Literature DB >> 19644920

Genomic mutation rates: what high-throughput methods can tell us.

Koodali T Nishant1, Nadia D Singh, Eric Alani.   

Abstract

High-throughput DNA analyses are increasingly being used to detect rare mutations in moderately sized genomes. These methods have yielded genome mutation rates that are markedly higher than those obtained using pre-genomic strategies. Recent work in a variety of organisms has shown that mutation rate is strongly affected by sequence context and genome position. These observations suggest that high-throughput DNA analyses will ultimately allow researchers to identify trans-acting factors and cis sequences that underlie mutation rate variation. Such work should provide insights on how mutation rate variability can impact genome organization and disease progression.

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Year:  2009        PMID: 19644920      PMCID: PMC2952423          DOI: 10.1002/bies.200900017

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  112 in total

1.  Quality scores and SNP detection in sequencing-by-synthesis systems.

Authors:  William Brockman; Pablo Alvarez; Sarah Young; Manuel Garber; Georgia Giannoukos; William L Lee; Carsten Russ; Eric S Lander; Chad Nusbaum; David B Jaffe
Journal:  Genome Res       Date:  2008-01-22       Impact factor: 9.043

2.  DNA synthesis errors associated with double-strand-break repair.

Authors:  J N Strathern; B K Shafer; C B McGill
Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

3.  Spontaneous deleterious mutation in Arabidopsis thaliana.

Authors:  S T Schultz; M Lynch; J H Willis
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

4.  Mutation rates differ among regions of the mammalian genome.

Authors:  K H Wolfe; P M Sharp; W H Li
Journal:  Nature       Date:  1989-01-19       Impact factor: 49.962

5.  Sequence composition and context effects on the generation and repair of frameshift intermediates in mononucleotide runs in Saccharomyces cerevisiae.

Authors:  B D Harfe; S Jinks-Robertson
Journal:  Genetics       Date:  2000-10       Impact factor: 4.562

6.  Estimate of the genomic mutation rate deleterious to overall fitness in E. coli.

Authors:  T T Kibota; M Lynch
Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

7.  Human mutation rate associated with DNA replication timing.

Authors:  John A Stamatoyannopoulos; Ivan Adzhubei; Robert E Thurman; Gregory V Kryukov; Sergei M Mirkin; Shamil R Sunyaev
Journal:  Nat Genet       Date:  2009-03-15       Impact factor: 38.330

8.  The distribution of mutation effects on viability in Drosophila melanogaster.

Authors:  P D Keightley
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

9.  Joint inference of the distribution of fitness effects of deleterious mutations and population demography based on nucleotide polymorphism frequencies.

Authors:  Peter D Keightley; Adam Eyre-Walker
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

10.  Substantial biases in ultra-short read data sets from high-throughput DNA sequencing.

Authors:  Juliane C Dohm; Claudio Lottaz; Tatiana Borodina; Heinz Himmelbauer
Journal:  Nucleic Acids Res       Date:  2008-07-26       Impact factor: 16.971

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  30 in total

1.  Localized hypermutation and associated gene losses in legume chloroplast genomes.

Authors:  Alan M Magee; Sue Aspinall; Danny W Rice; Brian P Cusack; Marie Sémon; Antoinette S Perry; Sasa Stefanović; Dan Milbourne; Susanne Barth; Jeffrey D Palmer; John C Gray; Tony A Kavanagh; Kenneth H Wolfe
Journal:  Genome Res       Date:  2010-10-26       Impact factor: 9.043

2.  Mismatch Repair Incompatibilities in Diverse Yeast Populations.

Authors:  Duyen T Bui; Anne Friedrich; Najla Al-Sweel; Gianni Liti; Joseph Schacherer; Charles F Aquadro; Eric Alani
Journal:  Genetics       Date:  2017-02-13       Impact factor: 4.562

3.  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

4.  Mutation hot spots in yeast caused by long-range clustering of homopolymeric sequences.

Authors:  Xin Ma; Maria V Rogacheva; K T Nishant; Sarah Zanders; Carlos D Bustamante; Eric Alani
Journal:  Cell Rep       Date:  2012-01-26       Impact factor: 9.423

5.  Cooperation between non-essential DNA polymerases contributes to genome stability in Saccharomyces cerevisiae.

Authors:  Damon Meyer; Becky Xu Hua Fu; Monique Chavez; Sophie Loeillet; Paula G Cerqueira; Alain Nicolas; Wolf-Dietrich Heyer
Journal:  DNA Repair (Amst)       Date:  2019-02-06

6.  Detection of heterozygous mutations in the genome of mismatch repair defective diploid yeast using a Bayesian approach.

Authors:  Sarah Zanders; Xin Ma; Arindam Roychoudhury; Ryan D Hernandez; Ann Demogines; Brandon Barker; Zhenglong Gu; Carlos D Bustamante; Eric Alani
Journal:  Genetics       Date:  2010-07-26       Impact factor: 4.562

7.  The baker's yeast diploid genome is remarkably stable in vegetative growth and meiosis.

Authors:  K T Nishant; Wu Wei; Eugenio Mancera; Juan Lucas Argueso; Andreas Schlattl; Nicolas Delhomme; Xin Ma; Carlos D Bustamante; Jan O Korbel; Zhenglong Gu; Lars M Steinmetz; Eric Alani
Journal:  PLoS Genet       Date:  2010-09-09       Impact factor: 5.917

Review 8.  Life-History Evolution and the Genetics of Fitness Components in Drosophila melanogaster.

Authors:  Thomas Flatt
Journal:  Genetics       Date:  2020-01       Impact factor: 4.562

Review 9.  The polarity protein PARD3 and cancer.

Authors:  Farzaneh Atashrazm; Sarah Ellis
Journal:  Oncogene       Date:  2021-06-07       Impact factor: 9.867

10.  Variation in heterozygosity predicts variation in human substitution rates between populations, individuals and genomic regions.

Authors:  William Amos
Journal:  PLoS One       Date:  2013-04-30       Impact factor: 3.240

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