Skip to main content

In Silico AFLP: An Application to Assess What Is Needed to Resolve a Phylogeny

  • Conference paper
Advances in Bioinformatics

Abstract

We examined the effect of increasing the number of scored AFLP bands to reconstruct an accurate and well-supported AFLP-based phylogeny. In silico AFLP was performed using simulated DNA sequences evolving along a symmetric tree with ancient radiation. The comparison of the true tree to the estimated AFLP trees suggests that moderate numbers of AFLP bands are necessary to recover the correct topology with high bootstrap support values (i.e > 70%). However, branch length estimation is rather unreliable and does not improve substantially after a certain number of bands are sampled.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Meudt, H.M., Clark, A.C.: Almost forgotten or latest practice? AFLP applications, analyses and advances. Trends Plant. Sci. 12, 106–117 (2007)

    Article  Google Scholar 

  2. García-Pereira, M.J., Caballero, A., Quesada, H.: Evaluating the relationship between evolutionary divergence and phylogenetic accuracy in AFLP data sets. Mol. Biol. Evol. (in press, 2010)

    Google Scholar 

  3. Rambaut, A., Grassly, N.C.: Seq-Gen: an application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees. Comput. Appl. Biosci. 13, 235–238 (1997)

    Google Scholar 

  4. Swofford, D.L.: PAUP*: phylogenetic analysis using parsimony (*and other methods), version 4. Sinauer Associates, Sunderland, Massachusetts (1999)

    Google Scholar 

  5. Soria-Carrasco, V., Talavera, G., Igea, J., Castresana, J.: The K tree score: quantification of differences in the relative branch length and topology of phylogenetic trees. Bioinformatics 23, 2954–2956 (2007)

    Article  Google Scholar 

  6. Robinson, D.F., Foulds, L.R.: Comparison of phylogenetic trees. Math. Biosci. 53, 131–147 (1981)

    Article  MATH  MathSciNet  Google Scholar 

  7. Simmons, M.P., Webb, C.T.: Quantification of the success of phylogenetic inference in simulations. Cladistics 22, 249–255 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

García-Pereira, M.J., Caballero, A., Quesada, H. (2010). In Silico AFLP: An Application to Assess What Is Needed to Resolve a Phylogeny. In: Rocha, M.P., Riverola, F.F., Shatkay, H., Corchado, J.M. (eds) Advances in Bioinformatics. Advances in Intelligent and Soft Computing, vol 74. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13214-8_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13214-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13213-1

  • Online ISBN: 978-3-642-13214-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics