ArticleCommunicative & integrative biology2010
Sensory sea slugs: Towards decoding the molecular toolkit required for a mollusc to smell.
Article in Communicative & integrative biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Lineage-Specific Class-A GPCR Dynamics Reflect Diverse Chemosensory Adaptations in Lophotrochozoa.Molecular biology and evolution · 2025Article
- Evolutionary ecology of chemosensation and its role in sensory drive.Current zoology · 2018Article
- Whole genome analysis of a schistosomiasis-transmitting freshwater snail.Nature communications · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molluscs are a large and diverse group of aquatic and terrestrial animals that rely heavily on chemical communication. Aplysia is an excellent model in which to investigate and develop breakthrough principles into the molecular aspects of chemoreception in molluscs. We recently identified a large family of rhodopsin-like G-protein coupled receptors expressed in the chemosensory rhinophore of Aplysia that may be key components of sensory detection. Here, we summarize these findings and provide further insight into the molecular olfactory toolkit used by Aplysia, by taking advantage of our knowledge of their attraction pheromones. Our characterization of rhinophore genes upregulated following pheromone stimulation helps explain the dynamics of olfactory gene expression following chemical stimulation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.