EAGER: Genome construction in non-model organisms using recombinant populations

EAGER：使用重组群体在非模式生物中构建基因组

• 批准号: 1249633
• 负责人: Matthew Hahn
• 金额: $ 25.39万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1249633&HistoricalAwards=false
• 关键词: EAGER; Genome; construction; non; model

Whole genome sequence information has transformed research in traditional model organisms, and now next-generation sequencing technology is at a turning point in its application to non-model organisms. Researchers working in data-rich, but sequence-poor, organismal systems are eager to apply these technologies to their own species. However, the challenges involved in generating useful, high quality, whole genome sequences in these naive systems are substantial. Non-model systems can have many biological features that directly hamper genome assembly, and therefore suffer from limited capacity to benefit from genomic tools. This research aims to develop a new approach to genome assembly, one that combines next-generation sequencing with recombinant populations made using genetic crosses between individuals. If the full potential of the method can be demonstrated, it will bring the power of genome-enabled science within reach of a large range of non-model organisms.A tremendous amount of biological knowledge lies hidden within the genetic make-up of every organism on earth. The secrets of these organisms potentially hold the keys to understanding the origins of biodiversity and the answers to many other biological puzzles. This research will provide new tools that can be used to unlock the genetic information contained within any species. The methods developed will therefore be of great benefit to a large number of researchers.

整个基因组序列信息已改变了传统模型生物的研究，现在下一代测序技术正处于其对非模型生物的应用。从事数据丰富的研究人员，但有机系统序列贫困的有机系统渴望将这些技术应用于自己的物种。但是，在这些天真的系统中产生有用的，高质量的整个基因组序列所涉及的挑战是巨大的。非模型系统可以具有许多直接阻碍基因组组装的生物学特征，因此受益于基因组工具的能力有限。 这项研究旨在开发一种新的基因组组装方法，该方法将下一代测序与使用个体之间的遗传杂交进行的重组种群结合在一起。 如果能够证明该方法的全部潜力，它将带来基因组科学的力量，在各种非模型生物体的范围内。大量的生物学知识隐藏在地球上每个生物体的基因组成中。 这些生物的秘密可能是了解生物多样性的起源以及许多其他生物难题的答案的关键。 这项研究将提供新工具，可用于解锁任何物种中包含的遗传信息。 因此，开发的方法将对大量研究人员有很大的好处。