系统发生学

Eliane Barbosa Evanovich dos Santos
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引用次数: 0

摘要

描写生物的多样性一直激励着人们。亚里士多德提出的分类在今天看来似乎是naïve和不自然的,但它从古希腊一直持续到1758年林奈的《自然系统》出版。博物学家卡尔·林奈提出的分类方法虽然相当准确,但却没有考虑到生物之间的进化关系。这种观点虽然早于达尔文,但在《物种起源》之后才得到应有的重视。仅在20世纪,Hennig建立了一个新的领域——系统发育系统学,并由此产生了一系列有用的构建系统发育树的方法,如最大简约、邻居连接、UPGMA、最大似然和贝叶斯推理。随着信息技术的进步,系统发育分析变得更加复杂和快速。在分析程序中使用的算法变得更加复杂和现实,有利于增加替代模型。这些数据的应用以及在生成核苷酸和氨基酸序列方面的更大便利使得以前无法想象的比较成为可能,例如在细菌和真核生物之间进行比较。这样一来,系统发育知识的进步历史就与关于生命起源的更广泛的知识混淆了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phylogenetics
Describing the diversity of living beings has always instigated man. The classification proposed by Aristotle today seems naïve and unnatural, but it lasted from ancient Greece until the publication of the Linnaeus Systema Naturae in 1758. Although quite accurate, the taxonomic classification proposed by naturalist Carl Linnaeus did not consider the evolutionary relationships between living beings. This view, although prior to Charles Darwin, only gained deserved prominence after On the Origin of Species. Only in the twentieth century, a new area founded by Hennig, phylogenetic systematics was implemented, and with this, a series of useful methods in the construction of phylogenetic trees arose, as maximum parsimony, neighbor joining, UPGMA, maximum likelihood, and Bayesian inference. With the advancement of information technology, phylogenetic analyses have become more sophisticated and faster. The algorithms used in the analysis programs have become more complex and realistic, favoring the addition of substitution models. The application of these data and the greater facility in generating nucleotide and amino acid sequences allowed the comparison previously unimaginable, for example, between bacteria and eukaryotes. In this way, the history of the advances of phylogenetic knowledge is confused with the greater knowledge about the origin of life.
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