DIGIT-BIO metaprogramme

DIGIT-BIO

Digital biology to understand and predict biological systems

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article

03 February 2026

By: Marjorie Domergue

Mechanoperception of Wind as a Modulator of Plant Immunity and Plant–Microorganism Interactions

Thesis by Adèle Coppel (2025 - 2028, LIPME). The objective of this PhD project is to investigate, through modelling approaches, the role of wind in the modulation of plant immune responses and to identify molecular actors involved in the variability of resistance associated with acclimation and sensitization.
Illustration thèse confinancée

Thesis by Julien Kossi Kowou (2025 - , UMR GABI). This PhD project aims to develop statistical analysis methods to explore inter-species genetic diversity.

Photo d'un puceron © wirestock, Freepik

The pressures exerted on plants by insect pests such as aphids are increasing, as are the viral diseases they carry. The changing climate, reduced insecticide use and the development of resistance to those pesticides that are still authorized have all conspired to boost the life cycle and population dynamics of these pests. With the need to reduce insecticide use, new agro-ecological approaches have emerged in recent decades that use crop genetic diversity as a tool to modify aphid behaviors or performance. To be effective, such approaches require the accurate characterization of plant genetic diversity, yet there is currently no open, high-performance, standardized and affordable phenotyping system available to developers of future applications. The aim of the Gratitude consortium is to fill this gap by developing a digital plant-aphid system that can characterize aphid development and behavior.

Photo de chenille du maïs © INRAE, Buisson Christophe

How caterpillars perceive gravity is still not known. However, an evolutionary adaptation in the caterpillars of the European corn borer enables these larvae to use gravity information to move down the cob and thus avoid being killed during harvesting. The main aim of this project is to understand how caterpillars use gravity information to orient their movement.

Our goals

The quantitative and qualitative explosion of data in biology, combined with the development of new tools for processing and analysing these data, is revolutionising research in the life sciences. This development opens up new perspectives for better understanding the functioning of biological systems and predicting their behaviour.

The metaprogramme Digit-Bio aim to support research at the interface between computational / engineering sciences and life sciences (biology, physics, chemistry or environmental sciences), in order to:

  • Understand the functioning and predict the behaviour of biological systems
  • Anticipate the impact of stresses on these systems, reason out their management and develop levers for action.  In the medium term, the ambition is to develop a small number of projects for in silico monitoring of biological systems, based on the concept of the "digital twin".

 

Axis schématic DIGIT-BIO © INRAE
© INRAE