Next Article in Journal
Dental Prosthesis in Esophagus: A Right Cervicotomic Approach
Next Article in Special Issue
Uncovering the Fungal Diversity and Biodeterioration Phenomenon on Archaeological Carvings of the Badami Cave Temples: A Microcosm Study
Previous Article in Journal
Enabling Clonal Analyses of Yeast in Outer Space by Encapsulation and Desiccation in Hollow Microparticles
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Life
Volume 12
Issue 8
10.3390/life12081169
life-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Soil Mycobiome Diversity under Different Tillage Practices in the South of West Siberia

by
Natalia Naumova
1,*,
Pavel Barsukov
1,
Olga Baturina
2,
Olga Rusalimova
1 and
Marsel Kabilov
2
1
Institute of Soil Science and Agrochemistry, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
2
Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
*
Author to whom correspondence should be addressed.
Life 2022, 12(8), 1169; https://doi.org/10.3390/life12081169
Submission received: 4 July 2022 / Revised: 26 July 2022 / Accepted: 26 July 2022 / Published: 31 July 2022
(This article belongs to the Collection Biodiversity and Ecology of Fungi in Terrestrial and Marine Ecosystems)
Browse Figures
Review Reports Versions Notes

Abstract

:
Managing soil biodiversity by reduced or no tillage is an increasingly popular approach. Soil mycobiome in Siberian agroecosystems has been scarcely studied; little is known about its changes due to tillage. We studied mycobiome in Chernozem under natural steppe vegetation and cropped for wheat by conventional or no tillage in a long-term field trial in West Siberia, Russia, by using ITS2 rDNA gene marker (Illumina MiSeq sequencing). Half of the identified OTUs were Ascomycota with 82% of the total number of sequence reads and showing, like other phyla (Basidiomycota, Zygomycota, Mortierellomycota, Chytridiomycota, Glomeromycota), field-related differential abundance. Several dominant genera (Mortierella, Chaetomium, Clonostachys, Gibberella, Fusarium, and Hypocrea) had increased abundance in both cropped soils as compared with the undisturbed one and therefore can be safely assumed to be associated with wheat residues. Fungal OTUs’ richness in cropped soils was less than in the undisturbed one; however, no tillage shifted soil mycobiome composition closer to the latter, albeit, it was still similar to the ploughed soil, despite different organic matter and wheat residue content. The study provided the first inventory of soil mycobiome under different tillage treatments in the south of West Siberia, where wheat production is an important section of the regional economy.

1. Introduction

Nowadays soil microbiome census conducted using state-of-the-art metagenomic techniques is an indispensable initial stage for further well-integrated and more focused ecological research and assessing soil quality [1]. Soil microbiota refers to a dynamic assemblage of microorganisms, i.e., organisms of ≤5000 μm3 in body volume [2], including viruses, archaea, bacteria, and eukaryotes. In terms of microbial biomass, bacteria and fungi are the main contributors, with microscopic fungi accounting for three-quarters of microbial carbon in soil [3], and harbouring vast diversity [4]. Soil fungal communities are especially important for sustaining agricultural ecosystems as they decompose plant material, cycle nutrients, etc.
Fungi in soil are known to vary at least four orders of magnitude in size, from single cells to gigantic single mycelial individuals [5]. The biodiversity concepts and indices were developed for a number of specimens, i.e., individual organisms of a certain species in a given location. Obviously, an individual organism of a soil fungus, unless it is a unicellular one, is extremely difficult, if at all possible, to determine and count. One cannot, therefore, overestimate the metagenomic approach to assessing soil mycobiome taxonomic structure and biodiversity by using molecular techniques, i.e., classifying diversity into taxa defined by nucleotide sequence similarity and then by the relative abundance of taxa-specific sequence reads in the total number of reads.
As the importance of soil biodiversity for ecosystem functioning and agricultural sustainability has been long recognised [6,7], many agricultural techniques, currently employed to sustain agricultural soils, include managing soil biodiversity by reduced, minimal, or no tillage [8]. Moreover, lower carbon losses from no till soil can also mitigate the risks associated with global warming [9]. Conversion of the undisturbed area to cropped land drastically alters the aboveground community, as well as soil physiochemical and biological environments. Consequently, such conversion also modifies the soil environment for microbial communities, shifting their biodiversity. Even virus abundance and community structure in the soil can be influenced by tillage practices and land use [10]. However, soil mycobiome in the agricultural ecosystems of Siberia so far has been scarcely studied, and nothing is known about its changes in relation to vegetation, tillage, and soil properties. The aim of the study was to reveal mycobiome composition and structure in Chernozem under natural vegetation or cropped for wheat by conventional or no tillage in the long-term field experiment in the Novosibirsk region, Russia, by using ITS region DNA diversity.

2. Materials and Methods

2.1. Experimental Site and Conditions

The field trial was conducted in the Novosibirsk region, Russia (54°4′6″ N, 79°36′3″ E) in the forest-steppe zone with a sharply continental climate. As averaged over 1991–2020 [11], the mean monthly temperature in the area of the experimental site location in October is 3.5 °C (with the average minimal and maximal temperatures of 0 and 8 °C, respectively); monthly precipitation of 31 mm with 7 days of precipitation exceeding 1 mm.
The soil is a loamy arable one classified as Luvic Endocalcic Chernozem (Aric, Siltic), while the soil of remains of undisturbed (unaffected by human activity) areas with natural vegetation is classified as Luvic Endocalcic Chernozem (Siltic), according to the World Reference Base for Soil Resources [12]; Chernozem is the most common and agriculturally valuable soil type in the region.

2.2. Experimental Setup

The field trial was started in 2009 on an area of 40 ha. Prior to the establishment of the trial, the field was cropped under conventional tillage for >60 years. This tillage included mouldboard ploughing in the fall, and disking in the spring. Twelve years prior to the study in 2009, the field was divided into two plots. Since then, one plot has been cultivated according to the classic notill technology; whereas the top layer (down to 15 cm) of the other plot has been subjected to annual disking, which is considered conventional tillage. Both plots with conventional (CT) and no (NT) tillage were rotationally cropped (three years for spring wheat followed by a year of spring rapeseed) and simultaneously received the same rates of herbicides and fertilizers (100 kg N, 26 kg P2O5, and 18 kg S per hectare).
In the year when soil sampling for the study was performed, spring wheat of Novosibirskaya-31 cultivar was grown. The wheat was harvested at the beginning of September 2021. The grain yield was 4.8 t ha−1 on the no-till field and 4.1 t ha−1 on the conventionally ploughed field. An undisturbed true bunchgrass steppe ecosystem (Un), adjacent to the trial fields, was also studied as a reference to the zonal soil microbiome, its vegetation being dominated by Stipa capillata and Festuca valesiaca, as well as some Poa spp. and Puccinella sp.

2.3. Soil Sampling and Chemical Analyses

Soil was sampled in October 2021 from the 0–5 and 5–15 cm layers in five individual replicates from each layer. In total 30 soil samples were collected and analysed.
Soil total carbon (STC) and nitrogen (STN) contents were estimated by elemental analyzer (CHNS/O 2400 Serie II, Perkin Elmer, USA); soil organic matter content was estimated by the amount of soil mass loss on ignition at 550 °C for 12 h; the content of soil labile nutrients (NO3−, exchangeable K, readily available and available P2O5) and pH (H2O) were measured by standard techniques [13]. Briefly, nitrate content was determined potentiometrically in 0.1% AlKSO4 solution (soil:solution ratio 1:5 w/v); readily available p and available p were extracted by 0.015 M K2SO4 solution (1:5 w/v) and 0.1 M (NH4)2C2H4O(COO)2 solution (pH = 5.7; 1:20 w/v), respectively, and determined calorimetrically. Exchangeable K was extracted by 1 M CH3COONH4 solution (pH = 7.0; 1:10 w/v) and estimated by atomic absorption spectrometer with flame atomization (Kvant-2A, Russia). Soil pH was measured by equilibrating 10 g of field-moist soil with 25 mL of deionised water. Bulk soil density was calculated as mass/volume ratio after drying a soil core of the known volume at 105 °C for 24 h. All analyses were performed in triplicates, and the data were expressed on the oven (105 °C) dry basis. Soil properties are presented in Table 1.

2.4. DNA Extraction, Amplification and Sequencing

Total DNA was extracted from 0.40 g of soil using the DNeasy PowerSoil Kit (Qiagen, Germany) as per manufacturer’s instructions. The bead-beating was performed using TissueLyser II (Qiagen, Germany) for 10 min at 30 Hz. No further purification of the DNA was needed. The quality of the DNA was assessed using agarose gel electrophoresis.
The ITS2 gene marker was amplified with the primer pairs ITS3_KYO2/ITS4, combined with Illumina adapter sequences [14]. PCR amplification was performed as described earlier [15]. A total of 200 ng PCR product from each sample was pooled together and purified through MinElute Gel Extraction Kit (Qiagen, Hilden, Germany). The obtained amplicon libraries were sequenced with 2 × 300 bp paired-ends reagents on MiSeq (Illumina, CA, USA) in SB RAS Genomics Core Facility (ICBFM SB RAS, Novosibirsk, Russia). The read data reported in this study were submitted to the NCBI Short Read Archive under bioproject accession number PRJNA845814.

2.5. Bioinformatic Analysis

Raw sequences were analyzed with UPARSE pipeline [16] using Usearch v.11.0.667. The UPARSE pipeline included merging of paired reads; read quality filtering (-fastq_maxee_rate 0.005); length trimming (remove less 100 nt); merging of identical reads (dereplication); discarding singleton reads; removing chimeras and operational taxonomic unit (OTU) clustering using the UPARSE-OTU algorithm. The OTU sequences were assigned a taxonomy using the SINTAX [14] and ITS UNITE USEARCH/UTAX v.8.3 [17] as a reference. Taxonomic structure of thus obtained sequences was estimated by the ratio of the number of taxon-specific sequence reads (with non-fungal removed from the data matrix) to the total number of sequence reads, i.e., by the relative abundance of taxa, expressed as percentage.
The OTUs datasets were analyzed by individual rarefaction with the help of the PAST software [18]: the number of fungal OTUs detected, reaching a plateau with increasing number of sequences, showed that the sampling effort was close to saturation for all samples, thus being enough to compare biodiversity [19].

2.6. Statistical Analyses

Statistical analyses (descriptive statistics, ANOVA, principal components and principal coordinates analyses) were performed by using Statistica v.13.3 a (TIBCO Software Inc., Palo Alto, CA, USA) and PAST [18] software packages. OTUs-based α-diversity indices and principal coordinates analysis were calculated using PAST. Factor effects and mean differences in post-hoc comparisons by Fisher’s LSD test were considered statistically significant at the p ≤ 0.05 level.

3. Results

3.1. Mycobiome Taxonomic Diversity

After quality filtering, chimera, and other domains’ sequences removal, a total of 3185 different fungal OTUs were identified at 97% sequence identity level. More than half of the OTUs (1626, or 51%) were Ascomycota. Basidiomycota featured 568 OTUs (18%). Chytridiomycota was represented by 200 OTUs (6%), Glomeromycota had 108 OTUs (ca. 3%), and the other 11 of the identified phyla accounted for much fewer OTUs each. Notably, rather many OTUs (525 OTUs, or 17%) remained unclassified below the Fungi level. Overall, the clustered OTUs belonged to 618 genera, 340 families, 151 orders, 66 classes, and 16 phyla.
In terms of the relative abundance of the sequence reads’ numbers, the most abundant phylum was Ascomycota, accounting for 82% (mean) of all the studied soil samples (Table 2) and differing in its relative abundance between the undisturbed and notill fields in the 0–5 m layer. Other phyla, namely moderately dominating Basidiomycota and Zygomycota, also showed field-related differential abundance. The number of OTUs, unclassified below the domain level, was rather low.
Sordariomycetes were the ultimate dominant among the classes, being trice as abundant in the cropped fields as compared with the field under undisturbed natural vegetation (Table 2). The representatives of the Dothideomycetes class were markedly more abundant and dominating in the 0–5 cm layer of the undisturbed soil. Except for Leotiomycetes, other dominant fungal classes revealed tillage-related differential abundance.
At the genus level, there were many dominant genera with statistically significant differences between the fields; for most genera, their relative abundance was increased in both cropped fields as compared with the undisturbed one. In addition to the 18 dominant genera, listed in Table 3, other 137 genus-level sequence read clusters were found to have the differential abundance in soil mycobiome of the studied fields.
Just seven OTUs dominated the mycobiome of the undisturbed soil, together accounting for 20% of the total number of sequence reads; the cropped soils had 19 dominant OTUs in the ploughed field and 21 OTUs in the no-till field, accounting for 36–37% of the sequence reads. Only two dominant OTUs, namely Pseudogymnoascus roseus and Trichocladium asperum, were common in the soils of all the fields with no statistically significant difference in abundance (Figure 1). Two cropped fields, as expected, had between them seven common dominants, namely two strains of Gibberella sp., Chaetomium sp., Clonostachys rosea, Mortierella elongata, Cordyceps memorabilis and Fusarium merismoides.

3.2. Fungal α- and β-Biodiversity

Observed and potential (as indicated by Chao-1) species richness in the 0–5 cm layer in the NT soil was 18% higher than in the ploughed soil, both soils harbouring much less fungal species as compared with the same layer of the undisturbed soil (Table 4). An inversed pattern was observed for the mycobiome of the 5–15 cm layer. Other diversity indices, presented in Table 4, in the ploughed soil showed no depth-related difference, whereas in the undisturbed and no-till soils the difference between the layers was much more pronounced.
As for the β-biodiversity, the cropped fields were closely grouped and similarly distanced from the undisturbed soil under natural vegetation (Figure 2).

3.3. Fungal Taxa Relationship with Soil Properties

The structure of the dominant fungal phyla abundance (Figure 3a) shows their specific preferences for some basic soil properties, with one phylum, i.e., dominating Ascomycota, correlating positively with soil total carbon and nitrogen. Just one of the dominant OTUs displayed some positive correlation with soil organic matter, being mostly associated with available phosphorus and potassium (Figure 3b). Chaetomium sp. followed soil electric conductivity and nitrates, whereas Trochocladium asperum responded to pH. Based on the principal components, extracted from the matrix with fungal OTUs abundance, the location of the samples (Figure 3c) shows a clear separation of the undisturbed and cropped soils (along the principal component 1) and of the layers (mostly along the principal component 2), following the pattern of the sample separation based on the Bray-Curtis distance in (Figure 2).

4. Discussion

Our study provided the first inventory of soil mycobiome under different tillage treatments in the south of West Siberia, where wheat production is an important section of the regional economy. The obtained results showed unequivocally that undisturbed soil under natural vegetation and wheat cropped soils differed from each other in their mycobiome composition and structure, with cropped soils being close to each other despite different tillage regimes.

4.1. Soil Mycobiome: General Outline

The total number of fungal OTUs determined in our study (slightly more than three thousand) was very close to the number detected in at least one other study [20], but it is noteworthy that the reported numbers of identified fungal OTUs vary widely: from several hundred [21] to 37,449 [22], p. 5. Ascomycota and Basidiomycota were also ultimately prevailing with 82%–94% of the total abundance [20]; a similar phyla percentage was reported by Sharma-Poudyal et al., 2017 [21]. However, the latter study, also with wheat, found a significantly greater proportion of Basidiomycota in the notill fields versus conventionally tilled ones, whereas in our study Basidiomycota in the notill field was two times lower (Table 2). It is noteworthy, though, that, like [21], researchers sometimes fail to report the month of soil sampling, which in the temperate regions can be the main factor shaping the structure of decomposer fungal communities [23]. Therefore, the discrepancy may be due to the differences related to sampling time, i.e., seasonal dynamics.

4.2. Fungal OTUs, Common for the Undisturbed and Cropped Fields

Our finding that Pseudogymnoascus genus (Pseudeurotiaceae/Dothideomycetes/Ascomycota) was among the dominants, and its Pseudogymnoascus roseus was one of the two dominant OTUs common for the mycobiomes of all three fields, is very interesting, as not many species of the genus have been isolated from different environments in the Northern Hemisphere. The genus can be found in different cold environments, being isolated from soil, roots, and wood samples; and Pseudogymnoascus roseus, known as the most widespread decomposer fungus in maritime Antarctic soils, was recently shown to be reduced by 1–2 orders of magnitude when soils were warmed to >20 °C during summer [24]. Therefore, it is likely that p. roseus notable presence in the studied fields might have resulted from the sampling time, i.e., the end of the growing season with negative nighttime temperatures and plenty of dead plant material. This is indirectly corroborated by the fact that in the rather genetically close soil type (Phaeozem) sampled in July in the same region under the undisturbed birch forest with understory groundcover vegetation rather similar to the undisturbed field in this study, there were practically no Pseudogymnoascus [25].
Another mycobiome dominant, common in all three fields, Trichocladium asperum (Chaetomiaceae/Sordariales/Sordariomycetes/Ascomycota) was shown as dominating the fungal community in the late phase during the decomposition of grain crop residues [26]. In our study the marked presence of the species in soil mycobiome late in the season most likely can have resulted from a relatively longtime span (1.5 months) of dead plant material decomposition, preceding soil sampling.

4.3. Fungal Genera and OTUs Increased in the Wheat-Cropped Soils as Compared with the Undisturbed Soil

Our study found several dominant fungal genus-level clusters that differed in their relative abundance in the cropped fields from those in the undisturbed field in both soil layers: namely Mortierella, Chaetomium, Clonostachys, Gibberella, Fusarium and Hypocrea, and due to this may be safely assumed to be associated with wheat residues.
Let us briefly describe these genera. The major genus dominant in our study, namely Mortierella (Mortierellaceae/Mortierellales/Mucoromycotina_incertae_sedis/Zygomycota) fungi, is widespread in the bulk soil, rhizosphere, and plant tissues; its characteristic features like the ability to survive under very unfavorable environmental conditions and the utilization of carbon sources like cellulose, hemicellulose, chitin make them very valuable decomposers in agricultural soils [27]. Therefore, their increased presence in the wheat-cropped fields at the end of autumn after the harvest was most likely associated with plenty of dead wheat phytomass in the soil.
The second-ranked dominant genus, with a relative abundance of an order of magnitude higher than that in the undisturbed soil, namely Chaetomium of Chaetomiaceae/Sordariales/Sordariomycetes/Ascomycota, is a saprotrophic fungus, normally found in soil and organic composts [28] as it degrades cellulose and other organic materials by producing lytic enzymes [29]. As the genus representatives were shown to be the main hemicellulose degraders at the cooling stage of crop residue composting [30], its increased presence, like Mortierella’s, in the wheat-cropped fields at the end of autumn long after the harvest was most likely determined by the presence dead phytomass in soil.
Our finding that the representatives of the Clonostachys genus, namely Cl. rosea and Cl. phyllophila, were also increased in both cropped fields while being almost absent in the undisturbed one, was unexpected as the fungi are known for their strong control against numerous fungal plant pathogens, nematodes and insects [31,32], being globally widespread saprotrophs with the highest prevalence in soil. However, their increased abundance in the cropped fields might indirectly suggest the presence of wheat pathogens, which were absent under the natural steppe vegetation.
Gibberella (of Nectriaceae/Hypocreales/Sordariomycetes/Ascomycota) representatives (anamorph Fusarium) are distributed worldwide in soil, aquatic and semiaquatic environments, stored grain, and natural products; the fungi are regarded as mostly pathogenic, that often can be recovered for at least two years from wheat straw [33] and wheat-cropped soil [34]. As the latter in our study contained plenty of wheat residues after harvest, our finding that the genera predominated in both cropped fields, being scarce in the soil under natural vegetation, complies with such a role.
Hypocrea fungi (anamorph Trichoderma) of Hypocreaceae/Hypocreales/Sordariomycetes/Ascomycota are found in many soil ecosystems; they also participate in straw residue decomposition in arable soils [35], can reduce the severity of plant diseases by inhibiting plant pathogens in the soil and stimulate plant growth and tolerance to abiotic stress by interacting directly with roots [36]. Therefore, the genus increased abundance in both cropped fields in our study was most likely to be (a) straw-related, and (b) apparently beneficial for wheat residue decomposition.

4.4. Fungal Genera and OTUs Differentially Increased in the Undisturbed Soil

The finding that Devriesia (of Ascomycota) and Knufia (of Pezizomycotina) genera were notable dominants in the upper layer of the undisturbed soil, being negligible in its lower layer and in both layers of the cropped soil, implies (a) that the fungi can get into the soil with plant litter and hence are found only in the topsoil; (b) the genera involvement with roots of certain plant species which do not penetrate deeply into the lower soil layers, and (c) the absence of such plants in the cropped fields. Taxonomic study of Devriesia began recently [37], and since then the number of recorded species has reached 29. In our study the Devriesia genus was represented by several OTUs, all of them being attributed to Devriesia pseudoamericana; it was first found on the surface of some fruits [38] as a part of the sooty blotch complex of apples. Therefore it can be as well an epiphyte of some aboriginal steppe plants, entering the soil late in the growing season with its litter. The same might be true for Knufia, as it was found as an epiphyte on tree bark or dead twigs [39,40]. With Rhinocladiella (of Ascomycota) it is most likely another story, as this dominant genus was found to have notably increased abundance in the lower layer as compared with the upper 0–5 cm: as a representative of a genus was reported as a root endophyte [41], in our study it can be an endophyte of a plant species with deeper penetrating roots, which litter might have brought the fungus into the soil of the lower layers.
The mycobiome in the undisturbed soil under natural steppe vegetation was discriminated from its cropped counterparts by the increased abundance of such minor (with relative abundance from 0.01 to 1.0%) genera as Calycina, Capnodium, Chalara, Cladophialophora, Eupenicillium, Lachnum, Leohumicola, Ophiocordyceps, Pyrenochaeta, Stagonospora (all belonging to the Ascomycota phylum), Glomus (Glomeromycota), Mastigobasidium and Trechispora (both belonging to Basidiomycota), and several other genus-level clusters, not explicitly classified to this taxonomic level as many ITS-fragment copies were classified only to a phylum level (Ascomycota). It is difficult to interpret the ecological roles of these genera in the undisturbed soil, but we tend to believe their presence to be determined by plant assemblage diversity, and hence higher phytomass and root exudate chemical diversity.

4.5. The Fungal Genera with Differential Abundance between the Cropped Fields

It is worth emphasizing that soil sampling for this study was performed late in October, i.e., 1.5 months after wheat harvesting, in order to a) minimize the effect of plant growth on microbial communities and b) to allow a relatively long period of plant residue decomposition, with the aim to observe the tillage treatment effect.
The CT mycobiome, as compared with the NT one, had an increased abundance of Podospora, Chaetomium, Lecythophora, Preussia genera, and a decreased abundance of Clonostachys, Exophiala, Gibberella, Herpotrichia, Lophiostoma, Neonectria, Rhizopus and Talaromyces in the 0–5 cm layer.
Podospora fungi are widely spread in the environment and possess a diverse enzymic repertoire, including ligninolytic activity [42]. Chaetomium is described above as a cellulose and organic matter degrader [27,28]. Lecythophora, widely distributed in soil, wood, vegetative matter, and polluted water saprotrophic lignocellulose-inhabiting sordariomycete (Coniochaetaceae/Coniochaetales/Sordariomycetes/Ascomycota) and known as an active participant at the early phase of straw residue decomposition [34], in our study was apparently involved in the same process in the cropped fields. Preussia genus, also found to be differentially abundant in both cropped fields as compared with the undisturbed one, is known to inhabit diverse soil ecosystems, often arid [43] or extremely arid ones [44]. The studied fields, located in the south of the forest-steppe zone, are within the rather dry and cold area and thus Preussia presence agrees with the existing knowledge about the fungus.
Clonostachys genus represents globally widespread saprotrophs with the highest prevalence in soil [30,31]; as for Exophiala, these fungi can live saprotrophically in multiple habitats, such as bulk soil, biological crusts, rock surfaces, air, natural water masses, and rhizosphere [45,46], and recently were reported to increase its relative abundance in soil due to the wheat straw addition [47]. Herpotrichia have been well studied as plant (pine) pathogens [48], and the genus increased abundance under NT necessitates deeper investigation. The representatives of the Lophiostoma genus, besides being spread in marine environments, are also found in epi- and/or endophytic fungal assemblages [49] and on dead stems and twigs [50]. Among Neonectria there are tree pathogens [51], but they cause European or apple canker by their cellulose-degrading ability, and therefore their higher abundance in the NT field is not surprising. As for Rhizopus, the genus was represented by just one OTU in this study, Rhizopus oryzae. It is often isolated from agricultural soils [52] and can ferment various plant materials, including grain crops’ phytomass. Thus its main contribution to the notill soil mycobiome could be due to this ability. As for the Talaromyces genus, i.e., another dominant fungal genus with differentially increased abundance in the notill soil, it occurs in various environments, e.g., soil, air, living or rotten plants, and indoors, some of them causing mycoses [53,54]. It is a very species-rich genus, with new species being regularly discovered [55]; despite its diverse physiology and environmental preferences, it is safe to assume that in our soils its representatives (T. rugulosus, T. albobiverticillius, T. thermophilus, T. luteus, T. ohiensis, and some unclassified Talaromyces) were mostly involved also in straw residue decomposition [56].
Our finding that the 5–15 cm cropped soil mycobiome showed much fewer tillage-related differential abundance, i.e., the increased relative abundance of only two genera (Exophiala and Neonectria) in the notillage soil, apparently suggests the closer association of the genera with wheat root litter.

4.6. The Mycobiome α- and β-Biodiversity

The Shannon α-biodiversity index (calculated on the fungal OTUs basis, with a mean of 4.4) reported here is very close to the ones obtained in some other studies [57], where the reduced tillage displayed no effect on this index. Recently it was reported that in the globally longest experiment, the undisturbed grassland soil, as compared with the notill one, was associated with the higher Shannon diversity of fungal phylotypes [58]; whereas in our study this index, albeit slightly higher, did not differ significantly from the no-till soil due to the considerable variation between soil replicates, which was also observed by other researchers [57].
Other researchers in a three-year-long experiment in China estimated both Shannon and Simpson indices of soil fungal community to be higher under the no tillage as compared with the conventional one [20]. Notably, even within one study, fungal richness in two of the locations could be higher in the no till soil as compared with the conventionally tilled one, being unaffected in the third location [21]. Our finding that the indices for the 0–5 cm mycobiome were the same as in the respective layer of the undisturbed soil, strongly suggests that for some environmental contexts the indices cannot adequately indicate the effects: in our study, rather a big number of fungal taxa (at different taxonomical levels) were found to be differentially abundant due to soil tillage, thus clearly indicating shifts in the mycobiome composition and structure. Our results are in line with the conclusion that estimates of biodiversity do not capture important facets of community adaptation to land management change adequately, which was reached by other researchers before [57] in an experimental study, and in a recently published meta-analysis (conducted on 43 peer-reviewed articles from around the world) to examine the effects of no tillage on soil microbial diversity [59], which concluded that no tillage caused no significant change to fungal diversity.
Yet the soil mycobiome OTUs’ richness was reported to be decreased under reduced or no tillage [56,60], and in our study, there was also a decrease in actual and potential (Chao-1) richness in both cropped fields; however, other studies reported that richness was weakly correlated to tillage [61]. Our finding that in the 0–5 cm layer the observed and potential fungal OTUs’ richness was markedly (15–18%) lower under conventional tillage as compared with no tillage could have resulted in part from the inversion of soil layers by ploughing and mixing by disking; the effect of seasonality may have also contributed to the pattern. In general, the lower species richness in the conventionally ploughed soil results from the fact that such soil provides a more limited range of niche space for fungi due to poor diversity of plant species, reduced organic matter inputs, and poorer soil aggregation, etc.
Our finding that among all studied soil samples the lowest species richness was found in the 5–15 cm layer of the undisturbed soil illustrates just that, i.e., no soil disturbance, except for penetrating roots and precipitation/soil solution leaching. Moreover, most of the α-biodiversity indices for the undisturbed soil mycobiome, differed between 0–5 and 5–15 cm layers, thus confirming the absence of disturbance by tillage.
As for the absence of mycobiome β-diversity between the CN and NT soils, apparently, 12 years of no tillage so far had not resulted in any difference in contrast to the results of some long-term (50 years) field trials, albeit cropped for corn and soybean [62].

4.7. Fungal Taxa Abundance and Soil Properties

Although some dominant phyla were found to show certain association with the basic soil properties (as visualized by the principal components analysis), at the OTU level most of the dominants had a mostly negative correlation, producing the impression that their abundance within the range of the studied soil samples and the corresponding range of soil properties is mainly driven by some other soil properties, like specific chemical nature of plant residues, interactions with other microbiota, etc.

4.8. General Comments

Our study showed that no tillage shifted soil mycobiome composition (species richness) closer to the one in the undisturbed soil under natural vegetation, most likely by altering physicochemical properties of the soil environment [63], thus expanding the opportunity space [57] for fungi surviving and thriving. As, by general consensus, species-richer fungal communities or naturally developed communities are regarded as “healthier” [64] in comparison with agriculturally used ones, our results support the notion that switching the long-term conventional tillage fields to the no-till ones can improve soil health [65] and ecosystem productivity.
Notably, the soil mycobiome α-biodiversity indices in our study, except for species richness, did not show any tillage-related differences. However, β-biodiversity, as displayed by the dissimilarity index based on Bray-Curtis distance, showed that both cropped fields were grouped together, being rather far from the undisturbed soil. This result suggests that soil mycobiome in the notill soil was much closer to that in the conventionally ploughed soil, despite the difference in soil organic matter content (Table 1) and wheat phytomass residue input. The finding was rather unexpected, as we anticipated some clear distancing between the cropped soils after more than a decade long different tillage; however, such a situation may have been due to the fact that wheat residue decomposition had progressed already for a month and a half prior to the soil sampling for this study, which made the mycobiomes’ diversity more similar.
The possibility to analyze the undisturbed soil under natural vegetation in the area adjacent to the experimental cropped fields is not often available, or the importance of examining such soils can be overlooked by researchers. We believe that including the undisturbed soil in comparative soil metagenomic studies provides a very important reference, crucial for restoring and sustaining soil microbial biodiversity in the future. Therefore, from the ecological point of view, the inclusion of the undisturbed adjacent soil is a strong positive feature of our study.
As for revealing microbial biomarkers, specific for each tillage treatment, we should reiterate that soil samples for the microbiome analysis were taken once, late in the growing season for the soil under undisturbed vegetation and rather long (ca. 1.5 months) after the harvest in the wheat-cropped notill and conventionally tilled fields. Therefore, as we did not examine any temporal dynamics, the taxa we found might be regarded as such only for the same time frame. Adopting the recently proposed ecospace framework with its spatiotemporal continuity [66], ideally, researchers should include temporal dynamics for a formal and structured quantification of environmental variation [67]. Thus the absence of temporal dynamics can be considered somewhat of a drawback in our study. To be fair, though, we should note that a) we managed to find only a few studies about the effect of notill on soil microbiota/microbiome which included seasonal dynamics [45]. Moreover, any attempt to grasp temporal continuity, immediately poses a question of how frequent sampling events should be in order to adequately account for such continuity?
At the same time, we want to emphasise again that, with the aim to observe the tillage treatment effect more clearly, soil sampling for this study was performed 1.5 months after wheat harvesting, to decrease the influence of living plants on soil microbial assemblages and to allow a relatively long period of plant residue decomposition by fungi to reveal the main participants in the process. This can be considered a positive aspect of the study with consequences in agrotechnology improvement.
Here we presented results mainly for the dominant taxa, despite the vast sets of identified OTUs. By doing this we are not sending a message that rare species are ecologically and agriculturally unimportant; far from it, we believe that minor or rare species may contribute to shaping inter-species relations and fine-tuning microbiota adjustment to environmental changes. However, often there is little ecological knowledge that can be linked even to the dominant OTUs, let alone the minor or rare ones [68], especially for fungi, as there is a lack of reference fungal genomes for such complex ecosystems as soils [69]. Consequently, ecological interpretation of OTU/species assemblages assessed by analysing environmental DNA is often speculative, and much effort is yet needed to improve the ecological annotation in the reference databases. Yet, we tend to believe that rare sequences are unlikely to crucially affect ecological context [70]; therefore, irrespective of the total mycobiome richness and land management, the dominants were few in all three soils, summarily accounting for 23% of the sequence reads abundance in the undisturbed soil and for 40% in the ploughed, and 45% in the notill soil mycobiomes, respectively, the main fungal actors in soil functioning at the end of the growing season should be sought among the dominating assemblages.

5. Conclusions

The presented results provide the first inventory of the mycobiome diversity in the most common soil type (Chernozem) in the important agricultural area in West Siberia, as specifically shaped by vegetation and soil tillage. We revealed a distinct influence of different tillage types upon the mycobiome assembly. The soil mycobiome under natural steppe vegetation was species richest, with no till following, and ploughed soil displaying the lowest richness, most likely due to the reduced opportunity space for microorganisms. After 12 years of continuous notill management the soil harboured, albeit altered mycobiome, yet still rather close to the one in conventionally tilled soil.

Author Contributions

Conceptualization, N.N. and P.B.; Data curation, O.R.; Funding acquisition, M.K.; Investigation, O.B.; Methodology, N.N.; Project administration, P.B.; Resources, P.B.; Software, M.K.; Supervision, M.K.; Validation, P.B., O.B. and O.R.; Visualization, N.N.; Writing—original draft, N.N.; Writing—review and editing, P.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Science and Higher Education of the Russian Federation, grant number 075-15-2021-1085.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The read data reported in this study were submitted to the GenBank under the study accession PRJNA845814.

Acknowledgments

The authors are very thankful to the private farmer A.E. Weiss for his permission to sample soils from the experimental fields.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Bünemann, E.K.; Bongiorno, G.; Bai, Z.; Creamer, R.E.; De Deyn, G.; de Goede, R.; Fleskens, L.; Geissen, V.; Kuyper, T.W.; Mäder, P.; et al. Soil quality—A critical review. Soil Biol. Biochem. 2018, 120, 105–125. [Google Scholar] [CrossRef]
  2. Coleman, D. Through a ped darkly ̵ an ecological assessment of root soil-microbial-faunal interactions. In Ecological Interactions in the Soil: Plants, Microbes and Animals; Fitter, A.H., Atkinson, D., Read, D.J., Usher, M.B., Eds.; Blackwell Science Publication: Oxford, UK, 1985; pp. 1–21. [Google Scholar]
  3. He, L.; Rodrigues, J.L.M.; Soudzilovskaia, N.A.; Barceló, M.; Olsson, P.A.; Song, C.; Tedersoo, L.; Yuan, F.; Yuan, F.; Lipson, D.A.; et al. Global biogeography of fungal and bacterial biomass carbon in topsoil. Soil Biol. Biochem. 2020, 151, 108024. [Google Scholar] [CrossRef]
  4. Taylor, D.L.; Hollingsworth, T.N.; McFarland, J.W.; Lennon, N.J.; Nusbaum, C.; Ruess, R.W. A first comprehensive census of fungi in soil reveals both hyperdiversity and fine-scale niche partitioning. Ecol. Monogr. 2014, 84, 3–20. [Google Scholar] [CrossRef]
  5. Smith, M.L.; Bruhn, J.N.; Anderson, J.B. The fungus Armillaria bulbosa is among the largest and oldest living organisms. Nature 1992, 356, 428–431. [Google Scholar] [CrossRef]
  6. Beare, M.; Coleman, D.; Crossley, D.; Hendrix, P.; Odum, E. A Hierarchical approach to evaluating the significance of soil biodiversity to biogeochemical cycling. Plant Soil 1995, 170, 5–22. [Google Scholar] [CrossRef]
  7. Brussaard, L.; De Ruiter, P.C.; Brown, G.G. Soil biodiversity for agricultural sustainability. Agric. Ecosyst. Environ. 2007, 121, 233–244. [Google Scholar] [CrossRef]
  8. Derpsch, R.; Friedrich, T.; Kassam, A.; Li, H. Current status of adoption of no-till farming in the world and some of its main benefits. Int. J. Agric. Biol. Eng. 2010, 3, 1–25. [Google Scholar]
  9. Abbas, F.; Hammad, H.M.; Ishaq, W.; Farooque, A.A.; Bakhat, H.F.; Zia, Z.; Fahad, S.; Farhad, W.; Cerdà, A. A review of soil carbon dynamics resulting from agricultural practices. J. Environ. Manag. 2020, 268, 110319. [Google Scholar] [CrossRef]
  10. Cornell, C.R.; Zhang, Y.; Van Nostrand, J.D.; Wagle, P.; Xiao, X.; Zhou, J. Temporal Changes of Virus-Like Particle Abundance and Metagenomic Comparison of Viral Communities in Cropland and Prairie Soils. mSphere 2021, 6, e0116020. [Google Scholar] [CrossRef]
  11. Available online: https://meteoinfo.ru/en/climate/monthly-climate-means-for-towns-of-russia-temperature-and-precipitation (accessed on 31 May 2022).
  12. IUSS Working Group. WRB, World Reference Base for Soil Resources 2015. International Soil Classification System for Naming Soils and Creating Legends for Soil Maps; FAO: Rome, Italy, 2015. [Google Scholar]
  13. Carter, M.R.; Gregorich, E.G. (Eds.) Soil Sampling and Methods of Analysis, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2008. [Google Scholar]
  14. Fadrosh, D.W.; Ma, B.; Gajer, P.; Sengamalay, N.; Ott, S.; Brotman, R.M.; Ravel, J. An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform. Microbiome 2014, 2, 6. [Google Scholar] [CrossRef] [Green Version]
  15. Kryukov, V.Y.; Kosman, E.; Tomilova, O.; Polenogova, O.; Rotskaya, U.; Tyurin, M.; Alikina, T.; Yaroslavtseva, O.; Kabilov, M.; Glupov, V. Interplay between Fungal Infection and Bacterial Associates in the Wax Moth Galleria mellonella under Different Temperature Conditions. J. Fungi 2020, 6, 170. [Google Scholar] [CrossRef]
  16. Edgar, R.C. UPARSE: Highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 2013, 10, 996–998. [Google Scholar] [CrossRef] [PubMed]
  17. Abarenkov, K.; Zirk, A.; Piirmann, T.; Pöhönen, R.; Ivanov, F.; Nilsson, R.H.; Kõljalg, U. UNITE USEARCH/UTAX release for Fungi. UNITE Community 2020, 4, 2020. [Google Scholar] [CrossRef]
  18. Hammer, O.; Harper, D.A.T.; Ryan, P.D. PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontol. Electron. 2001, 4, 9. [Google Scholar]
  19. Hughes, J.B.; Hellmann, J.J. The Application of Rarefaction Techniques to Molecular Inventories of Microbial Diversity. Methods Enzymol. 2005, 397, 292–308. [Google Scholar] [CrossRef] [PubMed]
  20. Wang, X.L.; Ma, K.; Fu, Y.Z.; Wang, Z.Q.; An, Y.Y. Effects of no-tillage, mulching, and organic fertilization on soil fungal community composition and diversity. Ying Yong Sheng Tai Xue Bao 2020, 31, 890–898. (In Chinese) [Google Scholar] [CrossRef]
  21. Sharma-Poudyal, D.; Schlatter, D.; Yin, C.; Hulbert, S.; Paulitz, T. Long-term no-till: A major driver of fungal communities in dryland wheat cropping systems. PLoS ONE 2017, 12, e0184611. [Google Scholar] [CrossRef] [Green Version]
  22. Legrand, F.; Picot, A.; Cobo-Díaz, J.F.; Carof, M.; Chen, W.; le Floch, G. Effect of tillage and static abiotic soil properties on microbial diversity. Appl. Soil Ecol. 2018, 132, 135–145. [Google Scholar] [CrossRef]
  23. Moreno, M.V.; Casas, C.; Biganzoli, F.; Manso, L.; Silvestro, L.B.; Moreira, E.; Stenglein, S.A. Cultivable soil fungi community response to agricultural management and tillage system on temperate soil. J. Saudi Soc. Agric. Sci. 2021, 20, 217–226. [Google Scholar] [CrossRef]
  24. Misiak, M.; Goodall-Copestake, W.P.; Sparks, T.H.; Worland, M.R.; Boddy, L.; Magan, N.; Convey, P.; Hopkins, D.W.; Newsham, K.K. Inhibitory effects of climate change on the growth and extracellular enzyme activities of a widespread Antarctic soil fungus. Glob. Chang. Biol. 2020, 27, 1111–1125. [Google Scholar] [CrossRef]
  25. Naumova, N.B.; Belanov, I.P.; Alikina, T.Y.; Kabilov, M.R. Undisturbed Soil Pedon under Birch Forest: Characterization of Microbiome in Genetic Horizons. Soil Syst. 2021, 5, 14. [Google Scholar] [CrossRef]
  26. Poll, C.; Brune, T.; Begerow, D.; Kandeler, E. Small-scale diversity and succession of fungi in the detritusphere of rye residues. Microb. Ecol. 2010, 59, 130–140. [Google Scholar] [CrossRef] [PubMed]
  27. Ozimek, E.; Hanaka, A. Mortierella Species as the Plant Growth-Promoting Fungi Present in the Agricultural Soils. Agriculture 2021, 11, 7. [Google Scholar] [CrossRef]
  28. Silva, A.M.M.; Estrada-Bonilla, G.A.; Lopes, C.M.; Matteoli, F.P.; Cotta, S.R.; Feiler, H.P.; Rodrigues, Y.F.; Cardoso, E.J.B.N. Does Organomineral Fertilizer Combined with Phosphate-Solubilizing Bacteria in Sugarcane Modulate Soil Microbial Community and Functions? Microb. Ecol. 2021. [Google Scholar] [CrossRef] [PubMed]
  29. Soytong, K.; Kahonokmedhakul, S.; Song, J.; Tongon, R. Chaetomium Application in Agriculture. In Technology in Agriculture; Ahmad, F., Sultan, M., Eds.; IntechOpen: London, UK, 2021. [Google Scholar] [CrossRef]
  30. Zhang, X.; Zhu, Y.; Li, J.; Zhu, P.; Liang, B. Exploring dynamics and associations of dominant lignocellulose degraders in tomato stalk composting. J. Environ. Manag. 2021, 294, 113162. [Google Scholar] [CrossRef]
  31. Sun, Z.B.; Li, S.D.; Ren, Q.; Xu, J.L.; Lu, X.; Sun, M.H. Biology and applications of Clonostachys rosea. J. Appl. Microbiol. 2020, 129, 486–495. [Google Scholar] [CrossRef] [Green Version]
  32. Sharma, L.; Bohra, N.; Rajput, V.D.; Quiroz-Figueroa, F.R.; Singh, R.K.; Marques, G. Advances in Entomopathogen Isolation: A Case of Bacteria and Fungi. Microorganisms 2020, 9, 16. [Google Scholar] [CrossRef]
  33. Burgess, L.W.; Griffin, D.M. The recovery of Gibberella zeae from wheat straws. Austral. J. Exp. Agric. 1968, 8, 364–370. [Google Scholar] [CrossRef]
  34. Pereyra, S.A.; Dill-Macky, R.; Sims, A.L. Survival and inoculum production of Gibberella zeae in wheat residue. Plant. Dis. 2004, 88, 724–730. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Ma, A.; Zhuang, X.; Wu, J.; Cui, M.; Lv, D.; Liu, C.; Zhuang, G. Ascomycota members dominate fungal communities during straw residue decomposition in arable soil. PLoS ONE 2013, 8, e66146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Tyśkiewicz, R.; Nowak, A.; Ozimek, E.; Jaroszuk-Ściseł, J. Trichoderma: The Current Status of Its Application in Agriculture for the Biocontrol of Fungal Phytopathogens and Stimulation of Plant Growth. Int. J. Mol. Sci. 2022, 23, 2329. [Google Scholar] [CrossRef]
  37. Seifert, K.A.; Nickerson, N.L.; Corlett, M.; Jackson, E.D.; Louis-Seize, G.; Davies, R.J. Devriesia, a new hyphomycete genus to accommodate heat-resistant, cladosporium-like fungi. Can. J. Bot. 2004, 82, 914–926. [Google Scholar] [CrossRef]
  38. Frank, J.; Crous, P.W.; Groenewald, J.Z.; Oertel, B.; Hyde, K.D.; Phengsintham, P.; Schroers, H.J. Microcyclospora and Microcyclosporella: Novel genera accommodating epiphytic fungi causing sooty blotch on apple. Persoonia 2010, 24, 93–105. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Tsuneda, A.; Hambleton, S.; Currah, R.S. The anamorph genus Knufia and its phylogenetically allied species in Coniosporium, Sarcinomyces, and Phaeococcomyces. Botany 2011, 89, 523–536. [Google Scholar] [CrossRef]
  40. Mehrabi, M.; Asgari, B.; Hemmati, R. Knufia perfecta, a new black yeast from Iran, and a key to Knufia species. Nova Hedwig. 2018, 106, 519–534. [Google Scholar] [CrossRef]
  41. Liu, S.; Zhao, Y.; Heering, C.; Janiak, C.; Müller, W.E.G.; Akoné, S.H.; Liu, Z.; Proksch, P. Sesquiterpenoids from the Endophytic Fungus Rhinocladiella similis. J. Nat. Prod. 2019, 82, 1055–1062. [Google Scholar] [CrossRef] [PubMed]
  42. van Erven, G.; Kleijn, A.F.; Patyshakuliyeva, A.; Di Falco, M.; Tsang, A.; de Vries, R.P.; van Berkel, W.J.H.; Kabel, M.A. Evidence for ligninolytic activity of the ascomycete fungus Podospora anserina. Biotechnol. Biofuels 2020, 13, 75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Ndinga-Muniania, C.; Mueller, R.C.; Kuske, C.R.; Porras-Alfaro, A. Seasonal variation and potential roles of dark septate fungi in an arid grassland. Mycologia 2021, 113, 1181–1198. [Google Scholar] [CrossRef]
  44. Gupta, P.; Vakhlu, J.; Sharma, Y.P.; Imchen, M.; Kumavath, R. Metagenomic insights into the fungal assemblages of the northwest Himalayan cold desert. Extremophiles 2020, 24, 749–758. [Google Scholar] [CrossRef]
  45. Nicola, L.; Landínez-Torres, A.Y.; Zambuto, F.; Capelli, E.; Tosi, S. The Mycobiota of High Altitude Pear Orchards Soil in Colombia. Biology 2021, 10, 1002. [Google Scholar] [CrossRef]
  46. Fernandez-Gnecco, G.; Smalla, K.; Maccario, L.; Sørensen, S.J.; Barbieri, P.; Consolo, V.F.; Covacevich, F.; Babin, D. Microbial community analysis of soils under different soybean cropping regimes in the Argentinean south-eastern Humid Pampas. FEMS Microbiol. Ecol. 2021, 97, fiab007. [Google Scholar] [CrossRef] [PubMed]
  47. Yang, H.; Zhao, Y.; Ma, J.; Rong, Z.; Chen, J.; Wang, Y.; Zheng, X.; Ye, W. Wheat Straw Return Influences Soybean Root-Associated Bacterial and Fungal Microbiota in a Wheat-Soybean Rotation System. Microorganisms 2022, 10, 667. [Google Scholar] [CrossRef]
  48. Doğmuş-Lehtijärvi, H.T.; Lehtijärvi, A.; Woodward, S.; Oskay, F.; Sieber, T. Impacts of inoculation with Herpotrichia pinetorum, Gremmenia infestans and Gremmeniella abietina on Pinus nigra subsp. pallasiana and Cedrus libani seedlings in the field. For. Pathol. 2016, 46, 47–53. [Google Scholar] [CrossRef]
  49. Mao, Z.; Zhang, W.; Wu, C.; Feng, H.; Peng, Y.; Shahid, H.; Cui, Z.; Ding, P.; Shan, T. Diversity and antibacterial activity of fungal endophytes from Eucalyptus exserta. BMC Microbiol. 2021, 21, 155. [Google Scholar] [CrossRef] [PubMed]
  50. Kowalski, T.; Kraj, W.; Bednarz, B. Fungi on stems and twigs in initial and advanced stages of dieback of European ash (Fraxinus excelsior) in Poland. Eur. J. For. Res. 2016, 135, 565–579. [Google Scholar] [CrossRef] [Green Version]
  51. Machado, T.O.; Beckers, S.J.; Fischer, J.; Sayer, C.; de Araújo, P.H.H.; Landfester, K.; Wurm, F.R. Cellulose nanocarriers via miniemulsion allow Pathogen-Specific agrochemical delivery. J. Colloid Interface Sci. 2021, 601, 678–688. [Google Scholar] [CrossRef] [PubMed]
  52. Hamza, A.A.; Gunyar, O.A. Functional properties of Rhizopus oryzae strains isolated from agricultural soils as a potential probiotic for broiler feed fermentation. World J. Microbiol. Biotechnol. 2022, 12, 41. [Google Scholar] [CrossRef] [PubMed]
  53. Grządziel, J.; Gałązka, A. Fungal Biodiversity of the Most Common Types of Polish Soil in a Long-Term Microplot Experiment. Front. Microbiol. 2019, 10, 6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Zhang, Z.-K.; Wang, X.-C.; Zhuang, W.-Y.; Cheng, X.-H.; Zhao, P. New Species of Talaromyces (Fungi) Isolated from Soil in Southwestern China. Biology 2021, 10, 745. [Google Scholar] [CrossRef] [PubMed]
  55. Han, P.J.; Sun, J.Q.; Wang, L. Two New Sexual Talaromyces Species Discovered in Estuary Soil in China. J. Fungi 2021, 8, 36. [Google Scholar] [CrossRef] [PubMed]
  56. Su, Y.; He, Z.; Yang, Y.; Jia, S.; Yu, M.; Chen, X.; Shen, A. Linking soil microbial community dynamics to straw-carbon distribution in soil organic carbon. Sci. Rep. 2020, 10, 5526. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Degrune, F.; Theodorakopoulos, N.; Dufrêne, M.; Colinet, G.; Bodson, B.; Hiel, M.P.; Taminiau, B.; Nezer, C.; Daube, G.; Vandenbol, M. No favorable effect of reduced tillage on microbial community diversity in a silty loam soil (Belgium). Agric. Ecosyst. Environ. 2016, 224, 12–21. [Google Scholar] [CrossRef]
  58. Neal, A.L.; Hughes, D.; Clark, I.M.; Jansson, J.K.; Hirsch, P.R. Microbiome Aggregated Traits and Assembly Are More Sensitive to Soil Management than Diversity. mSystems 2021, 6, e0105620. [Google Scholar] [CrossRef] [PubMed]
  59. Li, Y.; Song, D.; Liang, S.; Dang, P.; Qin, X.; Liao, Y.; Siddique, K. Effect of no-tillage on soil bacterial and fungal community diversity: A meta-analysis. Soil Till. Res. 2020, 204, 104721. [Google Scholar] [CrossRef]
  60. Wagg, C.; Dudenhöffer, J.-H.; Widmer, F.; van der Heijden, M.G.A. Linking diversity, synchrony and stability in soil microbial communities. Funct. Ecol. 2018, 32, 1280–1292. [Google Scholar] [CrossRef]
  61. Frøslev, T.G.; Nielsen, I.B.; Santos, S.S.; Barnes, C.J.; Bruun, H.H.; Ejrnæs, R. The biodiversity effect of reduced tillage on soil microbiota. Ambio 2022, 51, 1022–1033. [Google Scholar] [CrossRef] [PubMed]
  62. Srour, A.Y.; Ammar, H.A.; Subedi, A.; Pimentel, M.; Cook, R.L.; Bond, J.; Fakhoury, A.M. Microbial Communities Associated With Long-Term Tillage and Fertility Treatments in a Corn-Soybean Cropping System. Front. Microbiol. 2020, 25, 1363. [Google Scholar] [CrossRef] [PubMed]
  63. Cai, L.; Guo, Z.; Zang, J.; Gai, Z.; Liu, J.; Meng, Q.; Liu, X. No tillage and residue mulching m ethod on bacterial community diversity regulation in a black soil region of Northeastern China. PLoS ONE 2021, 16, e0256970. [Google Scholar] [CrossRef] [PubMed]
  64. Karunarathna, A.; Tibpromma, S.; Jayawardena, R.S.; Nanayakkara, C.; Asad, S.; Xu, J.; Hyde, K.D.; Karunarathna, S.C.; Stephenson, S.L.; Lumyong, S.; et al. Fungal Pathogens in Grasslands. Front. Cell Infect. Microbiol. 2021, 11, 695087. [Google Scholar] [CrossRef] [PubMed]
  65. Gabbarini, L.A.; Figuerola, E.; Frene, J.P.; Robledo, N.B.; Ibarbalz, F.M.; Babin, D.; Smalla, K.; Erijman, L.; Wall, L.G. Impacts of switching tillage to no-tillage and vice versa on soil structure, enzyme activities and prokaryotic community profiles in Argentinean semi-arid soils. FEMS Microbiol. Ecol. 2021, 97, fiab025. [Google Scholar] [CrossRef]
  66. Brunbjerg, A.K.; Bruun, H.H.; Moeslund, J.E.; Sadler, J.P.; Svenning, J.-C.; Ejrnæs, R. Ecospace: A unified framework for understanding variation in terrestrial biodiversity. Basic Appl. Ecol. 2017, 18, 86–94. [Google Scholar] [CrossRef] [Green Version]
  67. Brunbjerg, A.K.; Bruun, H.H.; Dalby, L.; Classen, A.T.; Fløjgaard, C.; Frøslev, T.G.; Pryds Hansen, O.L.; Høye, T.T.; Moeslund, J.E.; Svenning, J.-C.; et al. Multi-taxon inventory reveals highly consistent biodiversity responses to ecospace variation. Oikos 2020, 129, 1381–1392. [Google Scholar] [CrossRef]
  68. Brunbjerg, A.K.; Bruun, H.H.; Brøndum, L.; Classen, A.T.; Dalby, L.; Fog, K.; Frøslev, T.G.; Goldberg, I.; Hansen, A.J.; Hansen, M.D.D.; et al. A systematic survey of regional multi-taxon bio.diversity: Evaluating strategies and coverage. BMC Ecol. 2019, 19, 43. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Djemiel, C.; Maron, P.A.; Terrat, S.; Dequiedt, S.; Cottin, A.; Ranjard, L. Inferring microbiota functions from taxonomic genes: A review. Gigascience 2022, 11, giab090. [Google Scholar] [CrossRef]
  70. Brown, S.P.; Veach, A.M.; Rigdon-Huss, A.R.; Grond, K.; Lickteig, S.K.; Lothamer, K.; Oliver, A.K.; Jumpponen, A. Scraping the bottom of the barrel: Are rare high throughput sequences artifacts? Fungal Ecol. 2015, 13, 221–225. [Google Scholar] [CrossRef] [Green Version]
Life 12 01169 g001a 550Life 12 01169 g001b 550
Figure 1. Relative abundance of some dominant fungal OTUs in the undisturbed (shown in green), ploughed (black) and notill (blue) soil (Chernozem) in the forest-steppe zone in the south of West Siberia: Pseudogymnoascus roseus (a), Trichocladium asperum (b), Gibberella sp. (c), Chaetomium sp. (d), Mortierella elongata (e) and Clonostachys rosea (f). The whiskers show 0.95 confidence intervals.
Figure 1. Relative abundance of some dominant fungal OTUs in the undisturbed (shown in green), ploughed (black) and notill (blue) soil (Chernozem) in the forest-steppe zone in the south of West Siberia: Pseudogymnoascus roseus (a), Trichocladium asperum (b), Gibberella sp. (c), Chaetomium sp. (d), Mortierella elongata (e) and Clonostachys rosea (f). The whiskers show 0.95 confidence intervals.
Life 12 01169 g001aLife 12 01169 g001b
Life 12 01169 g002 550
Figure 2. Principal coordinates analysis of the soil mycobiome composition (OTU level, Bray-Curtis distance) under different soil tillage in the forest-steppe zone in West Siberia: location of samples in the plane of the first two coordinates. Symbols used: solid circles indicate samples from the 0–5 cm layer, and open circles indicate samples from the 5–15 cm layer.
Figure 2. Principal coordinates analysis of the soil mycobiome composition (OTU level, Bray-Curtis distance) under different soil tillage in the forest-steppe zone in West Siberia: location of samples in the plane of the first two coordinates. Symbols used: solid circles indicate samples from the 0–5 cm layer, and open circles indicate samples from the 5–15 cm layer.
Life 12 01169 g002
Life 12 01169 g003a 550Life 12 01169 g003b 550
Figure 3. Principal components analysis: location of the dominant phyla (a) and OTUs (b) in the plane of the first two principal components—factor loadings for the relative abundance of taxa (active variables) and soil properties (supplementary variables); and location of the soil samples (c). Abbreviations used: STC—soil total C, STN—soil total nitrogen, SOM—soil organic matter, EC—electric conductivity, Pav—available P2O5, Prav—readily available p, Kex—exchangeable K. Symbols used: solid circles indicate samples from the 0–5 cm layer, and open circles indicate samples from the 5–15 cm layer.
Figure 3. Principal components analysis: location of the dominant phyla (a) and OTUs (b) in the plane of the first two principal components—factor loadings for the relative abundance of taxa (active variables) and soil properties (supplementary variables); and location of the soil samples (c). Abbreviations used: STC—soil total C, STN—soil total nitrogen, SOM—soil organic matter, EC—electric conductivity, Pav—available P2O5, Prav—readily available p, Kex—exchangeable K. Symbols used: solid circles indicate samples from the 0–5 cm layer, and open circles indicate samples from the 5–15 cm layer.
Life 12 01169 g003aLife 12 01169 g003b
Table
Table 1. Soil properties in different experimental fields in the south of West Siberia.
Table 1. Soil properties in different experimental fields in the south of West Siberia.
PropertyUndisturbedPloughedNo Till
0–5 cm5–15 cm0–5 cm5–15 cm0–5 cm5–15 cm
Bulk density, g cm−3 soil1.111.231.021.091.131.19
Soil texture, %
Sand (2–0.063 mm)34 b #34 b16 a15 a15 a16 a
Silt (0.063–0.002 mm)41 a43 a53 b51 b52 b50 b
Clay (<0.002 mm)25 b23 a31 bc34 c33 c34 c
pH6.61 b6.65 bc6.67 bc6.82 c6.29 a6.75 bc
EC *, µS239 ab 209 a286 bc288 bc286 bc330 c
STC, %4.2 b3.6 a4.0 bc3.8 ac4.1 bc3.8 ac
STN, %0.37 c0.31 a0.35 c0.33 bc0.33 b0.29 a
SOM, %9.7 c7.8 a8.9 b8.4 ab9.6 c8.9 b
NO3−, mg N kg−1 soil2.0 a1.3 a 3.6 b3.2 b4.6 c4.8 c
Pav, mg P2O5 kg−1 soil15.2 b8.6 a81.5 d37.7 c77.4 d18.4 bc
Prav, mg P2O5 kg−1 soil0.55 ab0.22 a1.74 bc0.39 a2.74 c0.15 a
Kex, mg K2O kg−1 soil577 d283 a781 e494 c726 e354 ab
# Different letters in rows indicate statistically significant difference at p ≤ 0.05 (Fisher’s LSD test). * Abbreviations used: STC—soil total C, STN—soil total nitrogen, SOM—soil organic matter, EC—electric conductivity, C/N—the ratio of C and N in soil, Pav—available p, Prav—readily available p, Kex—exchangeable K.
Table
Table 2. Relative abundance (%, mean) of the dominant fungal phyla and classes in Chernozem 0–5 and 5–15 cm layers in the experimental fields in the south of West Siberia.
Table 2. Relative abundance (%, mean) of the dominant fungal phyla and classes in Chernozem 0–5 and 5–15 cm layers in the experimental fields in the south of West Siberia.
TaxonUndisturbedPloughedNo Till
0–5 cm5–15 cm0–5 cm5–15 cm0–5 cm5–15 cm
Phylum level
Ascomycota85.8 b,1 82.1 ab82.9 ab78.6 a80.4 a80.0 a
Basidiomycota7.9 c6.5 bc4.3 ab5.4 abc3.1 a4.0 ab
Zygomycota2.4 a 5.0 ab6.3 b6.8 b10.7 c7.6 bc
Mortierellomycota1.1 a3.4 b4.1 bc6.3 c3.4 b5.3 bc
Chytridiomycota0.4 a0.4 a1.1 c0.7 b1.1 c0.7 b
Glomeromycota0.8 b1.0 b0.0 a0.3 a 0.1 a0.9 b
un. 3 Fungi0.9 ab1.2 b0.9 ab1.2 b0.7 a0.9 ab
Class level
Sordariomycetes15.6 a15.2 a51.2 b46.0 b43.6 b41.4 b
Dothideomycetes30.2 b18.3 a18.7 a15.3 a16.8 a17.1 a
Eurotiomycetes19.1 c25.7 d5.3 a 11.4 b11.1 b14.4 bc
Agaricomycetes4.6 b5.2 b3.3 ab3.9 b1.3 a2.3 ab
Leotiomycetes5.68.15.64.46.75.8
Mucoromycotina_is 22.4 a4.6 a6.2 b6.2 bc10.6 c7.3 bc
Mortierellomycetes1.1 a3.4 b4.1 b6.3 c3.4 b5.3 bc
unc_Ascomycota6.1 bc10.4 c1.0 b0.5 a1.1 ab0.5 a
Tremellomycetes1.7 b0.4 a0.4 a0.9 ab1.0 ab1.1 ab
Orbiliomycetes2.2 b2.6 b0.1 a0.1 a0.1 a0.1 a
Pezizomycotina_is3.4 b0.1 a0.1 a0.1 a0.3 a0.1 a
Glomeromycetes0.8 bc1.0 c0.0 a0.3 ab0.1 a0.9 bc
1 Different letters after the values in rows indicate that the values differ at p ≤ 0.05 level (Fisher’s LSD test); the absence of letters in a row indicates that there was no difference. 2 “is” stands for insertae sedis. 3 un. stands for unclassified.
Table
Table 3. Relative abundance (%, mean) of the dominant fungal genera in Chernozem 0–5 and 5–15 cm layers) of the experimental fields in the south of West Siberia.
Table 3. Relative abundance (%, mean) of the dominant fungal genera in Chernozem 0–5 and 5–15 cm layers) of the experimental fields in the south of West Siberia.
GenusUndisturbedPloughedNo Till
0–5 cm5–15 cm0–5 cm5–15 cm0–5 cm5–15 cm
Chaetomium0.2 a,10.9 a8.2 d6.8 cd4.3 b5.9 c
Clonostachys0.3 a0.1 a1.1 b2.7 c2.3 c2.7 c
Cordyceps0.0 a0.2 ab0.7 ab2.0 c1.0 b2.8 c
Devriesia5.6 b0.2 a0.0 a0.0 a0.0 a0.0 a
Exophiala1.0 a0.7 a0.7 a0.6 a2.5 c1.6 b
Fusarium0.5 a1.5 ab2.6 b5.2 c2.4 ab4.7 c
Gibberella1.7 a0.7 a7.3 c5.4 bc11.2 d5.3 bc
Herpotrichia1.5 a0.0 a0.8 a0.0 a3.1 b0.7 a
Humicola0.6 a3.9 c1.2 a2.0 ab0.9 a2.2 b
Hypocrea0.3 a0.3 a1.9 b2.2 b2.3 b2.1 b
Knufia4.4 b0.1 a0.0 a0.0 a0.2 a0.0 a
Lecythophora0.4 a0.0 a2.2 c0.6 a1.4 b0.4 a
Lophiostoma0.1 a0.1 a0.6 a0.1 a2.5 b0.2 a
Metarhizium0.4 a0.1 a0.8 ab1.7 c1.3 bc1.3 bc
Mortierella3.4 a8.0 b8.2 bc11.2 c10.5 bc10.7 c
Neonectria0.0 a0.1 a0.4 a0.9 b0.9 b1.9 c
Penicillium6.7 c5.3 abc1.9 a5.7 bc2.5 ab3.4 abc
Phialocephala0.9 a0.6 a2.1 b1.3 ab1.5 ab1.4 ab
Podospora1.5 ab0.8 a11.0 d4.3 c3.7 bc1.5 ab
Preussia0.5 ab0.1 a2.0 c1.4 b1.1 b0.8 ab
Pseudogymnoascus4.6 ab11.0 c2.6 a7.2 bc2.3 a10.4 c
Rhinocladiella3.3 b5.1 c0.0 a0.0 a0.0 a0.0 a
Rhizopus0.0 a0.0 a1.2 ab0.8 ab3.1 c1.5 b
Talaromyces0.3 a0.0 a1.5 ab1.6 ab4.0 c3.1 bc
Tetracladium0.0 a0.8 ab1.6 abc1.0 abc2.3 bc2.8 c
1 Different letters in rows indicate that the values are different (p ≤ 0.05, Fisher’s LSD test); the absence of letters after the values in a row indicate that there was no difference.
Table
Table 4. Alpha-biodiversity indices (calculated on the OTU’s basis) of mycobiomes in the Chernozem (0–20 cm) of the experimental fields in the south of West Siberia.
Table 4. Alpha-biodiversity indices (calculated on the OTU’s basis) of mycobiomes in the Chernozem (0–20 cm) of the experimental fields in the south of West Siberia.
IndexUndisturbedPloughedNo till
0–5 cm5–15 cm0–5 cm5–15 cm0–5 cm5–15 cm
OTU richness710 c, 1424 a497 a565 b584 b539 b
Chao-1753 c433 a545 ab602 b629 b569 b
Simpson (S)0.980.910.970.980.980.91
Shannon’s4.7 b3.8 a4.4 b4.6 b4.6 b4.2 ab
Evenness0.16 ab0.12 a0.18 b0.19 b0.17 ab0.15 ab
Equitability0.72 b0.63 a0.72 b0.73 b0.72 b0.66 ab
Berger-Parker0.09 a0.23 b0.08 a0.07 a0.07 a0.20 ab
Dominance (1-S)0.020.090.030.020.020.09
1 Different letters in rows indicate that the values are different (p ≤ 0.05, Fisher’s LSD test); the absence of letters after the values in a row indicate that there was no difference.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Naumova, N.; Barsukov, P.; Baturina, O.; Rusalimova, O.; Kabilov, M. Soil Mycobiome Diversity under Different Tillage Practices in the South of West Siberia. Life 2022, 12, 1169. https://doi.org/10.3390/life12081169

AMA Style

Naumova N, Barsukov P, Baturina O, Rusalimova O, Kabilov M. Soil Mycobiome Diversity under Different Tillage Practices in the South of West Siberia. Life. 2022; 12(8):1169. https://doi.org/10.3390/life12081169

Chicago/Turabian Style

Naumova, Natalia, Pavel Barsukov, Olga Baturina, Olga Rusalimova, and Marsel Kabilov. 2022. "Soil Mycobiome Diversity under Different Tillage Practices in the South of West Siberia" Life 12, no. 8: 1169. https://doi.org/10.3390/life12081169

APA Style

Naumova, N., Barsukov, P., Baturina, O., Rusalimova, O., & Kabilov, M. (2022). Soil Mycobiome Diversity under Different Tillage Practices in the South of West Siberia. Life, 12(8), 1169. https://doi.org/10.3390/life12081169

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop