dorsal/arxiv
View SchemaA Solvable Sequence Evolution Model and Genomic Correlations
| Authors | Philipp W. Messer, Peter F. Arndt, Michael Lässig |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0501010 |
| URL | https://arxiv.org/abs/q-bio/0501010 |
| DOI | 10.1103/PhysRevLett.94.138103 |
| Journal | Physical Review Letters 94, 138103 (2005) |
Abstract
We study a minimal model for genome evolution whose elementary processes are single site mutation, duplication and deletion of sequence regions and insertion of random segments. These processes are found to generate long-range correlations in the composition of letters as long as the sequence length is growing, i.e., the combined rates of duplications and insertions are higher than the deletion rate. For constant sequence length, on the other hand, all initial correlations decay exponentially. These results are obtained analytically and by simulations. They are compared with the long-range correlations observed in genomic DNA, and the implications for genome evolution are discussed.
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"abstract": "We study a minimal model for genome evolution whose elementary processes are\nsingle site mutation, duplication and deletion of sequence regions and\ninsertion of random segments. These processes are found to generate long-range\ncorrelations in the composition of letters as long as the sequence length is\ngrowing, i.e., the combined rates of duplications and insertions are higher\nthan the deletion rate. For constant sequence length, on the other hand, all\ninitial correlations decay exponentially. These results are obtained\nanalytically and by simulations. They are compared with the long-range\ncorrelations observed in genomic DNA, and the implications for genome evolution\nare discussed.",
"arxiv_id": "q-bio/0501010",
"authors": [
"Philipp W. Messer",
"Peter F. Arndt",
"Michael L\u00e4ssig"
],
"categories": [
"q-bio.GN",
"cond-mat.stat-mech"
],
"doi": "10.1103/PhysRevLett.94.138103",
"journal_ref": "Physical Review Letters 94, 138103 (2005)",
"title": "A Solvable Sequence Evolution Model and Genomic Correlations",
"url": "https://arxiv.org/abs/q-bio/0501010"
},
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