Characterization and predictive discovery of evolutionarily conserved mammalian alternative promoters.
Recent studies suggest that surprisingly many mammalian genes have alternative promoters (APs); however, their biological roles, and the characteristics that distinguish them from single promoters (SPs), remain poorly understood. We constructed a large data set of evolutionarily conserved promoters, and used it to identify sequence features, functional associations, and expression patterns that differ by promoter type. The four promoter categories CpG-rich APs, CpG-poor APs, CpG-rich SPs, and CpG-poor SPs each show characteristic strengths and patterns of sequence conservation, frequencies of putative transcription-related motifs, and tissue and developmental stage expression preferences. APs display substantially higher sequence conservation than SPs and CpG-poor promoters than CpG-rich promoters. Among CpG-poor promoters, APs and SPs show sharply contrasting developmental stage preferences and TATA box frequencies. We developed a discriminator to computationally predict promoter type, verified its accuracy through experimental tests that incorporate a novel method for deconvolving mixed sequence traces, and used it to find several new APs. The discriminator predicts that almost half of all mammalian genes have evolutionarily conserved APs. This high frequency of APs, together with the strong purifying selection maintaining them, implies a crucial role in expanding the expression diversity of the mammalian genome.
Baek
Daehyun
D
Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA. baek@u.washington.edu
Davis
Colleen
C
Ewing
Brent
B
Gordon
David
D
Green
Phil
P
D017398:Alternative Splicing; D000818:Animals; D001483:Base Sequence; D001665:Binding Sites / Q000235:genetics; D017124:Conserved Sequence; D018076:DNA, Complementary / Q000235:genetics / Q000378:metabolism; D019143:Evolution, Molecular; D006801:Humans; D008322:Mammals / Q000235:genetics*; D051379:Mice; D008957:Models, Genetic; D011401:Promoter Regions, Genetic; D012313:RNA / Q000235:genetics; D018709:Statistics, Nonparametric; D014157:Transcription Factors / Q000378:metabolism
D018076:DNA, Complementary; D014157:Transcription Factors; D012313:RNA