Karr T L
Department of Biology and Biochemistry, University of Bath, Bath, UK.
Heredity (Edinb). 2008 Feb;100(2):200-6. doi: 10.1038/sj.hdy.6801008. Epub 2007 Aug 15.
Proteomics is a relatively new scientific discipline that merges protein biochemistry, genome biology and bioinformatics to determine the spatial and temporal expression of proteins in cells, tissues and whole organisms. There has been very little application of proteomics to the fields of behavioral genetics, evolution, ecology and population dynamics, and has only recently been effectively applied to the closely allied fields of molecular evolution and genetics. However, there exists considerable potential for proteomics to impact in areas related to functional ecology; this review will introduce the general concepts and methodologies that define the field of proteomics and compare and contrast the advantages and disadvantages with other methods. Examples of how proteomics can aid, complement and indeed extend the study of functional ecology will be discussed including the main tool of ecological studies, population genetics with an emphasis on metapopulation structure analysis. Because proteomic analyses provide a direct measure of gene expression, it obviates some of the limitations associated with other genomic approaches, such as microarray and EST analyses. Likewise, in conjunction with associated bioinformatics and molecular evolutionary tools, proteomics can provide the foundation of a systems-level integration approach that can enhance ecological studies. It can be envisioned that proteomics will provide important new information on issues specific to metapopulation biology and adaptive processes in nature. A specific example of the application of proteomics to sperm ageing is provided to illustrate the potential utility of the approach.
蛋白质组学是一门相对较新的科学学科,它融合了蛋白质生物化学、基因组生物学和生物信息学,以确定蛋白质在细胞、组织和整个生物体中的时空表达。蛋白质组学在行为遗传学、进化、生态和种群动态等领域的应用非常少,直到最近才有效地应用于分子进化和遗传学等密切相关领域。然而,蛋白质组学在功能生态学相关领域具有相当大的潜力;本综述将介绍定义蛋白质组学领域的一般概念和方法,并与其他方法比较优缺点。将讨论蛋白质组学如何帮助、补充并确实扩展功能生态学研究的例子,包括生态研究的主要工具——种群遗传学,重点是集合种群结构分析。由于蛋白质组学分析提供了基因表达的直接测量方法,它避免了与其他基因组方法(如微阵列和EST分析)相关的一些局限性。同样,结合相关的生物信息学和分子进化工具,蛋白质组学可以为系统水平的整合方法提供基础,从而加强生态研究。可以设想,蛋白质组学将为集合种群生物学和自然中的适应性过程等特定问题提供重要的新信息。提供了蛋白质组学应用于精子老化的一个具体例子,以说明该方法的潜在效用。