An 'omic' approach towards molecular diagnosis of resistance to auxinic herbicides in Corn poppy (Papaver rhoeas)

Autor: Koreki, Axelle, MERCHEZ, Jean-Yves, SCHMITZER, Paul, Pierron, Sylvain, Délye, Christophe
Přispěvatelé: Agroécologie [Dijon], Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Corteva agriscience, Guyancourt, France, Corteva agriscience, Indianapolis, USA, EL Mjiyad, Noureddine
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journée des doctorants UMR Agroécologie
Journée des doctorants UMR Agroécologie, Apr 2021, Virtuel, France
Popis: National audience; Papaver rhoeas (corn poppy) is a major, troublesome weed in winter crops. In conventionalagriculture, poppy control is essentially achieved through herbicide application. Followingintensive use of these substances, resistance has evolved in many poppy populations across itsrange in Europe. Among the herbicide modes of action concerned by resistance are auxinmimeticherbicides (HRAC group 4/O). Resistance to this mode of action has little beeninvestigated, and its determinants remain largely unknown. Literature data suggests that, whiletarget-site-based resistance exist, non-target-site-based resistance mechanisms may bepredominant. Target-site-based resistance to auxinic herbicides is likely oligogenic, while nontarget-site-based resistance is often a quantitative, polygenic trait. Thus, identifying the genesand alleles at the root of resistance to auxinic herbicides in poppy requires being able to scanvariation at the genome and/or transcriptome scale. Poppy not being a model species, nogenome or transcriptome resources were available for this species. To fill this gap, weestablished one reference genome and one reference transcriptome for poppy using a sensitiveplant for each reference sequence. These resources will be described herein, as well a wholetranscriptomeapproach (RNASeq) that we implemented to identify candidate resistance geneson the basis of differences in expression patterns between resistant and sensitive plants. Thisapproach will subsequently be extended and complemented by genome-wide associationstudies aiming at identifying additional genes or polymorphisms associated to resistance toauxinic herbicides. After validation, resistance-associated polymorphisms will be used formassive diagnosis of resistance to auxinic herbicides via high-throughput, molecular diagnosisassays.
Databáze: OpenAIRE