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Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees

Animals use odors in many natural contexts, for example, for finding mates or food, or signaling danger. Most analyses of natural odors search for either the most meaningful components of a natural odor mixture, or they use linear metrics to analyze the mixture compositions. However, we have recentl...

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Autores principales: Ghaninia, Majid, Zhou, Yuansheng, Knauer, Anina C., Schiestl, Florian P., Sharpee, Tatyana O., Smith, Brian H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278781/
https://www.ncbi.nlm.nih.gov/pubmed/35830455
http://dx.doi.org/10.1371/journal.pone.0270358
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author Ghaninia, Majid
Zhou, Yuansheng
Knauer, Anina C.
Schiestl, Florian P.
Sharpee, Tatyana O.
Smith, Brian H.
author_facet Ghaninia, Majid
Zhou, Yuansheng
Knauer, Anina C.
Schiestl, Florian P.
Sharpee, Tatyana O.
Smith, Brian H.
author_sort Ghaninia, Majid
collection PubMed
description Animals use odors in many natural contexts, for example, for finding mates or food, or signaling danger. Most analyses of natural odors search for either the most meaningful components of a natural odor mixture, or they use linear metrics to analyze the mixture compositions. However, we have recently shown that the physical space for complex mixtures is ‘hyperbolic’, meaning that there are certain combinations of variables that have a disproportionately large impact on perception and that these variables have specific interpretations in terms of metabolic processes taking place inside the flower and fruit that produce the odors. Here we show that the statistics of odorants and odorant mixtures produced by inflorescences (Brassica rapa) are also better described with a hyperbolic rather than a linear metric, and that combinations of odorants in the hyperbolic space are better predictors of the nectar and pollen resources sought by bee pollinators than the standard Euclidian combinations. We also show that honey bee and bumble bee antennae can detect most components of the B. rapa odor space that we tested, and the strength of responses correlates with positions of odorants in the hyperbolic space. In sum, a hyperbolic representation can be used to guide investigation of how information is represented at different levels of processing in the CNS.
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spelling pubmed-92787812022-07-14 Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees Ghaninia, Majid Zhou, Yuansheng Knauer, Anina C. Schiestl, Florian P. Sharpee, Tatyana O. Smith, Brian H. PLoS One Research Article Animals use odors in many natural contexts, for example, for finding mates or food, or signaling danger. Most analyses of natural odors search for either the most meaningful components of a natural odor mixture, or they use linear metrics to analyze the mixture compositions. However, we have recently shown that the physical space for complex mixtures is ‘hyperbolic’, meaning that there are certain combinations of variables that have a disproportionately large impact on perception and that these variables have specific interpretations in terms of metabolic processes taking place inside the flower and fruit that produce the odors. Here we show that the statistics of odorants and odorant mixtures produced by inflorescences (Brassica rapa) are also better described with a hyperbolic rather than a linear metric, and that combinations of odorants in the hyperbolic space are better predictors of the nectar and pollen resources sought by bee pollinators than the standard Euclidian combinations. We also show that honey bee and bumble bee antennae can detect most components of the B. rapa odor space that we tested, and the strength of responses correlates with positions of odorants in the hyperbolic space. In sum, a hyperbolic representation can be used to guide investigation of how information is represented at different levels of processing in the CNS. Public Library of Science 2022-07-13 /pmc/articles/PMC9278781/ /pubmed/35830455 http://dx.doi.org/10.1371/journal.pone.0270358 Text en © 2022 Ghaninia et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ghaninia, Majid
Zhou, Yuansheng
Knauer, Anina C.
Schiestl, Florian P.
Sharpee, Tatyana O.
Smith, Brian H.
Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
title Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
title_full Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
title_fullStr Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
title_full_unstemmed Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
title_short Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
title_sort hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278781/
https://www.ncbi.nlm.nih.gov/pubmed/35830455
http://dx.doi.org/10.1371/journal.pone.0270358
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