Systemic suppression of the shoot metabolism upon rice root nematode infection

PLoS One. 2014 Sep 12;9(9):e106858. doi: 10.1371/journal.pone.0106858. eCollection 2014.

Abstract

Hirschmanniella oryzae is the most common plant-parasitic nematode in flooded rice cultivation systems. These migratory animals penetrate the plant roots and feed on the root cells, creating large cavities, extensive root necrosis and rotting. The objective of this study was to investigate the systemic response of the rice plant upon root infection by this nematode. RNA sequencing was applied on the above-ground parts of the rice plants at 3 and 7 days post inoculation. The data revealed significant modifications in the primary metabolism of the plant shoot, with a general suppression of for instance chlorophyll biosynthesis, the brassinosteroid pathway, and amino acid production. In the secondary metabolism, we detected a repression of the isoprenoid and shikimate pathways. These molecular changes can have dramatic consequences for the growth and yield of the rice plants, and could potentially change their susceptibility to above-ground pathogens and pests.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Base Sequence
  • Chlorophyll / metabolism
  • Chlorophyll A
  • Gene Expression Profiling
  • Gene Expression Regulation, Plant
  • Genes, Plant
  • Oryza / genetics
  • Oryza / parasitology*
  • Plant Diseases / genetics
  • Plant Diseases / parasitology*
  • Plant Roots / parasitology*
  • Plant Shoots / metabolism*
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism
  • Reproducibility of Results
  • Reverse Transcriptase Polymerase Chain Reaction
  • Transcriptome / genetics
  • Tylenchoidea / physiology*

Substances

  • RNA, Messenger
  • Chlorophyll
  • chlorophyll b
  • Chlorophyll A

Associated data

  • GEO/GSE57707

Grants and funding

TK is funded by a postdoctoral fellowship of the Fund for Scientific Research Flanders (http://www.fwo.be/). SD received an IWT doctoral grant SB101371 (http://www.iwt.be/). TDM is supported by the Ghent University Multidisciplinary Research Partnership “Bioinformatics: from nucleotides to networks”, BOF_01GA0805. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.