Details zur Publikation
|DOI / URL||Link|
|Creative Commons Lizenz|
|Titel (primär)||EqualTDRL: illustrating equivalent tandem duplication random loss rearrangements|
|Autor||Hartmann, T.; Bernt, M.; Middendorf, M.;|
|Journal / Serie||BMC Bioinformatics|
|POF III (gesamt)||F11;|
|Keywords||Circular permutation; Gene order; Genome rearrangement; Mitochondria; Tandem duplication random loss|
|Abstract||Background: To study the differences between two unichromosomal circular
genomes, e.g, mitochondrial genomes, under the tandem duplication
random loss (TDRL) rearrangement it is important to consider the whole
set of potential TDRL rearrangement events that could have taken place.
The reason is that for two given circular gene orders there can exist
different TDRL rearrangements that transform one of the gene orders into
the other. Hence, a TDRL event cannot always be reconstructed only from
the knowledge of the circular gene order before a TDRL event and the
circular gene order after it.
Results: We present the program EqualTDRL that computes and illustrates the complete set of TDRLs for pairs of circular gene orders that differ by only one TDRL. EqualTDRL considers the circularity of the given genomes and certain restrictions on the TDRL rearrangements. Examples for the latter are sequences of genes that have to be conserved during a TDRL or pairs of genes that frame intergenic regions which might represent remnants of duplicated genes. Additionally, EqualTDRL allows to determine the set of TDRLs that are minimum with respect to the number of duplicated genes.
Conclusion: EqualTDRL supports scientists to study the complete set of TDRLs that possibly could have taken place in the evolution of mitochondrial genomes. EqualTDRL is implemented in C++ using the ggplot2 package of the open source programming language R and is freely available from http//pacosy.informatik.uni-leipzig.de/equaltdrl.
|Hartmann, T., Bernt, M., Middendorf, M. (2018):
EqualTDRL: illustrating equivalent tandem duplication random loss rearrangements
BMC Bioinformatics 19 , art. 192