Strawberry phenotypic plasticity in flowering time is driven by the interaction between genetic loci and temperature

© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Experimental Biology.

Bibliographische Detailangaben
Veröffentlicht in:Journal of experimental botany. - 1985. - 75(2024), 18 vom: 27. Sept., Seite 5923-5939
1. Verfasser: Prohaska, Alexandre (VerfasserIn)
Weitere Verfasser: Petit, Aurélie, Lesemann, Silke, Rey-Serra, Pol, Mazzoni, Luca, Masny, Agnieszka, Sánchez-Sevilla, José F, Potier, Aline, Gaston, Amèlia, Klamkowski, Krzysztof, Rothan, Christophe, Mezzetti, Bruno, Amaya, Iraida, Olbricht, Klaus, Denoyes, Béatrice
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Journal of experimental botany
Schlagworte:Journal Article Genotype×environment interaction (G×E) QTL-by-environment interaction (QEI) flowering time phenotypic plasticity quantitative trait locus (QTL) strawberry
Beschreibung
Zusammenfassung:© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Experimental Biology.
Flowering time (FT), which determines when fruits or seeds can be harvested, is subject to phenotypic plasticity, that is, the ability of a genotype to display different phenotypes in response to environmental variation. Here, we investigated how the environment affects the genetic architecture of FT in cultivated strawberry (Fragaria × ananassa) and modifies its quantitative trait locus (QTL) effects. To this end, we used a bi-parental segregating population grown for 2 years at widely divergent latitudes (five European countries) and combined climatic variables with genomic data (Affymetrix SNP array). Examination, using different phenological models, of the response of FT to photoperiod, temperature, and global radiation indicated that temperature is the main driver of FT in strawberry. We next characterized in the segregating population the phenotypic plasticity of FT by using three statistical approaches that generated plasticity parameters including reaction norm parameters. We detected 25 FT QTLs summarized as 10 unique QTLs. Mean values and plasticity parameter QTLs were co-localized in three of them, including the major 6D_M QTL whose effect is strongly modulated by temperature. The design and validation of a genetic marker for the 6D_M QTL offers great potential for breeding programs, for example selecting early-flowering strawberry varieties well adapted to different environmental conditions
Beschreibung:Date Completed 27.09.2024
Date Revised 29.09.2024
published: Print
Citation Status MEDLINE
ISSN:1460-2431
DOI:10.1093/jxb/erae279