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

INRA Experimental Fish Farm of the Monts d'Arrée

Genetic determinism of the texture of rainbow trout flesh: utility of using isogenic strains

PEIMA Workshop - Flesh Quality Measurement

Scientific leaders

F. Lefèvre, J. Bugeon (LPGP), M. Dupont-Nivet, E. Quillet (GABI)

Technical leader

T. Kerneis

Period

2013 - 2014

Budget

€15,000

Context and Objectives

The context of strong socio-economic and environmental constraints to world aquaculture production suggests the need to manage product quality to ensure its sustainability. Among quality parameters, flesh texture is essential, not only for sensorial properties of the product but also for its suitability for processing into filets. Texture is determined by the nature, quantity and properties of the components, mainly protein-based, of muscle, but also by the three-dimensional organisation (structure) of those tissues (muscle, connective and adipose) of which it is composed. Flesh texture is thus a complex phenotype that depends on relative developmental rates of different muscle tissues. The understanding of the biological basis of this texture implies having experimental models with given textural characteristics. Our preliminary work has shown that parameters of mechanical resistance of filets measured within hours after slaughter have moderate heritabilities (0.25-0.47), which suggest significant genetic determinism of these properties. To understand the development of the texture phenotype and its variability in more detail, it would be appropriate to perform divergent selection on this trait to obtain extreme genotypes that would furnish a relevant biological model. Nonetheless, this approach remains expensive and takes a long time to obtain sufficient divergence, especially since a trait such as texture cannot be measured directly in the candidates for selection.

Discussions with geneticists, in the framework of the strong collaboration of this project, have identified the relevance and originality of using the isogenic strains that they developed (E. Quillet, GABI). Each strain is composed of completely homozygous individuals, all of which are genetically identical. Until now, for all traits studied, a large phenotypic divergence between strains has been observed. This material has already been used successfully to study disease resistance or feed use (collaboration GABI-Numea). In addition, since the strains are stabilised, genotypes can be produced as often as necessary. The GABI unit is a full stakeholder in the project and contributes financially to the project by the production and maintenance of these isogenic strains. The parameters of flesh quality in this unique material have never been characterised before and thus would be a relevant alternative to divergent selection for furnishing extreme genotypes.

The objective of this project is to identify the genotypes corresponding to extreme textures that will be relevant biological models to understand in greater detail the development of the phenotype of flesh texture and its variability. Once the model is validated, higher-resolution phenotyping of muscular characteristics will be performed for fish in the extreme strains.