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IF 11.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-02-19 DOI:10.1016/j.watres.2025.123336

Tengxin Cao , Ming Su , Yufan Ai , Ziyi Yang , Jinbo Zhao , Min Yang

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引用次数: 0

摘要

2-甲基异龙脑（MIB）是饮用水系统中臭名昭著的霉味剂，由蓝藻在光合色素的生物合成过程中产生。本研究通过诱导蓝藻在不同光色下的色素适应，研究了含藻红素（PE）并产生 MIB 的蓝藻 Pseudanabaena cinerea 的生理适应。我们的研究结果表明，红光通过刺激三羧酸（TCA）循环和相关代谢过程提高了生长率，而绿光则显著提高了光合色素含量和电子传递效率。MIB 产量与叶绿素 a（Chl a）含量呈非线性关系，以对数线性方程建模（R2 = 0.74，p <0.01）。在 RNA 水平上，mic 和 chlG 基因表达之间的强相关性也证明了这一点（R2 = 0.85，p <0.01）。模型显示，与 Chl a 的产生相比，<2% 的碳通量分配给了 MIB 的生物合成，这表明 MIB 的生物合成与光合色素的产生是协同作用，而不是竞争作用。野外观测到的水体浊度增加导致的光光谱红移导致光合色素发生变化，从而降低了 MIB 的含量。这项研究加深了我们对多变光照条件下产生 MIB 的蓝藻的了解，并为减少地表水中 MIB 的发生提供了启示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Green light suppresses cell growth but enhances photosynthetic rate and MIB biosynthesis in PE-containing Pseudanabaena

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Green light suppresses cell growth but enhances photosynthetic rate and MIB biosynthesis in PE-containing Pseudanabaena

2-Methylisoborneol (MIB) is a notorious musty odorant in drinking water systems, produced by cyanobacteria during the biosynthesis of photosynthetic pigments. This study investigated the physiological adaptation of Pseudanabaena cinerea, a phycoerythrin (PE)-containing and MIB-producing cyanobacterium, by inducing chromatic acclimation under different light color. Our findings revealed that red light enhanced growth rates by stimulating the tricarboxylic acid (TCA) cycle and associated metabolic processes, while green light significantly increased photosynthetic pigment content and electron transport efficiency. MIB yield correlated nonlinearly with chlorophyll a (Chl a) content, modeled by a logarithmic-linear equation (R² = 0.74, p < 0.01). This was supported by the strong correlation between mic and chlG gene expression at the RNA level (R² = 0.85, p < 0.01). The model showed that < 2 % of carbon flux is allocated to MIB biosynthesis compared to Chl a production, indicating that MIB biosynthesis is synergistic, not competitive, with photosynthetic pigment production. The red-shift in light spectra due to increased water turbidity observed in the field led to changes in photosynthetic pigments, which decreased MIB levels. This study improves our understanding of MIB-producing cyanobacteria under variable light conditions and offers insights for mitigating MIB occurrences in surface waters.

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来源期刊

Water Research 环境科学-工程：环境

CiteScore

20.80

自引率

9.40%

发文量

1307

审稿时长

38 days

期刊介绍： Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.