Context dependent substitution biases vary within the human genome
Abstract
Background: Models of sequence evolution typically assume that different nucleotide positions evolve independently. This assumption is widely appreciated to be an over-simplification. The best known violations involve biases due to adjacent nucleotides. There have also been suggestions that biases exist at larger scales, however this possibility has not been systematically explored. Results: To address this we have developed a method which identifies over- and under-represented substitution patterns and assesses their overall impact on the evolution of genome composition. Our method is designed to account for biases at smaller pattern sizes, removing their effects. We used this method to investigate context bias in the human lineage after the divergence from chimpanzee. We examined bias effects in substitution patterns between 2 and 5 bp long and found significant effects at all sizes. This included some individual three and four base pair patterns with relatively large biases. We also found that bias effects vary across the genome, differing between transposons and non-transposons, between different classes of transposons, and also near and far from genes. Conclusions: We found that nucleotides beyond the immediately adjacent one are responsible for substantial context effects, and that these biases vary across the genome.
Additional Information
© 2010 Nevarez et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: 2 April 2010; Accepted: 15 September 2010; Published: 15 September 2010. We would like to thank Ran Libeskind-Hadas, Daniel Fielder, Lynn Bush and Steve Adolph for helpful discussions. Support for this work was provided by the NSF (MCB-0918335) and by and an institutional grant to Harvey Mudd College from the Howard Hughes Medical Institute. Authors' contributions: PAN carried out the analysis and wrote the manuscript. CMD, BAF and MAQ carried out the analysis. ECB designed the project, carried out the analysis, and wrote the manuscript. All authors read and approved the final paper.Attached Files
Published - Nevarez2010p11658BMC_Bioinformatics.pdf
Supplemental Material - 1471-2105-11-462-s1.pdf
Supplemental Material - 1471-2105-11-462-s2.pdf
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Supplemental Material - 1471-2105-11-462-s4.pdf
Supplemental Material - 1471-2105-11-462-s5.pdf
Supplemental Material - 1471-2105-11-462-s6.pdf
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Additional details
- Eprint ID
- 20598
- Resolver ID
- CaltechAUTHORS:20101029-095951501
- NSF
- MCB-0918335
- Howard Hughes Medical Institute
- Created
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2010-11-01Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field