Literature DB >> 33659338

Observing Nutrient Gradients, Gene Expression and Growth Variation Using the "Yeast Machine" Microfluidic Device.

Zoran S Marinkovic1,2,3, Clément Vulin1,4,5, Mislav Acman1,3, Xiaohu Song2,3, Jean Marc Di Meglio1, Ariel B Lindner2,3, Pascal Hersen1,6,7.   

Abstract

The natural environment of microbial cells like bacteria and yeast is often a complex community in which growth and internal organization reflect morphogenetic processes and interactions that are dependent on spatial position and time. While most of research is performed in simple homogeneous environments (e.g., bulk liquid cultures), which cannot capture full spatiotemporal community dynamics, studying biofilms or colonies is complex and usually does not give access to the spatiotemporal dynamics at single cell level. Here, we detail a protocol for generation of a microfluidic device, the "yeast machine", with arrays of long monolayers of yeast colonies to advance the global understanding of how intercellular metabolic interactions affect the internal structure of colonies within defined and customizable spatial dimensions. With Saccharomyces cerevisiae as a model yeast system we used the "yeast machine" to demonstrate the emergence of glucose gradients by following expression of fluorescently labelled hexose transporters. We further quantified the expression spatial patterns with intra-colony growth rates and expression of other genes regulated by glucose availability. In addition to this, we showed that gradients of amino acids also form within a colony, potentially opening similar approaches to study spatiotemporal formation of gradients of many other nutrients and metabolic waste products. This approach could be used in the future to decipher the interplay between long-range metabolic interactions, cellular development, and morphogenesis in other same species or more complex multi-species systems at single-cell resolution and timescales relevant to ecology and evolution.
Copyright © The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Emerging properties; Gene expression; Metabolism; Microbial ecology; Microfluidics; Spatial organization; Yeast colony

Year:  2020        PMID: 33659338      PMCID: PMC7842604          DOI: 10.21769/BioProtoc.3668

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  30 in total

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Authors:  William C Ratcliff; R Ford Denison; Mark Borrello; Michael Travisano
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

2.  Cell differentiation within a yeast colony: metabolic and regulatory parallels with a tumor-affected organism.

Authors:  Michal Cáp; Luděk Stěpánek; Karel Harant; Libuše Váchová; Zdena Palková
Journal:  Mol Cell       Date:  2012-05-03       Impact factor: 17.970

Review 3.  Nutritional control of growth and development in yeast.

Authors:  James R Broach
Journal:  Genetics       Date:  2012-09       Impact factor: 4.562

4.  Cooperation and conflict in microbial biofilms.

Authors:  Joao B Xavier; Kevin R Foster
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-08       Impact factor: 11.205

Review 5.  Nutrient sensing and signaling in the yeast Saccharomyces cerevisiae.

Authors:  Michaela Conrad; Joep Schothorst; Harish Nag Kankipati; Griet Van Zeebroeck; Marta Rubio-Texeira; Johan M Thevelein
Journal:  FEMS Microbiol Rev       Date:  2014-03-03       Impact factor: 16.408

6.  Compressive stress inhibits proliferation in tumor spheroids through a volume limitation.

Authors:  Morgan Delarue; Fabien Montel; Danijela Vignjevic; Jacques Prost; Jean-François Joanny; Giovanni Cappello
Journal:  Biophys J       Date:  2014-10-21       Impact factor: 4.033

7.  Advanced methods of microscope control using μManager software.

Authors:  Arthur D Edelstein; Mark A Tsuchida; Nenad Amodaj; Henry Pinkard; Ronald D Vale; Nico Stuurman
Journal:  J Biol Methods       Date:  2014

Review 8.  Characterizing microbial communities through space and time.

Authors:  Antonio Gonzalez; Andrew King; Michael S Robeson; Sejin Song; Ashley Shade; Jessica L Metcalf; Rob Knight
Journal:  Curr Opin Biotechnol       Date:  2011-12-07       Impact factor: 9.740

9.  Inter-species population dynamics enhance microbial horizontal gene transfer and spread of antibiotic resistance.

Authors:  Robert M Cooper; Lev Tsimring; Jeff Hasty
Journal:  Elife       Date:  2017-11-01       Impact factor: 8.140

10.  Community interactions and spatial structure shape selection on antibiotic resistant lineages.

Authors:  Sylvie Estrela; Sam P Brown
Journal:  PLoS Comput Biol       Date:  2018-06-21       Impact factor: 4.475

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