PHOTOHETEROTROPHIC extracellular reduction of ferrihydrite activates diverse intracellular metabolic pathways in Rhodopseudomonas palustris for enhanced antibiotic degradation

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-01-02 DOI:10.1016/j.watres.2025.123088
Xiaoyan Bai, Qian Yu, Jian Sun, Yulei Xie, Yong Yuan
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Abstract

anoxygenic photosynthetic bacteria(APB) have been frequently detected as a photoautotrophic Fe-carbon cycling drivers in photic and anoxic environment. However, the potential capacity of these bacteria for photoheterotrophic extracellular reduction of iron-containing minerals and their impact on the transformation of organic pollutants remain currently unknown. This study investigated the capacity of R. palustris, a purple non-sulfur anoxygenic photosynthetic bacterium, to reduce ferrihydrite (Fh) and its correlation with sulfamethazine (SDZ)degradation were firstly investigated. The results revealed that R. palustris could undergo photoheterotrophic extracellular reduction of Fh to form goethite through direct contact, facilitating the formation of conductive bands and enter the interior of cells with a maximum Fe(II)/Fe(T) ratio of up to 39% within 8 days which led to 13% increase in assimilation rate of acetate carbon and 53.2% increase in SDZ degradation rates, as compared with those by R. palustris alone. Moreover, the intermediates generated during the degradation of SDZ by R. palustris-Fh exhibited relatively lower developmental toxicity compared with the original SDZ molecule. The extracellular reduction of Fh significantly up-regulated the expression of genes related to photosynthetic metabolic enzymes, extracellular electron transporters, and extracellular degrading enzymes in R. palustris. This enhancement promoted the photoheterotrophic metabolism and extracellular secretion of photosensitive active compounds in R. palustris, thereby enhancing both the biodegradation and photosensitive degradation of SDZ.

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缺氧光合细菌(APB)是光照和缺氧环境中光自养碳铁循环的驱动力,经常被检测到。然而,这些细菌对含铁矿物质进行胞外光异养还原的潜在能力及其对有机污染物转化的影响目前仍然未知。本研究首先考察了一种紫色非硫氧光合细菌 R. palustris 还原铁血盐(Fh)的能力及其与磺胺二甲嘧啶(SDZ)降解的相关性。结果表明,R. palustris 可通过直接接触对 Fh 进行细胞外光异养还原,形成高铁铁,促进导电带的形成,并在 8 天内进入细胞内部,Fe(II)/Fe(T)比值最高可达 39%,与 R. palustris 单独还原相比,醋酸碳同化率提高了 13%,SDZ 降解率提高了 53.2%。此外,与原始的 SDZ 分子相比,R. palustris-Fh 降解 SDZ 过程中产生的中间产物的发育毒性相对较低。Fh的胞外还原作用显著上调了棕榈苣苔中光合代谢酶、胞外电子传递体和胞外降解酶相关基因的表达。这种增强促进了棕榈蛙的光合代谢和胞外光敏活性化合物的分泌,从而增强了SDZ的生物降解和光敏降解能力。
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来源期刊
Water Research
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.
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