Genome-wide de novo prediction of Cis-regulatory binding sites in Mycobacterium tuberculosis H37Rv

Abstract

The transcription regulatory system of Mycobacterium tuberculosis (M. tb) remains incompletely understood. In this study, we have applied the eGLECLUBS algorithm to a group of related prokaryotic genomes for de novo genome-wide prediction of cis-regulatory binding sites (CRBSs) inM. tb H37Rv. The top 250 clusters fromour prediction recovered 83.3% (50/60) of all known CRBSs in extracted inter-operonic sequences of this strain.We further demonstrated that the integration of our prediction results with the ChIP-Seq datasets is very effective in identifying true binding sites of TFs. Using electrophoretic mobility shift assays and real-time RT-PCR, we experimentally verified our prediction of CRBSs for Rv0081, an important transcription factor thought to be involved in regulation ofM. tb under hypoxia.