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:

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:, 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

Google Analytics

Targeted advertising cookies


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 or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal Logo GAFL Logo GAFL

Home page GAFL

ADAPTOM (2014 - 2017)

ANR Project - Coordinator : Mathilde Causse (GAFL)

Logo ANR
Genetic, genomic and ecophysiologigal bases of tomato adaptation to water stress and other environmental stresses

The objective of the project is the identification of useful alleles, genes, QTLs and phenotypes that will enable a plant to maintain yield under conditions of limited water. This trait is defined as water productivity: we therefore do not aim to study drought stress per se as a phenotype but instead something closer to the conditions plants may really have to withstand in the field in a changing environment. We aim to, in a model and economically important crop, tomato:
1. Identify QTLs involved in water productivity and tomato accessions or mutants adapted to water stress useful for breeding purposes. The QTL regions will be dissected in regard to the genome sequence of the parental lines. The segregating population will be analysed in heat and salt stress conditions in order to identify common and specific QTLs
2. Identify regulatory genes (encoding transcription factors or production of signalling molecules) that are candidates for the improvement of yield in cultivated tomato and alleles that can be used directly to improve water productivity.
3. Screen for mutants tolerant to water stress and identify the corresponding genes through DNAseq mapping
4. Continue the characterisation of previously identified candidate genes involved in cellular protection against water limitation by using transgenic tomato plants.
5. Carry out a precise physiological analysis of the response to water limitation and the role of physical barriers to water loss such as the cuticle.
6. Introduce into an ecophysiological model the impact of water stress in interaction with genotypes in order to define ideotypes and test virtual scenarios of plant adaptation.
7. Integrate and manage all the data produced into a common database
The project relies on the complementary expertises (genetics, ecophysiology, genomics and physiology) of three laboratories and two breeding companies. It will benefit form a range of resources and preliminary data, such as several populations (accessions, segregating populations and EMS induced mutants) and the availability of the tomato genome sequence as well as the genome sequences of 8 divergent lines used as parents of a MAGIC population