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染色体进化的脆弱断裂与随机断裂模型。

The fragile breakage versus random breakage models of chromosome evolution.

作者信息

Peng Qian, Pevzner Pavel A, Tesler Glenn

机构信息

Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA.

出版信息

PLoS Comput Biol. 2006 Feb;2(2):e14. doi: 10.1371/journal.pcbi.0020014. Epub 2006 Feb 24.

Abstract

For many years, studies of chromosome evolution were dominated by the random breakage theory, which implies that there are no rearrangement hot spots in the human genome. In 2003, Pevzner and Tesler argued against the random breakage model and proposed an alternative "fragile breakage" model of chromosome evolution. In 2004, Sankoff and Trinh argued against the fragile breakage model and raised doubts that Pevzner and Tesler provided any evidence of rearrangement hot spots. We investigate whether Sankoff and Trinh indeed revealed a flaw in the arguments of Pevzner and Tesler. We show that Sankoff and Trinh's synteny block identification algorithm makes erroneous identifications even in small toy examples and that their parameters do not reflect the realities of the comparative genomic architecture of human and mouse. We further argue that if Sankoff and Trinh had fixed these problems, their arguments in support of the random breakage model would disappear. Finally, we study the link between rearrangements and regulatory regions and argue that long regulatory regions and inhomogeneity of gene distribution in mammalian genomes may be responsible for the breakpoint reuse phenomenon.

摘要

多年来,染色体进化的研究一直受随机断裂理论主导,该理论认为人类基因组中不存在重排热点。2003年,佩夫兹纳和特斯勒反对随机断裂模型,并提出了染色体进化的另一种“脆弱断裂”模型。2004年,桑科夫和丁反对脆弱断裂模型,并质疑佩夫兹纳和特斯勒是否提供了重排热点的任何证据。我们研究桑科夫和丁是否真的揭示了佩夫兹纳和特斯勒论点中的缺陷。我们表明,桑科夫和丁的同线性块识别算法即使在小的简单示例中也会做出错误识别,并且他们的参数不能反映人类和小鼠比较基因组结构的实际情况。我们进一步认为,如果桑科夫和丁解决了这些问题,他们支持随机断裂模型的论点就会消失。最后,我们研究重排与调控区域之间的联系,并认为哺乳动物基因组中长调控区域和基因分布的不均匀性可能是断点重用现象的原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f9/1422737/7059b2544abd/pcbi.0020014.g001.jpg

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