This track shows a measure of evolutionary conservation in 17 vertebrates, including mammalian, amphibian, bird, and fish species, based on a phylogenetic hidden Markov model (phastCons). Multiz alignments of the following assemblies were used to generate this annotation:
In full display mode, this track shows the overall conservation score across all species as well as pairwise alignments of each species aligned to the $organism genome. The pairwise alignments are shown in dense display mode using a grayscale density gradient. Checkboxes in the track configuration section allow the exclusion of species from the pairwise display; however, this does not remove them from the conservation score display.
When zoomed-in to the base-display level, the track shows the base composition of each alignment. The numbers and symbols on the Gaps line indicate the lengths of gaps in the $organism sequence at those alignment positions relative to the longest non-$organism sequence. If there is sufficient space in the display, the size of the gap is shown; if not, and if the gap size is a multiple of 3, a "*" is displayed, otherwise "+" is shown. To view detailed information about the alignments at a specific position, zoom in the display to 30,000 or fewer bases, then click on the alignment.
This track may be configured in a variety of ways to highlight different aspects of the displayed information. Click the Graph configuration help link for an explanation of the configuration options.
Best-in-genome pairwise alignments were generated for each species using blastz, followed by chaining and netting. The pairwise alignments were then multiply aligned using multiz, beginning with $organism-rat and subsequently adding in the other species as diagrammed above. The resulting multiple alignments were then assigned conservation scores by phastCons.
The phastCons program computes conservation scores based on a phylo-HMM, a type of probabilistic model that describes both the process of DNA substitution at each site in a genome and the way this process changes from one site to the next (Felsenstein and Churchill 1996, Yang 1995, Siepel and Haussler 2005). PhastCons uses a two-state phylo-HMM, with a state for conserved regions and a state for non-conserved regions. The value plotted at each site is the posterior probability that the corresponding alignment column was "generated" by the conserved state of the phylo-HMM. These scores reflect the phylogeny (including branch lengths) of the species in question, a continuous-time Markov model of the nucleotide substitution process, and a tendency for conservation levels to be autocorrelated along the genome (i.e., to be similar at adjacent sites). The general reversible (REV) substitution model was used. Note that, unlike many conservation-scoring programs, phastCons does not rely on a sliding window of fixed size, so short highly-conserved regions and long moderately conserved regions can both obtain high scores. More information about phastCons can be found in Siepel et al. (2005).
PhastCons currently treats alignment gaps as missing data, which sometimes has the effect of producing undesirably high conservation scores in gappy regions of the alignment. We are looking at several possible ways of improving the handling of alignment gaps.
This track was created at UCSC using the following programs:
The phylogenetic tree is based on Murphy et al. (2001) and general consensus in the vertebrate phylogeny community.
Felsenstein J and Churchill GA (1996). A hidden Markov model approach to variation among sites in rate of evolution. Mol Biol Evol 13:93-104.
Siepel A and Haussler D (2005). Phylogenetic hidden Markov models. In R. Nielsen, ed., Statistical Methods in Molecular Evolution, pp. 325-351, Springer, New York.
Siepel, A., Bejerano, G., Pedersen, J.S., Hinrichs, A., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L.W., Richards, S., Weinstock, G.M., Wilson, R. K., Gibbs, R.A., Kent, W.J., Miller, W., and Haussler, D. Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res. 15, 1034-1050 (2005).
Yang Z (1995). A space-time process model for the evolution of DNA sequences. Genetics, 139:993-1005.
Kent, W.J., Baertsch, R., Hinrichs, A., Miller, W., and Haussler, D. Evolution's cauldron: Duplication, deletion, and rearrangement in the mouse and human genomes. Proc Natl Acad Sci USA 100(20), 11484-11489 (2003).
Blanchette, M., Kent, W.J., Riemer, C., Elnitski, .L, Smit, A.F.A., Roskin, K.M., Baertsch, R., Rosenbloom, K., Clawson, H., Green, E.D., Haussler, D., Miller, W. Aligning Multiple Genomic Sequences with the Threaded Blockset Aligner. Genome Res. 14(4), 708-15 (2004).
Chiaromonte, F., Yap, V.B., and Miller, W. Scoring pairwise genomic sequence alignments. Pac Symp Biocomput 2002, 115-26 (2002).
Schwartz, S., Kent, W.J., Smit, A., Zhang, Z., Baertsch, R., Hardison, R., Haussler, D., and Miller, W. Human-Mouse Alignments with BLASTZ. Genome Res. 13(1), 103-7 (2003).
Murphy, W.J., et al. Resolution of the early placental mammal radiation using Bayesian phylogenetics. Science 294(5550), 2348-51 (2001).