TY - JOUR
T1 - Hyperbolic odorant mixtures as a basis for more efficient signaling between flowering plants and bees
AU - Ghaninia, Majid
AU - Zhou, Yuansheng
AU - Knauer, Anina C.
AU - Schiestl, Florian P.
AU - Sharpee, Tatyana O.
AU - Smith, Brian H.
N1 - Funding Information:
This research was supported by by the Next Generation Networks for Neuroscience Program (Award #2014217), the Aileen Andrew Foundation, the National Science Foundation (NSF) award numbers IIS-1254123 and IOS-1556388 to TOS and 1556337 to BHS. Both awards from IOS resulted from an NSF Ideas Lab ‘Cracking the Olfactory Code’. FPS and ACK were funded by the European Union’s Seventh Framework Program ([FP7/2007-2013] [FP7/2007-2011]) under grant agreement no. 281093.
Funding Information:
Funding:Thisresearchwassupportedbybythe NextGenerationNetworksforNeuroscience Program(Award#2014217),theAileenAndrew Foundation,theNationalScienceFoundation(NSF) awardnumbersIIS-1254123andIOS-1556388to TOSand1556337toBHS.BothawardsfromIOS resultedfromanNSFIdeasLab‘Crackingthe OlfactoryCode’.FPSandACKwerefundedbythe EuropeanUnion’sSeventhFrameworkProgram ([FP7/2007-2013][FP7/2007-2011])undergrant agreementno.281093.
Publisher Copyright:
© 2022 Ghaninia et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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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U2 - 10.1371/journal.pone.0270358
DO - 10.1371/journal.pone.0270358
M3 - Article
C2 - 35830455
AN - SCOPUS:85134338832
SN - 1932-6203
VL - 17
JO - PloS one
JF - PloS one
IS - 7 July
M1 - e0270358
ER -