SPP 1149: Heterosis in Plants

优先计划的目标是调查高等植物杂种优势的原因和最佳利用。杂种优势发生的基本机制有待于利用拟南芥和重要作物基因组研究的现代工具在分子和生理水平上进行研究。此外，应在不同的系统水平上开发生物数学和计算机模型，以研究杂种优势发生的基因网络的复杂行为，并得出植物育种中杂种优势最佳利用的策略。具体的主题是：--在分子水平上分析与生长相关的性状的杂种优势现象; --证实用模式植物对相关和不相关作物物种获得的实验结果; --研究植物生理过程，这对理解杂种优势的分子基础具有根本重要性; --整合数量遗传学和分子研究方法来解释杂种优势;--开发新的生物信息学工具，对不同生物学水平的结果进行综合数据分析，以及解释杂种优势的综合模型;--发展育种策略和预测方法，以优化利用植物育种中的杂种优势。该计划主要针对高等植物中杂种优势现象的基本问题。植物使用先进的基因组分析工具。但杂种优势在植物育种中的应用问题也有待解决。为此，应扩展现有工具，并采用新的分子以及生物识别和生物信息学工具。

The goal of the Priority Programme is to investigate the causes and optimal exploitation of heterosis in higher plants. Basic mechanisms for occurrence of heterosis are to be investigated with modern tools from genomic research in Arabidopsis and important crops at the molecular and physiological level. In addition, biomathematical and computer models shall be developed at different system levels to investigate the complex behaviour of gene networks for the occurrence of heterosis and to derive strategies for optimal exploitation of heterosis in plant breeding. Specific topics are: -- analysis of the phenomenon of heterosis at the molecular level for growth-relevant traits; -- confirmation of experimental results obtained with model plants for related and unrelated crop species; -- investigation of plant physiological process with fundamental importance for understanding the molecular basis of heterosis; -- integration of quantitative genetic and molecular research approaches for explaining heterosis; -- development of new bioinformatic tools for a comprehensive data analysis of the results from the various biological levels as well as integrative models for explanation of heterosis; -- development of breeding strategies and prediction methods for optimal exploitation of heterosis in plant breeding.The programme is primarily targeted towards basic questions with regard to the phenomenon of heterosis in higher plants using advanced tools from genome analysis. However, application-oriented questions for exploitation of heterosis in plant breeding shall also be addressed. For this end, the currently available tools shall be extended and new molecular as well as biometric and bioinformatic tools shall be implemented.