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Screening Host Genomic Data for Wolbachia Infections.

Federica Valerio^1,2, Victoria G Twort³, Anne Duplouy^4,5

¹Insect Symbiosis Ecology and Evolution, Organismal and Evolutionary Biology Research Program, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.

Methods in Molecular Biology (Clifton, N.J.)

|November 25, 2023

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Obtaining Wolbachia genomes is now simpler, bypassing the need for isolating bacteria. This protocol helps identify and retrieve Wolbachia DNA reads from host genome projects, facilitating diverse genome assemblies.

Area of Science:

Microbiology
Genomics
Bioinformatics

Background:

Historically, Wolbachia genome sequencing required laborious isolation of bacterial DNA, often involving host organism cultivation.
The endosymbiotic nature of Wolbachia and its dependence on host cells complicated large-scale DNA extraction and purification.
Previous methods relied on physical separation of bacterial DNA from host DNA, a challenging and time-consuming process.

Purpose of the Study:

To provide a straightforward protocol for identifying Wolbachia DNA within host genome sequencing data.
To enable the retrieval of Wolbachia reads from mixed sequencing datasets.
To facilitate the study and assembly of diverse Wolbachia genomes.

Main Methods:

The protocol guides users in analyzing existing host genome project data for the presence of Wolbachia reads.

Keywords:

Data mining Genomic screening Metagenomics Sequence Read Archive (SRA)Symbiont

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It outlines steps for bioinformatically isolating and extracting Wolbachia DNA sequences from host DNA.

The method leverages the 'by-catch' nature of Wolbachia DNA in host genomic projects.

Main Results:

The protocol successfully enables the identification of Wolbachia DNA reads in host genome sequencing projects.
It provides a method to effectively separate and retrieve Wolbachia sequences from mixed DNA samples.
This approach simplifies the process of obtaining Wolbachia genomic data.

Conclusions:

The developed protocol significantly reduces the complexity and cost associated with Wolbachia genome assembly.
It democratizes access to Wolbachia genomic data by utilizing existing host sequencing efforts.
This method will support a broader range of research on Wolbachia diversity and biology.