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杰克波特模拟将突变率与自然选择相结合,以说明蛋白质进化并非随机。

The Jackprot Simulation Couples Mutation Rate with Natural Selection to Illustrate How Protein Evolution Is Not Random.

作者信息

Paz-Y-Miño C Guillermo, Espinosa Avelina, Bai Chunyan Y

机构信息

Department of Biology, University of Massachusetts Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747-2300, USA.

Department of Biology, Roger Williams University, One Old Ferry Road, Bristol, RI 02809, USA.

出版信息

Evolution (N Y). 2011 Sep;4(3):502-514. doi: 10.1007/s12052-011-0329-2. Epub 2011 Mar 24.

Abstract

Protein evolution is not a random process. Views which attribute randomness to molecular change, deleterious nature to single-gene mutations, insufficient geological time, or population size for molecular improvements to occur, or invoke "design creationism" to account for complexity in molecular structures and biological processes, are unfounded. Scientific evidence suggests that natural selection tinkers with molecular improvements by retaining adaptive peptide sequence. We used slot-machine probabilities and ion channels to show biological directionality on molecular change. Because ion channels reside in the lipid bilayer of cell membranes, their residue location must be in balance with the membrane's hydrophobic/philic nature; a selective "pore" for ion passage is located within the hydrophobic region. We contrasted the random generation of DNA sequence for KcsA, a bacterial two-transmembrane-domain (2TM) potassium channel, from with an under-selection scenario, the "jackprot," which predicted much faster evolution than by chance. We wrote a computer program in JAVA APPLET version 1.0 and designed an online interface, http://faculty.rwu.edu/cbai/JackprotSimulation.htm, to model a numerical interaction between mutation rate and natural selection during a scenario of polypeptide evolution. Winning the "jackprot," or highest-fitness complete-peptide sequence, required cumulative smaller "wins" (rewarded by selection) at the first, second, and third positions in each of the 161 KcsA codons ("jackdons" that led to "jackacids" that led to the "jackprot"). The "jackprot" is a didactic tool to demonstrate how mutation rate coupled with natural selection suffices to explain the evolution of specialized proteins, such as the complex six-transmembrane (6TM) domain potassium, sodium, or calcium channels. Ancestral DNA sequences coding for 2TM-like proteins underwent nucleotide "edition" and gene duplications to generate the 6TMs. Ion channels are essential to the physiology of neurons, ganglia, and brains, and were crucial to the evolutionary advent of consciousness. The Jackprot Simulation illustrates in a computer model that evolution is not and cannot be a random process as conceived by design creationists.

摘要

蛋白质进化并非随机过程。那些将分子变化归因于随机性、将单基因突变视为有害、认为地质时间不足或种群规模不足以实现分子改进,或者援引“设计神创论”来解释分子结构和生物过程复杂性的观点是毫无根据的。科学证据表明,自然选择通过保留适应性肽序列来微调分子改进。我们利用老虎机概率和离子通道来展示分子变化中的生物方向性。由于离子通道位于细胞膜的脂质双层中,其残基位置必须与膜的疏水/亲水性保持平衡;一个用于离子通过的选择性“孔”位于疏水区域内。我们将细菌双跨膜结构域(2TM)钾通道KcsA的DNA序列随机生成与一种选择不足的情况“jackprot”进行了对比,“jackprot”预测其进化速度比随机进化快得多。我们用JAVA APPLET 1.0版本编写了一个计算机程序,并设计了一个在线界面http://faculty.rwu.edu/cbai/JackprotSimulation.htm,以模拟多肽进化过程中突变率与自然选择之间的数值相互作用。赢得“jackprot”,即最高适应性的完整肽序列,需要在161个KcsA密码子的每一个的第一、第二和第三位累积较小的“胜利”(由选择奖励)(导致“jackacids”进而导致“jackprot”的“jackdons”)。“jackprot”是一种教学工具,用于展示突变率与自然选择相结合如何足以解释特殊蛋白质的进化,比如复杂的六跨膜(6TM)结构域钾、钠或钙通道。编码类似2TM蛋白质的祖先DNA序列经历了核苷酸“编辑”和基因复制,从而产生了6TM结构域。离子通道对于神经元、神经节和大脑的生理学至关重要,并且对于意识的进化出现至关重要。Jackprot模拟在计算机模型中表明,进化不是也不可能是设计神创论者所设想的随机过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfe3/4785801/57e7c08f4501/nihms761895f1.jpg

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