Identification of a master transcription factor and a regulatory mechanism for desiccation tolerance in the anhydrobiotic cell line Pv11

PLoS One. 2020 Mar 19;15(3):e0230218. doi: 10.1371/journal.pone.0230218. eCollection 2020.

Abstract

Water is essential for living organisms. Terrestrial organisms are incessantly exposed to the stress of losing water, desiccation stress. Avoiding the mortality caused by desiccation stress, many organisms acquired molecular mechanisms to tolerate desiccation. Larvae of the African midge, Polypedilum vanderplanki, and its embryonic cell line Pv11 tolerate desiccation stress by entering an ametabolic state, anhydrobiosis, and return to active life after rehydration. The genes related to desiccation tolerance have been comprehensively analyzed, but transcriptional regulatory mechanisms to induce these genes after desiccation or rehydration remain unclear. Here, we comprehensively analyzed the gene regulatory network in Pv11 cells and compared it with that of Drosophila melanogaster, a desiccation sensitive species. We demonstrated that nuclear transcription factor Y subunit gamma-like, which is important for drought stress tolerance in plants, and its transcriptional regulation of downstream positive feedback loops have a pivotal role in regulating various anhydrobiosis-related genes. This study provides an initial insight into the systemic mechanism of desiccation tolerance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biological Phenomena / genetics
  • Cell Line
  • Chironomidae / genetics
  • Dehydration / genetics
  • Desiccation / methods
  • Drosophila melanogaster / genetics
  • Gene Expression Regulation / genetics
  • Insect Proteins / genetics*
  • Larva / genetics
  • Stress, Physiological / genetics
  • Transcription Factors / genetics*

Substances

  • Insect Proteins
  • Transcription Factors

Grants and funding

Takahiro Kikawada received JSPS KAKENHI (Grant Number: 22128001, https://kaken.nii.ac.jp/en/grant/KAKENHI-ORGANIZER-22128001/), the European Union Horizon 2020 Research and Innovation Program, MSCA-RISE “DRYNET” (Grant Number 734434, https://cordis.europa.eu/project/id/734434), and a pilot program of international collaborative research (Collaborative research based on a joint call with Russia) under "Commissioned projects for promotion of strategic international collaborative research" (https://www.affrc.maff.go.jp/kokusaikenkyu/attach/pdf/joint_call_for_international_research-28.pdf) for sequencing of RNA-seq datasets used in this study. Elena Shagimardanova received Russian Science Foundation Joint Research Groups Grant 17-44-07002(https://rscf.ru/en/contests/search-projects/17-44-07002/) for preparation of RNA-seq libraries used in this study. Oleg Gusev received JSPS KAKENHI (Grant Number: 18H02217, https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-18H02217/) for preparation of RNA-seq libraries used in this study. Takahiro Kikawada and Akira Funahashi received JSPS KAKENHI (Grant Number: 17H01511, https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-17H01511/) for computational resources for all computational analyses in this study, i.e., DEG analysis, network inference, etc. and preparation of the manuscript, i.e., English proofreading.