| 基于定量蛋白质组学的棉花耐涝渍基因初步鉴定 |
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| 引用本文： | 王丽,周仲华,郑顺利,陈金湘,王峰,李瑞莲,张昊.基于定量蛋白质组学的棉花耐涝渍基因初步鉴定[J].棉花学报,2014,26(4):371-376. |
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| 作者姓名： | 王丽 周仲华 郑顺利 陈金湘 王峰 李瑞莲 张昊 |
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| 作者单位： | 湖南农业大学农学院，湖南 长沙 410128 |
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| 基金项目： | 国家自然科学基金（31101110）；湖南省自然科学基金（12JJ2015）；教育部科学研究计划（2012124）；湖南省教育厅项目（11B064，11C0684）；湖南农业大学人才基金（12YJ14）；湖南农业大学作物学博士点开放基金（ZWKF201309） |
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| 摘 要： | 应用iTRAQ标记结合LC-MS/MS分析的定量蛋白质组学技术,比较漂浮育苗及旱土育苗条件下棉花根系蛋白质表达差异,鉴定到169个差异表达蛋白,包括116个上调蛋白和53个下调蛋白。通过对差异表达蛋白的GO分析、COG功能注释分析以及Pathway代谢通路富集分析,发现12%的差异蛋白与棉花水分胁迫反应有关。研究还初步推测漂浮育苗棉花根系有氧呼吸受到抑制,无氧呼吸作用增强,Phosphoglucomutase、Dihydrolipoamide dehydrogenase和Alcohol dehydrogenase可能与棉花耐涝渍密切相关,其对应编码基因是棉花耐涝渍关键候选基因,值得进一步研究。
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| 关 键 词： | 棉花 耐涝渍 定量蛋白质组学 |
| 收稿时间： | 2013-10-15; |
Primary Identification of Waterlogging Tolerance Genes in Cotton (Gossypium hirsutum L.) Based on Quantitative Proteomic Approach |
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| Wang Li,Zhou Zhonghua,Zheng Shunli,Chen Jinxiang,Wang Feng,Li Ruilian,Zhang Hao.Primary Identification of Waterlogging Tolerance Genes in Cotton (Gossypium hirsutum L.) Based on Quantitative Proteomic Approach[J].Cotton Science,2014,26(4):371-376. |
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| Authors: | Wang Li Zhou Zhonghua Zheng Shunli Chen Jinxiang Wang Feng Li Ruilian Zhang Hao |
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| Institution: | College of Agronomy, Hunan Agricultural University, Changsha, Hunan 410128, China |
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| Abstract: | TRAQ labeling combined with LC-MS/MS analysis quantitative proteomics techniques were employed to compare proteome of cotton seedling cultured with floating nursery or nutrient pot method in this paper. Total 169 differentially expressed proteins were identified including 116 up-regulated and 53 down-regulated proteins. GO, COG and KEGG-pathway analysis of these identified proteins reveals that 12% of them were involved in water stress response of cotton. Moreover, the research draw a previous conclusion that aerobic respiration of cotton root bred with floating nursery method is suppressed while anaerobic respiration increased, and phosphoglucomutase, dehydrogenase, alcohol dehydrogenase may be involved in waterlogging tolerance in cotton and the corresponding code genes are key candidate genes that are worth further studying. |
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| Keywords: | waterlogging tolerance quantitative proteomics |
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