henhaobio
Sign in

Molecular Ecology ResourcesBioinformaticsPeer-reviewed journal article

RepeatProfiler: a pipeline for visualization and comparative analysis of repetitive DNA profiles

Sherif Negm, Anya GreenbergiD, Amanda M. LarracuenteiD, John S. SprouliD

PDFDOIPreprint

Abstract

Study of DNA repeats in model organisms highlights the role of repetitive DNA in many processes that drive genome evolution and phenotypic change. Because repetitive DNA is much more dynamic than single-copy DNA, repetitive sequences can reveal signals of evolutionary history over short time scales that may not be evident in sequences from slower-evolving genomic regions. Many tools for studying repeats are directed toward organisms with existing genomic resources, including genome assemblies and repeat libraries. However, signals in repeat variation may prove especially valuable in disentangling evolutionary histories in diverse non-model groups, for which genomic resources are limited. Here we introduce RepeatProfiler, a tool for generating, visualizing, and comparing repetitive DNA profiles from low-coverage, short-read sequence data. RepeatProfiler automates the generation and visualization of repetitive DNA coverage depth profiles and allows for statistical comparison of profile shape across samples. In addition, RepeatProfiler facilitates comparison of profiles by extracting signal from sequence variants across profiles which can then be analyzed as molecular morphological characters using phylogenetic analysis. We validate RepeatProfiler with data sets from ground beetles (Bembidion), flies (Drosophila), and tomatoes (Solanum). We highlight the potential of repetitive DNA profiles as a high-resolution data source for studies in species delimitation, comparative genomics, and repeat biology.

Citations
45
FWCI
4.36
Field percentile
top 5%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.