Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal Logo

Home page

Website UMR SPO - INRA Montpellier

Postdoc Jean-Nicolas Jasmin

Moving the wine yeast Saccharomyces cerevisiae up its adaptive peak in grape must
Jean Nicolas

My postdoc is a part of the PEAKYEAST Project, led by Jean-Luc Legras.

Sustaining a growing population while preserving nature is challenging, especially in an increasingly unpredictable climate. In this context, high production levels of fine wine will require innovations. Such breakthroughs are likely to arise from experimenting with the grape must’s microbial community that determine many wine characteristics. We propose to study the evolutionary genetics of the main wine yeast, S. cerevisiae, in its microbial community.

The genetic diversity of the yeast Saccharomyces cerevisiae is organized into subgroups each running in a particular environment (beer, bread, wine, cheese, rum, Sake, forest, etc.). In my project I experimentally adapt different sets of strains in grape must in order to evaluate the adaptation of strains commonly used for wine production. Are they the best for this task? Can they be improved by replacing some of their genes with those of other subgroups? I also estimate the potential of horizontal transfers of other yeast species present in grape must for the adaptation of S. cerevisiae to this environment.

 

Before my postdoc....:

I obtained my PhD at Wake Forest University (USA) under the supervision of Clifford Zeyl and my master MSc at the Ottawa University under the supervision of Rees Kassen.

Then I did a postdoc at CEFE (Montpellier) under the supervision of Thomas Lenormand. I have a postdoc position in the SPO joined research unit since 2017.

Contact : Jean-Nicolas Jasmin (jnjasmin@gmail.com)

Main publications:

Vidal, A., Perrot, C., Jasmin, J.-N., Lartigau, E., Arnaud, A., Cézilly, F., & A. Béchet. 2018. Lateralisation of complex behaviours in wild Greater Flamingos. Animal behaviour, sous presse.

Jasmin, J.-N., & T. Lenormand. 2016. Accelerating mutational load is not due to synergistic epistasis or mutator alleles in mutation accumulation lines of yeast. Genetics 202: 751-763.

Jasmin, J-N., & C. Devaux. 2015. Laterality of leaf cutting in the attine ant Acromyrmex echinatior. Insectes Sociaux 62: 109-114.

Jasmin, J.-N., & C. Zeyl. 2014. Rapid evolution of cheating mitochondrial genomes in small yeast populations. Evolution 68: 269-275.

Jasmin, J.-N., & C. Zeyl. 2013. Evolution of pleiotropic costs in experimental populations. Journal of Evolutionary Biology 26: 1363-1369.

Jasmin, J.-N., Dillon, M.M., & C. Zeyl. 2012 The yield of experimental yeast populations declines during selection. Proceedings of the Royal Society B 279: 4382-4388.

Jasmin, J.-N., & C. Zeyl. 2012. Life-history evolution and density-dependent growth in experimental populations of yeast. Evolution 66: 3789-3802.