Physiological and transcriptomic characterization of submergence and reoxygenation responses in soybean seedlings

Bishal G. Tamang, Joseph O. Magliozzi, M. A.Saghai Maroof, Takeshi Fukao

Research output: Contribution to journalArticlepeer-review

100 Scopus citations

Abstract

Complete inundation at the early seedling stage is a common environmental constraint for soybean production throughout the world. As floodwaters subside, submerged seedlings are subsequently exposed to reoxygenation stress in the natural progression of a flood event. Here, we characterized the fundamental acclimation responses to submergence and reoxygenation in soybean at the seedling establishment stage. Approximately 90% of seedlings succumbed during 3d of inundation under constant darkness, whereas 10d of submergence were lethal to over 90% of seedlings under 12h light/12h dark cycles, indicating the significance of underwater photosynthesis in seedling survival. Submergence rapidly decreased the abundance of carbohydrate reserves and ATP in aerial tissue of seedlings although chlorophyll breakdown was not observed. The carbohydrate and ATP contents were recovered upon de-submergence, but sudden exposure to oxygen also induced lipid peroxidation, confirming that reoxygenation induced oxidative stress. Whole transcriptome analysis recognized genome-scale reconfiguration of gene expression that regulates various signalling and metabolic pathways under submergence and reoxygenation. Comparative analysis of differentially regulated genes in shoots and roots of soybean and other plants defines conserved, organ-specific and species-specific adjustments which enhance adaptability to submergence and reoxygenation through different metabolic pathways.

Original languageEnglish (US)
Pages (from-to)2350-2365
Number of pages16
JournalPlant Cell and Environment
Volume37
Issue number10
DOIs
StatePublished - Oct 1 2014

Bibliographical note

Publisher Copyright:
© 2014 John Wiley & Sons Ltd.

Keywords

  • Affymetrix microarray
  • Flooding
  • Genome-scale gene expression analysis
  • Glycine max
  • Group VII Ethylene Responsive Factors

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