Leslie B. Vosshall

The paper identifies convergent gene losses and expression changes associated with blood-feeding loss in non-blood-feeding mosquitoes.

The paper shows that isoleucine deficiency in human hemoglobin mirrors mosquito proteomes and limits malaria parasite growth.

The paper identifies MOSN, a novel sex-specifically spliced neuronal gene in Aedes aegypti, conserved in other mosquito species but absent in Drosophila, with distinct protein isoforms and a duplicated domain.

The paper presents an ensemble model that improves predictions of perceptual similarity between odor mixtures using a curated dataset and collaborative challenge results.

The paper examines DENV infection in Aedes aegypti mosquito brains and finds minimal transcriptional response despite productive viral replication.

FERAL is a video-understanding system that maps raw video directly to behavioral labels, outperforming existing methods across species and conditions with less training data.

The paper presents a single-nucleus RNA sequencing atlas of Aedes aegypti mosquitoes, identifying novel cell types and sexual dimorphism in gene expression across tissues.

The paper identifies a female-controlled lock-and-key mating mechanism in Aedes mosquitoes, showing how genital structures determine mating success and species competition.

The paper identifies a sensory compensation mechanism in female Aedes aegypti mosquitoes where loss of odorant receptor co-receptor Orco leads to enhanced heat detection via upregulated Ir140 in forelegs.

The paper identifies three new small molecule agonists for NPYLR7 that suppress mosquito blood feeding at lower doses than previous compounds.

This study identifies two rapidly evolving genes in Aedes aegypti mosquitoes that enable extended egg retention during drought, enhancing reproductive resilience.

The paper identifies carboxylic acid levels in human skin odor as a factor influencing differential mosquito attraction and shows that genetic mutations affecting carboxylic acid receptors impair attraction to human scent.

This paper shows that female mosquitoes enter a persistent behavioral state after detecting human sensory cues, enabling sustained predation.

This study shows that fruitless mutant male mosquitoes become attracted to human odor, revealing a latent host-seeking behavior normally restricted to females.

Aedes aegypti olfactory neurons often co-express OR, IR and sometimes GR receptors; in the maxillary palp, one neuron type responds to odorants via both OR and IR pathways.

The paper identifies specialized stylet neurons in Aedes aegypti mosquitoes that detect blood over nectar, enabling distinct feeding programs for reproduction and survival.

This study shows that female Aedes aegypti mosquitoes integrate visual contrast with thermal and CO2 cues to locate human hosts, with visual cues being general and thermal cues contingent on CO2.

This study identifies ppk301 as a critical ion channel for freshwater egg-laying in Aedes aegypti mosquitoes, showing its role in detecting water and salt concentrations.

The paper investigates how genetic variation in olfactory receptors affects odor perception by analyzing sequencing data and phenotypes from 332 individuals.

This paper shows DEET repels mosquitoes through smell, taste, and contact, with contact mediated by leg tarsi, not proboscis taste receptors.

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.

This study identifies a GPCR, str-217, in C. elegans that mediates DEET resistance by altering chemotaxis behavior through increased pause length.

The paper identifies a neuropeptide system in Aedes aegypti mosquitoes that enforces paternity by preventing remating and ensuring sperm from the first male fertilizes all offspring.

The paper introduces SMELL-S and SMELL-R, olfactory tests that reduce bias from odor-specific insensitivity and prior experience by using unfamiliar odorant mixtures, showing high reliability across populations.

The paper demonstrates that machine learning can accurately predict odor perception from molecular features, enabling reverse-engineering of smell.

The paper estimates human olfactory discriminative capacity exceeds one trillion stimuli, acknowledging sensitivity to assumptions about significance thresholds and olfactory space dimensionality.