Distribution and intensity of constraint in mammalian genomic sequence.

By Gregory M. Cooper, Eric A. Stone, G. Asimenos, Eric D. Green, Serafim Batzoglou, Arend Sidow. Genome Research, 2005

1,400 citations recorded by the source corpus.

Comparisons of orthologous genomic DNA sequences can be used to characterize regions that have been subject to purifying selection and are enriched for functional elements. We here present the results of such an analysis on an alignment of sequences from 29 mammalian species. The alignment captures approximately 3.9 neutral substitutions per site and spans approximately 1.9 Mbp of the human genome. We identify constrained elements from 3 bp to over 1 kbp in length, covering approximately 5.5% of the human locus. Our estimate for the total amount of nonexonic constraint experienced by this locus is roughly twice that for exonic constraint. Constrained elements tend to cluster, and we identify large constrained regions that correspond well with known functional elements. While constraint density inversely correlates with mobile element density, we also show the presence of unambiguously constrained elements overlapping mammalian ancestral repeats. In addition, we describe a number of elements in this region that have undergone intense purifying selection throughout mammalian evolution, and we show that these important elements are more numerous than previously thought. These results were obtained with Genomic Evolutionary Rate Profiling (GERP), a statistically rigorous and biologically transparent framework for constrained element identification. GERP identifies regions at high resolution that exhibit nucleotide substitution deficits, and measures these deficits as "rejected substitutions". Rejected substitutions reflect the intensity of past purifying selection and are used to rank and characterize constrained elements. We anticipate that GERP and the types of analyses it facilitates will provide further insights and improved annotation for the human genome as mammalian genome sequence data become richer.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/867252e5c2f0d51f4657b74e6aa805ffdd8ee489

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Citations in the corpus

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Ensembl 2011 (2010, methodology): “As for the placental mammalian genomes, we run Genomic Evolutionary Rate Profiling (GERP) (31) on the fish genome alignments to produce both per base conservation scores and constrained elements.”
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A User's Guide to the Encyclopedia of DNA Elements (ENCODE) (2011, methodology): “These alignments enable measurement of evolutionary constraint at single-nucleotide resolution using GERP [101], SCONE [102], PhyloP [103], and other algorithms.”
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