Advances in Soybean Proteomics(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:

2010年04期

Page:

712-716

Research Field:

Publishing date:

Info

Title:

Advances in Soybean Proteomics

Author(s):

LIU Chun¹; MA Hao²; LIU Jian-hui¹; ZHANG Zhan-qin²; 3; WANG Li-qun²

1.Department of Life Science，Hengyang Normal University， Hengyang 421008，Hunan;

2.National Key Lab of Crop Genetics and Germplasm Enhancement，Nanjing Agricultural University，Nanjing 210095，Jiangsu;

3.Institute of Crop Science， Xinjiang Academy of Agricultural and Reclamation Science，Shihezi 83200， Xinjiang，China

Keywords:

Soybean; Proteomics; 2D-PAGE MALDI-TOF MS; Proteome database

PACS:

S565.1

DOI:

10.11861/j.issn.1000-9841.2010.04.0712

Abstract:

Soybean is an important crop to supply a major portion of the world’s demand for vegetable oil and protein, it is also an important crop for sustainable agriculture, but it is relatively poor model systems for genetics and genomics research, there are little information provides insight into many important aspects of soybean biology. Hence, proteomics is a powerful tool for its functional analysis. This review briefly introduces extraction methods for soybean protein, comprehensive proteomics and differential proteomics analysis of soybean, and the involved soybean proteome databases are listed, future perspective about soybean proteomics is also presented.

References:

[1]Natarajan S, Xu C, Caperna T J, et al. Comparison of protein solubilization methods suitable for proteomic analysis of soybean seed proteins[J]. Analytical Biochemistry, 2005, 342: 214-220.

[2]郑蕊, 喻德跃. 适于蛋白质组研究的大豆种子蛋白双向电泳技术的改进[J]. 大豆科学, 2005, 24 (3): 166- 170. (Zheng R, Yu D Y. Improvement of two-dimensional electrophoresis of soybean seed protein for proteome analysis[J]. Soybean Science, 2005, 24(3): 166-170.)

[3]Natarajan S S, Krishnan H B, Lakshman S,et al. An efficient extraction method to enhance analysis of low abundant proteins from soybean seed[J]. Analytical Biochemistry, 2009, 394 (2): 259-268.

[4]Krishnan H B, Natarajan S S. A rapid method for depletion of Rubisco from soybean (Glycine max) leaf for proteomic analysis of lower abundance proteins[J]. Phytochemistry, 2009, 70: 1958-1964.

[5]王雪,段玉玺,陈立杰. 适用于大豆叶片蛋白质组分析的双向电泳最佳条件研究[J]. 大豆科学，2009, 28 (2): 325-328. (Wang X, Duan Y X, Chen L J. A two-dimensional electrophoresis protocol suitable for proteomic analysis of soybean leaves[J]. Soybean Science, 2009, 28 (2): 325-328.)

[6]Mooney B P, Krishnan H B, Thelen J J. High-throughput peptide mass finger printing of soybean seed proteins: automated workflow and utility of UniGene expressed sequence tag databases for protein identification[J]. Phytochemistry, 2004, 65:1733-1744.

[7]Hajduch M, Ganapathy A, Stein J W, et al. A systematic proteomic study of seed filling in soybean. Establishment of high-resolution two-dimensional reference maps, expression profiles, and an interactive proteome database[J]. Plant Physiology, 2005, 137: 1397-1419.

[8]Oehrle N W, Sarma A D, Waters J K, et al. Proteomic analysis of soybean nodule cytosol [J]. Phytochemistry,2008, 69:2426-2438.

[9]Brechenmacher L, Lee J, Sachdev S, et al. Establishment of a protein reference map for soybean root hair cells [J]. Plant Physiology, 2009, 149: 670-682.

[10]Ahsan N, Komatsu S. Comparative analyses of the proteomes of leaves and flowers at various stages of development reveal organspecific functional differentiation of proteins in soybean[J]. Proteomics, 2009, 9:4889-4907.

[11]Natarajan S S, Xu C, Bae H, et al. Characterization of storage proteins in wild (Glycine soja) and cultivated (Glycine max) soybean seeds using proteomic analysis[J]. Journal of Agriculture and Food Chemistry, 2006, 54: 3114-3120.

[12]李春梅 杨守萍 盖钧镒，等. 野生大豆与栽培大豆种子差异蛋白质组学研究[J]. 生物化学与生物物理进展，2007, 34 (12): 1296-1302. (Li C M, Yang S P, Gai J Y,et al. Comparative proteomic analysis of wild (Glycine soja) and cultivated (Glycine max) soybean seeds[J].Progress in Biochemistry and Biophysics, 2007, 34 (12): 1296-1302.)

[13]徐晓燕, 郑蕊, 李春梅, 等. 大豆种子萌发过程中的差异蛋白质组研究[J]. 生物化学与生物物理进展, 2006, 33 (11): 1106-1112.（Xu X Y, Zheng R, Li C M, et al. Differential proteomic analysis of seed germination in soybean[J]. Progress in Biochemistry and Biophysics, 2006, 33 (11): 1106-1112.）

[14]曾维英, 杨守萍, 喻德跃, 等. 大豆质核互作雄性不育系NJCMS2A及其保持系的花药蛋白质组比较研究[J]. 作物学报, 2007, 33 (10): 1637-1643.( Zeng W Y, Yang S P, Yu D Y, et al. Comparative study on anther proteomics between cytoplasmic-nuclear male-sterile line NJCMS2A and Its maintainer of soybean[J]. Acta Agronomica Sinica, 2007, 33 (10): 1637-1643.)

[15]曾维英 杨守萍 盖钧镒, 等. 大豆质核互作雄性不育系NJCMS1A和其保持系的不同器官蛋白质组比较[J]. 大豆科学，2008, 27 (1): 8-14.( Zeng W Y, Yang S P, Gai J Y, et al. Comparative proteome analysis of different organs between cytoplasmic-nucleat male-sterile line NJCMS1A and its maintainer in soybeans[J]. Soybean Science, 2008, 27 (1): 8-14.)

[16]Xu C, Sullivan J H, Garrett W M. et al. Impact of solar Ultraviolet-B on the proteome in soybean lines differing in flavonoid contents[J]. Phytochemistry, 2008, 69:38-48.

[17]Ren C, Bilyeu K D, Beuselinck P R. Composition, vigor, and proteome of mature soybean seeds developed under high temperature[J]. Crop Science，2009, 49:1010-1022.

[18]Danchenko M, Skultety L, Rashydov N M, et al. Proteomic analysis of mature soybean seeds from the chernobyl area suggests plant adaptation to the contaminated environment[J]. Journal of Proteome Research, 2009, 8:2915-2922，2915.

[19]赫卫, 姜振峰, 赵琳, 等. 不同光长条件下大豆蛋白质组比较研究[J]. 大豆科学，2009, 28 (3): 388-393. (Hao W, Jiang Z F, Zhao L, et al. A comparative study on soybean leaf proteomics under different photoperiod treatments[J]. Soybean Science, 2009, 28 (3): 388-393.)

[20]邱红梅 刘春燕 张代军, 等. 大豆抗疫霉根腐病的蛋白组研究[J]. 作物学报, 2009, 35 (3): 418-423.( Qiu H M, Liu C Y, Zhang D J, et al. Proteome analysis on resistance to phytophora root rot in soybean[J]. Acta Agronomica Sinica, 2009, 35 (3): 418-423.)

[21]Boeckmann B, Bairoch A, Apweiler R, et al. The SWISS-PROT protein knowledge-base and its supplement TrEMBL in 2003[J]. Nucleic Acids Research, 2003, 31: 365-70.

[22]Sakata K, Ohyanagi H, Nobori H, et al. Soybean proteome database: A data resource for plant differential proteomics[J]. Journal of Proteome Research, 2009, 8 (7): 3539-3548.

Memo

Memo:

-

Common functions