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Genome-wide association mapping of time-dependent growth responses to moderate drought stress in Arabidopsis.
Bac-Molenaar, Johanna A; Granier, Christine; Keurentjes, Joost J B; Vreugdenhil, Dick.
Afiliación
  • Bac-Molenaar JA; Laboratories of Plant Physiology and Genetics.
  • Granier C; Laboratoire d'Ecop0068ysiologie des Plantes sous Stress Environnementaux, UMR 759, Institut National de la Recherche Agronomique/Ecole Nationale Supérieure d'Agronomie, Place Viala, F-34060, Montpellier, Cedex 1, France.
  • Keurentjes JJ; Laboratory of Genetics.
  • Vreugdenhil D; Laboratory of Plant Physiology, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
Plant Cell Environ ; 39(1): 88-102, 2016 Jan.
Article en En | MEDLINE | ID: mdl-26138664
ABSTRACT
Large areas of arable land are often confronted with irregular rainfall resulting in limited water availability for part(s) of the growing seasons, which demands research for drought tolerance of plants. Natural variation was observed for biomass accumulation upon controlled moderate drought stress in 324 natural accessions of Arabidopsis. Improved performance under drought stress was correlated with early flowering and lack of vernalization requirement, indicating overlap in the regulatory networks of flowering time and drought response or correlated responses of these traits to natural selection. In addition, plant size was negatively correlated with relative water content (RWC) independent of the absolute water content (WC), indicating a prominent role for soluble compounds. Growth in control and drought conditions was determined over time and was modelled by an exponential function. Genome-wide association (GWA) mapping of temporal plant size data and of model parameters resulted in the detection of six time-dependent quantitative trait loci (QTLs) strongly associated with drought. Most QTLs would not have been identified if plant size was determined at a single time point. Analysis of earlier reported gene expression changes upon drought enabled us to identify for each QTL the most likely candidates.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Arabidopsis / Sitios de Carácter Cuantitativo / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Arabidopsis / Sitios de Carácter Cuantitativo / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2016 Tipo del documento: Article