category
bioRxiv
date
Feb 25, 2026
slug
status
Published
summary
创新性提出高分子量DNA染色体分离技术,开发rDNAmine生物信息工具包,突破传统比对方法限制,实现长重复序列多态性高效分析,揭示酵母rDNA结构物种特异性差异。
tags
测序技术
type
Post

📄 原文题目

Yeast rDNA as a benchmark for rDNAmine repeat analysis pipeline

🔗 原文链接

💡 AI 核心解读

创新性提出高分子量DNA染色体分离技术,开发rDNAmine生物信息工具包,突破传统比对方法限制,实现长重复序列多态性高效分析,揭示酵母rDNA结构物种特异性差异。

📝 英文原版摘要

In this study, we introduce a novel approach for analysing long, repetitive genomic sequences. Our methods significantly advance research on rDNA polymorphism. First, we describe a technique for isolating high-molecular-weight DNA from individual chromosomes, enabling selective enrichment of sequencing libraries for extensive genomic regions of interest. Second, we present rDNAmine, a bioinformatic toolkit for capturing and examining large repetitive arrays in Oxford Nanopore sequencing data. This approach facilitates the study of polymorphisms within long repeats, bypassing traditional alignment-based methods and providing a more efficient and scalable solution for investigating repetitive regions. We demonstrate the effectiveness of our approach through the analysis of rDNA arrays in two yeast species, Saccharomyces cerevisiae and Candida albicans. In S. cerevisiae, rDNA arrays show limited polymorphism, while in C. albicans, we observe substantial variation in rDNA module size, with two distinct repeat populations within the array. These findings reveal species-specific differences in the structural organisation of rDNA loci, highlighting the diverse nature of tandem repeat architecture. The rDNAmine toolkit is broadly applicable to various organisms and repetitive genomic contexts, offering a versatile platform for studying repetitive sequences.
多基因座微卫星分型(MLMT)揭示意大利北部引起皮肤利什曼病的利什曼虫婴儿株的高遗传多样性STRATA:空间调控子场理论揭示人类皮肤耦合架构及其在黑色素瘤中的均质化
Loading...