Comparative Transcriptomics Reveals Patterns of Adaptive Evolution Associated with Depth and Age Within Marine Rockfishes (Sebastes)

J Hered. 2019 May 7;110(3):340-350. doi: 10.1093/jhered/esy070.

Abstract

The genetic underpinnings that contribute to ecological adaptation and speciation are not completely understood, especially within marine ecosystems. These evolutionary processes can be elucidated by studying adaptive radiations, because they provide replicates of divergence within a given environment or time-frame. Marine rockfishes (genus Sebastes) are an adaptive radiation and unique model system for studying adaptive evolution in the marine realm. We investigated molecular evolution associated with ecological (depth) and life history (lifespan) divergence in 2 closely related clades of Sebastes. Brain transcriptomes were sequenced via RNA-Seq from 3 species within the subgenus Pteropodus and a pair of related congeners from the subgenus Sebastosomus in order to identify patterns of adaptive evolution. De novo assemblies from these transcriptomes were used to identify 3867 orthologous clusters, and genes subject to positive selection were identified based on all 5 species, depth, and lifespan. Within all our analyses, we identified hemoglobin subunit α to be under strong positive selection and is associated with the depth of occurrence. In our lifespan analysis we identified immune function genes under positive selection in association with maximum lifespan. This study provides insight on the molecular evolution of rockfishes and these candidate genes may provide a better understanding of how these subgenera radiated within the Northeast Pacific.

Keywords: RNA-Seq; brain; depth; hemoglobin; longevity; positive selection.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Computational Biology / methods
  • Evolution, Molecular*
  • Fishes / classification
  • Fishes / genetics*
  • Gene Expression Profiling*
  • High-Throughput Nucleotide Sequencing
  • Molecular Sequence Annotation
  • Phylogeny
  • Repetitive Sequences, Nucleic Acid
  • Selection, Genetic
  • Transcriptome*