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Kimura 两参数模型在自然进化过程中的扩展。

An Extension of the Kimura Two-Parameter Model to the Natural Evolutionary Process.

机构信息

Department of Information Sciences, Tokyo University of Science, Noda, Chiba, 278-8510, Japan.

出版信息

J Mol Evol. 2019 Jan;87(1):60-67. doi: 10.1007/s00239-018-9885-1. Epub 2019 Jan 10.

Abstract

Accurate estimates of genetic difference are required for research in evolutionary biology. Here we extend the Kimura two-parameter (K2P) model by considering gaps (insertions and/or deletions) and introduce a new measure for estimating genetic difference between two nucleotide sequences in terms of nucleotide changes that have occurred during the evolutionary process. Using the nuclear ribosomal DNA internal transcribed spacer 2 region from the genus Physalis, we demonstrate that species identification and phylogenetic studies strongly depend on evolutionary models. It is especially noteworthy that the use of different models affects the degree of overlap between intraspecific and interspecific genetic differences. We observe that the percentage of interspecific sequence pairs with values less than the maximum intraspecific genetic difference is 43.2% for the K2P model which is calculated by removing gap sites across all sequences, 22.7% for the K2P model which is calculated by removing gap sites for sequence pairs, and 16.9% for our model which is calculated without removing gap sites. Additionally, the numbers of sequence pairs with interspecific genetic differences of zero are 50 for the K2P model and 29 for our model. The genetic difference measure based on the K2P model, compared to our model, overestimates 21 sequence pairs that are not originally identical. These results indicate the importance of estimating genetic differences under the model of sequence evolution that includes insertions and deletions in addition to substitutions.

摘要

准确估计遗传差异是进化生物学研究的需要。在这里,我们通过考虑空位(插入和/或缺失)扩展了 Kimura 双参数(K2P)模型,并引入了一种新的度量方法,用于根据进化过程中发生的核苷酸变化来估计两个核苷酸序列之间的遗传差异。使用Physalis 属的核核糖体 DNA 内部转录间隔区 2 区域,我们证明了物种鉴定和系统发育研究强烈依赖于进化模型。特别值得注意的是,不同模型的使用会影响种内和种间遗传差异的重叠程度。我们观察到,对于 K2P 模型(通过去除所有序列中的空位站点计算),种间序列对的比值小于最大种内遗传差异的百分比为 43.2%,对于 K2P 模型(通过去除序列对中的空位站点计算),该比值为 22.7%,而对于我们的模型(不删除空位站点计算),该比值为 16.9%。此外,种间遗传差异为零的序列对数量,K2P 模型为 50 对,我们的模型为 29 对。与我们的模型相比,基于 K2P 模型的遗传差异度量方法高估了 21 对原本不相同的序列对。这些结果表明,在包括替换在内的序列进化模型中估计遗传差异的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a87/6514111/1a0dce6d7946/239_2018_9885_Fig1_HTML.jpg

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