IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0070219.html
   My bibliography  Save this article

Can Yeast (S. cerevisiae) Metabolic Volatiles Provide Polymorphic Signaling?

Author

Listed:
  • J Roman Arguello
  • Carolina Sellanes
  • Yann Ru Lou
  • Robert A Raguso

Abstract

Chemical signaling between organisms is a ubiquitous and evolutionarily dynamic process that helps to ensure mate recognition, location of nutrients, avoidance of toxins, and social cooperation. Evolutionary changes in chemical communication systems progress through natural variation within the organism generating the signal as well as the responding individuals. A promising yet poorly understood system with which to probe the importance of this variation exists between D. melanogaster and S. cerevisiae. D. melanogaster relies on yeast for nutrients, while also serving as a vector for yeast cell dispersal. Both are outstanding genetic and genomic models, with Drosophila also serving as a preeminent model for sensory neurobiology. To help develop these two genetic models as an ecological model, we have tested if - and to what extent - S. cerevisiae is capable of producing polymorphic signaling through variation in metabolic volatiles. We have carried out a chemical phenotyping experiment for 14 diverse accessions within a common garden random block design. Leveraging genomic sequences for 11 of the accessions, we ensured a genetically broad sample and tested for phylogenetic signal arising from phenotypic dataset. Our results demonstrate that significant quantitative differences for volatile blends do exist among S. cerevisiae accessions. Of particular ecological relevance, the compounds driving the blend differences (acetoin, 2-phenyl ethanol and 3-methyl-1-butanol) are known ligands for D. melanogasters chemosensory receptors, and are related to sensory behaviors. Though unable to correlate the genetic and volatile measurements, our data point clear ways forward for behavioral assays aimed at understanding the implications of this variation.

Suggested Citation

  • J Roman Arguello & Carolina Sellanes & Yann Ru Lou & Robert A Raguso, 2013. "Can Yeast (S. cerevisiae) Metabolic Volatiles Provide Polymorphic Signaling?," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-12, August.
  • Handle: RePEc:plo:pone00:0070219
    DOI: 10.1371/journal.pone.0070219
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0070219
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0070219&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0070219?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Manolis Kellis & Nick Patterson & Matthew Endrizzi & Bruce Birren & Eric S. Lander, 2003. "Sequencing and comparison of yeast species to identify genes and regulatory elements," Nature, Nature, vol. 423(6937), pages 241-254, May.
    2. Dray, Stéphane & Dufour, Anne-Béatrice, 2007. "The ade4 Package: Implementing the Duality Diagram for Ecologists," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i04).
    3. Yee, Thomas W., 2010. "The VGAM Package for Categorical Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i10).
    4. Minrong Ai & Soohong Min & Yael Grosjean & Charlotte Leblanc & Rati Bell & Richard Benton & Greg S. B. Suh, 2010. "Acid sensing by the Drosophila olfactory system," Nature, Nature, vol. 468(7324), pages 691-695, December.
    5. Joseph Schacherer & Joshua A. Shapiro & Douglas M. Ruderfer & Leonid Kruglyak, 2009. "Comprehensive polymorphism survey elucidates population structure of Saccharomyces cerevisiae," Nature, Nature, vol. 458(7236), pages 342-345, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carole Camarasa & Isabelle Sanchez & Pascale Brial & Frédéric Bigey & Sylvie Dequin, 2011. "Phenotypic Landscape of Saccharomyces cerevisiae during Wine Fermentation: Evidence for Origin-Dependent Metabolic Traits," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-12, September.
    2. D'Alberto, R. & Targetti, S. & Schaller, L. & Bartolini, F. & Eichhorn, T. & Haltia, E. & Harmanny, K. & Le Gloux, F. & Nikolov, D. & Runge, T. & Vergamini, D. & Viaggi, D., 2024. "A European perspective on acceptability of innovative agri-environment-climate contract solutions," Land Use Policy, Elsevier, vol. 141(C).
    3. Wenzel Kröber & Martin Böhnke & Erik Welk & Christian Wirth & Helge Bruelheide, 2012. "Leaf Trait-Environment Relationships in a Subtropical Broadleaved Forest in South-East China," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-11, April.
    4. Pengfei Song & Wen Qin & YanGan Huang & Lei Wang & Zhenyuan Cai & Tongzuo Zhang, 2020. "Grazing Management Influences Gut Microbial Diversity of Livestock in the Same Area," Sustainability, MDPI, vol. 12(10), pages 1-12, May.
    5. Jiang, Xianfeng & Packer, Frank, 2019. "Credit ratings of Chinese firms by domestic and global agencies: Assessing the determinants and impact," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 178-193.
    6. Xi Liu & Yiqiao Jin & Yifan Yang & Xiaoqing Pan, 2023. "Properties and Estimations of a Multivariate Folded Normal Distribution," Mathematics, MDPI, vol. 11(23), pages 1-15, December.
    7. la Grange, Anthony & le Roux, Niël & Gardner-Lubbe, Sugnet, 2009. "BiplotGUI: Interactive Biplots in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i12).
    8. Jonas Eberle & Renier Myburgh & Dirk Ahrens, 2014. "The Evolution of Morphospace in Phytophagous Scarab Chafers: No Competition - No Divergence?," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-16, May.
    9. Liesbeth François & Katrien Wijnrocx & Frédéric G Colinet & Nicolas Gengler & Bettine Hulsegge & Jack J Windig & Nadine Buys & Steven Janssens, 2017. "Genomics of a revived breed: Case study of the Belgian campine cattle," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.
    10. Tao Song & Hong Gu, 2014. "Discriminative Motif Discovery via Simulated Evolution and Random Under-Sampling," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-10, February.
    11. Michail Tsagris & Christina Beneki & Hossein Hassani, 2014. "On the Folded Normal Distribution," Mathematics, MDPI, vol. 2(1), pages 1-17, February.
    12. Shuai Shao & Göran Kauermann, 2020. "Understanding price elasticity for airline ancillary services," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(1), pages 74-82, February.
    13. Hyosik Jang & Ian M Ehrenreich, 2012. "Genome-Wide Characterization of Genetic Variation in the Unicellular, Green Alga Chlamydomonas reinhardtii," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
    14. Shin Ji-Hyung & Infante-Rivard Claire & McNeney Brad & Graham Jinko, 2014. "A data-smoothing approach to explore and test gene-environment interaction in case-parent trios," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 13(2), pages 159-171, April.
    15. Thomas Yee & Alfian Hadi, 2014. "Row–column interaction models, with an R implementation," Computational Statistics, Springer, vol. 29(6), pages 1427-1445, December.
    16. Ioannis Kontoyiannis & Lambros Mertzanis & Athina Panotopoulou & Ioannis Papageorgiou & Maria Skoularidou, 2022. "Bayesian context trees: Modelling and exact inference for discrete time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1287-1323, September.
    17. Hammond, Jim & Rosenblum, Nathaniel & Breseman, Dana & Gorman, Léo & Manners, Rhys & van Wijk, Mark T. & Sibomana, Milindi & Remans, Roseline & Vanlauwe, Bernard & Schut, Marc, 2020. "Towards actionable farm typologies: Scaling adoption of agricultural inputs in Rwanda," Agricultural Systems, Elsevier, vol. 183(C).
    18. Calenge, Clément, 2007. "Exploring Habitat Selection by Wildlife with adehabitat," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i06).
    19. Goedkoop, F. & Dijkstra, J. & Flache, A., 2022. "A social network perspective on involvement in community energy initiatives: The role of direct and extended social ties to initiators," Energy Policy, Elsevier, vol. 171(C).
    20. Sara Rachik & Urania Christaki & Luen Luen Li & Savvas Genitsaris & Elsa Breton & Sébastien Monchy, 2018. "Diversity and potential activity patterns of planktonic eukaryotic microbes in a mesoeutrophic coastal area (eastern English Channel)," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-26, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0070219. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.