Evolutionary turnover of mammalian transcription start sites
Open Access
- 10 May 2006
- journal article
- research article
- Published by Cold Spring Harbor Laboratory in Genome Research
- Vol. 16 (6) , 713-722
- https://doi.org/10.1101/gr.5031006
Abstract
Alignments of homologous genomic sequences are widely used to identify functional genetic elements and study their evolution. Most studies tacitly equate homology of functional elements with sequence homology. This assumption is violated by the phenomenon of turnover, in which functionally equivalent elements reside at locations that are nonorthologous at the sequence level. Turnover has been demonstrated previously for transcriptionfactor-binding sites. Here, we show that transcription start sites of equivalent genes do not always reside at equivalent locations in the human and mouse genomes. We also identify two types of partial turnover, illustrating evolutionary pathways that could lead to complete turnover. These findings suggest that the signals encoding transcription start sites are highly flexible and evolvable, and have cautionary implications for the use of sequence-level conservation to detect gene regulatory elements.Keywords
This publication has 40 references indexed in Scilit:
- Selective Constraint on Noncoding Regions of Hominid GenomesPLoS Computational Biology, 2005
- Diversification of transcriptional modulation: Large-scale identification and characterization of putative alternative promoters of human genesGenome Research, 2005
- Functional Evolution of a cis-Regulatory ModulePLoS Biology, 2005
- Evidence for Widespread Degradation of Gene Control Regions in Hominid GenomesPLoS Biology, 2005
- CpG Islands in vertebrate genomesPublished by Elsevier ,2004
- RNA regulation: a new genetics?Nature Reviews Genetics, 2004
- Applied bioinformatics for the identification of regulatory elementsNature Reviews Genetics, 2004
- Transcription regulation and animal diversityNature, 2003
- The UCSC Genome Browser DatabaseNucleic Acids Research, 2003
- Initial sequencing and comparative analysis of the mouse genomeNature, 2002