Developmental Transcriptomic Analysis of the Cave-Dwelling Crustacean, Asellus aquaticus

Joshua B. Gross, Dennis A. Sun, Brian M. Carlson, Sivan Brodo-Abo, Meredith E. Protas

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Cave animals are a fascinating group of species often demonstrating characteristics including reduced eyes and pigmentation, metabolic efficiency, and enhanced sensory systems. Asellus aquaticus, an isopod crustacean, is an emerging model for cave biology. Cave and surface forms of this species differ in many characteristics, including eye size, pigmentation, and antennal length. Existing resources for this species include a linkage map, mapped regions responsible for eye and pigmentation traits, sequenced adult transcriptomes, and comparative embryological descriptions of the surface and cave forms. Our ultimate goal is to identify genes and mutations responsible for the differences between the cave and surface forms. To advance this goal, we decided to use a transcriptomic approach. Because many of these changes first appear during embryonic development, we sequenced embryonic transcriptomes of cave, surface, and hybrid individuals at the stage when eyes and pigment become evident in the surface form. We generated a cave, a surface, a hybrid, and an integrated transcriptome to identify differentially expressed genes in the cave and surface forms. Additionally, we identified genes with allele-specific expression in hybrid individuals. These embryonic transcriptomes are an important resource to assist in our ultimate goal of determining the genetic underpinnings of the divergence between the cave and surface forms.

    Original languageAmerican English
    Article number42
    JournalDefault journal
    Volume11
    Issue number1
    StatePublished - Jan 2020

    Funding

    Funding: M.E.P. is supported by funding from the US National Institutes of Health (NEI R15 EY029499-01A1). Research reported in this publication was supported by the National Eye Institute of the National Institutes of Health under Award Number R15EY029499. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. D.A.S. is supported by an NSF GRFP Fellowship (Division of Graduate Education, Grant/Award Number: NSF GRFP 2016230010). J.B.G. is supported by funding from the US National Institute of Health (NIDCR R01-DE025033) and the US National Science Foundation (DEB-1457630). M.E.P. is supported by funding from the US National Institutes of Health (NEI R15 EY029499-01A1). Research reported in this publication was supported by the National Eye Institute of the National Institutes of Health under Award Number R15EY029499. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. D.A.S. is supported by an NSF GRFP Fellowship (Division of Graduate Education, Grant/Award Number: NSF GRFP 2016230010). J.B.G. is supported by funding from the US National Institute of Health (NIDCR R01-DE025033) and the US National Science Foundation (DEB-1457630).

    FundersFunder number
    D.A.S.
    Division of Graduate Education,
    M.E.P.
    National Eye Institute of the National Institutes of Health
    National Institute of Health
    US National Institute of HealthNIDCR R01-DE025033
    US National Science FoundationDEB-1457630
    National Institutes of Health
    Foundation for the National Institutes of Health
    National Eye InstituteR15EY029499
    National Institute of Dental and Craniofacial ResearchR01-DE025033
    Division of Graduate EducationNSF GRFP 2016230010

      ASJC Scopus Subject Areas

      • Genetics
      • Genetics(clinical)

      Keywords

      • regressive evolution
      • de novo transcriptome
      • differential expression
      • troglomorphy
      • cave
      • Cave
      • Regressive evolution
      • De novo transcriptome
      • Differential expression
      • Troglomorphy

      Disciplines

      • Ecology and Evolutionary Biology
      • Life Sciences

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