Symbiosis of intracellular bacteria Wolbachia with insects: a hundred years of study summarized.

Abstract

Wolbachia pipientis is an α-proteobacterium, which is a widespread intracellular symbiont in a number of Arthropoda and some Nematoda species. With insects, W. pipientis forms a symbiont-host system characterized by very close interactions between its components. The mutual effects of Wolbachia on the host and the host on Wolbachia are important biotic factors for both components of this symbiotic system. Wolbachia is able to affect both host reproduction and somatic organ function. Due to its prevalence among insects and a wide variety of both negative (cytoplasmic incompatibility and androcide are among the most well-known examples) and positive (increasing resistance to biotic and abiotic factors, providing vitamins and metabolites) effects on the host organism, Wolbachia is of great interest for both entomologists and microbiologists. The diversity of host phenotypes induced by Wolbachia provides a broad choice of evolutionary strategies (such as reproductive parasitism or mutually beneficial symbiont-host relationships) that it utilizes. The influence of Wolbachia is to be considered in the design of any experiment conducted on insects. The application of sequencing technologies has led to new approaches being created to study the existing relationships within the Wolbachia-insect system, but interpretation of the data obtained is challenging. Nevertheless, the prospects for the use of the whole-genome analysis data to study Wolbachia-host coevolution are beyond doubt. Ongoing projects to introduce Wolbachia strains, which provide antiviral host defense, into insect populations to control the spread of RNA-viruses are actively pursued, which could result in saving many human lives. The aim of this brief review is to summarize the data collected by scientists over the past hundred years of Wolbachia studies and the current understanding of its genetic diversity and mechanisms of interaction with the host, including those based on transcriptome analysis.