综合动态代谢组学和转录组学研究硝酸盐污染对大菱鲆肠道功能障碍的影响

IF 4.1 2区 环境科学与生态学 Q1 MARINE & FRESHWATER BIOLOGY
Jiachen Yu , Suyue Zhou , Ziyi Zhang , Bo Qin , Honglu Guo , Anxin Shi , Xiangyuan Li , Xingqiang Wang , Jie Lian , Qing Ji
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引用次数: 0

摘要

水生生态系统中的硝酸盐污染已引起全球关注,并对海洋生物产生毒性影响。然而,鱼类肠道中硝酸盐毒性的确切分子机制仍然不清楚。为此,采用代谢组学和转录组学相结合的多组学分析方法,对大比菱鲆进行硝酸盐(200 mg/L NO3-N)暴露0、10、20和30天,以探索硝酸盐在肠道中的毒性和代谢机制。代谢组学分析显示,硝酸盐暴露导致肠道代谢物网络发生显著变化,表明大菱鲆肠道代谢受到损害。代谢产物途径分析(MetPA)结果显示,受硝酸盐暴露显著影响的代谢途径包括氨基酸代谢途径,如苯丙氨酸、酪氨酸和色氨酸的生物合成,苯丙氨酸的生物合成,精氨酸的生物合成,d -谷氨酰胺和d -谷氨酸的代谢,以及氨基酰基trna的生物合成。此外,关键差异代谢物(DMs)和差异表达基因(DEGs)之间的网络相互作用分析确定了与该过程相关的七种必需氨基酸。短时间序列表达挖掘(Short Time-series Expression Miner, STEM)分析发现,6种不同的时间表达模式在DMs中表现出动态变化,主要富集在碳水化合物和脂质代谢中,表明抵御硝酸盐胁迫的能量需求增加。多组学分析显示,持续的硝酸盐胁迫会干扰蛋白质的消化和吸收,改变胶原合成代谢和细胞外基质(ECM)的特定组成,最终破坏肠道内稳态。我们的发现增强了我们对鱼类硝酸盐毒性的理解,并提供了可以改善海洋生态系统硝酸盐管理的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Insights on nitrate pollution-induced intestinal dysfunction in turbot (Scophthalmus maximus) revealed by integrated dynamic metabolomics and transcriptomics

Insights on nitrate pollution-induced intestinal dysfunction in turbot (Scophthalmus maximus) revealed by integrated dynamic metabolomics and transcriptomics
Nitrate pollution in aquatic ecosystems has attracted global attention and has toxic effects on marine organisms. However, the precise molecular mechanisms underlying nitrate toxicity in the fish gut remain obscure. To this end, turbot were subjected to nitrate exposure (200 mg/L NO3–N) for 0, 10, 20, and 30 days to explore nitrate toxicity and metabolic mechanisms in the gut by employing a multi-omics analysis integrating metabolomics with transcriptomics. The metabolomics analysis showed that nitrate exposure resulted in significant changes in the intestinal metabolite network, implying that the intestinal metabolism of turbot was impaired. Metabolites Pathway Analysis (MetPA) results revealed that the metabolic pathways significantly impacted by nitrate exposure included amino-acid metabolism pathways, such as phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, arginine biosynthesis, D-glutamine and D-glutamate metabolism, and aminoacyl-tRNA biosynthesis. Additionally, network interaction analysis between key differential metabolites (DMs) and differentially expressed genes (DEGs) identified seven essential amino acids associated with this process. Short Time-series Expression Miner (STEM) analysis determined that six distinct temporal expression patterns exhibited dynamic changes in DMs, mainly enriched in the metabolism of carbohydrates and lipids, indicating an increased energy demand to withstand nitrate stress. Multi-omics analysis revealed that sustained nitrate stress can interfere with protein digestion and absorption, alter collagen anabolism and specific composition of the extracellular matrix (ECM), and ultimately disrupt intestinal homeostasis. Our findings enhance our understanding of nitrate toxicity in fish and offer insights that can improve nitrate management in marine ecosystems.
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来源期刊
Aquatic Toxicology
Aquatic Toxicology 环境科学-毒理学
CiteScore
7.10
自引率
4.40%
发文量
250
审稿时长
56 days
期刊介绍: Aquatic Toxicology publishes significant contributions that increase the understanding of the impact of harmful substances (including natural and synthetic chemicals) on aquatic organisms and ecosystems. Aquatic Toxicology considers both laboratory and field studies with a focus on marine/ freshwater environments. We strive to attract high quality original scientific papers, critical reviews and expert opinion papers in the following areas: Effects of harmful substances on molecular, cellular, sub-organismal, organismal, population, community, and ecosystem level; Toxic Mechanisms; Genetic disturbances, transgenerational effects, behavioral and adaptive responses; Impacts of harmful substances on structure, function of and services provided by aquatic ecosystems; Mixture toxicity assessment; Statistical approaches to predict exposure to and hazards of contaminants The journal also considers manuscripts in other areas, such as the development of innovative concepts, approaches, and methodologies, which promote the wider application of toxicological datasets to the protection of aquatic environments and inform ecological risk assessments and decision making by relevant authorities.
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