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Optimization Alignment:Down,Up,Error,and Improvements

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Techniques in Molecular Systematics and Evolution

Part of the book series: Methods and Tools in Biosciences and Medicine ((MTBM))

Abstract

Optimization Alignment (OA) is a method for taking unaligned sequences and creating parsimonious cladograms without the use of multiple alignment. The method consists of two parts. First, a “down-pass” that moves “down” the tree from the terminal taxa (tips) to the root or base of the cladogram and, second, an “up-pass” which moves back up from the base to the tips. The down-pass creates preliminary (i. e., provisional) hypothetical ancestral sequences at the cladogram nodes and generates the cladogram length as a weighted sum of the character transformations (nucleotide substitutions and insertion-deletion events) required by the observed (terminal) sequences. The up-pass takes the information from the down-pass and creates the “final” estimates of the hypothetical ancestral sequences. From these the most parsimonious synapomorphy scheme can be derived to how which character transformation events characterize the various lineages on the tree. The combination of these two procedures allows phylogenetic searches to take place on unaligned sequence data, resulting in improvements in execution time and quality of results. This process differs from multiple alignment procedures (such as that of Sankoff and Cedergren [1]) in that OA attempts to determine the most parsimonious cost of a homology schemes would seem to be strengths. The heuristic nature of the cladogram length and ancestral sequence reconstruction would seem to be weaknesses. These can be improved, however, as described above. Although the problem is unlikely to be solved exactly, improvements along the lines suggested here could well bring incremental benefits and, combined with ideas of others, generate more satisfactory methods and more reliable results.

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References

  1. Sankoff DD, Cedergren RJ (1983) Simul- 7 taneous comparison of three or more sequences related by a tree. In D Sank-off, JB Kruskal (eds): Time Warps, String Edits, and Macromolecules: the Theory 8 and Practise of Sequence Comparison. Addison-Wesley, Reading, MA, 253–264

    Google Scholar 

  2. Wheeler WC (1996) Optimization Align- 9 ment: the end of multiple sequence alignment in phylogenetics? Cladistics 12: 1–9

    Article  Google Scholar 

  3. Sankoff DD, Rousseau P (1975) Locating the vertices of a Steiner tree in arbitrary space. Math. Prog. 9: 240–246

    Article  Google Scholar 

  4. Wheeler WC (2000) Heuristic Reconstruction of Hypothetical-Ancestral DNA Sequences: Sequence Alignment 12 versus Direct Optimization. In: R Scotland, RT Pennington (eds) Homology and Systematics. Systematics Society, Lon-don, 217 106–113

    Google Scholar 

  5. Giribet G (2001) Exploring the behavoir of POY; a program for direct optimization of molecular data. Cladistics 17: 560–570

    Google Scholar 

  6. Farris JS (1970) Methods for computing 14 Wagner trees. Syst. Zool. 19: 83–92

    Google Scholar 

  7. Fitch WM (1971) Toward defining the course of evolution. Minimum change for a specific tree topology. Syst. Zool. 20: 406–416

    Google Scholar 

  8. Wheeler WC (1999) Fixed Character States and the Optimization of Molecular Sequence Data. Cladistics 15: 379–385

    Article  Google Scholar 

  9. Goloboff PA (1994) Character optimization and calculation of tree lengths. Cladistics 9: 433–436

    Article  Google Scholar 

  10. Goloboff PA (1998) Tree searches under Sankoff parsimony. Cladistics 14: 229237

    Article  Google Scholar 

  11. Wheeler WC, Gladstein DS (1994) MALIGN: A multiple sequence alignment program. J. Hered. 85: 417–418

    Google Scholar 

  12. Wheeler WC, Gladstein DS (1991–1998), Malign. Program and documentation. New York, NY. Documentation by Daniel Janies and Ward Wheeler

    Google Scholar 

  13. Gladstein DS, Wheeler WC (1997) “POY The Optimization of Alignment Characters. ”Program and Documentation. New York, NY. Available at “ftp.amnh.org”/pub/molecular

    Google Scholar 

  14. Needleman SB, Wunsch CD (1970) A general method applicable to the search Optimization Alignment: Down, Up, Error, and Improvements 69 for similarities in the amino acid sequence of two proteins. J. Mol. Biol. 48: 443–453

    Article  PubMed  CAS  Google Scholar 

  15. Kruskal JB and Sankoff D (1983) An anthology of algorithms and concepts for sequence comparison. In: D Sankoff and JB Kruskal (eds) Time Warps, String Edits, and Macromolecules: the Theory and Practise of Sequence Comparison. Addison-Wesley, Reading, MA, 265–310

    Google Scholar 

  16. Phillips A, Janies D and Wheeler WC (2000) Multiple sequence alignment in phylogenetic analysis. Mol. Phyl. Evol. in press

    Google Scholar 

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© 2002 Springer Basel AG

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Wheeler, W.C. (2002). Optimization Alignment:Down,Up,Error,and Improvements. In: DeSalle, R., Giribet, G., Wheeler, W. (eds) Techniques in Molecular Systematics and Evolution. Methods and Tools in Biosciences and Medicine. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8125-8_3

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  • DOI: https://doi.org/10.1007/978-3-0348-8125-8_3

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-7643-6257-7

  • Online ISBN: 978-3-0348-8125-8

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