Next Article in Journal
16S and 23S rRNA Gene Mutation Independent Multidrug Resistance of Non-Tuberculous Mycobacteria Isolated from South Korean Soil
Next Article in Special Issue
Evaluation of Multifarious Plant Growth Promoting Trials of Yeast Isolated from the Soil of Assam Tea (Camellia sinensis var. assamica) Plantations in Northern Thailand
Previous Article in Journal
Distribution and Control of Bacterial Community Composition in Marian Cove Surface Waters, King George Island, Antarctica during the Summer of 2018
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 8
Issue 8
10.3390/microorganisms8081116
microorganisms-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 Yeast Communities in Revegetated Post-Mining and Adjacent Native Areas in Central Brazil

by
Geisianny Augusta Monteiro Moreira
1 and
Helson Mario Martins do Vale
2,*
1
Microbial Biology Graduate Program, Biological Sciences Institute, Universidade de Brasília, Campus Darcy Ribeiro, Asa Norte, 70910-900 Brasília/DF, Brazil
2
Laboratory of Mycology, Department of Phytopathology, Biological Sciences Institute, Universidade de Brasília, Campus Darcy Ribeiro, Asa Norte, 70910-900 Brasília/DF, Brazil
*
Author to whom correspondence should be addressed.
Microorganisms 2020, 8(8), 1116; https://doi.org/10.3390/microorganisms8081116
Submission received: 30 May 2020 / Revised: 9 July 2020 / Accepted: 15 July 2020 / Published: 24 July 2020
(This article belongs to the Special Issue Yeasts in Soils)
Browse Figures
Versions Notes

Abstract

:
Yeasts represent an important component of the soil microbiome. In central Brazil, mining activities are among the main anthropogenic factors that influence the dynamics of the soil microbiota. Few studies have been dedicated to analysis of tropical soil yeast communities, and even fewer have focused on Brazilian hotspots influenced by mining activity. The aim of the current study was to describe soil yeast communities in a post-mining site with revegetated and native areas, along Neotropical Savanna and Atlantic Forest biomes. Yeast communities were described using a culture-based method and estimator-based species accumulation curves, and their associations with environmental characteristics were assessed using multivariate analysis. The results indicate a greater species richness for yeast communities in the revegetated area. We identified 37 species describing 86% of the estimated richness according to Chao2. Ascomycetous yeasts dominated over basidiomycetous species. Candida maltosa was the most frequent species in two phytocenoses. Red-pigmented yeasts were frequent only in the summer. The main soil attributes affecting yeast communities were texture and micronutrients. In conclusion, each phytocenosis showed a particular assemblage of species as a result of local environmental phenomena. The species richness in a Revegetated area points to a possible ecological role of yeast species in environmental recovery. This study provided the first comprehensive inventory of soil yeasts in major phytocenoses in Minas Gerais, Brazil.

1. Introduction

Yeasts are a taxonomically heterogeneous group of predominantly unicellular fungi [1]. Yeast communities in soil are diverse and globally distributed [2] and are influenced by a variety of environmental factors [3,4,5,6]. In Brazil, studies on soil yeasts are still few, despite the diversity of vegetation types present, including recognized hotspots of global diversity, such as Brazilian Atlantic Forest and Neotropical Savanna. The first report on yeasts in Brazilian soils described the ecology of pathogenic yeasts in Amazonian soils [7]. Candida species were the most frequent, and several species of the genera Debaryomyces, Cryptococcus, and Rhodotorula were also encountered. Yeast communities associated with sugarcane rhizospheres during different phases of plant development were studied in Rio de Janeiro [8], demonstrating a higher portion of basidiomycetous than ascomycetous isolates. In 2002, mycocinogenic yeasts were isolated from Amazon rain forest soils, with a predominance of ascomycetous species [9]. In 2003, the presence of basidiomycetous yeasts in the corn rhizosphere was reported in senescent plants [10]. The first extensive inventory of yeasts isolated from Neotropical Savanna soils in Minas Gerais was carried out in 2013, including geographical and seasonal distribution, and enzyme production [11]. In Brazil, an effort is still required to fill the knowledge gaps regarding the diversity of yeasts in soil and the factors that influence communities. Among the factors that can influence soil yeast communities in central Brazil, human activities such as mining have been insufficiently explored.
The state of Minas Gerais, in central Brazil, has strong ties to mining activity, and iron mining is the basis of the economy of several municipalities. Mining activities in general account for 5 to 6% of Brazil’s total gross domestic product [12,13]. The state of Minas Gerais has significant mineral deposits concentrated mainly in the region known as the Iron Quadrangle (Quadrilátero Ferrífero), which occupies about 7000 km2 of the southeastern portion of the state. The region has a great species richness of vascular plants, with its vegetation cover shared between the Neotropical Savanna and Brazilian Atlantic Forest biomes. The Brazilian Atlantic forest biome is currently very degraded, being mainly represented by fragments of vegetation. The Neotropical Savanna is composed of a mosaic of phytophysiognomies, ranging from forest areas to open areas with very sparse vegetation. The prevailing hot climate in the Iron Quadrangle (Cwa—humid temperate, according to Köppen’s classification), has an average annual temperature of 20 °C, and precipitation ranging from 1300 to 2100 mm per year. The region has two well-defined seasons: dry winter and rainy summer [14].
Despite its economic importance, iron mining causes an environmental impact on soil structure with consequent reduction of organic matter and nutrients, resulting in modifications to the native vegetation and soil microbiota [15]. Recovery of mining-modified areas is critical to reestablishing biological processes within the affected ecosystem [16]. The recovery of degraded areas is usually achieved by establishing the plant community, which depends on a diverse and functional soil microbial community [17]. Brazil has legal norms that define the restoration of degraded ecosystems as closely as possible to natural conditions, or rehabilitation that restores such regions to a non-degraded state with a natural balance, which may be different from natural conditions [16]. The legal norms specify criteria for the selection of plant species, prioritizing native and autochthonous species, where non-native and non-invasive species are used only in justified cases [16]. For example, restoration with tree species in a post-bauxite mining area has provided ecological benefits, such as reduced erosion and reduced invasion by aggressive exotic grasses [18]. Some biological indicators demonstrate the successful restoration of the plant community, with similarity to reference systems in terms of taxonomic, functional, and phylogenetic diversity of plants, soil microbial communities and pollinator communities [19].
A great effort has been made to describe soil microbiota diversity in the Iron Quadrangle region in order to compare natural and disturbed ecosystems at iron mining sites. Using the same set of soil samples, several functional groups of soil microorganisms have been studied. Among common observations, diversity indexes were higher in disturbed ecosystems at iron mining sites than in natural ecosystems. The bacterial community was more diverse at an environmental recovery mining site. Proteobacteria represented the predominant phylum [20], and a greater genetic diversity of nitrogen-fixing bacteria was found in the rehabilitated area that had been revegetated with grass [21]. Arbuscular mycorrhizal fungal communities were more diverse in revegetated sites than in the adjacent original ecosystems [13,22]. The soil microbiome showed the highest values of alpha and beta diversity in revegetated sites [23]. To our knowledge there has been only one study in Brazil investigating soil yeasts in natural and disturbed ecosystems in the same iron-mining site mentioned above [24]. The yeast community in this area was composed of six genera, and Saitozyma podzolica, a typical pedobiont species, was the most common species. As noted for the other soil functional groups [13,20,21,22], yeast communities were more diverse in disturbed ecosystems at iron mining sites than in natural ecosystems. These reports provide evidence on the role of soil yeasts, with other soil functional groups, in the recovery of degraded lands.
Due to the lack of attention given to this group in Brazilian soil ecosystems, we aimed to: (a) inventory the yeast species in different phytocenoses of post-mining sites along the Neotropical savanna and Atlantic forest biomes in Minas Gerais, Brazil, (b) evaluate the yeast community’s dynamics across the seasons, and (c) characterize the relationship between the yeast communities, the vegetation type, and the basic soil physicochemical properties. We hypothesized that modifying the vegetation at the post-mining site would alter the composition of yeast communities with an increase in species richness.

2. Materials and Methods

2.1. Study Area and Sampling Design

The study areas were located near the cities of Brumadinho and Nova Lima, both within the Iron Quadrangle region, in the Minas Gerais state, Brazil. The two areas feature iron-mining sites, known as the Córrego do Feijão (Brumadinho) and Miguelão (Nova Lima) mine areas, belonging to the Vale SA Company. This region has a warm temperate climate with two well-defined seasons: dry winter (May to September) and rainy summer (October to April). The mean annual temperature and precipitation are 21 °C, and 1300 mm per year (Table 1). Soil samples were collected in four phytocenoses: Atlantic forest (AF), Iron outcrops (IO), Neotropical savanna (NS), and Revegetated (RA) areas.
Atlantic forest constitutes a seasonal semi-deciduous montane forest, part of the Brazilian Atlantic Forest, with a variety of tree species. Neotropical savanna is a savanna type of vegetation with a predominance of grasses, small trees, herbaceous, and shrubs, that are quite sparsely distributed, with trees generally isolated. Iron outcrops constitute an ecotone between Neotropical savanna and Atlantic forest, associated with mountain plateaux and superficial iron crusts where herbs, grasses, and shrubs predominate, and there may be underdeveloped trees. This ecosystem has a high rate of endemic plant species and is among the most threatened and least studied in Minas Gerais state. The Revegetated area constitutes an iron-mining site under process of rehabilitation. It is formed from slopes made with sterile tailings to stabilize the iron ore storage area (Figure 1). The rehabilitation process in the Revegetated area began in 2005, when mining activity ceased. Currently the area is dominated by grasses such as Urochloa brizantha and Panicum maximum.
The dominant soil type in the studied phytocenoses, according to the World Reference Base for Soil Resources [25], was as follows: Ferralsols and Cambisols in Brumadinho, and Plinthosols in Nova Lima. The Revegetated area soils were classified as an anthropogenic terrain. Further description of the soil characteristics has been published previously [26].
Soil samples were collected in the dry winter (August 2015) and rainy summer (January 2016). For each area, two transects were delimited, 50 to 70 m apart from each other. In each transect, five composite samples were collected (0–0.2 m depth), resulting in 10 soil samples per area in each season. A total of 80 soil samples were collected (4 sites, 2 seasons, and 10 samples) (Figure 1). Samples were placed in plastic bags and stored at 4 °C to be analyzed at the Mycology laboratory of the Department of Plant Pathology at the University of Brasília—UnB, Brasília, Brazil.
Soil chemical analyses were carried out at the Federal University of Lavras—UFLA, Brazil, according guidelines from Empresa Brasileira de Pesquisa Agropecuária—EMBRAPA [27]. Concentrations of phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), aluminum (Al), zinc (Zn), iron (Fe), manganese (Mn), copper (Cu), boron (B), sulfur (S), exchangeable acidity (H + Al), organic matter (OM), remaining phosphorus (P-rem), sand, silt, and clay were evaluated. These results were used to calculate other parameters, such as the sum of exchangeable bases (SB), cation exchange capacity at pH 7.0 (T), effective cation exchange capacity (t), aluminum saturation index (m), and base saturation index (V). The pH of all samples was also determined.

2.2. Yeast Isolation and Identification

For the isolation of cultivable yeasts, aliquots of 10 g of soil were homogenized with 50 mL of YM broth (0.3% Malt extract; 0.3% Yeast extract; 0.5% Peptone; 1% Glucose), and stirred for 16 h at 120 rpm and 28 °C. All soil samples were analyzed in three replicates, and each of the replicates was used to produce three dilutions (10−1, 10−2, and 10−3). The dilutions were plated on YM agar (0.3% Malt extract; 0.3% Yeast extract; 0.5% Peptone; 1% Glucose; 2% Agar). Sodium propionate (0.25%) and chloramphenicol (100 µg mL−1) were used to inhibit the growth of filamentous fungi and bacteria, respectively. Incubation of all plates was performed at room temperature until the growth of colonies (minimum of three days). All yeast colonies grown were selected and purified on YM agar, and differentiated into macro morphological types (color, aspect, margin) using a dissection microscope [28]. Pure cultures were cryopreserved (−80 °C) using YM broth with 25% glycerol.
DNA extraction was performed from the cell precipitate, obtained by centrifugation of the yeast culture grown in YM broth over 48 h at 28 °C under stirring, as previously described [24]. The D1/D2 domains of the ribosomal LSU (Large Ribosomal Subunit) gene were amplified by PCR, using the following universal primers: NL1 (5′-GCA TAT CAA TAA GCG GAG GAA AAG-3′) and NL4 (5′-GGT CCG TGT TTC AAG ACG G-3′) [29,30]. The PCR conditions were as follows: initial denaturation at 94 °C for 3 min, followed by 33 cycles of denaturation at 94 °C for 1 min, annealing at 56 °C for 30 s, and extension at 72 °C for a 1 min, and final extension at 72 °C for 6 min. The PCR products were treated with the Exo-SAP enzyme (Affymetrix, Inc. Cleveland, Ohio, USA) and sent for sequencing at ACTGene Molecular Analyses (Rio Grande do Sul, Brazil), using the sequencer ABI-Prism 3500 Genetic Analyzer (Applied Biosystems). For species identification, the obtained nucleotide sequences were compared with sequences deposited in the NCBI GenBank Database (www.ncbi.nih.gov), using the BLASTn algorithm [31]. The sequences of the isolates were deposited in GenBank, with the accession codes: MK110049 to MK110345.

2.3. Community Structure and Multivariate Statistics

Multivariate and community structure analyses were performed with incidence-based data (presence/absence), based on species occurrence frequency observed in the samples. The occurrence frequency was calculated as a proportion of the number of isolates of each species divided by the total number of isolates observed in each sample. Estimator-based species accumulation curves were calculated with EstimateS 9.1 [32], using default settings. Two estimators of species richness were used: Chao2 richness estimator and ICE incidence-based coverage estimator. The ICE estimator distinguishes between rare and frequent species, while Chao2 is based on the incidence of species richness [33].
Nonmetric multidimensional scale (NMDS) was used to visualize the differences between the phytocenoses, soil physicochemical properties, and the seasonal dynamics in relation to yeast community composition. NMDS is a rank-based approach, which produces an ordination based on a distance or dissimilarity matrix. The Jaccard index was used and an R test statistic (stress values) [34]. Among the soil variables (e.g., nutrient content, organic matter), those having the most significant influence on the microbial community structure were chosen by forward selection with a permutation test. The NMDS was performed with the Vegan package [35]. All the analysis was done with the R software [36].

3. Results

3.1. Soil Characterization

Soil chemical characterization (Table 2) was performed using the recommendations of the Soil Fertility Commission of the Minas Gerais state, Brazil [37]. Soils ranged from medium acidity (Revegetated area) to high acidity (Neotropical savanna, Iron outcrops, and Atlantic forest areas). Considering the content of organic matter (OM), and the cation exchange complex (Ca2+, Mg2+, Al3+, SB, H+Al, t, T, and m), as parameters related to soil fertility, all areas presented low fertility conditions, with the Revegetated area being the one with the lowest values. The Revegetated area also showed the highest values for base saturation (V), probably due to the revegetation process. Atlantic forest soils had the highest clay content, and the Iron outcrops soils had the highest sand content.
The Zn content was within the limits established for soil fertility, ranging from medium (Atlantic forest, Revegetated areas) to good (Neotropical savanna, Iron outcrops areas). Mn, Fe, and S presented the highest concentrations in the soil samples, while Iron outcrops area had the highest Fe content. Cu and B did not exceed the maximum allowed concentrations established by Brazilian environmental regulations for soil (CONAMA). The great majority of the soil attributes showed a statistically significant difference between the evaluated phytocenoses. In terms of soil physicochemical characterization, the Revegetated area was the most distinct. The soil physicochemical parameters were not significantly different between sampling seasons, as they followed the same tendency during the dry winter and rainy summer.

3.2. Yeast Diversity

A total of 295 isolates were obtained in the present study. Cultivable yeasts were detected in 57 of the 80 soil samples evaluated. The total observed richness was 37 taxa, and total richness estimation for all sites indicated by the Chao2 and ICE estimators were 43 and 56 taxa, respectively (Figure 2). The sample effort was sufficient to describe 86 and 66% of the richness estimation by Chao2 and ICE estimators respectively, in the study area.
A high number of ascomycetous species were observed (29 taxa), with all species belonging to the order Saccharomycetales. In the Basidiomycota, eight species were observed, belonging to the orders Tremellales and Sporidiobolales (Table 3). Most of the species found represented less than 10% of occurrence frequency, and nine species were represented by a single isolate (singletons) in all samples. For Candida sp. the LSU gene was not sufficient to distinguish at the species level. The isolates of the genera Schwanniomyces sp., Debaryomyces sp., Meyerozyma sp., and Torulaspora sp. represent possible new species and are already being further studied by our research team. For some ascomycetes, in addition to sequencing the ITS region, sequencing of protein-coding genes, e.g., ACT for Debaryomyces and Schwanniomyces, TEF1 for Hanseniaspora, will be required. Sequencing and analysis of other marker genes are being conducted for confirmation.

3.3. Yeast Communities by Phytocenoses

The structure of yeast communities diverged between phytocenoses. The Revegetated area showed the highest species richness (20 taxa), followed by Atlantic forest area with 17 taxa. The Iron outcrops area presented 13 taxa, and the Neotropical savanna area had 9, presenting the lowest species richness among phytocenoses (Table 3). In the Revegetated area, the most frequent species were Candida maltosa (60%), Papiliotrema laurentii (11%) and Rhodotorula mucilaginosa (6%). The other species showed a less than 5% frequency of occurrence, and nine species represented singletons. Candida maltosa was also the most frequent species detected in the Atlantic forest area (31%), followed by Schwanniomyces vanrijiae (25%) and Saitozyma podzolica (8%). In the Iron outcrops area, the most frequent species was Candida melibiosica (43%), and Candida intermedia (20%) in the Neotropical savanna area.
Four species showed a wide distribution, as they were recovered in three of the four phytocenoses (Figure 3a): Candida parapsilosis, Schwanniomyces vanrijiae, and Meyerozyma guilliermondii were found in the Atlantic forest, Iron outcrops, and the Revegetated areas. Papiliotrema laurentii was found in the Iron outcrops, Neotropical savanna, and Revegetated areas. The Atlantic forest and Revegetated areas shared the largest number of species: Candida maltosa (the most frequent species), Wickerhamomyces anomalus, Saturnispora silvae, Candida parapsilosis, Schwanniomyces vanrijiae, Meyerozyma guilliermondii, and Cutaneotrichosporon terricola. Seven species were recovered solely from the Revegetated area, including Candida glabrata, C. quercitrusa, and Lachancea kluyveri, and were represented by only one isolate.

3.4. Yeast Communities by Season

The yeast communities were similar in distribution between seasons in terms of species richness, with 23 taxa in dry winter and 24 in rainy summer (Table 3). However, the species composition differed between the observed seasons (Figure 3b). In rainy summer, Candida maltosa was the main species with the highest frequency of occurrence, followed by Schwanniomyces vanrijiae, Rhodotorula mucilaginosa, and Meyerozyma guilliermondii. The rainy summer had 14 unique species, including three red-pigmented species: Rhodotorula dairenensis, R. mucilaginosa, and R. toruloides. In dry winter, C. maltosa was the most frequent species, followed by Papiliotrema laurentii and C. melibiosica. The dry winter had 13 unique species, including C. melibiosica and Hanseniaspora uvarum. Ten species were found during both seasons (Figure 3b), including two of the most widely distributed species, namely C. maltosa and P. laurentii.

3.5. Multivariate Approach

The NMDS analysis showed a clear separation of yeast communities according to the four phytocenoses. The seasonality and soil attributes also influenced the distribution of yeast communities (Figure 4). The stress value (0.081) suggests that the data can be well represented in the 2-D ordination, preserving the original rank orders.
The micronutrients B, Mg, and P-rem, and the texture (sand and clay) were the variables with the most significant influence on the yeast community structure chosen by forward selection with the permutation test (P < 0.05). These variables explained 65% (P-rem and clay), 75% (Mg and B), and 77% (sand) of data variability. The yeast communities of the Iron outcrops and Revegetated areas seen in the rainy summer were the most similar, and positively correlated with the P-rem and sand content. The Iron outcrops area community in the dry winter was negatively correlated with the Mg content, and this ecosystem showed the lowest values for this attribute (Table 2). The clay content was positively correlated with the Atlantic forest area community, and the B content with the Neotropical savanna and Revegetated areas communities in the dry winter.

4. Discussion

The yeast community composition differed among the different phytocenoses in this study. Ascomycetous yeasts were more diverse in studied soils than basidiomycetous species, accounting for 29 and 8 species, respectively. We admit that this observation may reflect a bias in the used cultivation approach, because an enrichment step favors fermenting ascomycetous yeasts [38]. Despite the potential methodological bias, it is important to mention a few considerations. First, most of the available data on soil yeasts was obtained for boreal and temperate forests, which are generally species-poor and dominated by a dozen plant species [3,5,6]. Second, it has been demonstrated that plant communities influence soil yeast communities, e.g., grasslands and forests of different type, complexity, and heterogeneity [4]. Third, the high species diversity of plants results in high forest heterogeneity, as found in the studied Brazilian biomes. In our opinion, the high diversity of ascomycetous yeasts in the Atlantic forest and Neotropical savanna areas might reflect the high diversity and heterogeneity of the vegetation cover. Available results do not give the clear answer to the question of whether or not tropical soils in Brazil generally harbor smaller numbers of basidiomycetous yeasts. Our present study yielded soil-borne basidiomycetes, Apiotrichum laibachii, Papiliotrema laurentii, and Saitozyma podzolica. However, many other prominent soil-related types of yeast, like Solicoccozyma spp., have not been observed in this survey. It is important to study soils yeasts in other species-rich plant communities to understand whether the proportion of ascomycetous species is correlated with the great richness of vascular plants in tropical regions, including Brazil.
Thirty-seven yeast taxa were retrieved in this survey, which represents 86% and 66% of the diversity predicted by Chao2 and ICE species richness estimators, respectively (Figure 2). Our results showed that the sampling effort was sufficient to recover a fairly large proportion of the expected yeast diversity. Dissimilarities between the two predictions point to a peculiarity of the structure of soil yeast communities, namely the occurrence of frequent and rare species. The fact that the results of Chao2 estimator are lower than those of ICE indicates that a substantial proportion of species in the samples are singletons and doubletons, as noted in Table 3. This finding strengthen the fact that yeast species have an uneven distribution between samples [33], and are often detected as singletons and doubletons, in one or a few samples. Despite the aforementioned limitations of sampling and cultivation, it is important to note that our survey yielded more yeasts than previous studies in South America. Another study of yeasts in Neotropical savanna soils reported 23 yeast species [11]. In Argentina, temperate Patagonian forests yielded 18 to 28 soil yeasts [5,39]. Only one study in South America reported a higher diversity of yeasts (66 mycotoxin-producing species) from a large area of the Amazonian rainforest [9]. In Argentina, temperate Patagonian forests yielded 18 to 28 soil yeasts [5,39].
The yeast species richness was different among phytocenoses. Our results show greater species richness in the Revegetated area compared to natural ecosystems (Table 3). This finding confirms our hypothesis that the modification of the vegetation affects the composition of soil yeast communities, i.e., increased species richness in the Revegetated area following the secondary succession caused by mining activity (e.g., removal of native vegetation covers and revegetation with grasses). Higher species richness in the Revegetated area corroborates the results found for different functional groups of soil microorganisms in the iron-mining area of Brazil [13,20,21,22,23], including yeasts [24]. Our results are consistent with those reported for an area in the Brazilian Amazon rainforest, where the diversity of the soil microbial community increased after a deforestation event and forest conversion into permanent agricultural land [40]. Soil microbial communities tend to become more similar over time after the disturbance, resulting in the loss of beta-diversity [40]. Yeast communities in the Revegetated and Atlantic forest areas shared a large number of species. Since Atlantic forest area was the original vegetation before the disturbance event, these similarities may be indicating the resilience of indigenous species from the Atlantic forest biome. A high diversity of soil yeasts is expected in a biodiversity hotspot like the Atlantic forest. However, this was not the case of another native plant community, the Neotropical savanna area. We believe that lower yeast species diversity in the Neotropical savanna and Iron outcrops area is the result of unfavorable conditions for some species like high acidity, and heavy metal (aluminum and iron) content in soil conditions [12]. Nevertheless, these inhospitable soils yielded two potential new species (Schwanniomyces sp.1 and Meyerozyma sp.3), which will be further characterized by our team in more details. Overall, our results corroborate the importance of the vegetation cover as a driving force for soil yeast communities [5,13,24,41,42,43,44].
The frequency of occurrence of yeast species varied between phytocenoses. The most frequent yeast species in the present study, Candida maltosa, C. melibiosica, and C. intermedia (occurrence > 20%), are not commonly regarded as pedobiont species [38]. Species of the genus Candida were also the most frequent species detected in the Amazon rain forest [9], which is characterized by the dense vegetation and very humid climate. The frequency of fermentative yeasts (with a few exceptions ascomycetous) in tropical soils is believed to be related to predominantly hydromorphic and anoxic conditions, and the availability of simple sugars [45]. The most frequent species identified in this study was Candida maltosa in Atlantic forest (31%) and the Regevetated areas (60%). Candida maltosa has been reported as one of the most abundant in cultivated regions and soils under predominantly herbaceous vegetation [46,47,48]. Candida melibiosica was the most frequent species in the Iron outcrops area (43%), and Candida intermedia, the most frequent species in the Neotropical savanna area (20%). Other frequent species included Schwanniomyces vanrijiae, Papiliotrema laurentii, Meyerozyma guilliermondii, Rhodotorula mucilaginosa, and Saitozyma podzolica. These species are frequently reported from soils [9,49,50]. The yeast S. vanrijiae was frequent in the Atlantic forest area (25%). This species has often been associated with forest phytocenoses [4,11,38], including decaying wood in the Brazilian Atlantic Forest [51,52]. The yeast P. laurentii was frequent in the Iron outcrop (11%) and the Revegetated (11%) areas. R. mucilaginosa, which was frequent in the Neotropical savanna area (13%), is a common phylloplane yeast. Frequently found in the Neotropical savanna area (13%), Saitozyma podzolica is a typical soil-borne species inhabiting acid soils [53]. The distribution of this species has been strongly associated with aluminum content and acidity in Brazilian soils [11,24]. These abiotic soil parameters are characteristic for the Neotropical savanna area (Table 2). Meyerozyma guilliermondii is a transient species in soils. This yeast was among a few species that occurred in three phytocenoses: Iron outcrops (8%), Atlantic forest (2.7%), and the Revegetated areas (4.2%).
Our results showed yeast community dynamics in response to a seasonal climate change. The seasonal dynamics affected species frequency, but not species richness. Among species detected in the rainy summer, we frequently noticed the group of pigmented (red) yeasts, Rhodotorula toruloides and R. mucilaginosa. These yeasts represent typical phylloplane species that are introduced to the soil habitat with falling leaves (or other plant material) and running waters [54]. Only in the rainy summer were we able to detect Sugiyamaella xylolytica, a recently described from rotting wood in Brazil new species in the Sugiyamaella clade [55]. The seasonal dynamics of yeast communities in soils has been so far demonstrated mainly for red-pigmented yeasts [3,56]. Distribution of other species and ecological groups did not show a clear trend. Like in our findings, red-pigmented Rhodotorula spp. were only detected during a rainy summer, demonstrating the input of yeasts with plant material and the effects of plants on the composition of soil communities. These findings reinforce the hypothesis of the entry of new species in the soil from plant debris during the rainy summer. These species originating from the deposition of plant residues are transient species quickly eliminated (overcompetitive or attacked) in the soil [57].
The NMDS analysis demonstrated the influence of the vegetation type, seasonality, and abiotic soil parameters on the structure of yeast communities. In addition, the analysis shows that soil characteristics, such as texture (sand and clay), nutrients (phosphorus), and microelements (Mg, B) significantly affected the composition of yeast communities. The texture (measured as proportions of clay and sand) explained most of the observed variability of yeast communities between the two seasons. Our statistical analysis showed a positive correlation between electrical conductivity and clay content (Figure 4). The relation between these two parameters has already been described, and it is believed that electrical conductivity reflects a combination of two parameters, soil content (moisture) and cation exchange capacity [58]. We believe that the influence of texture on the distribution of yeasts according in the two seasons is related to soil moisture (and the water retention capacity) and availability of nutrients for the microbial community. For example, a larger proportion of clay in the soil can lead to a higher availability of nutrients [59]. The availability of micronutrients Mg, B, and P-rem affected the composition of soil yeast communities in our study. The effect of micronutrients on the distribution of yeasts in the soil is not surprising, since these nutrients are essential for their growth and metabolism. Changes of yeast community parameters in relation to soil texture, moisture, temperature, and available nutrients have been demonstrated before [11,42,50,60,61]. However, it should be noted that soil parameters that significantly affect the distribution of soil yeasts are naturally connected, directly or indirectly, and positively or negatively, reducing their contribution in the observed statistical trend.
The yeast species detected in this study have important ecological roles in the environment. For example, Candida maltosa has been shown to degrade pollutants such as hydrocarbons [48] and phenolic compounds [62], which indicates their involvement in the recovery of soils that have suffered from environmental damage. Candida melibiosica inhibited the growth of pathogenic fungi in culture [63], and C. intermedia is recognized for its capacity as a xylose-utilising yeast [64]. Some P. laurentii strains receive attention for laccase production [65]. These are enzymes associated with lignin transformation and phenolic compounds [66,67], suggesting a possible role for this species in lignin decomposition. Rhodotorula mucilaginosa has potential use as an indicator of environmental quality, mainly as a bio-indicator for heavy metal perturbations in low-nutrient soils [68]. Representatives of M. guilliermondii species have ecosystem-relevant traits, such as phosphate-solubilization [69,70], and provide insoluble nutrients in the soil microbial community [71]. These and other properties of soil yeasts point to a few possible ecological roles of these microscopic fungi in the ecosystem, including nutrient transformations, macronutrient solubilization (such as P and Ca, making them available to plants), synthesis of plant growth promoters (IAA), and antagonistic interactions with plant pathogens [2]. In South America, the importance and activity of yeasts in the decomposition of wood in Chilean rainforest was described [72,73]. Yeasts associated with wood decay are also described in the Amazonian rainforest, including several Candida species [51]. A larger taxonomic diversity of yeasts in the Revegetated area implies a larger diversity of traits and properties that can help to speed up the transformation and renaturation of the anthropogenically disturbed area. A detailed investigation of strains isolated in this study (own unpublished data) showed that they possess several traits, such as plant-growth promotion, through the production of indole acetic acid and phosphate solubilization. This observation strengthens the need for further analyses of yeast diversity and ecology for a better understanding of their roles in soil processes.
This study provided the first comprehensive inventory of soil yeasts in major phytocenoses of the Iron quadrangle region (Minas Gerais State, Brazil). Our results pointed to the importance of environmental parameters and vegetation as determinants of soil yeast community composition. Our findings also indicated a possible ecological role for yeast communities in the renaturation of anthropically disturbed areas, for example through a rapid colonization and alteration of available niches in soils. Yeast communities can be used as indicators of the quality of the environment [74]. Our results demonstrated that yeast communities in the Revegetated area are similar to those in soils under the natural vegetation, Atlantic forest community. This observation gives hope for future restoration of mining areas to a state similar to that of undisturbed habitats following a proper renaturation activity, like the one analyzed in the present study. Our results showed a positive effect of fast-growing grass species (Urochloa brizantha and Panicum maximum). These plants rapidly produce biomass that can be incorporated into the ecosystem and accelerate formation of the dense vegetation cover that prevents soil erosion.

Author Contributions

H.M.M.d.V. was involved with conceptualization, project administration, funding acquisition, manuscript preparation—review and editing. G.A.M.M. was involved with methodology, formal analysis, data curation, and writing—original draft preparation. This manuscript contains part of the results from thesis the G.A.M.M. under the supervision H.M.M.d.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by FAPEMIG (Fundação de Amparo à Pesquisa do Estado de Minas Gerais), grant number CRA-RDP 136-10. GM was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—finance code 001.

Acknowledgments

The authors are very grateful to Andrey M. Yurkov for reviewing the manuscript and providing detailed comments on an earlier draft. The authors would like to thank the coordinator of the project entitled “Diversity of plants and soil organisms with biotechnological potential and indicators of environmental impact in the state of Minas Gerais”, Dr. Fatima Maria de Souza Moreira of the Universidade Federal de Lavras—UFLA for the opportunity, and for making possible the implementation of our subproject.

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. Péter, G.; Takashima, M.; Cadez, N. Yeast Habitats: Different but Global. In Yeasts in Natural Ecosystems: Ecology; Buzzini, P., Ed.; Springer International Publishing: Cham, Switzerland, 2017; pp. 39–71. [Google Scholar]
  2. Botha, A. The importance and ecology of yeasts in soil. Soil Biol. Biochem. 2011, 43, 1–8. [Google Scholar] [CrossRef]
  3. Golubtsova, Y.V.; Glushakova, A.M.; Chernov, I.Y. The Seasonal Dynamics of Yeast Communities in the Rhizosphere of Soddy-Podzolic Soils. Eurasian Soil Sci. 2007, 40, 875–879. [Google Scholar] [CrossRef]
  4. Yurkov, A.M.; Kemler, M.; Begerow, D. Assessment of yeast diversity in soils under different management regimes. Fungal Ecol. 2012, 5, 24–35. [Google Scholar] [CrossRef]
  5. Mestre, M.C.; Fontenla, S.; Rosa, C.A. Ecology of cultivable yeasts in pristine forests in northern Patagonia (Argentina) influenced by different environmental factors. Can. J. Microbiol. 2014, 60, 371–382. [Google Scholar] [CrossRef] [PubMed]
  6. Glushakova, A.M.; Kachalkin, A.V.; Tiunov, A.V.; Chernov, I.Y. Distribution of Yeast Complexes in the Profiles of Different Soil Types. Eurasian Soil Sci. 2017, 50, 820–825. [Google Scholar] [CrossRef]
  7. Mok, W.Y.; Luizão, R.C.C.; Silva, M.S.B.; Teixeira, M.F.S.; Muniz, E.G. Ecology of Pathogenic Yeasts in Amazonian Soil. Appl. Environ. Microbiol. 1984, 47, 390–394. [Google Scholar] [CrossRef] [Green Version]
  8. De Azeredo, L.A.I.; Gomes, E.A.T.; Mendonca-Hagler, L.C.; Hagler, A.N. Yeast communities associated with sugarcane in Campos, Rio de Janeiro, Brazil. Int. Microbiol. 1998, 1, 205–208. [Google Scholar]
  9. Vital, M.; Abranches, J.; Hagler, A.; Mendonça-Hagler, L. Mycocinogenic yeasts isolated from amazon soils of the Maracá ecological station, Roraima-Brazil. Brazilian J. Microbiol. 2002, 33, 230–235. [Google Scholar] [CrossRef] [Green Version]
  10. Gomes, N.C.M.; Fagbola, O.; Costa, R.; Rumjanek, N.G.; Buchner, A.; Mendona-Hagler, L.; Smalla, K. Dynamics of Fungal Communities in Bulk and Maize Rhizosphere Soil in the Tropics. Appl. Environ. Microbiol. 2003, 69, 3758–3766. [Google Scholar] [CrossRef] [Green Version]
  11. Carvalho, F.P.; de Souza, A.C.; Magalhães-Guedes, K.T.; Dias, D.R.; Silva, C.F.; Schwan, R.F. Yeasts diversity in Brazilian Cerrado soils: Study of the enzymatic activities. Afr. J. Microbiol. Res. 2013, 7, 4176–4190. [Google Scholar] [CrossRef]
  12. Skirycz, A.; Castilho, A.; Chaparro, C.; Carvalho, N.; Tzotzos, G.; Siqueira, J.O. Canga biodiversity, a matter of mining. Front. Plant. Sci. 2014, 5, 653. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Vieira, C.K.; Marascalchi, M.N.; Rodrigues, A.V.; de Armas, R.D.; Stürmer, S.L. Morphological and molecular diversity of arbuscular mycorrhizal fungi in revegetated iron-mining site has the same magnitude of adjacent pristine ecosystems. J. Environ. Sci. 2018, 67, 330–343. [Google Scholar] [CrossRef] [PubMed]
  14. Azevedo, Ú.R.; Machado, M.M.M.; Castro, P.T.A.; Renger, F.E.; Trevisol, A.; Beato, D.A.C. Geoparque Quadrilátero Ferrífero (MG); Geoparques do Brasil /Propostas—Vol 1; CPRM: Recife/Fortaleza, Brazil, 2011; pp. 183–219. [Google Scholar]
  15. Mendes Filho, P.F.; Vasconcellos, R.L.F.; De Paula, A.M.; Cardoso, E.J.B.N. Evaluating the potential of forest species under “microbial management” for the restoration of degraded mining areas. Water Air Soil Pollut. 2010, 208, 79–89. [Google Scholar] [CrossRef]
  16. Gastauer, M.; Souza Filho, P.W.M.; Ramos, S.J.; Caldeira, C.F.; Silva, J.R.; Siqueira, J.O.; Neto, A.E.F. Mine land rehabilitation in Brazil: Goals and techniques in the context of legal requirements. Ambio 2018, 48, 74–88. [Google Scholar] [CrossRef] [PubMed]
  17. Klauber-Filho, O.; Siqueira, J.O.; Moreira, F.M.S. Fungos micorrízicos arbusculares em solos de área poluída com metais pesados. Rev. Bras. de Ciênc. do Solo 2002, 26, 125–134. [Google Scholar] [CrossRef]
  18. Silva, K.D.A.; Martins, S.V.; Neto, A.M.; Demolinari, R.D.A.; Lopes, A.T. Restauração Florestal de uma Mina de Bauxita: Avaliação do Desenvolvimento das Espécies Arbóreas Plantadas. Floresta Ambient. 2016, 23, 309–319. [Google Scholar] [CrossRef] [Green Version]
  19. Gastauer, M.; Silva, J.R.; Caldeira Junior, C.F.; Ramos, S.J.; Souza Filho, P.W.M.; Neto, A.E.F.; Siqueira, J.O. Mine land rehabilitation: Modern ecological approaches for more sustainable mining. J. Clean Prod. 2018, 172, 1409–1422. [Google Scholar] [CrossRef]
  20. Fernandes, C.C.; Kishi, L.T.; Lopes, E.M.; Omori, W.P.; Souza, J.A.M.; Alves, L.M.C.; Lemos, E.G.M. Bacterial communities in mining soils and surrounding areas under regeneration process in a former ore mine. Braz. J. Microbiol. 2018, 49, 489–502. [Google Scholar] [CrossRef]
  21. Castro, J.L.; Souza, M.G.; Rufini, M.; Azarias, A.; Rodrigues, T.L.; Moreira, F.M.D.S. Diversity and Efficiency of Rhizobia Communities from Iron Mining Areas Using Cowpea as a Trap Plant. Rev. Bras. Cienc. Solo 2017, 41, 1–20. [Google Scholar] [CrossRef] [Green Version]
  22. Teixeira, A.F.S.; Kemmelmeier, K.; Marascalchi, M.N.; Sturmer, S.L.; Carneiro, M.A.C.; Moreira, F.M.D.S. Arbuscular mycorrhizal fungal communities in an iron mining area and its surroundings: Inoculum potential, density, and diversity of spores related to soil properties. Ciênc. Agrotecnologia 2017, 41, 511–525. [Google Scholar] [CrossRef]
  23. Vieira, C.K.; Borges, L.G.A.; Marconatto, L.; Giongo, A.; Stürmer, S.L. Microbiome of a revegetated iron-mining site and pristine ecosystems from the Brazilian Cerrado. Appl. Soil Ecol. 2018, 131, 55–65. [Google Scholar] [CrossRef]
  24. Moreira, G.A.M.; Vale, H.M.M. Occurrence of Yeast Species in Soils under Native and Modified Vegetation in an Iron Mining Area. Rev. Bras. de Cienc. do Solo 2018, 42, 1–15. [Google Scholar] [CrossRef]
  25. IUSS Working Group WRB. World Reference Base for Soil Resources (WRB), 2015. Available online: http://www.fao.org/3/a-i3794e.pdf (accessed on 9 July 2020).
  26. Coelho, M.R.; Vasques, G.M.; Tassinari, D.; Souza, Z.R.; Oliveira, A.P.; Moreira, F.M.S. Solos do Quadrilátero Ferrífero sob Diferentes Coberturas Vegetais e Materiais de Origem. Embrapa Solos Bol. de Pesqui. e Desenvolv. 2017, 130. [Google Scholar]
  27. Donagema, G.K.; Campos, D.V.B.; Calderano, S.B.; Teixeira, W.G.; Viana, J.H.M. Manual de Métodos de Análise do solo, 2nd ed.; Centro Nacional de Pesquisa de Solos: Rio de Janeiro, Brazil, 2011. [Google Scholar]
  28. Dias, D.R.; Schwan, R.F. Isolamento e identificação de leveduras. In Manual de Biologia dos Solos Tropicais: Amostragem e Caracterização da Biodiversidade; Moreira, F.M.S., Huising, E.J., Bignell, D.E., Eds.; UFLA: Lavras, Brail, 2010; pp. 227–277. [Google Scholar]
  29. Kurtzman, C.P.; Robnett, C.J. Identification and phylogeny of ascomycetous yeasts from analysis of nuclear large subunit (26S) ribosomal DNA partial sequences. Antonie van Leeuwenhoek 1998, 73, 331–371. [Google Scholar] [CrossRef]
  30. Fell, J.W.; Boekhout, T.; Fonseca, A.; Scorzetti, G.; Statzell-Tallman, A. Biodiversity and systematics of basidiomycetous yeasts as determined by large-subunit rDNA D1/D2 domain sequence analysis. Int. J. Syst. Evol. Micrbiol. 2000, 50, 1351–1371. [Google Scholar] [CrossRef]
  31. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  32. Colwell, R.K.; Mao, C.X.; Chang, J.; Chang, X.M.; Chang, J. Interpolating, Extrapolating, and Comparing Incidence-Based Species Accumulation Curves. Ecology 2004, 85, 2717–2727. [Google Scholar] [CrossRef] [Green Version]
  33. Yurkov, A.M.; Kemler, M.; Begerow, D. Species accumulation curves and incidence-based species richness estimators to appraise the diversity of cultivable yeasts from beech forest soils. PLoS ONE 2011, 6. [Google Scholar] [CrossRef]
  34. Kuramae, E.E.; Yergeau, E.; Wong, L.C.; Pijl, A.S.; Van Veen, J.A.; Kowalchuk, G.A. Soil characteristics more strongly influence soil bacterial communities than land-use type. FEMS Microbiol. Ecol. 2012, 79, 12–24. [Google Scholar] [CrossRef] [Green Version]
  35. Oksanen, J.; Blanchet, F.G.; Friendly, M.; Kindt, R.; Legendre, P.; Mcglinn, D.; Minchin, P.R.; O’Hara, R.B.; Simpson, G.L.; Solymos, P.; et al. Vegan: Community ecology package, R Package version 24-1; 2016. Available online: https://cran.r-project.org/web/packages/vegan/vegan.pdf (accessed on 20 June 2020).
  36. The R Development Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2017. [Google Scholar]
  37. Alvarez, V.V.H.; Novais, R.F.; Barros, N.F.; Cantarutti, R.B.; Lopes, A.S. Interpretação dos resultados das análises de solos. In Recomendações Para o uso de Corretivos e Fertilizantes em Minas Gerais—5a Aproximação; Ribeiro, A.C., Guimarães, P.T.G., Alvarez, V.V.H., Eds.; Viçosa, MG: Comissão de Fertilidade do Solo Do Estado de Minas Gerais; CFSEMG: Viçosa, Brazil, 1999; pp. 25–32. [Google Scholar]
  38. Yurkov, A. Yeasts in Forest Soils. In Yeasts in Natural Ecosystems: Diversity; Buzzini, P., Lachance, M., Yurkov, A., Eds.; Springer International Publishing: Cham, Switzerland, 2017; pp. 87–116. [Google Scholar] [CrossRef]
  39. Mestre, M.C.; Rosa, C.A.; Safar, S.V.B.; Libkind, D.; Fontenla, S.B. Yeast communities associated with the bulk-soil, rhizosphere and ectomycorrhizosphere of a Nothofagus pumilio forest in northwestern Patagonia, Argentina. FEMS Microbiol. Ecol. 2011, 78, 531–541. [Google Scholar] [CrossRef]
  40. Rodrigues, J.L.M.; Pellizari, V.H.; Mueller, R.; Baek, K.; Jesus, E.C.; Paula, F.S.; Mirza, B.; Hamaoui, G.S.; Tsai, S.M.; Feigl, B.; et al. Conversion of the Amazon rainforest to agriculture results in biotic homogenization of soil bacterial communities. Proc. Natl. Acad. Sci. USA 2013, 110, 988–993. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Maksimova, I.A.; Chernov, I.Y. Community structure of yeast fungi in forest biogeocenoses. Microbiology 2004, 73, 474–481. [Google Scholar] [CrossRef]
  42. Masínová, T.; Bahnmann, B.D.; Vetrovský, T.; Tomsovský, M.; Merunková, K.; Baldrian, P. Drivers of yeast community composition in the litter and soil of a temperate forest. FEMS Microbiol. Ecol. 2017, 93, 1–10. [Google Scholar] [CrossRef] [PubMed]
  43. Harantová, L.; Mudrák, O.; Kohout, P.; Elhottová, D.; Frouz, J.; Baldrian, P. Development of microbial community during primary succession in areas degraded by mining activities. Land Degrad. Dev. 2017, 28, 2574–2584. [Google Scholar] [CrossRef]
  44. Yurkov, A.M.; Chernov, I.Y.; Tiunov, A.V. Influence of Lumbricus terrestris earthworms on the structure of the yeast community of forest litter. Microbiology 2008, 77, 107–111. [Google Scholar] [CrossRef]
  45. Dunthorn, M.; Kauserud, H.; Bass, D.; Mayor, J.; Mahé, F. Yeasts dominate soil fungal communities in three lowland Neotropical rainforests. Environ. Microbiol. Rep. 2017, 9, 668–675. [Google Scholar] [CrossRef]
  46. Sláviková, E.; Vadkertiová, R. The diversity of yeasts in the agricultural soil. J. Basic Microbiol. 2003, 43, 430–436. [Google Scholar] [CrossRef]
  47. Vadkertiová, R.; Sláviková, E. Metal tolerance of yeasts isolated from water, soil and plant environments. J. Basic Microbiol. 2006, 46, 145–152. [Google Scholar] [CrossRef]
  48. Chrzanowski, Ł.; Kaczorek, E.; Olszanowski, A. The Ability of Candida Maltosa for Hydrocarbon and Emulsified Hydrocarbon Degradation. Pol. J. Environ. Stud. 2006, 15, 47–51. [Google Scholar]
  49. Jaiboon, K.; Lertwattanasakul, N.; Limtong, P.; Limtong, S. Yeasts from peat in a tropical peat swamp forest in Thailand and their ability to produce ethanol, indole-3-acetic acid and extracellular enzymes. Mycol. Prog. 2016, 15, 755–770. [Google Scholar] [CrossRef]
  50. Yurkov, A.M.; Oliver, R.; Pontes, A.; Carvalho, C.; Maldonado, C.; Sampaio, P. Local climatic conditions constrain soil yeast diversity patterns in Mediterranean forests, woodlands and scrub biome. FEMS Yeast Res. 2016, 16, 1–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Cadete, R.M.; Melo, M.A.; Dussán, K.J.; Rodrigues, R.C.L.B.; Silva, S.S.; Zilli, J.E.; Vital, M.J.S.; Gomes, F.C.O.; Lachance, M.A.; Rosa, C.A. Diversity and physiological characterization of D-xylose-fermenting yeasts isolated from the Brazilian Amazonian Forest. PLoS ONE. 2012, 7, e43135. [Google Scholar] [CrossRef]
  52. Morais, C.G.; Cadete, R.M.; Uetanabaro, A.P.T.; Rosa, L.H.; Lachance, M.-A.; Rosa, C.A. D-xylose-fermenting and xylanase-producing yeast species from rotting wood of two Atlantic Rainforest habitats in Brazil. Fungal Genet. Biol. 2013, 60, 19–28. [Google Scholar] [CrossRef]
  53. Yurkov, A.; Wehde, T.; Kahl, T.; Begerow, D. Aboveground deadwood deposition supports development of soil yeasts. Diversity 2012, 4, 453–474. [Google Scholar] [CrossRef]
  54. Mannazzu, I.; Landolfo, S.; Lopes, T.; Buzzini, P. Red yeasts and carotenoid production: Outlining a future for non-conventional yeasts of biotechnological interest. World J. Microbiol. Biotechnol. 2015, 31, 1665–1673. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Sena, M.F.; Morais, C.G.; Lopes, M.R.; Santos, R.O.; Uetanabaro, A.P.T.; Morais, P.B.; Vital, M.J.S.; De Morais, M.A.; Lachance, M.A.; Rosa, C.A. D-Xylose fermentation, xylitol production and xylanase activities by seven new species of Sugiyamaella. Antonie van Leeuwenhoek 2017, 110, 53–67. [Google Scholar] [CrossRef]
  56. Sláviková, E.; Vadkertiová, R. The occurrence of yeasts in the forest soils. J. Basic Microbiol. 2000, 40, 207–212. [Google Scholar] [CrossRef]
  57. Yurkov, A.M. Yeasts of the soil—obscure but precious. Yeast 2018, 35, 369–378. [Google Scholar] [CrossRef] [Green Version]
  58. Domsch, H.; Giebel, A. Estimation of Soil Textural Features from Soil Electrical Conductivity Recorded Using the EM38. Precis. Agric. 2004, 5, 389–409. [Google Scholar] [CrossRef]
  59. Vreulink, J.-M.; Esterhuyse, A.; Jacobs, K.; Botha, A. Soil properties that impact yeast and actinomycete numbers in sandy low nutrient soils. Can. J. Microbiol. 2007, 53, 1369–1374. [Google Scholar] [CrossRef]
  60. Richter, A.; Schöning, I.; Kahl, T.; Bauhus, J.; Ruess, L. Regional environmental conditions shape microbial community structure stronger than local forest management intensity. For. Ecol. Manage. 2018, 409, 250–259. [Google Scholar] [CrossRef]
  61. Vishniac, H.S. A multivariate analysis of soil yeasts isolated from a latitudinal gradient. Microb. Ecol. 2006, 52, 90–103. [Google Scholar] [CrossRef] [PubMed]
  62. Fialová, A.; Boschke, E.; Bley, T. Rapid monitoring of the biodegradation of phenol-like compounds by the yeast Candida maltosa using BOD measurements. Int. Biodeter. Biodegr. 2004, 54, 69–76. [Google Scholar] [CrossRef]
  63. Kordowska-wiater, M.; Wagner, A.; Hetman, B. Efficacy of Candida melibiosica for control of post-harvest fungal diseases of carrot (Daucus carota L.). Acta Sci. Pol. 2012, 11, 55–65. [Google Scholar]
  64. Gárdonyi, M.; Osterberg, M.; Rodrigues, C.; Spencer-Martins, I.; Hahn-Hägerdal, B. High capacity xylose transport in Candida intermedia PYCC 4715. FEMS Yeast Res. 2003, 3, 45–52. [Google Scholar]
  65. Ikeda, R.; Sugita, T.; Jacobson, E.S.; Shinoda, T. Laccase and Melanization in Clinically Important Cryptococcus Species Other than Cryptococcus neoformans. J. Clin. Microbiol. 2002, 40, 1214–1218. [Google Scholar] [CrossRef] [Green Version]
  66. Eichlerová, I.; Homolka, L.; Zifcáková, L.; Lisá, L.; Dobiásová, P.; Baldrian, P. Enzymatic systems involved in decomposition reflects the ecology and taxonomy of saprotrophic fungi. Fungal Ecol. 2014, 3, 10–22. [Google Scholar] [CrossRef]
  67. Masinová, T.; Yurkov, A.; Baldrian, P. Forest soil yeasts: Decomposition potential and the utilization of carbon sources. Fungal Biol. 2018, 34, 10–19. [Google Scholar] [CrossRef]
  68. Vreulink, J.M.; Stone, W.; Botha, A. Effects of small increases in copper levels on culturable basidiomycetous yeasts in low-nutrient soils. J. Appl. Microbiol. 2010, 109, 1411–1421. [Google Scholar] [CrossRef]
  69. Nakayan, P.; Hameed, A.; Singh, S.; Young, L.S.; Hung, M.H.; Young, C.C. Phosphate-solubilizing soil yeast Meyerozyma guilliermondii CC1 improves maize (Zea mays L.) productivity and minimizes requisite chemical fertilization. Plant. Soil. 2013, 373, 301–315. [Google Scholar] [CrossRef]
  70. Sarabia, M.; Cazares, S.; González-Rodríguez, A.; Mora, F.; Carreón-Abud, Y.; Larsen, J. Plant growth promotion traits of rhizosphere yeasts and their response to soil characteristics and crop cycle in maize agroecosystems. Rhizosphere 2018, 6, 67–73. [Google Scholar] [CrossRef]
  71. Botha, A. Yeasts in soil. In Biodiversity and ecophysiology of yeasts; Rosa, C.A., Péter, G., Eds.; Springer: Heidelberg, Germany, 2006; pp. 221–240. [Google Scholar]
  72. Ramirez, C.; González, A. Five new filamentous, glucose-fermenting Candida isolated from decayed wood in the evergreen rainy Valdivian forest of southern Chile Carlos. Mycopathologia 1984, 92, 83–92. [Google Scholar] [CrossRef]
  73. González, A.E.; Martínez, A.T.; Almendros, G.; Grinbergs, J. A study of yeasts during the delignification and fungai transformation of wood into cattle feed in Chilean rain forest. Antonie van Leeuwenhoek 1989, 236, 221–236. [Google Scholar] [CrossRef] [PubMed]
  74. Hagler, A.N. Yeasts as Indicators of Environmental Quality. In Biodiversity and Ecophysiology of Yeasts; Rosa, C.A., Péter, G., Eds.; Springer International Publishing: Cham, Switzeralnd, 2006; pp. 515–533. [Google Scholar]
Microorganisms 08 01116 g001 550
Figure 1. Geographical location of studied areas, sampling points, and phytocenoses.
Figure 1. Geographical location of studied areas, sampling points, and phytocenoses.
Microorganisms 08 01116 g001
Microorganisms 08 01116 g002 550
Figure 2. Estimator-based species accumulation curves obtained with the incidence-based coverage (ICE) and Chao2 estimators for total set samples. Sobs represents the species richness observed in the data set.
Figure 2. Estimator-based species accumulation curves obtained with the incidence-based coverage (ICE) and Chao2 estimators for total set samples. Sobs represents the species richness observed in the data set.
Microorganisms 08 01116 g002
Microorganisms 08 01116 g003 550
Figure 3. Yeast species composition by phytocenoses (a), and seasonality (b). NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas.
Figure 3. Yeast species composition by phytocenoses (a), and seasonality (b). NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas.
Microorganisms 08 01116 g003
Microorganisms 08 01116 g004 550
Figure 4. Nonmetric multidimensional scaling (NMDS) plot tracking community similarity by phytocenoses and seasonality. NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas. Soil variables (permutation test < 0.05)—Mg: magnesium, B: boron, P-rem: remaining phosphorus, EC: electrical conductivity, and texture (sand, clay).
Figure 4. Nonmetric multidimensional scaling (NMDS) plot tracking community similarity by phytocenoses and seasonality. NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas. Soil variables (permutation test < 0.05)—Mg: magnesium, B: boron, P-rem: remaining phosphorus, EC: electrical conductivity, and texture (sand, clay).
Microorganisms 08 01116 g004
Table
Table 1. Geographical characteristics of phytocenoses sampled in the Iron Quadrangle region, Minas Gerais, Brazil. NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas.
Table 1. Geographical characteristics of phytocenoses sampled in the Iron Quadrangle region, Minas Gerais, Brazil. NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas.
Geographical CharacteristicsPhytocenoses
NSIOAFRA
LocalityNova LimaNova LimaBrumadinhoBrumadinho
Latitude20°6′42″S20°6′52″S20°9′4″S20°9′35″S
Longitude43°57′28″W43°57′27″W44°8′47″W44°9′5″W
Annual Rainfall (mm)1390139013251325
Mean Annual Temperature (°C)21.021.021.321.3
Impact levelNone to lowNone to lowNone to lowHigh
Table
Table 2. Mean values of the chemical and physical properties of the soils at different phytocenoses, in two climate seasons (winter and summer), in the Iron Quadrangle, Minas Gerais, Brazil.
Table 2. Mean values of the chemical and physical properties of the soils at different phytocenoses, in two climate seasons (winter and summer), in the Iron Quadrangle, Minas Gerais, Brazil.
Soil Physicochemical Parameters aNeotropical SavannaIron OutcropsAtlantic ForestRevegetated Area
WinterSummerWinterSummerWinterSummerWinterSummer
pH (H2O)4.974.664.724.464.213.915.65.36
K (mg dm−3)72.6 a83.8 a56.8 a64.0 a75.6 a78.0 a88.2 a85.2 a
P (mg dm−3)1.363 b1.623 b1.595 b2.275 b2.151 b2.125 b1.66 b3.626 a
Ca2+ (cmolc dm−3)0.91 a1.15 a1.28 a1.476 a0.99 a1.146 a0.75 a1.154 a
Mg2+ (cmolc dm−3)0.38 a0.461 a0.24 a0.269 a0.45 a0.506 a0.3 a0.364 a
Al3+ (cmolc dm−3)1.56 a1.65 a0.85 b0.79 b1.9 a1.86 a0.09 c0.12 c
H+Al (cmolc dm−3)15.46 b21.41 a12.64 b22.01 a12.26 b18.53 a1.94 c2.64 c
SB (cmolc dm−3)1.478 a1.826 a1.665 a1.909 a1.633 a1.852 a1.276 a1.737 a
t (cmolc dm−3)3.03 b3.47 a2.51 b2.69 b3.53 a3.71 a1.36 c1.85 c
T (cmolc dm−3)16.92 b23.24 a14.31 b23.92 a13.89 b20.38 a3.21 c4.38 c
V (%)12.72 b10.79 b13.56 b10.86 b13.64 b11.17 b40.73 a40.10 a
m (%)46.13 a46.42 a33.78 b29.15 b59.30 a56.81 a6.76 c7.27 c
OM (g kg−1)83.02 a82.35 a75.87 a80.8 a49.48 b48.04 b13.87 c12.44 c
P-rem (mg/L)4.56 d7.65 d12.61 c20.10 a11.02 c16.51 b11.03 c20.10 a
Zn (mg dm−3)3.136 a3.129 a3.292 a3.443 a1.927 b1.687 b1.608 b2.137 b
Fe (mg dm−3)134.53 b149.05 b403.73 a401.78 a124.79 b136.04 b150.81 b85.32 b
Mn (mg dm−3)112.29 a107.40 a88.88 a72.45 b40.76 b45.62 b103.99 a86.93 a
Cu (mg dm−3)0.799 b0.293 b0.57 b0.357 b0.809 b0.561 b2.14 a1.917 a
B (mg dm−3)0.202 a0.122 b0.266 a0.123 b0.201 a0.102 b0.154 b0.106 b
S (mg dm−3)36.29 b21.33 d26.58 c15.02 d29.06 b20.19 d45.14 a31.08 b
Clay (g kg−1)376 b362 b214 c193 c456 a478 a249 c240 c
Silt (g kg−1)243 a275 a174 b183 b188 b178 b262 a277 a
Sand (g kg−1)381 c363 c612 a624 a356 c344 c489 b483 b
EC (mS/cm)0.061 b0.21 a0.052 b0.057 b0.228 a0.182 a0.027 b0.088 b
a Means followed by the same letter do not differ from each other. The Scott–Knott test was applied at 5% probability. K: Potassium, P: Phosphorus, Ca: Calcium, Mg: Magnesium, Al: Aluminum, H + Al: total acidity, SB: sum of exchangeable bases, t: effective cation exchange capacity, T: cation exchange capacity at pH 7, V: saturation index of bases, m: saturation index of aluminum, OM: organic matter, P-rem: remaining phosphorus, Zn: Zinc, Fe: Iron, Mn: Manganese, Cu: Copper, B: Boron, S: Sulfur, and EC: electrical conductivity.
Table
Table 3. Occurrence frequency of yeasts in soils from different phytocenoses, in two distinct seasons. S(obs): observed species richness, si: singletons, do: doubletons. NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas.
Table 3. Occurrence frequency of yeasts in soils from different phytocenoses, in two distinct seasons. S(obs): observed species richness, si: singletons, do: doubletons. NS: Neotropical savanna, IO: Iron outcrops, AF: Atlantic forest, and RA: Revegetated areas.
Yeast SpeciesGenBank
Reference		Frequency (%)
PhytocenosesSeasonality
NSIOAFRAWinterSummer
Ascomycota
Saccharomycetales
Candida maltosaKJ159031 316043.7040.00
Candida melibiosicaKY106567 43 11.85
Candida parapsilosisMG871743 11si2.4 5.63
Candida pseudolambicaKY106707 5.3 2.96
Candida neerlandicaNG054776 do Do
Candida sanyaensisNG054829 si Si
Candida intermediaMG81586320 si2.96
Diutina rugosaHE716783do do
Candida edaphicusAB247371si si Do
Candida insectorumJN544058 si si
Candida quercitrusaKY996729 sisi
Candida glabrataMG859667 si Si
Candida sp. (Kurtzmaniella clade)MG833304 sido 1.88
Schwanniomyces vanrijiaeNG054865 si25sido11.88
Schwanniomyces polymorphusKY109623do do 2.96
Schwanniomyces sp.1LN909492 si Si
Debaryomyces sp.2NG055699si sido
Meyerozyma guilliermondiiKY952849 8do4.2si6.88
Meyerozyma sp.3KY952849 si 1.82.22Si
Barnettozyma californicaMG707647 6.7 do1.88
Hanseniaspora uvarumKP990659 33.70
Pichia kudriavzeviiMF769603 2.42.22Si
Kodamaea ohmeriKY684049sido siDo
Wickerhamomyces anomalusMF769591 dosisiDo
Torulaspora delbrueckiiMH010872 si Si
Torulaspora sp.4KY109871 1.8 1.88
Sugiyamaella xylolyticaKF889433 do Do
Saturnispora silvaeMG707692 sisi Do
Lachancea kluyveriKY108237 sisi
Basidiomycota
Tremellales
Papiliotrema laurentiiKY037816si11 1112.594.38
Saitozyma podzolicaKX903051do 8 do3.75
Apiotrichum laibachiiJQ672597 si si
Apiotrichum loubieriKY106137 si si
Cutaneotrichosporon terricolaFJ527226 sisido
Sporidiobolales
Rhodotorula mucilaginosaKY744132do 6 7.50
Rhodotorula toruloidesKF971831 si do 1.88
Rhodotorula dairenensisKY108994 do Do
S (obs) 91317202324
Singletons (si) 486986
Doubletons (do) 416267

Share and Cite

MDPI and ACS Style

Monteiro Moreira, G.A.; Martins do Vale, H.M. Soil Yeast Communities in Revegetated Post-Mining and Adjacent Native Areas in Central Brazil. Microorganisms 2020, 8, 1116. https://doi.org/10.3390/microorganisms8081116

AMA Style

Monteiro Moreira GA, Martins do Vale HM. Soil Yeast Communities in Revegetated Post-Mining and Adjacent Native Areas in Central Brazil. Microorganisms. 2020; 8(8):1116. https://doi.org/10.3390/microorganisms8081116

Chicago/Turabian Style

Monteiro Moreira, Geisianny Augusta, and Helson Mario Martins do Vale. 2020. "Soil Yeast Communities in Revegetated Post-Mining and Adjacent Native Areas in Central Brazil" Microorganisms 8, no. 8: 1116. https://doi.org/10.3390/microorganisms8081116

APA Style

Monteiro Moreira, G. A., & Martins do Vale, H. M. (2020). Soil Yeast Communities in Revegetated Post-Mining and Adjacent Native Areas in Central Brazil. Microorganisms, 8(8), 1116. https://doi.org/10.3390/microorganisms8081116

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