Literature DB >> 36121417

Mutagenic Characteristics of Six Heavy Metals in Escherichia coli: The Commonality and Specificity.

Qian Ba1, Jingqi Zhou1, Jingquan Li1, Shujun Cheng1, Xiaokang Zhang2, Hui Wang1.   

Abstract

The history of long-term environmental exposure to heavy metals can be recorded in the genome as sporadic and specific mutations. Variable environments introduce diverse and adaptive mutations to organisms. To reveal the information hidden in genomes about environmental exposure to heavy metals, we performed long-term mutation accumulation (MA) experiments with Escherichia coli, analyzed genomes from 36 populations across 1650 generations with 6 heavy metal exposure regimes (arsenic, cadmium, chromium, copper, nickel, and lead), and inferred metal-specific evolution modes at the genomic level. All heavy metals induced genetic mutations with a mean rate of 3.459 × 10-9 per nucleotide per generation. The mutational spectrum exhibited distinct signatures; however, heavy metals also shared common mutation signatures prominently associated with all cancer types. The mutated genes showed an average similarity of 54.4% within the same exposure regime, whereas only 38.8% between exposure regimes. In terms of biological insights, mutated genes were enriched to fundamental cellular processes such as metabolism, motility, and transport. Our study elucidates the mutagenic commonality and specificity of environmental heavy metals, which are highly specific at mutational features and locus, but conserved at gene and functional levels, and may play crucial roles in the convergence of adaptation to heavy metals.

Entities:  

Keywords:  experimental evolution; genomic signatures; heavy metal; mutation

Mesh:

Substances:

Year:  2022        PMID: 36121417      PMCID: PMC9536316          DOI: 10.1021/acs.est.2c04785

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   11.357


  56 in total

1.  Learning the parts of objects by non-negative matrix factorization.

Authors:  D D Lee; H S Seung
Journal:  Nature       Date:  1999-10-21       Impact factor: 49.962

2.  A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3.

Authors:  Pablo Cingolani; Adrian Platts; Le Lily Wang; Melissa Coon; Tung Nguyen; Luan Wang; Susan J Land; Xiangyi Lu; Douglas M Ruden
Journal:  Fly (Austin)       Date:  2012 Apr-Jun       Impact factor: 2.160

Review 3.  Stress-induced adaptive morphogenesis in bacteria.

Authors:  Eveline Ultee; Karina Ramijan; Remus T Dame; Ariane Briegel; Dennis Claessen
Journal:  Adv Microb Physiol       Date:  2019-03-04       Impact factor: 3.517

4.  Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli.

Authors:  Kyle J Card; Misty D Thomas; Joseph L Graves; Jeffrey E Barrick; Richard E Lenski
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-02       Impact factor: 11.205

Review 5.  Genetic drift, selection and the evolution of the mutation rate.

Authors:  Michael Lynch; Matthew S Ackerman; Jean-Francois Gout; Hongan Long; Way Sung; W Kelley Thomas; Patricia L Foster
Journal:  Nat Rev Genet       Date:  2016-10-14       Impact factor: 53.242

6.  The Effects of Heavy Metals on Human Metabolism.

Authors:  Zhushan Fu; Shuhua Xi
Journal:  Toxicol Mech Methods       Date:  2019-12-09       Impact factor: 2.987

7.  VarScan2 analysis of de novo variants in monozygotic twins discordant for schizophrenia.

Authors:  Emma Reble; Christina A Castellani; Melkaye G Melka; Richard O'Reilly; Shiva M Singh
Journal:  Psychiatr Genet       Date:  2017-04       Impact factor: 2.458

8.  A flexible R package for nonnegative matrix factorization.

Authors:  Renaud Gaujoux; Cathal Seoighe
Journal:  BMC Bioinformatics       Date:  2010-07-02       Impact factor: 3.169

9.  High mutational rates of large-scale duplication and deletion in Daphnia pulex.

Authors:  Nathan Keith; Abraham E Tucker; Craig E Jackson; Way Sung; José Ignacio Lucas Lledó; Daniel R Schrider; Sarah Schaack; Jeffry L Dudycha; Matthew Ackerman; Andrew J Younge; Joseph R Shaw; Michael Lynch
Journal:  Genome Res       Date:  2015-10-30       Impact factor: 9.043

10.  Heavy metal driven co-selection of antibiotic resistance in soil and water bodies impacted by agriculture and aquaculture.

Authors:  Claudia Seiler; Thomas U Berendonk
Journal:  Front Microbiol       Date:  2012-12-14       Impact factor: 5.640

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