Literature DB >> 30718362

tRNA Genes Affect Chromosome Structure and Function via Local Effects.

Omar Hamdani1, Namrita Dhillon1, Tsung-Han S Hsieh2, Takahiro Fujita3, Josefina Ocampo4, Jacob G Kirkland1, Josh Lawrimore5, Tetsuya J Kobayashi6, Brandon Friedman5, Derek Fulton5, Kenneth Y Wu1, Răzvan V Chereji4, Masaya Oki3, Kerry Bloom5, David J Clark4, Oliver J Rando2, Rohinton T Kamakaka7.   

Abstract

The genome is packaged and organized in an ordered, nonrandom manner, and specific chromatin segments contact nuclear substructures to mediate this organization. tRNA genes (tDNAs) are binding sites for transcription factors and architectural proteins and are thought to play an important role in the organization of the genome. In this study, we investigate the roles of tDNAs in genomic organization and chromosome function by editing a chromosome so that it lacked any tDNAs. Surprisingly our analyses of this tDNA-less chromosome show that loss of tDNAs does not grossly affect chromatin architecture or chromosome tethering and mobility. However, loss of tDNAs affects local nucleosome positioning and the binding of SMC proteins at these loci. The absence of tDNAs also leads to changes in centromere clustering and a reduction in the frequency of long-range HML-HMR heterochromatin clustering with concomitant effects on gene silencing. We propose that the tDNAs primarily affect local chromatin structure, which results in effects on long-range chromosome architecture.

Keywords:  SMC proteins; Saccharomyces cerevisiaezzm321990; chromatin; chromosome structure; gene silencing; nucleosome; tDNA

Mesh:

Substances:

Year:  2019        PMID: 30718362      PMCID: PMC6447413          DOI: 10.1128/MCB.00432-18

Source DB:  PubMed          Journal:  Mol Cell Biol        ISSN: 0270-7306            Impact factor:   4.272


  139 in total

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5.  Clustering of meiotic double-strand breaks on yeast chromosome III.

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Review 9.  An Overview of Genome Organization and How We Got There: from FISH to Hi-C.

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10.  Yeast nuclei display prominent centromere clustering that is reduced in nondividing cells and in meiotic prophase.

Authors:  Q Jin; E Trelles-Sticken; H Scherthan; J Loidl
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  6 in total

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5.  Machine Learning Algorithms Highlight tRNA Information Content and Chargaff's Second Parity Rule Score as Important Features in Discriminating Probiotics from Non-Probiotics.

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Review 6.  Common Features of the Pericentromere and Nucleolus.

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  6 in total

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