Mapping genetic and cellular interactions during growth of a simple plant system

绘制简单植物系统生长过程中遗传和细胞相互作用的图谱

• 批准号: BB/T007117/1
• 负责人: James Haseloff
• 金额: $ 72.32万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FT007117%2F1
• 关键词: Mapping; genetic; cellular; interactions; during

Global agriculture is founded on a few crop species, the earliest of which were domesticated by Neolithic farmers. They have been subject to selection and breeding for millennia, to produce plant forms with better agronomic traits. Many of the genetic changes associated with crop domestication have been mapped precisely, to relatively few genes. These plant varieties now produce billions of tonnes of food, materials and chemicals each year. Today, radical changes are underway for engineering of plants. New gene editing techniques have allowed genetic engineers to recapitulate ancient traits and transfer them to new species. We face the prospect of being able to systematically reprogram the growth and final form of any plant, and harness the functional diversity of plant species that have not been domesticated. But, while we have evermore-facile access to the DNA code that must be used to reprogram plant systems, the interconnections between genetic code, regulatory networks, cells and physical processes that drive emergent patterns of plant growth and form - remain ill-defined and out-of-reach for biological engineers. This proposal aims exploit a uniquely simple plant system to tackle the challenge of better understanding growth. We will use Marchantia polymorpha gemmae as a model system for direct visualisation of apical growth and manipulation of regulatory dynamics at different, interacting scales of molecules, cells, tissues and organism. We will separate interacting components using laser microscopy, in order to map functional imnteractions between cells. In addition, we are generating new markers for gene expression, and will use these to draw connections between gene activities and cell interactions.

全球农业建立在几种农作物上，其中最早是由新石器时代农民驯化的。他们一直在选择和繁殖数千年，以产生具有更好的农艺特征的植物形式。与农作物驯化相关的许多遗传变化已被精确映射到相对较少的基因。这些植物品种现在每年生产数十亿吨的食物，材料和化学物质。如今，正在进行植物工程的根本变化。新的基因编辑技术使遗传工程师可以概括古代性状并将其转移到新物种中。我们面临能够系统地重新编程任何植物的生长和最终形式的前景，并利用尚未被驯化的植物物种的功能多样性。但是，尽管我们不断地使用用于重新编程植物系统的DNA代码，但遗传密码，调节网络，细胞和物理过程之间的互连驱动了植物生长和形式的新兴模式，但仍是生物工程师的明确定义且不受欢迎的。该建议旨在利用独特的简单植物系统来应对更好地理解增长的挑战。我们将使用Marchantia Polymorpha Gemmae作为模型系统，用于直接可视化根尖生长和操纵分子，细胞，组织和生物体的不同相互作用量表的调节动力学。我们将使用激光显微镜分离相互作用的组件，以绘制细胞之间的功能性imnteractions。此外，我们正在生成用于基因表达的新标记，并将使用这些标记来在基因活性和细胞相互作用之间建立联系。

项目成果

Construction of DNA Tools for Hyperexpression in Marchantia Chloroplasts.

• DOI: 10.1021/acssynbio.0c00637
• 发表时间: 2021-07-16
• 期刊: ACS synthetic biology
• 影响因子: 4.7
• 作者: Frangedakis E;Guzman-Chavez F;Rebmann M;Markel K;Yu Y;Perraki A;Tse SW;Liu Y;Rever J;Sauret-Gueto S;Goffinet B;Schneider H;Haseloff J
• 通讯作者: Haseloff J

MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha.

MarpolBase Expression：基于 Web 的综合平台，用于地钱地钱转录组的可视化和分析。

• DOI: 10.17863/cam.88913
• 发表时间: 2022
• 作者: Kawamura S

MarpolBase Expression: A Web-based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha

MarpolBase Expression：基于网络的综合平台，用于地钱地钱转录组的可视化和分析

• DOI: 10.1101/2022.06.03.494633
• 发表时间: 2022
• 作者: Kawamura S

Mapping the landscape of transcription factor promoter activity during vegetative development in Marchantia

• DOI: 10.1101/2023.06.17.545419
• 发表时间: 2023-06
• 期刊: bioRxiv
• 作者: Facundo Romani;Susanna Sauret-Güeto;M. Rebmann;D. Annese;Ignacy Bonter;Marta Tomaselli;Tom Dierschke;Mihails Delmans;Eftychios Frangedakis;Linda Silvestri;Jenna Rever;J. Bowman;Ignacio Romani;J. Haseloff