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酿酒酵母代谢网络的水平和垂直生长。

Horizontal and vertical growth of S. cerevisiae metabolic network.

机构信息

Physics Department, Sapienza University of Rome, Roma, Italy.

出版信息

BMC Evol Biol. 2011 Oct 14;11:301. doi: 10.1186/1471-2148-11-301.

DOI:10.1186/1471-2148-11-301
PMID:21999464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3216907/
Abstract

BACKGROUND

The growth and development of a biological organism is reflected by its metabolic network, the evolution of which relies on the essential gene duplication mechanism. There are two current views about the evolution of metabolic networks. The retrograde model hypothesizes that a pathway evolves by recruiting novel enzymes in a direction opposite to the metabolic flow. The patchwork model is instead based on the assumption that the evolution is based on the exploitation of broad-specificity enzymes capable of catalysing a variety of metabolic reactions.

RESULTS

We analysed a well-studied unicellular eukaryotic organism, S. cerevisiae, and studied the effect of the removal of paralogous gene products on its metabolic network. Our results, obtained using different paralog and network definitions, show that, after an initial period when gene duplication was indeed instrumental in expanding the metabolic space, the latter reached an equilibrium and subsequent gene duplications were used as a source of more specialized enzymes rather than as a source of novel reactions. We also show that the switch between the two evolutionary strategies in S. cerevisiae can be dated to about 350 million years ago.

CONCLUSIONS

Our data, obtained through a novel analysis methodology, strongly supports the hypothesis that the patchwork model better explains the more recent evolution of the S. cerevisiae metabolic network. Interestingly, the effects of a patchwork strategy acting before the Euascomycete-Hemiascomycete divergence are still detectable today.

摘要

背景

生物有机体的生长和发育反映在其代谢网络中,而代谢网络的进化则依赖于必需的基因复制机制。目前有两种关于代谢网络进化的观点。逆行模型假设途径通过向代谢流相反的方向招募新的酶而进化。而拼凑模型则基于这样的假设,即进化是基于利用能够催化多种代谢反应的广谱特异性酶。

结果

我们分析了一种研究充分的单细胞真核生物 S. cerevisiae,并研究了去除同源基因产物对其代谢网络的影响。我们使用不同的同源和网络定义获得的结果表明,在基因复制确实有助于扩大代谢空间的初始阶段之后,后者达到了平衡,随后的基因复制被用作更专门的酶的来源,而不是新反应的来源。我们还表明,S. cerevisiae 中两种进化策略之间的转变可以追溯到大约 3.5 亿年前。

结论

我们通过一种新的分析方法获得的数据强烈支持了拼凑模型更好地解释了 S. cerevisiae 代谢网络的近期进化的假设。有趣的是,在 Euascomycete-Hemiascomycete 分化之前就已经存在拼凑策略的影响,至今仍能检测到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/3216907/bc05bb2f77d6/1471-2148-11-301-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/3216907/0b3ce05d5318/1471-2148-11-301-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/3216907/884d66cd306c/1471-2148-11-301-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/3216907/bc05bb2f77d6/1471-2148-11-301-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/3216907/0b3ce05d5318/1471-2148-11-301-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/3216907/884d66cd306c/1471-2148-11-301-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/3216907/bc05bb2f77d6/1471-2148-11-301-3.jpg

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本文引用的文献

1
Modeling the complex dynamics of enzyme-pathway coevolution.建模酶途径协同进化的复杂动态。
Chaos. 2010 Dec;20(4):045115. doi: 10.1063/1.3530440.
2
Cytoscape 2.8: new features for data integration and network visualization.Cytoscape 2.8:新的数据集成和网络可视化功能。
Bioinformatics. 2011 Feb 1;27(3):431-2. doi: 10.1093/bioinformatics/btq675. Epub 2010 Dec 12.
3
Ensembl 2011.Ensembl 2011年版
Nucleic Acids Res. 2011 Jan;39(Database issue):D800-6. doi: 10.1093/nar/gkq1064. Epub 2010 Nov 2.
4
Identity and divergence of protein domain architectures after the yeast whole-genome duplication event.酵母全基因组复制事件后蛋白质结构域架构的同一性与分歧
Mol Biosyst. 2010 Nov;6(11):2305-15. doi: 10.1039/c003507f. Epub 2010 Aug 26.
5
Ordered structure of the transcription network inherited from the yeast whole-genome duplication.从酵母全基因组复制继承而来的转录网络的有序结构。
BMC Syst Biol. 2010 Jun 3;4:77. doi: 10.1186/1752-0509-4-77.
6
Rapid reorganization of the transcriptional regulatory network after genome duplication in yeast.酵母基因组加倍后转录调控网络的快速重组。
Proc Biol Sci. 2010 Mar 22;277(1683):869-76. doi: 10.1098/rspb.2009.1592. Epub 2009 Nov 18.
7
Saccharomyces Genome Database provides mutant phenotype data.酿酒酵母基因组数据库提供了突变表型数据。
Nucleic Acids Res. 2010 Jan;38(Database issue):D433-6. doi: 10.1093/nar/gkp917. Epub 2009 Nov 11.
8
KEGG for representation and analysis of molecular networks involving diseases and drugs.KEGG 用于表示和分析涉及疾病和药物的分子网络。
Nucleic Acids Res. 2010 Jan;38(Database issue):D355-60. doi: 10.1093/nar/gkp896. Epub 2009 Oct 30.
9
Evolution of biomolecular networks: lessons from metabolic and protein interactions.生物分子网络的演化:来自代谢和蛋白质相互作用的经验教训。
Nat Rev Mol Cell Biol. 2009 Nov;10(11):791-803. doi: 10.1038/nrm2787.
10
The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.MetaCyc 数据库包含代谢途径和酶,以及 BioCyc 集合的途径/基因组数据库。
Nucleic Acids Res. 2010 Jan;38(Database issue):D473-9. doi: 10.1093/nar/gkp875. Epub 2009 Oct 22.