Discovery of stress responsive DNA regulatory motifs in Arabidopsis.
The discovery of DNA regulatory motifs in the sequenced genomes using computational methods remains challenging. Here, we present MotifIndexer--a comprehensive strategy for de novo identification of DNA regulatory motifs at a genome level. Using word-counting methods, we indexed the existence of every 8-mer oligo composed of bases A, C, G, T, r, y, s, w, m, k, n or 12-mer oligo composed of A, C, G, T, n, in the promoters of all predicted genes of Arabidopsis thaliana genome and of selected stress-induced co-expressed genes. From this analysis, we identified number of over-represented motifs. Among these, major critical motifs were identified using a position filter. We used a model based on uniform distribution and the z-scores derived from this model to describe position bias. Interestingly, many motifs showed position bias towards the transcription start site. We extended this model to show biased distribution of motifs in the genomes of both A. thaliana and rice. We also used MotifIndexer to identify conserved motifs in co-expressed gene groups from two Arabidopsis species, A. thaliana and A. lyrata. This new comparative genomics method does not depend on alignments of homologous gene promoter sequences.
Department of Plant Biology and the Genome Center, College of Biological Sciences, University of California Davis, Davis, California, United States of America. sma@ucdavis.edu
Shisong
S
Ma
Shawn
S
Bachan
Matthew
M
Porto
Hans J
HJ
Bohnert
Michael
M
Snyder
Savithramma P
SP
Dinesh-Kumar
D017360:Arabidopsis / Q000235:genetics*; D023281:Genomics / Q000379:methods; D008957:Models, Genetic; D059372:Nucleotide Motifs / Q000235:genetics*; D009843:Oligoribonucleotides / Q000235:genetics; D012275:Oryza / Q000235:genetics*; D011401:Promoter Regions, Genetic / Q000235:genetics; D050436:Regulatory Elements, Transcriptional / Q000235:genetics*; D013045:Species Specificity; D013312:Stress, Physiological / Q000235:genetics*
D009843:Oligoribonucleotides