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 CBGP Cirad IRD SupAgro Muse

Home page

Maria Bogaerts Marquez

BOGAERTS MARQUEZ Maria

Maria BOGAERTS MARQUEZ
Courriel : maria.bogaerts-marquez(at)inrae.fr
Sujet : Transposable elements in the invasive species Harmonia axyridis
Dates : 1er mars 2022 – 29 février 2024
Responsables CBGP : M. Gautier & A. Estoup 

Au cours de ce postdoc, Maria étudiera comment des éléments transposables ont pu intervenir dans l'adaptation d'Harmonia axyridis aux différentes vois d'invasion.

Le post-doctorat de Maria s’inscrit dans le cadre du projet ANR GANDHI porté par Arnaud Estoup (2021-2024) qui vise à caractériser les déterminants génomiques ayant favorisé l’invasion des populations de la coccinelle asiatique Harmonia axyridis sur une échelle mondiale. Il s’articulera plus spécifiquement autour de la caractérisation des variants structuraux et surtout des éléments transposables (ET) à partir de différents assemblages du génome de H. axyridis de haute qualité obtenus avec des séquences long-fragments (au moins 6 disponibles dont trois à une résolution chromosomique).

Il s’agira ensuite de comparer le contenu de différentes populations selon leur origine (aire native/aire envahie) à partir de données Pool-Seq disponibles ou en cours de production (une vingtaine de populations au total). Un des objectifs de cette étude est d’évaluer si le patron (que nous avons récemment observé chez D. suzukii) d’une augmentation du fardeau chez les populations invasives se retrouve chez H. axyridis, ce qui confirmerait l’importance de ce type de variants dans les processus invasifs.

En parallèle de ces analyses, des approches plus classiques d’inférence de l’histoire démographique (reconstruction des routes d’invasion avec des graphes d’admixture) et adaptative (recherche de signature sélection et analyse d’associations) des populations de H. axyridis seront aussi explorées en utilisant les données Pool-Seq mentionnées ci-dessus.