Network Modeling of Lateral Inheritance in Genome and Language Evolution

摘要: Recent advances in genomics and linguistics have generated vast data that provide a useful benchmark to study micro- macro- evolutionary processes. Several process such as recombination, hybridization, genome fusions lateral gene transfer/horizontal transfer (LGT or HGT) evolution are fundamentally non-treelike nature. Analogies for all major processes also recognized language evolution. Consequently, networks, addition bifurcating trees, become an essential tool modeling conflicting signals complexity genomic linguistic research. Studying using phylogenetic networks traces both vertical well component during their Because similar shaped into contemporary forms, it is possible use methods developed evolution. In the course of this thesis frequency impact transfers genomes (Haloarchaea) languages (Indo-European Polynesian) were investigated. Phylogenomic reconstructed nodes relationships edges. The ten halorarchaeal phylogenomic network approach with respect 1,143 eubacterial reference identified extensive inter domain LGT haloarchaeal results exemplify role transforming strictly anaerobic, chemolithoautotropic methanogen heterotrophic, oxygen-respiring bacteriorhodopsin-photosythetic organism. second third studies presented here, history 84 Indo-European 33 Polynesian examined. cases higher lexical borrowings than previously thought. Modeling opens up new insights provides more precise quantitative inferences about components