1
|
Chang C, Ren M, Wang H, Ye S, Tang X, He D, Hu E, Li M, Pan B. Riverine network size determined major driving factors of the composition and diversity of aquatic invertebrate communities in a multi-tributary mountain river basin. WATER RESEARCH 2025; 276:123257. [PMID: 39954458 DOI: 10.1016/j.watres.2025.123257] [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: 09/20/2024] [Revised: 12/18/2024] [Accepted: 02/08/2025] [Indexed: 02/17/2025]
Abstract
Revealing the spatial variation of aquatic invertebrates and their response to biotic and abiotic factors, from headwaters to estuaries, is crucial for understanding their successional patterns and protecting watershed ecosystems. This study aimed to explore the biogeographic patterns and identify the primary drivers of invertebrate community structure across river networks of varying sizes using environmental DNA (eDNA) technology. To assess the contribution of biotic and abiotic factors to invertebrate communities, we collected six categories of abiotic factors: geography, climate, hydro-morphology, human footprint index, land use, and water quality. For biotic factors, four microbial groups including archaea, bacteria, fungi, and protists were identified using eDNA techniques. Water samples were collected from a total of 187 sample sites in the upper Hanjiang River basin (China) during two seasons (Spring and Autumn), covering the transition from the headwater tributaries to the lower reaches of the main channel. The results revealed that environmental factors explained approximately 6.5 times more variation in invertebrate eDNA communities than geographic factors. Water quality and biotic factors had strong explanatory power for invertebrate eDNA diversity. Ecological succession of invertebrate eDNA communities along the river continuum showed a shift from Arthropoda-dominated communities in the headwaters to a co-dominance of Arthropoda, Rotifera, and Cnidaria downstream. The cumulative dendritic distance upstream, representing the location of each sampling site within the river network, emerged as the most predictive spatial feature. Significant differences were observed in the dominant environmental factors influencing community diversity across different river network sizes. In small river networks, invertebrate eDNA diversity was primarily influenced by biotic factors, while in medium-sized networks, it was shaped by a combination of biotic factors and water quality. In large river networks, water quality emerged as the primary driver. These findings suggest that invertebrate communities throughout the Hanjiang River basin undergo ecological succession along the river continuum, primarily shaped by environmental factors related to river network size.
Collapse
Affiliation(s)
- Chao Chang
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China
| | - Mi Ren
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China
| | - Han Wang
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China
| | - Sisi Ye
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China
| | - Xiaofeng Tang
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China
| | - Ding He
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong SAR, China; State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Science, Wuhan 430071, China
| | - En Hu
- Shaanxi Provincial Academy of Environmental Science, Xi'an 710061, Shaanxi, China.
| | - Ming Li
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China.
| | - Baozhu Pan
- State Key Laboratory of Eco-hydraulics in the Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
| |
Collapse
|
2
|
Qiu Z, He S, Lian CA, Qiao X, Zhang Q, Yao C, Mu R, Wang L, Cao XA, Yan Y, Yu K. Large scale exploration reveals rare taxa crucially shape microbial assembly in alkaline lake sediments. NPJ Biofilms Microbiomes 2024; 10:62. [PMID: 39069527 DOI: 10.1038/s41522-024-00537-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 07/19/2024] [Indexed: 07/30/2024] Open
Abstract
Alkaline lakes are extreme environments inhabited by diverse microbial extremophiles. However, large-scale distribution patterns, environmental adaptations, community assembly, and evolutionary dynamics of microbial communities remain largely underexplored. This study investigated the characteristics of microbial communities on rare and abundant taxa in alkaline lake sediments in west and northwest China. We observed that abundant taxa varied significantly with geographical distance, while rare taxa remained unaffected by regional differences. The assembly process of abundant taxa was influenced by dispersal limitation, whilst rare taxa were predominantly driven by heterogeneous selection. Network analysis indicated that rare taxa as core species for community interactions and community stability. Rare taxa exhibited higher speciation and transition rate than abundant taxa, serving as a genetic reservoir and potential candidates to become abundance taxa, highlighting their crucial role in maintaining microbial diversity. These insights underscore the significant influence of rare taxa on ecosystem biodiversity and stability in alkaline lakes.
Collapse
Affiliation(s)
- Zhiguang Qiu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, 518055, China
| | - Shuhang He
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
| | - Chun-Ang Lian
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, 518055, China
| | - Xuejiao Qiao
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
| | - Qing Zhang
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
| | - Ciqin Yao
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
| | - Rong Mu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
| | - Li Wang
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
| | - Xiao-Ai Cao
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
| | - Yan Yan
- State Key Laboratory of Isotope Geochemistry, CAS Center for Excellence in Deep Earth Science, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Ke Yu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China.
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, 518055, China.
| |
Collapse
|
3
|
Hakobyan A, Velte S, Sickel W, Quandt D, Stoll A, Knief C. Tillandsia landbeckii phyllosphere and laimosphere as refugia for bacterial life in a hyperarid desert environment. MICROBIOME 2023; 11:246. [PMID: 37936139 PMCID: PMC10631034 DOI: 10.1186/s40168-023-01684-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/28/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND The lack of water is a major constraint for microbial life in hyperarid deserts. Consequently, the abundance and diversity of microorganisms in common habitats such as soil are strongly reduced, and colonization occurs primarily by specifically adapted microorganisms that thrive in particular refugia to escape the harsh conditions that prevail in these deserts. We suggest that plants provide another refugium for microbial life in hyperarid deserts. We studied the bacterial colonization of Tillandsia landbeckii (Bromeliaceae) plants, which occur in the hyperarid regions of the Atacama Desert in Chile, one of the driest and oldest deserts on Earth. RESULTS We detected clear differences between the bacterial communities being plant associated to those of the bare soil surface (PERMANOVA, R2 = 0.187, p = 0.001), indicating that Tillandsia plants host a specific bacterial community, not only dust-deposited cells. Moreover, the bacterial communities in the phyllosphere were distinct from those in the laimosphere, i.e., on buried shoots (R2 = 0.108, p = 0.001), indicating further habitat differentiation within plant individuals. The bacterial taxa detected in the phyllosphere are partly well-known phyllosphere colonizers, but in addition, some rather unusual taxa (subgroup2 Acidobacteriae, Acidiphilum) and insect endosymbionts (Wolbachia, "Candidatus Uzinura") were found. The laimosphere hosted phyllosphere-associated as well as soil-derived taxa. The phyllosphere bacterial communities showed biogeographic patterns across the desert (R2 = 0.331, p = 0.001). These patterns were different and even more pronounced in the laimosphere (R2 = 0.467, p = 0.001), indicating that different factors determine community assembly in the two plant compartments. Furthermore, the phyllosphere microbiota underwent temporal changes (R2 = 0.064, p = 0.001). CONCLUSIONS Our data demonstrate that T. landbeckii plants host specific bacterial communities in the phyllosphere as well as in the laimosphere. Therewith, these plants provide compartment-specific refugia for microbial life in hyperarid desert environments. The bacterial communities show biogeographic patterns and temporal variation, as known from other plant microbiomes, demonstrating environmental responsiveness and suggesting that bacteria inhabit these plants as viable microorganisms. Video Abstract.
Collapse
Affiliation(s)
- Anna Hakobyan
- Molecular Biology of the Rhizosphere, Institute for Crop Science and Resource Conservation (INRES), University of Bonn, 53115, Bonn, Germany
| | - Stefanie Velte
- Molecular Biology of the Rhizosphere, Institute for Crop Science and Resource Conservation (INRES), University of Bonn, 53115, Bonn, Germany
| | - Wiebke Sickel
- Molecular Biology of the Rhizosphere, Institute for Crop Science and Resource Conservation (INRES), University of Bonn, 53115, Bonn, Germany
- Institute of Biodiversity, Johann Heinrich Von Thünen Institute, Brunswick, Germany
| | - Dietmar Quandt
- Nees Institute for Biodiversity of Plants, University of Bonn, Bonn, Germany
| | - Alexandra Stoll
- Centro de Estudios Avanzados en Zonas Áridas Ceaza, La Serena, Chile
- Instituto de Investigación Multidisciplinar en Ciencia y Tecnología, Universidad de La Serena, La Serena, Chile
| | - Claudia Knief
- Molecular Biology of the Rhizosphere, Institute for Crop Science and Resource Conservation (INRES), University of Bonn, 53115, Bonn, Germany.
| |
Collapse
|
4
|
Ren Y, Shao Q, Ge W, Li X, Wang H, Dong C, Zhang Y, Deshmukh SK, Han Y. Assembly Processes and Biogeographical Characteristics of Soil Bacterial Sub-communities of Different Habitats in Urban Green Spaces. Curr Microbiol 2023; 80:309. [PMID: 37535152 DOI: 10.1007/s00284-023-03428-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 07/23/2023] [Indexed: 08/04/2023]
Abstract
The process of urbanization is one of the most important human-driven activities that reshape the natural distribution of soil microorganisms. However, it is still unclear about the effects of urbanization on the different taxonomic soil bacterial community dynamics. In this study, we collected soil samples from highly urbanized the regions of Yangtze River Delta, Beijing-Tianjin-Hebei in China, to explore the bio-geographic patterns, assembly processes, and symbiotic patterns of abundant, moderate, and rare bacterial communities. We found that the number of moderate and rare taxa species were lower than that of abundant taxa, but their α-diversity index was higher than abundant taxa. Proteobacteria, Acidobacteria, Actinobacteria, Bacterioidetes, and Chloroflexi were the dominant phylum across all three sub-communities. And the β-diversity value of rare taxa was significantly higher than those of moderate and abundant taxa. Abundant, moderate, and rare sub-communities showed a weak distance-decay relationship, and the moderate taxa had the highest turnover rate of microbial geography in the context of urbanization. Diffusion limitation was the dominant process of soil bacterial community assembly. The co-occurrence networks of abundant, moderate, and rare taxa were dominated by positive correlations. The network of moderate taxa had the highest modularity, followed by abundant taxa. The main functions of the abundant, moderate, and rare taxa were related to Chemoheterotrophy and N transformations. Redundancy analysis showed that the dispersal limitation, climate, and soil properties were the main factors dominating bio-geographic differences in soil bacterial community diversity. We conclude that human-dominated urbanization processes have generated more uncertain survival pressures on soil bacteria, which resulted in a stronger linkage but weak bio-geographic variation for soil bacteria. In the future urban planning process, we suggest that such maintenance of native vegetation and soil types should be considered to maintain the long-term stability of local microbial ecosystem functions.
Collapse
Affiliation(s)
- Yulian Ren
- Institute of Fungus Resources, Department of Ecology, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Qiuyu Shao
- Institute of Fungus Resources, Department of Ecology, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Wei Ge
- Institute of Fungus Resources, Department of Ecology, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Xin Li
- Institute of Fungus Resources, Department of Ecology, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Haiyan Wang
- Institute of Fungus Resources, Department of Ecology, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Chunbo Dong
- Institute of Fungus Resources, Department of Ecology, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Yanwei Zhang
- School of Biological Sciences, Guizhou Education University, Guiyang, 550018, Guizhou, China
| | - Sunil Kumar Deshmukh
- TERI-Deakin Nano Biotechnology Centre, The Energy and Resources Institute, Darbari Seth Block, IHC Complex, Lodhi Road, New Delhi, 110003, India
| | - Yanfeng Han
- Institute of Fungus Resources, Department of Ecology, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou, China.
| |
Collapse
|
5
|
Song L, Wang J, Zhang R, Pan J, Li Y, Wang S, Niu S. Threshold responses of soil gross nitrogen transformation rates to aridity gradient. GLOBAL CHANGE BIOLOGY 2023; 29:4018-4027. [PMID: 37103000 DOI: 10.1111/gcb.16737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 03/17/2023] [Indexed: 05/06/2023]
Abstract
The responses of soil nitrogen (N) transformations to climate change are crucial for biome productivity prediction under global change. However, little is known about the responses of soil gross N transformation rates to drought gradient. Along an aridity gradient across the 2700 km transect of drylands on the Qinghai-Tibetan Plateau, this study measured three main soil gross N transformation rates in both topsoil (0-10 cm) and subsoil (20-30 cm) using the laboratorial 15 N labeling. The relevant soil abiotic and biotic variables were also determined. The results showed that gross N mineralization and nitrification rates steeply decreased with increasing aridity when aridity was less than 0.5 but just slightly decreased with increasing aridity when aridity was larger than 0.5 at both soil layers. In topsoil, the decreases of the two gross rates were accompanied by the similar decreased patterns of soil total N content and microbial biomass carbon with increasing aridity (p < .05). In subsoil, although the decreased pattern of soil total N with increasing aridity was still similar to the decreases of the two gross rates (p < .05), microbial biomass carbon did not change (p > .05). Instead, bacteria and ammonia oxidizing archaea abundances decreased with increasing aridity when aridity was larger than 0.5 (p < .05). With an aridity threshold of 0.6, gross N immobilization rate increased with increasing aridity in wetter region (aridity < 0.6) accompanied with an increased bacteria/fungi ratio, but decreased with increasing aridity in drier region (aridity > 0.6) where mineral N and microbial biomass N also decreased at both soil layers (p < .05). This study provided new insight to understand the differential responses of soil N transformation to drought gradient. The threshold responses of the gross N transformation rates to aridity gradient should be noted in biogeochemical models to better predict N cycling and manage land in the context of global change.
Collapse
Affiliation(s)
- Lei Song
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Jinsong Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Ruiyang Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Junxiao Pan
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China
| | - Yang Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China
| | - Song Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, P.R. China
| |
Collapse
|
6
|
Distinct Responses of Abundant and Rare Soil Bacteria to Nitrogen Addition in Tropical Forest Soils. Microbiol Spectr 2023; 11:e0300322. [PMID: 36622236 PMCID: PMC9927163 DOI: 10.1128/spectrum.03003-22] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Soil microbial responses to anthropogenic nitrogen (N) enrichment at the overall community level has been extensively studied. However, the responses of community dynamics and assembly processes of the abundant versus rare bacterial taxa to N enrichment have rarely been assessed. Here, we present a study in which the effects of short- (2 years) and long-term (13 years) N additions to two nearby tropical forest sites on abundant and rare soil bacterial community composition and assembly were documented. The N addition, particularly in the long-term experiment, significantly decreased the bacterial α-diversity and shifted the community composition toward copiotrophic and N-sensitive species. The α-diversity and community composition of the rare taxa were more affected, and they were more closely clustered phylogenetically under N addition compared to the abundant taxa, suggesting the community assembly of the rare taxa was more governed by deterministic processes (e.g., environmental filtering). In contrast, the abundant taxa exhibited higher community abundance, broader environmental thresholds, and stronger phylogenetic signals under environmental changes than the rare taxa. Overall, these findings illustrate that the abundant and rare bacterial taxa respond distinctly to N addition in tropical forests, with higher sensitivity of the rare taxa, but potentially broader environmental acclimation of the abundant taxa. IMPORTANCE Atmospheric nitrogen (N) deposition is a worldwide environmental problem and threatens biodiversity and ecosystem functioning. Understanding the responses of community dynamics and assembly processes of abundant and rare soil bacterial taxa to anthropogenic N enrichment is vital for the management of N-polluted forest soils. Our sequence-based data revealed distinct responses in bacterial diversity, community composition, environmental acclimation, and assembly processes between abundant and rare taxa under N-addition soils in tropical forests. These findings provide new insight into the formation and maintenance of bacterial diversity and offer a way to better predict bacterial responses to the ongoing atmospheric N deposition in tropical forests.
Collapse
|
7
|
Hu B, Wu H, Han H, Cheng X, Kang F. Dramatic shift in the drivers of ecosystem service trade-offs across an aridity gradient: Evidence from China's Loess Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159836. [PMID: 36349631 DOI: 10.1016/j.scitotenv.2022.159836] [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: 08/18/2022] [Revised: 10/26/2022] [Accepted: 10/26/2022] [Indexed: 06/16/2023]
Abstract
Increased aridity creates challenges for sustainable ecosystem management due to the potential for trade-offs among ecosystem services. However, our understanding of how ecosystem service trade-offs (EST) respond to aridification remains limited. Here, generalized additive models and structural equation modeling were used to explore EST dynamics within an aridity gradient on the Loess Plateau, China. Trade-offs between water yield and both carbon storage and habitat quality showed nonlinear relationships with aridity, first increasing and then decreasing. Interestingly, climatic and human factors mostly indirectly influenced EST via effects on landscape characteristics. In regions with an Aridity Index (AI) value of <0.5, climatic and human factors strongly drove EST; in regions with AI > 0.5, landscape characteristics were most important. Therefore, landscape characteristics acted as the key regulators of EST. Importantly, AI values of ∼0.5 represented a transition point, after which dramatic shifts in EST-driver relationships were observed. As >22 % of the Earth's terrestrial surface is projected to reach this level of aridity by 2100, further research on this boundary (between sub-humid and semi-arid areas) is urgently needed to protect ecosystems from the effects of increasing aridity. This study may serve as a valuable reference for mitigating the potential negative effects of increased aridity on human well-being.
Collapse
Affiliation(s)
- Baoan Hu
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Qilaotu mountain National Observation and Research Station of Chinese Forest Ecosystem, Chifeng 024400, China
| | - Huifeng Wu
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Qilaotu mountain National Observation and Research Station of Chinese Forest Ecosystem, Chifeng 024400, China
| | - Hairong Han
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Qilaotu mountain National Observation and Research Station of Chinese Forest Ecosystem, Chifeng 024400, China.
| | - Xiaoqin Cheng
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Qilaotu mountain National Observation and Research Station of Chinese Forest Ecosystem, Chifeng 024400, China
| | - Fengfeng Kang
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Qilaotu mountain National Observation and Research Station of Chinese Forest Ecosystem, Chifeng 024400, China
| |
Collapse
|
8
|
Zhang M, Zhang R, Song R, An X, Chu G, Jia H. Soil pqqC-harboring bacterial community response to increasing aridity in semi-arid grassland ecosystems: Diversity, co-occurrence network, and assembly process. Front Microbiol 2022; 13:1019023. [PMID: 36338099 PMCID: PMC9633997 DOI: 10.3389/fmicb.2022.1019023] [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: 08/14/2022] [Accepted: 09/22/2022] [Indexed: 11/07/2023] Open
Abstract
Aridity is increasing in several regions because of global climate change, which strongly affects the soil microbial community. The soil pqqC-harboring bacterial community plays a vital role in soil P cycling and P availability. However, the effect of shifts in aridity on the pqqC community is largely unknown. Here, based on high-throughput sequencing technology, we investigated the response patterns of the diversity, co-occurrence networks, and assembly mechanisms of the soil pqqC communities along a natural aridity gradient in adjacent pairs of natural and disturbed grasslands in Inner Mongolia, China. The results showed that the α-diversity of the pqqC community first increased and then decreased with increasing aridity in the natural grassland, while it linearly increased as aridity increased in the disturbed grassland. The pqqC community dissimilarity significantly increased with increased aridity, exhibiting a steeper change rate in the disturbed grassland than in the natural grassland. Increased aridity altered the pqqC community composition, leading to increases in the relative abundance of Actinobacteria but decreases in Proteobacteria. The composition and structure of the pqqC community showed significant differences between natural and disturbed grasslands. In addition, the network analysis revealed that aridity improved the interactions among pqqC taxa and promoted the interspecific competition of pqqC microorganisms. The pqqC community assembly was primarily governed by stochastic processes, and the relative contribution of stochastic processes increased with increasing aridity. Furthermore, disturbances could affect pqqC-harboring bacterial interactions and assembly processes. Overall, our findings fill an important knowledge gap in our understanding of the influence of aridity on the diversity and assembly mechanism of the soil pqqC community in grassland ecosystems, and this work is thus conducive to predicting the pqqC community and its ecological services in response to future climate change.
Collapse
Affiliation(s)
- Mei Zhang
- College of Grassland Science, Xinjiang Agricultural University, Urumqi, China
- School of Life Science, Shaoxing University, Shaoxing, China
| | - Ruixi Zhang
- Inner Mongolia Autonomous Region Water Conservancy and Hydropower Survey and Design Institute Co., Ltd., Hohhot, China
| | - Riquan Song
- Inner Mongolia Institute of Water Conservancy Science Research, Hohhot, China
| | - Xilong An
- Xilin Gol League Bureau of Agriculture and Animal Husbandry, Xilinhot, China
| | - Guixin Chu
- School of Life Science, Shaoxing University, Shaoxing, China
| | - Hongtao Jia
- College of Grassland Science, Xinjiang Agricultural University, Urumqi, China
- Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi, China
| |
Collapse
|
9
|
Wang Y, Wang J, Zou X, Qu M, Li J. Groundwater depth regulates assembly processes of abundant and rare bacterial communities across arid inland river basin. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 319:115767. [PMID: 35982567 DOI: 10.1016/j.jenvman.2022.115767] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/18/2022] [Accepted: 07/13/2022] [Indexed: 06/15/2023]
Abstract
Although numerous studies on bacterial biogeographic patterns in dryland have been conducted, bacterial community assembly across arid inland river basins is unclear. Here, we assessed the ecological drivers that regulate the assembly processes of abundant (ABS) and rare (RBS) bacterial subcommunities based on 162 soil samples collected in an arid inland river basin of China. The results showed that: (1) ABS exhibited a steeper distance-decay slope, and were more strongly affected by dispersal limitation (75.5% and 84.5%), than RBS in surface and subsurface soil. RBS were predominantly controlled by variable selection (54.6% and 50.2%). (2) Soil electric conductivity played a decisive role in mediating the balance between deterministic and stochastic processes of ABS and RBS in surface soil, increasing soil electric conductivity increased the importance of deterministic process. For subsurface soil, soil available phosphorus (SAP) and soil pH drove the balance in the assembly processes of ABS and RBS, respectively. The RBS shifted from determinism to stochasticity with decreased pH, while the dominance of deterministic processes was higher in low-SAP sites. (3) Groundwater depth seasonality had substantial effects on the assembly processes of ABS and RBS, but groundwater depth seasonality affected them indirectly mainly by regulating soil properties. Collectively, our study provides robust evidence that groundwater-driven variations in soil properties mediates the community assembly process of soil bacteria in arid inland river basins. This finding is of importance for forecasting the dynamics of soil microbial community and soil process in response to current and future depleted groundwater.
Collapse
Affiliation(s)
- Yin Wang
- School of Ecology and Nature Conservation, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 100083, China.
| | - Jianming Wang
- School of Ecology and Nature Conservation, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 100083, China.
| | - Xuge Zou
- School of Ecology and Nature Conservation, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 100083, China.
| | - Mengjun Qu
- School of Ecology and Nature Conservation, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 100083, China.
| | - Jingwen Li
- School of Ecology and Nature Conservation, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 100083, China.
| |
Collapse
|