Modeling Length Changes in De Novo Open Reading Frames during Neutral Evolution.

IF 3.2 2区 生物学 Q2 EVOLUTIONARY BIOLOGY
Marie Kristin Lebherz, Bharat Ravi Iyengar, Erich Bornberg-Bauer
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Abstract

For protein coding genes to emerge de novo from a non-genic DNA, the DNA sequence must gain an open reading frame (ORF) and the ability to be transcribed. The newborn de novo gene can further evolve to accumulate changes in its sequence. Consequently, it can also elongate or shrink with time. Existing literature shows that older de novo genes have longer ORF, but it is not clear if they elongated with time or remained of the same length since their inception. To address this question we developed a mathematical model of ORF elongation as a Markov-jump process, and show that ORFs tend to keep their length in short evolutionary timescales. We also show that if change occurs it is likely to be a truncation. Our genomics and transcriptomics data analyses of seven Drosophila melanogaster populations are also in agreement with the model's prediction. We conclude that selection could facilitate ORF length extension that may explain why longer ORFs were observed in old de novo genes in studies analysing longer evolutionary time scales. Alternatively, shorter ORFs may be purged because they may be less likely to yield functional proteins.

模拟中性进化过程中新生 ORF 的长度变化。
蛋白质编码基因要从非基因 DNA 中新生,DNA 序列必须获得开放阅读框(ORF)和转录能力。新生的新生基因可进一步进化,使其序列发生累积变化。因此,它也会随着时间的推移而伸长或缩小。现有文献显示,较老的新生基因具有较长的 ORF,但并不清楚它们是随着时间的推移而变长,还是从一开始就保持相同的长度。为了解决这个问题,我们建立了一个马尔可夫跳跃过程的 ORF 拉长数学模型,并证明 ORF 在短进化时间尺度内往往保持其长度。我们还证明,如果发生变化,很可能是截断。我们对七个黑腹果蝇种群进行的基因组学和转录组学数据分析也与模型的预测一致。我们的结论是,选择可能会促进ORF长度的延长,这也许可以解释为什么在分析较长进化时间尺度的研究中,会在旧的新生基因中观察到较长的ORF。另外,较短的 ORF 可能会被清除,因为它们不太可能产生功能性蛋白质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genome Biology and Evolution
Genome Biology and Evolution EVOLUTIONARY BIOLOGY-GENETICS & HEREDITY
CiteScore
5.80
自引率
6.10%
发文量
169
审稿时长
1 months
期刊介绍: About the journal Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.
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