Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Relaxation of Natural Selection in the Evolution of the Giant Lungfish Genomes

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Publication Information:
      Oxford University Press
    • Publication Date:
      2023
    • Collection:
      Griffith University: Griffith Research Online
    • Abstract:
      Nonadaptive hypotheses on the evolution of eukaryotic genome size predict an expansion when the process of purifying selection becomes weak. Accordingly, species with huge genomes, such as lungfish, are expected to show a genome-wide relaxation signature of selection compared with other organisms. However, few studies have empirically tested this prediction using genomic data in a comparative framework. Here, we show that 1) the newly assembled transcriptome of the Australian lungfish, Neoceratodus forsteri, is characterized by an excess of pervasive transcription, or transcriptional leakage, possibly due to suboptimal transcriptional control, and 2) a significant relaxation signature in coding genes in lungfish species compared with other vertebrates. Based on these observations, we propose that the largest known animal genomes evolved in a nearly neutral scenario where genome expansion is less efficiently constrained. ; Full Text
    • ISSN:
      0737-4038
    • Relation:
      Molecular Biology and Evolution; Fuselli, S; Greco, S; Biello, R; Palmitessa, S; Lago, M; Meneghetti, C; McDougall, C; Trucchi, E; Rota Stabelli, O; Biscotti, AM; Schmidt, DJ; Roberts, DT; Espinoza, T; Hughes, JM; Ometto, L; et al., Relaxation of Natural Selection in the Evolution of the Giant Lungfish Genomes, Molecular Biology and Evolution, 2023, 40 (9); http://hdl.handle.net/10072/426666
    • Accession Number:
      10.1093/molbev/msad193
    • Online Access:
      http://hdl.handle.net/10072/426666
      https://doi.org/10.1093/molbev/msad193
    • Rights:
      https://creativecommons.org/licenses/by/4.0/ ; © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ; open access
    • Accession Number:
      edsbas.BA8DB87