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重建大规模基因组变化的历史:生物学问题与计算挑战。

Reconstructing the history of large-scale genomic changes: biological questions and computational challenges.

作者信息

Ma Jian

机构信息

Department of Bioengineering, Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.

出版信息

J Comput Biol. 2011 Jul;18(7):879-93. doi: 10.1089/cmb.2010.0189. Epub 2011 May 12.

Abstract

In addition to point mutations, larger-scale structural changes (including rearrangements, duplications, insertions, and deletions) are also prevalent between different mammalian genomes. Capturing these large-scale changes is critical to unraveling the history of mammalian evolution in order to better understand the human genome. It also has profound biomedical significance, because many human diseases are associated with structural genomic aberrations. The increasing number of mammalian genomes being sequenced as well as the recent advancement in DNA sequencing technologies are allowing us to identify these structural genomic changes with vastly greater accuracy. However, there are a considerable number of computational challenges related to these problems. In this article, we introduce the ancestral genome reconstruction problem, which enables us to explain the large-scale genomic changes between species in an evolutionary context. The application of these methods to within-species structural variation and disease genome analysis is also discussed. The target audience of this article is advanced undergraduate students in biology.

摘要

除了点突变外,不同哺乳动物基因组之间还普遍存在大规模的结构变化(包括重排、重复、插入和缺失)。捕捉这些大规模变化对于揭示哺乳动物进化史以更好地理解人类基因组至关重要。它还具有深远的生物医学意义,因为许多人类疾病与结构基因组畸变有关。越来越多的哺乳动物基因组被测序以及DNA测序技术的最新进展使我们能够以更高的准确性识别这些结构基因组变化。然而,与这些问题相关的计算挑战相当多。在本文中,我们介绍了祖先基因组重建问题,它使我们能够在进化背景下解释物种间的大规模基因组变化。还讨论了这些方法在种内结构变异和疾病基因组分析中的应用。本文的目标读者是生物学专业的高年级本科生。

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