Community characteristics of prokaryotic microorganisms in petroleum hydrocarbon contaminated groundwater

doi:10.19965/j.cnki.iwt.2024-0077

Abstract

Abstract:

In order to investigate the relationship between prokaryotic microbial communities and total petroleum hydrocarbon(TPH) contamination, high-throughput sequencing technology was used to investigate the microbial community structure in groundwater contaminated with petroleum hydrocarbons(TPH 0.01-2.09 mg/L). The results showed that the bacterial community was more sensitive to petroleum hydrocarbon contamination. At the phylum level, the largest relative abundance of archaea and bacteria were Euryarchaeota(34.63%-92.73%) and Proteobacteria(72.18%-83.34%), respectively. The abundances of Methanogens spp. in archaea and Acinetobacter, Rhodobacter, Pseudomonas, and Novosphingobium in bacteriain of the wells with high concentration petroleum hydrocarbons were significantly higher than that of other wells. Compared with archaea, bacterial community structure was more closely related to the tolerance of petroleum hydrocarbons. Other physical and chemical properties of groundwater, such as pH, sampling depth, ORP, temperature, and DO, also had impacts on community structure. The top 100 sequences with the highest abundance were selected from the archaeal operational taxonomic(OTU) group and bacterial amplicon sequence variant(ASV) group to construct a co-occurrence network. Through co-occurrence network analysis, three ecological modules related to petroleum hydrocarbon degradation processes were identified, and the relative abundance differences of the three modules were significantly related to TPH tolerance, with Euryarchaeota and Proteobacteria as the main members of the modules.

Key words: groundwater, total petroleum hydrocarbons, microbial community structure, co-occurrence network

摘要：

为探究原核微生物群落与总石油烃（TPH）污染之间的关系，采用高通量测序技术对某废弃化工厂内受石油烃污染（TPH 0.01~2.09 mg/L）的地下水中的微生物群落结构进行研究。结果表明：细菌群落对石油烃污染更敏感，在门水平上，古菌和细菌中相对丰度最大的分别为Euryarchaeota（34.63%~92.73%）和Proteobacteria（72.18%~83.34%），古菌中的产甲烷菌和细菌中的Acinetobacter、Rhodobacter、Pseudomonas、Novosphingobium在石油烃高污染井地下水中的丰度显著高于在其他井地下水中的丰度；与古菌相比，细菌群落结构与菌群自身对石油烃的耐受性相关性更高；地下水的其他理化性质，如pH、采样深度、ORP、温度、DO对群落结构亦有影响；分别在古菌操作分类单元（OTU）组及细菌扩增子序列变体（ASV）组中选取丰度最高的前100组序列构建共发生网络，通过共发生网络分析，确定了与石油烃降解过程有关的3个生态模块，且3个模块的相对丰度差异与TPH耐受性呈显著相关性，模块中主要成员为Euryarchaeota和Proteobacteria。

关键词: 地下水, 总石油烃, 微生物群落结构, 共发生网络

CLC Number:

X703.1

Dan ZHANG, Baohua TU, Xueming WANG, Hongyang YIN, Zhao SUN. Community characteristics of prokaryotic microorganisms in petroleum hydrocarbon contaminated groundwater[J]. Industrial Water Treatment, 2025, 45(2): 166-174.

张丹, 涂保华, 汪学明, 殷鸿洋, 孙昭. 石油烃污染地下水中原核微生物群落特征[J]. 工业水处理, 2025, 45(2): 166-174.

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https://www.iwt.cn/EN/Y2025/V45/I2/166

Figures/Tables 6

References 35

1	ZHAO Bei， HUANG Fuyang， ZHANG Chong，et al. Pollution characteristics of aromatic hydrocarbons in the groundwater of China［J］. Journal of Contaminant Hydrology，2020，233：103676. doi:10.1016/j.jconhyd.2020.103676
2	HSIA K F， CHEN C C， OU J H，et al. Treatment of petroleum hydrocarbon-polluted groundwater with innovative in situ sulfate-releasing biobarrier［J］. Journal of Cleaner Production，2021，295：126424. doi:10.1016/j.jclepro.2021.126424
3	李婵. 浅谈石油化工废水对地下水的污染［J］. 山西化工，2022，42（9）：182-184.
	LI Chan. Pollution of petrochemical wastewater to groundwater［J］. Shanxi Chemical Industry，2022，42（9）：182-184.
4	ZHANG Min， GUO Caijuan， SHI Chan，et al. A quantitative redox zonation model for developing natural attenuation-based remediation strategy in hydrocarbon-contaminated aquifers［J］. Journal of Cleaner Production，2021，290：125743. doi:10.1016/j.jclepro.2020.125743
5	蔡萍萍，宁卓，何泽，等. 采油井场土壤微生物群落结构分布［J］. 环境科学，2018，39（7）：3329-3338.
	CAI Pingping， NING Zhuo， HE Ze，et al. Microbial community distributions in soils of an oil exploitation site［J］. Environmental Science，2018，39（7）：3329-3338.
6	APARICI-CARRATALÁ D， ESCLAPEZ J， BAUTISTA V，et al. Archaea：Current and potential biotechnological applications［J］. Research in Microbiology，2023，174（7）：104080. doi:10.1016/j.resmic.2023.104080
7	DELGADO-BAQUERIZO M， MAESTRE F T， REICH P B，et al. Microbial diversity drives multifunctionality in terrestrial ecosystems［J］. Nature Communications，2016，7：10541. doi:10.1038/ncomms10541
8	CUI Jiaqi， CHEN Hong， SUN Mingbo，et al. Comparison of bacterial community structure and function under different petroleum hydrocarbon degradation conditions［J］. Bioprocess and Biosystems Engineering，2020，43（2）：303-313. doi:10.1007/s00449-019-02227-1
9	任厚毅. 神秘古菌有望 “复活” 老油田［J］. 中国科技纵横，2022（1）：19-20.
10	程晓钰. 中国南方喀斯特洞穴甲烷汇的微生物作用研究［D］. 武汉：中国地质大学，2023.
	CHENG Xiaoyu. Study on microbial function of methane sink in Karst caves in Southern China［D］. Wuhan：China University of Geosciences，2023.
11	宋震，苏亚庆，王卉卉，等. 油田采油区土壤中古菌多样性特征研究［J］. 青岛科技大学学报（自然科学版），2017，38（S1）：30-34.
	SONG Zhen， SU Yaqing， WANG Huihui，et al. Study on archaeal biodiversity in soils in oilfield［J］. Journal of Qingdao University of Science and Technology（Natural Science Edition），2017，38（S1）：30-34.
12	BRUCKBERGER M C， MORGAN M J， BASTOW T P，et al. Investigation into the microbial communities and associated crude oil-contamination along a Gulf War impacted groundwater system in Kuwait［J］. Water Research，2020，170：115314. doi:10.1016/j.watres.2019.115314
13	喻东. 细菌系统发育分析新方法及其应用的研究［D］. 北京：中国人民解放军军事医学科学院，2015.
	YU Dong. Study on new method of bacterial phylogenetic analysis and its application［D］. Beijing：Academy of Military Medical Sciences，2015.
14	郝春博，王广才，董健楠，等. 石油污染地下水中细菌多样性研究［J］. 环境科学，2009，30（8）：2464-2472.
	HAO Chunbo， WANG Guangcai， DONG Jiannan，et al. Bacterial biodiversity in the groundwater contaminated by oil［J］. Environmental Science，2009，30（8）：2464-2472.
15	HARAYAMA S， KASAI Y， HARA A. Microbial communities in oil-contaminated seawater［J］. Current Opinion in Biotechnology，2004，15（3）：205-214. doi:10.1016/j.copbio.2004.04.002
16	SHI Ke， YANG Yuping， QIAO Yanlu，et al. Oil degradation ability difference and microbial community successions by Ochrobactrum and Shewanella in different oil-polluted seawater［J］. Journal of Environmental Chemical Engineering，2022，10（5）：108392. doi:10.1016/j.jece.2022.108392
17	IMINOVA L， DELEGAN Y， FRANTSUZOVA E，et al. Physiological and biochemical characterization and genome analysis of Rhodococcus qingshengii strain 7B capable of crude oil degradation and plant stimulation［J］. Biotechnology Reports，2022，35：e00741. doi:10.1016/j.btre.2022.e00741
18	徐兵，俞理，马原栋，等. 原油降解菌苍白杆菌属的性能及菌株筛选［J］. 新疆石油地质，2019，40（2）：213-217.
	XU Bing， YU Li， MA Yuandong，et al. Properties of Ochrobactrum of crude oil degrading bacteria and strain screening［J］. Xinjiang Petroleum Geology，2019，40（2）：213-217.
19	WANG Jili， ZHANG Yuling， DING Yang，et al. Comparing the indigenous microorganism system in typical petroleum-contaminated groundwater［J］. Chemosphere，2023，311：137173. doi:10.1016/j.chemosphere.2022.137173
20	赵旭前，郑求根，张贺，等. 地下水石油污染微生物修复技术前瞻［J］. 环境科学与技术，2023，46（7）：117-129.
	ZHAO Xuqian， ZHENG Qiugen， ZHANG He，et al. Prospect of microbial remediation technology for petroleum contaminated groundwater［J］. Environmental Science & Technology，2023，46（7）：117-129.
21	SUTTON N B， MAPHOSA F， MORILLO J A，et al. Impact of long-term diesel contamination on soil microbial community structure［J］. Applied and Environmental Microbiology，2013，79（2）：619-630. doi:10.1128/aem.02747-12
22	XIE Wei， ZHANG Chuanlun， ZHOU Xuedan，et al. Salinity-dominated change in community structure and ecological function of archaea from the lower Pearl River to coastal South China Sea［J］. Applied Microbiology and Biotechnology，2014，98（18）：7971-7982. doi:10.1007/s00253-014-5838-9
23	ATLAS R M， STOECKEL D M， FAITH S A，et al. Oil biodegradation and oil-degrading microbial populations in marsh sediments impacted by oil from the deepwater horizon well blowout［J］. Environmental Science & Technology，2015，49（14）：8356-8366. doi:10.1021/acs.est.5b00413
24	原陇苗，王之语，邵媛媛，等. 石油烃降解菌Acinetobacter sp. 5-5对正十六烷的降解特性研究［J/OL］.沉积学报. ［2024-11-30］.
	YUAN Longmiao， WANG Zhiyu， SHAO Yuanyuan， et al. Degradation characteristics of n-hexadecane by petroleum hydrocarbon-degrading bacteria Acinetobacter sp. 5-5 ［J/OL］. Acta Sedimentologica Sinica. ［2024-11-30］.
25	周萍，李海明，张翠霞，等. 滨海石油烃污染场地地下水微生物群落特征［J］. 环境科学与技术，2023，46（8）：48-56.
	ZHOU Ping， LI Haiming， ZHANG Cuixia，et al. Relationship between groundwater petroleum hydrocarbon contamination zoning and biological communities in coastal pollution sites［J］. Environmental Science & Technology，2023，46（8）：48-56.
26	孙娟，王宁，陈宏坤，等. 石油污染土壤微生物群落分布特征［J］. 石油学报（石油加工），2021，37（2）：372-383.
	SUN Juan， WANG Ning， CHEN Hongkun，et al. Distribution characteristics of the microbial community in oil-contaminated soil［J］. Acta Petrolei Sinica（Petroleum Processing Section），2021，37（2）：372-383.
27	GE Qingfeng， GU Yubin， ZHANG Wangang，et al. Comparison of microbial communities from different Jinhua ham factories［J］. AMB Express，2017，7（1）：37. doi:10.1186/s13568-017-0334-0
28	张皓辉，史俊祥，姜永海，等. 某污染场地地下水石油烃的健康风险评估及其微生物群落分析［J］. 环境科学研究，2022，35（4）：1063-1071.
	ZHANG Haohui， SHI Junxiang， JIANG Yonghai，et al. Health risk assessment and microbial community analysis of petroleum hydrocarbons in groundwater of a contaminated site［J］. Research of Environmental Sciences，2022，35（4）：1063-1071.
29	方绍燕，张辉. 胜利油田油泥沙细菌和古菌多样性研究［J］. 中国沼气，2014，32（6）：3-8.
	FANG Shaoyan， ZHANG Hui. Research on diversity of bacteria and archaea in oily sludge of Shengli Oilfield［J］. China Biogas，2014，32（6）：3-8.
30	JIANG Yiming， HUANG Haiying， TIAN Yanrong，et al. Stochasticity versus determinism：Microbial community assembly patterns under specific conditions in petrochemical activated sludge［J］. Journal of Hazardous Materials，2021，407：124372. doi:10.1016/j.jhazmat.2020.124372
31	XIAO Xian， LIANG Yuting， ZHOU Sai，et al. Fungal community reveals less dispersal limitation and potentially more connected network than that of bacteria in bamboo forest soils［J］. Molecular Ecology，2018，27（2）：550-563. doi:10.1111/mec.14428
32	LIAO Xiaobin， CHEN Chao， WANG Zhao，et al. Changes of biomass and bacterial communities in biological activated carbon filters for drinking water treatment［J］. Process Biochemistry，2013，48（2）：312-316. doi:10.1016/j.procbio.2012.12.016
33	WANG Qinghong， LIANG Ying， ZHAO Peng，et al. Potential and optimization of two-phase anaerobic digestion of oil refinery waste activated sludge and microbial community study［J］. Scientific Reports，2016，6：38245. doi:10.1038/srep38245
34	刘玉华，王慧，胡晓珂. 不动杆菌属（Acinetobacter）细菌降解石油烃的研究进展［J］. 微生物学通报，2016，43（7）：1579-1589.
	LIU Yuhua， WANG Hui， HU Xiaoke. Recent advances in the biodegradation of hydrocarbons by Acinetobacter species［J］. Microbiology China，2016，43（7）：1579-1589.
35	YAN Lijuan， YU Dan， HUI Nan，et al. Distribution of archaeal communities along the coast of the gulf of Finland and their response to oil contamination［J］. Frontiers in Microbiology，2018，9：15. doi:10.3389/fmicb.2018.00015

项目	W1	W2	W3	W4	W5
TPH/（mg·L^-1）	0.01±0.003^a	0.58±0.02^b	0.59±0.19^b	2.02±0.69^c	2.09±0.58^d
DO/（mg·L^-1）	4.25	5.44	4.88	4.34	4.93
ORP/mV	137.30	174.20	152.40	193.20	182.60
采样深度/m	2.71	2.41	2.32	1.01	1.03
pH	8.27	7.53	7.36	7.50	8.20
温度/℃	24.80	23.40	24.40	22.80	23.40
NH₄ ⁺-N/（mg·L^-1）	44.56±2.05^a	70.09±2.05	18.60±2.05	36.01±2.05	7.52±2.05
NO₃ ^--N/（mg·L^-1）	6.89±0.61^ab	19.73±0.43^c	5.78±0.36^a	6.21±1.03^ab	4.97±0.91^a
TP/（mg·L^-1）	9.62±0.55^b	92.25±2.01^c	4.01±0.40^a	3.04±0.66^a	4.97±0.91^a
COD/（mg·L^-1）	13.60±1.27^ab	11.90±0.33^a	16.51±0.84^b	15.06±0.52^b	14.90±0.28^b

项目	W1	W2	W3	W4	W5
TPH/（mg·L^-1）	0.01±0.003^a	0.58±0.02^b	0.59±0.19^b	2.02±0.69^c	2.09±0.58^d
DO/（mg·L^-1）	4.25	5.44	4.88	4.34	4.93
ORP/mV	137.30	174.20	152.40	193.20	182.60
采样深度/m	2.71	2.41	2.32	1.01	1.03
pH	8.27	7.53	7.36	7.50	8.20
温度/℃	24.80	23.40	24.40	22.80	23.40
NH₄ ⁺-N/（mg·L^-1）	44.56±2.05^a	70.09±2.05	18.60±2.05	36.01±2.05	7.52±2.05
NO₃ ^--N/（mg·L^-1）	6.89±0.61^ab	19.73±0.43^c	5.78±0.36^a	6.21±1.03^ab	4.97±0.91^a
TP/（mg·L^-1）	9.62±0.55^b	92.25±2.01^c	4.01±0.40^a	3.04±0.66^a	4.97±0.91^a
COD/（mg·L^-1）	13.60±1.27^ab	11.90±0.33^a	16.51±0.84^b	15.06±0.52^b	14.90±0.28^b

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