The ectomycorrhizal fungal communities react differently to climatic, edaphic and spatial variables depending on their host species

Sugiyama, Yasumasa; Matsuoka, Shiro; Osono, Takashi

doi:10.1111/jbi.14220

Cited by 3 publications

(3 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While soil variables had varying degrees of importance, their roles were generally secondary to climate variables, particularly in community composition. The stronger influence of climate factors compared with soil factors on EM fungal communities agrees with the findings of global studies (Větrovský et al, 2019) and local‐scale studies conducted in Japan (Shigyo & Hirao, 2021; Sugiyama et al, 2021). Moreover, in the mountains of central Japan, soil properties have been reported to be more important drivers of the richness patterns of saprotrophic fungi than of EM fungi (Ogwu et al, 2019; Shigyo & Hirao, 2021).…”

Section: Discussionsupporting

confidence: 85%

Climate conditions are primary predictors of the regional‐scale spatial diversity patterns of ectomycorrhizal fungi

Miyamoto,

Murata,

Koizumi

et al. 2023

Journal of Biogeography

View full text Add to dashboard Cite

AimSpatial models are valuable for revealing biodiversity patterns but are less commonly applied to soil microbes than to aboveground macroorganisms. Ectomycorrhizal (EM) fungi are symbiotic microbes with high taxonomic and functional diversity that are associated with forest trees. We aimed to predict regional‐scale spatial patterns of EM fungal richness and community composition.LocationForests and subalpine ecosystems in Japan, from Hokkaido to Okinawa.TaxonEM fungi (Asco‐ and Basidiomycetes).MethodsWe used EM fungal DNA sequence data from 1507 soil cores at 39 sites covering a wide range of environmental conditions. The random forest machine learning approach was applied to determine the relative importance of environmental variables (i.e. climate, soil and ecosystem productivity) and to make spatial predictions. The spatial patterns of EM fungal richness and community composition were mapped at 1‐km2 grid resolution.ResultsTemperature generally had a strong influence on EM fungal richness and community composition dissimilarity. Our regional spatial analysis revealed that (1) EM fungal richness was higher in northeastern and montane regions than in southwestern regions and low‐elevation plains, (2) different EM fungal lineages exhibited contrasting spatial diversity patterns and (3) community composition dissimilarity shifted sharply from high to low elevations, and gradually from northeastern to southwestern regions, mainly in relation to climate gradients. Areas with low applicability for spatial modelling were identified based on multidimensional environmental spaces, which will help to prioritize data collection for future research.Main ConclusionsOur study provides a baseline of the potential spatial patterns of EM fungal communities, which were explained primarily by climate variables and secondarily by soil factors and ecosystem productivity. The predicted spatial patterns may be valuable for identifying diversity hotspots and advancing the assessment of climate change impacts on ecologically important root‐associated fungi.

show abstract

Section: Discussionsupporting

confidence: 85%

Climate conditions are primary predictors of the regional‐scale spatial diversity patterns of ectomycorrhizal fungi

Miyamoto,

Murata,

Koizumi

et al. 2023

Journal of Biogeography

View full text Add to dashboard Cite

show abstract

“…The results showed that overall ectomycorrhizal fungal community structure differed significantly among three different vegetation (Fig. 5), which supported our second hypothesis, confirming previous results which showed that ECM community structures may be directly impacted by their host (Sugiyama et al 2021;Rosinger et al 2018;Scheibe et al 2015;Urbanová et al 2015;Saitta et al 2018;Molina and Horton 2015). Differences in soil microbiome among different samples were mainly caused by the plant community, as observed in other mining site under a revegetation program.…”

Section: Responses Of Soil Ectomycorrhizal Fungal Community Diversity...supporting

confidence: 88%

Characterization of ectomycorrhizal fungal communities associated with tree species on an iron tailings deposit undergoing restoration

Zhu

Ding

Zhu

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Vegetation restoration is an effective method to improve the ecological environment of mine tailings, which has a profound impact on the potential ecological functions of soil fungal communities; yet, little is known about its beneficial effect on soil ectomycorrhizal fungal community. In this study, the responses of soil characteristics and soil ectomycorrhizal fungal community diversity and structure to different revegetation, as well as the contribution of soil factors to soil ectomycorrhizal community were investigated in Liaoning Province, China. As we anticipated, the presence of vegetation significantly improved most soil properties we studied. What’s more, compared to Korean pine (Pinus koraiensis Sieb. et Zucc.), Chinese poplar (Populus simonii Carr), and black locust (Robinia pseudoacacia L) could better improve soil total carbon, total nitrogen, total phosphorus, and available phosphorus. In addition, soil ectomycorrhizal fungal community diversity in black locust was greater than Korean pine and Populus simonii. Nonmetric multidimensional scaling analyses indicated that soil ectomycorrhizal community significantly differed depending on different revegetation types. Thus, these results indicated that black locust could be a suitable species for the revegetation of iron mine tailings. The study provided theoretical basis for ecological restoration of iron mine tailings using local plant species.

show abstract

“…The deterministic process is mainly determined by abiotic factors ( i.e ., climatic conditions and soil factors) and biotic factors (host plant specificity), which represents the influence of environmental choice on the composition of EM fungal community. It has been found that abiotic factors (soil factors, precipitation) are the decisive factors for EM fungal community compositions ( Mühlmann, Bacher & Peintner, 2008 ; Blaalid et al, 2012 ; Davey et al, 2015 ; Mundra et al, 2015 ; Koizumi & Nara, 2020 ; Sugiyama, Matsuoka & Osono, 2021 ). The research on the EM fungi associated with Kobresia capillifolia , Carex parva , Polygonum macrophyllum , and Potentilla fallens distributed in the Daxueshan, Hongshan, and Baima Snow mountains showed that EM fungi have a preference for host plants ( Gao & Yang, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

First report of the ectomycorrhizal fungal community associated with two herbaceous plants in Inner Mongolia, China

Fan

Xiang

Wang

et al. 2023

PeerJ

View full text Add to dashboard Cite

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.

show abstract

The ectomycorrhizal fungal communities react differently to climatic, edaphic and spatial variables depending on their host species

Cited by 3 publications

References 50 publications

Climate conditions are primary predictors of the regional‐scale spatial diversity patterns of ectomycorrhizal fungi

Climate conditions are primary predictors of the regional‐scale spatial diversity patterns of ectomycorrhizal fungi

Characterization of ectomycorrhizal fungal communities associated with tree species on an iron tailings deposit undergoing restoration

First report of the ectomycorrhizal fungal community associated with two herbaceous plants in Inner Mongolia, China

Contact Info

Product

Resources

About