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Genome Rearrangements João Meidanis São Paulo, Brazil December, 2004

Genome Rearrangements João Meidanis São Paulo, Brazil December, 2004. AGENDA. Summary Genome comparison Rearrangement events Example: mouse vs. human (X-chromosome) Rearrangement distance Known results Current research lines. SUMMARY.

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Genome Rearrangements João Meidanis São Paulo, Brazil December, 2004

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  1. Genome Rearrangements João Meidanis São Paulo, Brazil December, 2004

  2. AGENDA • Summary • Genome comparison • Rearrangement events • Example: mouse vs. human (X-chromosome) • Rearrangement distance • Known results • Current research lines

  3. SUMMARY • One of the big challenges of contemporary Biology is to measure evolution • Besides point mutations, evolution is known to occur by means of movements of large chunks of DNA (genome rearrangements) • The advent of entire genomes brings a whole new facet to this issue • As a first estimate of the amount of evolution between two species, one can use the formula • number of events • unit of time • Our research focus on efficient ways of computing the number of rearrangement events between two or more genomes

  4. AGENDA • Summary • Genome comparison • Rearrangement events • Example: mouse vs. human (X-chromosome) • Rearrangement distance • Known results • Current research lines

  5. GENOME COMPARISONPoint mutations ...TATCGATAGACCACTG... ...TATC--TAGACGACTA...

  6. GENOME COMPARISONGenome rearragements D D E C C G F B B F G A H A H E Movement of large segments within the genome. Above, segment E – F – G flips over

  7. AGENDA • Summary • Genome comparison • Rearrangement events • Example: mouse vs. human (X-chromosome) • Rearrangement distance • Known results • Current research lines

  8. REARRANGEMENT EVENTS • Insertion / Deletion • Reversal • Transposition • Fission / Fusion • Block Interchange • Others: duplication, genome doubling

  9. INSERTION / DELETIONGene gain / loss between genomes A B A B C C J J D I I D H E H E G G F

  10. REVERSALA segment is reversed between genomes A B A B C C J J D F I I E H E H D G F G

  11. TRANSPOSITIONA segment moves to a new position (or: exchange of two adjacent segments) A B A B C E J J D F I I H E H G G F D C

  12. FISSION / FUSIONGenome breaks in two / Two genomes join A A B B C E J C D D I F H E G J G F I H

  13. BLOCK INTERCHANGEExchange of two nonadjacent segments A B A B C G J J D H I I H E D E G F C F

  14. AGENDA • Summary • Genome comparison • Rearrangement events • Example: mouse vs. human (X-chromosome) • Rearrangement distance • Known results • Current research lines

  15. Figure 2. X-chromosome: from local similarities, to synteny blocks, to breakpoint graph, to rearrangement scenario EXAMPLE: HUMAN AND MOUSE X-CHROMOSOMEPavel Pevzner et al. Genome Res. 2003; 13: 37-45 Thanks to:

  16. AGENDA • Summary • Genome comparison • Rearrangement events • Example: mouse vs. human (X-chromosome) • Rearrangement distance • Known results • Current research lines

  17. REARRANGEMENT DISTANCEMaximum parsimony approach • Given two genomes, and a set of events, the rearrangement distance between the genomes is the length of the shortest series of events that transforms one genome into the other. • In the previous example: • Genome 1: mouse X-chromosome • Genome 2: human X-chromosome • Set of events: reversals only • Distance: 7 events

  18. AGENDA • Summary • Genome comparison • Rearrangement events • Example: mouse vs. human (X-chromosome) • Rearrangement distance • Known results • Current research lines

  19. KNOWN RESULTS • Insertion / Deletion distance: efficient algorithm known • Reversal distance : efficient algorithm known • Transposition distance: no efficient algorithm known; approximative algorithms • Fission / Fusion distance : efficient algorithm known • Block Interchange distance : efficient algorithm known

  20. AGENDA • Summary • Genome comparison • Rearrangement events • Example: mouse vs. human (X-chromosome) • Rearrangement distance • Known results • Current research lines

  21. CURRENT RESEARCH LINES • Solve transposition distance problem • Comparions of three or more genomes • Sets with more than one operation, e.g., reversal and transposition distance

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