petr
author_sort Laurentin, Hernán
collection PubMed
description BACKGROUND: Diversity estimates in cultivated plants provide a rationale for conservation strategies and support the selection of starting material for breeding programs. Diversity measures applied to crops usually have been limited to the assessment of genome polymorphism at the DNA level. Occasionally, selected morphological features are recorded and the content of key chemical constituents determined, but unbiased and comprehensive chemical phenotypes have not been included systematically in diversity surveys. Our objective in this study was to assess metabolic diversity in sesame by nontargeted metabolic profiling and elucidate the relationship between metabolic and genome diversity in this crop. RESULTS: Ten sesame accessions were selected that represent most of the genome diversity of sesame grown in India, Western Asia, Sudan and Venezuela based on previous AFLP studies. Ethanolic seed extracts were separated by HPLC, metabolites were ionized by positive and negative electrospray and ions were detected with an ion trap mass spectrometer in full-scan mode for m/z from 50 to 1000. Genome diversity was determined by Amplified Fragment Length Polymorphism (AFLP) using eight primer pair combinations. The relationship between biodiversity at the genome and at the metabolome levels was assessed by correlation analysis and multivariate statistics. CONCLUSION: Patterns of diversity at the genomic and metabolic levels differed, indicating that selection played a significant role in the evolution of metabolic diversity in sesame. This result implies that when used for the selection of genotypes in breeding and conservation, diversity assessment based on neutral DNA markers should be complemented with metabolic profiles. We hypothesize that this applies to all crops with a long history of domestication that possess commercially relevant traits affected by chemical phenotypes.
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spelling pubmed-24407662008-06-27 Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.) Laurentin, Hernán Ratzinger, Astrid Karlovsky, Petr BMC Genomics Research Article BACKGROUND: Diversity estimates in cultivated plants provide a rationale for conservation strategies and support the selection of starting material for breeding programs. Diversity measures applied to crops usually have been limited to the assessment of genome polymorphism at the DNA level. Occasionally, selected morphological features are recorded and the content of key chemical constituents determined, but unbiased and comprehensive chemical phenotypes have not been included systematically in diversity surveys. Our objective in this study was to assess metabolic diversity in sesame by nontargeted metabolic profiling and elucidate the relationship between metabolic and genome diversity in this crop. RESULTS: Ten sesame accessions were selected that represent most of the genome diversity of sesame grown in India, Western Asia, Sudan and Venezuela based on previous AFLP studies. Ethanolic seed extracts were separated by HPLC, metabolites were ionized by positive and negative electrospray and ions were detected with an ion trap mass spectrometer in full-scan mode for m/z from 50 to 1000. Genome diversity was determined by Amplified Fragment Length Polymorphism (AFLP) using eight primer pair combinations. The relationship between biodiversity at the genome and at the metabolome levels was assessed by correlation analysis and multivariate statistics. CONCLUSION: Patterns of diversity at the genomic and metabolic levels differed, indicating that selection played a significant role in the evolution of metabolic diversity in sesame. This result implies that when used for the selection of genotypes in breeding and conservation, diversity assessment based on neutral DNA markers should be complemented with metabolic profiles. We hypothesize that this applies to all crops with a long history of domestication that possess commercially relevant traits affected by chemical phenotypes. BioMed Central 2008-05-29 /pmc/articles/PMC2440766/ /pubmed/18510719 http://dx.doi.org/10.1186/1471-2164-9-250 Text en Copyright © 2008 Laurentin et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Laurentin, Hernán
Ratzinger, Astrid
Karlovsky, Petr
Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.)
title Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.)
title_full Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.)
title_fullStr Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.)
title_full_unstemmed Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.)
title_short Relationship between metabolic and genomic diversity in sesame (Sesamum indicum L.)
title_sort relationship between metabolic and genomic diversity in sesame (sesamum indicum l.)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2440766/
https://www.ncbi.nlm.nih.gov/pubmed/18510719
http://dx.doi.org/10.1186/1471-2164-9-250
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