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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9278781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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