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Quantitative Dynamics of Telomere Bouquet Formation

Overview of attention for article published in PLoS Computational Biology, December 2012
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Title
Quantitative Dynamics of Telomere Bouquet Formation
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002812
Pubmed ID
Authors

David M. Richards, Emma Greer, Azahara C. Martin, Graham Moore, Peter J. Shaw, Martin Howard

Abstract

The mechanism by which homologous chromosomes pair during meiosis, as a prelude to recombination, has long been mysterious. At meiosis, the telomeres in many organisms attach to the nuclear envelope and move together to form the telomere bouquet, perhaps to facilitate the homologous search. It is believed that diffusion alone is not sufficient to account for the formation of the bouquet, and that some directed movement is also required. Here we consider the formation of the telomere bouquet in a wheat-rye hybrid both experimentally and using mathematical modelling. The large size of the wheat nucleus and wheat's commercial importance make chromosomal pairing in wheat a particularly interesting and important process, which may well shed light on pairing in other organisms. We show that, prior to bouquet formation, sister chromatid telomeres are always attached to a hemisphere of the nuclear membrane and tend to associate in pairs. We study a mutant lacking the Ph1 locus, a locus ensuring correct homologous chromosome pairing, and discover that bouquet formation is delayed in the wild type compared to the mutant. Further, we develop a mathematical model of bouquet formation involving diffusion and directed movement, where we show that directed movement alone is sufficient to explain bouquet formation dynamics.

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The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Researcher 9 22%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 66%
Physics and Astronomy 3 7%
Mathematics 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Neuroscience 1 2%
Other 0 0%
Unknown 6 15%