Galván José Valero, Fernández Raquel González, Valledor Luis, Cerrillo Rafael Ma Navarro, Jorrin-Novo Jesus V
Department of Chemistry-Biology, Biomedical Sciences Institute, Autonomous University of Ciudad Juárez, Chihuahua, México.
Methods Mol Biol. 2014;1072:709-23. doi: 10.1007/978-1-62703-631-3_49.
Proteomics has become a powerful tool to characterize biodiversity and natural variability in plant species, as well as to catalogue and establish phylogenetic relationships and distances among populations, provenances or ecotypes. In this chapter, we describe the standard proteomics workflow that we currently use in cataloguing Holm oak (Quercus ilex subsp. ballota [Desf.] Samp.) populations. Proteins are extracted from acorn flour or pollen by TCA/acetone or TCA/acetone-phenol methods, resolved by one- or two-dimensional gel electrophoresis, and gel images are captured and analyzed by appropriate software and statistical packages. Quantitative or qualitative variable bands or spots are subjected to MS analysis in order to identify them and correlate differences in the protein profile with the phenotypes or environmental conditions.
蛋白质组学已成为表征植物物种生物多样性和自然变异性的强大工具，也是对种群、种源或生态型之间的系统发育关系和距离进行编目和建立的有力手段。在本章中，我们描述了目前用于对圣栎（Quercus ilex subsp. ballota [Desf.] Samp.）种群进行编目的标准蛋白质组学工作流程。通过三氯乙酸/丙酮或三氯乙酸/丙酮 - 苯酚法从橡子粉或花粉中提取蛋白质，通过一维或二维凝胶电泳进行分离，然后用适当的软件和统计软件包捕获并分析凝胶图像。对定量或定性的可变条带或斑点进行质谱分析，以识别它们，并将蛋白质谱的差异与表型或环境条件相关联。
