Odorant mixtures elicit less variable and faster responses than pure odorants

Autores
Chan, Ho Ka; Hersperger, Fabian; Marachlian, Emiliano; Smith, Brian H.; Locatelli, Fernando Federico; Szyszka, Paul; Nowotny, Thomas
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simulations and physiological recordings in the olfactory system of insects. Our results suggest that mixtures allow faster and more reliable olfactory coding, which could be one of the reasons why animals often use mixtures in chemical signaling.
Fil: Chan, Ho Ka. University of Sussex; Reino Unido
Fil: Hersperger, Fabian. Universitat Konstanz; Alemania
Fil: Marachlian, Emiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Smith, Brian H.. Arizona State University; Estados Unidos
Fil: Locatelli, Fernando Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Szyszka, Paul. University Konstanz; Alemania
Fil: Nowotny, Thomas. University of Sussex; Reino Unido
Materia
Olfaction
Coding
Comptation
Modelling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/88497
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Odorant mixtures elicit less variable and faster responses than pure odorantsChan, Ho KaHersperger, FabianMarachlian, EmilianoSmith, Brian H.Locatelli, Fernando FedericoSzyszka, PaulNowotny, ThomasOlfactionCodingComptationModellinghttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simulations and physiological recordings in the olfactory system of insects. Our results suggest that mixtures allow faster and more reliable olfactory coding, which could be one of the reasons why animals often use mixtures in chemical signaling.Fil: Chan, Ho Ka. University of Sussex; Reino UnidoFil: Hersperger, Fabian. Universitat Konstanz; AlemaniaFil: Marachlian, Emiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Smith, Brian H.. Arizona State University; Estados UnidosFil: Locatelli, Fernando Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Szyszka, Paul. University Konstanz; AlemaniaFil: Nowotny, Thomas. University of Sussex; Reino UnidoPublic Library of Science2018-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88497Chan, Ho Ka; Hersperger, Fabian; Marachlian, Emiliano; Smith, Brian H.; Locatelli, Fernando Federico; et al.; Odorant mixtures elicit less variable and faster responses than pure odorants; Public Library of Science; Plos Computational Biology; 14; 12; 12-2018; 1-271553-734XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006536info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1006536info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:12:27Zoai:ri.conicet.gov.ar:11336/88497instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:12:27.22CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Odorant mixtures elicit less variable and faster responses than pure odorants
title Odorant mixtures elicit less variable and faster responses than pure odorants
spellingShingle Odorant mixtures elicit less variable and faster responses than pure odorants
Chan, Ho Ka
Olfaction
Coding
Comptation
Modelling
title_short Odorant mixtures elicit less variable and faster responses than pure odorants
title_full Odorant mixtures elicit less variable and faster responses than pure odorants
title_fullStr Odorant mixtures elicit less variable and faster responses than pure odorants
title_full_unstemmed Odorant mixtures elicit less variable and faster responses than pure odorants
title_sort Odorant mixtures elicit less variable and faster responses than pure odorants
dc.creator.none.fl_str_mv Chan, Ho Ka
Hersperger, Fabian
Marachlian, Emiliano
Smith, Brian H.
Locatelli, Fernando Federico
Szyszka, Paul
Nowotny, Thomas
author Chan, Ho Ka
author_facet Chan, Ho Ka
Hersperger, Fabian
Marachlian, Emiliano
Smith, Brian H.
Locatelli, Fernando Federico
Szyszka, Paul
Nowotny, Thomas
author_role author
author2 Hersperger, Fabian
Marachlian, Emiliano
Smith, Brian H.
Locatelli, Fernando Federico
Szyszka, Paul
Nowotny, Thomas
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Olfaction
Coding
Comptation
Modelling
topic Olfaction
Coding
Comptation
Modelling
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simulations and physiological recordings in the olfactory system of insects. Our results suggest that mixtures allow faster and more reliable olfactory coding, which could be one of the reasons why animals often use mixtures in chemical signaling.
Fil: Chan, Ho Ka. University of Sussex; Reino Unido
Fil: Hersperger, Fabian. Universitat Konstanz; Alemania
Fil: Marachlian, Emiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Smith, Brian H.. Arizona State University; Estados Unidos
Fil: Locatelli, Fernando Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Szyszka, Paul. University Konstanz; Alemania
Fil: Nowotny, Thomas. University of Sussex; Reino Unido
description In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simulations and physiological recordings in the olfactory system of insects. Our results suggest that mixtures allow faster and more reliable olfactory coding, which could be one of the reasons why animals often use mixtures in chemical signaling.
publishDate 2018
dc.date.none.fl_str_mv 2018-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/88497
Chan, Ho Ka; Hersperger, Fabian; Marachlian, Emiliano; Smith, Brian H.; Locatelli, Fernando Federico; et al.; Odorant mixtures elicit less variable and faster responses than pure odorants; Public Library of Science; Plos Computational Biology; 14; 12; 12-2018; 1-27
1553-734X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/88497
identifier_str_mv Chan, Ho Ka; Hersperger, Fabian; Marachlian, Emiliano; Smith, Brian H.; Locatelli, Fernando Federico; et al.; Odorant mixtures elicit less variable and faster responses than pure odorants; Public Library of Science; Plos Computational Biology; 14; 12; 12-2018; 1-27
1553-734X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006536
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1006536
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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