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

机译:Jackprot模拟将突变率与自然选择结合在一起,以说明蛋白质进化不是随机的

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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 Streptomyces lividans, 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, The Jackprot Simulation 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.
机译:蛋白质进化不是一个随机过程。将随机性归因于分子变化,有害性质归因于单基因突变,地质时间不足或分子规模不足以进行分子改良的观点,或援引“设计创造论”以解释分子结构和生物学过程的复杂性的观点是没有根据的。科学证据表明,自然选择可以通过保留自适应肽序列改善分子水平。我们使用老虎机的机率和离子通道显示了分子变化的生物学方向性。由于离子通道位于细胞膜的脂质双层中,因此其残留位置必须与膜的疏水/亲和性平衡。用于离子通过的选择性“孔”位于疏水区域内。我们将来自链霉菌链霉菌的细菌两跨膜结构域(2TM)钾通道KcsA的DNA序列的随机生成与选择不足的情况“ jackprot”进行了对比,该场景预测进化要比偶然情况快得多。我们用JAVA APPLET 1.0版编写了一个计算机程序,并设计了一个在线界面,即Jackprot Simulation http://faculty.rwu.edu/cbai/JackprotSimulation.htm,以模拟在以下情况下突变率与自然选择之间的数值相互作用。多肽进化。要赢得“ jackprot”或最高适应性的完整肽序列,需要在161个KcsA密码子(“ jackdons”中的每一个)的第一,第二和第三位置累积较小的“ wins”(通过选择获得)。导致“ jackprot”的酸)。 “ jackprot”是一种教学工具,可以证明突变率与自然选择结合起来足以解释特殊蛋白质的进化,例如复杂的六跨膜(6TM)域钾,钠或钙通道。编码2TM样蛋白的祖先DNA序列经过核苷酸“编辑”和基因重复生成6TM。离子通道对于神经元,神经节和大脑的生理至关重要,对于意识的进化到来至关重要。 Jackprot Simulation在计算机模型中说明,进化不是也不可能是设计创造论者所设想的随机过程。

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