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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
GC skew and mitochondrial origins of replication
Mitochondrion, Volume 17, Year 2014
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Description
The comprehensive understanding of mitochondrial genome evolution requires a detailed mechanistic picture of mitogenomic replication. Despite many previous efforts it has remained a non-trivial problem to determine the origins of replication and trace their fate across rearrangements of the gene order even in the small genomes of animal mitochondria. We elaborate here on the observation that the GC skew is correlated with the distance from the replication origins. This effect has been explained as a consequence of the standard model of mitochondrial DNA replication, i.e. the strand displacement model. According to this model chemical damage accumulates proportional to the duration that DNA is exposed in single-stranded form during replication ( Dssh) which depends on the relative position with respect to the replication origins. Based on this model we developed a computational method to infer the positions of both the heavy strand and the light strand origin from nucleotide skew data. In a comprehensive survey of deuterostome mitochondria we infer conserved replication origins for the vast majority of vertebrates and cephalochordates. Deviations from the consensus picture are presumably associated with genome rearrangements. © 2014 Elsevier B.V.
Authors & Co-Authors
Sahyoun, Abdullah H.
Germany, Leipzig
Universität Leipzig
Lebanon, Beirut
Université Libanaise
Bernt, Matthias
Germany, Leipzig
Universität Leipzig
Stadler, Peter F.
Germany, Leipzig
Universität Leipzig
Germany, Leipzig
Max Planck Institute for Mathematics in the Sciences
Germany, Leipzig
Fraunhofer Institute for Cell Therapy and Immunology Izi
Austria, Vienna
Universität Wien
Denmark, Copenhagen
Københavns Universitet
United States, Santa fe
Santa fe Institute
Tout, Kifah R.
Lebanon, Beirut
Université Libanaise
Statistics
Citations: 32
Authors: 4
Affiliations: 7
Identifiers
Doi:
10.1016/j.mito.2014.05.009
ISSN:
15677249
e-ISSN:
18728278
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Quantitative