Scapolatiello A, Boscari E, Schiavon L, Vitulo N, Congiu L
Department of Biology, University of Padova, Via Ugo Bassi 58B, 35121, Padua, Italy.
Department of Biotechnology, University of Verona, Strada le Grazie, 15, 37134, Verona, Italy.
BMC Res Notes. 2025 May 6;18(1):203. doi: 10.1186/s13104-025-07264-6.
In this Research Note, we introduce Intronomics-MIP, a snakemake-based pipeline for the automated analysis of multi-locus intron polymorphisms (MIPs) using intron-targeted amplicon sequencing. Building on established methodologies, our pipeline integrates tools such as Cutadapt, FLASH, and SeekDeep to efficiently process and analyze highly variable intron regions. These MIPs serve as powerful multiple-allelic markers, primarily useful for distinguishing species, identifying cryptic species, disentangling species complexes and detecting hybridization, but can also be informative for assessing population structure without prior species knowledge. Our pipeline enhances reproducibility and scalability, making it adaptable to a wide range of taxa, with a specific demonstration on teleost species. We provide a comprehensive overview of the pipeline's design, along with performance assessments using representative datasets.
在本研究报告中,我们介绍了Intronomics-MIP,这是一个基于Snakemake的流程,用于使用内含子靶向扩增子测序对多位点内含子多态性(MIP)进行自动化分析。基于已有的方法,我们的流程整合了如Cutadapt、FLASH和SeekDeep等工具,以高效处理和分析高度可变的内含子区域。这些MIP作为强大的多等位基因标记,主要用于区分物种、识别隐存种、解开物种复合体以及检测杂交,而且在无需先验物种知识的情况下,对于评估种群结构也具有参考价值。我们的流程提高了可重复性和可扩展性,使其适用于广泛的分类群,并以硬骨鱼物种为例进行了具体展示。我们全面概述了该流程的设计,并使用代表性数据集进行了性能评估。