RGRPT

RGRPT identifies genome rearrangements across mammalian genomes using phylogenetic-tree-based analysis to characterize evolutionary events.


Key Features:

  • Phylogenetic approach: Leverages phylogenetic trees to trace and predict genome rearrangement events.
  • Sensitivity and specificity: Demonstrated superior sensitivity and specificity in predicting rearrangement events on simulated data compared to existing methods.
  • Resolution flexibility: Operates at multiple resolutions, exemplified at 10 kb and 50 kb scales.
  • Event detection and counts: At 10 kb resolution, identified 1,157 rearrangement events across six mammalian genomes (human, chimpanzee, rhesus macaque, mouse, rat, and dog): 858 reversals, 16 translocations, 249 transpositions, and 34 fusions/fissions, and at 50 kb resolution identified 475 events comprising 332 reversals, 13 translocations, 94 transpositions, and 36 fusions/fissions.
  • Rearrangement types: Predicts reversals, translocations, transpositions, and fusions/fissions.

Scientific Applications:

  • Evolutionary biology: Characterizes genome rearrangements to inform studies of mammalian evolutionary history and genomic architecture.
  • Phylogeny reconstruction: Supports construction and refinement of phylogenetic trees by mapping rearrangement events across species.
  • Divergence mechanism analysis: Enables analysis of the types and frequencies of rearrangements underlying species divergence.

Methodology:

RGRPT uses phylogenetic-tree-based analysis, performs multi-resolution analysis (notably at 10 kb and 50 kb), and was evaluated using simulated data across six mammalian genomes (human, chimpanzee, rhesus macaque, mouse, rat, dog).

Topics

Details

Added:
1/14/2020
Last Updated:
1/15/2021

Operations

Publications

Wang J, Cui B, Zhao Y, Guo M. A New Algorithm for Identifying Genome Rearrangements in the Mammalian Evolution. Frontiers in Genetics. 2019;10. doi:10.3389/fgene.2019.01020. PMID:31737036. PMCID:PMC6828935.

PMID: 31737036
PMCID: PMC6828935
Funding: - National Natural Science Foundation of China: 61661040, 61661039, 61571163, 61532014, 61671189, 91735306, 61751104 - National Key Research and Development Program of China: 2016YFC0901902