Mapping non-targeted-site resistance to herbicides in Spirodela polyrhiza (MapNTSR)

Basic data for this project

Type of projectIndividual project
Duration at the University of Münster01/10/2019 - 31/03/2022 | 1st Funding period

Description

Adaptive evolution of plants to environmental change – either natural or human-mediated - shaped the global biodiversity and can profoundly affect the development of human societies. A classic example is the rapid increase of herbicide resistance in weeds, which threatens worldwide crop yields. The mechanisms of herbicide resistance mechanisms are classified into two types: target-site resistance (TSR), which is caused by changes in the herbicide target protein, and non-target site resistance (NTSR), which includes all other mechanisms. Recent studies suggested that NTSRs arises from standing genetic variations that are associated with adaptation to natural stresses. However, due to the lack of a suitable model system in which the detailed molecular mechanisms and ecological functions of NTSR can be characterized, this hypothesis remains largely unexamined. Here, we will use the giant duckweed, Spirodela polyrhiza, as a model system to investigate the resistance to glyphosate and diquat, two extensively used herbicides, which are considered to be predominantly caused by NTSR. We will combine a genome-wide association approach and gene co-expression network analyses to identify the genetic basis underlying the resistance. Furthermore, using a state-of-the-art genome editing tool (CRISPR/Cas9), we will manipulate the identified candidate genes and investigate the underlying molecular mechanisms of the NTSR in the giant duckweed. Additionally, we will evaluate to what extent changes of the genes involved in NTSR affect the resistance to natural stresses. This integrative study will bridge a knowledge gap in understanding the molecular mechanisms, processes and consequences of adaptation to herbicides and facilitate the development of new strategies to improve weed management.

KeywordsMolekulare und Organismische Biologie; Evolution; Biodiversität; Evolutionsökologie; Pflanzen
DFG-Gepris-IDhttps://gepris.dfg.de/gepris/projekt/427577435
Funding identifierXU 192/2-1 | DFG project number: 427577435
Funder / funding scheme
  • DFG - Individual Grants Programme

Project management at the University of Münster

Xu, Shuqing
Professorship of evolutionary ecology of plants (Prof. Xu)

Applicants from the University of Münster

Xu, Shuqing
Professorship of evolutionary ecology of plants (Prof. Xu)