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七个端粒到端粒灵长类基因组中的串联重复序列分析。

Analysis of tandem repeats in seven telomere-to-telomere primate genomes.

作者信息

Sharma Anukrati, Sowpati Divya Tej

机构信息

CSIR Centre for Cellular and Molecular Biology, Hyderabad 500 007, India.

出版信息

J Genet. 2025;104.

Abstract

Tandem repeats (TRs) are highly polymorphic low complexity regions present in all the genomes. The length variation in TRs, particularly that of short TRs (STRs), is associated with several cellular functions such as gene expression and genome organization. In humans, an abnormal expansion of a few STR loci is linked to neurodegenerative diseases. Despite their importance, limitations and gaps in reference genomes prohibit the comprehensive analysis of TRs. Recent advances in high-throughput sequencing technologies have enabled the generation of gapless, telomere-to-telomere (T2T) genomes of humans and other ape species. Here, we report the TR landscape of seven primate T2T genomes, including humans. Our analysis indicates that TRs of 1-100 nucleotide (nt) motifs cover 3.5-6.9% of large primate genomes, with the highest density observed in gorilla (69 kb per Mbp). Large motif size TRs are prevalent and contribute abundantly to higher-order repeats. As an example, we describe a species-specific 32 nt A/T rich motif that contributes to subtelomeric repeats. Finally, we present the motif decomposition and substructure of pentameric repeats in Y chromosomes of six ape species. Our work illutrates the dynamics of TRs in large genomes, and showcases the utility of complete genomes for better understanding the role of low complexity sequences.

摘要

串联重复序列(TRs)是存在于所有基因组中的高度多态性低复杂度区域。TRs的长度变异,尤其是短串联重复序列(STRs)的长度变异,与基因表达和基因组组织等多种细胞功能相关。在人类中,一些STR位点的异常扩增与神经退行性疾病有关。尽管它们很重要,但参考基因组的局限性和缺口阻碍了对TRs的全面分析。高通量测序技术的最新进展使得能够生成人类和其他猿类物种的无间隙、端粒到端粒(T2T)基因组。在这里,我们报告了包括人类在内的七个灵长类T2T基因组的TR概况。我们的分析表明,1至100个核苷酸(nt)基序的TRs覆盖了大型灵长类基因组的3.5%至6.9%,在大猩猩中观察到的密度最高(每兆碱基69 kb)。大基序大小的TRs很普遍,并对高阶重复序列有大量贡献。例如,我们描述了一个物种特异性的富含32 nt A/T的基序,它有助于亚端粒重复序列。最后,我们展示了六种猿类物种Y染色体中五聚体重复序列的基序分解和亚结构。我们的工作阐明了大型基因组中TRs的动态变化,并展示了完整基因组在更好理解低复杂度序列作用方面的效用。

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