Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China
IntroductionExploiting photovoltaic power generation as a novel source of clean energy has become increasingly common in recent times. Nevertheless, the impact of photovoltaic power plants (PVs) on soil microbial activity and several functions is unclear.MethodsThe present investigation aims to coll...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2025.1579497/full |
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| author | Liuqing Zhao Sumeng Xu Sumeng Xu Jinmei Zhao Shujuan Chen Xiaolong Liu Xiuyuan Zheng Xiuhui Wang Zhao Zhu Fei Gao Bingzhe Fu Shuxia Li |
| author_facet | Liuqing Zhao Sumeng Xu Sumeng Xu Jinmei Zhao Shujuan Chen Xiaolong Liu Xiuyuan Zheng Xiuhui Wang Zhao Zhu Fei Gao Bingzhe Fu Shuxia Li |
| author_sort | Liuqing Zhao |
| collection | DOAJ |
| description | IntroductionExploiting photovoltaic power generation as a novel source of clean energy has become increasingly common in recent times. Nevertheless, the impact of photovoltaic power plants (PVs) on soil microbial activity and several functions is unclear.MethodsThe present investigation aims to collect soil samples from photovoltaic power plants in arid and semi-arid regions with different years of construction, determine the physicochemical properties of the soil, and employ high-throughput sequencing to obtain 16S rRNA and ITS genes from the PV. This approach examines the community composition of bacteria and fungi in plant soils. This dataset is adopted to explore the role of soil physicochemical characteristics and climatic factors in the variousness and complexness of the network of soil microbial communities in PVs.ResultsThe findings reveal that soil physicochemical properties exhibit a gradual increase over time, with bacterial and fungal diversity showing a corresponding gradual increase and reaching a maximum over a period of 5–10 years. Furthermore, it is observed that the topological properties of the microbial network underwent significant changes driven by microbial diversity. Bacterial and fungal diversity as well as network complexity also display positive and negative correlations, respectively. A positive and significant correlation is detected between the bacterial network complexity and the soil multifunctionality, whereas a substantial negative correlation is observed between the fungal network complexity and the soil multifunctionality.DiscussionIn conclusion the environment is able to directly regulate soil microbial diversity, thereby affecting network complexity and driving soil multifunctionality. Such discoveries are aimed to have crucial ecological implications for predicting environmental-soil-microbial effects on soil multifunctionality in photovoltaic zones. |
| format | Article |
| id | doaj-art-dcb25b6e1bb04d8b896e0b3fb0480d93 |
| institution | OA Journals |
| issn | 1664-302X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Microbiology |
| spelling | doaj-art-dcb25b6e1bb04d8b896e0b3fb0480d932025-08-20T02:18:43ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-04-011610.3389/fmicb.2025.15794971579497Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of ChinaLiuqing Zhao0Sumeng Xu1Sumeng Xu2Jinmei Zhao3Shujuan Chen4Xiaolong Liu5Xiuyuan Zheng6Xiuhui Wang7Zhao Zhu8Fei Gao9Bingzhe Fu10Shuxia Li11Natural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaCollege of Grassland Agriculture, Northwest A&F University, Xianyang, Shaanxi, ChinaHorticultural Technology Extension Station of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaNatural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaNatural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaNatural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaNatural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaNatural Resources Information Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaNatural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaNatural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, ChinaCollege of Forestry and Prataculture, Ningxia University, Yinchuan, ChinaCollege of Forestry and Prataculture, Ningxia University, Yinchuan, ChinaIntroductionExploiting photovoltaic power generation as a novel source of clean energy has become increasingly common in recent times. Nevertheless, the impact of photovoltaic power plants (PVs) on soil microbial activity and several functions is unclear.MethodsThe present investigation aims to collect soil samples from photovoltaic power plants in arid and semi-arid regions with different years of construction, determine the physicochemical properties of the soil, and employ high-throughput sequencing to obtain 16S rRNA and ITS genes from the PV. This approach examines the community composition of bacteria and fungi in plant soils. This dataset is adopted to explore the role of soil physicochemical characteristics and climatic factors in the variousness and complexness of the network of soil microbial communities in PVs.ResultsThe findings reveal that soil physicochemical properties exhibit a gradual increase over time, with bacterial and fungal diversity showing a corresponding gradual increase and reaching a maximum over a period of 5–10 years. Furthermore, it is observed that the topological properties of the microbial network underwent significant changes driven by microbial diversity. Bacterial and fungal diversity as well as network complexity also display positive and negative correlations, respectively. A positive and significant correlation is detected between the bacterial network complexity and the soil multifunctionality, whereas a substantial negative correlation is observed between the fungal network complexity and the soil multifunctionality.DiscussionIn conclusion the environment is able to directly regulate soil microbial diversity, thereby affecting network complexity and driving soil multifunctionality. Such discoveries are aimed to have crucial ecological implications for predicting environmental-soil-microbial effects on soil multifunctionality in photovoltaic zones.https://www.frontiersin.org/articles/10.3389/fmicb.2025.1579497/fullphotovoltaic power plants (PVs)bacterial diversityfungal diversitymicrobial network complexitysoil multifunctionality |
| spellingShingle | Liuqing Zhao Sumeng Xu Sumeng Xu Jinmei Zhao Shujuan Chen Xiaolong Liu Xiuyuan Zheng Xiuhui Wang Zhao Zhu Fei Gao Bingzhe Fu Shuxia Li Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China Frontiers in Microbiology photovoltaic power plants (PVs) bacterial diversity fungal diversity microbial network complexity soil multifunctionality |
| title | Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China |
| title_full | Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China |
| title_fullStr | Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China |
| title_full_unstemmed | Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China |
| title_short | Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China |
| title_sort | soil microbial networks complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of china |
| topic | photovoltaic power plants (PVs) bacterial diversity fungal diversity microbial network complexity soil multifunctionality |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2025.1579497/full |
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