Integrating genetics and high throughput genomics to indentify genes underlying tomato quantitative trait loci (QTL) for metabolites that influence fruit quality (TomQML)

主要目的是了解控制番茄果实品质性状的初级和次生代谢物形成的分子机制。在目前的项目中，我们将结合最先进的高通量基因组学技术和数量遗传学来快速鉴定番茄代谢产物QTL的基因。产生的知识将用于利用自然变异，造福欧洲消费者。其技术目标是：1.解析先前确定的代谢物QTL，以确定含有感兴趣性状的最小基因组区域。在亚IL和QTL-NIL分辨率下整合转录和代谢数据，用于候选基因选择，促进表型基因的识别。绘制候选基因图谱和基于NIAP的QTL克隆，以确定代谢物变化的潜在分子基础。通过VIGS、TILLING和RNAi对候选基因进行功能分析，阐明它们的作用方式和影响TRAINS的能力。调查野生物种关键成熟基因的等位基因多样性，以识别和利用适合现代分子育种应用的自然变异。

The principal objective is to understand the molecular mechanisms controlling the formation of primary and secondary metabolites responsible for tomato fruit quality traits. In the current project we will combine state of the art high throughput genomics technology with quantitative genetics for rapid identification of genes underlying tomato metabolite QTL. The knowledge generated will be used to-harness natural Variation for the benefit of the European consumer. The technical objectives are:1. Resolve previously identified metabolite QTL to determine minimal genomic regions harbouring the traits of interest.2. Integration of transcriptomic and metabolomic data at sub-IL and QTL-NIL resolution for candidate gene selection, facilitating the Identification of genes underlying phenotypes.3. Map candidate genes and niap-based cloning of QTLs to identify the potential molecular basis of metabolite changes4. Functional analysis of candidate genes by VIGS, TILLING and RNAi to elucidate their mode of action and ability to influence traits.5. Survey allelic diversity of key ripening genes across wild species to identify and harness natural variation suitable for modern molecular breeding applications.