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.

Highlights

  • IntroductionIn a landmark paper in 1984, Nadeau and Taylor [1] estimated that there are approximately 200 conserved segments (synteny blocks) between human and mouse and provided convincing arguments in favor of the random breakage model of genomic evolution postulated by Ohno in 1973 [2]

  • Measuring the Breakpoint Reuse Rate We study synteny blocks instead of conserved segments

  • This paper studies the question of whether this offset is large enough to create an appearance of a large breakpoint reuse even in the random breakage model

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Summary

Introduction

In a landmark paper in 1984, Nadeau and Taylor [1] estimated that there are approximately 200 conserved segments (synteny blocks) between human and mouse and provided convincing arguments in favor of the random breakage model of genomic evolution postulated by Ohno in 1973 [2]. Further studies of significantly larger datasets (Copeland et al in 1993 [3], DeBry and Seldin in 1996 [4], Burt et al in 1999 [5], Lander et al in 2001 [6], Mural et al in 2002 [7]) with progressively increasing levels of resolution made the random breakage model the de facto theory of chromosome evolution and the Nadeau-Taylor predictions are viewed as among the most significant results in ‘‘the history and development of the mouse as a research tool’’ (Pennisi [8])

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