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. 2024 Oct 10;19(10):e0311781. doi: 10.1371/journal.pone.0311781

Impact of mixed-species forest plantations on soil mycobiota community structure and diversity in the Congolese coastal plains

Lydie-Stella Koutika 1,2,*, Arthur Prudêncio de Araujo Pereira 3, Alessia Fiore 4, Silvia Tabacchioni 4, Manuela Costanzo 4, Luciana Di Gregorio 4, Annamaria Bevivino 4,*
Editor: Tunira Bhadauria5
PMCID: PMC11469602  PMID: 39388424

Abstract

Mixed tree plantations containing nitrogen (N2)-fixing species have the potential to enhance C sequestration, soil biodiversity and forest productivity. Here, we investigated the impact of Acacia mangium and Eucalyptus urophilla x E. grandis mixed plantations in the Congolese coastal plains on soil mycobiota community structure and diversity by ITS metabarcoding sequencing and bioinformatic analysis. Higher Faith’s phylogenetic diversity and Evenness’ was found in Eucalyptus monoculture relative to stands containing Acacia. Differences in beta diversity were found among Eucalyptus and Acacia monoculture, and mixed-species stands highlight the effects of plant species on fungal community structure. Ascomycota, Basidiomycota and Rozellomycota phyla were predominant in all stands, with both Dikarya (Ascomycota and Basidiomycota) accounting for more than 70% in all stands. Correlation analysis revealed that sulfur (S) was the most correlated soil attribute with the three predominant phyla but also with Mucoromycota and Calcarisporiellomycota phyla, although mostly negatively correlated (4 out of 5). Phosphorus was mostly positively correlated to soil attributes (3 out of 4) and nitrogen was correlated twice, positively and negatively. Distance-based redundancy analysis revealed a positive correlation of nitrogen (p-value = 0.0019, contribution = 22%) and phosphorus (p-value = 0.0017, contribution = 19%) with soil mycobiota. A high prevalence of generalists (28% to 38%) than specialists (9% to 24%) were found among the different sites. In stands containing Acacia (pure and mixed species) the soil mycobiota harbor the prevalence of generalist strategies with the potential to withstand environmental stresses and utilize a higher number of resources against specialists in Eucalyptus stands. Stronger positive correlation between soil attributes and main fungal taxa, higher generalists’ strategies and lower Faith’s phylogenetic diversity and Evenness were reported in stands containing Acacia. This highlights the potential of mixed-species in preserving community stability following environmental disturbances and increasing the number of resources confirming their important ecological role in boosting the resilience of the forest ecosystems to climate and land-use (plant species as shown by PCA analysis) changes.

1. Introduction

Fungi are a vital part of soil microbiomes and perform important functions in forest ecosystems, playing a key role in ecological and biogeochemical processes as decomposers, mutualists, and pathogens [1, 2]. Also, they can act as ecosystem managers by influencing soil structure and physiological processes, and biological regulators, decomposers, and transformers of organic matter [37]. Fungi facilitate C sequestration through C translocation into the soil aggregates reducing respiratory activity [8] or low priming effect and high nutrient availability [9]. They sequester C in soil from atmosphere via C absorption in their hyphae enabling symbiosis with plant roots [6]. Due to their diversity and functional contributions, they play a crucial role in forest ecosystems, particularly in the C-cycle, thereby exerting an important influence on the ecological environment [1012].

Fungi are interconnected with other soil organisms, and changes in fungal activities will affect the entire soil ecosystem [4, 10, 1214]. Boreal forests harbour the highest levels of soil fungal diversity and richness, while subtropical and tropical forests have the lowest ones. Temperate forests fall in between, showing an intermediate level of diversity [12]. Yet, the fungal community function is crucial in forest ecosystems [4, 10, 12, 14]. It is well known that harvesting and establishing forest plantations affect soil fungi community and composition [4, 15]. In addition to the crucial functions mentioned above, advances in laboratory techniques, the impact of planted forests replacing areas previously used for agriculture and livestock in most cases in Brazil [4, 16, 17], or afforesting (monoculture or mixed-species) native savannas in current case, on fungal communities are receiving increasing attention in the tropics.

Extensive afforestation of native tropical savannas in the Congolese coastal plains has been undertaken, (reaching an overall forested area of around 42.000 ha composed of tropical pines, eucalyptus and acacias in the 2000s), to meet the demand for wood (both in industrial and rural communities), preserve natural forests, mitigate the effects of global warming, and utilize soils unsuitable for agriculture [18]. Amongst them, mixed-species plantations of Eucalyptus spp. and Acacia spp. were established to improve soil fertility and sustain productivity and meet the growing demand for wood fiber for industry and fuel-wood energy for the local population [1921]. This practice was found to have a significant impact on below-ground biogeochemical cycling, primarily by inducing changes in the structure of bacterial communities [22]. Moreover, in Brazil, it was observed that intercropping of Acacia mangium and Eucalyptus in planted forests significantly increased fungal diversity and richness [4]. Rachid et al. [16] found that intercropping of Acacia mangium and Eucalyptus in planted forests significantly increased the number of fungal genera as well as the frequency compared with those found in monoculture plantations. Mixed forest plantations with Eucalyptus spp. and Acacia spp. regulate the fungal physiological and ecological connections such as fungal richness, diversity, and community complexity and especially the relationship to available P in soil and forest litter [4]. The authors identified forest litter as a vital niche of the fungal community, especially Basidiomycota in boosting P cycling in forest ecosystems. A key role of the forest floor in securing the P cycle (immobilization in organic forms) and reducing its losses via leaching in Acacia and Eucalyptus plantations has been also highlighted [23]. This shows that the interactions between plants, microorganisms, and soil, driven by soil mycobiota, can boost soil functions e.g., sustaining the P demand of the ecosystem and enabling C sequestration to further improve soil health.

In a previous study, although the Actinobacteria predominated in all stands, we identified a shift in the bacterial community in stands containing Acacia relative to Eucalyptus with the dominance of Proteobacteria in pure Eucalyptus against Firmicutes in stands containing Acacia [22]. A correlation between the microbial community structure and soil attributes was found, suggesting the important role of soil bacterial community in nutrient cycling in the mixed-species forest plantations. However, the impact of mixed-species plantations on soil mycobiota is still understudied in the forest plantations established in the Congolese coastal plains. This study therefore addresses the hypothesis that mixed-species forest plantations of Acacia and Eucalyptus (monoculture or mixed-species stands) do impact on fungal community as already observed in Brazil [4, 16]. Here, we investigated the impact of mixed-species forest plantations on the soil mycobiota community structure and diversity on the sandy and nutrient-poor soils in the Congolese coastal plains.

2. Materials and methods

2.1. Ethics statements

The field work was carried out at 35 km from Pointe-Noire in a plateau nearby Tchissoko village (4°44’41” S & 12°01’51” E, 100 m a.s.l) in the Republic of Congo. Soil was carried out in the frame of the Intens&fix Project (ANR-2010-STRA-004-03) under the consent of CRDPI (Centre de Recherchesur la Durabilité et la Productivité des Plantations Industrielles) owning the experimental trial. The responsible of the study was Dr. Lydie-Stella Koutika (CRDPI, Local responsible of the project Intens&Fix in Congo). We confirm that our study did not harm the environment and did not involve endangered or protected species.

2.2. Site description

The studied site has been previously described in detail [22, 24]. Afforestation using Eucalyptus hybrids on native tropical savanna dominated by the C4 Poaceae Loudetia arundinacea (Hochst.) Steud. occurred in 1984. Soils are Ferralic Arenosols and have a low content of C, N, and P [25, 26]. The area has a subequatorial climate with an average annual precipitation (1200 mm), a 4 month-long dry season (June to September), and the high mean annual air humidity and temperature (85% and 25°C, respectively).

Trials (at a density of 800 trees ha-1) were installed on a complete randomized block design in May 2004. The trials consisted of three blocks, each composed of three stands; a monoculture stand of Acacia mangium (100A), a monoculture stand of Eucalyptus urophylla × E. grandis (100E), and a mixed-species stand [50% of Acacia and 50% of Eucalyptus (50A50E)]. The first rotation ended in January 2012 (7 years) and the second rotation was established in March 2012 on the same design. As described in Koutika et al. [22], soils were collected with an auger at 0–5 cm, the layer harboring higher soil organic matter (SOM) content, and mesofauna density and richness at 5 years into the second rotation. A stand comprised 100 trees (10×10) including 36 trees in an inner part on an area of 1250 m2 and two buffer rows. The spacing between rows was 3.75 m, with 3.33 m between the trees in a row. Three transects in 100A and 100E stands and six in 50A50E stands were set up in the inner part of each stand, starting at the base of a tree and ending in the center of the area delimited by four trees. Three cores were sampled on each transect; each sampling point being separated by 0.7 m from the next along each transect. Nine samples were collected in the 100A and 100E stands and 18 in the 50A50E stands with nine samples collected near an Acacia, noted 50A50E (near acacia), and nine others near a Eucalyptus, noted 50A50E (near Euca) in each of the three blocks, as previously described [22, 24]. The total number of sampling points was 27 (9×3 blocks) in 100A and 100E and 54 (18×3 blocks) in 50A50E. Soil samples were air-dried and sieved at 4 mm. A composite sample was made from three samples of the transect in each stand. Three composite samples of Acacia (100 A) and Eucalyptus (100 E) monoculture and 6 mixed-species (50 A 50 E) stands were obtained by block, i.e., 12 samples per block and a total of 36 samples for 3 studied blocks. Soil samples for chemical analyses have been stored in soil laboratory with constant temperature for one year, whereas samples for molecular analyses were stored at -20°C in the ENEA C.R. Casaccia (Rome, Italy) until further processing.

2.3. Total carbon, nitrogen, sulfur, and available phosphorus analyses

From the 36 collected composite soil samples (3 technical replicates by sample) the above-mentioned analyses have been made using the Macro VARIO Cube Elemental Analyzer (Elementar-Straße 1, D-63505 Langenselbold, Germany) to determine the concentrations of C, N, and S. Available P, also called resin-P, was evaluated using anion exchange resins strips (BDH#551642S, 20 mm × 60 mm). Dried and sieved soils (0.5 g) in 30 mL distilled water and 2 anion exchange resin strips were shaken for 16 h (100 revs min-1). After being rinsed with water, the adsorbed phosphate from resin was recovered following elution with 30 mL of 0.5 M HCl. Phosphate was determined according to the method of Tiessen and Moir [27].

2.4. DNA extraction and ITS metabarcoding sequencing

The extraction of genomic DNA was performed using the QIAGEN’s DNeasy PowerSoil Pro Kit according to the manufacturer’s instruction (QIAGEN Group, Hilden, Germany). A total of 36 samples were analyzed. Concentration of extracted DNA was evaluated with a Thermo Scientific™ NanoDrop 2000 spectrophotometer and Qubit 2.0 fluorometer (Invitrogen, Life technologies). The A260/A280 and A260/A230 ratios for DNA samples were > 1.8. The quality and integrity of DNA were checked through 1% agarose gel electrophoresis with 1X Tris Acetate EDTA buffer (Sigma-Aldrich) and GelRed (0.5 μL mL−1) staining. DNA was visualized, and photo-documented under ultraviolet light on Bio Red Molecular Imager ChemiDoc TM XRS+, US. Amplicon libraries of soil mycobiota were generated by amplifying the internal transcribed spacer 1 and 4 using primers ITS1 (5´-TCC GTA GGT GAA CCT TGC GG-3´) and ITS4 (5´-TCC TCC GCT TAT TGA TAT GC-3´) [28] and a subsequent amplification that integrates relevant flow-cell binding domains and unique indices (NexteraXT Index Kit, FC‐131‐1001/FC‐131‐1002) using MiSeq Reagent V3 kit (Illumina, Catalog No. MS-102-3003). Sequencing was performed using Illumina MiSeq platform using 300PE v3 chemistry and 300 Paired Ends strategy at IGA Technology Services srl (Udine, Italy) (https://igatechnology.com).

2.5. Bioinformatics and statistics analysis

Raw data processing was realized following the DADA2 ITS Pipeline Workflow (1.8) [29]. The taxonomy assignment was performed against the UNITE database (v. 9.0) [30]. Samples were subsequently rarefied at 18,843 reads per sample to normalize read counts across samples. Afterwards, a non-chimeric table of amplicon sequence variants (ASVs) was converted into a ‘phyloseq’ object [31] into R-studio software (v. 2023.03.0).

To determine the differences in the soil fungal community structure between the Eucalyptus and Acacia species in monoculture and mixed-species, PERMANOVA analysis was performed. Beta-diversity was performed to describe distribution and similarity between sampling groups. Alpha (Pielou evenness and phylogenetic diversity) and beta diversity were calculated, and histograms with the ten and the twenty most abundant phyla and fungi families, respectively, were constructed. To test differences between alpha diversity metrics, Kruskal-Wallis test was adopted. To investigate the association between the relative abundance of fungi taxonomic groups and soil properties, Spearman’s rank correlation coefficients were computed utilizing the ‘multtest’ package in R. Correction for multiple testing was performed using the Benjamini–Hochberg false discovery rate (FDR). Visualization of the correlations was achieved through the creation of a heatmap using the ‘corrplot’ package in R, with significant (P < 0.05) positive correlations depicted in blue and negative correlations in red. The relationship between soil attributes and fungal communities in different soil samples was also analyzed by distance-based redundancy analysis (db-RDA) [32].

The determination of niche occupancy, denoting the proportion of generalists and specialists within each treatment, was conducted through the multinomial species classification method employing the ’vegan’ package in R, specifically utilizing the ’clamtest’ function [33]. A significance level of 0.05 and a coverage limit of 10 were set for individual tests. This analytical approach compares the abundance of microbial communities across different environments, categorizing microbes into distinct groups such as specialists, generalists, and those considered too rare. To evaluate the complexity of community interactions, network analysis was carried out. SparCC correlations were computed, with only correlations deemed significant (p < 0.01) and strong (> 0.9 or < - 0.9) being retained [34]. In network analyses each ASV was represented as a node, such that an edge between two nodes implies a relationship between the two corresponding ASVs. The ratio of positive-negative relationships was calculated simply as the number of positively weighted edges divided by the number of negatively weighted edges. Visualization of the networks and calculation of their topological properties were performed using the interactive platform Gephi. A Principal Coordinates Analysis (PCoA) based on the UniFrac distance matrixes was performed to visualize the variations in fungal community structure [3537].

3. Results

3.1. Alpha- and beta-diversity

Statistical analysis revealed no significant differences for Faith’s phylogenetic diversity in pairwise comparison among the different stands (p >0.05) (Fig 1A and S1 Table). When Pielou Evenness is estimated, alpha-diversity shows higher values in the Eucalyptus monoculture (100E) stands than in stands containing Acacia i.e., monoculture (100A; p = 0,0017), soil samples near Acacia (50A50E near Acacia) (p = 0,0015) and near Eucalyptus (50A50E (near Euca) (p = 0,0009) in mixed-species plantation stands (Fig 1A and S1 Table).

Fig 1.

Fig 1

Alpha-(A) and Beta-diversity (B) of fungal communities in a sandy soil under mixed-species of Acacia and Eucalyptus plantations at 5 years into the second rotation in the Congolese coastal plains; 100% Acacia = Acacia monoculture stands; 100% Euca = Eucalyptus monoculture stands; 50A50E (near Euca) = soil sampled near Eucalyptus of mixed stands; 50A50E (near Acacia) = soil sampled near Acacia of mixed stands. a) The line inside the box represents the median, while the whiskers represent the lowest and highest values within the 1.5 interquartile range (IQR). The width of the distribution of points was proportionate to the number of points at that Y value. b) Principal component analysis (PCA) of fungal communities. Samples are colored according to the plant species and mixed plantations.

PCA analysis revealed a clear separation of fungal communities in 100E from stands containing Acacia, suggesting the effects of plant species on fungal community structure (Fig 1B). This is confirmed by the statistical analysis reported in S2 Table highlighting a significant difference in fungal beta diversity in mixed-species compared to single stands i.e., (50A50E (near Acacia) vs.100A and 50A50E (near Euca) vs. 100E). Overall, the conversion from monocultures to mixed-species forest plantations affected soil fungal community structure and diversity.

3.2. Relative abundance of phyla and families

The relative abundance at the phylum level shows that overall, Ascomycota was dominant (around 60%) followed by Basidiomycota (around 17%) and at a very lower extent by Rozellomycota (2%) (Fig 2A).

Fig 2.

Fig 2

Relative abundance of phyla (A) and families (B) in a sandy soil under mixed-species of Acacia and Eucalyptus plantations at 5 years into the second rotation in the Congolese coastal plains. 100% Acacia = Acacia monoculture stands; 100% Euca = Eucalyptus monoculture stands; 50A50E (near Acacia) = soil sampled near Acacia in mixed plantations; 50A50E (near Euca) = soil sampled near Eucalyptus in mixed plantations. Other: unclassified taxa and other fungal phyla with low amplicon sequence variants (ASVs) abundance.

Both Dikarya (Ascomycota and Basidiomycota) account for more than 80% in 100A and 50A50E (near Acacia), and more than 70% in 100E and 50A50E (near Euca). A higher prevalence of Ascomycota is observed in 100A (66%), and a lower prevalence in 100E (58%) (Fig 2A). In stands containing Acacia, the relative abundance of Ascomycota ranges between 66% (100A) and 62% in [50A50E (near Acacia)], 65% in [50A50E (near Euca)] as intermediate values. The second most dominant phylum, i.e., Basidiomycota represents around 17% of total relative abundance in all stands containing Acacia (monoculture and mixed) and 16% in 100E. The relative abundance of other phyla represents 18% in 100E, 12%, in 50A50E (near Acacia), 10% in 50A50E (near Euca) and 8% in 100A stands (Fig 2A). On the contrary, the lower relative abundance of the unidentified is apparent in 100E (5%) and higher 7% for both 100A and 50A50E (near Acacia) stands.

Aspergillaceae is the prevalent family accounting for 56% of the family total relative abundance in 100A, 40% in 50A50E (near Acacia), 34% in 100E and only 28% in 50A50E (near Euca) (Fig 2B). The second most dominant family is Geminibasidiaceae covering over 40% of total relative abundance with 48% in 50A50E (near Euca), 43% in 100E, 33% in 50A50E (near Acacia) and only 26% in 100A. Cortinariaceae is the third most represented family with 16% in 50A50E (near Euca), 15% in 50A50E (near Acacia) and less than 10% of total relative abundance in both monocultures (6% in 100E and 4% in 100A) (Fig 2B). The family harboring the fourth most prevalent relative abundance is Lipomycetaceae with 3% in 100E and 50A50E (near Acacia), 2% 50A50E (near Euca) and only 1% in 100A. Since there were too many unclassified ASVs, further levels were not considered in this study.

3.3. Correlation between phyla, families, and soil attributes

Sulfur (S) is the soil attribute showing the greatest number of correlations with phyla; it is negatively correlated with member of the phyla Ascomycota, Rozellomycota, Mucoromycota and Calcarisporiellomycota and positively correlated with Basidiomycota (Fig 3A). Phosphorus (P) is positively correlated with Mortierellomycota, Mucoromycota and Glomeromycota and negatively with Basidiomycota. Nitrogen (N) is negatively correlated with Glomeromycota and positively correlated with Entomophthoromycota. No correlation is found for carbon (C) at phylum level (Fig 3A). Ascomycota, Rozellomycota and Mucoromycota are positively correlated with C/S, while Chytridiomycota is also positively correlated with C/N.

Fig 3.

Fig 3

Correlation matrix of Spearman scores between soil attributes and dominant phyla (A) and families (B) that are significantly (P = 5%) correlated, either positively or negatively. The values of correlation coefficients are indicated according to the scale bar. Positive correlations are shown in blue while negative correlations are shown in red. The asterisks represent a significant correlation.

Spearman scores show that P is the soil attribute that is linked seven families, i.e., positively to five (Geminibasidiaceae, Hydnodontaceae, Sporormiaceae, Archaeeorhizomycetaceae and Mortierellaceae, and negatively to two (Thermoascaceae, Ganodermataceae) (Fig 3B). Six families are correlated with N, i.e., positively (Helotiaceae, Myxotrichaceae and Testudinaceae) and negatively (Botryosphaeriaceae. Thermoascaceae, Nectriaceae). Both C and S are each correlated with only 3 families. Carbon is correlated positively with Aspergillaceae and Myxotrichaceae, and negatively with Trimorphomycetaceae. S is positively correlated with Lipomycetaceae, Microascaceae and Sympoventuriaceae (Fig 3B). Despite correlation found between other soil attributes and ratio (C, S, C/N and C/S), according to the distance-based redundancy analysis (db-RDA), only nitrogen (p-value = 0.0019, contribution = 22%) and phosphorus (p-value = 0.0017, contribution = 19%) were the soil properties contributing more significantly to changes in fungal community structure and diversity (Fig 4).

Fig 4. Correlation between soil chemical attributes (phosphorus, C/N, nitrogen, sulfur, and carbon) and soil mycobiota composition by distance-based Redundancy Analysis (db-RDA).

Fig 4

3.4. Niche occupancy and networks

The microbial niche occupancy analysis revealed a higher proportion of generalists (28%-38%) respect to specialists (9%-24%). A range of 28% to 35% of fungi are rare. More importantly, Eucalyptus monoculture plantations (100% Euca) showed a higher number of specialists (24,7% of fungal ASVs) than Acacia stands alone (15.6%) (P<0.05). A few specialists dominated fungal communities of the soils in mixed stand plantations; i.e., 12.5% in 50A50E (near Euca) and 9% in 50A50E (near Acacia) (Fig 5A). When comparing 100% Euca and mixed-species plantations (near Acacia), an increased proportion of generalists (38%) was found while decreasing the proportion of specialist microbes in 50A50E near Acacia (Fig 5A).

Fig 5.

Fig 5

Niche occupancy (A) and networks (B) in sandy soil under mixed species of Acacia and Eucalyptus plantations at 5 years into the second rotation. 100% Acacia = Acacia monoculture stands; 100% Euca = Eucalyptus monoculture stands; 50A50E (near Acacia) = soil samples near Acacia (50A50E (near Acacia) in mixed plantations; 50A50E (near Euca) = soil samples near Eucalyptus in mixed plantation; Black and grey: rare and generalists, respectively. Blue, Orange, and Red: specialists in 100% Euca Green: specialists in 100% Acacia Purple: specialists in 50%A50%E near Euca Yellow: specialists in 50%A50%E near Acacia.

The fungal ecological network analysis revealed differences when comparing mixed-species with the respect to monoculture stands. An extensively interconnected fungal community was found in 100% Euca, presenting a higher number of nodes (61), edges (140), positive (107) and negative (34) correlations compared to the other sites (Fig 5B).

4. Discussion

The soil mycobiota is considered as a key factor in the ecological functions of forests through the provision of resources for plant nutrition and productivity [38]. Nitrogen-fixing species (Acacia mangium) introduced to sustain Eucalyptus plantations and improve soil fertility did affect soil mycobiota community structure and diversity of the mixed-species forest plantations. The current study aimed to shed light on the role of fungi in driving soil functions and fertility and fostering adaptation and resilience to land-use and climate changes.

4.1. Effect of mixed-species plantations on soil fungal community structure and diversity

Differences in alpha and beta diversity were found among Eucalyptus and Acacia monoculture, and mixed-species stands. A higher Faith’s phylogenetic diversity, which reflects the sum of all branch lengths on the constructed phylogenetic tree from all taxa (alpha-diversity), was found in Eucalyptus monoculture compared to stands containing Acacia. In addition, Eucalyptus monoculture harbors a distinct fungal community as shown by beta-diversity analysis, which revealed more negative correlations and negative edges. Our result is in accordance with Rachid et al. [16] who reported an enhanced number of fungal genera and their frequency in monoculture plantations in intercropped Acacia mangium and Eucalyptus plots. It is well known that microbial generalist and specialists showed a different contribution to the community diversity [39]. Generalist fungi are characterized by stochastic processes, higher diversification and transition rates enabling them to play an important role in preserving community stability following environmental disturbances [39]. They also shape the fungal community structure and are adaptable to various environmental conditions [40]. On the contrary, specialists are expected to contribute more to deterministic processes (e.g., biotic and abiotic environmental filtering) and are more sensitive to environmental variations and support the soil microbial ecosystem functions [41]. Our results revealed a high prevalence of generalists (28% to 38%) than specialists (9% to 24%) among the different sites. Niche occupancy analysis revealed that mixed-species plantations favored generalists over specialists. Our findings suggest that mixed-species plantations potentially increase the ability of soil mycobiota to withstand environmental stress, favoring its pivotal role in enhancing soil ecological stability [39, 42]. This finding may also be related to the higher ratio of positive to negative edges reported in mixed-species plantation near Acacia (53/12 = 4,42), followed by those in Acacia monoculture (76/18 = 4.22), whereas the ratio was 107/34 = 3,14 in Eucalyptus monoculture and the lowest in mixed plantation near Eucalyptus (71/26 = 2.73). It is well known that the positive correlation could indicate cooperative interactions or the presence of common biological functions or ecological niche between taxa. On the contrary, negative correlations could be indicative of either competitive interactions or non-overlapping ecological niches or processes between taxa. The highest percentage of specialists in Eucalyptus monoculture suggests that this condition preserves more keystone species and their connectivity, as revealed by the greater number of nodes in the site under the former vegetation; however, these nodes displayed higher negative connections. This outcome implies potential competition between keystone species, which could potentially compromise the functionality of the soil [43]. In addition, decomposition rate of Eucalyptus leaf litter poor in nitrogen and lignin is lower that of Acacia containing high content of nitrogen and water-soluble carbon [44]. This may involve the formation of a more diversified fungal community distinct in Eucalyptus relative to those in stands containing Acacia. Fungi are the main decomposers of plant material, primarily the lignocellulosic components, which are relatively recalcitrant to bacteria [45], as they produce oxidative enzymes enabling the decomposition of the recalcitrant biopolymers of plant litter [46, 47].

Overall, fungal communities in stands containing Acacia relative to Eucalyptus harbor distinct fungal communities and lower Faith’s phylogenetic diversity. In a study conducted on the same samples, bacterial communities were found to be distinct in Eucalyptus stands from those of stands containing Acacia through the higher bacterial richness and Faith’s phylogenetic diversity [22]. The current study reports even a more connected fungal community structure in Eucalyptus monoculture reflecting stability in microbial communities [48, 49]. This is in line with our hypothesis which highlights the effect of stand type (monoculture or mixed-species stands) on fungal community structure and diversity. Although it is not clear whether richness of host plants affects local ectomycorrhizal fungi species richness as shown elsewhere [43], it is probably related to different factors, such as soil properties, plant distribution and dispersion capacity and size of the fungal species inhabiting the environment. Species richness does not explain by itself the richness variation of ectomycorrhizal fungi in complex environments, but there is a strong effect plant species in shaping ectomycorrhizal fungi community, defined as the ‘host effect’. This effect could be more intense in sites with low plant diversity [50].

Relative abundance of Ascomycota was higher in stands containing Acacia relative to Eucalyptus. This finding is in line with Rachid et al. [16] who found that that the plant type had a major effect on the soil fungal community structure in the forestry system. The prevalence of Dikarya (Ascomycota and Basidiomycota) in all examined stands i.e., over 70% are in accordance with other studies (4,12). Ascomycota and Basidiomycota are commonly the two dominant phyla in tropical forests (up to half of the fungal community) [51] and temperate forest [1] ecosystems, or for instance in tea plantations converted from forest [40]. The occurrence of Ascomycota in the studied afforested stands in the Congolese coastal plains may be due to the ability of this phylum to degrade organic substrates such as wood, leaf litter, etc. [52, 53]. Egidi et al. [52] reported patterns and ecological drivers of dominant soil fungal taxa occurrence worldwide. Ascomycota taxa dominate the soil fungal community because they possess greater potential to adaptation to various environmental conditions [52]. Mayer et al. [54] stated that although Ascomycota taxa are less efficient in decomposing SOM than Basidiomycota, they produce hydrolyzing enzymes which decompose SOM. A higher relative abundance of Ascomycota in more fertile plots with enhanced SOM decomposition was observed [54]. The prevalence of Ascomycota (mainly ectomycorrhizae) in stands containing Acacia may also be related to high C storage [55], N status [56] and higher available P in the forest floor [23], previously reported in this site. Acacia and Eucalyptus plantations support a particular niche of fungal communities which encourage and stimulate release of available P in the litter layer, thereby enhancing the relationship between fungi and nutrient cycling [4, 12]. Aspergillaceae, an ectomycorrhizal fungi family, is dominant in all stands, while the Geminibasidiaceae family has higher relative abundance in stands containing Acacia (Fig 2B). Mixed-species plantations often harbor different functional fungi which are involved in soil nutrient cycling [57]. This may be linked to changes reported in soil attributes (C, N, P) in the current studied Acacia and Eucalyptus plantations [24, 25, 56].

4.2. How do forest plantations impact fungal communities?

Anthropogenic activities such as land-use change (afforestation) may have induced swift changes in the bacterial and fungal communities [4, 58]. Fungi can enhance soil organic carbon (SOC) dynamics (C storage) and nutrient cycling [4, 5, 8, 9, 59]. Fungi are widely acknowledged as more effective decomposers of recalcitrant organic materials compared to bacteria, owing to their broad enzymatic capabilities and specialized metabolic pathways [44]. Although no significant correlation between Ascomycota and C was found study at phylum level, we found a strong positive correlation between the total C, C/P and C/S of the soil and the Myxotrichaceae family. Saprophytic ascomycetes belonging to this family has been isolated from decaying logs in the boreal forest [60] and are able to degrade cellulose and tannic acid having the potential to cause significant mineralization of carbon in bogs [61]. Studies conducted on bacterial communities revealed only four Spearman correlations (at phylum level) i.e., two between S and Actinobacteria and Chloroflexi and another two between C and Chloroflexi and Planctomycetes [22]. The link between fungi and soil attributes is more evident confirming fungi as key players in boosting soil fertility e.g. by their role in the C-cycle, but also in driving the relationship between soil fertility, ecological environment, humans, and human activities [10, 12, 36].

Spearman correlations revealed that S is the soil attribute showing the greatest number of correlations (five) between fungi and phyla including Ascomycota, and Mycoromycota, although mainly negatively (4 out of 5). Phosphorus which showed correlations with four phyla, mainly positively (3 out of 4), including Mycoromycota, ranked second. Galitskaya et al. [62] reported a high prevalence of Mycoromycota, and a continuous increase in Ascomycota against a decrease in Basiomycota abundance in a 30-day experiment of oil-polluted soils. At the family level, P was ranked first with seven correlations (5 positive out of 7) while S had only three although all positive. Fungal species able to degrade lignin, hemicellulose and cellulose may dominate thanks to their nonspecific enzymes enabling aromatic compounds degradation, as suggested by Galitskaya et al. [62]. This study highlighted the influence of mixed-species forest plantations in the Congolese coastal plains on soil fungal community structure and diversity and their relation to soil attributes. The impact on fungi is important as highlighted by a stronger correlation with soil attributes as shown by correlations for S (4 negative out of 5), P (3 positive out of 4), and N (one positive and one negative).

Overall, our results underscore the interplay between fungi-driven biotic and abiotic components of soil habitat, as well as the potential influence of human activities on soil attributes and the environment. Mixed-species stands seem to engender soil mycobiota which enhance the potential to withstand environmental stress, involving greater link to soil attributes, mainly S, although mainly negatively, P and N than bacterial communities. Enhanced N status was the main benefit of introducing nitrogen-fixing species in Eucalyptus plantations. Nitrogen is closely linked to P which is needed for the symbiotic fixation of atmospheric nitrogen. Phosphorus is strongly correlated to fungi and mainly positively. It is also the second most correlated soil attribute at the phylum level after S and first at family level. Sulfur (S) is the soil attribute harboring a higher correlation at phylum level including Ascomycota, the prevalent phyla, and Mycoromycota, negatively correlated to both. The potential impact of the above-mentioned anthropogenetic activities on soil mycobiota and environment needs to be further investigated as well as their implications for ecosystem health and sustainability. Studies in taxonomic and functional composition of soil mycobiota and microbiomes, and their link to soil fertility and environment, should be conducted in other areas of the country.

Supporting information

S1 Table. Faith’s phylogenetic diversity and Pielou Evenness p-values obtained from of Kruskal-Wallis test of fungal communities in a sandy soil under mixed-species of Acacia and Eucalyptus plantations at 5 years into the second rotation in the Congolese coastal plains.

(DOCX)

pone.0311781.s001.docx (16.9KB, docx)
S2 Table. Pairwise Permanova results of fungal communities in a sandy soil under mixed-species of Acacia and Eucalyptus plantations at 5 years into the second rotation in the Congolese coastal plains.

(DOCX)

pone.0311781.s002.docx (15.9KB, docx)

Acknowledgments

The authors warmly thank the staff of CRDPI, Pointe-Noire, Republic of the Congo for their contribution during the establishment of the experimental trial and soil sampling, G. Aprea for the submission to Sequence Read Archive (SRA) of high throughput sequencing data, and M. Iannetta (Head of the ENEA “Sustainable AgriFood Systems”- Division) and the colleagues of the project SUS-MIRRI.IT (https://www.sus-mirri.it) for helpful discussion.

Data Availability

Raw sequence data reported in this study have been deposited in the National Center for Biotechnology Information (NCBI) “Sequence Read Archive” (SRA) of the National Center for Biotechnology Information (NCBI), under project accession number PRJNA967507.

Funding Statement

L.S.K. received funding by the project Ecological Intensification of Plantation Forest Ecosystems (Intens&fix, Agence Nationale de la Recherche, France /Projet-ANR-10-STRA-0004) and by Moët Hennessy, France (LVMH1WLSF2022). Moët Hennessy, France (LVMH1WLSF2022) funded soil analyses (ITS metabarcoding sequencing). A.B. received funding by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 862695 (EJP SOIL) and the Italian project “Creazione di un HUB italiano a support della partecipazione dell’Italia alla Global Soil Partnership ed alla rete di eccellenza europea sulla ricerca sul suolo–SOIL-HUB”, granted by the Italian Ministry of Agricultural, Food and Forestry Policies (CUP C52F18000200006). 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.Buée M, Reich M, Murat C, Morin E, Nilsson RH, Uroz S, et al. 454 Pyrosequencing analyses of forest soils reveal an unexpectedly high fungal diversity. New Phytologist. 2009;184(2): 449–56. doi: 10.1111/j.1469-8137.2009.03003.x [DOI] [PubMed] [Google Scholar]
  • 2.Brinkmann N, Schneider D, Sahner J, Ballauff J, Edy N, Barus H, et al. Intensive tropical land use massively shifts soil fungal communities. Sci Rep. 2019;9(1): 3403. doi: 10.1038/s41598-019-39829-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Li N N, Xu YZ, Han XZ, He HB, Zhang XD, Zhang B. Fungi contribute more than bacteria to soil organic matter through necromass accumulation under different agricultural practices during the early pedogenesis of a Mollisol. Eur J Soil Biol. 2015;67: 51–58. [Google Scholar]
  • 4.Pereira AP de A, Santana MC, Zagatto MRG, Brandani CB, Wang JT, Verma JP, et al. Nitrogen-fixing trees in mixed forest systems regulate the ecology of fungal community and phosphorus cycling. Science of the Total Environment. 2021;758: 143711. doi: 10.1016/j.scitotenv.2020.143711 [DOI] [PubMed] [Google Scholar]
  • 5.Fall AF, Nakabonge G, Ssekandi J, Founoune-Mboup H, Apori SO, Ndiaye A, et al. Roles of arbuscular mycorrhizal fungi on soil fertility: Contribution in the improvement of physical, chemical, and biological properties of the soil. Front Fungal Biol. 2022;3: 723892. doi: 10.3389/ffunb.2022.723892 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hannula SE, Morriën E. Will fungi solve the carbon dilemma? Geoderma 2022;413: 115767. [Google Scholar]
  • 7.Žifčáková L, Větrovský T, Howe A, Baldrian P. Microbial activity in forest soil reflects the changes in ecosystem properties between summer and winter. Environ Microbiol. 2016;18(1): 288–301. doi: 10.1111/1462-2920.13026 [DOI] [PubMed] [Google Scholar]
  • 8.Zhu YG, Miller RM. Carbon cycling by arbuscular mycorrhizal fungi in soil-plant systems. Vol. 8, Trends in Plant Science. 2003; 8(9): 407–409. doi: 10.1016/s1360-1385(03)00184-5 [DOI] [PubMed] [Google Scholar]
  • 9.Fontaine S S, Henault C, Aamor A, Bdioui N, Bloor JMG, Maire V, et al. Fungi mediate long term sequestration of carbon and nitrogen in soil through their priming effect. Soil Biol Biochem. 2011;43(1): 86–96. [Google Scholar]
  • 10.Baldrian. Forest microbiome: Diversity, complexity and dynamics. FEMS Microbiol Rev. 2017;41(2): 109–130. doi: 10.1093/femsre/fuw040 [DOI] [PubMed] [Google Scholar]
  • 11.Mercado-Blanco J, Abrantes I, Caracciolo AB, Bevivino A, Ciancio A, Grenni P, et al. Belowground microbiota and the health of tree crops. Front Microbiol. 2018;9: 1006. doi: 10.3389/fmicb.2018.01006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Li X, Qu Z, Zhang Y, Ge Y, Sun H. Soil fungal community and potential function in different forest ecosystems. Diversity. 2022;14: 520. [Google Scholar]
  • 13.Yang T, Adams JM, Shi Y, He JS, Jing X, Chen L, et al. Soil fungal diversity in natural grasslands of the Tibetan Plateau: associations with plant diversity and productivity. New Phytologist. 2017;215(2): 756–765. doi: 10.1111/nph.14606 [DOI] [PubMed] [Google Scholar]
  • 14.Li Y, Li Y, Chang SX, Liang X, Qin H, Chen J, et al. Linking soil fungal community structure and function to soil organic carbon chemical composition in intensively managed subtropical bamboo forests. Soil Biol Biochem. 2017;107: 19–31. [Google Scholar]
  • 15.Mueller RC, Rodrigues JLM, Nüsslein K, Bohannan BJM. Land use change in the Amazon rain forest favours generalist fungi. Funct Ecol. 2016;30(11): 1845–1853. [Google Scholar]
  • 16.Rachid CTCC Balieiro FC, Fonseca ES Peixoto RS, Chaer GM Tiedje JM, et al. Intercropped silviculture systems, a key to achieving soil fungal community management in eucalyptus plantations. PLoS One. 2015;10(2): e0118515. doi: 10.1371/journal.pone.0118515 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Silveira JGd Oliveira Neto SNd, Canto ACBd Leite FFGD, Cordeiro FR Assad LT, et al. Land use, land cover change and sustainable intensification of agriculture and livestock in the Amazon and the Atlantic forest in Brazil. Sustainability. 2022; 14(5): 2563. [Google Scholar]
  • 18.Koutika LS, Matondo R, Mabiala-Ngoma A, Tchichelle VS, Toto M, Madzoumbou JC, et al. Sustaining forest plantations for the United Nations’ 2030 Agenda for sustainable development. Sustainability. 2022;14: 14624. [Google Scholar]
  • 19.Bouillet JP, Laclau JP, Gonçalves JL de M, Voigtlaender M, Gava JL, Leite FP, et al. Eucalyptus and Acacia tree growth over entire rotation in single- and mixed-species plantations across five sites in Brazil and Congo. For Ecol Manage. 2013; 301: 89–101. [Google Scholar]
  • 20.Epron D, Nouvellon Y, Mareschal L, Moreira RM e., Koutika LS, Geneste B, et al. Partitioning of net primary production in Eucalyptus and Acacia stands and in mixed-species plantations: Two case-studies in contrasting tropical environments. For Ecol Manage. 2013; 301: 102–111. [Google Scholar]
  • 21.Koutika LS. Afforesting savannas with Acacia mangium and eucalyptus improves P availability in Arenosols of the Congolese coastal plains. Geoderma Regional. 2019; 16: e00207. [Google Scholar]
  • 22.Koutika LS, Fiore A, Tabacchioni S, Aprea G, Pereira APA, Bevivino A. Influence of Acacia mangium on soil fertility and bacterial community in Eucalyptus plantations in the congolese coastal plains. Sustainability. 2020;12(21): 8763. [Google Scholar]
  • 23.Koutika LS, Cafiero L, Bevivino A, Merino A. Organic matter quality of forest floor as a driver of C and P dynamics in acacia and eucalypt plantations established on a Ferralic Arenosols, Congo. For Ecosyst. 2020; 7: 40. [Google Scholar]
  • 24.Koutika LS, Mareschal L. Acacia and eucalypt change P, N and C concentrations in POM of Arenosols in the Congolese coastal plains. Geoderma Regional. 2016;7(2): 153–158. [Google Scholar]
  • 25.Koutika LS, Epron D, Bouillet JP, Mareschal L. Changes in N and C concentrations, soil acidity and P availability in tropical mixed acacia and eucalypt plantations on a nutrient-poor sandy soil. Plant Soil. 2014; 379: 205–216. [Google Scholar]
  • 26.Koutika LS, Mareschal L, Epron D. Soil P availability under Eucalypt and Acacia on Ferralic Arenosols, republic of the Congo. Geoderma Regional. 2016;7(2): 153–158. [Google Scholar]
  • 27.Tiessen H, Moir JO. Characterization of available P by sequential extraction. In: Soil sampling and methods of analysis. Edited by Carter MR, Gregorich EG. Lewis Publishers, Boca Raton.1993. pp. 75–86. [Google Scholar]
  • 28.Tajiki F, Asgari HM, Zamani I, Ghanbari F. Assessing the relationship between airborne fungi and potential dust sources using a combined approach. Environ Sci Pollut Res. 2022;29(12): 17799–17810. doi: 10.1007/s11356-021-17028-x [DOI] [PubMed] [Google Scholar]
  • 29.Callahan BJ. GitHub. 2019. DADA2 ITS Pipeline Workflow (1.8). [Google Scholar]
  • 30.Nilsson RH, Larsson KH, Taylor AFS, Bengtsson-Palme J, Jeppesen TS, Schigel D, et al. The UNITE database for molecular identification of fungi: Handling dark taxa and parallel taxonomic classifications. Nucleic Acids Res. 2019;47(D1): D259–D264. doi: 10.1093/nar/gky1022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.McMurdie PJ, Holmes S. Phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLOS ONE 2013; 8(4): e61217. doi: 10.1371/journal.pone.0061217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Legendre P, Andersson MJ. Distance-based redundancy analysis: Testing multispecies responses in multifactorial ecological experiments. Ecol Monogr. 1999; 69(1): 1–24. [Google Scholar]
  • 33.Chazdon RL, Chao A, Colwell RK, Lin SY, Norden N, Letcher SG, et al. A novel statistical method for classifying habitat generalists and specialists. Ecology. 2011;92(6): 1332–1343. doi: 10.1890/10-1345.1 [DOI] [PubMed] [Google Scholar]
  • 34.Friedman J, Alm EJ.J., Alm EJ. Inferring correlation networks from genomic survey data. PLOS Comput Biol. 2012; 8(9): 1002687. doi: 10.1371/journal.pcbi.1002687 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ramette A. Multivariate analyses in microbial ecology. FEMS Microbiology Ecology. 2007;62(2). 142–160. doi: 10.1111/j.1574-6941.2007.00375.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Vázquez- Baeza Y, Pirrung M, Gonzalez A, Knight R. EMPeror: A tool for visualizing high-throughput microbial community data. Gigascience. 2013; 2(1): 16. doi: 10.1186/2047-217X-2-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26(19): 2460–2461. doi: 10.1093/bioinformatics/btq461 [DOI] [PubMed] [Google Scholar]
  • 38.Elíades LA, Cabello MN, Pancotto V, Moretto A, Ferreri NA, Saparrat MCN, et al. Soil mycobiota under managed and unmanaged forests of Nothofagus pumilio in Tierra del Fuego, Argentina. N Z J For Sci. 2019;9: 7. [Google Scholar]
  • 39.Xu Q, Vandenkoornhuyse P, Li L, Guo J, Zhu C, Guo S, et al. Microbial generalists and specialists differently contribute to the community diversity in farmland soils. J Adv Res. 2022;40: 17–27. doi: 10.1016/j.jare.2021.12.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Wang F, Chen Y, Yu X, Yu W, You Z, Yang Z. Response of the soil fungal community and its function during the conversion of forestland to tea plantations: A case study in Southeast China. Forests. 2023;14: 209. [Google Scholar]
  • 41.Ren Y, Ge W, Dong C, Wang H, Zhao S, Li C, et al. Specialist species of fungi and bacteria are more important than the intermediate and generalist species in near-urban agricultural soils. Applied Soil Ecology. 2023;188: 104894. [Google Scholar]
  • 42.Wang J-T, Shen J-P, Zhang L-M, Singh BK, Delgado-Baquerizo M, Hu H-W, et al. Generalist Taxa Shape Fungal Community Structure in Cropping Ecosystems. Front. Microbiol. 2021;12: 678290. doi: 10.3389/fmicb.2021.678290 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Silva DEO, Costa RM, Campos JR, et al. Short-term restoration practices change the bacterial community in degraded soil from the Brazilian semiarid. Sci Rep. 2024; 14(1): 6845. doi: 10.1038/s41598-024-57690-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Bernhard-Reversat F. Dynamics of litter and organic matter at the soil-litter interface in fast-growing tree plantations on sandy ferrallitic soils (Congo). Acta Oecologica. 1993; 14(2): 179–185. [Google Scholar]
  • 45.Zhang X X, Li Q, Zhong Z, Huang Z, Bian F, Yang C, et al. Changes in soil organic carbon fractions and fungal communities, subsequent to different management practices in Moso bamboo plantations. J Fungi. 2022; 8(6): 640. doi: 10.3390/jof8060640 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Miura T, Niswati A, Swibawa IG, Haryani S, Gunito H, Kaneko N. No tillage and bagasse mulching alter fungal biomass and community structure during decomposition of sugarcane leaf litter in Lampung Province, Sumatra, Indonesia. Soil Bio Biochem. 2013;58: 27–35. [Google Scholar]
  • 47.Hoppe B, Purahong W, Wubet T, Kahl T, Bauhus J, Arnstadt T, et al. Linking molecular deadwood-inhabiting fungal diversity and community dynamics to ecosystem functions and processes in Central European forests. Fungal Divers. 2016;77(1): 367–379. [Google Scholar]
  • 48.Ratzke C, Barrere J, Gore J. Strength of species interactions determines biodiversity and stability in microbial communities. Nat Ecol Evol. 2020;4(3): 367–383. doi: 10.1038/s41559-020-1099-4 [DOI] [PubMed] [Google Scholar]
  • 49.Gao C, Xu L, Montoya L, Madera M, Hollingsworth J, Chen L, et al. Co-occurrence networks reveal more complexity than community composition in resistance and resilience of microbial communities. Nat Commun. 2022;13(1): 3867. doi: 10.1038/s41467-022-31343-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Tedersoo L, Bahram M, Dickie IA. Does host plant richness explain diversity of ectomycorrhizal fungi? Re-evaluation of Gao et al. (2013) data sets reveals sampling effects. Vol. 23, Molecular Ecology. 2014;23: 992–995. [DOI] [PubMed] [Google Scholar]
  • 51.Liu B, Talukder MJH, Terhonen E, Lampela M, Vasander H, Sun H, et al. The microbial diversity and structure in peatland forest in Indonesia. Soil Use Manag. 2020;36(1): 123–138. [Google Scholar]
  • 52.Egidi E, Delgado-Baquerizo M, Plett JM, Wang J, Eldridge DJ, Bardgett RD, et al. A few Ascomycota taxa dominate soil fungal communities worldwide. Nat Commun. 2019;10(1): 2369. doi: 10.1038/s41467-019-10373-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Cheek M, Nic Lughadha E, Kirk P, Lindon H, Carretero J, Looney B, et al. New scientific discoveries: Plants and fungi. Vol. 2, Plants People Planet. 2020;2: 371–388. [Google Scholar]
  • 54.Mayer M, Rewald B, Matthews B, Sandén H, Rosinger C, Katzensteiner K, et al. Soil fertility relates to fungal-mediated decomposition and organic matter turnover in a temperate mountain forest. New Phytologist. 2021;231(2): 777–790. doi: 10.1111/nph.17421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Koutika LS, Taba K, Ndongo M, Kaonga M. Nitrogen-fixing trees increase organic carbon sequestration in forest and agroforestry ecosystems in the Congo basin. Vol. 21, Regional Environmental Change. 2021;21: 109. [Google Scholar]
  • 56.Tchichelle SV, Epron D, Mialoundama F, Koutika LS, Harmand JM, Bouillet JP, et al. Differences in nitrogen cycling and soil mineralisation between a eucalypt plantation and a mixed eucalypt and Acacia mangium plantation on a sandy tropical soil. South For. 2017;79(1): 1–8. [Google Scholar]
  • 57.Wu D, Zhang M, Peng M, Sui X, Li W, Sun G. Variations in soil functional fungal community structure associated with pure and mixed plantations in typical temperate forests of China. Front Microbiol. 2019;10: 1636. doi: 10.3389/fmicb.2019.01636 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.De Araujo Pereira AP, De Andrade PAM, Bini D, Durrer A, Robin A, Bouillet JP, et al. Shifts in the bacterial community composition along deep soil profiles in monospecific and mixed stands of Eucalyptus grandis and Acacia mangium. PLoS One. 2017; 2(7): e0180371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Deacon LJ, Janie Pryce-Miller E, Frankland JC, Bainbridge BW, Moore PD, Robinson CH. Diversity and function of decomposer fungi from a grassland soil. Soil Biol Biochem. 2006;38(1): 7–20. [Google Scholar]
  • 60.Sigler L, Lumley TC, Currah RS. New species and records of saprophytic ascomycetes (Myxotrichaceae) from decaying logs in the boreal forest. Mycoscience. 2000; 41(5): 495–502. [Google Scholar]
  • 61.Rice AV, Tsuneda A, Currah RS. In vitro decomposition of Sphagnum by some microfungi resembles white rot of wood. FEMS Microbiol. Ecol. 2006;56(3): 372–382. [DOI] [PubMed] [Google Scholar]
  • 62.Galitskaya P, Biktasheva L, Blagodatsky S, Selivanovskaya S. Response of bacterial and fungal communities to high petroleum pollution in different soils. Sci Rep. 2021;11(1): 164. doi: 10.1038/s41598-020-80631-4 [DOI] [PMC free article] [PubMed] [Google Scholar]

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PONE-D-24-15839Impact of mixed-species forest plantations on soil mycobiota composition and diversity in the Congolese coastal plainsPLOS ONE

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The manuscript deals with the investigation of the fungal community in pure and mixed plantations of eucalypt and acacia in the Congo. The information is relevant and unprecedented for the region. The information was analyzed by different statistical techniques and is presented in figures. However, my perception is that the manuscript needs a broad revision to simplify the message and direct the discussion to the results of the present study. In addition, the authors cite different articles developed apparently in the same experimental device, but the relationship between the results is not very evident in the discussion.

L17-18. Include the full scientific name of the tree species.

L 29-33: It's confusing. Which planting model(s) provide the most benefits?

L 33-35 This phrase makes more sense at the beginning of the results (L19).

L 35-37. It's confusing. Soil attributes were also related to monospecific plantations. It is unclear what positive effect it has on the resilience of the ecosystem.

L47. It could include citations for this statement or specify which regions this occurs. My perception is that interest in mycobiota has increased due to advances in laboratory techniques. The interest is not evident in the conversion of natural forests to planted forests in all tropical regions. In Brazil, for example, planted forests replace areas previously used for agriculture and livestock in most cases. One interest that seems to be growing is to understand the feedback between plant diversity (e.g., by converting pure forest plantations to mixed plantations) and microbial communities. Perhaps mentioning something about this would help link to the next paragraph.

L 54. Why Eucalyptus and/or Acacia? It needs a minimum of two species.

L 71-74. My perception is that this sentence is confusing and perhaps in the wrong place. Was this territorial extension occupied only by mixed plantations of eucalypt and acacia?

L 79. What type of forest management?

L80-81. Could you specify which forest management and type of stand the authors are comparing? Could you include references to work done elsewhere to support your hypothesis?

L 82. Don't composition and diversity have the same meaning in the sentence? Wouldn't it be more appropriate to replace it with community structure and diversity?

L 89-91. Average air temperature is an important piece of information as well.

L 92-93. The first sentence is more in line with the first paragraph.

L94. The description of the experimental device seems confusing to me. Are there three replications with monospecific acacia plantations? And just one stand with eucalypt monoculture? Is it just a stand with mixed planting? Would this be a complete randomized block design?

L 98-100. Wasn't there a new mixed planting? It's confusing because it seems that there is no mixed planting for data collection.

L 105. What is the length of the transect? 10 m (similar to the width of the sampling plot)? If that's the case, it seems odd that the sampling points are only 0.7 m apart from each other.

L110-115. Routine soil fertility practice is to use a 2 mm sieve. Also, it seems confusing to me the way he mixed the simple samples to form the composite samples. In addition, it is unclear how long the sampling and molecular analysis took place, and how the samples were transported from the field to the lab.

L117. The elemental analyzer provides the total content of each element. So, it would be appropriate to include the term Total (e.g. Total C, N, and S...).

L129-130. Specify how these samples were distributed among treatments.

L 152. Wouldn't a parametric test (ANOVA, Tuckey, etc.) be more appropriate since the data come from a randomized experimental device? Ditto for Spearman's correlation, which could be replaced by Pearson. Has the normality of the data been tested?

L 186-189. I don't remember reading that described in the methodology that the samples were collected near eucalypt or acacia trees in mixed plantations.

L 189-192. Both sentences should be in the methodology.

L 192-196. It seems to me that the association of several statistical techniques to present the results is confusing. I miss a greater link between the first sentence (PCA) and the second sentence (Table S2).

L 217. Report this proportion of unidentified phyla.

L231. Authors should avoid single-sentence paragraphs. In addition, the S does not seem to have been the most important element in explaining the differences between the treatments. Perhaps it would be better to separate the information into positive and negative correlations, as this leads to different impacts.

L252-254. Does this mean that only P and N contributed significantly? C and S, or C/N, C/P, N/P... Have they not contributed significantly?

L263. Have any tests been conducted to assess this? Was the difference statistically significant?

L 265. The legend of this figure should be improved. There are color variations and colors that have no meaning (such as the shades of red, and orange in 50E:50A near euca).

L271-272. The authors could more adequately explain these results, given the size of the figure, and the different patterns colors, and connections. How are these connections made?

L 276-284. This paragraph is more appropriate in the introduction than in the discussion.

L293-294. The difference between generalists and rare ones was small. The sum of the two can represent up to 73% of mycobiota. One question would be whether specialist species have a particular ecological function.

L 296. Eucalyptus in this case should be italicized.

L296-297. That sentence seems confusing to me. If the number of species is greater in pure plantations, wouldn't they be more resilient to environmental stresses? Would increasing the diversity of fungi in theory be more beneficial, or not?

L297-300. The authors could better explain these ratios since they were not presented at the M&M.

L 300-306. I have doubts whether the eucalypt litter would necessarily be more recalcitrant than that of the acacia. The crucial difference seems to me to be the N content, which is higher in acacia leaves. But acacia leaves take longer to decompose than eucalypt leaves.

L 311. “.. potential associations with function (40,41)”. Quais functions?

L 311-313. Although there are no studies on the diversity of the fungal community in forest plantations of eucalyptus, acacia, and the mixture of the two species in the Congo, this hypothesis is somewhat presumptive to be accepted. The authors cite studies showing that microbial communities are to some extent modulated by the species planted on the site (e.g. 4, 17, 18). Perhaps the authors could go beyond that. For example, the authors mention in the introduction that fungi are important for carbon sequestration in the ecosystem, forest productivity, etc. Wouldn't it be possible to make that kind of relationship? For example, the abstract states: "Higher Faith's phylogenetic diversity and Evenness' was found in Eucalyptus monoculture relative to stands containing Acacia." Did this result in improved or resistance in some productivity parameters (e.g. growth, tree biomass, survival, litterfall?

L 314. I don't recall reading a highlight about endomycorrhizae versus ectomycorrhizae in M&M and outcomes. I think it's important.

L 360-364. The authors highlight important functions of fungi in ecosystems in these sentences but have little to do with the results. For example, it could explain the strong positive correlation between the total C (and C/P) of the soil and the Myxotrichaceae family.

L322-323. This statement is confusing. What the authors mean by "may have been compensated." Is it related to the growth/survival of trees?

L 335-336. The authors could include some explanation for the lack of correlation of this phylum (Ascomycota) with the total C contents.

L337-350. Were the percentage differences statistically significant? In Figure 2A, there do not seem to be major differences, but %100E and %100A show extreme values, while mixed plantings show intermediate percentages for some phyla and families. Perhaps it is more appropriate to concentrate the discussion on the phyla and families that were correlated with soil fertility parameters.

L 356-358. It is unclear what impact these issues (afforestation and oil production) will have. What would be the potential impact of this? (e.g. for productivity, ecosystem services of plantations?).

L360-361. This statement would make more sense if information about fungal communities in the reference area as native ecosystems were presented.

L369-371. Authors could include references to support this claim. It seems to me inappropriate to assume this based on correlations.

L 379-382. This statement seems limited to me. What would be the anthropic activity? Wouldn't it be better to discuss it from the perspective of diversity and its effects?

L382-383. How strong was this correlation? Was it always positive or negative? It seems to me that there is a lack of discussion in this regard.

L383-386. My perception is that there is a lack of a more evident link between human activities and soil alteration. In addition, the last sentence does not seem to be consistent with Figure 3.

L387-399. That paragraph is a conclusion, but the information could be better discussed in the discussion.

Reviewer #2: Dear Authors, the submitted manuscript has been written well and scientifically sound. I did not find any scientific mistakes in the manuscript hypothesis and research program. After careful review, I would like to suggest for some minor corrections: The abstract section could be more informative and precise with data as per the experiments performed and results obtained.

The introduction parts seem good, hence, I have no suggestion to improve this part. In the material method section, the first heading contains details that are not required, therefore, it could be improved by writing more in fewer sentences. The result section has been written well based on the findings, however, the findings could be improved by mentioning the concerned activity. The general readers could not understand which inferences are concerned with which activity. A major revision needs to be done in the discussion part. It's too lengthy leading to loss of connectivity. The discussion should be crisp and in a concise manner with supporting references.

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pone.0311781.s003.docx (20.5KB, docx)
PLoS One. 2024 Oct 10;19(10):e0311781. doi: 10.1371/journal.pone.0311781.r002

Author response to Decision Letter 0


30 Jul 2024

Dear Editor,

We are pleased to submit the revised version of our manuscript PONE-D-24-15839 for publication in PLOSONE Journal. We would like to express our appreciation to you and the Reviewers for the constructive comments and suggestion, which proved insights into improving our manuscript.

The manuscript has been thoroughly revised accordingly to your and reviewers’ suggestions. All changes made in the article are tracked in blue colour to facilitate the review process.

Below, you can find a detailed response letter addressing each reviewers' comments point-by-point.

We hope that the amended version of our paper now meets your final approval. Thank you for the opportunity to revise our work, and we look forward to hearing from you at your earliest convenience.

Yours sincerely,

Annamaria Bevivino and Stella Koutika

5. Review Comments to the Author

Reviewer #1#:

Reviewer 1’s comment 1:

The manuscript deals with the investigation of the fungal community in pure and mixed plantations of eucalypt and acacia in the Congo. The information is relevant and unprecedented for the region. The information was analyzed by different statistical techniques and is presented in figures. However, my perception is that the manuscript needs a broad revision to simplify the message and direct the discussion to the results of the present study. In addition, the authors cite different articles developed apparently in the same experimental device, but the relationship between the results is not very evident in the discussion.

Response to reviewer 1’s comment 1:

We thank the reviewer for valuable comments and suggestions. As suggested, we made a substantial revision especially in the Discussion section. Different aspects highlighted by the reviewers have been considered and developed further, and the relationship between different articles from the same experimental device and the current findings has been carefully considered.

Reviewer 1’s comment 2:

L17-18. Include the full scientific name of the tree species.

Response to reviewer 1’s comment 2:

Lines 25-26: The full Latin names of three species (i.e, Acacia mangium, Eucalyptus urophilla, E. grandi) have been reported.

Reviewer 1’s comment 3:

L 29-33: It's confusing. Which planting model(s) provide the most benefits?

Response to reviewer 1’s comment 3:

We thank the reviewer for the valuable comment. The sentence has been rewritten:

Lines 38-42: “A high prevalence of generalists (28% to 38 %) than specialists (9% to 24%) were found among the different sites. In stands containing Acacia (pure and mixed species) the soil mycobiota harbor the prevalence of generalist strategies with the potential to withstand environmental stresses and utilize a higher number of resources against specialists in Eucalyptus stands”.

Reviewer 1’s comment 4:

L 33-35 This phrase makes more sense at the beginning of the results (L19).

Response to reviewer 1’s comment 4:

The sentence was move to results section.

Reviewer 1’s comment 5:

L 35-37. It's confusing. Soil attributes were also related to monospecific plantations. It is unclear what positive effect it has on the resilience of the ecosystem.

Response to reviewer 1’s comment 5:

We thank the reviewer for this important comment. We therefore reformulated and strengthened the meaning of the sentence.

Lines 42-54: “Stronger positive correlation between soil attributes and main fungal taxa, higher generalists’ strategies and lower Faith’s phylogenetic diversity and Evenness were reported in stands containing Acacia. This highlights the potential of mixed-species in preserving community stability following environmental disturbances and increasing the number of resources confirming their important ecological role in boosting the resilience of the forest ecosystems to climate and land-use (plant species as shown by PCA analysis) changes.

Reviewer 1’s comment 6:

L47. It could include citations for this statement or specify which regions this occurs. My perception is that interest in mycobiota has increased due to advances in laboratory techniques. The interest is not evident in the conversion of natural forests to planted forests in all tropical regions. In Brazil, for example, planted forests replace areas previously used for agriculture and livestock in most cases. One interest that seems to be growing is to understand the feedback between plant diversity (e.g., by converting pure forest plantations to mixed plantations) and microbial communities. Perhaps mentioning something about this would help link to the next paragraph.

Response to reviewer 1’s comment 6:

We thank the reviewer for the valuable comment. Changes have been made and the refences have been added as shown below:

Lines 66-70: “In addition to the crucial functions mentioned above, advances in laboratory techniques, the impact of planted forests replacing areas previously used for agriculture and livestock in most cases in Brazil (Rachid et al. 2015; Silveira et al. 2022; Pereira et al. 2021), or afforesting (monoculture or mixed-species) native savannas in current case, on fungal communities are receiving increasing attention in the tropics.

Silveira, J.G.d.; Oliveira Neto, S.N.d.; Canto, A.C.B.d.; Leite, F.F.G.D.; Cordeiro, F.R.; Assad, L.T.; Silva, G.C.C.; Marques, R.d.O.; Dalarme, M.S.L.; Ferreira, I.G.M.; et al. Land Use, Land Cover Change and Sustainable Intensification of Agriculture and Livestock in the Amazon and the Atlantic Forest in Brazil. Sustainability 2022, 14, 2563. https://doi.org/10.3390/su14052563

L 54. Reviewer 1’s comment 7

Why Eucalyptus and/or Acacia? It needs a minimum of two species.

Response to reviewer 1’s comment 7:

Change has been made:

Lines 75-76: “Mixed-species plantations of Eucalyptus spp. and Acacia spp. were established

Reviewer 1’s comment 8:

L 71-74. My perception is that this sentence is confusing and perhaps in the wrong place. Was this territorial extension occupied only by mixed plantations of eucalypt and acacia?

Response to reviewer 1’s comment 8:

We thank the reviewer for the comment. The territorial extension was occupied by different forest plantations as pines, eucalyptus and acacias. More information about the forest plantation species has been added.

Lines 71-76: “in the Congolese coastal plains has been undertaken, (reaching an overall forested area of around 42.000 ha composed of tropical pines, eucalyptus and acacias in the 2000s), to meet the demand for wood (both in industrial and rural communities), preserve natural forests, mitigate the effects of global warming, and utilize soils unsuitable for agriculture (20)’.

This sentence has been moved at the beginning of the section (lines 79-83).”

Reviewer 1’s comment 9:

L 79. What type of forest management?

Response to reviewer 1’s comment 9:

The clarification has been made.

“… in nutrient cycling in the mixed-species forest plantations (line 97).”

Reviewer 1’s comment 10:

L80-81. Could you specify which forest management and type of stand the authors are comparing? Could you include references to work done elsewhere to support your hypothesis?

Response to reviewer 1’s comment 10:

We thank the reviewer for the comment and suggestion. Forest management and stand type have been specified. Also references of work conducted elsewhere have been added.

Lines 99-101: “This study therefore addresses the hypothesis that fungal community composition is linked to acacia and eucalyptus plantations, especially to the mixed acacia and eucalyptus stand as already observed in Brazilian ecosystems (Rachid et al. 2015; Pereira et al. 2021).

Reviewer 1’s comment 11:

L 82. Don't composition and diversity have the same meaning in the sentence? Wouldn't it be more appropriate to replace it with community structure and diversity?

Response to reviewer 1’s comment 11:

As suggested, the sentence has been modified:

Lines 102-103:“… on the soil mycobiota community structure and diversity on the sandy and nutrient-poor soils in the Congolese coastal plains.”

Following the suggestion, also the title has been revised: Impact of mixed-species forest plantations on soil mycobiota community structure and diversity in the Congolese coastal plains

Reviewer 1’s comment 12:

L 89-91. Average air temperature is an important piece of information as well.

Response to reviewer 1’s comment 12:

We agree with the reviewer. The air temperature and humidity have been added:

Lines 120-121: “season (June to September), and the high mean annual air humidity and temperature (85% and 25 °C, respectively).”

Reviewer 1’s comment 13:

L 92-93. The first sentence is more in line with the first paragraph.

Response to reviewer 1’s comment 13:

The following sentence has been moved in the first paragraph as suggested by the reviewer.

Lines 116-118: “Afforestation using Eucalyptus hybrids on native tropical savanna dominated by the C4 Poaceae Loudetia arundinacea (Hochst.) Steud. occurred in 1984.”

Reviewer 1’s comment 14:

L94. The description of the experimental device seems confusing to me. Are there three replications with monospecific acacia plantations? And just one stand with eucalypt monoculture? Is it just a stand with mixed planting? Would this be a complete randomized block design?

Response to reviewer 1’s comment 14:

It is a complete randomized block design. The text was clarified as follow:

Lines 152-155: “Trials (at a density of 800 trees ha-1) were installed on a complete randomized block design in May 2004. The trials consisted of three blocks, each composed of three stands; a monoculture stand of Acacia mangium (100A), a monoculture stand of Eucalyptus urophylla × E. grandis (100E), and a mixed-species stand [50% of Acacia and 50% of Eucalyptus (50A50E)]”.

The reference n. 24 was added.

Reviewer 1’s comment 15:

L 98-100. Wasn't there a new mixed planting? It's confusing because it seems that there is no mixed planting for data collection.

Response to reviewer 1’s comment 15:

The text was rewritten to avoid the confusion:

Lines 125-126: “The first rotation ended in January 2012 (7 years) and the second rotation was established in March 2012 on the same design.”

Reviewer 1’s comment 16:

L 105. What is the length of the transect? 10 m (similar to the width of the sampling plot)? If that's the case, it seems odd that the sampling points are only 0.7 m apart from each other.

Response to reviewer 1’s comment 16:

We thank the reviewer for the question. The sentence has been added to clarify the paragraph:

Lines 129-131: “A stand comprised 100 trees (10×10) including 36 trees in an inner part on an area of 1250 m2 and two buffer rows. The spacing between rows was 3.75 m, with 3.33 m between the trees in a row. The spacing between rows was 3.75 m, with 3.33 m between the trees in a row. Three transects in 100A and 100E stands and six in 50A50E stands were set up in the inner part of each stand, starting at the base of a tree and ending in the center of the area delimited by four trees. Three cores were sampled on each transect; each sampling point being separated by 0.7 m from the next along each transect”.

Reviewer 1’s comment 17:

L110-115. Routine soil fertility practice is to use a 2 mm sieve. Also, it seems confusing to me the way he mixed the simple samples to form the composite samples. In addition, it is unclear how long the sampling and molecular analysis took place, and how the samples were transported from the field to the lab.

Response to reviewer 1’s comment 17:

We thank the reviewer for the comment. Obviously, the standard sieve is 2mm. However, when it comes to determine particulate organic matter (POM 53-4000µm) the 4mm sieve is used. Soils analyses using POM were conducted to evaluate SOM dynamics (Koutika et al. 2019). As for this study as for other conducted on the same trial design (Koutika et al. 2017; Koutika et al. 2020), composite samples made on the same base have been built. A composite sample has been made from three samples in each stand. Composite soil sampling is the traditional soil sampling method. The objective is to get a sample that represents the average of the area that is being sampled. Three composite samples of pure Acacia (100 A) and Eucalyptus (100 E) and 6 of mixed-species (50 A 50 E) stands were obtained by block, i.e., 12 samples per block and a total of 36 samples for 3 studied blocks. The collected soil samples were transferred to a labelled zipped plastic bag and shipped to ENEA laboratories (Italy) in ice. Once received, samples were stored at -20°C until DNA extraction.

Reviewer 1’s comment 18:

L117. The elemental analyzer provides the total content of each element. So, it would be appropriate to include the term Total (e.g. Total C, N, and S...).

Response to reviewer 1’s comment 18:

Line 146: It has been done.

Reviewer 1’s comment 19:

L129-130. Specify how these samples were distributed among treatments.

Response to reviewer 1’s comment 19:

Soil was sampled in 9 replicates by stand beneath monoculture of A. mangium (100 104 A) and E. urophylla × E. grandis (100 E) and 18 replicates mixed-species of Acacia and Eucalyptus 105 (50 A 50 E) in 3 blocks (lines 101-105 old version). We better clarified the distribution of samples among treatments as follows:

Lines 134-137: “Nine samples were collected in the 100A and 100E stands and 18 in the 50A50E stands with 9 samples collected near an Acacia, noted 50A50E (near acacia), and 9 others near a Eucalyptus, noted 50A50E (near Euca) in each of the three blocks.

Reviewer 1’s comment 20:

L 152. Wouldn't a parametric test (ANOVA, Tuckey, etc.) be more appropriate since the data come from a randomized experimental device? Ditto for Spearman's correlation, which could be replaced by Pearson. Has the normality of the data been tested?

Response to reviewer 1’s comment 20:

Yes, we conducted normality tests on our data using Shapiro-Wilk test (1965). However, field experiments generally present higher variation coefficient. Thus, we chose non-parametric methods where appropriate.

SHAPIRO, S. S., & WILK, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3–4), 591–611. https://doi.org/10.1093/biomet/52.3-4.591

Reviewer 1’s comment 21:

L 186-189. I don't remember reading that described in the methodology that the samples were collected near eucalypt or acacia trees in mixed plantations.

Response to reviewer 1’s comment 21:

This remark is correct. We added the following sentence to clarify the soil sampling procedure:

Lines 134-137: “Nine samples were collected in the 100A and 100E stands and 18 in the 50A50E stands with 9 samples collected near an Acacia, noted 50A50E (near acacia), and 9 others near a Eucalyptus, noted 50A50E (near Euca) in each of the three blocks.”

Reviewer 1’s comment 22:

L 189-192. Both sentences should be in the methodology.

Response to reviewer 1’s comment 22:

We thank the reviewer for the request. The two sentences have been moved to methodology section.

Reviewer 1’s comment 23:

L 192-196. It seems to me that the association of several statistical techniques to present the results is confusing. I miss a greater link between the first sentence (PCA) and the second sentence (Table S2).

Response to reviewer 1’s comment 23:

We thank the reviewer for this important comment. The link between those 2 sentences was made.

Lines 225-230: “PCA analysis revealed a clear separation of fungal communities in 100E from stands containing Acacia, suggesting the effects of plant species on fungal community structure (Fig 1B). This is confirmed by the statistical analysis reported in S2 Table highlighting a significant difference in fungal beta diversity in mixed-species compared to single stands i.e., (50A50E (near Acacia) vs.100A and 50A50E (near Euca) vs. 100E)”.

Reviewer 1’s comment 24:

L 217. Report this proportion of unidentified phyla.

Response to reviewer 1’s comment 24:

The requested proportion has been added:

Lines 251-252: “On the contrary, the lower relative abundance of the unidentified is apparent in 100E (5%) and higher 7% for both 100A and 50A50E (near Acacia) stands”.

Reviewer 1’s comment 25:

L231. Authors should avoid single-s

Attachment

Submitted filename: Response to reviewers_PONE-D-24-15839.pdf

pone.0311781.s004.pdf (492.9KB, pdf)

Decision Letter 1

Tunira Bhadauria

29 Aug 2024

Impact of mixed-species forest plantations on soil mycobiota community structure and diversity in the Congolese coastal plains

PONE-D-24-15839R1

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Acceptance letter

Tunira Bhadauria

30 Sep 2024

PONE-D-24-15839R1

PLOS ONE

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Faith’s phylogenetic diversity and Pielou Evenness p-values obtained from of Kruskal-Wallis test of fungal communities in a sandy soil under mixed-species of Acacia and Eucalyptus plantations at 5 years into the second rotation in the Congolese coastal plains.

    (DOCX)

    pone.0311781.s001.docx (16.9KB, docx)
    S2 Table. Pairwise Permanova results of fungal communities in a sandy soil under mixed-species of Acacia and Eucalyptus plantations at 5 years into the second rotation in the Congolese coastal plains.

    (DOCX)

    pone.0311781.s002.docx (15.9KB, docx)
    Attachment

    Submitted filename: PONE-D-24-15839_Reviewercomments_F.docx

    pone.0311781.s003.docx (20.5KB, docx)
    Attachment

    Submitted filename: Response to reviewers_PONE-D-24-15839.pdf

    pone.0311781.s004.pdf (492.9KB, pdf)

    Data Availability Statement

    Raw sequence data reported in this study have been deposited in the National Center for Biotechnology Information (NCBI) “Sequence Read Archive” (SRA) of the National Center for Biotechnology Information (NCBI), under project accession number PRJNA967507.


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