Transcriptomic analysis of the rice white tip nematode, Aphelenchoides besseyi (Nematoda: Aphelenchoididae)

PLoS One. 2014 Mar 17;9(3):e91591. doi: 10.1371/journal.pone.0091591. eCollection 2014.

Abstract

Background: The rice white tip nematode Aphelenchoides besseyi, a devastating nematode whose genome has not been sequenced, is distributed widely throughout almost all the rice-growing regions of the world. The aims of the present study were to define the transcriptome of A. besseyi and to identify parasite-related, mortality-related or host resistance-overcoming genes in this nematode.

Methodology and principal findings: Using Solexa/Illumina sequencing, we profiled the transcriptome of mixed-stage populations of A. besseyi. A total of 51,270 transcripts without gaps were produced based on high-quality clean reads. Of all the A. besseyi transcripts, 9,132 KEGG Orthology assignments were annotated. Carbohydrate-active enzymes of glycoside hydrolases (GHs), glycosyltransferases (GTs), carbohydrate esterases (CEs) and carbohydrate-binding modules (CBMs) were identified. The presence of the A. besseyi GH45 cellulase gene was verified by in situ hybridization. Given that 13 unique A. besseyi potential effector genes were identified from 41 candidate effector homologs, further studies of these homologs are merited. Finally, comparative analyses were conducted between A. besseyi contigs and Caenorhabditis elegans genes to look for orthologs of RNAi phenotypes, neuropeptides and peptidases.

Conclusions and significance: The present results provide comprehensive insight into the genetic makeup of A. besseyi. Many of this species' genes are parasite related, nematode mortality-related or necessary to overcome host resistance. The generated transcriptome dataset of A. besseyi reported here lays the foundation for further studies of the molecular mechanisms related to parasitism and facilitates the development of new control strategies for this species.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acid Sequence
  • Animals
  • Cell Wall / metabolism
  • Cellulase / chemistry
  • Cellulase / genetics
  • Computational Biology
  • Databases, Nucleic Acid
  • Gene Expression Profiling*
  • Gene Regulatory Networks
  • Molecular Sequence Data
  • Nematoda / classification
  • Nematoda / genetics*
  • Nematoda / metabolism
  • Neuropeptides / genetics
  • Neuropeptides / metabolism
  • Oryza / parasitology*
  • Peptide Hydrolases / genetics
  • Peptide Hydrolases / metabolism
  • Phylogeny
  • RNA Interference
  • RNA, Messenger / genetics
  • Sequence Alignment
  • Transcriptome*

Substances

  • Neuropeptides
  • RNA, Messenger
  • Cellulase
  • Peptide Hydrolases

Grants and funding

This work was financed by the Research Fund for the Doctoral Program of Higher Education of China (project 20100062120002), the Heilongjiang Postdoctoral Fund (China; project LBH-Z11248) and the China State Scholarship Fund (2009660509). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.