Ancestral Sequence Reconstruction for Exploring Alkaloid Evolution.

Ancestral Sequence Reconstruction for Exploring Alkaloid Evolution.
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用于探索生物碱进化的祖先序列重建。

DOI:
10.1007/978-1-0716-2349-7_12
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发表时间:
2022
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
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通讯作者:
Lichman BR
Lichman BR
中科院分区:
--
文献类型:
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作者:
Lichman BR

文献摘要

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在长春花及其近缘种中发现的复杂的、具有生物活性的单萜吲哚生物碱(MIA)是数百万年来通过突变和自然选择进化的产物。祖先序列重建(ASR)是一种结合系统发育分析和实验生物化学来推断蛋白质进化中过去事件细节的方法。在这里,我建议可以利用ASR来了解催化复杂生物碱形成的酶是如何在进化过程中出现的。我讨论了ASR的步骤,包括序列选择,多序列比对,树推断,推断祖先酶的产生和表征。
The complex and bioactive monoterpene indole alkaloids (MIAs) found inCatharanthus roseusand related species are the products of many millions of years of evolution through mutation and natural selection. Ancestral sequence reconstruction (ASR) is a method that combines phylogenetic analysis and experimental biochemistry to infer details about past events in protein evolution. Here, I propose that ASR could be leveraged to understand how enzymes catalyzing the formation of complex alkaloids arose over evolutionary time. I discuss the steps of ASR, including sequence selection, multiple sequence alignment, tree inference, and the generation and characterization of inferred ancestral enzymes.