Sensitive indicator microorganisms and C,N-cycle processes in soil with different petroleum hydrocarbon pollution levels

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Ting Zhang , Xuhong Zhang , Zeliang Liu , Yawen Ou , Xuhong Duan , Manli Wu
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Abstract

Total petroleum hydrocarbon(TPH) is toxic to soil microorganisms and humans and has become a serious public concern. This study employed chemical analysis, high-throughput sequencing, and KEGG database functional gene annotation to investigate microbial responses to TPH contamination and identify potential bioindicators for soil toxicity assessment. Our results demonstrated that TPH stress significantly altered soil microbial community stability and functional structure. In contaminated soils, the relative abundance of Actinomycetes increased by 14.03–25.06 %, while Ascomycetes and Mortieres increased by 0.85–2.2 % and 1.62–2.39 %, respectively, compared to uncontaminated soil. The Mantel test analysis identified that Nocardioides, unclassified-Micrococcaceae, Streptomyces, and Gibberella as robust bioindicators petroleum contamination(p < 0.05). Network analysis revealed that petroleum hydrocarbons enhanced microbial community complexity, with network edges increasing by 20–90 % in contaminated soils. PICRUSt2 functional prediction showed that TPH pollution altered microbial metabolic pathways, with bacterial metabolic processes and fungal biosynthesis processes dominating (>60 %) the total pathways. The abundance of nitrification genes involved in nitrogen transformation was positively correlated with soil oil content, denitrification, and nitrogen-fixing genes showed a negative correlation with TPH content. Expressions of functional genes involved in carbon photosynthesis fixation are inhibited in oil-contaminated soil with the hydroxypropanoate-hydroxybutylate cycle (M00375) being the main carbon cycle pathway.
不同石油烃污染程度土壤中敏感指示微生物及C、n循环过程
石油总烃(TPH)对土壤微生物和人体都有毒性,已成为公众严重关注的问题。本研究采用化学分析、高通量测序和KEGG数据库功能基因注释来研究微生物对TPH污染的反应,并确定潜在的土壤毒性评价生物指标。结果表明,TPH胁迫显著改变了土壤微生物群落的稳定性和功能结构。污染土壤放线菌相对丰度比未污染土壤增加14.03 ~ 25.06 %,子囊菌相对丰度比未污染土壤增加0.85 ~ 2.2 %,子囊菌相对丰度比未污染土壤增加1.62 ~ 2.39 %。Mantel试验分析发现Nocardioides、未分类微球菌科、Streptomyces和Gibberella是石油污染的可靠生物指标(p <; 0.05)。网络分析表明,石油烃增加了污染土壤中微生物群落的复杂性,网络边缘增加了20-90 %。PICRUSt2功能预测显示,TPH污染改变了微生物代谢途径,细菌代谢过程和真菌生物合成过程占主导地位(>60 %)。参与氮素转化的硝化基因丰度与土壤含油量呈正相关,反硝化基因丰度与土壤TPH含量呈负相关。在含油土壤中,参与碳光合作用固定的功能基因表达受到抑制,其中羟丙酸-羟丁酸循环(M00375)是主要的碳循环途径。
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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