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

基因 生物 大肠杆菌 重金属 微生物学 化学 生物化学 环境化学
作者
Qian Ba,Jingqi Zhou,Jingquan Li,Shujun Cheng,Xiaokang Zhang,Hui Wang
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:56 (19): 13867-13877 被引量:10
标识
DOI:10.1021/acs.est.2c04785
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊的铭应助无语的彩虹采纳,获得10
1秒前
3秒前
3秒前
spinon发布了新的文献求助10
4秒前
NexusExplorer应助ABC的风格采纳,获得10
4秒前
科研通AI6.2应助瘦瘦采纳,获得10
4秒前
万能图书馆应助zzk采纳,获得10
5秒前
5秒前
闪闪的皮卡丘完成签到,获得积分10
5秒前
5秒前
CodeCraft应助lfc采纳,获得10
5秒前
6秒前
大个应助含蓄的傲柏采纳,获得30
6秒前
JamesPei应助沉默傲薇采纳,获得10
6秒前
8秒前
科研小白完成签到,获得积分10
8秒前
abc发布了新的文献求助10
8秒前
8秒前
IKUN发布了新的文献求助10
9秒前
11秒前
CCcc发布了新的文献求助20
11秒前
12秒前
嘉杰完成签到,获得积分20
12秒前
ee应助阳光采纳,获得20
12秒前
解方程组完成签到,获得积分10
13秒前
13秒前
寒子川发布了新的文献求助10
13秒前
IKUN完成签到,获得积分10
13秒前
青屿发布了新的文献求助30
14秒前
烟花应助播报采纳,获得30
14秒前
大脸猫4811完成签到,获得积分10
14秒前
科研通AI6.4应助小猫采纳,获得10
16秒前
ABC的风格发布了新的文献求助10
16秒前
17秒前
zhangyi306发布了新的文献求助10
17秒前
werick完成签到,获得积分10
18秒前
体贴菠萝发布了新的文献求助10
18秒前
weihuiting2024完成签到,获得积分10
19秒前
希望天下0贩的0应助陌路采纳,获得10
19秒前
香菜完成签到,获得积分10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366180
求助须知:如何正确求助?哪些是违规求助? 8180082
关于积分的说明 17244573
捐赠科研通 5420962
什么是DOI,文献DOI怎么找? 2868279
邀请新用户注册赠送积分活动 1845413
关于科研通互助平台的介绍 1692909