Abstract

BackgroundThe spatiotemporal regulation of gene expression largely depends on the presence and absence of cis-regulatory sites in the promoter. In the economically highly important grass family, our knowledge of transcription factor binding sites and transcriptional networks is still very limited. With the completion of the sorghum genome and the available rice genome sequence, comparative promoter analyses now allow genome-scale detection of conserved cis-elements.ResultsIn this study, we identified thousands of phylogenetic footprints conserved between orthologous rice and sorghum upstream regions that are supported by co-expression information derived from three different rice expression data sets. In a complementary approach, cis-motifs were discovered by their highly conserved co-occurrence in syntenic promoter pairs. Sequence conservation and matches to known plant motifs support our findings. Expression similarities of gene pairs positively correlate with the number of motifs that are shared by gene pairs and corroborate the importance of similar promoter architectures for concerted regulation. This strongly suggests that these motifs function in the regulation of transcript levels in rice and, presumably also in sorghum.ConclusionOur work provides the first large-scale collection of cis-elements for rice and sorghum and can serve as a paradigm for cis-element analysis through comparative genomics in grasses in general.

Highlights

  • The spatiotemporal regulation of gene expression largely depends on the presence and absence of cis-regulatory sites in the promoter

  • Tandem duplications of genes frequently occur in plant genomes and typically comprise approximately one fifth of all genes [25,26]

  • To avoid complications by tandem duplications, we selected only gene pairs from syntenic regions that were detected as bidirectional best Blastp hits

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Summary

Introduction

The spatiotemporal regulation of gene expression largely depends on the presence and absence of cis-regulatory sites in the promoter. Knowledge of the elementary functional units – transcription factor binding sites – is a prerequisite to understanding regulation of individual genes and their embedding into regulatory networks. Numerous approaches, both experimental and in silico, have been developed to uncover cis-regulatory elements [1,2]. The correlation matrix has been used as background distribution for genome-wide expression similarities. Additional file 2 shows the background distribution for the MPSS expression data.

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