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量化避免“伊甸园基因组”所需的横向基因转移程度。

Quantifying the extent of lateral gene transfer required to Avert a 'genome of Eden'.

机构信息

Department of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.

出版信息

Bull Math Biol. 2010 Oct;72(7):1783-98. doi: 10.1007/s11538-010-9506-7. Epub 2010 Jan 20.

Abstract

The complex pattern of presence and absence of many genes across different species provides tantalising clues as to how genes evolved through the processes of gene genesis, gene loss, and lateral gene transfer (LGT). The extent of LGT, particularly in prokaryotes, and its implications for creating a 'network of life' rather than a 'tree of life' is controversial. In this paper, we formally model the problem of quantifying LGT, and provide exact mathematical bounds, and new computational results. In particular, we investigate the computational complexity of quantifying the extent of LGT under the simple models of gene genesis, loss, and transfer on which a recent heuristic analysis of biological data relied. Our approach takes advantage of a relationship between LGT optimization and graph-theoretical concepts such as tree width and network flow.

摘要

不同物种中许多基因的存在和缺失的复杂模式为基因通过基因发生、基因丢失和横向基因转移(LGT)的过程进化提供了诱人的线索。LGT 的程度,特别是在原核生物中,以及它对创建“生命网络”而不是“生命之树”的影响是有争议的。在本文中,我们正式对 LGT 的量化问题进行建模,并提供了精确的数学边界和新的计算结果。特别是,我们研究了在基因发生、丢失和转移的简单模型下量化 LGT 程度的计算复杂性,这是最近对生物数据进行启发式分析所依赖的模型。我们的方法利用了 LGT 优化与图论概念(如树宽和网络流)之间的关系。

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