Darren J. Obbard

The paper uses deep metagenomic sequencing to characterize the viral component of the Drosophila melanogaster gut microbiome, identifying novel bacteriophages and known pathogens.

The paper annotates protein-coding genes in 301 Drosophilidae species and analyzes evolutionary patterns in gene number and codon usage.

The paper identifies predictors of protein evolution in Drosophilid immune genes, finding faster sequence divergence and episodic positive selection in specific immune pathways.

The paper analyzes immune responses in three non-model Drosophilidae species to identify novel antimicrobial peptide candidates and assess immune gene variation.

This paper introduces a method to estimate additive genetic variance for relative fitness by tracking population genetic changes, avoiding direct fitness measurements.

The paper uses DEST 2.0 to analyze genetic variation in D. melanogaster across continents and time, identifying adaptation patterns and stable spatial genetic structures.

The paper examines the temporal variation in Spiroplasma infection prevalence in two Drosophila hydei populations over time.

The paper develops a bioinformatics pipeline to integrate Drosophila melanogaster genomic data from diverse sources, creating a large dataset called DEST for population genetics analysis.