RESUMEN

Wolbachia is an obligate intracellular α-proteobacterium, which commonly infects arthropods and filarial nematodes. Different strains of Wolbachia are capable of a wide range of regulatory manipulations in their diverse hosts, including the modulation of host cellular differentiation to influence host reproduction. The genetic basis for the majority of these phenotypes is unknown. The wWil strain from the neotropical fruit fly, Drosophila willistoni, exhibits a remarkably high affinity for host germline-derived cells relative to the somatic cells. This trait could be leveraged for understanding how Wolbachia influences the host germline and for controlling host populations in the field. To further the use of this strain in biological and biomedical research, we sequenced the genome of the wWil strain isolated from host cell culture cells. Here, we present the first high quality Nanopore assembly of wWil, the Wolbachia endosymbiont of D. willistoni. Our assembly resulted in a circular genome of 1.27 Mb with a BUSCO completeness score of 99.7%. Consistent with other insect-associated Wolbachia strains, comparative genomic analysis revealed that wWil has a highly mosaic genome relative to the closely related wMel and wAu strains from Drosophila melanogaster and Drosophila simulans, respectively.

Asunto(s)

Drosophila , Genoma Bacteriano , Simbiosis , Wolbachia , Wolbachia/genética , Animales , Drosophila/microbiología , Drosophila/genética , Simbiosis/genética , Filogenia , Secuenciación Completa del Genoma/métodos , Genómica/métodos

RESUMEN

Wolbachia is an obligate intracellular α-proteobacterium which commonly infects arthropods and filarial nematodes. Different strains of Wolbachia are capable of a wide range of regulatory manipulations in many hosts and modulate host cellular differentiation to influence host reproduction. The genetic basis for the majority of these phenotypes is unknown. The wWil strain from the neotropical fruit fly, Drosophila willistoni, exhibits a remarkably high affinity for host germline-derived cells relative to the soma. This trait could be leveraged for understanding how Wolbachia influences the host germline and for controlling host populations in the field. To further the use of this strain in biological and biomedical research, we sequenced the genome of the wWil strain isolated from host cell culture cells. Here, we present the first high quality nanopore assembly of wWil, the Wolbachia endosymbiont of D. willistoni. Our assembly resulted in a circular genome of 1.27 Mb with a BUSCO completeness score of 99.7%. Consistent with other insect-associated Wolbachia strains, comparative genomic analysis revealed that wWil has a highly mosaic genome relative to the closely related wMel strain from Drosophila melanogaster.

RESUMEN

In genetic conflicts between intergenomic and selfish elements, driver and killer elements achieve biased survival, replication, or transmission over sensitive and targeted elements through a wide range of molecular mechanisms, including mimicry. Driving mechanisms manifest at all organismal levels, from the biased propagation of individual genes, as demonstrated by transposable elements, to the biased transmission of genomes, as illustrated by viruses, to the biased transmission of cell lineages, as in cancer. Targeted genomes are vulnerable to molecular mimicry through the conserved motifs they use for their own signaling and regulation. Mimicking these motifs enables an intergenomic or selfish element to control core target processes, and can occur at the sequence, structure, or functional level. Molecular mimicry was first appreciated as an important phenomenon more than twenty years ago. Modern genomics technologies, databases, and machine learning approaches offer tremendous potential to study the distribution of molecular mimicry across genetic conflicts in nature. Here, we explore the theoretical expectations for molecular mimicry between conflicting genomes, the trends in molecular mimicry mechanisms across known genetic conflicts, and outline how new examples can be gleaned from population genomic datasets. We discuss how mimics involving short sequence-based motifs or gene duplications can evolve convergently from new mutations. Whereas, processes that involve divergent domains or fully-folded structures occur among genomes by horizontal gene transfer. These trends are largely based on a small number of organisms and should be reevaluated in a general, phylogenetically independent framework. Currently, publicly available databases can be mined for genotypes driving non-Mendelian inheritance patterns, epistatic interactions, and convergent protein structures. A subset of these conflicting elements may be molecular mimics. We propose approaches for detecting genetic conflict and molecular mimicry from these datasets.

RESUMEN

Host-microbe systems are evolutionary niches that produce coevolved biological interactions and are a key component of global health. However, these systems have historically been a difficult field of biological research due to their experimental intractability. Impactful advances in global health will be obtained by leveraging in silico screens to identify genes involved in mediating interspecific interactions. These predictions will progress our understanding of these systems and lay the groundwork for future in vitro and in vivo experiments and bioengineering projects. A driver of host-manipulation and intracellular survival utilized by host-associated microbes is molecular mimicry, a critical mechanism that can occur at any level from DNA to protein structures. We applied protein structure prediction and alignment tools to explore host-associated bacterial structural proteomes for examples of protein structure mimicry. By leveraging the Legionella pneumophila proteome and its many known structural mimics, we developed and validated a screen that can be applied to virtually any host-microbe system to uncover signals of protein mimicry. These mimics represent candidate proteins that mediate host interactions in microbial proteomes. We successfully applied this screen to other microbes with demonstrated effects on global health, Helicobacter pylori and Wolbachia , identifying protein mimic candidates in each proteome. We discuss the roles these candidates may play in important Wolbachia -induced phenotypes and show that Wobachia infection can partially rescue the loss of one of these factors. This work demonstrates how a genome-wide screen for candidates of host-manipulation and intracellular survival offers an opportunity to identify functionally important genes in host-microbe systems.