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Gene expression profiling of diapause termination in E and Z strains of the European corn borer moth, Ostrinia nubilalis

dataset
posted on 2024-06-11, 05:24 authored by Tufts University
Evolutionary change in diapause timing will be key for insects to adapt to a globally warming climate. However, the molecular mechanisms behind shifts in diapause timing are still unclear. The European corn borer moth (Ostrinia nubilalis) shows evolved differences in the length of larval diapause termination, where Z-strain individuals have a long termination time and E-strain individuals have a short termination time. Here, we use whole transcriptome profiling of larval head tissues through a developmental time-course of diapause termination to, i) identify putative loci responsible for initiating divergence in diapause timing, and ii) identify downstream molecular pathways that may direct moths to an earlier or later end of diapause. As diapause is induced under short-day conditions (12:12 light:dark) and broken under long-day conditions (16:8 light:dark), we sample both strains under short-day conditions during diapause maintenance, and on days 1 and 7 after exposure to long-day conditions during diapause termination, to illuminate the critical mechanisms for observed shifts to seasonal timing.

Funding

National Science Foundation, DEB-1257251

U.S. Department of Agriculture, 2010-65106-20610

National Science Foundation, 2011116050

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2015-09-07

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

transcriptome; gene expression

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA294976

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA294976 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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