BLOOM-NET

布卢姆网

基本信息

批准号：
BB/G024995/1
负责人：
Brendan Davies
金额：
$ 36.27万
依托单位：
University of Leeds
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2009
资助国家：
英国
起止时间：
2009 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FG024995%2F1
关键词：
BLOOM NET

项目摘要

The transition from vegetative to generative development is of fundamental agricultural importance, because flowers are essential for breeders and the ornamental industry and are prerequisites for fruit and seed formation, which form the major source of human and animal food. This importance has resulted in the floral transition being extensively studied, and most key regulators have been identified. The current challenge is to understand how these factors act together to integrate the various external and internal signals into one apparently simple output: the formation of flowers at the optimal time. The overall aim of this project is to define the complex regulatory network that acts in the shoot apical meristem (SAM) to regulate the time of the transition to flowering, and to model quantitative and dynamic changes in this network during the floral transition. For this purpose, we will focus on an important set of key regulators that belong to the MADS-box transcription factor family, and that function either as repressors or inducers of the floral transition. Sophisticated genomic tools, such as genome-wide Chromatin Immunoprecipitation (ChIP), high-throughput Illumina/Solexa sequencing, and Surface Plasmon Resonance (SPR), will be applied to generate comprehensive and quantitative data sets, concerning MADS-box protein expression levels, phenotypic output, in vivo target gene promoter occupancy and their protein-protein interaction affinities. Furthermore, the SAM transcriptome will be investigated during the very early stages of floral induction and correlated with the ChIP data. The generation of quantitative data will allow us to parameterize a mathematical model for floral timing, which will lead to novel hypotheses that subsequently can be tested and experimentally validated and refined. To this end, we have compiled a consortium comprising of four different wet-lab research groups and one bioinformatics group, who will collaborate closely to meet the objectives of the programme. The groups are either experts in flowering research, or pioneers in one of the proposed technologies. The incorporation of quantitative data into a regulatory network model will give an insight into general transcriptional control and in particular into the complex regulatory network behind floral timing. Furthermore, we foresee that the outcome will be of general interest and offer applications for breeders and plant growers in the future.

从营养发展到生成性发展的过渡至关重要，因为鲜花对育种者和观赏工业至关重要，并且是水果和种子形成的先决条件，构成了人类和动物食品的主要来源。这种重要性导致了花卉过渡的广泛研究，并且已经确定了大多数关键调节器。当前的挑战是了解这些因素如何将各种外部和内部信号整合到一个明显简单的输出中：在最佳时间内形成花。该项目的总体目的是定义在芽顶分生组织中作用的复杂调节网络（SAM），以调节过渡到开花的时间，并在花卉过渡期间模拟该网络中该网络中的定量和动态变化。为此，我们将重点关注属于MADS-Box转录因子家族的一组重要的关键调节器，并且该功能是作为花卉过渡的阻遏物或诱导者的功能。 Sophisticated genomic tools, such as genome-wide Chromatin Immunoprecipitation (ChIP), high-throughput Illumina/Solexa sequencing, and Surface Plasmon Resonance (SPR), will be applied to generate comprehensive and quantitative data sets, concerning MADS-box protein expression levels, phenotypic output, in vivo target gene promoter occupancy and their protein-protein interaction affinities.此外，将在花卉诱导的早期阶段研究SAM转录组，并与芯片数据相关。定量数据的生成将使我们能够为花序计时的数学模型参数化，这将导致新的假设，随后可以测试并通过实验验证和精制。为此，我们汇编了一个由四个不同的湿lab研究小组和一个生物信息学小组组成的财团，他们将密切合作以实现该计划的目标。这些小组是开花研究专家，或者是拟议技术之一的先驱。将定量数据纳入监管网络模型将深入了解一般的转录控制，尤其是在花卉时机背后的复杂调节网络中。此外，我们预见结果将在将来为育种者和植物种植者提供普遍兴趣，并为申请提供申请。