Literature DB >> 19934054

Use of high throughput sequencing to observe genome dynamics at a single cell level.

D Parkhomchuk1, V Amstislavskiy, A Soldatov, V Ogryzko.   

Abstract

With the development of high throughput sequencing technology, it becomes possible to directly analyze mutation distribution in a genome-wide fashion, dissociating mutation rate measurements from the traditional underlying assumptions. Here, we sequenced several genomes of Escherichia coli from colonies obtained after chemical mutagenesis and observed a strikingly nonrandom distribution of the induced mutations. These include long stretches of exclusively G to A or C to T transitions along the genome and orders of magnitude intra- and intergenomic differences in mutation density. Whereas most of these observations can be explained by the known features of enzymatic processes, the others could reflect stochasticity in the molecular processes at the single-cell level. Our results demonstrate how analysis of the molecular records left in the genomes of the descendants of an individual mutagenized cell allows for genome-scale observations of fixation and segregation of mutations, as well as recombination events, in the single genome of their progenitor.

Entities:  

Mesh:

Year:  2009        PMID: 19934054      PMCID: PMC2791585          DOI: 10.1073/pnas.0906681106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

1.  The role of transient hypermutators in adaptive mutation in Escherichia coli.

Authors:  W A Rosche; P L Foster
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-08       Impact factor: 11.205

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3.  Microarray analysis of transposition targets in Escherichia coli: the impact of transcription.

Authors:  Dipankar Manna; Adam M Breier; N Patrick Higgins
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-21       Impact factor: 11.205

Review 4.  Repairing DNA-methylation damage.

Authors:  Barbara Sedgwick
Journal:  Nat Rev Mol Cell Biol       Date:  2004-02       Impact factor: 94.444

Review 5.  Selection-induced mutations.

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Journal:  Curr Opin Genet Dev       Date:  1992-12       Impact factor: 5.578

6.  ON THE TOPOGRAPHY OF THE GENETIC FINE STRUCTURE.

Authors:  S Benzer
Journal:  Proc Natl Acad Sci U S A       Date:  1961-03       Impact factor: 11.205

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Authors:  Long Cai; Nir Friedman; X Sunney Xie
Journal:  Nature       Date:  2006-03-16       Impact factor: 49.962

8.  The origin of mutants.

Authors:  J Cairns; J Overbaugh; S Miller
Journal:  Nature       Date:  1988-09-08       Impact factor: 49.962

9.  Global discovery of adaptive mutations.

Authors:  Hani Goodarzi; Alison K Hottes; Saeed Tavazoie
Journal:  Nat Methods       Date:  2009-07-13       Impact factor: 28.547

10.  Evaluation of a microarray-hybridization based method applicable for discovery of single nucleotide polymorphisms (SNPs) in the Pseudomonas aeruginosa genome.

Authors:  Andreas Dötsch; Claudia Pommerenke; Florian Bredenbruch; Robert Geffers; Susanne Häussler
Journal:  BMC Genomics       Date:  2009-01-19       Impact factor: 3.969

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  18 in total

1.  Topokaryotyping demonstrates single cell variability and stress dependent variations in nuclear envelope associated domains.

Authors:  Anamarija Jurisic; Chloé Robin; Pavel Tarlykov; Lee Siggens; Brigitte Schoell; Anna Jauch; Karl Ekwall; Claus Storgaard Sørensen; Marc Lipinski; Muhammad Shoaib; Vasily Ogryzko
Journal:  Nucleic Acids Res       Date:  2018-12-14       Impact factor: 16.971

2.  Damage-induced localized hypermutability.

Authors:  Lauranell H Burch; Yong Yang; Joan F Sterling; Steven A Roberts; Frank G Chao; Hong Xu; Leilei Zhang; Jesse Walsh; Michael A Resnick; Piotr A Mieczkowski; Dmitry A Gordenin
Journal:  Cell Cycle       Date:  2011-04-01       Impact factor: 4.534

3.  Real-time dynamics of mutagenesis reveal the chronology of DNA repair and damage tolerance responses in single cells.

Authors:  Stephan Uphoff
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-25       Impact factor: 11.205

4.  Identifying structural variation in haploid microbial genomes from short-read resequencing data using breseq.

Authors:  Jeffrey E Barrick; Geoffrey Colburn; Daniel E Deatherage; Charles C Traverse; Matthew D Strand; Jordan J Borges; David B Knoester; Aaron Reba; Austin G Meyer
Journal:  BMC Genomics       Date:  2014-11-29       Impact factor: 3.969

5.  Most "dark matter" transcripts are associated with known genes.

Authors:  Harm van Bakel; Corey Nislow; Benjamin J Blencowe; Timothy R Hughes
Journal:  PLoS Biol       Date:  2010-05-18       Impact factor: 8.029

Review 6.  Developing insights into the mechanisms of evolution of bacterial pathogens from whole-genome sequences.

Authors:  Josephine Bryant; Claire Chewapreecha; Stephen D Bentley
Journal:  Future Microbiol       Date:  2012-11       Impact factor: 3.165

Review 7.  Genomic approaches to DNA repair and mutagenesis.

Authors:  John J Wyrick; Steven A Roberts
Journal:  DNA Repair (Amst)       Date:  2015-09-15

Review 8.  Clusters of Multiple Mutations: Incidence and Molecular Mechanisms.

Authors:  Kin Chan; Dmitry A Gordenin
Journal:  Annu Rev Genet       Date:  2015       Impact factor: 16.830

9.  Genotyping in the cloud with Crossbow.

Authors:  James Gurtowski; Michael C Schatz; Ben Langmead
Journal:  Curr Protoc Bioinformatics       Date:  2012-09

10.  Pervasive lesion segregation shapes cancer genome evolution.

Authors:  Craig J Anderson; Frances Connor; Sarah J Aitken; Oriol Pich; Vasavi Sundaram; Christine Feig; Tim F Rayner; Margus Lukk; Stuart Aitken; Juliet Luft; Elissavet Kentepozidou; Claudia Arnedo-Pac; Sjoerd V Beentjes; Susan E Davies; Ruben M Drews; Ailith Ewing; Vera B Kaiser; Ava Khamseh; Erika López-Arribillaga; Aisling M Redmond; Javier Santoyo-Lopez; Inés Sentís; Lana Talmane; Andrew D Yates; Colin A Semple; Núria López-Bigas; Paul Flicek; Duncan T Odom; Martin S Taylor
Journal:  Nature       Date:  2020-06-24       Impact factor: 49.962

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