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Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies
BACKGROUND: Genetic diversity among wild accessions and cultivars of common bean (Phaseolus vulgaris L.) has been characterized using plant morphology, seed protein allozymes, random amplified polymorphic DNA, restriction fragment length polymorphisms, DNA sequence analysis, chloroplast DNA, and mic...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3014982/ https://www.ncbi.nlm.nih.gov/pubmed/21126341 http://dx.doi.org/10.1186/1471-2164-11-686 |
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author | Mensack, Meghan M Fitzgerald, Vanessa K Ryan, Elizabeth P Lewis, Matthew R Thompson, Henry J Brick, Mark A |
author_facet | Mensack, Meghan M Fitzgerald, Vanessa K Ryan, Elizabeth P Lewis, Matthew R Thompson, Henry J Brick, Mark A |
author_sort | Mensack, Meghan M |
collection | PubMed |
description | BACKGROUND: Genetic diversity among wild accessions and cultivars of common bean (Phaseolus vulgaris L.) has been characterized using plant morphology, seed protein allozymes, random amplified polymorphic DNA, restriction fragment length polymorphisms, DNA sequence analysis, chloroplast DNA, and microsatellite markers. Yet, little is known about whether these traits, which distinguish among genetically distinct types of common bean, can be evaluated using omics technologies. RESULTS: Three 'omics' approaches: transcriptomics, proteomics, and metabolomics were used to qualitatively evaluate the diversity of common bean from two Centers of Domestication (COD). All three approaches were able to classify common bean according to their COD using unsupervised analyses; these findings are consistent with the hypothesis that differences exist in gene transcription, protein expression, and synthesis and metabolism of small molecules among common bean cultivars representative of different COD. Metabolomic analyses of multiple cultivars within two common bean gene pools revealed cultivar differences in small molecules that were of sufficient magnitude to allow identification of unique cultivar fingerprints. CONCLUSIONS: Given the high-throughput and low cost of each of these 'omics' platforms, significant opportunities exist for their use in the rapid identification of traits of agronomic and nutritional importance as well as to characterize genetic diversity. |
format | Text |
id | pubmed-3014982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30149822011-01-05 Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies Mensack, Meghan M Fitzgerald, Vanessa K Ryan, Elizabeth P Lewis, Matthew R Thompson, Henry J Brick, Mark A BMC Genomics Research Article BACKGROUND: Genetic diversity among wild accessions and cultivars of common bean (Phaseolus vulgaris L.) has been characterized using plant morphology, seed protein allozymes, random amplified polymorphic DNA, restriction fragment length polymorphisms, DNA sequence analysis, chloroplast DNA, and microsatellite markers. Yet, little is known about whether these traits, which distinguish among genetically distinct types of common bean, can be evaluated using omics technologies. RESULTS: Three 'omics' approaches: transcriptomics, proteomics, and metabolomics were used to qualitatively evaluate the diversity of common bean from two Centers of Domestication (COD). All three approaches were able to classify common bean according to their COD using unsupervised analyses; these findings are consistent with the hypothesis that differences exist in gene transcription, protein expression, and synthesis and metabolism of small molecules among common bean cultivars representative of different COD. Metabolomic analyses of multiple cultivars within two common bean gene pools revealed cultivar differences in small molecules that were of sufficient magnitude to allow identification of unique cultivar fingerprints. CONCLUSIONS: Given the high-throughput and low cost of each of these 'omics' platforms, significant opportunities exist for their use in the rapid identification of traits of agronomic and nutritional importance as well as to characterize genetic diversity. BioMed Central 2010-12-02 /pmc/articles/PMC3014982/ /pubmed/21126341 http://dx.doi.org/10.1186/1471-2164-11-686 Text en Copyright ©2010 Mensack et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mensack, Meghan M Fitzgerald, Vanessa K Ryan, Elizabeth P Lewis, Matthew R Thompson, Henry J Brick, Mark A Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies |
title | Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies |
title_full | Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies |
title_fullStr | Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies |
title_full_unstemmed | Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies |
title_short | Evaluation of diversity among common beans (Phaseolus vulgaris L.) from two centers of domestication using 'omics' technologies |
title_sort | evaluation of diversity among common beans (phaseolus vulgaris l.) from two centers of domestication using 'omics' technologies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3014982/ https://www.ncbi.nlm.nih.gov/pubmed/21126341 http://dx.doi.org/10.1186/1471-2164-11-686 |
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