Transcriptomic resources for evolutionary studies in flat periwinkles and related species

Research output: Contribution to journalArticle

Abstract

The flat periwinkles, Littorina fabalis and L. obtusata, comprise two sister gastropod species that have an enormous potential to elucidate the mechanisms involved in ecological speciation in the marine realm. However, the molecular resources currently available for these species are still scarce. In order to circumvent this limitation, we used RNA-seq data to characterize the transcriptome of four individuals from each species sampled in different locations across the Iberian Peninsula. Four de novo transcriptome assemblies were generated, as well as a pseudo-reference using the L. saxatilis reference transcriptome as backbone. After transcripts’ annotation, variant calling resulted in the identification of 19,072 to 45,340 putatively species-diagnostic SNPs. The discriminatory power of a subset of these SNPs was validated by implementing an independent genotyping assay to characterize reference populations, resulting in an accurate classification of individuals into each species and in the identification of hybrids between the two. These data comprise valuable genomic resources for a wide range of evolutionary and conservation studies in flat periwinkles and related taxa.

Details

Authors
  • João P. Marques
  • Graciela Sotelo
  • Juan Galindo
  • Pragya Chaube
  • Diana Costa
  • Sandra Afonso
  • Marina Panova
  • Katja Nowick
  • Roger Butlin
  • Johan Hollander
  • Rui Faria
Organisations
External organisations
  • University of Montpellier
  • University of Vigo
  • University of Sheffield
  • University of Gothenburg
  • Free University of Berlin
  • World Maritime University
  • University of Porto
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Biological Systematics
Original languageEnglish
Article number73
JournalScientific Data
Volume7
Issue number1
Publication statusPublished - 2020
Publication categoryResearch
Peer-reviewedYes