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Modeling meiotic chromosomes indicates a size dependent contribution of telomere clustering and chromosome rigidity to homologue juxtaposition

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Penfold, Christopher A., Brown, Paul E., Lawrence, Neil (Neil D.) and Goldman, Alastair S. H.. (2012) Modeling meiotic chromosomes indicates a size dependent contribution of telomere clustering and chromosome rigidity to homologue juxtaposition. PLoS Computational Biology, Vol.8 (No.5). e1002496. ISSN 1553-7358

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Official URL: http://dx.doi.org/10.1371/journal.pcbi.1002496

Abstract

Meiosis is the cell division that halves the genetic component of diploid cells to form gametes or spores. To achieve this, meiotic cells undergo a radical spatial reorganisation of chromosomes. This reorganisation is a prerequisite for the pairing of parental homologous chromosomes and the reductional division, which halves the number of chromosomes in daughter cells. Of particular note is the change from a centromere clustered layout (Rabl configuration) to a telomere clustered conformation (bouquet stage). The contribution of the bouquet structure to homologous chromosome pairing is uncertain. We have developed a new in silico model to represent the chromosomes of Saccharomyces cerevisiae in space, based on a worm-like chain model constrained by attachment to the nuclear envelope and clustering forces. We have asked how these constraints could influence chromosome layout, with particular regard to the juxtaposition of homologous chromosomes and potential nonallelic, ectopic, interactions. The data support the view that the bouquet may be sufficient to bring short chromosomes together, but the contribution to long chromosomes is less. We also find that persistence length is critical to how much influence the bouquet structure could have, both on pairing of homologues and avoiding contacts with heterologues. This work represents an important development in computer modeling of chromosomes, and suggests new explanations for why elucidating the functional significance of the bouquet by genetics has been so difficult.

Item Type: Journal Article
Subjects: Q Science > QH Natural history > QH426 Genetics
Divisions: Faculty of Science > Centre for Systems Biology
Library of Congress Subject Headings (LCSH): Meiosis -- Computer simulation, Saccharomyces cerevisiae -- Computer simulation, Chromosomes -- Computer simulation
Journal or Publication Title: PLoS Computational Biology
Publisher: Public Library of Science
ISSN: 1553-7358
Date: 2012
Volume: Vol.8
Number: No.5
Page Range: e1002496
Identification Number: 10.1371/journal.pcbi.1002496
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC)
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URI: http://wrap.warwick.ac.uk/id/eprint/49440

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