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Article

Impact of Stump Removal on Communities of Ectomycorrhizal and Other Soil Fungi in Norway Spruce Stands of Latvia

Latvian State Forest Research Institute Silava, Rigas 111, 2169 Salaspils, Latvia
*
Author to whom correspondence should be addressed.
Diversity 2022, 14(8), 673; https://doi.org/10.3390/d14080673
Submission received: 12 July 2022 / Revised: 16 August 2022 / Accepted: 16 August 2022 / Published: 18 August 2022
(This article belongs to the Special Issue Forest Fungi Diversity and Their Ecological Significance)

Abstract

:
Heterobasidion root rot is one of the most economically important conifer diseases in the Northern Hemisphere, and stump removal is considered to be one of most effective control methods. However, the impact of stump removal on the diversity of mycorrhizal and soil fungi should be evaluated. From 2011 to 2012, a stump removal trial was established in six different sample plots in two regions of Latvia. The stump removal sites and control sites were replanted with spruce seedlings in 2012. Seven years later, soil samples were collected in the stump removal and control sample plots to compare the diversity of mycorrhizal and soil fungi. Fungal communities were analyzed using next-generation sequencing methods. Our results showed that there are no significant differences in mycorrhizal and soil fungal communities between the stump removal area and the clear-felled control area seven years later. The mycorrhizal fungi were the most commonly sequenced fungal ecological group, and their diversity was similar to clear-felled control sites. However, there were some differences in the fungal species composition.

1. Introduction

Fungi from the Heterobasidion annosum species complex can cause root rot and stem the decay of many coniferous and some deciduous trees in the Northern Hemisphere, mainly in Europe, causing economic losses of more than 500 million EU [1,2]. The species complex comprises five fungal species: Heterobasidion annosum s.s., H. parviporum, H. abietinum, H. occidentale, and H. irregulare, which all have different geographical ranges and host preferences [2]. Heterobasidion infection can spread in two ways: by air-borne basidiospores, which infect freshly cut conifer stumps, as well as by infecting bark-peeling wounds of living trees, usually close to the stem base; and by mycelium, infecting closely-standing trees or newly-planted seedlings through root contact [3]. The viable Heterobasidion mycelium can survive in conifer stumps for decades, which means that infection tends to accumulate in forest areas over time [4,5].
In Latvia, the Norway spruce (Picea abies (L.) Karst) is one of the most economically significant and widespread tree species [6]. A country-scale inventory made in 2005–2006 revealed that approximately 23% of all Latvian spruces contained butt and stem rot, mainly caused by H. parviporum [7]. Stump removal is considered to be the most efficient method to reduce Heterobasidion infection incidences in already-infected forest stands [8,9,10,11]. However, this method could have a negative impact on stand biodiversity, as it causes site disturbances due to stump extraction, which may lead to changes in soil properties [12]. Soil and mycorrhizal fungi play a crucial role in degrading organic materials, as they positively impact tree growth and resistance to soil-borne diseases in tree seedlings [13,14]. The high diversity of soil microorganisms contributes to the resilience of ecosystems against disturbances, which is becoming more relevant in the context of global change [15]. Many of these soil microorganisms are affected by changes in land use, as well as management practices [16,17,18]. Therefore, it is important to evaluate the impact of stump removal on the diversity of soil fungi, as well as on the mycorrhization of spruce seedlings planted after stump removal.
Data about the impact of stump removal on the diversity of mycorrhizal [19,20,21,22,23] and soil fungi [24] are scarce, and most of the research was conducted 2–5 years after seedling planting. However, new technologies for the analysis of environmental DNA samples have expanded the understanding of the diversity and abundance of soil-dwelling organisms, including fungi [25]. The Pacific Bioscience SMRT Sequencing Platform allows long sequence reads to be obtained, allowing for more accurate identification of soil fungi and thus, a clearer description of their diversity. Recent studies have shown the usefulness of this method for the study of microscopic fungi in forest soils [26].
The aim of the current research was to evaluate the impact of stump removal on the diversity of mycorrhizal and soil fungi seven years after the replanting of the stump removal site.

2. Materials and Methods

2.1. Field Work

In 2011–2012, a long-term field trial using stump removal as a Heterobasidion root rot control method was established [27]. For this study, we selected sites where stump removal was carried out under similar conditions and in the same period, but without previous evaluation of the Heterobasidion infection rate. The territory of Latvia is characterized by a temperate climate. Sampling areas were located in Central Latvia, where the average annual temperature ranges from 6.8 to 7.9 °C and annual precipitation rate ranges from 574 to 636 mm. In total, six sample plots in two Latvian regions (Figure 1) were analyzed. All sample plots were clear-felled in 2010–2011, and the area of each stand was more than 1 ha. Three forest stands were of a Hylocomiosa forest site type, and three were of a Oxalidosa forest site type [28].
Each sample plot was divided in two parts, 0.5 ha each: one left intact, and one where section stumps were removed using New Holland E21B caterpillar excavators, fitted with a MCR500 stump head and a Komatsu PC210LC with a CBI stump head [29]. The soil of the clear-felled control area was prepared prior to planting by using a disc-trenching method. All sample plots were replanted in 2012 with Picea abies seedlings (both containerized and bare-rooted).
During September and October of 2019, soil samples were collected for the analysis of fungal community and diversity using molecular methods in all six stump removal sites. Soil sampling was done as follows: 10 circular sub-sample plots with a radius of 5 m were established within each long-term sample plot, with six plots in the stump removal areas and six in the control areas. In each sample plot, the average growth rates of saplings (height and diameter), as well as tree species composition were assessed, and soil samples were collected from five spruce saplings growing in each sub-sample plot. Soil samples were collected at a depth of 20 cm using a soil probe [30]. A total of 60 soil samples were collected: 30 samples from the stump removal plots and 30 samples from the control plots.

2.2. Sample Preparation and Sequencing

In the laboratory, the soil samples were sorted by removing litter, and the roots of woody plants and forbs, all of which were discarded. Root samples were washed and mechanically cleaned to remove soil particles before freezing. Samples of both soil and roots were lyophilized and stored at −20 °C for fungal diversity analysis. A portion of the collected soil was analyzed in the LSFRI Silava Environmental Laboratory where soil chemical composition was determined.
Sample preparation and total DNA extraction was performed at the LSFRI Silava Forest Phytopathology and Mycology Laboratory, as well as at the LSFRI Silava Genetic Resources Center. Further laboratory processes were done at the end of May 2021, at the University of Tartu, Estonia. Amplification of DNA samples was performed with sample-specific, double-labeled primers. The primer pair used in this study was the primer F-ITS1CATTA and the universal primer R-ITS4ngsUni [31,32]. This pair of primers enables the generation of complete fungal species-specific ITS region sequences that allow detailed identification of fungal species. The polymerase chain reaction mixture was a total of 25 µL for each reaction; 5 µL of 5× HOT FIREPol Blend Master Mix (Solis Biodyne, Tartu, Estonia) and 18 µL of ddH2O was used per sample. 23 µL of the mixture was added to the PCR plate, and then 1 μL of the DNA sample and 0.5 µL of each primer (20 mM) were added. The PCR thermal cycling conditions were as follows: initial denaturation for 15 min at 95 °C, for 30–35 cycles; DNA denaturation at 95 °C for 30 s; primer hybridization at 57 °C for 30 s; DNA synthesis at 72 °C for 1 min; and the final synthesis at 72 °C for 10 min. The polymerase chain reaction products (5 µL) were tested on a 1% agarose gel to assess the amount of amplified DNA. The volume of PCR products corresponding to the concentration of each sample was combined in one sample library. The library was purified using the FavorPrep PCR Purification Kit (Favorgen Biotech. Corp., Vienna, Austria).
The prepared samples were sent to the University of Oslo in Norway for sequencing using the Pacific Bioscience SequelII sequencing platform (Pacific Biosciences, Inc. Menlo Park, CA, USA). Libraries were prepared according to the manufacturer’s protocol. Polymerase chain reaction products were normalized during library preparation. Sequencing was performed using anSMRT cell (SMRT cell 1M, v2, Sequel polymerase v2.1, sequencing chemical reagents v2.1, using a diffuse sampling method with an exposure time of 600 min, resulting in a final synthesis time 45 min).

2.3. Data Analyses

Bioinformatics data analyses were performed using a variety of applications connected to the Pipecraft (v1.0) analysis platform [33]. Sequence quality was tested with the Mothur (v1.36.1) program [34], excluding sequences shorter than 100 bp. Sequence chimeras were excluded from the analysis using UCHIME [35]. The full-length ITS (Internal Transcribed Spacer) region was isolated from the genes encoding rRNA by ITSx (v1.0.11) [36]. The resulting sequences were grouped into taxonomic units (“Operational Taxonomic Units”) based on 98% similarity with already published taxa (BLASTn: e-value = 0.001, word size = 7, reward = 1, penalty = −1, gap open = 1, gap extend = 2) [37], using the CD-HIT (v4.6) program [38]. Groups of taxonomic units that included only one sequence were excluded from further analysis. The taxonomic affiliation of the sequences was determined in the UNITE platform [39]. The functional groups of the fungi were determined in the FungalTraits database [40].
Statistical calculations were performed in R (v.4.0.3) [41]. The Shannon diversity index and the occurrence of taxonomic units in the samples [42], calculated with the estimate_richness function in the phyloseq package [43], were used as parameters for characterizing fungal diversity. In addition, the diversity of taxonomic units of ectomycorrhizal, saprotrophic, and pathogenic fungi in the samples was calculated.
The number of taxonomic units and the Shannon diversity index were compared between stump removal and control samples using ANOVAs if the data were normally distributed, or Wilcoxon’s tests if the distribution of the data was not normally distributed.
In addition, whether certain species can be distinguished from the most common taxa as indicator species for stump removal or control plots was assessed. The significance of these species as indicator species was tested with the indicspecies package in R [44].
The Bray–Curtis distinction has also been tested in mushroom societies [45]. These models are visualized using the NMDS (Non-metric multidimensional scaling (NMDS)) ordination method, which is based on grouping companies according to the Bray–Curtis difference. This analysis was performed using the phyloseq package and, in addition to the graphs, the ellipse of the 95% confidence interval was calculated using the stat_ellipse function for visualization [43]. The effects of stump removal, forest type, and stand on fungal communities were tested by multivariate analysis of variance with permutations (PERMANOVA) using the adonis function (999 permutations) in the vegan package [46].

3. Results

3.1. Impact of Stump Removal on Diversity of Soil and Mycorrhizal Fungi

The initial data included 132,098 sequences. After the quality control phase, the number of sequences decreased to 120,981. After control of chimeras, it further decreased to 115,326. Finally, after extraction of the ITS region, the number of sequences was 111,511, ranging from 277 to 3348 bp. Seven samples were excluded from the analysis due to the small number of sequences obtained compared to the mean in the data set. The final data table consisted of 105,208 sequences divided into taxonomic units, and represented 53 out of 60 samples (27 from stump removal sample plots, and 26 from control sample plots).
The fungal community as a whole was characterized by a pronounced dominance of individual taxa. The hundred most frequently sequenced species accounted for 75% of all sequences obtained. The twenty most frequently sequenced species accounted for almost half or 49% of the sequences.
The functional group of the fungi could be determined for 71.8% of the sequences. The samples were mainly ectomycorrhizal fungi (40.3% of all sequences), saprotrophs of various substrates (litter, soil, and wood degrading fungi) (22.4% of all sequences), and plant pathogens (4.0% of all sequences).
The most commonly sequenced fungal taxa are shown in Table 1. The most frequently sequenced species were two mycorrhizal fungi; Thelephora terrestris (11.2% of all sequences) and Inocybe lacera (10.4% of all sequences) (Table 1). Other common mycorrhizal species were Trichophaea sp. (2.2%), Lactarius sp. (1.5%), and Amphinema sp. (1.4%). The most frequently sequenced species from the saprotrophic genera were Hyaloscypha sp. (1.5%), Mycena sp. (1.3%), and Solicoccozyma sp. (1.0%).
The data from our study showed that the total number of fungal taxonomic units and the Shannon diversity indices did not differ between stump removal and control samples (Figure 2 and Figure 3, respectively). The number of taxa of the functional groups of fungi (ectomycorrhizal, saprophytic, and plant pathogenic fungi) and the Shannon diversity did not differ between the groups in the stump removal samples. The analysis of the fungal community also did not show significant differences between the fungal diversity in the stump removal and control samples (Figure 4).

3.2. Impact of Forest Site Type on Diversity of Soil and Mycorrhizal Fungi

In addition to stump removal, the physio-chemical and biological processes in the soil, which are characteristic of the stand and forest type, also affect fungal communities. Our data show that the forest type and stand significantly influenced the number of taxonomic units of fungi. More fungal taxa in total, as well as separate functional groups such as saprophytic fungal taxa were found in Oxalidosa stands compared to samples from Hylocomiosa type stands (p < 0.05) (Figure 5). Moreover, a lower number of fungal taxa in general were observed in the two long-term sample plots, including the functional groups of fungi, namely saprophytic and ectomycorrhizal fungi. Shannon’s diversity index did not differ significantly between stands and forest types.
In our study, we also evaluated the association of the most common fungal taxa with stump removal or control specimens, thus determining stump removal indicator species. Lactarius tabidus was more frequently found in the stump removal sites, while saproxylic, and sometimes pathogenic fungi of the genus Armillaria sp. were more typical in the control sample plots (p < 0.05).

4. Discussion

Mycorrhizal fungi are an important group of soil microorganisms that form mycorrhizae with tree roots, thus promoting tree growth and vitality [47,48]. Our results showed that there are no significant differences in mycorrhizal and soil fungal communities between stump removal plots and clear-felled control plots seven years after stump removal. Mycorrhizal fungi were the most commonly sequenced fungal ecological group, and their diversity was similar to the clear-felled control site. However, there were some differences in species composition. One of the dominant species in this assessment was the mycorrhizal fungus Thelephora terrestris, which is consistent with the results of our previous study performed in similar sites after the first growing season following seedling planting [23]. The prevalence of this fungal species in the samples did not differ significantly between the stump removal and control sample plots. This basidiomycete is the most common species in tree nurseries worldwide [49]. However, despite its ability to adapt to nursery conditions [50], this species does not promote seedling growth and vitality after planting in forest sites [51,52]. The mycorrhizal fungus Lactarius tabidus was more frequently found in the stump removal sites, which could be related to the formation of more pronounced microrelief depressions as a result of stump extraction and, consequently, a higher humidity level, which has a positive impact on the development of this ectomycorrhizal fungus [53]. Fungi of the genus Armillaria were more common in control sample plots, which could be related to higher availability of wood, as stumps are left intact. Armillaria spp. spread through the soil using rhizomorphs, and stump removal was suggested as a control method to reduce the damage made by pathogenic Armillaria species [10]. The research results showed that stump removal has little impact on fungal diversity in soil seven years after seedling planting, however, more research is needed to evaluate the possible long-term impact of stump removal on mycorrhization of planted trees.

Author Contributions

Conceptualization, D.K., N.B. and T.G.; methodology, D.K. and K.P.; software, D.K.; formal analysis, K.P. and D.K.; writing, N.B.; supervision, T.G. and J.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by JSC “Latvia’s State Forests” project “Investigation of the factors limiting the spread of root rot” and project No. 5-5.9.1_007q_101_21_79.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article.

Acknowledgments

We are grateful to Rein Drenkhan, Leho Tedersoo and Dainis Ruņģis for the lab facilities used to prepare samples for sequencing, and Brigita Javoiša for assistance in field work.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Locations of stump removal sample plots (1—Dursupe, 2—Stende, 3—Jaunpils, 4—Tinuzi, 5—Rembate, 6—Nitaure).
Figure 1. Locations of stump removal sample plots (1—Dursupe, 2—Stende, 3—Jaunpils, 4—Tinuzi, 5—Rembate, 6—Nitaure).
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Figure 2. Effect of stump removal on richness of fungal OTUs. Middle lines, boxes, whiskers, and circles represent medians, quartiles, 90% quantiles, and all sampled trees, respectively. Different letters above whiskers indicate statistically different groups (p < 0.05). Number of stands: stump removal—27; control—26.
Figure 2. Effect of stump removal on richness of fungal OTUs. Middle lines, boxes, whiskers, and circles represent medians, quartiles, 90% quantiles, and all sampled trees, respectively. Different letters above whiskers indicate statistically different groups (p < 0.05). Number of stands: stump removal—27; control—26.
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Figure 3. Effect of stump removal on the Shannon diversity of fungal OTUs. Middle lines, boxes, whiskers, and circles represent medians, quartiles, 90% quantiles, and all sampled trees, respectively. Different letters above whiskers indicate statistically different groups (p < 0.05). Number of stands: stump removal—27; control—26.
Figure 3. Effect of stump removal on the Shannon diversity of fungal OTUs. Middle lines, boxes, whiskers, and circles represent medians, quartiles, 90% quantiles, and all sampled trees, respectively. Different letters above whiskers indicate statistically different groups (p < 0.05). Number of stands: stump removal—27; control—26.
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Figure 4. Non-metric multidimensional scaling (NMDS) ordination for fungal communities (presence/absence data of fungal OTUs) as a function of sampling site management history (stump removal (red) vs. control (blue) samples). Ellipses indicate 95% confidence intervals for each sample group.
Figure 4. Non-metric multidimensional scaling (NMDS) ordination for fungal communities (presence/absence data of fungal OTUs) as a function of sampling site management history (stump removal (red) vs. control (blue) samples). Ellipses indicate 95% confidence intervals for each sample group.
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Figure 5. Effect of forest type on richness of fungal OTUs. Middle lines, boxes, whiskers, and circles represent medians, quartiles, 90% quantiles, and all sampled trees, respectively. Different letters above whiskers indicate statistically different groups (p < 0.05). Number of stands: Hylocomiosa—36; Oxalidosa—17.
Figure 5. Effect of forest type on richness of fungal OTUs. Middle lines, boxes, whiskers, and circles represent medians, quartiles, 90% quantiles, and all sampled trees, respectively. Different letters above whiskers indicate statistically different groups (p < 0.05). Number of stands: Hylocomiosa—36; Oxalidosa—17.
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Table 1. Most common fungal taxa in the analyzed samples.
Table 1. Most common fungal taxa in the analyzed samples.
Fungal TaxonFunctional GroupSequence Incidence among All Sequences, % (n = 105,208)Incidence in All Samples, % (n = 60)
AllStump Removal Control
Thelephora terrestrisEctomycorrhizal12.07.94.298.1
Inocybe laceraEctomycorrhizal10.03.66.894.3
Fungi sp.1Unknown3.01.81.366.0
Fungi sp.2Unknown3.00.72.271.7
Camposporium sp.Saproxylic 2.01.31.196.2
Trichophaea sp.Ectomycorrhizal2.01.30.975.5
Trechisporales sp.Unknown2.00.31.454.7
Luellia reconditeSaproxylic2.00.51.032.1
Hyaloscypha bicolorSaprophytic2.00.61.092.5
Lactarius sp.Ectomycorrhizal2.01.00.526.4
Hyaloscyphaceae sp.Unknown2.00.41.175.5
Amphinema sp.Ectomycorrhizal1.00.40.956.6
Mycena galopusSaprophytic1.00.60.792.5
Meliniomyces sp.Endophytic1.00.40.777.4
Alternaria rosaePlant pathogen and saprophytic 1.00.40.858.5
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Burnevica, N.; Klavina, D.; Polmanis, K.; Jansons, J.; Gaitnieks, T. Impact of Stump Removal on Communities of Ectomycorrhizal and Other Soil Fungi in Norway Spruce Stands of Latvia. Diversity 2022, 14, 673. https://doi.org/10.3390/d14080673

AMA Style

Burnevica N, Klavina D, Polmanis K, Jansons J, Gaitnieks T. Impact of Stump Removal on Communities of Ectomycorrhizal and Other Soil Fungi in Norway Spruce Stands of Latvia. Diversity. 2022; 14(8):673. https://doi.org/10.3390/d14080673

Chicago/Turabian Style

Burnevica, Natalija, Darta Klavina, Kaspars Polmanis, Jurgis Jansons, and Talis Gaitnieks. 2022. "Impact of Stump Removal on Communities of Ectomycorrhizal and Other Soil Fungi in Norway Spruce Stands of Latvia" Diversity 14, no. 8: 673. https://doi.org/10.3390/d14080673

APA Style

Burnevica, N., Klavina, D., Polmanis, K., Jansons, J., & Gaitnieks, T. (2022). Impact of Stump Removal on Communities of Ectomycorrhizal and Other Soil Fungi in Norway Spruce Stands of Latvia. Diversity, 14(8), 673. https://doi.org/10.3390/d14080673

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