For over thirty years, intensive studies have been conducted worldwide on alien tree species (Pyšek et al. 2020). They were also carried out in Central Europe (Białobok and Chylarecki 1965; Tumiłowicz 1968, 1988; Panka 2012, 2016). They have provided information on the biology of alien species, methods of their introduction and expansion onto new areas, effects of their presence and control methods (Richardson 2011; Simberloff et al. 2013; Pyšek et al. 2020). One of the non-invasive-alien species in the forests in Poland is the western red cedar (
The currently observed climate change and the resulting dieback of native tree species (e.g. Scots pine) may lead to timber shortages (Panka 2016; Sierota et al. 2019). In times of climate change and increasing threats for native tree species in Sweden and other European countries, exotics such as
A community of soil fungi associated with the western red cedar is currently unidentified. Nevertheless, Damszel et al. (2020) carried out a research of macroscopic fungi associated with Douglas fir, white pine (
This study is aimed to identify the fungal community associated with the rhizosphere of western red cedar from the Kościan Forest District. These thuja stocks, which are unique in the study area due to the age of the thuja (Tab. 1), were probably established by foresters from the Prussian research institutes. We assumed that cosmopolitan fungi, including saprotrophs and mycorrhizal fungi, would predominate in this community.
The share of functional groups of fungi in the communities of fungi in different variants of the experiment. Natural regeneration – 1G, 2G, 5G, under old-stands canopy – 3G, 4G, 6G
Functional groups | Variants of experiments | |||||
---|---|---|---|---|---|---|
1G | 2G | 5G | 4G | 3G | 6G | |
Pathogens | 7.63 | 6.90 | 10.93 | 5.37 | 8.89 | 6.56 |
Mycorrhizal fungi | 11.34 | 19.40 | 19.33 | 14.99 | 6.39 | 24.18 |
Saprotrophs | 14.11 | 12.73 | 18.82 | 9.10 | 13.62 | 13.47 |
Others | 66.93 | 60.97 | 50.92 | 70.54 | 71.11 | 55.79 |
Share of Ascomycota of mycorrhizal fungi [%] | 9.97 | 11.20 | 8.45 | 23.23 | 14.68 | 26.61 |
Share of Basidiomycota of mycorrhizal fungi [%] | 85.77 | 86.47 | 87.94 | 71.07 | 77.51 | 71.59 |
Share of Glomeromycota of mycorrhizal fungi [%] | 4.26 | 2.33 | 3.61 | 5.69 | 7.81 | 1.80 |
A total of six soil samples for analyses were collected in January 2018 from three clusters of western red cedars, each of approximately 0.1 ha (Tab. 1). The research area is in the Kościan Forest District, the Olejnica Forest Unit (51°98”87” N; 16°23’54” E) in sub-compartment 238c (LMśw = mesic mixed deciduous forest) and one cluster in sub-compartment 217s (Lśw = mesic deciduous forest).
All soil samples were taken from the topsoil layer at a depth of 25 cm with a trowel, three from the centre of the natural regeneration (1G, 2G, 5G) and three from the centre stand under the canopy of old-growth western red cedar (3G, 4G, 6G). Each sample’s collection site was 15 m apart (Fig. 1). Each sample was packed separately.
Kościan 238/1 – stem distribution map. In the diagram, the star (No. I and II) indicates examples of sample collection sites
DNA extraction was performed using the plant genomic DNA purification kit (Thermo Scientific) following the manufacturer’s protocol. Fungi were identified to species based on the ITS1 rDNA region. Analysis was conducted using the ITS1F2 (5′ GAA CCW GCG GAR TCA 3′) and 5.8S (5′ CGC TGC GTT CTT CAT CG 3′) primers (Schmidt et al. 2013). The reaction mixture consisted of 2.5 µl DNA, 0.2 µl each primer, 10.6 µl deionised water and 12.5 µl 2X PCR MIX (A&A Biotechnology). Amplification was run in a thermocycler. The process comprised initial denaturation (94°C, 5 min), 35 cycles of denaturation (94°C, 30 s), annealing (56°C, 30 s), extension (72°C, 30 s) and final extension (72°C 7 min). Next, the product was verified in 1% agarose gel stained by Midori Green Advance DNA (Genetics). The obtained product was purified and sequenced using the sequencing by symbiosis (SBS) technology by Illumina (Genomed S.A. Warszawa). The sequences were referred to the National Center for Biotechnology Information (NCBI) database (GenBank), applying the BLAST algorithm. Fungal counts were defined as the number of operational taxonomic units (OTU). The frequency of a single taxon was determined as the OTU percentage in the total OTU number. Latin names of identified fungi were adopted following the Index Fungorum (
Results were subjected to bioinformatic analysis according to Behnke-Borowczyk et al. (2020). Obtained sequences were compared using the BLAST algorithm with the reference sequences from the NCBI database (
The statistical analysis of biodiversity (based on the analysis of taxa) was conducted using five indexes: Margalef index (Mg), Shannon diversity index (H), which is used to determine the species richness of the communities. Moreover, Shannon evenness index (E), and Berger-Parker index (d) were used as well. The dominance of a single taxon was analysed with Simpson index (D) (Magurran 1988). The number of obtained sequences in the studied sample was treated as the abundance of organisms.
The number of obtained isolates (as OTU) was 835 206, of which the number of fungal isolates was 683 095 (81.79%). A total of 8 591 taxa belonging to Kingdom Fungi were identified. The detected taxa belonged to the following phyla: Ascomycota (18.474–28.452%), Basidiomycota (19.894–29.659%), Mucoromycota (10.584–18.533%), Chytridiomycota (0.366–0.666%), Glomeromycota (0.357–0.785%) Rozellomycota (0.000–0.028%) and Oomycota (0.072–0.612%; Tab. 2). The greatest shares in the community of soil fungi were recorded for the following taxa: saprotrophic (9.10–14.11%; Tab. 2):
The presence of pathogens (5.37–10.93%; Tab. 2) was also detected, whose share in the investigated community was lower than saprotrophic and mycorrhizal fungi. Pathogens including
Frequency of taxa in the fungal community of the rhizosphere of the western red cedar, the share of which in the community exceeded 0.1%. Natural regeneration – 1G, 2G, 5G, under old stands canopy – 3G, 4G, 6G. Taxa, the share of which in the genus was dominant are given in bold. M – mycorrhizal fungus. A – antagonist forest tree pathogens. e.g.
Taxa | Trophic group | Order | Samples | |||||
---|---|---|---|---|---|---|---|---|
1G | 2G | 3G | 4G | 5G | 6G | |||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
M | Archaeorhizomycetales | 0.38 | 0.69 | 0.21 | 0.28 | 0.14 | 5.08 | |
S | Onygenales | 0.72 | 0.14 | 0.19 | 0.09 | 0.10 | 0.04 | |
A | Eurotiales | 0.98 | 1.40 | 1.98 | 0.79 | 0.50 | 1.67 | |
P | Helotiales | 0.72 | 1.17 | 2.43 | 0.90 | 0.56 | 0.01 | |
M | Hysteriales | 0.37 | 0.99 | 0.68 | 2.81 | 0.78 | 0.01 | |
P | Hypocreales | 0.75 | 1.01 | 1.38 | 0.63 | 1.37 | 0.47 | |
S | Incertae sedis | 0.07 | 0.24 | 0.52 | 0.15 | 0.09 | 0.00 | |
S | Helotiales | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.56 | |
A | Eurotiales | 0.78 | 1.37 | 0.40 | 0.89 | 0.41 | 0.00 | |
A | Eurotiales | 0.94 | 0.57 | 1.02 | 0.34 | 0.60 | 0.35 | |
A | Eurotiales | 0.09 | 0.26 | 0.69 | 0.06 | 0.11 | 0.01 | |
A | Eurotiales | 0.52 | 0.55 | 0.45 | 0.43 | 0.58 | 0.08 | |
S | Pleosporales | 0.58 | 0.79 | 0.70 | 0.70 | 0.79 | 0.50 | |
P | heliotiales | 0.25 | 0.40 | 0.60 | 0.45 | 0.46 | 0.54 | |
S | Mytilinidiales | 0.02 | 0.09 | 0.07 | 0.24 | 0.66 | 0.00 | |
S | Incertae sedis | 0.57 | 0.37 | 0.39 | 0.49 | 0.30 | 0.47 | |
S | Incertae sedis | 0.71 | 0.78 | 1.94 | 0.24 | 0.35 | 0.10 | |
A | Sordariales | 0.07 | 0.16 | 0.26 | 0.19 | 0.60 | 0.73 | |
Frequency of Ascomycota | 20.74 | 23.69 | 24.56 | 18.47 | 20.07 | 28.45 | ||
P | Pucciniales | 0.18 | 0.25 | 0.61 | 0.11 | 0.11 | 0.05 | |
S | Polyporales | 0.05 | 0.14 | 0.11 | 0.29 | 1.04 | 0.00 | |
U | Tremellales | 0.09 | 0.21 | 0.06 | 0.16 | 0.09 | 0.58 | |
S | Agaricales | 0.07 | 0.26 | 0.70 | 0.07 | 0.09 | 0.00 | |
P/S | Polyporales | 0.37 | 0.38 | 0.58 | 0.31 | 0.35 | 0.08 | |
U | Geminibasidiales | 0.17 | 0.17 | 0.12 | 0.17 | 0.47 | 0.94 | |
S | Auriculariales | 0.10 | 0.25 | 0.19 | 0.79 | 0.20 | 0.00 | |
M | Cantharellales | 3.32 | 6.60 | 1.84 | 1.74 | 4.44 | 0.13 | |
M | Cantharellales | 0.21 | 0.52 | 0.41 | 0.20 | 0.56 | 0.00 | |
A | Cantharellales | 1.30 | 0.28 | 0.09 | 0.29 | 0.17 | 0.00 | |
P | Incertae sedis | 0.03 | 0.07 | 0.07 | 0.18 | 0.05 | 1.45 | |
P | Pucciniales | 0.28 | 0.69 | 1.33 | 0.35 | 0.85 | 1.35 | |
S | Agaricales | 0.05 | 0.18 | 0.16 | 0.29 | 0.94 | 0.40 | |
S | Agaricales | 0.37 | 1.30 | 3.42 | 0.30 | 0.45 | 0.45 | |
M | Russulales | 0.01 | 0.02 | 0.01 | 0.07 | 0.01 | 11.90 | |
M | Russulales | 0.47 | 1.40 | 0.98 | 4.36 | 1.03 | 0.00 | |
M | Russulales | 0.15 | 0.41 | 0.31 | 1.40 | 0.33 | 0.00 | |
M | Russulales | 1.85 | 4.25 | 0.69 | 0.18 | 0.56 | 1.32 | |
M | Russulales | 0.01 | 0.00 | 0.01 | 0.17 | 0.73 | 0.00 | |
Y | Tremellales | 1.52 | 1.38 | 1.37 | 1.23 | 2.32 | 1.11 | |
A | Filobasidiales | 0.20 | 0.59 | 1.74 | 0.19 | 0.33 | 0.12 | |
A | Filobasidiales | 1.78 | 3.20 | 7.67 | 1.25 | 1.77 | 0.73 | |
S | Trechisporales | 0.67 | 0.12 | 0.06 | 0.14 | 0.09 | 0.00 | |
M | Atheliales | 0.01 | 0.00 | 0.00 | 0.17 | 0.95 | 0.00 | |
Frequency of Basidiomycota | 19.89 | 29.66 | 29.07 | 25.21 | 25.14 | 24.89 | ||
Frequency of Chytridiomycota | 0.46 | 0.40 | 0.67 | 0.37 | 0.50 | 0.46 | ||
Frequency of Glomeromycota | 0.37 | 0.38 | 0.50 | 0.78 | 0.43 | 0.36 | ||
Frequency of Rozellomycota | 0.02 | 0.03 | 0.00 | 0.01 | 0.02 | 0.00 | ||
S | Basidiobolales | 1.82 | 0.40 | 0.18 | 0.45 | 1.01 | 0.01 | |
A | Mortierellales | 0.54 | 0.16 | 0.07 | 0.36 | 0.23 | 0.00 | |
A | Mortierellales | 0.54 | 0.18 | 0.10 | 0.28 | 0.14 | 0.02 | |
A | Mortierellales | 2.61 | 1.77 | 1.50 | 1.52 | 2.18 | 0.54 | |
A | Mortierellales | 1.21 | 0.20 | 0.11 | 0.06 | 0.13 | 0.01 | |
A | Mortierellales | 2.05 | 0.29 | 0.11 | 0.08 | 0.19 | 0.03 | |
A | Mortierellales | 1.13 | 2.24 | 1.11 | 2.11 | 5.50 | 1.56 | |
A | Mortierellales | 0.85 | 0.21 | 0.18 | 0.06 | 0.17 | 0.00 | |
A | Mortierellales | 3.80 | 3.66 | 4.45 | 4.20 | 3.15 | 4.39 | |
P | Basidiobolales | 0.75 | 0.19 | 0.12 | 0.15 | 0.28 | 0.13 | |
S | Mucorales | 0.19 | 0.27 | 0.54 | 0.14 | 0.22 | 0.11 | |
S | Mucorales | 0.16 | 0.24 | 0.19 | 0.14 | 0.35 | 0.68 | |
S | Mucorales | 0.10 | 0.17 | 0.25 | 0.09 | 0.18 | 0.83 | |
Frequency of Zygomycota | 18.53 | 12.26 | 11.03 | 11.88 | 17.12 | 10.58 | ||
Frequency of Oomycota | 0.61 | 0.35 | 0.45 | 0.34 | 0.35 | 0.07 | ||
Uncultured Fungi | 16.64 | 18.60 | 17.31 | 29.41 | 15.39 | 17.45 | ||
No sequence in the UNITE database | 15.33 | 9.97 | 10.77 | 8.96 | 15.64 | 11.61 |
Similar to the case of Shannon’s diversity index (H), higher values of the indices of Shannon’s evenness index E were obtained for the fungal community of natural regeneration. In turn, Simpson’s index expresses the probability of finding two specimens belonging to the same species in a random variant. The highest probability was recorded for the fungal community in soil in simple 6G (under old-stands canopy), while it was lowest in simple 1G (natural regeneration). Lower values of this index were obtained for the fungal community of natural regeneration compared to that of soil under old-stands canopy. The highest values of the dominance index were obtained for the fungal community in soil in 3G (soil under old-stands canopy), while they were lowest, too, in soil under old-stands canopy in simple 6G (Tab. 3).
Biodiversity of fungal communities determined based on the biodiversity indices in individual variants of the experiment. The lowest values are marked with light grey colour, and the highest with dark grey colour
Index | Samples | |||||
---|---|---|---|---|---|---|
natural regeneration | under old stands canopy | |||||
1G | 2G | 5G | 3G | 4G | 6G | |
D-Mg | 221.862 | 227.483 | 259.862 | 199.153 | 215.932 | 77.592 |
Shannon’s diversity -H | 4.723 | 4.445 | 4.711 | 4.364 | 4.550 | 0.667 |
Shannon’s evenness -E | 0.603 | 0.565 | 0.589 | 0.566 | 0.584 | 0.096 |
Simpson | 0.019 | 0.029 | 0.023 | 0.031 | 0.027 | 0.063 |
Berger-Parker Dominance | 0.063 | 0.099 | 0.086 | 0.116 | 0.076 | 0.021 |
Thuja plicata in the examined stands was over a hundred years old. The description of the tested surfaces is included in Table 4.
Western red cedar experimental plots – yield characteristics of the stands
Experimental plots | Area [ha] | Site | Age [years] | Site height [m] | N [trees/ha] | H100 [m] | D100 [cm] | HG [m] | DG [cm] | G [m2/ha] | VD [m3/ha] |
---|---|---|---|---|---|---|---|---|---|---|---|
238c/1 | 0.10 | LMsw | 110 | 24.4 | 310 | 27.3 | 50.9 | 26.5 | 42.1 | 43.24 | 414.9 |
238c/2 | 0.10 | LMsw | 110 | 25.0 | 440 | 27.8 | 55.4 | 27.1 | 44.3 | 67.69 | 654.9 |
217s/4 | 0.08 | Lsw | 106 | 26.4 | 612 | 31.6 | 55.7 | 29.0 | 39.0 | 73.32 | 778.2 |
Note: Site height – according to the growth model for Norway spruce (Wenk et al. 1984), M-System; N – number of stems per ha; H100 – top height; D100 – top diameter; HG – mean height; DG – mean diameter; G – basal area per ha; VD – volume of the wood of an over-bark diameter ≥7 cm (standing crop)
Few studies of
Moreover, analyses identified cosmopolitan fungi from the genera
Identification of the fungal community to the level of taxa needs to be the first step in inventory works, which results at the successive stage of the study will provide information on their role in a given community (Frąc et al. 2018). Inventory works do not yield a comprehensive answer to whether the identified microorganisms are viable and active (Blagodatskaya and Kuzyakov 2013), and they also fail to describe their functions (Prosser 2015).
Many fungal species are distinguished by phenotypic plasticity, and depending on the conditions, they adopt various life strategies ranging from saprotrophs to endophytes, while both these functions in the community do not have to be mutually exclusive (Vasiliauskas et al. 2007; Jaber et al. 2014). Some taxa were identified, whose function to date has not been fully identified, for example
Although taxa belonging to Glomeromycota did not have any significant share in a given community (accounted for less than 1%), they still need to be focused on. Fungi from that phylum are able to form arbuscular mycorrhizae (AM), entering into symbiotic associations with 70–90% terrestrial plant species (Parniske et al. 2008). Among them,
Weber et al. (2005) showed that in North Vancouver, Canada, where the western red cedar grows, the withdrawal might be a consequence of the soil’s low inoculum content of arbuscular fungi. These fungi also affect the growth rate and growth of these trees. Their share depends on the amount of insolation (Weber et al. 2005). Therefore, for better host development, it should be cared for. In fact, a more significant share of AM was recorded in the case of two samples collected from an old forest, where more light reached the soil than in the place of vital natural regeneration. In the northern hemisphere, arbuscular mycorrhizal plants dominate in relatively mild climates and low phosphorus soils, whereas ectomycorrhizal plants dominate in colder climates and soils of high organic matter and low nitrogen (Allen et al. 1995). The western red cedar forms obligatory relationships with AM (Curran and Dunsworth 1988). It has responded more positively to AM inoculation than other closely related tree species (Kough et al. 1985). Therefore, it is likely that the settlement of the western red cedar is severely limited, where there is no compatible inoculum AM (Weber et al. 2005). Despite the dominance of ectomycorrhizal fungi over arbuscular ones, quite impressive natural regeneration was observed in