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Gu Y, Chen X, Shen Y, Chen X, He G, He X, Wang G, He H, Lv Z. The response of nutrient cycle, microbial community abundance and metabolic function to nitrogen fertilizer in rhizosphere soil of Phellodendron chinense Schneid seedlings. Front Microbiol 2023; 14:1302775. [PMID: 38173676 PMCID: PMC10762311 DOI: 10.3389/fmicb.2023.1302775] [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: 09/28/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024] Open
Abstract
Nitrogen (N) as an essential macronutrient affects the soil nutrient cycle, microbial community abundance, and metabolic function. However, the specific responses of microorganisms and metabolic functions in rhizosphere soil of Phellodendron chinense Schneid seedlings to N addition remain unclear. In this study, four treatments (CK, N5, N10 and N15) were conducted, and the soil physicochemical properties, enzyme activities, microbial community abundances and diversities, metabolism, and gene expressions were investigated in rhizosphere soil of P. chinense Schneid. The results showed that N addition significantly decreased rhizosphere soil pH, among which the effect of N10 treatment was better. N10 treatment significantly increased the contents of available phosphorus (AP), available potassium (AK), ammonium nitrogen (NH4+-N), nitrate nitrogen (NO3--N) and sucrase (SU) activity, as well as fungal diversity and the relative expression abundances of amoA and phoD genes in rhizosphere soil, but observably decreased the total phosphorus (TP) content, urease (UR) activity and bacterial diversity, among which the pH, soil organic matter (SOM), AP, NH4+-N and NO3--N were the main environmental factors for affecting rhizosphere soil microbial community structure based on RDA and correlation analyses. Meanwhile, N10 treatment notably enhanced the absolute abundances of the uracil, guanine, indole, prostaglandin F2α and γ-glutamylalanine, while reduced the contents of D-phenylalanine and phenylacetylglycine in rhizosphere soil of P. chinense Schneid seedlings. Furthermore, the soil available nutrients represented a significant correlation with soil metabolites and dominant microorganisms, suggesting that N10 addition effectively regulated microbial community abundance and metabolic functions by enhancing nutrient cycle in the rhizosphere soil of P. chinense Schneid seedlings.
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Affiliation(s)
- Yuanzheng Gu
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Xianglin Chen
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Yan Shen
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Xiaoyong Chen
- College of Arts and Sciences, Governors State University, University Park, IL, United States
| | - Gongxiu He
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Xinxing He
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Guangjun Wang
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Hanjie He
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Zhencheng Lv
- School of Life Sciences, Huizhou University, Huizhou, Guangdong, China
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Medriano CA, Chan A, De Sotto R, Bae S. Different types of land use influence soil physiochemical properties, the abundance of nitrifying bacteria, and microbial interactions in tropical urban soil. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161722. [PMID: 36690092 DOI: 10.1016/j.scitotenv.2023.161722] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/13/2023] [Accepted: 01/16/2023] [Indexed: 06/17/2023]
Abstract
Anthropogenic activities have led to unexpected changes in microbial community composition and structure, resulting in an interruption of soil ecological roles in urban environments. We questioned the impact of the different land use (e.g., agricultural, industrial, recreational, coastal, and residential areas) on the distribution of nitrifying bacteria and microbial interaction in tropical soil. The dominant nitrifying bacteria were ammonia-oxidizing archaea (AOA) in tropical soils up to 107 copies/g of soil, while the abundance of ammonia-oxidizing bacteria (AOB) was significantly higher in agricultural soil only. Comammox (CMX) was ubiquitous up to 105 copies/g of tropical soil, indicating that CMX might share ecological niches with AOA and considerably contribute to nitrification in urban areas. The most abundant phylum is Actinobacteria, accounting for 27-34 % relative abundance among most land-use types, but Proteobacteria was observed as the most prevalent phylum in agricultural soil. The physicochemical properties (e.g., soil pH and nutrient contents) of different types of land use influenced microbial richness and diversities associated with nitrogen cycling. Multivariate analysis disclosed that agricultural soils were distinct from other land uses because of the concentrations of nutrients and heavy metals and the abundance of microorganisms associated with nitrogen cycles. Also, the microbial co-occurrence network revealed that agricultural soils were a highly interconnected network of the microbial community. In this study, C: N ratio might have a significant impact on ecological networks and the abundance of nitrogen-related taxa, which could influence microbial interactions and complexity in tropical soils. Thus, the impact of anthropogenic land use induced changes in microbial composition and diversity, co-occurrence network, and nitrifying bacteria, leading to potential transformation in ecological services of tropical soils and nitrogen cycling in urban environments.
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Affiliation(s)
- Carl Angelo Medriano
- Civil and Environmental Engineering Department, National University of Singapore, 1 Engineering Drive 3, Singapore 117580, Singapore
| | - Amabel Chan
- Civil and Environmental Engineering Department, National University of Singapore, 1 Engineering Drive 3, Singapore 117580, Singapore
| | - Ryan De Sotto
- Civil and Environmental Engineering Department, National University of Singapore, 1 Engineering Drive 3, Singapore 117580, Singapore
| | - Sungwoo Bae
- Civil and Environmental Engineering Department, National University of Singapore, 1 Engineering Drive 3, Singapore 117580, Singapore.
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Mataigne V, Vannier N, Vandenkoornhuyse P, Hacquard S. Multi-genome metabolic modeling predicts functional inter-dependencies in the Arabidopsis root microbiome. MICROBIOME 2022; 10:217. [PMID: 36482420 PMCID: PMC9733318 DOI: 10.1186/s40168-022-01383-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 09/23/2022] [Indexed: 05/28/2023]
Abstract
BACKGROUND From a theoretical ecology point of view, microbiomes are far more complex than expected. Besides competition and competitive exclusion, cooperative microbe-microbe interactions have to be carefully considered. Metabolic dependencies among microbes likely explain co-existence in microbiota. METHODOLOGY In this in silico study, we explored genome-scale metabolic models (GEMs) of 193 bacteria isolated from Arabidopsis thaliana roots. We analyzed their predicted producible metabolites under simulated nutritional constraints including "root exudate-mimicking growth media" and assessed the potential of putative metabolic exchanges of by- and end-products to avoid those constraints. RESULTS We found that the genome-encoded metabolic potential is quantitatively and qualitatively clustered by phylogeny, highlighting metabolic differentiation between taxonomic groups. Random, synthetic combinations of increasing numbers of strains (SynComs) indicated that the number of producible compounds by GEMs increased with average phylogenetic distance, but that most SynComs were centered around an optimal phylogenetic distance. Moreover, relatively small SynComs could reflect the capacity of the whole community due to metabolic redundancy. Inspection of 30 specific end-product metabolites (i.e., target metabolites: amino acids, vitamins, phytohormones) indicated that the majority of the strains had the genetic potential to produce almost all the targeted compounds. Their production was predicted (1) to depend on external nutritional constraints and (2) to be facilitated by nutritional constraints mimicking root exudates, suggesting nutrient availability and root exudates play a key role in determining the number of producible metabolites. An answer set programming solver enabled the identification of numerous combinations of strains predicted to depend on each other to produce these targeted compounds under severe nutritional constraints thus indicating a putative sub-community level of functional redundancy. CONCLUSIONS This study predicts metabolic restrictions caused by available nutrients in the environment. By extension, it highlights the importance of the environment for niche potential, realization, partitioning, and overlap. Our results also suggest that metabolic dependencies and cooperation among root microbiota members compensate for environmental constraints and help maintain co-existence in complex microbial communities. Video Abstract.
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Affiliation(s)
- Victor Mataigne
- Université de Rennes 1, CNRS, UMR6553 ECOBIO, Campus Beaulieu, 35000, Rennes, France
- Max Planck Institute for Plant Breeding Research, Department of Plant Microbe Interactions, 50829, Cologne, Germany
| | - Nathan Vannier
- Max Planck Institute for Plant Breeding Research, Department of Plant Microbe Interactions, 50829, Cologne, Germany
| | | | - Stéphane Hacquard
- Max Planck Institute for Plant Breeding Research, Department of Plant Microbe Interactions, 50829, Cologne, Germany.
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Hossain L, Ledesma RMB, Tanner J, Garnier G. Effect of crosslinking on nanocellulose superabsorbent biodegradability. CARBOHYDRATE POLYMER TECHNOLOGIES AND APPLICATIONS 2022. [DOI: 10.1016/j.carpta.2022.100199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Abstract
The present paper reviews the most recent advances regarding the effects of chemical and organic fertilizers on soil microbial communities. Based on the results from the articles considered, some details are presented on how the use of various types of fertilizers affects the composition and activity of soil microbial communities. Soil microbes have different responses to fertilization based on differences in the total carbon (C), nitrogen (N) and phosphorus (P) contents in the soil, along with soil moisture and the presence of plant species. These articles show that the use of chemical fertilizers changes the abundance of microbial populations and stimulates their growth thanks to the nutrient supply added. Overall, however, the data revealed that chemical fertilizers have no significant influence on the richness and diversity of the bacteria and fungi. Instead, the abundance of individual bacterial or fungal species was sensitive to fertilization and was mainly attributed to the changes in the soil chemical properties induced by chemical or organic fertilization. Among the negative effects of chemical fertilization, the decrease in enzymatic activity has been highlighted by several papers, especially in soils that have received the largest amounts of fertilizers together with losses in organic matter.
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Chevrette MG, Himes BW, Carlos-Shanley C. Nutrient Availability Shifts the Biosynthetic Potential of Soil-Derived Microbial Communities. Curr Microbiol 2022; 79:64. [PMID: 35020062 DOI: 10.1007/s00284-021-02746-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 12/10/2021] [Indexed: 12/26/2022]
Abstract
Secondary metabolites produced by microorganisms are the main source of antimicrobials and other pharmaceutical drugs. Soil microbes have been the primary discovery source for these secondary metabolites, often producing complex organic compounds with specific biological activities. Research suggests that secondary metabolism broadly shapes microbial ecological interactions, but little is known about the factors that shape the abundance, distribution, and diversity of biosynthetic gene clusters in the context of microbial communities. In this study, we investigate the role of nutrient availability on the abundance of biosynthetic gene clusters in soil-derived microbial consortia. Soil microbial consortia enriched in high sugar medium (150 mg/L of glucose and 200 mg/L of trehalose) had more biosynthetic gene clusters and higher inhibitory activity than those enriched in low sugar medium (15 mg/L of glucose + 20 mg/L of trehalose). Our results demonstrate that experimental microbial communities are a promising tool to study the ecology of specialized metabolites.
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Affiliation(s)
- Marc G Chevrette
- Wisconsin Institute for Discovery and Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI, 53715, USA
| | - Bradley W Himes
- Department of Biology, Texas State University, 601 University Drive, San Marcos, TX, 78666, USA
| | - Camila Carlos-Shanley
- Department of Biology, Texas State University, 601 University Drive, San Marcos, TX, 78666, USA.
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Han L, Chen L, Li D, Ji Y, Feng Y, Feng Y, Yang Z. Influence of polyethylene terephthalate microplastic and biochar co-existence on paddy soil bacterial community structure and greenhouse gas emission. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118386. [PMID: 34678391 DOI: 10.1016/j.envpol.2021.118386] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/10/2021] [Accepted: 10/17/2021] [Indexed: 06/13/2023]
Abstract
Microplastic (MP) contamination is ubiquitous in agricultural soils. As a cost-effective soil amendment, biochar (BC) often coincides with MP exposure. However, little research has been conducted regarding the independent and combined effects of MPs and BC on the soil microbiome and N2O/CH4 emissions. Therefore, in this study, polyethylene terephthalate (PET) and wheat straw-derived BC were used, respectively, as representative MP and BC during an entire rice growth period. The high-throughput sequencing results showed that PET alone lowered bacterial diversity by 26.7%, while PET and BC co-existence did not induce apparent change. The relative abundances of some microbes (e.g., Cyanobacteria, Verrucomicrobia, and Bacteroidetes) that are associated with C and N cycling were changed at the phylum and class levels by all the treatments. In comparison with the control, the treatment of BC, PET, and their co-existence reduced the cumulative CH4 emissions by 50%, 53%, and 61%, respectively. The higher mitigation by BC + PET may be the result of higher soil Eh and a consequently lower methanogenesis functional gene mcrA abundance in the treated soils. In addition, BC and PET alone, as well as their combined treatment, increased the abundance of nitrification genes, enhancing the soil nitrification process. However, the relative contribution of the nitrification process to N2O emission was possibly lower than that of denitrification, in which the N2O reductase gene nosZ was found to be the primary gene regulating N2O emissions. BC alone increased nosZ abundance by 42.3%, thereby showing the potential in suppressing N2O emission. In contrast, when BC was co-added with PET, the nosZ abundance lowered possibly because of increased soil aeration, and thus its cumulative N2O emission was 38% higher than the BC treatment. Overall, these results demonstrated that BC and PET function differently in soil ecosystems when they coexisted.
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Affiliation(s)
- Lanfang Han
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China
| | - Liying Chen
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China
| | - Detian Li
- Key Laboratory of Agro-Environment in Downstream of Yangtze Plain, Ministry of Agriculture and Rural Affairs, Jiangsu Key Laboratory for Food Quality and Safety / State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Yang Ji
- College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Yuanyuan Feng
- Key Laboratory of Agro-Environment in Downstream of Yangtze Plain, Ministry of Agriculture and Rural Affairs, Jiangsu Key Laboratory for Food Quality and Safety / State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Yanfang Feng
- Key Laboratory of Agro-Environment in Downstream of Yangtze Plain, Ministry of Agriculture and Rural Affairs, Jiangsu Key Laboratory for Food Quality and Safety / State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
| | - Zhifeng Yang
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China
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Ma X, Song Y, Song C, Wang X, Wang N, Gao S, Cheng X, Liu Z, Gao J, Du Y. Effect of Nitrogen Addition on Soil Microbial Functional Gene Abundance and Community Diversity in Permafrost Peatland. Microorganisms 2021; 9:2498. [PMID: 34946100 PMCID: PMC8707234 DOI: 10.3390/microorganisms9122498] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/25/2021] [Accepted: 12/01/2021] [Indexed: 12/03/2022] Open
Abstract
Nitrogen is the limiting nutrient for plant growth in peatland ecosystems. Nitrogen addition significantly affects the plant biomass, diversity and community structure in peatlands. However, the response of belowground microbe to nitrogen addition in peatland ecosystems remains largely unknown. In this study, we performed long-term nitrogen addition experiments in a permafrost peatland in the northwest slope of the Great Xing'an Mountains. The four nitrogen addition treatments applied in this study were 0 g N·m-2·year-1 (CK), 6 g N·m-2·year-1 (N1), 12 g N·m-2·year-1 (N2), and 24 g N·m-2·year-1 (N3). Effects of nitrogen addition over a period of nine growing seasons on the soil microbial abundance and community diversity in permafrost peatland were analyzed. The results showed that the abundances of soil bacteria, fungi, archaea, nitrogen-cycling genes (nifH and b-amoA), and mcrA increased in N1, N2, and N3 treatments compared to CK. This indicated that nitrogen addition promoted microbial decomposition of soil organic matter, nitrogen fixation, ammonia oxidation, nitrification, and methane production. Moreover, nitrogen addition altered the microbial community composition. At the phylum level, the relative abundance of Proteobacteria increased significantly in the N2 treatment. However, the relative abundances of Actinobacteria and Verrucifera in the N2 treatment and Patescibacteria in the N1 treatment decreased significantly. The heatmap showed that the dominant order composition of soil bacteria in N1, N2, and N3 treatments and the CK treatment were different, and the dominant order composition of soil fungi in CK and N3 treatments were different. The N1 treatment showed a significant increase in the Ace and Chao indices of bacteria and Simpson index of fungi. The outcomes of this study suggest that nitrogen addition altered the soil microbial abundance, community structure, and diversity, affecting the soil microbial carbon and nitrogen cycling in permafrost peatland. The results are helpful to understand the microbial mediation on ecological processes in response to N addition.
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Affiliation(s)
- Xiuyan Ma
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
| | - Yanyu Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
| | - Changchun Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
| | - Xianwei Wang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
| | - Nannan Wang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
| | - Siqi Gao
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
- University of Chinese Academy Sciences, Beijing 100049, China
| | - Xiaofeng Cheng
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
- Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China
| | - Zhendi Liu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
- University of Chinese Academy Sciences, Beijing 100049, China
| | - Jinli Gao
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
| | - Yu Du
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; (X.M.); (C.S.); (X.W.); (N.W.); (S.G.); (X.C.); (Z.L.); (J.G.); (Y.D.)
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He J, Jiao S, Tan X, Wei H, Ma X, Nie Y, Liu J, Lu X, Mo J, Shen W. Adaptation of Soil Fungal Community Structure and Assembly to Long- Versus Short-Term Nitrogen Addition in a Tropical Forest. Front Microbiol 2021; 12:689674. [PMID: 34512567 PMCID: PMC8424203 DOI: 10.3389/fmicb.2021.689674] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/30/2021] [Indexed: 01/28/2023] Open
Abstract
Soil fungi play critical roles in ecosystem processes and are sensitive to global changes. Elevated atmospheric nitrogen (N) deposition has been well documented to impact on fungal diversity and community composition, but how the fungal community assembly responds to the duration effects of experimental N addition remains poorly understood. Here, we aimed to investigate the soil fungal community variations and assembly processes under short- (2 years) versus long-term (13 years) exogenous N addition (∼100 kg N ha–1 yr–1) in a N-rich tropical forest of China. We observed that short-term N addition significantly increased fungal taxonomic and phylogenetic α-diversity and shifted fungal community composition with significant increases in the relative abundance of Ascomycota and decreases in that of Basidiomycota. Short-term N addition also significantly increased the relative abundance of saprotrophic fungi and decreased that of ectomycorrhizal fungi. However, unremarkable effects on these indices were found under long-term N addition. The variations of fungal α-diversity, community composition, and the relative abundance of major phyla, genera, and functional guilds were mainly correlated with soil pH and NO3––N concentration, and these correlations were much stronger under short-term than long-term N addition. The results of null, neutral community models and the normalized stochasticity ratio (NST) index consistently revealed that stochastic processes played predominant roles in the assembly of soil fungal community in the tropical forest, and the relative contribution of stochastic processes was significantly increased by short-term N addition. These findings highlighted that the responses of fungal community to N addition were duration-dependent, i.e., fungal community structure and assembly would be sensitive to short-term N addition but become adaptive to long-term N enrichment.
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Affiliation(s)
- Jinhong He
- Center for Ecological and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Shuo Jiao
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China
| | - Xiangping Tan
- Center for Ecological and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Hui Wei
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, China
| | - Xiaomin Ma
- Center for Ecological and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Yanxia Nie
- Center for Ecological and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Juxiu Liu
- Center for Ecological and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Xiankai Lu
- Center for Ecological and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Jiangming Mo
- Center for Ecological and Environmental Sciences, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Weijun Shen
- College of Forestry, Guangxi University, Nanning, China
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