推论
透视图(图形)
序列(生物学)
生物
选择(遗传算法)
光学(聚焦)
进化生物学
DNA测序
实施
计算生物学
计算机科学
人工智能
遗传学
DNA
软件工程
光学
物理
出处
期刊:Methods in molecular biology
日期:2022-01-01
卷期号:: 283-303
被引量:4
标识
DOI:10.1007/978-1-0716-2691-7_14
摘要
The reconstruction of genetic material of ancestral organisms constitutes a powerful application of evolutionary biology. A fundamental step in this inference is the ancestral sequence reconstruction (ASR), which can be performed with diverse methodologies implemented in computer frameworks. However, most of these methodologies ignore evolutionary properties frequently observed in microbes, such as genetic recombination and complex selection processes, that can bias the traditional ASR. From a practical perspective, here I review methodologies for the reconstruction of ancestral DNA and protein sequences, with particular focus on microbes, and including biases, recommendations, and software implementations. I conclude that microbial ASR is a complex analysis that should be carefully performed and that there is a need for methods to infer more realistic ancestral microbial sequences.
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