Metabolomic responses to sublethal contaminant exposure in neonate and adult Daphnia magna

大型水蚤 个体发育 毒性 生态毒性 环境化学 水蚤 生态毒理学 生物 污染 水生生态系统 毒理 阿特拉津 杀虫剂 化学 动物 生态学 内分泌学 甲壳动物 有机化学
作者
Nicole D. Wagner,André J. Simpson,Myrna J. Simpson
出处
期刊:Environmental Toxicology and Chemistry [Wiley]
卷期号:36 (4): 938-946 被引量:51
标识
DOI:10.1002/etc.3604
摘要

The use of consumer products and pharmaceuticals that act as contaminants entering waterways through runoff and wastewater effluents alters aquatic ecosystem health. Traditional toxicological endpoints may underestimate the toxicity of contaminants, as lethal concentrations are often orders of magnitude higher than those found within freshwater ecosystems. While newer techniques examine the metabolic responses of sublethal contaminant exposure, there has been no direct comparison with ontogeny in Daphnia. It was hypothesized that Daphnia magna would have distinct metabolic changes after 3 different sublethal contaminant exposures, because of differences in the toxic mode of action and ontogeny. To test this hypothesis, the proton nuclear magnetic resonance metabolomic profiles were measured in D. magna aged day 0 and 18 after exposure to 28% of the lethal concentration of 50% of organisms tested (LC50) of atrazine, propranolol, and perfluorooctanesulfonic acid (PFOS) for 48 h. Principal component analysis revealed significant separation of contaminants from the control daphnids in both neonates and adults exposed to propranolol and PFOS. In contrast, atrazine exposure caused separation from the controls in only the adult D. magna. Minimal ontogenetic changes in the targeted metabolites were seen after exposure to propranolol. For both atrazine and PFOS exposures ontogeny exhibited unique changes in the targeted metabolites. These results indicate that, depending on the contaminant studied, neonates and adults respond uniquely to sublethal contaminant exposure. Environ Toxicol Chem 2017;36:938-946. © 2016 SETAC.
最长约 10秒,即可获得该文献文件

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
科研通AI5应助呆萌士晋采纳,获得10
刚刚
刚刚
j45mj完成签到,获得积分10
刚刚
刚刚
隐形曼青应助青易采纳,获得10
1秒前
2秒前
YY发布了新的文献求助10
2秒前
3秒前
共享精神应助Yiy采纳,获得10
3秒前
少艾发布了新的文献求助10
3秒前
识途完成签到 ,获得积分10
3秒前
wanci应助威武兔子采纳,获得10
3秒前
3秒前
3秒前
夜雨完成签到,获得积分10
4秒前
4秒前
111发布了新的文献求助10
4秒前
4秒前
北望发布了新的文献求助20
5秒前
喵喵完成签到,获得积分20
5秒前
5秒前
5秒前
Roche发布了新的文献求助10
6秒前
可爱的函函应助gxqqqqqqq采纳,获得10
6秒前
聂难敌发布了新的文献求助10
6秒前
利物鸟贝拉完成签到,获得积分10
7秒前
7秒前
7秒前
烟花应助扶溪筠采纳,获得10
7秒前
幸运的羔羊完成签到,获得积分10
7秒前
7秒前
zzyzz完成签到,获得积分10
7秒前
左白易发布了新的文献求助10
7秒前
ss2255完成签到,获得积分10
8秒前
科研通AI5应助致语采纳,获得10
8秒前
8秒前
喵喵发布了新的文献求助50
8秒前
8秒前
Haha完成签到,获得积分20
9秒前
9秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Parallel Optimization 200
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835634
求助须知:如何正确求助?哪些是违规求助? 3378015
关于积分的说明 10501548
捐赠科研通 3097632
什么是DOI,文献DOI怎么找? 1705876
邀请新用户注册赠送积分活动 820756
科研通“疑难数据库(出版商)”最低求助积分说明 772245