| Literature DB >> 31186318 |
Ewa Chrostek1,2, Michael Gerth3.
Abstract
Wolbachia (Alphaproteobacteria, Rickettsiales) is an intraovarially transmitted symbiont of insects able to exert striking phenotypes, including reproductive manipulations and pathogen blocking. These phenotypes make Wolbachia a promising tool to combat mosquito-borne diseases. Although Wolbachia is present in the majority of terrestrial arthropods, including many disease vectors, it was considered absent from Anopheles gambiae mosquitos, the main vectors of malaria in sub-Saharan Africa. In 2014, Wolbachia sequences were detected in A. gambiae samples collected in Burkina Faso. Subsequently, similar evidence came from collections all over Africa, revealing a high Wolbachia 16S rRNA sequence diversity, low abundance, and a lack of congruence between host and symbiont phylogenies. Here, we reanalyze and discuss recent evidence on the presence of Wolbachia sequences in A. gambiae. We find that although detected at increasing frequencies, the unusual properties of these Wolbachia sequences render them insufficient to diagnose natural infections in A. gambiae Future studies should focus on uncovering the origin of Wolbachia sequence variants in Anopheles and seeking sequence-independent evidence for this new symbiosis. Understanding the ecology of Anopheles mosquitos and their interactions with Wolbachia will be key in designing successful, integrative approaches to limit malaria spread. Although the prospect of using Wolbachia to fight malaria is intriguing, the newly discovered strains do not bring it closer to realization.IMPORTANCE Anopheles gambiae mosquitos are the main vectors of malaria, threatening around half of the world's population. The bacterial symbiont Wolbachia can interfere with disease transmission by other important insect vectors, but until recently, it was thought to be absent from natural A. gambiae populations. Here, we critically analyze the genomic, metagenomic, PCR, imaging, and phenotypic data presented in support of the presence of natural Wolbachia infections in A. gambiae We find that they are insufficient to diagnose Wolbachia infections and argue for the need of obtaining robust data confirming basic Wolbachia characteristics in this system. Determining the Wolbachia infection status of Anopheles is critical due to its potential to influence Anopheles population structure and Plasmodium transmission.Entities:
Keywords: endosymbionts; malaria; metagenomics; vector biology
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Year: 2019 PMID: 31186318 PMCID: PMC6561020 DOI: 10.1128/mBio.00784-19
Source DB: PubMed Journal: mBio Impact factor: 7.867
FIG 1Taxonomic composition of the reads generated in phase 1 of the Ag1000G project. In total, around 79 billion reads were generated from 765 A. gambiae mosquitos (32). Around 80% of these reads map to the A. gambiae host genome (represented by blue squares on the left). Panels on the right represent sequential magnifications of the portion of non-Anopheles reads to visualize the proportion of reads mapping to Wolbachia. The proportion of singletons (i.e., reads for which the mate did not map to the same chromosome) for each category are indicated by squares containing diagonal lines. Around 5% of all reads were classified as PCR duplicates but not removed prior to our analysis.
FIG 2Taxonomic classification of reads in the libraries from which the genome of a putative Wolbachia symbiont of A. gambiae was assembled (BioSample SAMEA3911293). For more details, refer to Text S1 and Fig. S1 in the supplemental material.
FIG 3Phylogenetic placement of Wolbachia sequences from Anopheles gambiae based on 16S rRNA sequences. Alignment was done with Mafft using the “–auto” option. A maximum-likelihood tree was inferred with automatic model selection in IQ-TREE version 1.62 (60). Origins of sequences are indicated by colors (see the key), and tip names correspond to NCBI accession numbers. All other sequences are reference Wolbachia strains. Tentative supergroup affiliations are denoted with capital letters. Please note that the two Wolbachia 16S rRNA sequences determined by Gomes et al. (29) overlap. Because the 117-bp overlap regions are 100% identical between these two sequences, we have merged them prior to phylogenetic analysis.