J. Spencer Johnston

The paper presents a chromosome-level genome assembly of the southern pine beetle and identifies gene content reduction and annotation biases in the Dendroctonus clade.

The paper presents the first high-quality genome assembly of the house cricket and demonstrates genetic engineering techniques for improving its agricultural and industrial applications.

This study identifies the genomic basis of evolutionary novelties in the Glassy-Winged Sharpshooter, revealing novel genes, horizontal gene transfer, and symbiotic associations contributing to its adaptations.

The paper sequenced and analyzed the S. littoralis genome to investigate the expansion mechanisms of gustatory receptors in polyphagous noctuidae, identifying transposable elements and positive selection as potential drivers.

This study compares PacBio and Oxford Nanopore long-read sequencing technologies for bacterial and fly genome assembly and methylation detection, finding no single technology outperforms others across all metrics.

The paper assembles and annotates a reference genome for Culex tarsalis, identifies genetic clusters, and estimates divergence time from Culex quinquefasciatus.

The paper presents an improved genome assembly of Aedes albopictus, revealing new biological features and enabling population and developmental studies.

The paper compares genome size estimation methods using read-depth, k-mers, and flow cytometry in beetles, finding that no single method performs well across all species and that sequence-based methods tend to underestimate genome sizes.

The paper presents a chromosome-level genome assembly of the cat flea, revealing extensive gene duplication and genome size variation, along with novel Wolbachia strains.

The paper presents the milkweed bug genome and comparative analyses to study molecular evolution and feeding ecology in Hemiptera.

The paper presents an improved Aedes aegypti genome assembly, AaegL5, which enhances biological understanding and vector control efforts by resolving key genomic features and identifying new targets for intervention.