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一个简单的随机模型,描述了无性繁殖生物中基因组 GC 含量的进化。

A simple stochastic model describing the evolution of genomic GC content in asexually reproducing organisms.

机构信息

Division of Infection Control, Department of Methods Development and Analysis, Norwegian Institute of Public Health, Oslo, Norway.

Centre for Fertility and Health, Norwegian Institute of Public Health, P.O. Box 4404, Lovisenberggata 8, 0403, Oslo, Norway.

出版信息

Sci Rep. 2022 Nov 3;12(1):18569. doi: 10.1038/s41598-022-21709-z.

Abstract

A genome's nucleotide composition can usually be summarized with (G)uanine + (C)ytosine (GC) or (A)denine + (T)hymine (AT) frequencies as GC% = 100% - AT%. Genomic AT/GC content has been linked to environment and selective processes in asexually reproducing organisms. A model is presented relating the evolution of genomic GC content over time to AT [Formula: see text] GC and GC [Formula: see text] AT mutation rates. By employing Itô calculus it is shown that if mutation rates are subject to random perturbations, that can vary over time, several implications follow. In particular, an extra Brownian motion term appears influencing genomic nucleotide variability; the greater the random perturbations the more genomic nucleotide variability. This can have several interpretations depending on the context. For instance, reducing the influence of the random perturbations on the AT/GC mutation rates and thus genomic nucleotide variability, to limit fitness decreasing and deleterious mutations, will likely suggest channeling of resources. On the other hand, increased genomic nucleotide diversity may be beneficial in variable environments. In asexually reproducing organisms, the Brownian motion term can be considered to be inversely reflective of the selective pressures an organism is subjected to at the molecular level. The presented model is a generalization of a previous model, limited to microbial symbionts, to all asexually reproducing, non-recombining organisms. Last, a connection between the presented model and the classical Luria-Delbrück mutation model is presented in an Itô calculus setting.

摘要

基因组的核苷酸组成通常可以用 (G)uanine + (C)ytosine (GC) 或 (A)denine + (T)hymine (AT) 的频率来概括,即 GC% = 100% - AT%。基因组的 AT/GC 含量与无性繁殖生物中的环境和选择过程有关。本文提出了一个模型,将基因组 GC 含量随时间的演化与 AT [公式:见正文] GC 和 GC [公式:见正文] AT 突变率联系起来。通过运用 Ito 微积分,我们证明了如果突变率受到随时间变化的随机扰动的影响,那么就会出现几个推论。具体来说,一个额外的布朗运动项会影响基因组核苷酸的变异;随机扰动越大,基因组核苷酸的变异就越多。这可以根据上下文有几种解释。例如,减少随机扰动对 AT/GC 突变率和因此基因组核苷酸变异的影响,以限制适应性降低和有害突变,可能意味着资源的引导。另一方面,增加基因组核苷酸多样性在多变的环境中可能是有益的。在无性繁殖生物中,布朗运动项可以被认为是生物体在分子水平上受到的选择压力的反演。所提出的模型是一个之前仅限于微生物共生体的模型的推广,适用于所有无性繁殖、不重组的生物体。最后,在 Ito 微积分的框架下,提出了所提出的模型与经典的 Luria-Delbrück 突变模型之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78ab/9633779/d24fecb036e8/41598_2022_21709_Fig1_HTML.jpg

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