https://greener.list.lu/ 2026-08-18T12:03:59+00:00 https://greener.list.lu/ https://greener.list.lu/lib/exe/fetch.php?media=wiki:dokuwiki.svg text/html 2022-06-30T13:29:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://greener.list.lu/doku.php?id=project:dars&rev=1656595770&do=diff The DARS team (Adaptive Development of Rice and Sorghum) studies development mechanisms in rice and sorghum in relation to adaptation to climate change. Research objectives In rice, the team studies the formation and differentiation of the root cortex to improve water use efficiency through the formation of root aerenchyma, air cavities text/html 2023-12-13T09:44:43+00:00 Anonymous (anonymous@undisclosed.example.com) https://greener.list.lu/doku.php?id=project:objectives&rev=1702460683&do=diff Objectives and research hypothesis Floods have become more frequent, more severe in recent years in many parts of the world, a trend that is linked to ongoing climate change (FAO, 2015). Beyond their obvious impact on the affected populations, flood periods are responsible for significant crop losses, with most cereals being sensitive or even very sensitive to flooding with 60% of the total world crop loss for the 2003-2013 period (FAO, 2015) text/html 2023-12-13T09:42:28+00:00 Anonymous (anonymous@undisclosed.example.com) https://greener.list.lu/doku.php?id=project:specific_aims&rev=1702460548&do=diff Specific aims of the project To identify and validate TF involved in root differentiation in rice, we will adopt a three-step approach. A specific tissue transcriptome analysis for cortex tissues has been performed using Laser Capture Microdissection (LCM) technology to retrieve mRNAs, create and sequence RNAseq libraries before the beginning of the project. We have recently developed this technology (Partner 1) and obtained mRNAs in large quantities and of optimal quality (T. Mounier et al in … text/html 2023-12-13T09:44:43+00:00 Anonymous (anonymous@undisclosed.example.com) https://greener.list.lu/doku.php?id=project:state_of_the_art&rev=1702460683&do=diff Position of the project as it relates to the state of the art The mechanisms of formation of aerenchyma are not known, in particular genes involved in its initiation. Their identification would make it possible to understand how this adaptive mechanism to submergence, present in many flowering plant species, is implemented. This would also open up the possibility of developing new submergence-tolerant cereal species. Rice is the perfect model to identify these genes and mechanisms that are natur… text/html 2023-12-13T09:42:28+00:00 Anonymous (anonymous@undisclosed.example.com) https://greener.list.lu/doku.php?id=project:work_packages&rev=1702460548&do=diff WP1: Machine learning, Visual Analytics and Network Bioscience Automation Leaders: M. Ghoniem, M. Elati Participants: UL: W. Dhifli, J. Puig, A. Dispot, Post-doc; LIST: PhD 1; CIRAD: C. Périn, PhD 2, G. Droc General objectives: we propose to rationalize “root regulatory network biology” through a computational cycle composed of three building “blocks”: the inference (data-learn), interrogation (visual analytics-simulation) and intervention (design-test) with regulatory networks. Network inferen…