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Dynamic growth QTL action in diverse light environments: characterization of light regime-specific and stable QTL in Arabidopsis.
Meyer, Rhonda C; Weigelt-Fischer, Kathleen; Tschiersch, Henning; Topali, Georgia; Altschmied, Lothar; Heuermann, Marc C; Knoch, Dominic; Kuhlmann, Markus; Zhao, Yusheng; Altmann, Thomas.
Afiliación
  • Meyer RC; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Weigelt-Fischer K; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Tschiersch H; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Topali G; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Altschmied L; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Heuermann MC; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Knoch D; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Kuhlmann M; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Zhao Y; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Breeding Research, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
  • Altmann T; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
J Exp Bot ; 74(17): 5341-5362, 2023 09 13.
Article en En | MEDLINE | ID: mdl-37306093
Plant growth is a complex process affected by a multitude of genetic and environmental factors and their interactions. To identify genetic factors influencing plant performance under different environmental conditions, vegetative growth was assessed in Arabidopsis thaliana cultivated under constant or fluctuating light intensities, using high-throughput phenotyping and genome-wide association studies. Daily automated non-invasive phenotyping of a collection of 382 Arabidopsis accessions provided growth data during developmental progression under different light regimes at high temporal resolution. Quantitative trait loci (QTL) for projected leaf area, relative growth rate, and PSII operating efficiency detected under the two light regimes were predominantly condition-specific and displayed distinct temporal activity patterns, with active phases ranging from 2 d to 9 d. Eighteen protein-coding genes and one miRNA gene were identified as potential candidate genes at 10 QTL regions consistently found under both light regimes. Expression patterns of three candidate genes affecting projected leaf area were analysed in time-series experiments in accessions with contrasting vegetative leaf growth. These observations highlight the importance of considering both environmental and temporal patterns of QTL/allele actions and emphasize the need for detailed time-resolved analyses under diverse well-defined environmental conditions to effectively unravel the complex and stage-specific contributions of genes affecting plant growth processes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arabidopsis / Sitios de Carácter Cuantitativo Tipo de estudio: Prognostic_studies Idioma: En Revista: J Exp Bot Asunto de la revista: BOTANICA Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arabidopsis / Sitios de Carácter Cuantitativo Tipo de estudio: Prognostic_studies Idioma: En Revista: J Exp Bot Asunto de la revista: BOTANICA Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido