人类蛋白质相互作用的数量与结构相关,但与各自基因的调控保护无关。

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY Frontiers in Genetics Pub Date : 2024-10-29 eCollection Date: 2024-01-01 DOI:10.3389/fgene.2024.1472638
Rijalda Mekic, Marianna A Zolotovskaia, Maksim Sorokin, Tharaa Mohammad, Nina Shaban, Ivan Musatov, Victor Tkachev, Alexander Modestov, Alexander Simonov, Denis Kuzmin, Anton Buzdin
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引用次数: 0

摘要

简介非同义核苷酸替换与同义核苷酸替换的差异比(dN/dS)是衡量蛋白编码基因结构进化速度的常用指标。此外,我们最近提出,基因启动子中承载功能基因组位点的转座元件比例可作为基因调控进化速度的标志。这些功能基因组区域可能包括转录因子结合位点和修饰组蛋白结合位点。方法:在此,我们根据 600,136 个记录在案的分子相互作用构建了人类相互作用组模型,并研究了每个蛋白质的相互作用数量与相应基因的结构和调控进化速度之间的总体关系:通过评估总共 4,505 个人类基因和 1,936 条分子通路,我们发现结构和调控进化率指标之间存在普遍相关性(基因和通路水平的斯皮尔曼指数分别为 0.08-0.16 和 0.25-0.37, p < 0.01)。进一步研究发现,在已建立的人类相互作用组模型中,基因调控进化率与蛋白质相互作用的数量在基因水平上缺乏相关性,而在通路水平上存在微弱的负相关(∼0.15)。我们还发现,基因结构进化速度与蛋白质相互作用数量之间存在统计学意义上的显著负相关(在基因和通路水平上分别为斯皮尔曼-0.11和-0.3,P<0.01):讨论:我们的研究结果表明,蛋白产物具有多个相互作用伙伴的基因具有更强的结构保护而非调控保护。
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Number of human protein interactions correlates with structural, but not regulatory conservation of the respective genes.

Introduction: The differential ratio of nonsynonymous to synonymous nucleotide substitutions (dN/dS) is a common measure of the rate of structural evolution in proteincoding genes. In addition, we recently suggested that the proportion of transposable elements in gene promoters that host functional genomic sites serves as a marker of the rate of regulatory evolution of genes. Such functional genomic regions may include transcription factor binding sites and modified histone binding loci.

Methods: Here, we constructed a model of the human interactome based on 600,136 documented molecular interactions and investigated the overall relationship between the number of interactions of each protein and the rate of structural and regulatory evolution of the corresponding genes.

Results: By evaluating a total of 4,505 human genes and 1,936 molecular pathways we found a general correlation between structural and regulatory evolution rate metrics (Spearman 0.08-0.16 and 0.25-0.37 for gene and pathway levels, respectively, p < 0.01). Further exploration revealed in the established human interactome model lack of correlation between the rate of gene regulatory evolution and the number of protein interactions on gene level, and weak negative correlation (∼0.15) on pathway level. We also found a statistically significant negative correlation between the rate of gene structural evolution and the number of protein interactions (Spearman -0.11 and -0.3 for gene and pathway levels, respectively, p < 0.01).

Discussion: Our result suggests stronger structural rather than regulatory conservation of genes whose protein products have multiple interaction partners.

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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
期刊最新文献
Identification of m5C-Related gene diagnostic biomarkers for sepsis: a machine learning study. Number of human protein interactions correlates with structural, but not regulatory conservation of the respective genes. Comparison of blood parameters in two genetically different groups of horses for functional longevity in show jumping. Editorial: Non-coding RNAs and human diseases volume 2 -long non-coding RNAs and pathogenesis of human disease. Editorial: Epigenetic modification in neurological diseases.
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