1 / 28

The Artemis Comparison Tool ACT

The Artemis Comparison Tool ACT. Comparative Genomics. It might be expected that if two organisms diverged from a common ancestor, they should share: - similar gene content - similar gene organization However, genome evolution is a highly dynamic process:

ellema
Télécharger la présentation

The Artemis Comparison Tool ACT

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Artemis Comparison Tool ACT

  2. Comparative Genomics • It might be expected that if two organisms diverged from a common ancestor, they should share: - similar gene content - similar gene organization • However, genome evolution is a highly dynamic process: - gene acquisition and gene loss will change genome content - gene rearrangements will change the order of genes. • Comparative genomics tell us about common and unique features between different organisms at the genome level. • Identification of similarities and differences between genomes may allow us to understand: - How two organisms evolved - Why certain organisms cause diseases while others do not

  3. Representing sequence similarity/identity MQALL… …RHP Region sharing similarity (BlastP) MAVV… …RHP

  4. ACT- Artemis Comparison Tool

  5. Orthologue of E. coli b0170 Orthologue of E. coli b0169 Orthologue of E. coli b0171

  6. Genome 1 Genome 2 Region of Synteny

  7. Genome 1 Genome 2 Rearrangements

  8. Genome 1 Genome 2 Insertion or deletion

  9. Whole genomes Chromosomal rearrangements Pathogenicity islands/prophages Gene acquisition and loss Gene rearrangements Pseudogenes Phase variation Single nucleotides

  10. Prokaryotic examples

  11. Whole genomes: S. typhi vs. E. coli SPI-10 SPI-2 SPI-1 SPI-9 SPI-7 Vi S. typhi DNA matches E. coli

  12. Multiple genomes B. pertussis IS elements B. bronchiseptica prophage B. parapertussis IS elements

  13. Whole genomes: S. aureus Mu50 vs. N315

  14. Mu50 N315 MRSA252 MSSA476 MW2 Multiple genomes

  15. Pathogenicity islands/prophages tRNA-Phe type IV pilus sopE Vi antigen S. typhi E. coli

  16. Gene acquisition and loss Insect toxin Y. pestis Y. enterocolitica

  17. Small rearrangements

  18. Pseudogenes S. typhi secreted effector protein (type-III) S. typhimurium

  19. ACTEukaryotic examples

  20. T. annulata BlastN & TBlastX T. parva Synteny:T.annulata and T. parva (Chr2)

  21. Synteny: TA & TP ACT comparison

  22. T. annulata & T. parva comparison (Chr 3) • Synteny • Genus-specific expansion • Species-specific expansion • Species-specific genes

  23. P. falciparum vs P. knowlesi: break in synteny P. falciparum Chrl3 P. knowlesi

  24. Improving gene prediction with ACT P. falciparum chr13 P. knowlesi Comparison between orthologous genes in P. falciparum and P. knowlesi

  25. ACT comparison: 3 malaria species P. yoelii P. falciparum P. knowlesi

  26. “species-specific” genes at interruptuions in synteny Plasmodium falciparum Plasmodium knowlesi Plasmodium yoelii

  27. ACT comparison of qut gene cluster

  28. Generating ACT comparison files ACT supports three different comparison file formats: 1) BLAST version 2.2.2 output: The blastall command must be run with the -m 8 flag which generates one line of information per HSP. 2) MEGABLAST output: ACT can also read the output of MEGABLAST, which is part of the NCBI blast distribution. 3) MSPcrunch output: MSPcrunch is program for UNIX and GNU/Linux systems which can post-process BLAST version 1 output into an easier to read format. ACT can only read MSPcrunch output with the -d flag. Here is an example of an ACT readable comparison file generated by MSPcrunch -d. 1399 97.00 940 2539 sequence1.dna 1 1596 AF140550.seq 1033 93.00 9041 10501 sequence1.dna 9420 10880 AF140550.seq 828 95.00 6823 7890 sequence1.dna 7211 8276 AF140550.seq 773 94.00 2837 3841 sequence1.dna 2338 3342 AF140550.seq The columns have the following meanings (in order): score, percent identity, match start in the query sequence, match end in the query sequence, query sequence name, subject sequence start, subject sequence end, subject sequence name. The columns should be separated by single spaces.

More Related