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Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling

BACKGROUND: The genomes of non-heading Chinese cabbage (Brassica rapa ssp. chinensis), heading Chinese cabbage (Brassica rapa ssp. pekinensis) and their close relative Arabidopsis thaliana have provided important resources for studying the evolution and genetic improvement of cruciferous plants. Nat...

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Autores principales: Song, Xiaoming, Li, Ying, Liu, Tongkun, Duan, Weike, Huang, Zhinan, Wang, Li, Tan, Huawei, Hou, Xilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998049/
https://www.ncbi.nlm.nih.gov/pubmed/24655567
http://dx.doi.org/10.1186/1471-2229-14-71
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author Song, Xiaoming
Li, Ying
Liu, Tongkun
Duan, Weike
Huang, Zhinan
Wang, Li
Tan, Huawei
Hou, Xilin
author_facet Song, Xiaoming
Li, Ying
Liu, Tongkun
Duan, Weike
Huang, Zhinan
Wang, Li
Tan, Huawei
Hou, Xilin
author_sort Song, Xiaoming
collection PubMed
description BACKGROUND: The genomes of non-heading Chinese cabbage (Brassica rapa ssp. chinensis), heading Chinese cabbage (Brassica rapa ssp. pekinensis) and their close relative Arabidopsis thaliana have provided important resources for studying the evolution and genetic improvement of cruciferous plants. Natural growing conditions present these plants with a variety of physiological challenges for which they have a repertoire of genes that ensure adaptability and normal growth. We investigated the differential expressions of genes that control adaptability and development in plants growing in the natural environment to study underlying mechanisms of their expression. RESULTS: Using digital gene expression tag profiling, we constructed an expression profile to identify genes related to important agronomic traits under natural growing conditions. Among three non-heading Chinese cabbage cultivars, we found thousands of genes that exhibited significant differences in expression levels at five developmental stages. Through comparative analysis and previous reports, we identified several candidate genes associated with late flowering, cold tolerance, self-incompatibility, and leaf color. Two genes related to cold tolerance were verified using quantitative real-time PCR. CONCLUSIONS: We identified a large number of genes associated with important agronomic traits of non-heading Chinese cabbage. This analysis will provide a wealth of resources for molecular-assisted breeding of cabbage. The raw data and detailed results of this analysis are available at the website http://nhccdata.njau.edu.cn.
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spelling pubmed-39980492014-04-25 Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling Song, Xiaoming Li, Ying Liu, Tongkun Duan, Weike Huang, Zhinan Wang, Li Tan, Huawei Hou, Xilin BMC Plant Biol Research Article BACKGROUND: The genomes of non-heading Chinese cabbage (Brassica rapa ssp. chinensis), heading Chinese cabbage (Brassica rapa ssp. pekinensis) and their close relative Arabidopsis thaliana have provided important resources for studying the evolution and genetic improvement of cruciferous plants. Natural growing conditions present these plants with a variety of physiological challenges for which they have a repertoire of genes that ensure adaptability and normal growth. We investigated the differential expressions of genes that control adaptability and development in plants growing in the natural environment to study underlying mechanisms of their expression. RESULTS: Using digital gene expression tag profiling, we constructed an expression profile to identify genes related to important agronomic traits under natural growing conditions. Among three non-heading Chinese cabbage cultivars, we found thousands of genes that exhibited significant differences in expression levels at five developmental stages. Through comparative analysis and previous reports, we identified several candidate genes associated with late flowering, cold tolerance, self-incompatibility, and leaf color. Two genes related to cold tolerance were verified using quantitative real-time PCR. CONCLUSIONS: We identified a large number of genes associated with important agronomic traits of non-heading Chinese cabbage. This analysis will provide a wealth of resources for molecular-assisted breeding of cabbage. The raw data and detailed results of this analysis are available at the website http://nhccdata.njau.edu.cn. BioMed Central 2014-03-22 /pmc/articles/PMC3998049/ /pubmed/24655567 http://dx.doi.org/10.1186/1471-2229-14-71 Text en Copyright © 2014 Song 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 credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Song, Xiaoming
Li, Ying
Liu, Tongkun
Duan, Weike
Huang, Zhinan
Wang, Li
Tan, Huawei
Hou, Xilin
Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling
title Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling
title_full Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling
title_fullStr Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling
title_full_unstemmed Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling
title_short Genes associated with agronomic traits in non-heading Chinese cabbage identified by expression profiling
title_sort genes associated with agronomic traits in non-heading chinese cabbage identified by expression profiling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998049/
https://www.ncbi.nlm.nih.gov/pubmed/24655567
http://dx.doi.org/10.1186/1471-2229-14-71
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