Literature DB >> 35164830

Genetic variation at mouse and human ribosomal DNA influences associated epigenetic states.

Francisco Rodriguez-Algarra1, Robert A E Seaborne1, Amy F Danson1,2, Selin Yildizoglu1, Harunori Yoshikawa3, Pui Pik Law1,4, Zakaryya Ahmad1, Victoria A Maudsley1, Ama Brew1, Nadine Holmes5, Mateus Ochôa1, Alan Hodgkinson4, Sarah J Marzi6,7, Madapura M Pradeepa1, Matthew Loose5, Michelle L Holland8, Vardhman K Rakyan9.   

Abstract

BACKGROUND: Ribosomal DNA (rDNA) displays substantial inter-individual genetic variation in human and mouse. A systematic analysis of how this variation impacts epigenetic states and expression of the rDNA has thus far not been performed.
RESULTS: Using a combination of long- and short-read sequencing, we establish that 45S rDNA units in the C57BL/6J mouse strain exist as distinct genetic haplotypes that influence the epigenetic state and transcriptional output of any given unit. DNA methylation dynamics at these haplotypes are dichotomous and life-stage specific: at one haplotype, the DNA methylation state is sensitive to the in utero environment, but refractory to post-weaning influences, whereas other haplotypes entropically gain DNA methylation during aging only. On the other hand, individual rDNA units in human show limited evidence of genetic haplotypes, and hence little discernible correlation between genetic and epigenetic states. However, in both species, adjacent units show similar epigenetic profiles, and the overall epigenetic state at rDNA is strongly positively correlated with the total rDNA copy number. Analysis of different mouse inbred strains reveals that in some strains, such as 129S1/SvImJ, the rDNA copy number is only approximately 150 copies per diploid genome and DNA methylation levels are < 5%.
CONCLUSIONS: Our work demonstrates that rDNA-associated genetic variation has a considerable influence on rDNA epigenetic state and consequently rRNA expression outcomes. In the future, it will be important to consider the impact of inter-individual rDNA (epi)genetic variation on mammalian phenotypes and diseases.
© 2022. The Author(s).

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Year:  2022        PMID: 35164830      PMCID: PMC8842540          DOI: 10.1186/s13059-022-02617-x

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


  45 in total

1.  Molecular mechanisms mediating methylation-dependent silencing of ribosomal gene transcription.

Authors:  R Santoro; I Grummt
Journal:  Mol Cell       Date:  2001-09       Impact factor: 17.970

2.  Using DNA Methylation Profiling to Evaluate Biological Age and Longevity Interventions.

Authors:  Daniel A Petkovich; Dmitriy I Podolskiy; Alexei V Lobanov; Sang-Goo Lee; Richard A Miller; Vadim N Gladyshev
Journal:  Cell Metab       Date:  2017-04-04       Impact factor: 27.287

3.  Genetic and Epigenetic Variation, but Not Diet, Shape the Sperm Methylome.

Authors:  Jeremy M Shea; Ryan W Serra; Benjamin R Carone; Hennady P Shulha; Alper Kucukural; Michael J Ziller; Markus P Vallaster; Hongcang Gu; Andrew R Tapper; Paul D Gardner; Alexander Meissner; Manuel Garber; Oliver J Rando
Journal:  Dev Cell       Date:  2015-12-21       Impact factor: 12.270

4.  Ribosomal DNA copy number is coupled with gene expression variation and mitochondrial abundance in humans.

Authors:  John G Gibbons; Alan T Branco; Shoukai Yu; Bernardo Lemos
Journal:  Nat Commun       Date:  2014-09-11       Impact factor: 14.919

5.  Genome-wide methylation profiles reveal quantitative views of human aging rates.

Authors:  Gregory Hannum; Justin Guinney; Ling Zhao; Li Zhang; Guy Hughes; SriniVas Sadda; Brandy Klotzle; Marina Bibikova; Jian-Bing Fan; Yuan Gao; Rob Deconde; Menzies Chen; Indika Rajapakse; Stephen Friend; Trey Ideker; Kang Zhang
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

6.  Maternal nutrition at conception modulates DNA methylation of human metastable epialleles.

Authors:  Paula Dominguez-Salas; Sophie E Moore; Maria S Baker; Andrew W Bergen; Sharon E Cox; Roger A Dyer; Anthony J Fulford; Yongtao Guan; Eleonora Laritsky; Matt J Silver; Gary E Swan; Steven H Zeisel; Sheila M Innis; Robert A Waterland; Andrew M Prentice; Branwen J Hennig
Journal:  Nat Commun       Date:  2014-04-29       Impact factor: 14.919

7.  Genome-wide analysis in the mouse embryo reveals the importance of DNA methylation for transcription integrity.

Authors:  Thomas Dahlet; Andrea Argüeso Lleida; Hala Al Adhami; Michael Dumas; Ambre Bender; Richard P Ngondo; Manon Tanguy; Judith Vallet; Ghislain Auclair; Anaïs F Bardet; Michael Weber
Journal:  Nat Commun       Date:  2020-06-19       Impact factor: 14.919

8.  Thousands of high-quality sequencing samples fail to show meaningful correlation between 5S and 45S ribosomal DNA arrays in humans.

Authors:  Ashley N Hall; Tychele N Turner; Christine Queitsch
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

9.  Early life diet conditions the molecular response to post-weaning protein restriction in the mouse.

Authors:  Amy F Danson; Sarah J Marzi; Robert Lowe; Michelle L Holland; Vardhman K Rakyan
Journal:  BMC Biol       Date:  2018-05-02       Impact factor: 7.431

10.  Changes in long-range rDNA-genomic interactions associate with altered RNA polymerase II gene programs during malignant transformation.

Authors:  Jeannine Diesch; Megan J Bywater; Elaine Sanij; Donald P Cameron; William Schierding; Natalie Brajanovski; Jinbae Son; Jirawas Sornkom; Nadine Hein; Maurits Evers; Richard B Pearson; Grant A McArthur; Austen R D Ganley; Justin M O'Sullivan; Ross D Hannan; Gretchen Poortinga
Journal:  Commun Biol       Date:  2019-01-28
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  2 in total

1.  DNA Methylation Analysis of Ribosomal DNA in Adults With Down Syndrome.

Authors:  Francesco Ravaioli; Michele Zampieri; Luca Morandi; Chiara Pirazzini; Camilla Pellegrini; Sara De Fanti; Noémie Gensous; Gian Luca Pirazzoli; Luisa Sambati; Alessandro Ghezzo; Fabio Ciccarone; Anna Reale; Daniela Monti; Stefano Salvioli; Paola Caiafa; Miriam Capri; Alexander Bürkle; Maria Moreno-Villanueva; Paolo Garagnani; Claudio Franceschi; Maria Giulia Bacalini
Journal:  Front Genet       Date:  2022-04-27       Impact factor: 4.772

2.  Identifying and correcting repeat-calling errors in nanopore sequencing of telomeres.

Authors:  Kar-Tong Tan; Michael K Slevin; Matthew Meyerson; Heng Li
Journal:  Genome Biol       Date:  2022-08-26       Impact factor: 17.906

  2 in total

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