4.7 Article

Double-digest RAD sequencing using Ion Proton semiconductor platform (ddRADseq-ion) with nonmodel organisms

Journal

MOLECULAR ECOLOGY RESOURCES
Volume 15, Issue 6, Pages 1316-1329

Publisher

WILEY
DOI: 10.1111/1755-0998.12406

Keywords

double-digest; genotyping by sequencing; Ion Proton; Ion Torrent; RAD sequencing; semiconductor sequencing; single nucleotide polymorphism (SNP) genotyping

Funding

  1. Marie Curie CIG [32199]
  2. University of Glasgow
  3. John Robertson Bequest Fund of the University of Glasgow
  4. Glasgow Polyomics ISSF Pilot Grant

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Research in evolutionary biology involving nonmodel organisms is rapidly shifting from using traditional molecular markers such as mtDNA and microsatellites to higher throughput SNP genotyping methodologies to address questions in population genetics, phylogenetics and genetic mapping. Restriction site associated DNA sequencing (RAD sequencing or RADseq) has become an established method for SNP genotyping on Illumina sequencing platforms. Here, we developed a protocol and adapters for double-digest RAD sequencing for Ion Torrent (Life Technologies; Ion Proton, Ion PGM) semiconductor sequencing. We sequenced thirteen genomic libraries of three different nonmodel vertebrate species on Ion Proton with PI chips: Arctic charr Salvelinus alpinus, European whitefish Coregonus lavaretus and common lizard Zootoca vivipara. This resulted in similar to 962million single-end reads overall and a mean of similar to 74million reads per library. We filtered the genomic data using Stacks, a bioinformatic tool to process RAD sequencing data. On average, we obtained similar to 11000 polymorphic loci per library of 6-30 individuals. We validate our new method by technical and biological replication, by reconstructing phylogenetic relationships, and using a hybrid genetic cross to track genomic variants. Finally, we discuss the differences between using the different sequencing platforms in the context of RAD sequencing, assessing possible advantages and disadvantages. We show that our protocol can be used for Ion semiconductor sequencing platforms for the rapid and cost-effective generation of variable and reproducible genetic markers.

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