» Articles » PMID: 36121417

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

Overview
Date 2022 Sep 19
PMID 36121417
Authors
Affiliations
Soon will be listed here.
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 , 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 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.

Citing Articles

Genome and transcriptomic analysis of the adaptation of to environmental stresses.

Jiao J, Lv X, Shen C, Morigen M Comput Struct Biotechnol J. 2024; 23():2132-2140.

PMID: 38817967 PMC: 11137339. DOI: 10.1016/j.csbj.2024.05.033.


Simultaneous detection of mercury and cadmium ions: A colorimetric method in aqueous media.

Pourbadiei B, Eftekhari-Sis B, Kordzadeh A, Pourjavadi A Heliyon. 2023; 9(11):e21674.

PMID: 38034750 PMC: 10682545. DOI: 10.1016/j.heliyon.2023.e21674.


Current Status of Biotechnological Approaches to Enhance the Phytoremediation of Heavy Metals in India-A Review.

Barathi S, Lee J, Venkatesan R, Vetcher A Plants (Basel). 2023; 12(22).

PMID: 38005713 PMC: 10675783. DOI: 10.3390/plants12223816.

References
1.
Seiler C, Berendonk T . Heavy metal driven co-selection of antibiotic resistance in soil and water bodies impacted by agriculture and aquaculture. Front Microbiol. 2012; 3:399. PMC: 3522115. DOI: 10.3389/fmicb.2012.00399. View

2.
Lee D, Seung H . Learning the parts of objects by non-negative matrix factorization. Nature. 1999; 401(6755):788-91. DOI: 10.1038/44565. View

3.
Fu Z, Xi S . The effects of heavy metals on human metabolism. Toxicol Mech Methods. 2019; 30(3):167-176. DOI: 10.1080/15376516.2019.1701594. View

4.
Gaujoux R, Seoighe C . A flexible R package for nonnegative matrix factorization. BMC Bioinformatics. 2010; 11:367. PMC: 2912887. DOI: 10.1186/1471-2105-11-367. View

5.
Reble E, Castellani C, Melka M, OReilly R, Singh S . VarScan2 analysis of de novo variants in monozygotic twins discordant for schizophrenia. Psychiatr Genet. 2017; 27(2):62-70. DOI: 10.1097/YPG.0000000000000162. View