Genome-wide upstream motif analysis of Cryptosporidium parvum genes clustered by expression profile

Jenna Oberstaller1, Sandeep J Joseph, Jessica C Kissinger

  • 1Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.

BMC Genomics
|July 31, 2013
PubMed
Abstract

Insights

Researchers identified novel DNA motifs regulating gene expression in Cryptosporidium parvum, a significant step towards understanding this parasite. This work lays the foundation for a global gene regulatory map for Cryptosporidium parvum.

Area of Science:

  • Molecular genetics
  • Parasitology
  • Genomics

Background:

  • Limited molecular genetic tools hinder Cryptosporidium parvum research.
  • Challenges in cultivation and purification impede study of gene regulation.
  • Understanding gene regulation is crucial for this zoonotic parasite.

Purpose of the Study:

  • Identify DNA motifs involved in Cryptosporidium parvum gene regulation.
  • Develop a foundational gene regulatory map for the parasite.
  • Advance the study of apicomplexan parasite development.

Main Methods:

  • Clustered whole-genome gene expression profiles from seven time points.
  • Utilized MEME, AlignACE, and FIRE algorithms to find DNA motifs.
  • Determined transcription factor binding specificity using protein-binding microarrays.

Main Results:

  • Identified overrepresented DNA motifs including E2F, G-box, and an ApiAP2 binding motif.
  • A putative ApiAP2 transcription factor (cgd8_810) was shown to bind the G-box motif.
  • Established potential cis-regulatory elements for gene clusters.

Conclusions:

  • Discovered potential cis-regulatory elements in upstream gene sequences.
  • Initiated a global Cryptosporidium parvum gene regulatory map.
  • Provided insights into the development of this zoonotic parasite.

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