Identification and genome-wide prediction of DNA binding specificities for the ApiAP2 family of regulators from the malaria parasite.

TitleIdentification and genome-wide prediction of DNA binding specificities for the ApiAP2 family of regulators from the malaria parasite.
Publication TypeJournal Article
Year of Publication2010
AuthorsCampbell TL, De Silva EK, Olszewski KL, Elemento O, LlinĂ¡s M
JournalPLoS Pathog
Volume6
Issue10
Paginatione1001165
Date Published2010 Oct 28
ISSN1553-7374
KeywordsAnimals, Apicomplexa, Binding Sites, Chromosome Mapping, Computational Biology, Culicidae, DNA, DNA-Binding Proteins, Forecasting, Gene Expression Regulation, Humans, Malaria, Multigene Family, Plasmodium falciparum, Regulatory Elements, Transcriptional, Substrate Specificity, Transcription Factors
Abstract

The molecular mechanisms underlying transcriptional regulation in apicomplexan parasites remain poorly understood. Recently, the Apicomplexan AP2 (ApiAP2) family of DNA binding proteins was identified as a major class of transcriptional regulators that are found across all Apicomplexa. To gain insight into the regulatory role of these proteins in the malaria parasite, we have comprehensively surveyed the DNA-binding specificities of all 27 members of the ApiAP2 protein family from Plasmodium falciparum revealing unique binding preferences for the majority of these DNA binding proteins. In addition to high affinity primary motif interactions, we also observe interactions with secondary motifs. The ability of a number of ApiAP2 proteins to bind multiple, distinct motifs significantly increases the potential complexity of the transcriptional regulatory networks governed by the ApiAP2 family. Using these newly identified sequence motifs, we infer the trans-factors associated with previously reported plasmodial cis-elements and provide evidence that ApiAP2 proteins modulate key regulatory decisions at all stages of parasite development. Our results offer a detailed view of ApiAP2 DNA binding specificity and take the first step toward inferring comprehensive gene regulatory networks for P. falciparum.

DOI10.1371/journal.ppat.1001165
Alternate JournalPLoS Pathog.
PubMed ID21060817
PubMed Central IDPMC2965767
Grant ListP50 GM071508 / GM / NIGMS NIH HHS / United States
R01 AI076276 / AI / NIAID NIH HHS / United States