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Comparative Proteomics of Peanut Gynophore Development under Dark and Mechanical Stimulation

文献类型： 外文期刊

作者： Sun, Yong 1 ; Wang, Qingguo 1 ; Li, Zhen 1 ; Hou, Lei 1 ; Dai, Shaojun 2 ; Liu, Wei 1 ;

作者机构： 1.Shandong Acad Agr Sci, Biotechnol Res Ctr, Key Lab Genet Improvement Ecol & Physiol Crops, Jinan 250100, Shandong, Peoples R China

2.Shanghai Normal Univ, Coll Life & Environm Sci, Dev Ctr Plant Germplasm Resources, Shanghai 200234, Peoples R China

3.Northeast Forestry Univ, Key Lab Saline Alkali Vegetat Ecol Restorat Oil F, Alkali Soil Nat Environm Sci Ctr, Minist Educ, Harbin 150040, Heilongjiang, Peoples R China

关键词： peanut; gynophore; dark and mechanical stimulation; proteomics

期刊名称：JOURNAL OF PROTEOME RESEARCH （ 影响因子：4.466； 五年影响因子：4.352 ）

ISSN： 1535-3893

年卷期： 2013 年 12 卷 12 期

页码：

收录情况： SCI

摘要： Peanut (Arachis hypogaea. L) is an important leguminous crop and source of proteins and lipids. It has attracted widespread attention of researchers due to its unique growth habit of geocarpy, which is regulated by geotropism, negative phototropism, and haptotropism. However, the protein expression pattern and molecular regulatory mechanism underlying the physiological processes of peanut remain unknown. In this study, the peanut gynophores under five treatment conditions were used for proteomic analysis, including aerial growth of the gynophores, the gynophores penetrated into the soil, as well as aerial growth of the gynophores under mechanical stimulation, dark, and mechanical stimulation combined with dark. The analysis of protein abundances in peanut gynophores under these conditions were conducted using comparative proteomic approaches. A total of 27 differentially expressed proteins were identified and further classified into nine biological functional groups of stress and defense, carbohydrate and energy metabolism, metabolism, photosynthesis, cell structure, signaling, transcription, protein folding and degradation, and function unknown. By searching gene functions against peanut database, 10 genes with similar annotations were selected as corresponding changed proteins, and their variation trends in gynophores under such growth conditions were further verified using quantitative real-time PCR. Overall, the investigation will benefit to enrich our understanding of the internal mechanisms of peanut gynophore development and lay a foundation for breeding and improving crop varieties and qualities.

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