Andrea Gloria‐Soria

This study uses machine learning to map tsetse fly connectivity in Uganda and western Kenya, identifying key environmental predictors and priority zones for pest management.

The paper develops de novo chromosome-scale genomes for two Aedes mosquito species and compares them to a reference genome to reveal chromosomal rearrangements and gene expansion differences.

This study identifies chromosomal inversions in Aedes aegypti using Hi-C, revealing geographic distribution patterns and potential roles in host choice and disease transmission.

This study sequenced 1,206 Aedes aegypti genomes to trace the origin and global spread of the species, revealing its evolution from a forest-dwelling to an urban, human-biting form and its impact on dengue risk.

The paper identifies novel persistent viruses in Aedes aegypti mosquitoes using small RNA sequencing and confirms their replication and transmissibility in cell lines.

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.