Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery
Petroleum 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...
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| Published in | Frontiers in microbiology Vol. 14; p. 1193189 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Switzerland
Frontiers Research Foundation
23.05.2023
Frontiers Media S.A |
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| Abstract | Petroleum 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.
In 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.
Our 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.
The 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. |
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| AbstractList | Petroleum 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.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.In 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.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.Our 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.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.The 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.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. Petroleum 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. In 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. Our 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. The 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. Petroleum 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. In 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. Our 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. The 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. 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. |
| Author | Dai, Tianjiao Guo, Xue Li, Guanghe Yang, Yunfeng Zhou, Jizhong Gao, Qun Zhuang, Jugui Ye, Zhencheng Zhang, Ruihuan Zeng, Yufei |
| AuthorAffiliation | 3 State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing , China 6 Earth and Environmental Sciences Division, Lawrence Berkeley National Laboratory , Berkeley, CA , United States 4 Institute for Environmental Genomics, University of Oklahoma , Norman, OK , United States 1 State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University , Beijing , China 5 Department of Microbiology and Plant Biology, University of Oklahoma , Norman, OK , United States 2 School of Water Resources and Environment, China University of Geosciences , Beijing , China |
| AuthorAffiliation_xml | – name: 2 School of Water Resources and Environment, China University of Geosciences , Beijing , China – name: 5 Department of Microbiology and Plant Biology, University of Oklahoma , Norman, OK , United States – name: 6 Earth and Environmental Sciences Division, Lawrence Berkeley National Laboratory , Berkeley, CA , United States – name: 3 State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing , China – name: 4 Institute for Environmental Genomics, University of Oklahoma , Norman, OK , United States – name: 1 State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University , Beijing , China |
| Author_xml | – sequence: 1 givenname: Jugui surname: Zhuang fullname: Zhuang, Jugui – sequence: 2 givenname: Ruihuan surname: Zhang fullname: Zhang, Ruihuan – sequence: 3 givenname: Yufei surname: Zeng fullname: Zeng, Yufei – sequence: 4 givenname: Tianjiao surname: Dai fullname: Dai, Tianjiao – sequence: 5 givenname: Zhencheng surname: Ye fullname: Ye, Zhencheng – sequence: 6 givenname: Qun surname: Gao fullname: Gao, Qun – sequence: 7 givenname: Yunfeng surname: Yang fullname: Yang, Yunfeng – sequence: 8 givenname: Xue surname: Guo fullname: Guo, Xue – sequence: 9 givenname: Guanghe surname: Li fullname: Li, Guanghe – sequence: 10 givenname: Jizhong surname: Zhou fullname: Zhou, Jizhong |
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| Copyright | Copyright © 2023 Zhuang, Zhang, Zeng, Dai, Ye, Gao, Yang, Guo, Li and Zhou. Copyright © 2023 Zhuang, Zhang, Zeng, Dai, Ye, Gao, Yang, Guo, Li and Zhou. 2023 Zhuang, Zhang, Zeng, Dai, Ye, Gao, Yang, Guo, Li and Zhou |
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| Keywords | refinery soil microbial diversity co-occurrence network petroleum pollution |
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| SubjectTerms | BASIC BIOLOGICAL SCIENCES co-occurrence network microbial diversity Microbiology petroleum pollution refinery soil |
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| Title | Petroleum pollution changes microbial diversity and network complexity of soil profile in an oil refinery |
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