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Lateral Gene Transfer from the Dead

Authors: Szollosi; GJ; Tannier; E; Lartillot; N and Daubin; V;

Lateral Gene Transfer from the Dead

Abstract

In phylogenetic studies, the evolution of molecular sequences is assumed to have taken place along the phylogeny traced by the ancestors of extant species. In the presence of lateral gene transfer (LGT), however, this may not be the case, because the species lineage from which a gene was transferred may have gone extinct or not have been sampled. Because it is not feasible to specify or reconstruct the complete phylogeny of all species, we must describe the evolution of genes outside the represented phylogeny by modelling the speciation dynamics that gave rise to the complete phylogeny. We demonstrate that if the number of sampled species is small compared to the total number of existing species, the overwhelming majority of gene transfers involve speciation to, and evolution along extinct or unsampled lineages. We show that the evolution of genes along extinct or unsampled lineages can to good approximation be treated as those of independently evolving lineages described by a few global parameters. Using this result, we derive an algorithm to calculate the probability of a gene tree and recover the maximum likelihood reconciliation given the phylogeny of the sampled species. Examining 473 near universal gene families from 36 cyanobacteria, we find that nearly a third of transfer events -- 28% -- appear to have topological signatures of evolution along extinct species, but only approximately 6% of transfers trace their ancestry to before the common ancestor of the sampled cyanobacteria.

published in Systematic Biology http://sysbio.oxfordjournals.org/content/early/2013/01/25/sysbio.syt003.abstract.html

Keywords

DNA, Bacterial, Genomics (q-bio.GN), [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Gene Transfer, Horizontal, Models, Genetic, Genetic Speciation, Populations and Evolution (q-bio.PE), Biodiversity, Sequence Analysis, DNA, Cyanobacteria, Biological Evolution, Evolution, Molecular, Genes, Bacterial, FOS: Biological sciences, Quantitative Biology - Genomics, Quantitative Biology - Populations and Evolution, Algorithms, Phylogeny, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Regular Articles

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
100
Top 1%
Top 10%
Top 10%
Green
hybrid