Visualizing the Genetic Landscape of Arabidopsis Seed Performance

• Published in: Plant physiology (Bethesda) 2012-02, Vol.158 (2), p.570-589
• Main Authors: Joosen, Ronny Viktor Louis, Arends, Danny, Willems, Leo Albert Jan, Ligterink, Wilco, Jansen, Ritsert C., Hilhorst, Henk W.M.
• Format: Article
• Language: English
• Subjects: abscisic-acid; Arabidopsis - embryology; Arabidopsis - genetics; Arabidopsis thaliana; Bioinformatics; Biological and medical sciences; Chromosomes; complex traits; controlling root-growth; Dormancy; environmental covariables; Epistasis, Genetic; Fundamental and applied biological sciences. Psychology; Genes, Plant; Genetic loci; Genetic variation; Germination; heterogeneous inbred family; line population; natural allelic variation; Phenotypic traits; Plant physiology and development; Plants; qtl analysis; Quantitative Trait Loci; Seed germination; Seeds; Seeds - physiology; thaliana
• ISSN: 0032-0889; 1532-2548; 1532-2548
• DOI: 10.1104/pp.111.186676

Perfect timing of germination is required to encounter optimal conditions for plant survival and is the result of a complex interaction between molecular processes, seed characteristics, and environmental cues. To detangle these processes, we made use of natural genetic variation present in an Arabidopsis (Arabidopsis thaliana) Bayreuth X Shahdara recombinant inbred line population. For a detailed analysis of the germination response, we characterized rate, uniformity, and maximum germination and discuss the added value of such precise measurements. The effects of after-ripening, stratification, and controlled deterioration as well as the effects of salt, mannitol, heat, cold, and abscisic acid (ABA) with and without cold stratification were analyzed for these germination characteristics. Seed morphology (size and length) of both dry and imbibed seeds was quantified by using image analysis. For the overwhelming amount of data produced in this study, we developed new approaches to perform and visualize high-throughput quantitative trait locus (QTL) analysis. We show correlation of trait data, (shared) QTL positions, and epistatic interactions. The detection of similar loci for different stresses indicates that, often, the molecular processes regulating environmental responses converge into similar pathways. Seven major QTL hotspots were confirmed using a heterogeneous inbred family approach. QTLs colocating with previously reported QTLs and well-characterized mutants are discussed. A new connection between dormancy, ABA, and a cripple mucilage formation due to a naturally occurring mutation in the MUCILAGE-MODIFIED2 gene is proposed, and this is an interesting lead for further research on the regulatory role of ABA in mucilage production and its multiple effects on germination parameters.