Experience-dependent tuning of the olfactory system

Pírez, Nicolás; Klappenbach, Martín; Locatelli, Fernando F

doi:10.1016/j.cois.2023.101117

Cited by 5 publications

(2 citation statements)

References 117 publications

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“…Study [52] found that the AL inhibitory network plays an important role in modifying projection neuron (PNs) responses after learning. It has been reported that the network effect of plasticity in the honey bee AL is to ‘warp’ the coding space around odors that are relevant to solving a current problem, such as identifying food [12, 53]. To reveal the mechanism behind this dynamics, we analyzed PN responses and found that the neuronal component in the representation of the rewarded odor that was unique to that odor was enhanced, while the components that had an overlap with the other odor class (habituated odor class) were suppressed.…”

Section: Discussionmentioning

confidence: 99%

Plasticity in inhibitory networks improves pattern separation in early olfactory processing

Joshi,

Haney,

Wang

et al. 2024

Preprint

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Distinguishing between nectar and non-nectar odors presents a challenge for animals due to shared compounds in complex mixtures, where changing ratios often signify differences in reward. Changes in nectar production throughout the day and potentially many times within a forager's lifetime add to the complexity. The honeybee olfactory system, containing less than a 1000 principal neurons in the early olfactory relay, the antennal lobe (AL), must learn to associate diverse volatile blends with rewards. We used a computational network model and live imaging of the honeybee's AL to explore the neural mechanisms and functions of the AL plasticity. Our findings revealed that when trained with a set of rewarded and unrewarded odors, the AL inhibitory network suppresses shared chemical compounds while enhancing responses to distinct compounds. This results in improved pattern separation and a more concise and efficient neural code. Our Calcium imaging data support our model's predictions. Furthermore, we applied these contrast enhancement principles to a Graph Convolutional Network (GCN) and found that similar mechanisms could enhance the performance of artificial neural networks. Our model provides insights into how plasticity at the inhibitory network level reshapes coding for efficient learning of complex odors.

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Section: Discussionmentioning

confidence: 99%

Plasticity in inhibitory networks improves pattern separation in early olfactory processing

Joshi,

Haney,

Wang

et al. 2024

Preprint

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“…The olfactory system plays an essential role in the foraging, mating, host location and danger avoidance behaviors of vertebrates. , There have been several reports on the molecular mechanism underlying the olfactory recognition process in arthropods, which is due to the rapid development of chemical ecology, especially reverse chemical ecology (RCE) . The RCE method has been used for developing new pest management agents by screening out behaviorally active chemical stimuli based on the relationships and interactions between chemical signals and chemosensory associated proteins.…”

Section: Introductionmentioning

confidence: 99%

Functional Characterization of the Niemann–Pick C2 Protein BdioNPC2b in the Parasitic Wasp Baryscapus dioryctriae (Chalcidodea: Eulophidae)

Chen,

Liu,

Chen

et al. 2024

J. Agric. Food Chem.

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Reverse chemical ecology has been widely applied for the functional characterization of olfactory proteins in various arthropods, but few related studies have focused on parasitic wasps. Here, the odorant carrier Niemann−Pick C2 protein of Baryscapus dioryctriae (BdioNPC2b) was studied in vitro and in vivo. Ligand binding analysis revealed that BdioNPC2b most strongly bound to 2-butyl-2-octenal and which compound could elicit an EAG response and attracted B. dioryctriae adults. Moreover, this odorant attractant significantly improved the reproductive efficiency of B. dioryctriae compared to that of the control. Then, the relationship between BdioNPC2b and 2-butyl-2-octenal was validated by RNAi, and site-directed mutagenesis revealed the involvement of three key residues of BdioNPC2b in binding to 2-butyl-2-octenal through hydrogen bonding. Our findings provide not only a deeper understanding of the olfactory function of NPC2 in wasps but also useful information for improving the performance of the parasitoid B. dioryctriae as a biological control agent.

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Editorial overview: From neurons to ecology: how sensory information guides insect behaviour

Hempel de Ibarra,

Mustard

2025

Current Opinion in Insect Science

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Experience-dependent tuning of the olfactory system

Cited by 5 publications

References 117 publications

Plasticity in inhibitory networks improves pattern separation in early olfactory processing

Plasticity in inhibitory networks improves pattern separation in early olfactory processing

Functional Characterization of the Niemann–Pick C2 Protein BdioNPC2b in the Parasitic Wasp Baryscapus dioryctriae (Chalcidodea: Eulophidae)

Editorial overview: From neurons to ecology: how sensory information guides insect behaviour

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