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The patterns of population differentiation in a Brassica rapa core collection

With the recent advances in high throughput profiling techniques the amount of genetic and phenotypic data available has increased dramatically. Although many genetic diversity studies combine morphological and genetic data, metabolite profiling has yet to be integrated into these studies. For our s...

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Autores principales: Pino Del Carpio, Dunia, Basnet, Ram Kumar, De Vos, Ric C. H., Maliepaard, Chris, Visser, Richard, Bonnema, Guusje
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057009/
https://www.ncbi.nlm.nih.gov/pubmed/21193901
http://dx.doi.org/10.1007/s00122-010-1516-1
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author Pino Del Carpio, Dunia
Basnet, Ram Kumar
De Vos, Ric C. H.
Maliepaard, Chris
Visser, Richard
Bonnema, Guusje
author_facet Pino Del Carpio, Dunia
Basnet, Ram Kumar
De Vos, Ric C. H.
Maliepaard, Chris
Visser, Richard
Bonnema, Guusje
author_sort Pino Del Carpio, Dunia
collection PubMed
description With the recent advances in high throughput profiling techniques the amount of genetic and phenotypic data available has increased dramatically. Although many genetic diversity studies combine morphological and genetic data, metabolite profiling has yet to be integrated into these studies. For our study we selected 168 accessions representing the different morphotypes and geographic origins of Brassica rapa. Metabolite profiling was performed on all plants of this collection in the youngest expanded leaves, 5 weeks after transplanting and the same material was used for molecular marker profiling. During the same season a year later, 26 morphological characteristics were measured on plants that had been vernalized in the seedling stage. The number of groups and composition following a hierarchical clustering with molecular markers was highly correlated to the groups based on morphological traits (r = 0.420) and metabolic profiles (r = 0.476). To reveal the admixture levels in B. rapa, comparison with the results of the programme STRUCTURE was needed to obtain information on population substructure. To analyze 5546 metabolite (LC–MS) signals the groups identified with STRUCTURE were used for random forests classification. When comparing the random forests and STRUCTURE membership probabilities 86% of the accessions were allocated into the same subgroup. Our findings indicate that if extensive phenotypic data (metabolites) are available, classification based on this type of data is very comparable to genetic classification. These multivariate types of data and methodological approaches are valuable for the selection of accessions to study the genetics of selected traits and for genetic improvement programs, and additionally provide information on the evolution of the different morphotypes in B. rapa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-010-1516-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-30570092011-04-05 The patterns of population differentiation in a Brassica rapa core collection Pino Del Carpio, Dunia Basnet, Ram Kumar De Vos, Ric C. H. Maliepaard, Chris Visser, Richard Bonnema, Guusje Theor Appl Genet Original Paper With the recent advances in high throughput profiling techniques the amount of genetic and phenotypic data available has increased dramatically. Although many genetic diversity studies combine morphological and genetic data, metabolite profiling has yet to be integrated into these studies. For our study we selected 168 accessions representing the different morphotypes and geographic origins of Brassica rapa. Metabolite profiling was performed on all plants of this collection in the youngest expanded leaves, 5 weeks after transplanting and the same material was used for molecular marker profiling. During the same season a year later, 26 morphological characteristics were measured on plants that had been vernalized in the seedling stage. The number of groups and composition following a hierarchical clustering with molecular markers was highly correlated to the groups based on morphological traits (r = 0.420) and metabolic profiles (r = 0.476). To reveal the admixture levels in B. rapa, comparison with the results of the programme STRUCTURE was needed to obtain information on population substructure. To analyze 5546 metabolite (LC–MS) signals the groups identified with STRUCTURE were used for random forests classification. When comparing the random forests and STRUCTURE membership probabilities 86% of the accessions were allocated into the same subgroup. Our findings indicate that if extensive phenotypic data (metabolites) are available, classification based on this type of data is very comparable to genetic classification. These multivariate types of data and methodological approaches are valuable for the selection of accessions to study the genetics of selected traits and for genetic improvement programs, and additionally provide information on the evolution of the different morphotypes in B. rapa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-010-1516-1) contains supplementary material, which is available to authorized users. Springer-Verlag 2010-12-31 2011 /pmc/articles/PMC3057009/ /pubmed/21193901 http://dx.doi.org/10.1007/s00122-010-1516-1 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Paper
Pino Del Carpio, Dunia
Basnet, Ram Kumar
De Vos, Ric C. H.
Maliepaard, Chris
Visser, Richard
Bonnema, Guusje
The patterns of population differentiation in a Brassica rapa core collection
title The patterns of population differentiation in a Brassica rapa core collection
title_full The patterns of population differentiation in a Brassica rapa core collection
title_fullStr The patterns of population differentiation in a Brassica rapa core collection
title_full_unstemmed The patterns of population differentiation in a Brassica rapa core collection
title_short The patterns of population differentiation in a Brassica rapa core collection
title_sort patterns of population differentiation in a brassica rapa core collection
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057009/
https://www.ncbi.nlm.nih.gov/pubmed/21193901
http://dx.doi.org/10.1007/s00122-010-1516-1
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