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Updated: May 12, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
Is RAD-seq suitable for phylogenetic inference? An in silico assessment and optimization
Marie Cariou1, Laurent Duret, Sylvain Charlat
1Université de Lyon, Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive 43 boulevard du 11 novembre 1918, Villeurbanne, F-69622, France.
Restriction site Associated DNA sequencing (RAD-seq) effectively reconstructs phylogenies, even for ancient divergences. This method proves robust against common data limitations, making it a powerful tool for evolutionary studies.
Area of Science:
- Evolutionary Biology
- Genomics
- Bioinformatics
Background:
- Phylogenetic inference is challenged by limited molecular variation, lack of markers, and conflicting signals from genomic regions.
- Restriction site Associated DNA sequencing (RAD-seq) offers a promising approach for generating genome-wide data without prior genomic knowledge.
Purpose of the Study:
- To evaluate the efficacy of RAD-seq for phylogenetic inference across varying divergence times.
- To assess the impact of data quality issues on RAD-seq-based phylogenies.
Main Methods:
- Simulated RAD-seq data from 12 Drosophila genomes with divergence times from 5 to 63 million years.
- Phylogenetic analyses incorporating BLASTN and SiLiX for RAD locus clustering.
Main Results:
- RAD-seq successfully recovered the known Drosophila phylogeny with robust statistical support, including ancient nodes.
- Phylogenetic accuracy remained high despite simulated sequencing errors, heterozygosity, and low coverage.
- BLASTN and SiLiX clustering enhanced orthologous RAD locus recovery, particularly for distantly related species.
Conclusions:
- RAD-seq is a powerful and reliable tool for phylogenetic inference, even for deep evolutionary timescales.
- Optimized data processing significantly improves RAD-seq utility for reconstructing evolutionary relationships.
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