1
play

1 AGENDA 1. Summary 2. Genome comparison 3. Rearrangement - PowerPoint PPT Presentation

Genome Rearrangements Joao Meidanis Campinas, Brazil 2015 1 AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research


  1. Genome Rearrangements Joao Meidanis Campinas, Brazil 2015 1

  2. AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research lines 2

  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 3

  4. AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research lines 4

  5. GENOME COMPARISON Point mutations ...TATCGATAGACCACTG... ...TATC--TAGACGACTA... 5

  6. GENOME COMPARISON Genome 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 6

  7. AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research lines 7

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

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

  10. REVERSAL A 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 10

  11. TRANSPOSITION A 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 11

  12. FISSION / FUSION Genome 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 12

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

  14. AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research lines 14

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

  16. AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research lines 16

  17. REARRANGEMENT DISTANCE Maximum 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 17

  18. AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research lines 18

  19. KNOWN RESULTS • Insertion / Deletion distance : efficient algorithm known • Reversal distance : efficient algorithm known • Transposition distance : NP-hard; approximative algorithms • Fission / Fusion distance : efficient algorithm known • Block Interchange distance : efficient algorithm known 19

  20. AGENDA 1. Summary 2. Genome comparison 3. Rearrangement events 4. Example: mouse vs. human (X-chromosome) 5. Rearrangement distance 6. Known results 7. Current research lines 20

  21. CURRENT RESEARCH LINES • Comparions of three or more genomes • More realistic models with several operations, or basic operations that can form several others, e.g., DCJ or SCJ 21

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend