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评估病毒在进化时间内的替代率稳定性。

Assessing constancy of substitution rates in viruses over evolutionary time.

机构信息

Department of Biochemistry & Molecular Biology, Oklahoma State University, Stillwater, OK 74078, USA.

出版信息

BMC Bioinformatics. 2010 Oct 7;11 Suppl 6(Suppl 6):S3. doi: 10.1186/1471-2105-11-S6-S3.

Abstract

BACKGROUND

Phylogenetic analyses reveal probable patterns of divergence of present day organisms from common ancestors. The points of divergence of lineages can be dated if a corresponding historical or fossil record exists. For many species, in particular viruses, such records are rare. Recently, Bayesian phylogenetic analysis using sequences from closely related organisms isolated at different times have been used to calibrate divergences. Phylogenetic analyses depend on the assumption that the average substitution rates that can be calculated from the data apply throughout the course of evolution.

RESULTS

The present study tests this crucial assumption by charting the kinds of substitutions observed between pairs of sequences with different levels of total substitutions. Datasets of aligned sequences, both viral and non-viral, were assembled. For each pair of sequences in an aligned set, the distribution of nucleotide interchanges and the total number of changes were calculated. Data were binned according to total numbers of changes and plotted. The accumulation of the six possible interchange types in retroelements as a function of distance followed closely the expected hyperbolic relationship. For other datasets, however, significant deviations from this relationship were noted. A rapid initial accumulation of transition interchanges was frequent among the datasets and anomalous changes occurred at specific divergence levels.

CONCLUSIONS

The accumulation profiles suggested that substantial changes in frequencies of types of substitutions occur over the course of evolution and that such changes should be considered in evaluating and dating viral phylogenies.

摘要

背景

系统发育分析揭示了现今生物与其共同祖先分歧的可能模式。如果存在相应的历史或化石记录,则可以对谱系的分歧点进行年代测定。对于许多物种,特别是病毒,这种记录很少。最近,使用不同时间分离的密切相关的生物体的序列进行贝叶斯系统发育分析已被用于校准分歧。系统发育分析取决于这样的假设,即可以从数据中计算出的平均替换率在整个进化过程中适用。

结果

本研究通过绘制具有不同总替换数的序列对之间观察到的替换类型图来检验这一关键假设。组装了对齐序列的病毒和非病毒数据集。对于对齐集中的每对序列,计算核苷酸交换的分布和总变化数。根据总变化数对数据进行分组并绘制。在逆转录元件中,六种可能的交换类型的积累作为距离的函数,几乎遵循预期的双曲线关系。然而,对于其他数据集,注意到了明显偏离这种关系的情况。在数据集之间,转换交换的快速初始积累很常见,并且在特定的分歧水平发生异常变化。

结论

积累曲线表明,在进化过程中,替换类型的频率会发生重大变化,在评估和确定病毒系统发育时应考虑这些变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac1c/3026377/53dd90375661/1471-2105-11-S6-S3-1.jpg

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