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 Agrocampus Ouest Rennes 1 University

Home page

P-Aphid

Identification and characterization of compatibility and incompatibility factors in plants and aphids

P-Aphid

Research

Context and Issues
Aphids are serious pests of many cultivated crops and mainly managed by application of pesticides. Pesticides can be harmful to the environment and human health, and many aphid species have developed resistance mechanisms against insecticides; therefore, alternative methods for aphid control are required.

Objectives
To develop durable aphid control strategies while reducing pesticide use, it is necessary to create more knowledge on plant-aphid interactions and select or construct aphid resistant crops efficiently. This project takes advantage of well-developed pea aphid (Acyrthosiphon pisum) system to study plant-aphid interactions at a molecular level. More specifically, we will examine A. pisum biotypes and host legume interactions to identify and characterize the compatibility and incompatibility factors in both aphids and plants and examine the plant signalling pathways involved in the interactions. A. pisum biotypes are specialized to feed on one or a few legume species only (compatible hosts) and cannot perform well on the other legumes (incompatible hosts). We hypothesize that plant-aphid interactions are analogous to plant-microbial pathogen interactions: aphid salivary proteins might function like effectors with virulence and avirulence functions, and their interactions with certain plant proteins determine the success of the aphids. We further hypothesize that aphid salivary proteins with biotype specific expression pattern or amino acid sequence can be the effectors involved in the determination of compatibility with specific plants and wish to test these hypotheses.

Methodology
Based on the analyses of genome re-sequencing and transcriptomic analyses, we have already identified some candidate salivary effector genes that may be involved in the aphid adaptation to their specific host plants. We would like to characterize those genes and envisage identifying their plant targets using protein-protein interactions. To directly identify the plant factors involved in aphid interactions, we have screened 240 re-sequenced Pisum sativum accessions with pea adapted and non-adapted A. pisum lines and observed a range of resistance and susceptibility. In this project, based on the already acquired data, we would like to conduct genome wide association study (GWAS) and identify the loci involved in plant resistance or susceptibility. We will also select accessions with extreme resistance/susceptible phenotype and conduct metabolomics and transcriptomics to identify the signalling pathways involved in the interactions with aphids. Furthermore, we aim to screen P. sativum mutants by TILLING to find the mutants of key resistance pathways, effector targets and resistant genes. We will test their interactions with A. pisum biotypes and examine the induction of genes and accumulation of metabolites. By the end of the project, we will produce valuable data and materials useful for both fundamental and applied researches and create the knowledge that can contribute to select or create aphid resistant crops.

Collaborations

  • INRA IPS2, Institut des Sciences des Plantes Paris Saclay : Marion Dalmais and Abdelhafid Bendahmane
  • INRA Dijon UMR 1347 Agroécologie: Richard Thompson and Christine Le-Signor
  • Max Planck Institute for Chemical Ecology, Germany: Grit Kunert and Jonathan Gershenzon
  • Maynooth University, Ireland: James Carolan

 Funding and Support: ANR