Proteome analysis of non-model plants: A challenging but powerful approach

被引:132
作者
Carpentier, Sebastien Christian [1 ]
Panis, Bart [1 ]
Vertommen, Annelies [1 ]
Swennen, Rony [1 ]
Sergeant, Kjell [2 ]
Renaut, Jenny [2 ]
Laukens, Kris [3 ]
Witters, Erwin [4 ,5 ]
Samyn, Bart [6 ]
Devreese, Bart [6 ]
机构
[1] Katholieke Univ Leuven, Fac Biosci Engn, Div Crop Biotech, B-3001 Leuven, Belgium
[2] CRP Gabriel Lippmann, Dept Environm & Agrobiotechnol, Belvaux, Luxembourg
[3] Univ Antwerp, Intelligent Syst Lab, B-2020 Antwerp, Belgium
[4] Univ Antwerp, Ctr Proteome Anal & Mass Spectrometry, B-2020 Antwerp, Belgium
[5] Vlaamse Instelling Technol Onderzoek, Flemish Inst Technol Res, B-2400 Mol, Belgium
[6] Univ Ghent, Lab Prot Biochem & Biomol Engn, B-9000 Ghent, Belgium
关键词
2DE; cross-species identification; data analysis; data integration; de novo peptide sequencing; plant proteomics; methodology; MS/MS; non-model organism; sample preparation; sequence similarity search;
D O I
10.1002/mas.20170
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Biological research has focused in the past on model organisms and most of the functional genomics studies in the field of plant sciences are still performed on model species or species that are characterized to a great extent. However numerous non-model plants are essential as food, feed, or energy resource. Some features and processes are unique to these plant species or families and cannot be approached via a model plant. The power of all proteomic and transcriptomic methods, that is, high-throughput identification of candidate gene products, tends to be lost in non-model species due to the lack of genomic information or due to the sequence divergence to a related model organism. Nevertheless, a proteomics approach has a great potential to study non-model species. This work reviews non-model plants from a proteomic angle and provides an outline of the problems encountered when initiating the proteome analysis of a non-model organism. The review tackles problems associated with (i) sample preparation, (ii) the analysis and interpretation of a complex data set, (iii) the protein identification via MS, and (iv) data management and integration. We will illustrate the power of 2DE for non-model plants in combination with multivariate data analysis and MS/MS identification and will evaluate possible alternatives.
引用
收藏
页码:354 / 377
页数:24
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