EAGER: PLATE-seq: Development and Optimization of a New, Massively Parallel Sequencing Technology to Enable the Construction of a Fully-Sequenced Single-Colony Rice ORFeome

EAGER：PLATE-seq：开发和优化新型大规模并行测序技术，以构建全测序单菌落水稻 ORFeome

• 批准号: 1639075
• 负责人: Haiyuan Yu
• 金额: $ 29.56万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1639075&HistoricalAwards=false
• 关键词: EAGER; PLATE; seq; Development; Optimization

With the rapid development of next-generation sequencing technologies, the genome sequences of over 80 different plant species are available with several hundreds to thousands of individual plants within a species currently being sequenced. While the genome sequences provide the "parts lists" for tens of thousands of protein-coding genes in each species, the vast majority of genes in most plant species remain to be functionally annotated, which has become a major bottleneck for the whole plant biology field. A prerequisite for any effort to determine the functions of proteins on a genome-wide scale requires the construction of a set or library of bacterial clones with inserts representing only the protein coding regions or open reading frames (ORFs) of genes. These libraries are often referred to as an ORFeome. A significant hurdle for constructing an ORFeome library is that tens of thousands of clones must be sequenced individually, making the process extremely labor-intensive and cost-prohibitive since next-generation sequencing (NGS) technologies cannot be applied directly. This EAGER project aims to develop a massively parallel sequencing technology, called PLATE-seq (PCR mediated linkage of barcoded adapters to nucleic acid elements for sequencing), which will drastically increase the throughput and reduce the cost of large-scale sequencing efforts. As part of the proof-of-concept and to demonstrate the utility of PLATE-seq, the project will construct the first fully-sequenced single-colony rice (Oryza sativa, cv. Nipponbare) ORFeome library for ~3,000 genes. This EAGER project is interdisciplinary in nature and represents a mid-career reorientation of research interest into the field of plant science for the Principal Investigator, and will provide research training for undergraduate and graduate students in Science, Technology, Engineering and Mathematics (STEM) majors. All protocols will be accessible through publications, seminars, and training workshops. In addition, all ORF clones, E. coli and yeast strains, computational tools, and sequence data generated in association with this project will be made openly available.Next-generation sequencing technologies require mixing tens of thousands of samples together to be sequenced en masse. Multiplexing strategies offer a partial solution to the need to track individual samples, but can be prohibitively expensive when sequences need to be matched to thousands of individual samples, which is the case for constructing an ORFeome library. For this reason, large-scale Sanger sequencing, albeit extremely expensive, is still necessary for many such applications. The PLATE-seq platform is based on an innovative but unproven design which requires large-scale nested stitch PCRs from thousands of E. coli or yeast colonies where the use of ~150 bp double-stranded DNA as a primer in one of the steps can significantly decrease the PCR efficiency. If successful, PLATE-seq technology will completely replace the need for large-scale Sanger sequencing, predicted to improve sequencing efficiency of ORFeome libraries ~1,000-fold over existing multiplexing NGS approaches, and even more so compared to traditional Sanger sequencing. For this reason, PLATE-seq has tremendous implications not only for constructing ORFeome libraries, but also for many functional genomics and reverse proteomics applications where it is essential that sequencing reads be traced back to individual samples, or where associations between samples need to be tracked such as in yeast two-hybrid (Y2H) or other genetic screens where pairs of DNA molecules are selected and identified.

随着下一代测序技术的快速发展，超过80种不同植物物种的基因组序列可用，目前正在测序的物种中有数百至数千株植物个体。虽然基因组序列为每个物种提供了成千上万个蛋白质编码基因的“零件清单”，但大多数植物物种中的绝大多数基因仍有待功能注释，这已成为整个植物生物学领域的主要瓶颈。在全基因组范围内确定蛋白质功能的任何努力的先决条件是需要构建一组或一个细菌克隆文库，其中插入物仅代表蛋白质编码区或基因的开放阅读框（ORF）。 这些文库通常被称为ORFeome。 构建ORFeome文库的一个重要障碍是必须对数万个克隆进行单独测序，这使得该过程非常劳动密集且成本高昂，因为下一代测序（NGS）技术不能直接应用。EAGER项目旨在开发一种大规模平行测序技术，称为PLATE-seq（PCR介导的条形码衔接子与核酸元件的连接，用于测序），这将大大提高通量并降低大规模测序工作的成本。作为概念验证的一部分，并展示PLATE-seq的实用性，该项目将构建第一个完全测序的单菌落水稻（Oryza sativa，cv. Nipponbare）ORFeome文库，约3，000个基因。这个EAGER项目是跨学科的性质，代表了主要研究者对植物科学领域的研究兴趣的职业中期重新定位，并将为科学，技术，工程和数学（STEM）专业的本科生和研究生提供研究培训。所有协议都将通过出版物、研讨会和培训讲习班提供。此外，所有ORF克隆，E.大肠杆菌和酵母菌株、计算工具以及与该项目相关的测序数据将公开提供。下一代测序技术需要将数万个样本混合在一起进行测序。多路复用策略为追踪单个样品的需要提供了部分解决方案，但是当序列需要与数千个单个样品匹配时，其可能过于昂贵，这是构建ORFeome文库的情况。出于这个原因，大规模桑格测序，尽管非常昂贵，仍然是许多这样的应用所必需的。PLATE-seq平台基于一种创新但未经证实的设计，该设计需要来自数千个大肠杆菌的大规模嵌套式PCR。大肠杆菌或酵母菌菌落，其中在一个步骤中使用~150 bp双链DNA作为引物可显著降低PCR效率。如果成功，PLATE-seq技术将完全取代对大规模桑格测序的需求，预计将使ORFeome文库的测序效率比现有的多重NGS方法提高约1,000倍，与传统的桑格测序相比甚至更高。出于这个原因，PLATE-seq不仅对构建ORFeome文库具有巨大的影响，而且对许多功能基因组学和反向蛋白质组学应用也具有巨大的影响，其中测序读数必须追溯到单个样品，或者需要跟踪样品之间的关联，例如在酵母双杂交（Y2 H）或其他遗传筛选中，其中选择和鉴定DNA分子对。