Zhang Haonan, Ruan Chendao, Chen Lijiang, Fan Xiaojun, Jia Fei, Tong Jianhao, Zhang Chun, Shi Jiyan
Department of Environmental Engineering, College of Environmental and Resource Science, Zhejiang University, Hangzhou 310058, China; MOE Key Laboratory of Environmental Remediation and Ecological Health, College of Environmental and Resource Science, Zhejiang University, Hangzhou 310058, China.
Zhejiang Deqing Ecological Environment Monitoring Station, Bureau of Ecology and Environment of Huzhou City, Huzhou 313200, China.
J Hazard Mater. 2025 Aug 15;494:138426. doi: 10.1016/j.jhazmat.2025.138426. Epub 2025 May 1.
This observational research established a methodological framework for source apportionment of heavy metal contamination and proposed novel microbial mechanical insights into the Cd accumulation processes of rice (Oryza sativa L.) grains using data-based modelling in a regional scale. Combined analysis of RF-PMF apportioned heavy metal contamination of 3067 soil samples collected from the north of Zhejiang Province, China. Parent material (22.53 %), agricultural input (9.37 %), human activity (6.23 %) and enterprise activity (4.19 %) have synergetic effects on soil Cd pollution. Moreover, PLSPM systematiclly clarified mechanical pathways of Cd accumulation in rice grains integrating all the driving factors. Representative fungal genera of Stellatospora, Zopfiella, Schizothecium, Cirrenalia released bioavailable Se and Cd into soil during decomposition of remains, thereby affecting grain Cd accumulation. The dominant bacterial genera of MBNT15, Gemmatimonas, Thermodesulfovibrio, MND1 enhanced S/N cycling and redox ability to relieve oxidative stress from bioavailable Cd, thereby reducing Cd accumulation in grains. Application of biofertilizers containing representative microbial genera above could be beneficial to future agricultural practices By elucidating interactions of environmental factors and microbial communities in rhizosphere habitats, our findings could be used as a reference for mechanical regulation of Cd accumulation in crop grains within Cd-contaminated seleniferous paddy fields.
这项观察性研究建立了一个重金属污染源解析的方法框架，并利用区域尺度上基于数据的建模方法，对水稻（Oryza sativa L.）籽粒镉积累过程提出了新的微生物力学见解。通过随机森林-正定矩阵因子分解（RF-PMF）对中国浙江省北部采集的3067个土壤样品的重金属污染进行了综合分析。母质（22.53%）、农业投入（9.37%）、人类活动（6.23%）和企业活动（4.19%）对土壤镉污染具有协同作用。此外，偏最小二乘结构方程模型（PLSPM）系统地阐明了水稻籽粒镉积累的力学途径，整合了所有驱动因素。在残体分解过程中，Stellatospora、Zopfiella、Schizothecium、Cirrenalia等代表性真菌属向土壤中释放生物可利用的硒和镉，从而影响籽粒镉积累。MBNT15、Gemmatimonas、嗜热脱硫弧菌、MND1等优势细菌属增强了硫/氮循环和氧化还原能力，以缓解生物可利用镉的氧化应激，从而减少籽粒中的镉积累。施用含有上述代表性微生物属的生物肥料可能有利于未来的农业实践。通过阐明根际生境中环境因素与微生物群落的相互作用，我们的研究结果可为镉污染富硒稻田中作物籽粒镉积累的力学调控提供参考。
