Effects of host species, environmental filtering and forest age on community assembly of ectomycorrhizal fungi in fragmented forests

Boeraeve, Margaux; Honnay, Olivier; Jacquemyn, Hans

doi:10.1016/j.funeco.2018.08.003

Cited by 34 publications

(29 citation statements)

References 82 publications

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“…Our results clearly demonstrated that the ECM fungal compositions were primarily determined by host species rather than the soil environments and spatial arrangements of the plots. Similar ECM fungal community composition within the same host species and/or phylogeny has also been detected in other sites and host taxa [4,[8][9][10]12]. These similarities in ECM fungal community compositions have been related to the preference of the fungi and/or host tree to partner species; however, the exact mechanism of the preference has not been fully revealed, and we could not distinguish between fungal preference and plant preference in the present study.…”

Section: Discussionsupporting

confidence: 72%

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Evaluation of host effects on ectomycorrhizal fungal community compositions in a forested landscape in northern Japan

et al. 2020

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Community compositions of ectomycorrhizal (ECM) fungi are similar within the same host taxa. However, careful interpretation is required to determine whether the combination of ECM fungi and plants is explained by the host preference for ECM fungi, or by the influence of neighbouring heterospecific hosts. In the present study, we aimed to evaluate the effects of host species on the ECM community compositions in a forested landscape (approx. 10 km) where monodominant forest stands of six ECM host species belonging to three families were patchily distributed. A total of 180 ECM operational taxonomic units (OTUs) were detected with DNA metabarcoding. Quantitative multivariate analyses revealed that the ECM community compositions were primarily structured by host species and families, regardless of the soil environments and spatial arrangements of the sampling plots. In addition, 38 ECM OTUs were only detected from particular host tree species. Furthermore, the neighbouring plots harboured similar fungal compositions, although the host species were different. The relative effect of the spatial factors on the ECM compositions was weaker than that of host species. Our results suggest that the host preference for ECM fungi is the primary determinant of ECM fungal compositions in the forested landscape.

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Section: Discussionsupporting

confidence: 72%

“…Actually, the ECM fungal communities are simultaneously affected by each of these factors. Thus, researchers are now trying to quantify the effect of each factor on ECM fungal communities separately and have found significant effects of host trees on ECM communities [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of host effects on ectomycorrhizal fungal community compositions in a forested landscape in northern Japan

et al. 2020

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“…Mature forest may not be able to support a large diversity of fungi because of loss and changes in nutrient and plant species. Forest productivity will reach a plateau around 40 years old for most of the tree species [84,85]. After the maximum growth, we can observe a decrease of the primary production, photosynthesis, nutrients, and an increase of dead woods [86].…”

Section: Abiotic Drivers Of Fungal Richnessmentioning

confidence: 95%

Estimation of Fungal Diversity and Identification of Major Abiotic Drivers Influencing Fungal Richness and Communities in Northern Temperate and Boreal Quebec Forests

Laperriere

Chagnon

Giguère-Tremblay

et al. 2019

Forests

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Fungi play important roles in forest ecosystems and understanding fungal diversity is crucial to address essential questions about species conservation and ecosystems management. Changes in fungal diversity can have severe impacts on ecosystem functionality. Unfortunately, little is known about fungal diversity in northern temperate and boreal forests, and we have yet to understand how abiotic variables shape fungal richness and composition. Our objectives were to make an overview of the fungal richness and the community composition in the region and identify their major abiotic drivers. We sampled 262 stands across the northern temperate and boreal Quebec forest located in the region of Abitibi-Témiscamingue, Mauricie, and Haute-Mauricie. At each site, we characterized fungal composition using Illumina sequencing, as well as several potential abiotic drivers (e.g., humus thickness, soil pH, vegetation cover, etc.). We tested effects of abiotic drivers on species richness using generalized linear models, while difference in fungal composition between stands was analyzed with permutational multivariate analysis of variance and beta-diversity partitioning analyses. Fungi from the order Agaricales, Helotiales, and Russulales were the most frequent and sites from the north of Abitibi-Témiscamingue showed the highest OTUs (Operational Taxonomic Unit) richness. Stand age and moss cover were the best predictors of fungal richness. On the other hand, the strongest drivers of fungal community structure were soil pH, average cumulative precipitation, and stand age, although much of community variance was left unexplained in our models. Overall, our regional metacommunity was characterized by high turnover rate, even when rare OTUs were removed. This may indicate strong environmental filtering by several unmeasured abiotic filters, or stronger than expected dispersal limitations in soil fungal communities. Our results show how difficult it can be to predict fungal community assembly even with high replication and efforts to include several biologically relevant explanatory variables.

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“…The reason that these species were absent from the root and soil may be that their trimmed reads had less than 75% of their original length in the data processing and resulted in their removal. It could also be that the ECM fungi aboveground could transport their spores over long distances to other places through the wind, resulting in species migration (Roy et al, 2008;Hirose, Shirouzu & Tokumasu, 2010;Vellend, 2010;Vincenot et al, 2012;Sheedy et al, 2015;Boeraeve, Honnay & Jacquemyn, 2018;Koizumi, Hattori & Nara, 2018). Thus, we could not exclude this possibility.…”

Section: Discussionmentioning

confidence: 99%

The community composition variation of Russulaceae associated with the Quercus mongolica forest during the growing season at Wudalianchi City, China

Xing

Yang

Gao

et al. 2020

PeerJ

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Background Most species of the Russulaceae are ectomycorrhizal (ECM) fungi, which are widely distributed in different types of forest ecology and drive important ecological and economic functions. Little is known about the composition variation of the Russulaceae fungal community aboveground and in the root and soil during the growing season (June–October) from a Quercus mongolica forest. In this study, we investigated the changes in the composition of the Russulaceae during the growing season of this type of forest in Wudalianchi City, China. Methods To achieve this, the Sanger sequencing method was used to identify the Russulaceae aboveground, and the high-throughput sequencing method was used to analyze the species composition of the Russulaceae in the root and soil. Moreover, we used the Pearson correlation analysis, the redundancy analysis and the multivariate linear regression analysis to analyze which factors significantly affected the composition and distribution of the Russulaceae fungal community. Results A total of 56 species of Russulaceae were detected in the Q. mongolica forest, which included 48 species of Russula, seven species of Lactarius, and one species of Lactifluus. Russula was the dominant group. During the growing season, the sporocarps of Russula appeared earlier than those of Lactarius. The number of species aboveground exhibited a decrease after the increase and were significantly affected by the average monthly air temperature (r = −0.822, p = 0.045), average monthly relative humidity (r = −0.826, p = 0.043), monthly rainfall (r = 0.850, p = 0.032), soil moisture (r = 0.841, p = 0.036) and soil organic matter (r = 0.911, p = 0.012). In the roots and soils under the Q. mongolica forest, the number of species did not show an apparent trend. The number of species from the roots was the largest in September and the lowest in August, while those from the soils were the largest in October and the lowest in June. Both were significantly affected by the average monthly air temperature (r2 = 0.6083, p = 0.040) and monthly rainfall (r2 = 0.6354, p = 0.039). Moreover, the relative abundance of Russula and Lactarius in the roots and soils showed a linear correlation with the relative abundance of the other fungal genera.

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Effects of host species, environmental filtering and forest age on community assembly of ectomycorrhizal fungi in fragmented forests

Cited by 34 publications

References 82 publications

Evaluation of host effects on ectomycorrhizal fungal community compositions in a forested landscape in northern Japan

Evaluation of host effects on ectomycorrhizal fungal community compositions in a forested landscape in northern Japan

Estimation of Fungal Diversity and Identification of Major Abiotic Drivers Influencing Fungal Richness and Communities in Northern Temperate and Boreal Quebec Forests

The community composition variation of Russulaceae associated with the Quercus mongolica forest during the growing season at Wudalianchi City, China

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