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Gene discovery in Plasmodium vivax through sequencing of ESTs from mixed blood stages

  • Liwang Cui
  • , Qi Fan
  • , Yi Hu
  • , Svetlana A. Karamycheva
  • , John Quackenbush
  • , Benjawan Khuntirat
  • , Jetsumon Sattabongkot
  • , Jane M. Carlton
  • Pennsylvania State University
  • J. Craig Venter Institute
  • US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Despite the significance of Plasmodium vivax as the most widespread human malaria parasite and a major public health problem, gene expression in this parasite is poorly understood. To accelerate gene discovery and facilitate the annotation phase of the P. vivax genome project, we have undertaken a transcriptome approach to study gene expression in the mixed blood stages of a P. vivax field isolate. Using a cDNA library constructed from purified blood stages, we have obtained single-pass sequences for approximately 21,500 expressed sequence tags (ESTs), the largest number of transcript tags obtained so far for this species. Cluster analysis revealed that the library is highly redundant, resulting in 5407 clusters. Clustered ESTs were searched against public protein databases for functional annotation, and more than one-third showed a significant match, the majority of these to Plasmodium falciparum proteins. The most abundant clusters were to genes encoding ribosomal proteins and proteins involved in metabolism, consistent with the predominance of trophozoites in the field isolate sample. In spite of the scarcity of other parasite stages in the field isolate, we could identify genes that are expressed in rings, schizonts and gametocytes. This study should facilitate our understanding of the gene expression in P. vivax asexual stages and provide valuable data for gene prediction and annotation of the P. vivax genome sequence.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalMolecular and Biochemical Parasitology
Volume144
Issue number1
DOIs
Publication statusPublished - Nov 2005
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Blood stages
  • EST
  • Gene expression
  • Genomics
  • Malaria parasite
  • cDNA library

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