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Seabird responses to altered marine vessel activity during the COVID-19 anthropause: insights from citizen science 在COVID-19人类暂停期间,海鸟对海洋船只活动改变的反应:来自公民科学的见解
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-22 DOI: 10.1016/j.scitotenv.2026.181456
Kirk A. Hart , Mark Drever , Gregory O'Hagan , Michael B. Schrimpf , Leh Smallshaw , Scott Wilson , Patrick D. O'Hara
Human activities exert multifaceted pressures on marine ecosystems, yet the degree to which seabirds respond to changes in vessel activity remains poorly quantified. The COVID-19 “anthropause” provided an unprecedented natural experiment to assess these responses across spatial and temporal scales. We combined Automatic Identification System data describing marine vessel activity with citizen-science observations from eBird to examine how 35 coastal seabird species in British Columbia, Canada, responded to pandemic-related changes in vessel traffic. Vessel activity was modelled using Generalized Additive Models to identify sites where small (personal), mid-sized (fishing and tug), and large (cargo, tanker and passenger) vessel traffic increased or decreased relative to pre-pandemic years (2018–2019). Seabird abundance was then modelled using negative binomial Generalized Additive Mixed Models to test for species-level changes between pre- and post-COVID periods, using the same sites identified in the previous step as showing significant increases or decreases in vessel activity. This paired-model approach (one for increase sites and one for decrease sites) allowed us to isolate seabird responses to directional changes in vessel activity, increasing confidence that observed patterns reflected vessel effects rather than unrelated environmental variation. Results revealed strong spatial heterogeneity in vessel reductions, with large vessels showing widespread declines, while small and mid-sized vessels displayed mixed patterns. Seabird responses were closely linked to these patterns: abundance generally increased where small-vessel traffic declined and decreased where it increased, indicating a negative association with small boats, while the opposite was true for mid-sized vessels, with abundance tending to rise where traffic increased and fall where it declined, reflecting a positive association. Large vessels produced few, mostly positive, significant associations, suggesting weaker or more distant effects. Collectively, these results demonstrate that vessel type, predictability, and proximity influence seabird responses to maritime disturbance. Our findings underscore the importance of considering vessel class and species-specific behaviour in marine spatial planning and mitigation of human impacts on seabird communities.
人类活动对海洋生态系统施加了多方面的压力,但海鸟对船只活动变化的反应程度仍然缺乏量化。COVID-19“人类暂停”提供了前所未有的自然实验,以评估时空尺度上的这些反应。我们将描述海洋船只活动的自动识别系统数据与eBird的公民科学观测相结合,研究了加拿大不列颠哥伦比亚省35种沿海海鸟如何应对与大流行相关的船只交通变化。使用广义加性模型对船舶活动进行建模,以确定与大流行前年份(2018-2019年)相比,小型(个人)、中型(捕鱼和拖船)和大型(货运、油轮和客运)船舶交通量增加或减少的地点。然后,使用负二项广义加性混合模型对海鸟丰度进行建模,以测试covid前后期间物种水平的变化,使用在上一步中确定的显示船舶活动显着增加或减少的相同位点。这种配对模型方法(一个用于增加地点,一个用于减少地点)使我们能够分离海鸟对船只活动方向变化的反应,从而增加了观察到的模式反映船只影响而不是无关的环境变化的信心。结果显示,血管减少的空间异质性很强,大型血管普遍减少,而中小型血管则呈现混合模式。海鸟的反应与这些模式密切相关:在小型船只交通量减少的地方,丰度通常会增加,在小型船只交通量增加的地方,丰度会减少,这表明与小型船只有负相关,而中型船只则相反,在交通量增加的地方,丰度会上升,在交通量减少的地方,丰度会下降,这反映了一种正相关。大血管产生的影响很少,但大多是积极的、显著的关联,表明影响较弱或较远。总的来说,这些结果表明船舶类型、可预测性和接近程度影响海鸟对海上扰动的反应。我们的研究结果强调了在海洋空间规划和减轻人类对海鸟群落影响中考虑船舶类别和物种特定行为的重要性。
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引用次数: 0
Inundation-driven community transitions in saltmarsh environments: Insights from multi-scale classification models 盐沼环境中淹没驱动的群落转变:来自多尺度分类模型的见解
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-22 DOI: 10.1016/j.scitotenv.2026.181429
Acacia Markov , Jacob Stolle , Saeid Homayouni , Ioan Nistor , Abolghasem Pilechi
This novel study presents vegetation community maps for saltmarshes along the Petites-Bergeronnes River, Québec (Canada), derived from supervised classification models of varying spatial and temporal resolutions. Random forest classification was performed using medium-resolution (3 m) PlanetScope satellite imagery, incorporating 12 images from the snow-free season (May–October 2023). High-resolution (0.2 m) multispectral imagery from the Government of Québec, Canada, supported a single-date (August 24, 2023) classification for the same region. This marks the first temporal feature approach to saltmarsh classification in the St. Lawrence Estuary, and the first direct comparison of community-level saltmarsh classification contrasting high spatial- versus high temporal-resolution. For the first time, tidal inundation dynamics were explicitly incorporated during classification, using inundation time as a predictor variable. This improved overall classification accuracy to 83% for the temporal imagery model and 96% for the high-resolution model. Moving beyond regional mapping, community extents were compared with tidal inundation data to identify thresholds for eco-geomorphic transitions and develop stress functions for saltmarsh evolution modeling. A region-independent threshold of ∼11% inundation time marked the majority transition from pioneer to high marsh vegetation. Mudflat-to-pioneer transitions were region-dependent (16–29% inundation time), indicating that the lower elevation limit of establishment is not solely dictated by inundation stress. As the first inundation thresholds identified independently of tidal datums for saltmarshes dominated by S. alterniflorus, S. pumilus, and P. maritima, these findings represent a significant advancement for saltmarsh eco-geomorphic studies across diverse geographies.
本研究基于不同时空分辨率的监督分类模型,绘制了加拿大qu贝克省Petites-Bergeronnes河沿岸盐沼的植被群落图。随机森林分类使用中分辨率(3米)PlanetScope卫星图像进行,其中包括12张无雪季节(2023年5月至10月)的图像。来自加拿大qusamubec政府的高分辨率(0.2 m)多光谱图像支持同一地区的单一日期(2023年8月24日)分类。这标志着圣劳伦斯河口盐沼分类的第一个时间特征方法,以及高空间分辨率和高时间分辨率的社区级盐沼分类的第一次直接比较。在分类中首次明确地纳入了潮汐淹没动力学,并将淹没时间作为预测变量。这将时间图像模型的总体分类精度提高到83%,高分辨率模型的分类精度提高到96%。除了区域制图之外,还将群落范围与潮汐淹没数据进行了比较,以确定生态地貌转变的阈值,并为盐沼演化建模开发应力函数。与区域无关的淹没时间阈值约为11%,标志着大部分植被从先锋植被向高沼泽植被过渡。泥滩到拓荒区的转变与区域有关(16-29%的淹没时间),这表明建立的低海拔极限并不完全由淹没应力决定。作为第一个独立于潮汐基准确定的盐沼淹没阈值,这些发现代表了跨不同地理区域盐沼生态地貌研究的重大进展。
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引用次数: 0
Exposure to aged polypropylene nurdle leachates disrupts photosymbiosis in a kleptoplastic unicellular eukaryote 暴露于老化的聚丙烯颗粒渗滤液中破坏了窃听器增生的单细胞真核生物的光共生
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-22 DOI: 10.1016/j.scitotenv.2026.181394
Vincent M.P. Bouchet , Leslie Muller , Adrien Brown , Noémie Deldicq , Alice Deiss , Loic Tailliez , Fabrice Bertile
Kleptoplasty, i.e. the sequestration of functional algal chloroplasts by a host organism, represents a natural case of photosymbiosis from which the host derives crucial energetic benefits. We explored here how this host-symbiont relationship is affected by polypropylene nurdle leachates in a kleptoplastidic foraminifera. When exposed to virgin nurdles, a mild proteome regulation was observed in the host, whereas photosynthetic proteins were more abundant in kleptoplasts, supplying energy to the host. These results show that, de novo protein synthesis in stolen chloroplasts and delivery of host proteins and algal proteins encoded by the host following horizontal gene transfer are necessary to maintain efficient photosymbiosis in a virgin nurdle leachate polluted environment. Conversely, aged nurdles strongly reduced the content of photosynthesis-related proteins in kleptoplasts, disrupting the host-symbiont association. Remodeling of the proteome nevertheless suggested the possibly for an increased energy production in foraminifera, through a switch from mixotrophy to heterotrophy. Benthic foraminifera are therefore truly efficient unicellular eukaryotes, with diverse and sophisticated metabolic adaptive strategies that we are just beginning to discover.
窃液成形术,即寄主有机体对功能藻类叶绿体的隔离,是光共生的一种自然情况,寄主从中获得至关重要的能量利益。我们在这里探讨了这种寄主-共生体关系如何受到有孔虫中聚丙烯颗粒渗滤液的影响。当暴露于原生微球时,在宿主中观察到轻微的蛋白质组调节,而光合蛋白在盗贼体中更丰富,为宿主提供能量。这些结果表明,被盗叶绿体中的新蛋白合成以及宿主蛋白和藻类蛋白编码的水平基因转移是在未被污染的nurdle渗滤液环境中维持有效光共生的必要条件。相反,衰老的颗粒强烈降低了盗贼体中光合作用相关蛋白的含量,破坏了宿主-共生体的联系。然而,蛋白质组的重塑表明,有孔虫通过从混合营养到异养的转变,可能增加了能量的产生。因此,底栖有孔虫是真正高效的单细胞真核生物,具有我们刚刚开始发现的多样化和复杂的代谢适应策略。
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引用次数: 0
Transformation of inorganic reactive nitrogen species in a simulated vadose zone 模拟真空带中无机活性氮的转化
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-22 DOI: 10.1016/j.scitotenv.2026.181412
Yvon Ukwishaka , Daniel N. Miller , Preetismita Borah , Daniel D. Snow , Michael Kaiser , Chittaranjan Ray , David Fleisher , Dennis Timlin , Vangamilla Reddy , Arindam Malakar
Recent research correlates irrigation water inputs with the occurrence of inorganic reactive nitrogen species in the vadose zone; particularly, low water input is linked with a greater occurrence of ammonium in intermediate vadose zone sediments beneath agriculturally intensive areas. We hypothesize that lower volume of water input, observed in rainfed agriculture, increases nitrate residence time within the vadose zone, enhancing transformations into other reactive nitrogen species. To investigate the potential relationship between inorganic nitrogen pools and water inputs, a controlled column experiment (150 cm) with intact vadose zone cores to preserve soil structure, chemical, and biological properties was established. One set of columns (n = 3) received artificial rainwater (495 mm) over 159 days, while another set (n = 3) was irrigated with an additional 272 mm of groundwater in addition to rainwater application (495 mm). These applications mirrored the farmer's irrigation schedule for the growing season and the natural rainfall at the core collection site in York County, Nebraska. A mixture of dissolved organic carbon compounds, simulating root zone exudates, was applied at the beginning of the irrigation. Initial (day 0) soil nitrate concentrations (4.1 ± 0.6 μg-N g−1) were significantly higher than final (day 159) in rainfed (2.2 ± 0.2 μg-N g−1) and irrigated systems (2.2 ± 0.3 μg-N g−1, p < 0.05) in the column experiment. Conversely, the final soil ammonium concentrations under rainfed (13.0 ± 2.8 μg-N g-1) and irrigated systems (12.7 ± 2.5 μg-N g−1) were significantly higher than day 0 soil (4.6 ± 0.5 μg-N g-1, p < 0.01). Throughout the experiment, rootzone pore water nitrate-N concentration of irrigated systems was significantly (p < 0.05) higher than in the rainfed system. Interestingly, the overall ammonium concentration of irrigated systems' groundwater was higher than that of rainfed systems, whereas the nitrate concentrations were similar. Our study suggests that differences in water volume input influence nitrogen reactivity in the vadose zone and impact reactive nitrogen transformation.
最近的研究将灌溉水的输入与渗透带无机活性氮的存在联系起来;特别是,在农业集约化地区的中间渗透带沉积物中,低水分输入与较高的铵含量有关。我们假设,在雨养农业中观察到的较低的水量输入,增加了硝酸盐在渗透区内的停留时间,促进了向其他活性氮物种的转化。为了研究无机氮库与水输入之间的潜在关系,建立了一个150 cm的控制柱实验,该实验采用完整的渗透带岩心来保持土壤结构、化学和生物特性。一组柱(n = 3)在159天内接受了人工雨水(495毫米),而另一组柱(n = 3)除了雨水(495毫米)外,还额外灌溉了272毫米地下水。这些应用程序反映了农民在生长季节的灌溉计划和内布拉斯加州约克县核心收集点的自然降雨量。在灌溉开始时施用溶解有机碳化合物的混合物,模拟根区渗出物。在柱试验中,雨养(2.2±0.2 μg-N g- 1)和灌溉(2.2±0.3 μg-N g- 1, p < 0.05)的初始(第0天)土壤硝酸盐浓度(4.1±0.6 μg-N g- 1)显著高于最终(第159天)。与之相反,雨养(13.0±2.8 μg-N g-1)和灌溉(12.7±2.5 μg-N g-1)土壤铵态氮最终浓度显著高于第0天(4.6±0.5 μg-N g-1, p < 0.01)。在整个试验过程中,灌溉系统的根区孔隙水硝酸盐- n浓度显著高于雨养系统(p < 0.05)。有趣的是,灌溉系统的地下水铵态氮浓度总体高于雨养系统,而硝酸盐浓度相似。我们的研究表明,水量输入的差异影响了渗透带中氮的反应性,并影响了活性氮的转化。
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引用次数: 0
A review of AI/ML approaches in wastewater surveillance advancement 人工智能/机器学习方法在废水监测中的进展综述
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-22 DOI: 10.1016/j.scitotenv.2026.181364
Mustafa Ali , Almotasem Bellah Younis , Chichedo I. Duru , Samendra P. Sherchan
Wastewater-based epidemiology (WBE) has emerged as a powerful tool for early detection and monitoring of infectious diseases, particularly during pandemics such as COVID-19. This study systematically evaluates the application of artificial intelligence (AI) and machine learning (ML) models in WBE over the past five years, focusing on their effectiveness in pathogen detection and disease trend forecasting. Various supervised, unsupervised, deep learning, and time-series models were compared based on their predictive accuracy, scalability, interpretability, computational demands, and real-time feasibility. Comparative analysis showed that Random Forest (RF) achieved R2 values of 0.80 and Root Mean Square Error (RMSE) 0.54 for COVID-19 trend forecasting, outperforming linear regression. Support Vector Machines (SVM) improved pathogen classification accuracy by ∼20% compared with traditional analytical techniques. Artificial Neural Networks (ANN) estimated pathogen prevalence with R = 0.81–0.92 and mean squared, while Long Short-Term Memory (LSTM) networks achieved R2 ≈ 0.81 (test) and 0.94 (train) for multi-community forecasting. Time-series machine learning models (TSML) frameworks consistently produced lower RMSE and Mean Absolute Error (MAE) values than ARIMAX models, confirming their real-time prediction power. Unsupervised models like K-means clustering supported outbreak pattern identification, when labeled data were limited. Additionally, a decision-support framework was proposed to guide model selection based on prediction objectives, data type, and temporal dependencies. The findings emphasize the importance of integrating hybrid modeling approaches and environmental metadata to enhance WBE systems, and they offer a foundation for real-time, adaptive surveillance strategies.
基于废水的流行病学(WBE)已成为早期发现和监测传染病的有力工具,特别是在COVID-19等大流行期间。本研究系统评估了人工智能(AI)和机器学习(ML)模型在过去五年中在WBE中的应用,重点关注了它们在病原体检测和疾病趋势预测方面的有效性。各种监督、无监督、深度学习和时间序列模型根据其预测准确性、可扩展性、可解释性、计算需求和实时可行性进行了比较。对比分析表明,随机森林(Random Forest, RF)预测COVID-19趋势的R2值为0.80,均方根误差(Root Mean Square Error, RMSE)为0.54,优于线性回归。与传统分析技术相比,支持向量机(SVM)将病原体分类准确率提高了约20%。人工神经网络(ANN)预测病原菌流行率的R = 0.81 ~ 0.92,均方R = 0.92,而长短期记忆(LSTM)网络在多社区预测中的R2≈0.81 (test)和0.94 (train)。时间序列机器学习模型(TSML)框架始终比ARIMAX模型产生更低的RMSE和平均绝对误差(MAE)值,证实了它们的实时预测能力。当标记数据有限时,像K-means聚类这样的无监督模型支持爆发模式识别。此外,提出了一个决策支持框架来指导基于预测目标、数据类型和时间依赖性的模型选择。研究结果强调了集成混合建模方法和环境元数据以增强WBE系统的重要性,并为实时、自适应监视策略提供了基础。
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引用次数: 0
Pesticides effects and sensitivity of enchytraeids and earthworms: A systematic review in Brazilian research and future perspectives 杀虫剂对蛭形虫和蚯蚓的影响和敏感性:巴西研究的系统综述和未来展望。
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.scitotenv.2026.181419
Thiago Ramos Freitas , Luís Carlos Iuñes de Oliveira Filho , Daniela Tomazelli , Clara Wandenkolck Silva Aragão , Vicente Arcela , Gabriel Sehnem Heck , Bianca Vidal Freire , Michelle Caroline Santos Rocha , Osmar Klauberg-Filho , Ana Letícia Madeira Sanches
The intensive use of pesticides in Brazilian agriculture may pose significant risks to soil biodiversity and ecological functions in tropical and subtropical conditions. Terrestrial oligochaetes, such as earthworms and enchytraeids, are key bioindicators for assessing pesticide toxicity due to their ecological roles in soil structure, nutrient cycling, and organic matter decomposition. This systematic review compiles 118 toxicity assessments derived from 34 studies conducted in Brazil, using natural soils or Tropical Artificial Soil (TAS), primarily involving Eisenia andrei and Enchytraeus crypticus. Insecticides accounted for the most evaluations (54%), followed by fungicides (31%) and herbicides (15%), with emphasis on substances showing high toxicity: imidacloprid, fipronil, carbendazim, and mancozeb. Soil characteristics such as pH, organic matter, and clay content played a decisive role in modulating pesticide effects, with sandy and acidic soils generally enhancing toxicity. The predominant endpoints assessed were lethality and reproduction, reflecting the reliance on standardized ISO and OECD protocols. However, the scarcity of studies involving native species and representative tropical soil types reveals a significant knowledge gap that could limit ecological realism and regulatory applicability of current data. This review underscores the urgent need for more context-specific approaches in pesticides Environmental Risk Assessment to ensure adequate protection of tropical soil ecosystems.
巴西农业中农药的大量使用可能对热带和亚热带条件下的土壤生物多样性和生态功能构成重大风险。蚯蚓、内生小毛纲等陆生寡毛纲在土壤结构、养分循环和有机质分解等方面具有重要的生态作用,是评价农药毒性的重要生物指标。本系统综述汇编了在巴西进行的34项研究得出的118项毒性评估,这些研究使用天然土壤或热带人工土壤(TAS),主要涉及爱森ia andrei和隐斑Enchytraeus。对杀虫剂的评价最多(54%),其次是杀菌剂(31%)和除草剂(15%),重点评价的是高毒性物质:吡虫啉、氟虫腈、多菌灵和代森锰锌。土壤特征如pH值、有机质和粘土含量在调节农药效应中起决定性作用,砂质和酸性土壤通常增强毒性。评估的主要终点是死亡率和繁殖率,反映了对标准化的ISO和OECD协议的依赖。然而,涉及本地物种和具有代表性的热带土壤类型的研究的稀缺性揭示了一个重大的知识缺口,这可能限制当前数据的生态现实性和调节适用性。这一综述强调了迫切需要在农药环境风险评估中采用更具体的方法,以确保对热带土壤生态系统的充分保护。
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引用次数: 0
Plasmid-borne multidrug resistance genes in environmental isolates from hospital effluent: Implications for resistance dissemination 从医院流出物中分离的质粒携带的多药耐药基因:对耐药性传播的影响。
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.scitotenv.2026.181407
Prajakti , Manish Kumar Pandey , Kunal Mukhopadhyay
Antibiotic resistance (AR) in environmental bacteria poses a critical challenge to public health, driven largely by the dissemination of antibiotic resistance genes (ARGs) via mobile genetic elements such as plasmids. In our previously reported work, environmental bacterial isolates were obtained from diverse aquatic sources contaminated by hospital effluents, and their antibiotic susceptibility profiles were determined. Species-level identification of isolates as Aeromonas spp. was achieved through 16S rRNA sequencing, revealing a diverse microbiota harbouring multidrug resistance (MDR) traits. In the present study, plasmids sequence was reconstructed using the plasmidSPAdes assembler. The assembled plasmid sequences were interrogated against the Comprehensive Antibiotic Resistance Database (CARD), enabling the identification of ARGs and associated accessory genes. Comparative analysis of the five reconstructed plasmid sequences was conducted through network analysis, which allowed the segregation of ARGs shared across all plasmids from those uniquely present. Representative ARGs identified as common were selected for experimental validation. PCR amplification and sequencing detected these target ARGs within the plasmids of different isolates. Subsequently, their abundance was quantified using absolute qPCR, providing precise copy number/μL. This integrated approach from plasmid reconstruction to ARG network mapping and quantitative validation offers a robust framework for understanding the distribution and prevalence of plasmid borne ARGs in environmental bacteria. The findings underscore the pivotal role of plasmids in ARG dissemination and highlight the importance of coupling in silico analysis with experimental confirmation for comprehensive resistance surveillance.
环境细菌中的抗生素耐药性(AR)对公共卫生构成了重大挑战,主要是由于抗生素耐药性基因(ARGs)通过质粒等可移动遗传元件传播。在我们之前报道的工作中,从医院污水污染的各种水生来源中获得环境细菌分离株,并确定其抗生素敏感性谱。通过16S rRNA测序,对分离的气单胞菌进行了种水平的鉴定,揭示了具有多药耐药(MDR)特征的多种微生物群。本研究利用质粒spades组装器重构质粒序列。将组装好的质粒序列与综合抗生素耐药性数据库(CARD)比对,鉴定出ARGs及其附属基因。通过网络分析对5个重构质粒序列进行比较分析,使所有质粒共有的ARGs与唯一存在的ARGs分离开来。选取具有代表性的常见arg进行实验验证。PCR扩增和测序在不同菌株的质粒中检测到这些目标ARGs。随后,使用绝对qPCR定量它们的丰度,提供精确的拷贝数/μL。这种从质粒重建到ARG网络映射和定量验证的综合方法为了解质粒携带的ARG在环境细菌中的分布和流行提供了一个强大的框架。这些发现强调了质粒在ARG传播中的关键作用,并强调了将硅分析与实验确认结合起来进行综合耐药性监测的重要性。
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引用次数: 0
Bioremediation of ether PFAS alternatives: A structure-reactivity-partitioning framework for hybrid treatment design 醚PFAS替代品的生物修复:混合处理设计的结构-反应性-分配框架。
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.scitotenv.2026.181367
Huimin Zhang , Panpan Liu , Chichedo I. Duru , Tania Moharrery , Donghee Kang , Samendra P. Sherchan
Ether-based PFAS such as HFPO-DA (GenX), ADONA, and chlorinated PFESAs (F-53B) have replaced legacy PFOS and PFOA but remain environmentally persistent and biologically recalcitrant. Their ether linkages, electron-withdrawing headgroups, and perfluorinated backbones hinder enzymatic access and CF bond cleavage. Current evidence indicates slow oxidative modification for GenX, while ADONA remains largely resistant and undergoes only chemical (total oxidizable precursor (TOP)-like) oxidation to PFMOPrA; F-53B is subject to reductive dechlorination to 6:2H-PFESA without defluorination. This review synthesizes molecular-to-process-level insights on bioremediation of ether-PFAS substitutes, consolidating recent data from microbial, fungal, enzymatic, and plant systems. A clear structure–reactivity rule was identified: α-C–H/α-CHF or CCl “handles” facilitate transformation, whereas full fluorination and steric shielding enforce persistence. Because intrinsic biological turnover is slow, hybrid treatment trains that combine physicochemical pre-activation (UV/sulfite, electro-Fenton, plasma, or vitamin B12/sulfide reduction) with aerobic or rhizospheric bio-polishing offer a credible route to partial mineralization (≈10–30% defluorination). Emerging genetically enhanced systems: engineered microbes expressing oxygenases, dehalogenases, or fluoride-export modules, and transgenic plants harboring oxidative enzymes, represent the next frontier for bridging chemical activation and biological degradation. A technology-readiness matrix ranks feasible chemo-bio scenarios across water, sludge, and soil environments. This review outlines a research agenda that integrates enzyme design, synthetic biology chassis optimization, and structure-guided modeling to predict degradability. Embedding molecular persistence into regulatory assessment is essential to prevent future “regrettable replacements.”
基于醚的PFAS,如HFPO-DA (GenX)、ADONA和氯化PFAS (F-53B)已经取代了传统的PFOS和PFOA,但仍然具有环境持久性和生物顽固性。它们的醚键、吸电子头基和全氟骨架阻碍酶的进入和CF键的切割。目前的证据表明GenX的氧化修饰缓慢,而ADONA仍然具有很大的抗性,并且只经历化学(总可氧化前体(TOP)样)氧化为PFMOPrA;F-53B需在不除氟的情况下还原脱氯至6:2 h - pfea。本综述综合了醚- pfas替代品的分子到工艺水平的生物修复见解,整合了微生物,真菌,酶和植物系统的最新数据。发现了一个明确的结构-反应性规则:α-C-H/α-CHF或CCl“手柄”促进转化,而全氟化和空间屏蔽促进持久性。由于内在生物循环缓慢,结合物理化学预活化(UV/亚硫酸盐、电fenton、等离子体或维生素B12/硫化物还原)与好氧或根际生物抛光的混合处理方案提供了部分矿化(≈10-30%脱氟)的可靠途径。新兴的基因增强系统:表达加氧酶、脱卤酶或氟化物输出模块的工程微生物,以及含有氧化酶的转基因植物,代表了连接化学激活和生物降解的下一个前沿领域。技术准备矩阵对水、污泥和土壤环境中可行的化学-生物方案进行了排名。本文概述了整合酶设计,合成生物学底盘优化和结构指导建模来预测降解性的研究议程。在监管评估中嵌入分子持久性对于防止未来出现“令人遗憾的替代”至关重要。
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引用次数: 0
Mitigation of antibiotic resistance genes and pathogens via black soldier fly-mediated bioconversion of chicken manure 通过黑兵蝇介导的鸡粪生物转化减轻抗生素抗性基因和病原体。
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.scitotenv.2026.181409
Yun-Ying Wu , Yuan-Yu Lin
The widespread use of antibiotics in poultry production has resulted in manure residues that harbor antibiotic resistance genes (ARGs) and multidrug-resistant bacteria, posing serious risks to environmental and public health. The black soldier fly (Hermetia illucens) is an emerging bioconversion agent that efficiently transforms organic wastes into nutrient-rich biomass. However, its impact on the fate of ARGs and pathogenic bacteria during poultry manure recycling remains insufficiently understood.
This study investigated the dynamics of microbial communities and ARGs during black soldier fly larvae (BSFL)-mediated bioconversion of chicken manure. Eight representative ARGs (sul1, tetA, tetB, tetG, blaTEM, blaCTX, blaSHV, and qnrB) were quantified by qPCR, while bacterial community composition was analyzed through 16S rRNA sequencing and functional prediction using PICRUSt. BSFL treatment significantly reduced the relative abundance of tetracycline resistance genes (tetA, tetB, tetG) and pathogenic taxa such as Acinetobacter, Clostridium, Enterococcus, and Escherichia-Shigella in manure residues. In contrast, ARGs including sul1, qnrB, and β-lactamase-related genes accumulated in larval guts, likely due to enrichment of ARG-associated genera (Providencia, Enterococcus, Dysgonomonas) carrying mobile genetic elements.
Overall, BSFL bioconversion effectively mitigated ARGs and pathogens in manure residues, contributing to safer livestock waste recycling. Nonetheless, ARG retention within larval guts highlights the need for post-harvest safety measures to prevent downstream dissemination. These findings advance the understanding of ARG ecology in biological waste treatment systems and support the development of sustainable manure management strategies aligned with the One Health framework.
抗生素在家禽生产中的广泛使用导致粪便残留物含有抗生素耐药基因(ARGs)和耐多药细菌,对环境和公共卫生构成严重风险。黑兵蝇(Hermetia illucens)是一种新兴的生物转化剂,它能有效地将有机废物转化为富含营养的生物质。然而,在禽粪循环利用过程中,其对ARGs和致病菌命运的影响尚不清楚。研究了黑兵蝇(BSFL)介导的鸡粪生物转化过程中微生物群落和ARGs的动态变化。通过qPCR对sul1、tetA、tetB、tetG、blaTEM、blaCTX、blaSHV和qnrB等8种代表性ARGs进行定量分析,通过16S rRNA测序分析细菌群落组成,并利用PICRUSt进行功能预测。BSFL处理显著降低了粪便残留物中四环素耐药基因(tetA、tetB、tetG)的相对丰度和致病类群(如不动杆菌、梭状芽胞杆菌、肠球菌、志贺氏杆菌)的相对丰度。相比之下,ARGs包括sul1、qnrB和β-内酰胺酶相关基因在幼虫肠道中积累,可能是由于ARGs相关属(Providencia、Enterococcus、Dysgonomonas)携带移动遗传元件的富集。总体而言,BSFL生物转化有效地减轻了粪便残留物中的ARGs和病原体,有助于更安全地回收禽畜废物。然而,ARG在幼虫肠道内的保留突出了采后安全措施的必要性,以防止下游传播。这些发现促进了对生物废物处理系统中ARG生态学的理解,并支持制定符合“同一个健康”框架的可持续粪便管理战略。
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引用次数: 0
GeoDetector-based assessment of DOC–metal risk hotspots and LULC–climate projections in the Upper Meghna River system 基于geodetector的上游梅克纳河水系doc -金属风险热点评估及lulc -气候预测
IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.scitotenv.2026.181382
Fahmida Sultana , Zia Ahmed , M. Safiur Rahman , Fei Zhang
Dissolved organic carbon (DOC) plays a pivotal role in regulating the mobility and bioavailability of trace metals in freshwater systems, yet its interactions with land-use and climate drivers remain poorly constrained in South Asian river basins. This study identifies key risk thresholds and examines their spatial and future implications for DOC–metal interactions in the Upper Meghna River, Bangladesh. Using the Geographical Detector Method (GDM), spatial hotspot statistics (Getis-Ord Gi*, Local Moran's I), interpretable machine learning (ICE, ALE, LIME), and Bayesian Belief Networks (BBN), DOC enrichment above ~6 mg L−1 and built-up land cover exceeding ~25% are shown to consistently elevate the probability of high-risk conditions, particularly for Pb, Cr, and Ni. These threshold exceedances are spatially concentrated near industrial areas, market centers, and launch terminals, where multiple analytical frameworks converge on similar hotspot signals across 23 monitoring stations. Future land-use/land-cover projections and CMIP6 climate scenarios (SSP2–4.5 and SSP5–8.5) indicate that hotspot extents may expand by 10–15% by 2050, driven by continued urbanization and intensified monsoon processes. The findings support the adoption of threshold-based monitoring, spatially targeted mitigation at key anthropogenic nodes, and nature-based solutions such as riparian buffers. Incorporating DOC–metal thresholds into India–Bangladesh cooperative frameworks could strengthen evidence-based transboundary river governance.
溶解有机碳(DOC)在调节淡水系统中微量金属的流动性和生物利用度方面发挥着关键作用,但在南亚河流流域,其与土地利用和气候驱动因素的相互作用仍然缺乏限制。本研究确定了关键的风险阈值,并考察了它们对孟加拉国梅克纳河上游doc -金属相互作用的空间和未来影响。利用地理探测器方法(GDM)、空间热点统计(Getis-Ord Gi*、Local Moran’s I)、可解释机器学习(ICE、ALE、LIME)和贝叶斯信念网络(BBN), DOC浓度超过~6 mg L-1和建筑用地覆盖超过~25%,显示出持续提高高风险条件的概率,特别是Pb、Cr和Ni。这些阈值超标在空间上集中在工业区、市场中心和发射终端附近,在那里,多个分析框架汇聚在23个监测站的类似热点信号上。未来土地利用/土地覆盖预估和CMIP6气候情景(SSP2-4.5和SSP5-8.5)表明,在持续城市化和季风过程加剧的驱动下,到2050年热点范围可能扩大10-15%。研究结果支持采用基于阈值的监测、针对关键人为节点的空间定向缓解以及基于自然的解决方案,如河岸缓冲。将DOC-metal阈值纳入印度-孟加拉国合作框架可以加强基于证据的跨界河流治理。
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引用次数: 0
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Science of the Total Environment
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