Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery
IntroductionPetroleum pollution resulting from spills and leakages in oil refinery areas has been a significant environmental concern for decades. Despite this, the effects of petroleum pollutants on soil microbial communities and their potential for pollutant biodegradation still required further i...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1193189/full |
| _version_ | 1797822048480788480 |
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| author | Jugui Zhuang Ruihuan Zhang Yufei Zeng Tianjiao Dai Zhencheng Ye Qun Gao Yunfeng Yang Xue Guo Xue Guo Guanghe Li Jizhong Zhou Jizhong Zhou Jizhong Zhou |
| author_facet | Jugui Zhuang Ruihuan Zhang Yufei Zeng Tianjiao Dai Zhencheng Ye Qun Gao Yunfeng Yang Xue Guo Xue Guo Guanghe Li Jizhong Zhou Jizhong Zhou Jizhong Zhou |
| author_sort | Jugui Zhuang |
| collection | DOAJ |
| description | IntroductionPetroleum pollution resulting from spills and leakages in oil refinery areas has been a significant environmental concern for decades. Despite this, the effects of petroleum pollutants on soil microbial communities and their potential for pollutant biodegradation still required further investigation.MethodsIn this study, we collected 75 soil samples from 0 to 5 m depths of 15 soil profiles in an abandoned refinery to analyze the effect of petroleum pollution on soil microbial diversity, community structure, and network co-occurrence patterns.ResultsOur results suggested soil microbial a-diversity decreased under high C10–C40 levels, coupled with significant changes in the community structure of soil profiles. However, soil microbial network complexity increased with petroleum pollution levels, suggesting more complex microbial potential interactions. A module specific for methane and methyl oxidation was also found under high C10–C40 levels of the soil profile, indicating stronger methanotrophic and methylotrophic metabolic activities at the heavily polluted soil profile.DiscussionThe increased network complexity observed may be due to more metabolic pathways and processes, as well as increased microbial interactions during these processes. These findings highlight the importance of considering both microbial diversity and network complexity in assessing the effects of petroleum pollution on soil ecosystems. |
| first_indexed | 2024-03-13T10:02:05Z |
| format | Article |
| id | doaj.art-52c811888afa4682b6bea23e602a4615 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-03-13T10:02:05Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-52c811888afa4682b6bea23e602a46152023-05-23T04:35:12ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2023-05-011410.3389/fmicb.2023.11931891193189Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refineryJugui Zhuang0Ruihuan Zhang1Yufei Zeng2Tianjiao Dai3Zhencheng Ye4Qun Gao5Yunfeng Yang6Xue Guo7Xue Guo8Guanghe Li9Jizhong Zhou10Jizhong Zhou11Jizhong Zhou12State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaSchool of Water Resources and Environment, China University of Geosciences, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaInstitute for Environmental Genomics, University of Oklahoma, Norman, OK, United StatesDepartment of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United StatesEarth and Environmental Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United StatesIntroductionPetroleum pollution resulting from spills and leakages in oil refinery areas has been a significant environmental concern for decades. Despite this, the effects of petroleum pollutants on soil microbial communities and their potential for pollutant biodegradation still required further investigation.MethodsIn this study, we collected 75 soil samples from 0 to 5 m depths of 15 soil profiles in an abandoned refinery to analyze the effect of petroleum pollution on soil microbial diversity, community structure, and network co-occurrence patterns.ResultsOur results suggested soil microbial a-diversity decreased under high C10–C40 levels, coupled with significant changes in the community structure of soil profiles. However, soil microbial network complexity increased with petroleum pollution levels, suggesting more complex microbial potential interactions. A module specific for methane and methyl oxidation was also found under high C10–C40 levels of the soil profile, indicating stronger methanotrophic and methylotrophic metabolic activities at the heavily polluted soil profile.DiscussionThe increased network complexity observed may be due to more metabolic pathways and processes, as well as increased microbial interactions during these processes. These findings highlight the importance of considering both microbial diversity and network complexity in assessing the effects of petroleum pollution on soil ecosystems.https://www.frontiersin.org/articles/10.3389/fmicb.2023.1193189/fullpetroleum pollutionrefinerysoilmicrobial diversityco-occurrence network |
| spellingShingle | Jugui Zhuang Ruihuan Zhang Yufei Zeng Tianjiao Dai Zhencheng Ye Qun Gao Yunfeng Yang Xue Guo Xue Guo Guanghe Li Jizhong Zhou Jizhong Zhou Jizhong Zhou Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery Frontiers in Microbiology petroleum pollution refinery soil microbial diversity co-occurrence network |
| title | Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery |
| title_full | Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery |
| title_fullStr | Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery |
| title_full_unstemmed | Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery |
| title_short | Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery |
| title_sort | petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery |
| topic | petroleum pollution refinery soil microbial diversity co-occurrence network |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1193189/full |
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