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Wei T, Zhang H, Wang S, Wu C, Tu T, Wang Y, Qian X. Divergent altitudinal patterns of arbuscular and ectomycorrhizal fungal communities in a mid-subtropical mountain ecosystem. IMA Fungus 2025; 16:e140187. [PMID: 40225017 PMCID: PMC11986432 DOI: 10.3897/imafungus.16.e140187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Accepted: 03/10/2025] [Indexed: 04/15/2025] Open
Abstract
Arbuscular mycorrhizal fungi (AMF) and ectomycorrhizal fungi (EMF) form ubiquitous symbiotic relationships with plants through co-evolutionary processes, providing multiple benefits for plant growth, productivity, health, and stress mitigation. Mountain ecosystem multifunctionality is significantly influenced by mycorrhizal responses to climate change, highlighting the importance of understanding the complex interactions between these fungi and environmental variables. In this study, we investigated five vegetation zones across an altitudinal gradient (675-2157 m a.s.l.) in Wuyi Mountain, one of the most well-preserved mid-subtropical mountain ecosystems in eastern China. Using high-throughput sequencing, we examined the altitudinal distribution patterns, community assembly mechanisms, and network interactions of soil AMF and EMF. Our analyses demonstrated significant altitudinal variations in the composition and diversity of mycorrhizal fungal communities. AMF richness peaked in the subalpine dwarf forest at intermediate elevations, whereas EMF richness was highest in the low-altitude evergreen broad-leaved forest, showing a marked decrease in the alpine meadow ecosystem. β-diversity decomposition revealed that species turnover constituted the primary mechanism of community differentiation for both fungal types, explaining >56% of the observed variation. Stochastic processes dominated community assembly, with the relative importance of dispersal limitation and drift showing distinct altitudinal patterns. Network analysis indicated that AMF networks reached maximum complexity in evergreen broad-leaved forests, while EMF networks showed similar complexity levels in coniferous forests. Among the examined factors, soil properties emerged as the predominant driver of altitudinal variations in ecosystem multifunctionality, followed by AMF communities and climatic variables. These findings provide critical insights into the ecological functions and environmental adaptations of mycorrhizal fungi, advancing our understanding of their responses to environmental changes in mountain ecosystems and informing evidence-based conservation strategies.
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Affiliation(s)
- Taotao Wei
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
| | - Huiguang Zhang
- College of Life Sciences, Fujian Agriculture and Forestry University, Fujian, China
| | - Shunfen Wang
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
| | - Chunping Wu
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
| | - Tieyao Tu
- Fujian Provincial Forestry Survey and Planning Institute, Fujian, China
| | - Yonglong Wang
- South China Botanical Garden, Chinese Academy of Sciences, Guangdong, China
| | - Xin Qian
- College of Forestry, Fujian Agriculture and Forestry University, Fujian, China
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Li Y, Li R, Li Q, Zhao X, Zhao P, Yan P, Zhang S, Gu L, Xue J. Study on the synergistic mechanisms of fungal biodiversity and ecosystem multifunctionality across vegetation diversity gradients. THE SCIENCE OF THE TOTAL ENVIRONMENT 2025; 964:178563. [PMID: 39837117 DOI: 10.1016/j.scitotenv.2025.178563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 01/11/2025] [Accepted: 01/16/2025] [Indexed: 01/23/2025]
Abstract
Ecosystem multifunctionality denotes the capacity of an ecosystem to deliver various functions and services concurrently, emphasizing the overall effectiveness of these functions. Although biodiversity is intrinsically linked to ecosystem multifunctionality, research on the determinants of changes in this relationship remains limited. This study focused on 147 research plots across various ecosystems in the Lüliang region. Through high-throughput sequencing and data modeling, it was revealed that there exists a significant positive correlation between soil fungal biodiversity and ecosystem multifunctionality (P < 0.05). Notably, this correlation was found to be influenced by specialists and vegetation diversity. The specific results supporting this finding are presented as follows: 1) By means of linear regression and the establishment of various models, it was indicated that specialists exert a more substantial influence on the fungal biodiversity-ecosystem multifunctionality (BEF) relationship compared to generalists. 2) Moving window analysis demonstrated that changes in vegetation diversity affected BEF relationships within fungal communities, leading to synergistic shifts. As vegetation diversity increased, co-occurrence networks generally simplified, and the positive fungal BEF correlation was somewhat decreased. This study enhances the comprehension of fungal BEF relationships in natural ecosystems and provides a foundation for the development of effective management and conservation strategies in response to global changes.
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Affiliation(s)
- Yujing Li
- Shanxi Key Laboratory of Earth Surface Processes and Resource Ecology Security in Fenhe River Basin, Taiyuan Normal University, Jinzhong 030619, China; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China
| | - Ruiyun Li
- Shanxi Lipu Innovation Technology Company Limited, Jinzhong 030619, China
| | - Qiao Li
- Shanxi Lipu Innovation Technology Company Limited, Jinzhong 030619, China
| | - Xiaodong Zhao
- Shanxi Key Laboratory of Earth Surface Processes and Resource Ecology Security in Fenhe River Basin, Taiyuan Normal University, Jinzhong 030619, China; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China
| | - Pengyu Zhao
- Shanxi Key Laboratory of Earth Surface Processes and Resource Ecology Security in Fenhe River Basin, Taiyuan Normal University, Jinzhong 030619, China; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China.
| | - Pingmei Yan
- Shanxi Key Laboratory of Earth Surface Processes and Resource Ecology Security in Fenhe River Basin, Taiyuan Normal University, Jinzhong 030619, China; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China
| | - Shuhui Zhang
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China
| | - Lihong Gu
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China
| | - Jinhua Xue
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China
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Huang W, Zhu Y, Yu H, He Y, Zhao X, Wang H, Shi S. Biodiversity drives ecosystem multifunctionality in sandy grasslands? THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 925:171765. [PMID: 38499099 DOI: 10.1016/j.scitotenv.2024.171765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 03/04/2024] [Accepted: 03/15/2024] [Indexed: 03/20/2024]
Abstract
Plant communities and soil microbiomes play a crucial role in regulating ecosystem multifunctionality (EMF). However, whether and how aboveground plant diversity, belowground soil microbial diversity and interactions with environmental factors affect EMF in sandy grasslands under climate change conditions is unclear. Here, we selected 15 typical grassland communities from the Horqin sandy grassland along temperature and precipitation gradients, using the mean annual temperature (AMT), mean annual precipitation (AP), soil temperature (ST), soil water content (SW) and pH as abiotic factors, and plant diversity (PD) and soil microbial diversity (SD) as biodiversity indicators. The effects of biodiversity and abiotic factors on individual ecosystem functions and EMF were studied. We found that PD and its components, plant species richness (SR), species diversity (PR) and genetic diversity (GD), had significant effects on aboveground biomass (AGB) and major factors involved in ecosystem nitrogen cycling (plant leaf nitrogen content (PLN) and soil total nitrogen content (STN)) (P < 0.05). Soil fungal diversity (FR) has a greater impact on ecosystem function than soil bacteria (BR) and archaea (ABR) in sandy grasslands and mainly promotes the accumulation of soil microbial carbon and nitrogen (MBC, MBN) (P < 0.05), STC and STN (P < 0.01). PD and two types of SD (FR and ABR) significantly regulated EMF (P < 0.01). Among the abiotic factors, soil pH and SW regulated EMF (P < 0.05), and SW and ST directly drove EMF (P < 0.05). PD drove EMF significantly and indirectly (positively) through soil pH and ST (P < 0.001), while SD drove EMF weakly and indirectly (negatively) through AP and PD (P > 0.05). PD was a stronger driving force on EMF than SD. These results improve our understanding of the drivers of multifunctionality in sandy grassland ecosystems.
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Affiliation(s)
- Wenda Huang
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Road 320, Lanzhou City, Gansu Province 730000, China; Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China.
| | - Yuanzhong Zhu
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Road 320, Lanzhou City, Gansu Province 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hailun Yu
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Road 320, Lanzhou City, Gansu Province 730000, China
| | - Yuanzheng He
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Road 320, Lanzhou City, Gansu Province 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Zhao
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China
| | - Huaihai Wang
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Road 320, Lanzhou City, Gansu Province 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shangbin Shi
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Road 320, Lanzhou City, Gansu Province 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
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Chen Y, Huang X, Lang X, Tang R, Zhang R, Li S, Su J. Effects of plant diversity, soil microbial diversity, and network complexity on ecosystem multifunctionality in a tropical rainforest. FRONTIERS IN PLANT SCIENCE 2023; 14:1238056. [PMID: 37794931 PMCID: PMC10545900 DOI: 10.3389/fpls.2023.1238056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 08/25/2023] [Indexed: 10/06/2023]
Abstract
Introduction Plant diversity and soil microbial diversity are important driving factors in sustaining ecosystem multifunctionality (EMF) in terrestrial ecosystems. However, little is known about the relative importance of plant diversity, soil microbial diversity, and soil microbial network complexity to EMF in tropical rainforests. Methods This study took the tropical rainforest in Xishuangbanna, Yunnan Province, China as the research object, and quantified various ecosystem functions such as soil organic carbon stock, soil nutrient cycling, biomass production, and water regulation in the tropical rainforest to explore the relationship and effect of plant diversity, soil microbial diversity, soil microbial network complexity and EMF. Results Our results exhibited that EMF decreased with increasing liana species richness, soil fungal diversity, and soil fungal network complexity, which followed a trend of initially increasing and then decreasing with soil bacterial diversity while increasing with soil bacterial network complexity. Soil microbial diversity and plant diversity primarily affected soil nutrient cycling. Additionally, liana species richness had a significant negative effect on soil organic carbon stocks. The random forest model suggested that liana species richness, soil bacterial network complexity, and soil fungal network complexity indicated more relative importance in sustaining EMF. The structural equation model revealed that soil bacterial network complexity and tree species richness displayed the significantly positive effects on EMF, while liana species richness significantly affected EMF via negative pathway. We also observed that soil microbial diversity indirectly affected EMF through soil microbial network complexity. Soil bulk density had a significant and negative effect on liana species richness, thus indirectly influencing EMF. Simultaneously, we further found that liana species richness was the main indicator of sustaining EMF in a tropical rainforest, while soil bacterial diversity was the primary driving factor. Discussion Our findings provide new insight into the relationship between biodiversity and EMF in a tropical rainforest ecosystem and the relative contribution of plant and soil microibal diversity to ecosystem function with increasing global climate change.
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Affiliation(s)
- Yanxuan Chen
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
| | - Xiaobo Huang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Xuedong Lang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Rong Tang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Rui Zhang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Shuaifeng Li
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Jianrong Su
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
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Chen C, Yin G, Hou L, Jiang Y, Sun D, Liang X, Han P, Zheng Y, Liu M. Reclamation of tidal flats to paddy soils reshuffles the soil microbiomes along a 53-year reclamation chronosequence: Evidence from assembly processes, co-occurrence patterns and multifunctionality. ENVIRONMENT INTERNATIONAL 2023; 179:108151. [PMID: 37603994 DOI: 10.1016/j.envint.2023.108151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/17/2023] [Accepted: 08/13/2023] [Indexed: 08/23/2023]
Abstract
Coastal soil microbiomes play a key role in coastal ecosystem functioning and are intensely threatened by land reclamation. However, the impacts of coastal reclamation on soil microbial communities, particularly on their assembly processes, co-occurrence patterns, and the multiple soil functions they support, remain poorly understood. This impedes our capability to comprehensively evaluate the impacts of coastal reclamation on soil microbiomes and to restore coastal ecosystem functions degraded by reclamation. Here, we investigated the temporal dynamics of bacterial and fungal communities, community assembly processes, co-occurrence patterns, and ecosystem multifunctionality along a 53-year chronosequence of paddy soil following reclamation from tidal flats. Reclamation of tidal flats to paddy soils resulted in decreased β-diversity, increased homogeneous selection, and decreased network complexity and robustness of both bacterial and fungal communities, but caused contrasting α-diversity response patterns of them. Reclamation of tidal flats to paddy soils also decreased the multifunctionality of coastal ecosystems, which was largely associated with the fungal network complexity and α-diversity. Collectively, this work demonstrates that coastal reclamation strongly reshaped the soil microbiomes at the level of assembly mechanisms, interaction patterns, and functionality level, and highlights that soil fungal community complexity should be considered as a key factor in restoring coastal ecosystem functions deteriorated by land reclamation.
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Affiliation(s)
- Cheng Chen
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China; School of Geographic Sciences, East China Normal University, Shanghai 200241, China; Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
| | - Guoyu Yin
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China; School of Geographic Sciences, East China Normal University, Shanghai 200241, China; Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China.
| | - Lijun Hou
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Yinghui Jiang
- School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022 Jiangxi, China
| | - Dongyao Sun
- School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Xia Liang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Ping Han
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China; School of Geographic Sciences, East China Normal University, Shanghai 200241, China; Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
| | - Yanling Zheng
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China; School of Geographic Sciences, East China Normal University, Shanghai 200241, China; Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
| | - Min Liu
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China; School of Geographic Sciences, East China Normal University, Shanghai 200241, China; Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China.
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