Identification of common motifs in unaligned DNA sequences: Application to Escherichia coli Lrp regulon

Yishai M. Fraenkel, Yael Mandel, Devorah Friedberg, Hanah Margalit*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

We describe a relatively simple method for the identification of common motifs in DNA sequences that are known to share a common function. The input sequences are unaligned and there is no information regarding the position or orientation of the motif. Often such data exists for protein- binding regions, where genetic or molecular information that defines the binding region is available, but the specific recognition site within it is unknown. The method is based on the principle of 'divide and conquer'; we first search for dominant submotifs and then build full-length motifs around them. This method has several useful features: (i) it screens all submotifs so that the results are independent of the sequence order in the data; (ii) it allows the submotifs to contain spacers; (iii) it identifies an existing motif even if the data contains 'noise'. (iv) its running time depends linearly on the total length of the input. The method is demonstrated on two groups of protein-binding sequences: a well-studied group of known CRP-binding sequences, and a relatively newly identified group of genes known to be regulated by Lrp. The Lrp motif that we identify, based on 23 gene sequences, is similar to a previously identified motif based on a smaller data set, and to a consensus sequence of experimentally defined binding sites. Individual Lrp sites are evaluated and compared in regard to their regulation mode.

Original languageAmerican English
Pages (from-to)379-387
Number of pages9
JournalBioinformatics
Volume11
Issue number4
DOIs
StatePublished - Aug 1995

Fingerprint

Dive into the research topics of 'Identification of common motifs in unaligned DNA sequences: Application to Escherichia coli Lrp regulon'. Together they form a unique fingerprint.

Cite this