EAGER: Phylogenomics

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。该项目将研究一种新的方法，用于产生大量高质量的DNA序列数据，用于基因组学应用。该项目将扩展一种名为“基于微阵列的基因组选择”（MGS）的策略，该策略能够在DNA样本中富集数千个基因，从而在远亲物种中同时富集。因此，这项研究有可能解决跨物种微阵列杂交（跨物种杂交）的剩余实际障碍，并导致MGS技术的规模大幅增加。这种规模的扩大将加快生命之树的组装，并加速在许多生物领域采用下一代DNA测序技术。青蛙是生物学中广泛使用的一个多样化群体，将成为这项研究的模型群体。这种新的基因组富集策略将通过实现两个主要目标来广泛扩展新测序技术的使用：1）构建显著更大、更便宜和时间效率更高的分子数据集，以及2）增加跨分类组共有的遗传标记的数量，这将允许生命之树的不同部分合并在一起。新的实验室程序和设计策略将通过网站和同行评审期刊发布，进一步将MGS富集策略传播到相关学科，如生物医学工程。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This project will investigate a novel method for producing large amounts of high-quality DNA sequence data for phylogenomic applications. The project will extend a strategy called "microarray-based genome selection" (MGS), which is capable of enriching a DNA sample for thousands of genes, to simultaneous enrichment across distantly related species. As a result, this study has the potential to address the remaining practical obstacles to microarray hybridization across species (cross-species hybridization) and result in hugely increased scaling of MGS technology. Such a scaling up will expedite the assembly of the Tree of Life and accelerate the adoption of next-geenration DNA sequencing technologies in many biological fields. Frogs, a diverse group broadly used in biology, will be the model group for this research.This new genomic enrichment strategy will broadly extend the use of new sequencing technologies by accomplishing two main goals: 1) construction of significantly larger, cheaper and time-efficient molecular datasets, and 2) increasing the number of genetic markers in common across taxonomic groups, which will allow different parts of the Tree of Life to be merged together. The new lab procedures and design strategies will be published via a website and in peer-reviewed journals, further disseminating the MGS enrichment strategy to related disciplines, such as biomedical engineering.