MicrosatNavigator:探索186个全基因组脊椎动物性染色体上微卫星重复基序的非随机分布和谱系特异性。

IF 2.4 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Chromosome Research Pub Date : 2023-09-30 DOI:10.1007/s10577-023-09738-4
Ryan Rasoarahona, Pish Wattanadilokchatkun, Thitipong Panthum, Kitipong Jaisamut, Artem Lisachov, Thanyapat Thong, Worapong Singchat, Syed Farhan Ahmad, Kyudong Han, Ekaphan Kraichak, Narongrit Muangmai, Akihiko Koga, Prateep Duengkae, Agostinho Antunes, Kornsorn Srikulnath
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引用次数: 0

摘要

微卫星是短串联DNA重复序列,在基因组中普遍存在。考虑到它们的高分布和丰度超出了偶然或随机积累,它们被认为处于选择压力之下。然而,对单个分类群中的微卫星的有限分析使得跨越分类边界理解其进化意义具有挑战性。尽管有丰富的基因组信息,但微卫星在有限的背景下和少数物种中进行了研究,这就保证了对其在不同和密切相关的分支中的全基因组分布进行公正的研究。大规模的比较揭示了相关的趋势,尤其是脊椎动物。在这里,“MicrosatNavigator”,一种新的工具,可以快速可靠地研究DNA序列中的完美微卫星,被开发出来。该工具可以识别整个基因组序列中的微卫星。利用该工具,在186种脊椎动物的基因组序列中鉴定了微卫星重复基序。微卫星和特定谱系的丰度、密度、长度和GC偏差之间存在显著的正相关。(AC)n基序在脊椎动物基因组中最为普遍,在亲缘关系密切的物种中表现出不同的模式。在鸟类和哺乳动物的性染色体上观察到较长的微卫星,但在常染色体上没有观察到。非鱼类脊椎动物性染色体上的微卫星GC含量最低,而高GC微卫星(≥ 50M%GC)在硬骨和软骨鱼类中是优选的。因此,相似的选择力和突变过程可能会将富含GC的微卫星限制在不同的分支中。这些发现应该有助于研究微卫星在性染色体分化中的作用,并为脊椎动物进化谱的功能分析提供候选微卫星。
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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MicrosatNavigator: exploring nonrandom distribution and lineage-specificity of microsatellite repeat motifs on vertebrate sex chromosomes across 186 whole genomes.

Microsatellites are short tandem DNA repeats, ubiquitous in genomes. They are believed to be under selection pressure, considering their high distribution and abundance beyond chance or random accumulation. However, limited analysis of microsatellites in single taxonomic groups makes it challenging to understand their evolutionary significance across taxonomic boundaries. Despite abundant genomic information, microsatellites have been studied in limited contexts and within a few species, warranting an unbiased examination of their genome-wide distribution in distinct versus closely related-clades. Large-scale comparisons have revealed relevant trends, especially in vertebrates. Here, "MicrosatNavigator", a new tool that allows quick and reliable investigation of perfect microsatellites in DNA sequences, was developed. This tool can identify microsatellites across the entire genome sequences. Using this tool, microsatellite repeat motifs were identified in the genome sequences of 186 vertebrates. A significant positive correlation was noted between the abundance, density, length, and GC bias of microsatellites and specific lineages. The (AC)n motif is the most prevalent in vertebrate genomes, showing distinct patterns in closely related species. Longer microsatellites were observed on sex chromosomes in birds and mammals but not on autosomes. Microsatellites on sex chromosomes of non-fish vertebrates have the lowest GC content, whereas high-GC microsatellites (≥ 50 M% GC) are preferred in bony and cartilaginous fishes. Thus, similar selective forces and mutational processes may constrain GC-rich microsatellites to different clades. These findings should facilitate investigations into the roles of microsatellites in sex chromosome differentiation and provide candidate microsatellites for functional analysis across the vertebrate evolutionary spectrum.

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来源期刊
Chromosome Research
Chromosome Research 生物-生化与分子生物学
CiteScore
4.70
自引率
3.80%
发文量
31
审稿时长
1 months
期刊介绍: Chromosome Research publishes manuscripts from work based on all organisms and encourages submissions in the following areas including, but not limited, to: · Chromosomes and their linkage to diseases; · Chromosome organization within the nucleus; · Chromatin biology (transcription, non-coding RNA, etc); · Chromosome structure, function and mechanics; · Chromosome and DNA repair; · Epigenetic chromosomal functions (centromeres, telomeres, replication, imprinting, dosage compensation, sex determination, chromosome remodeling); · Architectural/epigenomic organization of the genome; · Functional annotation of the genome; · Functional and comparative genomics in plants and animals; · Karyology studies that help resolve difficult taxonomic problems or that provide clues to fundamental mechanisms of genome and karyotype evolution in plants and animals; · Mitosis and Meiosis; · Cancer cytogenomics.
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