Literature DB >> 33957076

Deconstructing the mouse olfactory percept through an ethological atlas.

Diogo Manoel1, Melanie Makhlouf1, Charles J Arayata2, Abbirami Sathappan1, Sahar Da'as1, Doua Abdelrahman1, Senthil Selvaraj1, Reem Hasnah1, Joel D Mainland3, Richard C Gerkin4, Luis R Saraiva5.   

Abstract

Odor perception in non-humans is poorly understood. Here, we generated the most comprehensive mouse olfactory ethological atlas to date, consisting of behavioral responses to a diverse panel of 73 odorants, including 12 at multiple concentrations. These data revealed that mouse behavior is incredibly diverse and changes in response to odorant identity and concentration. Using only behavioral responses observed in other mice, we could predict which of two odorants was presented to a held-out mouse 82% of the time. Considering all 73 possible odorants, we could uniquely identify the target odorant from behavior on the first try 20% of the time and 46% within five attempts. Although mouse behavior is difficult to predict from human perception, they share three fundamental properties: first, odor valence parameters explained the highest variance of olfactory perception. Second, physicochemical properties of odorants can be used to predict the olfactory percept. Third, odorant concentration quantitatively and qualitatively impacts olfactory perception. These results increase our understanding of mouse olfactory behavior and how it compares to human odor perception and provide a template for future comparative studies of olfactory percepts among species.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  behavior; chemoinformatics; machine learning; odor; olfactory; perception

Mesh:

Year:  2021        PMID: 33957076      PMCID: PMC8282700          DOI: 10.1016/j.cub.2021.04.020

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.900


  52 in total

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Authors:  B Malnic; J Hirono; T Sato; L B Buck
Journal:  Cell       Date:  1999-03-05       Impact factor: 41.582

2.  Predicting human olfactory perception from chemical features of odor molecules.

Authors:  Andreas Keller; Richard C Gerkin; Yuanfang Guan; Amit Dhurandhar; Gabor Turu; Bence Szalai; Joel D Mainland; Yusuke Ihara; Chung Wen Yu; Russ Wolfinger; Celine Vens; Leander Schietgat; Kurt De Grave; Raquel Norel; Gustavo Stolovitzky; Guillermo A Cecchi; Leslie B Vosshall; Pablo Meyer
Journal:  Science       Date:  2017-02-20       Impact factor: 47.728

3.  A metric for odorant comparison.

Authors:  Rafi Haddad; Rehan Khan; Yuji K Takahashi; Kensaku Mori; David Harel; Noam Sobel
Journal:  Nat Methods       Date:  2008-03-30       Impact factor: 28.547

4.  A large-scale analysis of odor coding in the olfactory epithelium.

Authors:  Kiyomitsu Nara; Luis R Saraiva; Xiaolan Ye; Linda B Buck
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

5.  Behavioral responses of predator-naïve dwarf hamsters (Phodopus campbelli) to odor cues of the European ferret fed with different prey species.

Authors:  Raimund Apfelbach; Helena A Soini; Nina Y Vasilieva; Milos V Novotny
Journal:  Physiol Behav       Date:  2015-07-01

6.  Odor quality: semantically generated multidimensional profiles are stable.

Authors:  A Dravnieks
Journal:  Science       Date:  1982-11-19       Impact factor: 47.728

7.  Modular representations of odorants in the glomerular layer of the rat olfactory bulb and the effects of stimulus concentration.

Authors:  B A Johnson; M Leon
Journal:  J Comp Neurol       Date:  2000-07-10       Impact factor: 3.215

8.  Innate versus learned odour processing in the mouse olfactory bulb.

Authors:  Ko Kobayakawa; Reiko Kobayakawa; Hideyuki Matsumoto; Yuichiro Oka; Takeshi Imai; Masahito Ikawa; Masaru Okabe; Toshio Ikeda; Shigeyoshi Itohara; Takefumi Kikusui; Kensaku Mori; Hitoshi Sakano
Journal:  Nature       Date:  2007-11-07       Impact factor: 49.962

9.  Learned recognition of maternal signature odors mediates the first suckling episode in mice.

Authors:  Darren W Logan; Lisa J Brunet; William R Webb; Tyler Cutforth; John Ngai; Lisa Stowers
Journal:  Curr Biol       Date:  2012-10-04       Impact factor: 10.834

Review 10.  Mammalian pheromones.

Authors:  Stephen D Liberles
Journal:  Annu Rev Physiol       Date:  2013-08-26       Impact factor: 19.318

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  1 in total

1.  A 3D transcriptomics atlas of the mouse nose sheds light on the anatomical logic of smell.

Authors:  Mayra L Ruiz Tejada Segura; Eman Abou Moussa; Elisa Garabello; Thiago S Nakahara; Melanie Makhlouf; Lisa S Mathew; Li Wang; Filippo Valle; Susie S Y Huang; Joel D Mainland; Michele Caselle; Matteo Osella; Stephan Lorenz; Johannes Reisert; Darren W Logan; Bettina Malnic; Antonio Scialdone; Luis R Saraiva
Journal:  Cell Rep       Date:  2022-03-22       Impact factor: 9.423

  1 in total

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