Statistical evidence for ancestral correlation patterns.
Statistical correlations in DNA sequences are an important source of information for processes of genome evolution. As a special case of such correlations and building up on our previous work, here we study, how short-range correlations in Eukaryotic genomes change under elimination of various classes of repetitive DNA. Our main result is that a residual correlation pattern, common to most mammalian species, emerges under elimination of all repetitive DNA, suggesting features of an ancestral correlation signature. Furthermore, using this general framework, we find classes of repeats, which upon deletion move the correlation pattern towards this residual pattern (simple repeats and SINEs) or away from this residual pattern (LINEs). These findings suggest that the common correlation pattern visible in the mammalian species after repeat elimination can be associated with a common mammalian ancestor.
Kuhn
Andrea
A
Mathematics and Science Faculty, University of Applied Sciences, Darmstadt, Germany.
Dehnert
Manuel
M
Helm
Werner E
WE
Hütt
Marc-Thorsten
MT
D000818:Animals; D004247:DNA / Q000235:genetics*; D019143:Evolution, Molecular; D023281:Genomics; D006801:Humans; D020084:Long Interspersed Nucleotide Elements; D051379:Mice; D008957:Models, Genetic; D025341:Principal Component Analysis; D051381:Rats; D012091:Repetitive Sequences, Nucleic Acid; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data; D020086:Short Interspersed Nucleotide Elements; D013045:Species Specificity; D049490:Systems Biology
D004247:DNA