Efficient algorithms for lateral gene transfer problems
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Reconstructing reticulate evolution in species: theory and practice
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
Phylogenetic Networks: Modeling, Reconstructibility, and Accuracy
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
RIATA-HGT: a fast and accurate heuristic for reconstructing horizontal gene transfer
COCOON'05 Proceedings of the 11th annual international conference on Computing and Combinatorics
Integrating Sequence and Topology for Efficient and Accurate Detection of Horizontal Gene Transfer
RECOMB-CG '08 Proceedings of the international workshop on Comparative Genomics
Protein structure-based method for identifying horizontal gene transfer
Proceedings of The Fourth International C* Conference on Computer Science and Software Engineering
| Hi-index | 0.00 |
Prokaryotic organisms share genetic material across species boundaries by means of a process known as horizontal gene transfer (HGT). Detecting this process bears great significance on understanding prokaryotic genome diversification and unraveling their complexities. Phylogeny-based detection of HGT is one of the most commonly used approaches for this task, and is based on the fundamental fact that HGT may cause gene trees to disagree with one another, as well as with the species phylogeny. Hence, methods that adopt this approach compare gene and species trees, and infer a set of HGT events to reconcile the differences among these trees. In this paper, we address some of the identifiability issues that face phylogeny-based detection of HGT. In particular, we show the effect of inaccuracies in the reconstructed (species and gene) trees on inferring the correct number of HGT events. Further, we show that a large number of maximally parsimonious HGT scenarios may exist. These results indicate that accurate detection of HGT requires accurate reconstruction of individual trees, and necessitates the search for more than a single scenario to explain gene tree disagreements. Finally, we show that disagreements among trees may be a result of not only HGT, but also lineage sorting, and make initial progress on incorporating HGT into the coalescent model, so as to stochastically distinguish between the two and make an accurate reconciliation. This contribution is very significant, particularly when analyzing closely related organisms.