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Published in:
2009 | OriginalPaper | Chapter
A First Insight into the In Silico Evaluation of the Accuracy of AFLP Markers for Phylogenetic Reconstruction
Authors : María Jesús García-Pereira, Humberto Quesada, Armando Caballero
Published in: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Publisher: Springer Berlin Heidelberg
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Using simulated data, we tested whether the AFLP technique can consistently be used to estimate accurate evolutionary trees. We generated DNA sequences with known phylogenies that were used to simulate the AFLP procedure.
In silico
AFLP fingerprints were used to estimate neighbor-joining AFLP-based trees. The comparison of the true tree to the AFLP trees obtained over a wide range of conditions indicates that AFLPs usually lead to the wrong phylogeny except when DNA sequences are closely related, typically below the taxonomic rank of species.