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Wang S, Jiang X, Li J, Zhao X, Han E, Qu H, Ma X, Lian J. Increasing precipitation weakened the negative effects of simulated warming on soil microbial community composition in a semi-arid sandy grassland. Front Microbiol 2023; 13:1074841. [PMID: 36704553 PMCID: PMC9872155 DOI: 10.3389/fmicb.2022.1074841] [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: 10/20/2022] [Accepted: 12/14/2022] [Indexed: 01/11/2023] Open
Abstract
Soil microbial diversity, composition, and function are sensitive to global change factors. It has been predicted that the temperature and precipitation will increase in northern China. Although many studies have been carried out to reveal how global change factors affect soil microbial biomass and composition in terrestrial ecosystems, it is still unexplored how soil microbial diversity and composition, especially in microbial functional genes, respond to increasing precipitation and warming in a semiarid grassland of northern China. A field experiment was established to simulate warming and increasing precipitation in a temperate semiarid grassland of the Horqin region. Soil bacterial (16S) and fungal (ITS1) diversity, composition, and functional genes were analyzed after two growing seasons. The result showed that warming exerted negative effects on soil microbial diversity, composition, and predicted functional genes associated with carbon and nitrogen cycles. Increasing precipitation did not change soil microbial diversity, but it weakened the negative effects of simulated warming on soil microbial diversity. Bacterial and fungal diversities respond consistently to the global change scenario in semiarid sandy grassland, but the reasons were different for bacteria and fungi. The co-occurrence of warming and increasing precipitation will alleviate the negative effects of global change on biodiversity loss and ecosystem degradation under a predicted climate change scenario in a semiarid grassland. Our results provide evidence that soil microbial diversity, composition, and function changed under climate change conditions, and it will improve the predictive models of the ecological changes of temperate grassland in future climate change scenarios.
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Affiliation(s)
- Shaokun Wang
- Urat Desert-Grassland Research Station, Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China,Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions of Gansu Province, Lanzhou, China,*Correspondence: Shaokun Wang,
| | - Xingchi Jiang
- Urat Desert-Grassland Research Station, Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Junyao Li
- Urat Desert-Grassland Research Station, Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Xueyong Zhao
- Urat Desert-Grassland Research Station, Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
| | - Erniu Han
- Urat National Nature Reserve Management Bureau of Bayannur, Bayannur, China
| | - Hao Qu
- Urat Desert-Grassland Research Station, Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China,Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions of Gansu Province, Lanzhou, China
| | - Xujun Ma
- Urat Desert-Grassland Research Station, Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China,Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions of Gansu Province, Lanzhou, China
| | - Jie Lian
- Urat Desert-Grassland Research Station, Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
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Chen J, Shi Z, Liu S, Zhang M, Cao X, Chen M, Xu G, Xing H, Li F, Feng Q. Altitudinal Variation Influences Soil Fungal Community Composition and Diversity in Alpine–Gorge Region on the Eastern Qinghai–Tibetan Plateau. J Fungi (Basel) 2022; 8:jof8080807. [PMID: 36012795 PMCID: PMC9410234 DOI: 10.3390/jof8080807] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 12/04/2022] Open
Abstract
Soil fungi play an integral and essential role in maintaining soil ecosystem functions. The understanding of altitude variations and their drivers of soil fungal community composition and diversity remains relatively unclear. Mountains provide an open, natural platform for studying how the soil fungal community responds to climatic variability at a short altitude distance. Using the Illumina MiSeq high-throughput sequencing technique, we examined soil fungal community composition and diversity among seven vegetation types (dry valley shrub, valley-mountain ecotone broadleaved mixed forest, subalpine broadleaved mixed forest, subalpine coniferous-broadleaved mixed forest, subalpine coniferous forest, alpine shrub meadow, alpine meadow) along a 2582 m altitude gradient in the alpine–gorge region on the eastern Qinghai–Tibetan Plateau. Ascomycota (47.72%), Basidiomycota (36.58%), and Mortierellomycota (12.14%) were the top three soil fungal dominant phyla in all samples. Soil fungal community composition differed significantly among the seven vegetation types along altitude gradients. The α-diversity of soil total fungi and symbiotic fungi had a distinct hollow pattern, while saprophytic fungi and pathogenic fungi showed no obvious pattern along altitude gradients. The β-diversity of soil total fungi, symbiotic fungi, saprophytic fungi, and pathogenic fungi was derived mainly from species turnover processes and exhibited a significant altitude distance-decay pattern. Soil properties explained 31.27−34.91% of variation in soil fungal (total and trophic modes) community composition along altitude gradients, and the effects of soil nutrients on fungal community composition varied by trophic modes. Soil pH was the main factor affecting α-diversity of soil fungi along altitude gradients. The β-diversity and turnover components of soil total fungi and saprophytic fungi were affected by soil properties and geographic distance, while those of symbiotic fungi and pathogenic fungi were affected only by soil properties. This study deepens our knowledge regarding altitude variations and their drivers of soil fungal community composition and diversity, and confirms that the effects of soil properties on soil fungal community composition and diversity vary by trophic modes along altitude gradients in the alpine–gorge region.
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Affiliation(s)
- Jian Chen
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Zuomin Shi
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
- Institute for Sustainable Plant Protection, National Research Council of Italy, 10135 Torino, Italy
- Correspondence:
| | - Shun Liu
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Miaomiao Zhang
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Xiangwen Cao
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Miao Chen
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Gexi Xu
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Hongshuang Xing
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Feifan Li
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; (J.C.); (S.L.); (M.Z.); (X.C.); (M.C.); (G.X.); (H.X.); (F.L.)
- Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County 623100, China
| | - Qiuhong Feng
- Ecological Restoration and Conservation on Forest and Wetland Key Laboratory of Sichuan Province, Sichuan Academy of Forestry, Chengdu 610081, China;
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Rillig MC, Lehmann A, Orr JA, Waldman WR. Mechanisms underpinning nonadditivity of global change factor effects in the plant-soil system. THE NEW PHYTOLOGIST 2021; 232:1535-1539. [PMID: 34482557 DOI: 10.1111/nph.17714] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 08/27/2021] [Indexed: 06/13/2023]
Abstract
Plant-soil systems are key for understanding the effects of factors of global change. Recent work has highlighted the general importance of considering the simultaneous incidence of some factors or stressors. To help mechanistically dissect the possible interactions of such factors, we here propose three broad groups of mechanisms that may generally lead to nonadditivity of responses within a plant-soil system: direct factor interactions (that is one factor directly changing another), within-plant information processing and crosstalk, and effects of factors on groups of soil biota interacting with plants. Interactions are also possible within and across these groups. Factor interactions are very likely to be present in experiments, especially when dealing with an increasing number of factors. Identifying the nature of such interactions will be essential for understanding and predicting global change impacts on plants and soil.
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Affiliation(s)
- Matthias C Rillig
- Institut für Biologie, Freie Universität Berlin, Berlin, 14195, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, 14195, Germany
| | - Anika Lehmann
- Institut für Biologie, Freie Universität Berlin, Berlin, 14195, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, 14195, Germany
| | - James A Orr
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Walter R Waldman
- Department of Physics, Chemistry and Mathematics, Federal University of São Carlos, Sorocaba, São Paulo, 18052-780, Brazil
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