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利用 MEGA 从分子数据构建系统发育树。

Building phylogenetic trees from molecular data with MEGA.

机构信息

Bellingham Research Institute, Bellingham, Washington, USA.

出版信息

Mol Biol Evol. 2013 May;30(5):1229-35. doi: 10.1093/molbev/mst012. Epub 2013 Mar 13.

Abstract

Phylogenetic analysis is sometimes regarded as being an intimidating, complex process that requires expertise and years of experience. In fact, it is a fairly straightforward process that can be learned quickly and applied effectively. This Protocol describes the several steps required to produce a phylogenetic tree from molecular data for novices. In the example illustrated here, the program MEGA is used to implement all those steps, thereby eliminating the need to learn several programs, and to deal with multiple file formats from one step to another (Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. 2011. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 28:2731-2739). The first step, identification of a set of homologous sequences and downloading those sequences, is implemented by MEGA's own browser built on top of the Google Chrome toolkit. For the second step, alignment of those sequences, MEGA offers two different algorithms: ClustalW and MUSCLE. For the third step, construction of a phylogenetic tree from the aligned sequences, MEGA offers many different methods. Here we illustrate the maximum likelihood method, beginning with MEGA's Models feature, which permits selecting the most suitable substitution model. Finally, MEGA provides a powerful and flexible interface for the final step, actually drawing the tree for publication. Here a step-by-step protocol is presented in sufficient detail to allow a novice to start with a sequence of interest and to build a publication-quality tree illustrating the evolution of an appropriate set of homologs of that sequence. MEGA is available for use on PCs and Macs from www.megasoftware.net.

摘要

系统发育分析有时被认为是一个令人生畏、复杂的过程,需要专业知识和多年的经验。事实上,它是一个相当简单的过程,可以快速学习并有效地应用。本方案描述了从分子数据生成系统发育树所需的几个步骤,供初学者使用。在本文中,使用 MEGA 程序来实现所有这些步骤,从而无需学习多个程序,并且无需处理从一个步骤到另一个步骤的多个文件格式(Tamura K、Peterson D、Peterson N、Stecher G、Nei M、Kumar S. 2011. MEGA5:使用最大似然法、进化距离和最大简约法进行分子进化遗传学分析。Mol Biol Evol. 28:2731-2739)。第一步,识别一组同源序列并下载这些序列,由 MEGA 自己基于 Google Chrome 工具包构建的浏览器来实现。对于第二步,这些序列的比对,MEGA 提供了两种不同的算法:ClustalW 和 MUSCLE。对于第三步,从对齐的序列构建系统发育树,MEGA 提供了许多不同的方法。在这里,我们说明最大似然法,从 MEGA 的模型功能开始,该功能允许选择最合适的替代模型。最后,MEGA 为最后一步提供了一个强大而灵活的界面,实际为发布绘制树。在这里,提供了一个足够详细的分步方案,允许初学者从感兴趣的序列开始,并构建一个说明该序列的适当同源物进化的出版质量树。MEGA 可在 www.megasoftware.net 上用于 PC 和 Mac。

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