Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover.
Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover.
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DOI：
10.1038/s41598-017-14628-x
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发表时间：
2017-11-14
影响因子：
4.6
通讯作者：
Knight CG
中科院分区：
文献类型：
--
作者：
Aston E;Channon A;Belavkin RV;Gifford DR;Krašovec R;Knight CG
临界突变率（CMR）决定了适者生存和具有更大突变稳健性（“最平坦”）的个体生存之间的转变。我们在一个具有双峰适应度景观的计算机系统中发现了CMR与序列长度之间的反比关系；CMR降低到不超过真核生物每碱基突变率估计的5个数量级。我们证实CMR在低群体规模时呈指数下降，与峰值半径和距离无关，并随着遗传杂交数量的增加而增加。我们还确定了CMR与基因数量之间的反比关系，证实对于与拟南芥（拟南芥）相似的基因数量（25,000），CMR接近其已知的野生型突变率；其他生物体的突变率也被发现在CMR的一个数量级内。这是第一次这样的模拟模型被分配输入并在给定生物有机体的范围内产生输出。先前观察到的CMR随种群规模的减小保持不变；该模型有可能影响对面临瓶颈、压力的种群的理解，以及对濒临灭绝种群的保护策略。
The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness (“flattest”). We identify an inverse relationship between CMR and sequence length in an in silico system with a two-peak fitness landscape; CMR decreases to no more than five orders of magnitude above estimates of eukaryotic per base mutation rate. We confirm the CMR reduces exponentially at low population sizes, irrespective of peak radius and distance, and increases with the number of genetic crossovers. We also identify an inverse relationship between CMR and the number of genes, confirming that, for a similar number of genes to that for the plant Arabidopsis thaliana (25,000), the CMR is close to its known wild-type mutation rate; mutation rates for additional organisms were also found to be within one order of magnitude of the CMR. This is the first time such a simulation model has been assigned input and produced output within range for a given biological organism. The decrease in CMR with population size previously observed is maintained; there is potential for the model to influence understanding of populations undergoing bottleneck, stress, and conservation strategy for populations near extinction.
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影响因子：
3.7
作者：
Aston E;Channon A;Day C;Knight CG
通讯作者：
Knight CG
影响因子：
64.8
作者：
Denver, DR;Morris, K;Thomas, WK
通讯作者：
Thomas, WK
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影响因子：
9.9
作者：
通讯作者：
--
DOI：
10.1098/rspb.1996.0231
发表时间：
1996-11-22
影响因子：
4.7
作者：
Boerlijst, MC;Bonhoeffer, S;Nowak, MA
通讯作者：
Nowak, MA
影响因子：
4.5
作者：
Giraut L;Falque M;Drouaud J;Pereira L;Martin OC;Mézard C
通讯作者：
Mézard C