• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Testing a biosynthetic theory of the genetic code: fact or artifact?检验遗传密码的生物合成理论:事实还是假象?
Proc Natl Acad Sci U S A. 2000 Dec 5;97(25):13690-5. doi: 10.1073/pnas.250403097.
2
An extension of the coevolution theory of the origin of the genetic code.遗传密码起源的共同进化理论的扩展。
Biol Direct. 2008 Sep 5;3:37. doi: 10.1186/1745-6150-3-37.
3
The lack of foundation in the mechanism on which are based the physico-chemical theories for the origin of the genetic code is counterposed to the credible and natural mechanism suggested by the coevolution theory.物理化学理论中关于遗传密码起源所依据的机制缺乏基础,这与协同进化理论所提出的可信且自然的机制形成了对比。
J Theor Biol. 2016 Jun 21;399:134-40. doi: 10.1016/j.jtbi.2016.04.005. Epub 2016 Apr 8.
4
The genetic code is very close to a global optimum in a model of its origin taking into account both the partition energy of amino acids and their biosynthetic relationships.考虑到氨基酸的分配能和它们的生物合成关系,遗传密码在起源模型中非常接近全局最优。
Biosystems. 2022 Apr;214:104613. doi: 10.1016/j.biosystems.2022.104613. Epub 2022 Jan 24.
5
Theories of the origin of the genetic code: Strong corroboration for the coevolution theory.遗传密码起源理论:共同进化理论得到强有力的支持。
Biosystems. 2024 May;239:105217. doi: 10.1016/j.biosystems.2024.105217. Epub 2024 Apr 24.
6
A blind empiricism against the coevolution theory of the origin of the genetic code.对遗传密码起源的共同进化理论的盲目经验主义。
J Mol Evol. 2001 Dec;53(6):724-32. doi: 10.1007/s002390010259.
7
Origin and evolution of the genetic code: the universal enigma.遗传密码的起源与演化:这一普遍存在的谜题。
IUBMB Life. 2009 Feb;61(2):99-111. doi: 10.1002/iub.146.
8
An analysis of the metabolic theory of the origin of the genetic code.遗传密码起源的代谢理论分析
J Mol Evol. 1997 May;44(5):473-6. doi: 10.1007/pl00006170.
9
Physicochemical optimization in the genetic code origin as the number of codified amino acids increases.随着编码氨基酸数量的增加,遗传密码起源中的物理化学优化。
J Mol Evol. 1999 Jul;49(1):1-10. doi: 10.1007/pl00006522.
10
The robust statistical bases of the coevolution theory of genetic code origin.遗传密码起源协同进化理论的稳健统计基础。
J Mol Evol. 2000 Mar;50(3):258-63. doi: 10.1007/s002399910030.

引用本文的文献

1
Fitting the standard genetic code into its triplet table.将标准遗传密码适配到三联体表中。
Proc Natl Acad Sci U S A. 2021 Sep 7;118(36). doi: 10.1073/pnas.2021103118.
2
Evolution of the Standard Genetic Code.标准遗传密码的演变。
J Mol Evol. 2021 Feb;89(1-2):19-44. doi: 10.1007/s00239-020-09983-9. Epub 2021 Jan 24.
3
Optimal Evolution of the Standard Genetic Code.标准遗传密码的最佳进化
J Mol Evol. 2021 Feb;89(1-2):45-49. doi: 10.1007/s00239-020-09984-8. Epub 2021 Jan 24.
4
Genetic code and metabolism: The perpetual waltz.遗传密码与代谢:永不停歇的圆舞曲。
J Biol Chem. 2018 Dec 7;293(49):19157-19158. doi: 10.1074/jbc.H118.006600.
5
Optimization of the standard genetic code according to three codon positions using an evolutionary algorithm.根据三个密码子位置使用进化算法对标准遗传密码进行优化。
PLoS One. 2018 Aug 9;13(8):e0201715. doi: 10.1371/journal.pone.0201715. eCollection 2018.
6
Origins of tmRNA: the missing link in the birth of protein synthesis?转运信使核糖核酸的起源:蛋白质合成诞生过程中缺失的环节?
Nucleic Acids Res. 2016 Sep 30;44(17):8041-51. doi: 10.1093/nar/gkw693. Epub 2016 Aug 2.
7
An integrated, structure- and energy-based view of the genetic code.基于结构和能量的遗传密码综合观点。
Nucleic Acids Res. 2016 Sep 30;44(17):8020-40. doi: 10.1093/nar/gkw608. Epub 2016 Jul 22.
8
From the primordial soup to self-driving cars: standards and their role in natural and technological innovation.从原始汤到自动驾驶汽车:标准及其在自然和技术创新中的作用。
J R Soc Interface. 2016 Feb;13(115):20151086. doi: 10.1098/rsif.2015.1086.
9
Pathways of Genetic Code Evolution in Ancient and Modern Organisms.古代和现代生物体中遗传密码的进化途径
J Mol Evol. 2015 Jun;80(5-6):229-43. doi: 10.1007/s00239-015-9686-8. Epub 2015 Jun 9.
10
Ancestral AlaX editing enzymes for control of genetic code fidelity are not tRNA-specific.用于控制遗传密码保真度的祖先AlaX编辑酶并非tRNA特异性的。
J Biol Chem. 2015 Apr 17;290(16):10495-503. doi: 10.1074/jbc.M115.640060. Epub 2015 Feb 27.

本文引用的文献

1
Evolving Genes and Proteins.不断进化的基因与蛋白质
Science. 1965 Jan 1;147(3653):68-71. doi: 10.1126/science.147.3653.68.
2
Rewiring the keyboard: evolvability of the genetic code.重新编排键盘:遗传密码的可进化性
Nat Rev Genet. 2001 Jan;2(1):49-58. doi: 10.1038/35047500.
3
The robust statistical bases of the coevolution theory of genetic code origin.遗传密码起源协同进化理论的稳健统计基础。
J Mol Evol. 2000 Mar;50(3):258-63. doi: 10.1007/s002399910030.
4
Early fixation of an optimal genetic code.最优遗传密码的早期固定
Mol Biol Evol. 2000 Apr;17(4):511-8. doi: 10.1093/oxfordjournals.molbev.a026331.
5
The many routes of bacterial transfer RNAs after aminoacylation.氨酰化后细菌转运RNA的多种转移途径。
Curr Opin Struct Biol. 2000 Feb;10(1):95-101. doi: 10.1016/s0959-440x(99)00055-x.
6
The coevolution theory of the origin of the genetic code.遗传密码起源的共同进化理论。
J Mol Evol. 1999 Mar;48(3):253-5. doi: 10.1007/pl00006464.
7
The genetic code: what is it good for? An analysis of the effects of selection pressures on genetic codes.遗传密码:它有什么作用?对选择压力对遗传密码影响的分析。
J Mol Evol. 1999 Nov;49(5):539-50. doi: 10.1007/pl00006575.
8
Evolution of the genetic code.遗传密码的演变。
Prog Biophys Mol Biol. 1999;72(2):157-243. doi: 10.1016/s0079-6107(99)00006-1.
9
Gene descent, duplication, and horizontal transfer in the evolution of glutamyl- and glutaminyl-tRNA synthetases.谷氨酰胺-tRNA合成酶和谷氨酰胺-tRNA合成酶进化中的基因谱系、复制及水平转移
J Mol Evol. 1999 Oct;49(4):485-95. doi: 10.1007/pl00006571.
10
Physicochemical optimization in the genetic code origin as the number of codified amino acids increases.随着编码氨基酸数量的增加,遗传密码起源中的物理化学优化。
J Mol Evol. 1999 Jul;49(1):1-10. doi: 10.1007/pl00006522.

检验遗传密码的生物合成理论:事实还是假象?

Testing a biosynthetic theory of the genetic code: fact or artifact?

作者信息

Ronneberg T A, Landweber L F, Freeland S J

机构信息

Departments of Ecology and Evolutionary Biology, and Chemistry, Princeton University, Princeton, NJ 08544, USA.

出版信息

Proc Natl Acad Sci U S A. 2000 Dec 5;97(25):13690-5. doi: 10.1073/pnas.250403097.

DOI:10.1073/pnas.250403097
PMID:11087835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC17637/
Abstract

It has long been conjectured that the canonical genetic code evolved from a simpler primordial form that encoded fewer amino acids [e.g., Crick, F. H. C. (1968) J. Mol. Biol. 38, 367-379]. The most influential form of this idea, "code coevolution" [Wong, J. T.-F. (1975) Proc. Natl. Acad. Sci. USA 72, 1909-1912], proposes that the genetic code coevolved with the invention of biosynthetic pathways for new amino acids. It further proposes that a comparison of modern codon assignments with the conserved metabolic pathways of amino acid biosynthesis can inform us about this history of code expansion. Here we re-examine the biochemical basis of this theory to test the validity of its statistical support. We show that the theory's definition of "precursor-product" amino acid pairs is unjustified biochemically because it requires the energetically unfavorable reversal of steps in extant metabolic pathways to achieve desired relationships. In addition, the theory neglects important biochemical constraints when calculating the probability that chance could assign precursor-product amino acids to contiguous codons. A conservative correction for these errors reveals a surprisingly high 23% probability that apparent patterns within the code are caused purely by chance. Finally, even this figure rests on post hoc assumptions about primordial codon assignments, without which the probability rises to 62% that chance alone could explain the precursor-product pairings found within the code. Thus we conclude that coevolution theory cannot adequately explain the structure of the genetic code.

摘要

长期以来,人们一直推测标准遗传密码是从一种编码较少氨基酸的更简单的原始形式进化而来的[例如,克里克,F.H.C.(1968年)《分子生物学杂志》38卷,367 - 379页]。这个观点最有影响力的形式,即“密码子共同进化”[王,J.T.-F.(1975年)《美国国家科学院院刊》72卷,1909 - 1912页],提出遗传密码是与新氨基酸生物合成途径的发明共同进化的。它还提出,将现代密码子分配与氨基酸生物合成的保守代谢途径进行比较,可以让我们了解密码扩展的历史。在这里,我们重新审视这一理论的生化基础,以检验其统计支持的有效性。我们表明,该理论对“前体 - 产物”氨基酸对的定义在生化上是不合理的,因为它需要现存代谢途径中步骤的能量上不利的逆转才能实现所需的关系。此外,该理论在计算偶然将前体 - 产物氨基酸分配到相邻密码子的概率时忽略了重要的生化限制。对这些错误进行保守修正后发现,密码内明显模式纯粹由偶然导致的概率高得出奇,为23%。最后,即使这个数字也基于关于原始密码子分配的事后假设,没有这些假设,仅靠偶然就能解释密码内发现的前体 - 产物配对的概率升至62%。因此,我们得出结论,共同进化理论不能充分解释遗传密码的结构。