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Liu Z, Fang J, He Y, Bending GD, Song B, Guo Y, Wang X, Fang Z, Adams JM. Distinct biogeographic patterns in Glomeromycotinian and Mucoromycotinian arbuscular mycorrhizal fungi across China: A meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168907. [PMID: 38061652 DOI: 10.1016/j.scitotenv.2023.168907] [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: 09/15/2023] [Revised: 11/20/2023] [Accepted: 11/24/2023] [Indexed: 01/18/2024]
Abstract
Fine root endophytes, recently reclassified as Mucoromycotinian arbuscular mycorrhizal fungi (M-AMF), are now recognized as functionally important as Glomeromycotinian AMF (G-AMF). However, little is known about the biogeography and ecology of M-AMF and G-AMF communities, particularly on a large scale, preventing a systematic assessment of ecosystem diversity and functioning. Here, we investigated the biogeographic assemblies and ecological diversity patterns of both G-AMF and M-AMF, using published 18S rDNA amplicon datasets and associated metadata from 575 soil samples in six ecosystems across China. Contrasting with G-AMF, putative M-AMF were rare in natural/semi-natural sites, where their communities were a subset of those in agricultural sites characterized by intensive disturbances, suggesting different ecological niches that they could occupy. Spatial and environmental factors (e.g., vegetation type) significantly influenced both fungal communities, with soil total‑nitrogen and mean-annual-precipitation being the strongest predictors for G-AMF and M-AMF richness, respectively. Both groups exhibited a strong spatial distance-decay relationship, shaped more by environmental filtering than spatial effects for M-AMF, and the opposite for G-AMF, presumably because stochasticity (e.g., drift) dominantly structured G-AMF communities; while the narrower niche breadth (at community-level) of M-AMF compared to G-AMF suggested its more susceptibility to environmental differences. Furthermore, co-occurrence network links between G-AMF and M-AMF were prevalent across ecosystems, and were predicted to play a key role in stabilizing overall communities harboring both fungi. Based on the macroecological spatial scale datasets, this study provides solid evidence that the two AMF groups have distinct ecological preferences at the continental scale in China, and also highlights the potential impacts of anthropogenic activities on distributions of AMF. These results advance our knowledge of the ecological differences between the two fungal groups in terrestrial ecosystems, suggesting the need for further field-based investigation that may lead to a more sophisticated understanding of ecosystem function and sustainable management.
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Affiliation(s)
- Zihao Liu
- School of Geography and Ocean Science, Nanjing University, Nanjing 210008, China
| | - Jie Fang
- School of Geography and Ocean Science, Nanjing University, Nanjing 210008, China
| | - Yucheng He
- School of Geography and Ocean Science, Nanjing University, Nanjing 210008, China
| | - Gary D Bending
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
| | - Bin Song
- School of Geography and Ocean Science, Nanjing University, Nanjing 210008, China; Department of Forest Sciences, University of Helsinki, PO Box 27, Latokartanonkaari 7, FI-00014 Helsinki, Finland.
| | - Yaping Guo
- School of Geography and Ocean Science, Nanjing University, Nanjing 210008, China
| | - Xiaojie Wang
- School of Life Sciences, Anhui University, Hefei 230601, China
| | - Zemin Fang
- School of Life Sciences, Anhui University, Hefei 230601, China
| | - Jonathan M Adams
- School of Geography and Ocean Science, Nanjing University, Nanjing 210008, China.
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Soil Salinity Variations and Associated Implications for Agriculture and Land Resources Development Using Remote Sensing Datasets in Central Asia. REMOTE SENSING 2022. [DOI: 10.3390/rs14102501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Global agricultural lands are becoming saline because of human activities that have affected crop production and food security worldwide. In this study, the spatiotemporal variability of soil electrical conductivity (EC) in Central Asia was evaluated based on high-resolution multi-year predicted soil EC data, Moderate Resolution Imaging Spectroradiometer (MODIS) land cover product, precipitation, reference evapotranspiration, population count, and soil moisture datasets. We primarily detected pixel-based soil EC trends over the past three decades and correlated soil EC with potential deriving factors. The results showed an overall increase in salt-affected areas between 1990 and 2018 for different land cover types. The soil EC trend increased by 6.86% (p < 0.05) over Central Asia during 1990–2018. The open shrub lands dominated by woody perennials experienced the highest increasing soil salinity trend, particularly in Uzbekistan and Turkmenistan local areas, while there was a decreasing soil EC trend in the cropland areas, such as in Bukhara and Khorezm (Uzbekistan). The main factors that affect the variability of soil salinity were strongly associated with population pressure and evapotranspiration. This study provides comprehensive soil EC variations and trends from the local to regional scales. Agriculture and land resource managers must tackle the rising land degradation concerns caused by the changing climate in arid lands and utilise geoinformatics.
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Zheng J, Cui M, Wang C, Wang J, Wang S, Sun Z, Ren F, Wan S, Han S. Elevated CO 2, warming, N addition, and increased precipitation affect different aspects of the arbuscular mycorrhizal fungal community. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150522. [PMID: 34571234 DOI: 10.1016/j.scitotenv.2021.150522] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 09/16/2021] [Accepted: 09/18/2021] [Indexed: 06/13/2023]
Abstract
The functional diversity of arbuscular mycorrhizal fungi (AMF) affects the resistance and resilience of plant communities to environmental stress. However, considerable uncertainty remains regarding how the complex interactions among elevated atmospheric CO2 (eCO2), nitrogen deposition (eN), precipitation (eP), and warming (eT) affect AMF communities. These global change factors (GCFs) do not occur in isolation, and their interactions likely affect AMF community structure and assembly processes. In this study, the interactive effects of these four GCFs on AMF communities were explored using an open-top chamber field experiment in a semiarid grassland. Elevated CO2, eN, eT, eP, and their interactions did not affect AMF biomass. The relative abundance of Paraglomus increased with N addition across treatment combinations, whereas that of Glomus decreased with N addition, especially combined with eT and eCO2. Precipitation, temperature (T), and N affected AMF phylogenetic α-diversity, and the three-way interaction among CO2, T, and N affected taxonomic and phylogenetic α-diversity. N addition significantly affected the composition of AMF communities. Both variable selection and dispersal limitation played major roles in shaping AMF communities, whereas homogeneous selection and homogenizing dispersal had little effect on AMF community assembly. The contribution of variable selection decreased under eCO2, eN and eT but not under eP. The contribution of dispersal limitation decreased under eCO2, eT, and eP but increased under eN. The assembly of AMF communities under the sixteen GCF combinations was strongly affected by dispersal limitation, variable selection and ecological drift. Elevated CO2, warming, N addition, and increased precipitation affected different aspects of AMF communities. The interactive effects of the four GCFs on AMF communities were limited. Overall, the results of this study suggest that AMF communities in semiarid grasslands can resist changes in global climate.
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Affiliation(s)
- Junqiang Zheng
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China.
| | - Mingming Cui
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China
| | - Cong Wang
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China
| | - Jian Wang
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China
| | - Shilin Wang
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China
| | - Zhongjie Sun
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China
| | - Feirong Ren
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China
| | - Shiqiang Wan
- College of Life Sciences, Institute of Life Science and Green Development, Hebei University, Baoding 071002, Hebei, China
| | - Shijie Han
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng,475004, Henan, China; Yellow River Floodplain Ecosystems Research Station, Henan University, Xingyang, China.
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