High Polymorphism Levels of De Novo ORFs in a Yoruba Human Population.

IF 3.2 2区 生物学 Q2 EVOLUTIONARY BIOLOGY
Covadonga Vara, José Carlos Montañés, M Mar Albà
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Abstract

During evolution, new open reading frames (ORFs) with the potential to give rise to novel proteins continuously emerge. A recent compilation of noncanonical ORFs with translation signatures in humans has identified thousands of cases with a putative de novo origin. However, it is not known which is their distribution in the population. Are they universally translated? Here, we use ribosome profiling data from 65 lymphoblastoid cell lines from individuals of Yoruba origin to investigate this question. We identify 2,587 de novo ORFs translated in at least one of the cell lines. In line with their de novo origin, the encoded proteins tend to be smaller than 100 amino acids and encode positively charged proteins. We observe that the de novo ORFs are more polymorphic in the population than the set of canonical proteins, with a substantial fraction of them being translated in only some of the cell lines. Remarkably, this difference remains significant after controlling for differences in the translation levels. These results suggest that variations in the level translation of de novo ORFs could be a relevant source of intraspecies phenotypic diversity in humans.

约鲁巴人类群体中新 ORF 的高多态性水平。
在进化过程中,有可能产生新型蛋白质的新 ORF 不断涌现。最近对人类中具有翻译特征的非经典 ORF 进行了汇编,发现了数千个推测为全新起源的 ORF。然而,它们在人群中的分布情况尚不清楚。它们是否被普遍翻译?在这里,我们利用来自约鲁巴血统的 65 个淋巴母细胞系的核糖体图谱数据来研究这个问题。我们发现至少有一种细胞系翻译了 2587 个全新 ORF。与它们的从头来源相一致,编码的蛋白质往往小于 100 个氨基酸,并编码带正电荷的蛋白质。我们观察到,与典型蛋白集相比,从头 ORF 在群体中的多态性更强,其中相当一部分只在部分细胞系中被翻译。值得注意的是,在控制了翻译水平的差异后,这种差异仍然显著。这些结果表明,全新 ORFs 翻译水平的变化可能是人类种内表型多样性的一个相关来源。
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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