Wolbachia are maternally inherited intracellular endosymbionts bacteria, commonly found in the reproductive tissues of arthropods and nematodes. Because of its ability to manipulate host's reproduction and influence the transmissibility of host’s pathogens, Wolbachia has substantial implications on the host species evolution and is a promising biological tool to control diseases and invasive pests. Various aspects of the biology of Wolbachia are still widely unexplored, particularly its biological interactions, spread and acquisition: this knowledge is an important prerequisite to properly characterize the evolution of this taxon. To further understand the biodiversity and the evolution of Wolbachia we compare the phylogenetic signals of two independent data sets: a gene-rich phylogenomic (GENOME) and a taxon-rich multilocus sequence typing (MLST) alignment. Our MLST data set provides a topology consistent with previous MLST phylogenies, but in conflict with the GENOME data set for the position of wZoo and wCte, infecting respectively termite and cat flea. These incongruences have been explored using various approaches to estimate intragenic recombination, evaluating strain misassignment and multiple Wolbachia infections on the same host species, and performing topology comparison tests. Results indicate that these discrepancies are due, at least partially, to undetected co-infections, resulting in different Wolbachia strains being sampled in the GENOME and the MLST dataset. Coalescent aware phylogenies further show among genes incongruences for wZoo in the GENOME data set: this is compatible with either horizontal transfer, undetected co-infections, or poor gene sampling for certain Wolbachia strains. Overall, our results suggest that discrepancies between MLST and GENOME dataset are not due to stochastic (poor signal in MLST), but are caused by systematic errors (signal misinterpretation) and the complex epidemiological pattern of Wolbachia which may have resulted in different strains being sampled in different specimens and/ or in chimeric genome assemblies.
Drago, F.; Rota-Stabelli, O. (2017). Multiple sources of incongruences in Wolbachia phylogeny. In: 7° Congresso della Società Italiana di Biologia Evoluzionistica, Roma, 28-31 agosto, 2017. Roma: Roma Tre University: 38. url: http://sibe2017.uniroma2.it/programme/abstract-book-sibe-2017/ handle: http://hdl.handle.net/10449/43937
Multiple sources of incongruences in Wolbachia phylogeny
Rota-Stabelli, O.
2017-01-01
Abstract
Wolbachia are maternally inherited intracellular endosymbionts bacteria, commonly found in the reproductive tissues of arthropods and nematodes. Because of its ability to manipulate host's reproduction and influence the transmissibility of host’s pathogens, Wolbachia has substantial implications on the host species evolution and is a promising biological tool to control diseases and invasive pests. Various aspects of the biology of Wolbachia are still widely unexplored, particularly its biological interactions, spread and acquisition: this knowledge is an important prerequisite to properly characterize the evolution of this taxon. To further understand the biodiversity and the evolution of Wolbachia we compare the phylogenetic signals of two independent data sets: a gene-rich phylogenomic (GENOME) and a taxon-rich multilocus sequence typing (MLST) alignment. Our MLST data set provides a topology consistent with previous MLST phylogenies, but in conflict with the GENOME data set for the position of wZoo and wCte, infecting respectively termite and cat flea. These incongruences have been explored using various approaches to estimate intragenic recombination, evaluating strain misassignment and multiple Wolbachia infections on the same host species, and performing topology comparison tests. Results indicate that these discrepancies are due, at least partially, to undetected co-infections, resulting in different Wolbachia strains being sampled in the GENOME and the MLST dataset. Coalescent aware phylogenies further show among genes incongruences for wZoo in the GENOME data set: this is compatible with either horizontal transfer, undetected co-infections, or poor gene sampling for certain Wolbachia strains. Overall, our results suggest that discrepancies between MLST and GENOME dataset are not due to stochastic (poor signal in MLST), but are caused by systematic errors (signal misinterpretation) and the complex epidemiological pattern of Wolbachia which may have resulted in different strains being sampled in different specimens and/ or in chimeric genome assemblies.File | Dimensione | Formato | |
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