Genomics of trait canalization in tomato

番茄性状管道化的基因组学

• 批准号: 208417411
• 负责人: Professor Dr. Alisdair Fernie, Ph.D.
• 金额: --
• 依托单位: Abteilung Molekulare Physiologie höherer Pflanzen
• 依托单位国家: 德国
• 项目类别: DIP Programme
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/208417411?language=en
• 关键词: Genomics; trait; canalization; tomato

Plant development represents a balance between phenotypic robustness and flexibility (canalization) in response to genetic and environmental perturbations. In light of global climatic changes and the decreasing availability of usable water, maintaining our current crop production rate will depend on understanding the mechanisms that regulate phenotypic stability. We propose to develop a genomic perspective on trait canalization in tomato by focusing our phenotyping efforts on common genetic resources using a common ontology. We will explore canalization of cultivated tomato (Solanum lycopersicum) in comparison with Solanum pennellii, making use of previous and newly developed populations such as F2, introgression lines and backcross inbred lines. With these genetic resources, in homozygous and heterozygous states (in F1 hybrids), we will fine-map quantitative trait loci (QTL) and epistatic genomic regions for development, physiology, metabolism and yield. All data will be linked via ontology descriptors, map positions, and mode of inheritance of QTL, and uploaded to Phenom Networks, which is a WEB2 platform for statistical genomics of complex phenotypes. The ability to probe the phenotypic diversity in multiple genetic and environmental layers, combined with the available genome sequences of both parental species, will allow us to identify and clone QTL, genes and microRNAs that impact canalisation. This will enable breeding for yield stability as well as addressing the long-standing question on the genetic bases of the canalization stream that modulates phenotypes to follow a restricted path.

植物发育代表了表型稳健性和灵活性（渠道化）之间的平衡，以应对遗传和环境扰动。鉴于全球气候变化和可用水的减少，保持我们目前的作物生产率将取决于了解调节表型稳定性的机制。我们建议开发一个基因组的角度对性状渠化在番茄通过集中我们的表型的努力，共同的遗传资源，使用一个共同的本体。利用F2代、渐渗系和回交自交系等新一代群体，通过对栽培番茄（Solanum lycopersicum）与番茄（Solanum pennellii）的比较，探讨栽培番茄的渠化问题。有了这些遗传资源，在纯合和杂合状态下（F1杂种），我们将精细定位数量性状基因座（QTL）和上位性基因组区域，用于发育，生理，代谢和产量。所有数据将通过本体描述符、图谱位置和QTL的遗传模式链接，并上传到Phenom Networks，这是一个用于复杂表型统计基因组学的WEB2平台。在多个遗传和环境层中探测表型多样性的能力，结合两个亲本物种的可用基因组序列，将使我们能够识别和克隆影响渠化的QTL、基因和microRNA。这将使育种产量稳定，以及解决长期存在的问题上的遗传基础的渠流，调节表型遵循一个有限的路径。