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核苷酸还原酶家族的综合系统发育分析揭示了一个祖先分支。

Comprehensive phylogenetic analysis of the ribonucleotide reductase family reveals an ancestral clade.

机构信息

Department of Chemistry and Chemical Biology, Cornell University, Ithaca, United States.

Research School of Chemistry, Australian National University, Canberra, Australia.

出版信息

Elife. 2022 Sep 1;11:e79790. doi: 10.7554/eLife.79790.

DOI:10.7554/eLife.79790
PMID:36047668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9531940/
Abstract

Ribonucleotide reductases (RNRs) are used by all free-living organisms and many viruses to catalyze an essential step in the de novo biosynthesis of DNA precursors. RNRs are remarkably diverse by primary sequence and cofactor requirement, while sharing a conserved fold and radical-based mechanism for nucleotide reduction. Here, we structurally aligned the diverse RNR family by the conserved catalytic barrel to reconstruct the first large-scale phylogeny consisting of 6779 sequences that unites all extant classes of the RNR family and performed evo-velocity analysis to independently validate our evolutionary model. With a robust phylogeny in-hand, we uncovered a novel, phylogenetically distinct clade that is placed as ancestral to the classes I and II RNRs, which we have termed clade Ø. We employed small-angle X-ray scattering (SAXS), cryogenic-electron microscopy (cryo-EM), and AlphaFold2 to investigate a member of this clade from phage S-CBP4 and report the most minimal RNR architecture to-date. Based on our analyses, we propose an evolutionary model of diversification in the RNR family and delineate how our phylogeny can be used as a roadmap for targeted future study.

摘要

核糖核苷酸还原酶(RNRs)被所有自由生活的生物和许多病毒用来催化 DNA 前体从头生物合成中的一个必需步骤。RNRs 在一级序列和辅助因子需求上差异很大,同时具有保守的折叠和基于自由基的核苷酸还原机制。在这里,我们通过保守的催化桶对不同的 RNR 家族进行结构比对,以重建第一个由 6779 个序列组成的大规模系统发育,将所有现存的 RNR 家族类群统一起来,并进行进化速度分析,独立验证我们的进化模型。有了一个稳健的系统发育,我们发现了一个新的、在系统发育上截然不同的分支,它被置于 I 类和 II 类 RNRs 的祖先位置,我们称之为分支 Ø。我们采用小角 X 射线散射(SAXS)、低温电子显微镜(cryo-EM)和 AlphaFold2 来研究来自噬菌体 S-CBP4 的这个分支的一个成员,并报告迄今为止最简化的 RNR 结构。基于我们的分析,我们提出了 RNR 家族多样化的进化模型,并阐明了我们的系统发育如何可以作为未来有针对性研究的路线图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/cc19128258a8/elife-79790-fig4-figsupp6.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/db79aa97e4b1/elife-79790-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/696bc74b4570/elife-79790-fig4-figsupp2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/cc19128258a8/elife-79790-fig4-figsupp6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/ef609dab71cb/elife-79790-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/1433619047ff/elife-79790-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/ec372850029a/elife-79790-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/9d82f3c529ae/elife-79790-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/b84d38673c42/elife-79790-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/9cbccc7f7ac9/elife-79790-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/26a32a1601f6/elife-79790-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/db79aa97e4b1/elife-79790-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/696bc74b4570/elife-79790-fig4-figsupp2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb31/9531940/cc19128258a8/elife-79790-fig4-figsupp6.jpg

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