1
|
Zhao DX, Wei YL, You ZQ, Bai Z, Yuan HS. Host Developmental Stage and Vegetation Type Govern Root EcM Fungal Assembly in Temperate Forests. J Fungi (Basel) 2025; 11:307. [PMID: 40278127 PMCID: PMC12028295 DOI: 10.3390/jof11040307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2025] [Revised: 03/20/2025] [Accepted: 04/09/2025] [Indexed: 04/26/2025] Open
Abstract
Ectomycorrhizal (EcM) fungi are critical mediators of forest succession, yet the relative contributions of stochastic (neutral) and deterministic (niche-based) processes in shaping their communities are still poorly understood. We investigated the assembly processes in root EcM fungal communities across juvenile and adult coniferous (Abies nephrolepis, Picea jezoensis, and Pinus koraiensis) and broadleaf (Acer mono, Betula platyphylla, and Quercus mongolica) tree species in northeastern China. Employing neutral theory modeling, alpha and beta diversity metrics, and a random forest analysis, we identified patterns of EcM fungal community assembly and the specific taxa associated with developmental stages of various hosts. Neutral processes contributed to the variation in fungal communities, with adult trees showing a higher explanation power (more than 33% of variation) compared to juvenile trees (less than 7% of variation), reflecting a successional shift in assembly mechanisms. Dispersal dynamics was pronounced in juveniles but diminished with host age. Additionally, alpha diversity increased with host age and was slightly moderated by host identity, while beta diversity reflected stronger effects of host age (PERMANOVA R2 = 0.057) than host identity (R2 = 0.033). Host age and identity further structured communities, with distinct taxa varying between juvenile vs. adult, and coniferous vs. broadleaf hosts. Our results demonstrate that host maturity drives a transition from deterministic to stochastic assembly, modulated by tree species identity, improving our understanding of plant-fungal dynamics during forest succession.
Collapse
Affiliation(s)
- Dong-Xue Zhao
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yu-Lian Wei
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| | - Zi-Qi You
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Zhen Bai
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| | - Hai-Sheng Yuan
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| |
Collapse
|
2
|
Yang Y, Li Y, Hao K, Zhao Y, Li M, Fan Y. Microbial community composition and co-occurrence network analysis of the rhizosphere soil of the main constructive tree species in Helan Mountain of Northwest China. Sci Rep 2024; 14:24557. [PMID: 39427091 PMCID: PMC11490567 DOI: 10.1038/s41598-024-76195-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 10/11/2024] [Indexed: 10/21/2024] Open
Abstract
To understand the microbial diversity and community composition within the main constructive tree species, Picea crassifolia, Betula platyphylla, and Pinus tabuliformis, in Helan Mountain and their response to changes in soil physicochemical factors, a high throughput sequencing technology was used to analyze the bacterial and fungal diversity and community structure. RDA (Redundancy Analysis) and Pearson correlation analysis were used to explore the influence of soil physicochemical factors on microbial community construction, and co-occurrence network analysis was conducted on the microbial communities. The results showed that the fungal and bacterial diversity was highest in B. platyphylla, and lowest in P. crassifolia. Additionally, the fungal/bacterial richness was greatest in the rhizosphere soils of P. tabuliformis and B. platyphylla. RDA and Pearson correlation analysis revealed that NN (nitrate nitrogen) and AP (available phosphorus) were the main determining factors of the bacterial community, while NN and SOC (soil water content) were the main determining factors of the fungal community. Pearson correlation analysis between soil physicochemical factors and the alpha diversity of the microbial communities revealed a significant positive correlation between pH and the bacterial and fungal diversity, while SOC, TN (total nitrogen), AP, and AN (available nitrogen) were significantly negatively correlated with the bacterial and fungal diversity. Co-occurrence network analysis revealed that the soil bacterial communities exhibit richer network nodes, edges, greater diversity, and greater network connectivity. Indicating that bacterial communities exhibit more complex and stable interaction patterns in soil. This study reveals the complex interactive relationship between microbial communities and soil physicochemical factors in forest ecosystems. By analyzing the response of rhizosphere microbial communities of major tree species in Helan Mountain to nutrient dynamics and pH changes, we can deepen our understanding of the role of microorganisms in regulating ecosystem functions and provide theoretical basis for soil improvement and ecological restoration strategies.
Collapse
Affiliation(s)
- Yuze Yang
- College of Life Science and Technology, Inner Mongolia Normal University, Huhhot, 010022, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization for the College, University of Inner Mongolia Autonomous Region, Hohhot, China
| | - Yue Li
- College of Life Science and Technology, Inner Mongolia Normal University, Huhhot, 010022, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization for the College, University of Inner Mongolia Autonomous Region, Hohhot, China
| | - Ke Hao
- College of Life Science and Technology, Inner Mongolia Normal University, Huhhot, 010022, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization for the College, University of Inner Mongolia Autonomous Region, Hohhot, China
| | - Yujia Zhao
- College of Life Science and Technology, Inner Mongolia Normal University, Huhhot, 010022, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization for the College, University of Inner Mongolia Autonomous Region, Hohhot, China
| | - Min Li
- College of Life Science and Technology, Inner Mongolia Normal University, Huhhot, 010022, China.
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization for the College, University of Inner Mongolia Autonomous Region, Hohhot, China.
| | - Yongjun Fan
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, China
| |
Collapse
|
3
|
Li Q, Cheng X, Liu X, Gao P, Wang H, Su C, Huang Q. Ammonia-oxidizing archaea adapted better to the dark, alkaline oligotrophic karst cave than their bacterial counterparts. Front Microbiol 2024; 15:1377721. [PMID: 38659982 PMCID: PMC11041041 DOI: 10.3389/fmicb.2024.1377721] [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: 01/28/2024] [Accepted: 03/28/2024] [Indexed: 04/26/2024] Open
Abstract
Subsurface karst caves provide unique opportunities to study the deep biosphere, shedding light on microbial contribution to elemental cycling. Although ammonia oxidation driven by both ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) is well explored in soil and marine environments, our understanding in the subsurface biosphere still remained limited to date. To address this gap, weathered rock and sediment samples were collected from the Xincuntun Cave in Guilin City, an alkaline karst cave, and subjected to high-throughput sequencing and quantification of bacterial and archaeal amoA, along with determination of the potential nitrification rates (PNR). Results revealed that AOA dominated in ammonia oxidation, contributing 48-100% to the PNR, and AOA amoA gene copies outnumbered AOB by 2 to 6 orders. Nitrososphaera dominated in AOA communities, while Nitrosopira dominated AOB communities. AOA demonstrated significantly larger niche breadth than AOB. The development of AOA communities was influenced by deterministic processes (50.71%), while AOB communities were predominantly influenced by stochastic processes. TOC, NH4+, and Cl- played crucial roles in shaping the compositions of ammonia oxidizers at the OTU level. Cross-domain co-occurrence networks highlighted the dominance of AOA nodes in the networks and positive associations between AOA and AOB, especially in the inner zone, suggesting collaborative effort to thrive in extreme environments. Their high gene copies, dominance in the interaction with ammonia oxidizing bacteria, expansive niche breadth and substantial contribution to PNR collectively confirmed that AOA better adapted to alkaline, oligotrophic karst caves environments, and thus play a fundamental role in nitrogen cycling in subsurface biosphere.
Collapse
Affiliation(s)
- Qing Li
- School of Environmental Studies, China University of Geosciences, Wuhan, China
| | - Xiaoyu Cheng
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China
| | - Xiaoyan Liu
- School of Environmental Studies, China University of Geosciences, Wuhan, China
| | - Pengfei Gao
- School of Environmental Studies, China University of Geosciences, Wuhan, China
| | - Hongmei Wang
- School of Environmental Studies, China University of Geosciences, Wuhan, China
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China
| | - Chuntian Su
- Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR & GZAR, Guilin, China
- Pingguo Guangxi, Karst Ecosystem, National Observation and Research Station, Pingguo, Guangxi, China
| | - Qibo Huang
- Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR & GZAR, Guilin, China
- Pingguo Guangxi, Karst Ecosystem, National Observation and Research Station, Pingguo, Guangxi, China
| |
Collapse
|
4
|
Fan Y, Xiang S, Wang J, Zhang X, Yu Z, Zhu S, Lv M, Bai L, Han L, Ma J, Wang Y. First report of the ectomycorrhizal fungal community associated with two herbaceous plants in Inner Mongolia, China. PeerJ 2023; 11:e15626. [PMID: 37465152 PMCID: PMC10351511 DOI: 10.7717/peerj.15626] [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: 12/21/2022] [Accepted: 06/02/2023] [Indexed: 07/20/2023] Open
Abstract
Ectomycorrhizal (EM) fungi play a vital role in ensuring plant health, plant diversity, and ecosystem function. However, the study on fungal diversity and community assembly of EM fungi associated with herbaceous plants remains poorly understood. Thus, in our study, Carex pediformis and Polygonum divaricatum in the subalpine meadow of central Inner Mongolia, China were selected for exploring EM fungal diversity and community assembly mechanisms by using llumina MiSeq sequencing of the fungal internal transcribed spacer 2 region (ITS2). We evaluated the impact of soil, climatic, and spatial variables on EM fungal diversity and community turnover. Deterministic vs. stochastic processes for EM fungal community assembly were quantified using β-Nearest taxon index scores. The results showed that a total of 70 EM fungal OTUs belonging to 21 lineages were identified, of which Tomentella-Thelephora, Helotiales1, Tricholoma, Inocybe, Wilcoxina were the most dominant EM fungal lineages. EM fungal communities were significantly different between the two herbaceous plants and among the two sampling sites, and this difference was mainly influenced by soil organic matter (OM) content and mean annual precipitation (MAP). The neutral community model (NCM) explained 45.7% of the variations in EM fungi community assembly. A total of 99.27% of the β-Nearest Taxa Index (βNTI) value was between -2 and 2. These results suggest that the dominant role of stochastic processes in shaping EM fungal community assembly. In addition, RCbray values showed that ecological drift in stochastic processes dominantly determined community assembly of EM fungi. Overall, our study shed light on the EM fungal diversity and community assembly associated with herbaceous plants in the subalpine region of central Inner Mongolia for the first time, which provided a better understanding of the role of herbaceous EM fungi.
Collapse
Affiliation(s)
- Yongjun Fan
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
- Yinshanbeilu Grassland Eco-hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Inner Mongolia, China
| | - Simin Xiang
- Faculty of Biological Science and technology, Baotou Teacher’s College, Baotou, Inner Mongolia, China
| | - Jing Wang
- Department of Civil Engineering, Ordos Institute Technology, Ordos, Inner Mongolia, China
| | - Xuan Zhang
- Faculty of Biological Science and technology, Baotou Teacher’s College, Baotou, Inner Mongolia, China
| | - Zhimin Yu
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Shupeng Zhu
- Faculty of Biological Science and technology, Baotou Teacher’s College, Baotou, Inner Mongolia, China
| | - Meng Lv
- Faculty of Biological Science and technology, Baotou Teacher’s College, Baotou, Inner Mongolia, China
| | - Lijun Bai
- Faculty of Biological Science and technology, Baotou Teacher’s College, Baotou, Inner Mongolia, China
| | - Luyu Han
- Faculty of Biological Science and technology, Baotou Teacher’s College, Baotou, Inner Mongolia, China
| | - Jianjun Ma
- College of Life Science, Lang Fang Normal University, Lang Fang, Hebei, China
| | - Yonglong Wang
- Faculty of Biological Science and technology, Baotou Teacher’s College, Baotou, Inner Mongolia, China
| |
Collapse
|