Wei Ying, Zhu Yukun, Yang Liqun, Chen Chen, Yue Ming, Mao Zhuxin, Wang Yuchao, Li Qian, Li Yang, Lv Jinlin, Xue Wenyan
Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, Xi'an, 710061, Shaanxi, China.
Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an, 710061, China.
Sci Rep. 2025 Jan 8;15(1):1278. doi: 10.1038/s41598-025-85754-0.
Bacteria, fungi, archaea, and viruses are reflective organisms that indicate soil health. Investigating the impact of crude oil pollution on the community structure and interactions among bacteria, fungi, archaea, and viruses in Calamagrostis epigejos soil can provide theoretical support for remediating crude oil pollution in Calamagrostis epigejos ecosystems. In this study, Calamagrostis epigejos was selected as the research subject and subjected to different levels of crude oil addition (0 kg/hm, 10 kg/hm, 40 kg/hm). Metagenomic sequencing technology was employed to analyze the community structure and diversity of soil bacteria, fungi, archaea, and viruses. Additionally, molecular ecological network analysis was integrated to explore species interactions and ecosystem stability within these microbial communities. The functional profiles of soil microorganisms were elucidated based on data from the KEGG database. Results demonstrated a significant increase in petroleum hydrocarbon content, polyphenol oxidase activity, hydrogen peroxide enzyme activity, and acid phosphatase activity upon crude oil addition, while β-glucosidase content, fiber disaccharide hydrolase content, and tiller number decreased (P < 0.05). Proteobacteria and Actinobacteria were identified as dominant bacterial phyla; Ascomycota, Basidiomycota, and Mucoromycota were found to be dominant fungal phyla; Thaumarchaeota emerged as a dominant archaeal phylum; and Uroviricota represented a dominant viral phylum. The diversity of soil bacterial, fungal, archaeal, and viral communities increased with higher amounts of added crude oil. Ecological network analysis revealed a robust collaborative relationship among bacterial, fungal, archaeal, and viral community species in the control treatment (CK), while strong competitive relationships were observed among these species in the treatments with 10% (F10) and 40% (F40) crude oil concentrations. Structural equation modeling analysis indicated significant positive correlations between fungal community, viral community, enzyme activity, and plant growth; conversely, bacterial and archaeal communities showed significant negative correlations with plant growth (P < 0.05). Correlation analysis identified acid phosphatase as the primary environmental factor influencing soil microbial function. Acid phosphatase levels along with tiller number, aboveground biomass, and petroleum hydrocarbons significantly influenced the fungal community (P < 0.05), while underground biomass had a significant impact on the archaeal community (P < 0.05). Acid phosphatase levels along with cellulose-hydrolyzing enzymes, tiller number, and petroleum hydrocarbons exhibited significant effects on the viral community (P < 0.05). This study investigated variations in bacterial, fungal, archaeal, and viral communities under different crude oil concentrations as well as their driving factors, providing a theoretical foundation for evaluating Calamagrostis epigejos' potential to remediate crude oil pollution.
细菌、真菌、古菌和病毒是反映土壤健康状况的生物。研究原油污染对拂子茅土壤中细菌、真菌、古菌和病毒群落结构及相互作用的影响,可为拂子茅生态系统原油污染修复提供理论支持。本研究选取拂子茅作为研究对象,设置不同水平的原油添加量(0 kg/hm、10 kg/hm、40 kg/hm)。采用宏基因组测序技术分析土壤细菌、真菌、古菌和病毒的群落结构及多样性。此外,结合分子生态网络分析探讨这些微生物群落内的物种相互作用和生态系统稳定性。基于KEGG数据库的数据阐明土壤微生物的功能概况。结果表明,添加原油后,石油烃含量、多酚氧化酶活性、过氧化氢酶活性和酸性磷酸酶活性显著增加,而β-葡萄糖苷酶含量、纤维二糖水解酶含量和分蘖数减少(P<0.05)。变形菌门和放线菌门被鉴定为主要细菌门类;子囊菌门、担子菌门和毛霉门被发现是主要真菌门类;奇古菌门是主要古菌门类;尾病毒目是主要病毒门类。土壤细菌、真菌、古菌和病毒群落的多样性随着原油添加量的增加而增加。生态网络分析表明,对照处理(CK)中细菌、真菌、古菌和病毒群落物种之间存在强大的协作关系,而在原油浓度为10%(F10)和40%(F40)的处理中,这些物种之间观察到强烈的竞争关系。结构方程模型分析表明,真菌群落、病毒群落、酶活性和植物生长之间存在显著正相关;相反,细菌和古菌群落与植物生长呈显著负相关(P<0.05)。相关性分析确定酸性磷酸酶是影响土壤微生物功能的主要环境因子。酸性磷酸酶水平以及分蘖数、地上生物量和石油烃显著影响真菌群落(P<0.05),而地下生物量对古菌群落有显著影响(P<0.05)。酸性磷酸酶水平以及纤维素水解酶、分蘖数和石油烃对病毒群落有显著影响(P<0.05)。本研究调查了不同原油浓度下细菌、真菌、古菌和病毒群落的变化及其驱动因素,为评估拂子茅修复原油污染的潜力提供了理论基础。
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