Next Article in Journal
Machine Learning Approach Reveals the Assembly of Activated Sludge Microbiome with Different Carbon Sources during Microcosm Startup
Next Article in Special Issue
Biodiversity of Actinomycetes from Heavy Metal Contaminated Technosols
Previous Article in Journal
Beneficial Microorganisms to Control the Gray Mold of Grapevine: From Screening to Mechanisms
Previous Article in Special Issue
Sweet Sorghum Genotypes Tolerant and Sensitive to Nitrogen Stress Select Distinct Root Endosphere and Rhizosphere Bacterial Communities
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Response of Soil Fungal Diversity and Community Composition to Varying Levels of Bamboo Biochar in Red Soils

1
College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2
College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
3
College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
4
International Magnesium Institute, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
*
Author to whom correspondence should be addressed.
Microorganisms 2021, 9(7), 1385; https://doi.org/10.3390/microorganisms9071385
Submission received: 8 June 2021 / Revised: 21 June 2021 / Accepted: 23 June 2021 / Published: 25 June 2021
(This article belongs to the Special Issue Microbial Interactions in Soil)

Abstract

:
Soil fungi play a vital role in soil nutrient dynamics, but knowledge of their diversity and community composition in response to biochar addition into red soil is either limited or inconsistent. Therefore, we determined the impact of bamboo biochar (BB) with increasing concentrations (0, 5, 20, and 80 g kg−1 of soil, referred to as B0, BB5, BB20, and BB80, respectively) on soil physicochemical properties and fungal communities (Illumina high-throughput sequencing) in red soil under Fokenia hodginsii (Fujian cypress). We found that increasing BB levels effectively raised the soil pH and soil nutrients, particularly under BB80. BB addition significantly increased the relative abundance of important genera, i.e., Basidiomycota, Mucoromycota, and Chytridiomycota that could play a key role in ecological functioning, e.g., wood degradation and litter decomposition, improvement in plant nutrients uptake, and resistance to several abiotic stress factors. Soil amended with BB exhibited a substantial ability to increase the fungal richness and diversity; BB80 > BB20 > BB5 > B0. Basidiomycota, Mucoromycota, Glomeromycota, Rozellomycota, Aphelidiomycota, Kickxellomycota, and Planctomycetes were positively associated with soil pH, total nitrogen, phosphorous, and carbon, and available potassium and phosphorous. Besides, the correlation analysis between the soil fungal communities and soil properties also showed that soil pH was the most influential factor in shaping the soil fungal communities in the red soil. These findings have significant implications for a comprehensive understanding of how to ameliorate acidic soils with BB addition, as well as for future research on sustainable forest management, which might increase soil fungi richness, diversity, and functionality in acidic soils.

1. Introduction

Soil acidification is a key problem for terrestrial ecosystems and forest productivity [1]. Globally, 30% of the total land is comprised of acidic soils [2,3], and anthropogenic activities like intensive or inappropriate fertilization result in severe problems of soil acidification [4,5]. Soil acidification has been the biggest challenge to Chinese intensive farming systems since 1980, and in turn, modifying the soil physicochemical properties with negative effects on soil microbiota [6,7]. Therefore, the use of innovative technology to ameliorate soil acidification is of global concern for maximizing forest sustainability.
The application of inorganic fertilizers is adequate to ensure forest productivity and plant growth [8]. The organic amendments from various sources, including forestry and agriculture, and urban areas, combined with inorganic fertilizer, are one appropriate way to alleviate such problems of soil acidification triggered by inorganic fertilizer. Previous research has shown that organic additions into the soil from diverse sources may enhance soil physicochemical and biological properties [9,10]. Recently, the addition of biochar to alleviate soil acidification has received a lot of interest across the globe. Biochar is black carbon that is processed by thermal degradation of organic substances under zero or limited oxygen (pyrolysis) [11]. Its influence on soil quality has been demonstrated primarily by raising soil pH in acidic soils [12], increasing nutrient retention by cation adsorption, or may shift soil microbial community composition and abundance [11]. Such changes might bring benefits to nutrient cycling, soil structure, and indirectly affect plant growth [13]. Therefore, potential interactions between soil physicochemical properties amended with biochar and soil microbes need to be further elucidated.
The soil amendment with biochar has a substantial effect on biotic and abiotic soil properties, which could effectively change the soil microbial diversity, community composition, and abundance [14]. Chen et al. [15] stated that the biochar addition to the organic carbon-poor dry soil enhanced the soil microbial diversity and abundance. Liu et al. [16] also reported that biochar substantially improved soil fertility and yield by increasing the relative abundance of soil fungi and bacteria and changed the community structure. A large number of experiments have focused on the microbial effects of biochar and chemical fertilizers, but most of the reports devoted more attention to bacteria [17,18,19]. Since fungi are the primary decomposer and carbon sequester in the forest ecosystem, and their role in the conservation of soil fertility and health is critical.
Fungal communities, in addition to having a substantial influence on soil health and plant growth, are likely to survive under adverse environmental conditions and important biological components that trigger a variety of ecological functions, such as organic matter decomposition, parasitism, and controlling of the soil nutrient [20,21,22]. For instance, in a Tibetan forest, changing soil pH influenced the fungal alpha diversity [23], and this has not always been the fact when concerning fungal diversity. For example, Rousk et al. [24] reported that, although fungal diversity was correlated with soil pH, the relationship was considerably weaker relative to that of soil pH and bacterial diversity. In addition, the soil organic carbon and plant species have been found to be the key determinants in regulating fungal diversity in soils on China’s Loess Plateau and grassland soils of the Tibetan plateau [25,26]. Besides, various nutrients, such as organic carbon [27], available phosphorus [28], and various nitrogen forms [29], also greatly impact fungal diversity. There is a complex network of soil fungi, and their distribution and nature fluctuate in space [30]. Although the importance of bacterial community composition and their interaction with environmental factors has recently been substantially investigated, soil fungal communities are not well known as soil bacteria, despite their great biodiversity and crucial relevance in ecological functioning.
Evidence suggests that the biochar application rate, its properties, or the production conditions are the key factors influencing the fungal communities and the supply of nutrients for the sustainable management of agricultural ecosystems [31]. As a result, the concern of how biochar impacts fungal community composition in red soil under coniferous species is of increasing interest. Fokenia hodginsii (F. hodginsii) is a valuable tree species native to southern China, Vietnam, and Laos and has gained a great deal of interest in China due to its high-quality timber. In our previous research, we observed that different concentrations of bamboo biochar (BB) increased the biomass and root morphological features of F. hodginsii due to improved soil properties [32,33]. Therefore, we further investigated the impact of different concentrations of BB on soil characteristics, as well as the structure and diversity of fungal communities in red soils. We hypothesized that differences in fungal communities due to the application of BB at different concentrations may alter the abundance of various fungal taxa. The study objectives were; (1) to evaluate the effects of various BB concentrations on fungal diversity and community composition in red soil and (2) to determine the key environmental factors that shape the fungal diversity and community composition.

2. Materials and Methods

2.1. Experimental Setup

The current study was carried out in Bamboo Institute of the Fujian Agriculture and Forestry, Fuzhou, Fujian, China. One-year-old F. hodginsii seedlings of similar growth were grown in red soil amended with BB. Prior to BB integration, the basic physicochemical properties of both the soil and the biochar were assessed and have been presented in Table S1. Red soil was mixed with four different concentrations of BB, i.e., 0, 5, 20, and 80 g kg−1 of soil, named B0, BB5, BB20, and BB80, respectively. We planted one seedling in each polyvinyl pot (height = 18 cm, diameter = 22 cm top circumference = 62 cm, bottom circumference = 52 cm, and soil weight = 5 kg of soil per pot) and established 24 seedlings in total. However, we selected three pots from each treatment to assess the soil physicochemical properties and DNA extraction. All replicates were cultivated in a glasshouse with adequate irrigation and natural light to produce healthy seedlings and were arranged in a completely randomized design. In addition, after 15 days of the establishment, we applied 10 g of compound fertilizer (granular: NPK, 15:15:15) to each pot [34] as recommended by the Anxi Forest Nursery. After one year, the seedlings were harvested and the uprooted seedlings were gently shaken to extract rhizosphere soil. The soil samples were stored immediately in a sterile icebox and transported to the laboratory. All soil samples were sieved and separated into two subsamples; one was air-dried to estimate soil physicochemical properties and the other was stored at −80 °C for the DNA extraction.

2.2. Determination of Soil Physicochemical Properties

To assess the soil physicochemical properties, initially, soil samples were air-dried and sieved (0.149 or 2 mm). The soil pH (1:2.5 soil/water suspensions) was determined using a glass electrode meter (Seven Compact; Mettler-Toledo, Greifensee, Switzerland) [35]. Soil total carbon (TC) and total nitrogen (TN) were measured using the Elemental Analyzer (Thermo ScientificTM, Waltham, MA, USA). Total phosphorus (TP) and available phosphorus (AP) were estimated using the alkali fusion-Mo-Sb Anti-colorimetric method [36] on a spectrophotometer (BioTek, Epoch2, Winooski, VT, USA) at an absorbance wavelength of 700 nm. For the determination of available potassium (AK), the ammonium acetate solution was used and then measured at a flame photometer (FP640®, AOPU Analytical Instruments, Shanghai, China) [37].

2.3. DNA Extraction and PCR Amplification

Total genomic DNA was extracted from soil samples using the Fast DNATM Spin kit (MP Biomedical, Santa Ana, CA, USA); following manual instructions, DNA was purified with a DNA purification kit (Tiangen Biotech Co., Ltd., Beijing, China). The quality and quantity of DNA were estimated using NanoDrop (Thermo Fisher Scientific, Middletown, VA, USA) and later preserved at −20 °C for sequencing. ITS2-110 2043R and ITS5-1737F primers were used to amplify the ITS1 fungal region [38]. The PCR reactions were performed in 30-μL mixtures for each primer (0.2 μM); Phusion® High-Fidelity PCR Master Mix (15 μL) (New England BioLabs, Ipswich, MA, USA) and DNA templates (10 ng). The conditions set for the PCRs were 98 °C~one-min, following 30 Cycles of 98 °C~10 s, 50 °C~30 s, 72 °C~60 s, and with a final extension of 72 °C~5 min. QIAquik Gel Extraction Kit (QIAGEN, Düsseldorf, Germany) was used to purify the PCR products. TruSeq® DNA PCR-Free Sample Preparation Kit (Illumina, San Diego, CA, USA) was used to develop sequencing libraries. Whereas, Qubit @ 2.0 fluorometer (Thermo Fisher Scientific, Waltham, MA, USA) and the Agilent Bioanalyzer 2100 system (Santa Clara, CA, USA) were used for their quantity measurements. At last, the DNA libraries were sequenced by Novogen (Beijing, China) on the Illumina HISeq2500 platform. All the sequencing data were deposited in a NCBI SRA database with accession number PRJNA 735056.

2.4. Statistical and Bioinformatic Analyses

Using FLASH (Baltimore, MD, USA), the paired end reads from the initial DNA fragment were combined based on the unique barcode assigned to each sample. The sequences were assigned to the operational taxonomic unit (OTU) based on 97% of similarity. Representative sequences were chosen for each OTU, and taxonomic information was annotated for each representative sequence using a ribosomal database project (RDP) classifier [39]. The alpha diversity and species richness were quantified using the Shannon, Simpson, Chao1, and ACE indices [40,41,42]. The rarefaction curves were generated based on the observed species richness, and the Venn diagram displayed the unique and common OTUs among the soil samples. In addition, unweighted UniFrac principal coordinate analysis (PCoA), unweighted UniFrac pair group approach with arithmetic means analysis (UPGMA), and analysis of similarities (ANOSIM) were also employed to investigate variations in species complexity between samples. A redundancy analysis (RDA) was performed to analyze the relationship between the fungal community structure at the phylum and genus level and soil physicochemical characteristics. Pearson correlation analysis between soil properties and soil fungi diversity, phyla, and genera were also carried out. The least significant difference (LSD) test was performed to determine the significant differences in soil physicochemical properties. For visualization, we used R software (version 2.15.3, R Foundation for Statistical Computing, Vienna, Austria) and Origin® v. 8.5 (Origin-Lab Corp., Northampton, MS, USA).

3. Results

3.1. Effect of Bamboo Biochar on Soil Physicochemical Characteristics

The application of BB had a significant effect on soil physicochemical properties (Figure 1). We found that increasing biochar concentration effectively increased the soil pH and soil nutrient levels, e.g., TP, TN, TC, C:N, AP, and AK. Collectively, it implies that the biochar amendment not only alleviated soil acidification but also improved the soil nutrient status. Specifically, BB80 resulted in a considerable increase in soil nutrient contents relative to all other treatment combinations (Figure 1).

3.2. Effect of Bamboo Biochar on Soil Fungal Community

The relative abundance of fungal phyla changed with BB concentration (B0, BB5, BB20, and BB80). The Ascomycota, Basidiomycota, Mucoromycota, and Chytridiomycota were dominant phyla found in all treatments. The abundance of Ascomycota decreased significantly with increasing biochar concentrations, while an opposite response was observed for Mucoromycota. We also found that the relative abundance of Basidiomycota, Chytridiomycota was higher under BB treatments compared with control (B0) (Figure 2a). Overall, these results showed that BB contributed to improving the relative abundance in the red soil of southern China. Moreover, the Ven diagram also revealed that 352 OTUs were common, suggesting a higher similarity of soil fungal communities among all treatments. However, under the highest BB concentrations (BB80), the maximum number of unique OTUs (i.e., 626) were observed (Figure 2b).

3.3. Fungal Richness and Diversity Increased under Bamboo Biochar Amendments

To assess the impact of BB on fungal richness and diversity, four alpha diversity indices were investigated, including observed species, ACE, Chao1, and Shannon (Figure 3). We found that relative to B0, BB5 and BB20 did not show significant differences in soil fungal richness and diversity indices (observed species, ACE, and Chao1) (Figure 3a–c). However, all four indices (observed species, ACE, Chao1, and Shannon) were significantly higher, particularly under BB80 treatments relative to B0. In addition, the BB had a substantial ability to increase the Shannon index; BB80 > BB20 > BB5 > B0, with the highest alpha diversity under BB80 (Figure 3d).

3.4. Changes in Soil Fungal Communities under Bamboo Biochar Concentration

To evaluate whether either BB had a significant effect on soil fungal communities in comparison with no BB treatment, principal coordinate analysis was performed. The results showed the distinct patterns of fungal communities in response to varying BB concentrations, with the first and second axes representing a complete change of 75.24% in the fungal communities (Figure 4a). The unweighted pair group method with arithmetic mean analysis (UPGMA) further confirmed that the samples with varying biochar concentrations were well separated (Figure 4b), which was consistent with the analysis of similarities (ANOSIM) results (r = 0.398, p = 0.002), indicating that varying biochar concentrations strongly changed the soil fungal communities. Hence, we found that soil fungal communities were different from each other at different concentrations of BB.

3.5. Soil Properties Correlated with Soil Fungal Communities

The distance-based redundancy analysis (RDA) was performed to determine the environmental factors that affected fungal structure at the phylum and genus level. RDA results suggested that soil pH, TN, TP, AK, TC, AP, and C:N explained 52.64% and 63.04% of the total shift in fungal phyla and genera, respectively. Besides, under varying biochar concentrations, soil samples were completely separated from each other (Figure 5a,b). At the phylum level, Ascomycota, Mortierellomycota, and Olpidiomycota were negatively associated with soil pH, TN, TP, AK, TC, AP, and C:N, while Basidiomycota, Mucoromycota, Glomeromycota, Rozellomycota, Aphelidiomycota, Kickxellomycota, and Planctomycetes were positively associated (Figure 5c). Furthermore, at the genus level, Penicillium, Saitozyma, Trichoderma, Boothiomyces, Talaromyces, and Fusarium were negatively associated with soil pH, TN, TP, AK, TC, AP, and C:N, while Apiotrichum, Umbelopsis, Alternaria, and Epicoccum were positively associated (Figure 5d). Moreover, we also found that soil physicochemical properties including pH, TN, TP, AK, TC, AP, and C:N had a significant effect on soil fungal community composition (Table 1).

4. Discussion

In recent times, biochar is being practiced to raise the soil pH of acidic soil. Numerous studies have demonstrated that biochar has an excellent ability to improve soil properties owing to its unique biological and physicochemical properties, which induce shifts in soil microbial abundance and community composition. Therefore, we examined how varying BB concentrations affected soil characteristics as well as the fungal diversity and community composition in red soil with F. hodginsii plantation. As a result, our results may contribute to a better understanding of the impacts of varied BB concentrations on soil acidification, soil fertility, and soil fungal community composition, with an overall influence on soil health.
We found that the BB amendment raised the soil pH and significantly improved the soil nutrient status (e.g., TP, TN, TC, C:N, AP, AK) (Figure 1). These findings are consistent with previous studies indicating that biochar not only helps to mitigate soil acidification but also improves the soil nutrient status [43,44]. This rise in soil pH is primarily due to BB high pH (Table S1) and a high concentration of base ions in its ash, such as Ca, Mg, K, and Na, which may efficiently decrease soil hydrogen ions and exchangeable aluminum ions [45], and therefore improves the soil nutrients status [46]. The better nutrient availability observed in this study could be related to direct input from biochar [11,47] because biochar itself does have the ability to improve soil fertility [48]. Thus, we concluded that the BB amendment to red soil significantly improved the soil physicochemical properties.
Nevertheless, alleviating soil acidification and improving soil nutrient status in response to BB amendments may lead to an increase in the relative abundance of fungal species [49,50]. Therefore, we also found that relative abundance of Basidiomycota, Mucoromycota, and Chytridiomycota increased under BB (Figure 2). These results are similar to previous findings of Duan et al. [50] where the relative abundance of the soil fungal community also increased with increasing BB concentration. Generally, the relative abundance of Ascomycota was the highest under all treatments. Ascomycota is the most common and diversified phylum of eukaryotes, as well as the decomposition of organic substrate [22], and we discovered it to be the most common fungal phylum in the red soil. Basidiomycota includes some of the most well-known fungi for their ability to generate huge fruiting bodies, as well as plant parasite fungi that cause wood degradation and litter decomposition [51,52]. Because of their symbiotic relationship with the host plant’s roots, this fungus category could be very advantageous to plants, as they store mineral nutrients, metabolites, and water [52]. Mucoromycota fungal species can be found in a variety of habitats, and the majority of the AMF (arbuscular mycorrhizal fungi) species belong to Mucoromycota sub-phylum [53]. AMF are soil-borne fungi that can significantly improve plant nutrient uptake and resistance to several abiotic stress factors [54,55,56,57,58]. Chytridiomycota phylum diversity has been documented as a vital component in modern ecosystems that can live in a broad range of environments, as well as exist in temperature and moisture variations, and act as decomposers and bio-converters [59]. Hence, BB had a significant impact on the relative abundance of important fungal species for ecosystem functioning.
The alpha diversity indices revealed variations in soil fungal richness and diversity. The fungal species richness and diversity increased significantly with increasing biochar concentration (Figure 3) and were substantially affected by soil physicochemical properties (Figure 4). Soil nutrients and pH respond quickly to soil changes, so these are the most widely used indicators for the evaluation of soil microbial communities and to assess the soil quality [60]. In the current study, soil fungal richness and diversity increased, this could be due to improved soil physicochemical properties owing to the application of BB. The soil microbiota plays a vital role in soil function and ecosystem sustainability [61,62]. Therefore, studying the changes in soil microbial diversity under different BB concentrations can help to determine the possible reasons that result in the loss of soil microbial diversity, and it is considered a major threat to ecosystem functioning [63]. We also found that the soil fungal communities were significantly influenced by soil physicochemical properties (pH, TN, TP, AP, AK, TC, C:N ratio) (Figure 5, Table 1). We can infer that soil physicochemical properties changing with biochar concentration could contribute to the distinct variations in fungal community structures. Previous studies also showed that soil pH is the most important variable for shaping the fungal communities [64,65]. This is because soil pH may affect the fungal diversity and community composition by modifying nutrients availability or putting physiological limits on fungal growth. These findings complemented prior research that soil pH has a substantial impact on fungal populations [66,67]. The correlation analysis between the soil fungal communities and soil properties also showed that soil pH was the most influential factor affecting the soil fungal communities, and similar results have been reported in previous studies [68,69].

5. Conclusions

Overall, in this study, we investigated the response of soil fungal richness, diversity, and community composition to BB by Illumina high-throughput sequencing. We found that BB addition significantly increased the relative abundance of important genera, i.e., Basidiomycota, Mucoromycota, and Chytridiomycota that play key roles in ecological functioning, e.g., wood degradation and litter decomposition, improvement in plant nutrient uptake and resistance to several abiotic stress factors, etc. Moreover, both the soil fungal richness and diversity were significantly increased under BB80. The correlation analysis showed that soil pH was the most significant and influential factor in shaping the soil fungal communities in the red soil. Hence, we concluded that the addition of BB to the red soil had a significant effect in improving the soil physicochemical properties in terms of alleviating soil acidification. The improvement in soil physicochemical properties, especially the increase in soil pH, provided a suitable environment for soil fungal diversity and community composition. These findings have important implications for a comprehensive understanding of the improvement of acidic soils by the addition of BB, and also provide a synthesized insight for future studies on sustainable forest management that could improve the soil fungal richness, diversity, and functioning in acidic soils.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/microorganisms9071385/s1, Table S1: Basic properties of soil and biochar used in this study.

Author Contributions

Conceptualization, M.W.K.T. and L.F.; methodology, M.W.K.T., Y.Z., and L.C.; software, M.T., D.X., and M.A.M.; validation, Y.Z. and M.W.K.T.; formal analysis, M.W.K.T. and M.T.; investigation, L.C. and M.W.K.T.; resources, J.R.; data curation M.W.K.T.; writing—original draft preparation M.W.K.T., M.T., and M.A.M.; writing—review and editing, M.W.K.T., M.T., and M.A.M.; visualization, M.W.K.T. and M.T.; supervision, Y.Z.; project administration, Y.Z. and J.R.; funding acquisition, Y.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Science and Technology Major Projects of Fujian Province [2018NZ0001-1] and Fujian Agriculture and Forestry University Science and Technology Development Fund Project [KF2015085].

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All the sequencing data were deposited to NCBI SRA database with accession number PRJNA 735056.

Acknowledgments

The authors wish to express gratitude to the anonymous reviewers who gave useful suggestions and critical remarks on this manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ke-Hui, L.I.U.; Yun-Ting, F.; Fang-Ming, Y.U.; Qiang, L.I.U.; Fu-Rong, L.I.; Shao-Lin, P. Soil acidification in response to acid deposition in three subtropical forests of subtropical China. Pedosphere 2010, 20, 399–408. [Google Scholar]
  2. Tarin, M.W.K.; Khaliq, M.A.; Fan, L.; Xie, D.; Tayyab, M.; Chen, L.; He, T.; Rong, J.; Zheng, Y. Divergent con-sequences of different biochar amendments on carbon dioxide (CO2) and nitrous oxide (N2O) emissions from the red soil. Sci. Total Environ. 2021, 754, 141935. [Google Scholar] [CrossRef] [PubMed]
  3. Kochian, L.V.; Piñeros, M.A.; Liu, J.; Magalhaes, J. V Plant adaptation to acid soils: The molecular basis for crop aluminum resistance. Annu. Rev. Plant Biol. 2015, 66, 571–598. [Google Scholar] [CrossRef]
  4. Huang, X.; Muneer, M.A.; Li, J.; Hou, W.; Ma, C.; Jiao, J. Pomelo (Citrus grandis) Root Growth and Nutrients Uptake under Acidic Soil of Southern China. Agronomy 2021, 11, 1231. [Google Scholar] [CrossRef]
  5. Tian, D.; Niu, S. A global analysis of soil acidification caused by nitrogen addition. Environ. Res. Lett. 2015, 10, 24019. [Google Scholar] [CrossRef]
  6. Guo, J.H.; Liu, X.J.; Zhang, Y.; Shen, J.L.; Han, W.X.; Zhang, W.F.; Christie, P.; Goulding, K.W.T.; Vitousek, P.M.; Zhang, F.S. Significant Acidification in Major Chinese Croplands. Science 2010, 327, 1008–1010. [Google Scholar] [CrossRef] [Green Version]
  7. Zhu, Q.; de Vries, W.; Liu, X.; Hao, T.; Zeng, M.; Shen, J.; Zhang, F. Enhanced acidification in Chinese croplands as derived from element budgets in the period 1980–2010. Sci. Total Environ. 2018, 618, 1497–1505. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Hartmann, A.A.; Barnard, R.L.; Marhan, S.; Niklaus, P.A. Effects of drought and N-fertilization on N cycling in two grassland soils. Oecologia 2013, 171, 705–717. [Google Scholar] [CrossRef] [PubMed]
  9. Intanon, S.; Hulting, A.G.; Myrold, D.D.; Mallory-Smith, C.A. Short-term effects of soil amendment with meadowfoam seed meal on soil microbial composition and function. Appl. Soil Ecol. 2015, 89, 85–92. [Google Scholar] [CrossRef]
  10. Ding, J.; Jiang, X.; Guan, D.; Zhao, B.; Ma, M.; Zhou, B.; Cao, F.; Yang, X.; Li, L.; Li, J. Influence of inorganic fertilizer and organic manure application on fungal communities in a long-term field experiment of Chinese Mollisols. Appl. Soil Ecol. 2017, 111, 114–122. [Google Scholar] [CrossRef]
  11. Lehmann, J.; Rillig, M.C.; Thies, J.; Masiello, C.A.; Hockaday, W.C.; Crowley, D. Biochar effects on soil biota—A review. Soil Biol. Biochem. 2011, 43, 1812–1836. [Google Scholar] [CrossRef]
  12. Van Zwieten, L.; Kimber, S.; Morris, S.; Chan, K.Y.; Downie, A.; Rust, J.; Joseph, S.; Cowie, A. Effects of biochar from slow pyrolysis of papermill waste on agronomic performance and soil fertility. Plant Soil 2010, 327, 235–246. [Google Scholar] [CrossRef]
  13. Warnock, D.D.; Lehmann, J.; Kuyper, T.W.; Rillig, M.C. Mycorrhizal responses to biochar in soil—Concepts and mechanisms. Plant Soil 2007, 300, 9–20. [Google Scholar] [CrossRef]
  14. Chen, J.; Sun, X.; Li, L.; Liu, X.; Zhang, B.; Zheng, J.; Pan, G. Change in active microbial community structure, abundance and carbon cycling in an acid rice paddy soil with the addition of biochar. Eur. J. Soil Sci. 2016, 67, 857–867. [Google Scholar] [CrossRef]
  15. Chen, J.; Sun, X.; Zheng, J.; Zhang, X.; Liu, X.; Bian, R.; Li, L.; Cheng, K.; Zheng, J.; Pan, G. Biochar amendment changes temperature sensitivity of soil respiration and composition of microbial communities 3 years after incorporation in an organic carbon-poor dry cropland soil. Biol. Fertil. Soils 2018, 54, 175–188. [Google Scholar] [CrossRef]
  16. Liu, Y.; Zhu, J.; Gao, W.; Guo, Z.; Xue, C.; Pang, J.; Shu, L. Effects of biochar amendment on bacterial and fungal communities in the reclaimed soil from a mining subsidence area. Environ. Sci. Pollut. Res. 2019, 26, 34368–34376. [Google Scholar] [CrossRef] [PubMed]
  17. Harter, J.; Krause, H.-M.; Schuettler, S.; Ruser, R.; Fromme, M.; Scholten, T.; Kappler, A.; Behrens, S. Linking N2 O emissions from biochar-amended soil to the structure and function of the N-cycling microbial community. ISME J. 2014, 8, 660–674. [Google Scholar] [CrossRef]
  18. Yao, Q.; Liu, J.; Yu, Z.; Li, Y.; Jin, J.; Liu, X.; Wang, G. Changes of bacterial community compositions after three years of biochar application in a black soil of northeast China. Appl. Soil Ecol. 2017, 113, 11–21. [Google Scholar] [CrossRef]
  19. Zhang, M.; Muhammad, R.; Zhang, L.; Xia, H.; Cong, M.; Jiang, C. Investigating the effect of biochar and fertilizer on the composition and function of bacteria in red soil. Appl. Soil Ecol. 2019, 139, 107–116. [Google Scholar] [CrossRef]
  20. Zeilinger, S.; Gupta, V.K.; Dahms, T.E.S.; Silva, R.N.; Singh, H.B.; Upadhyay, R.S.; Gomes, E.V.; Tsui, C.K.-M.; Nayak, S.C. Friends or foes? Emerging insights from fungal interactions with plants. FEMS Microbiol. Rev. 2016, 40, 182–207. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Duponnois, R.; Colombet, A.; Hien, V.; Thioulouse, J. The mycorrhizal fungus Glomus intraradices and rock phosphate amendment influence plant growth and microbial activity in the rhizosphere of Acacia holosericea. Soil Biol. Biochem. 2005, 37, 1460–1468. [Google Scholar] [CrossRef]
  22. Ye, G.; Lin, Y.; Luo, J.; Di, H.J.; Lindsey, S.; Liu, D.; Fan, J.; Ding, W. Responses of soil fungal diversity and community composition to long-term fertilization: Field experiment in an acidic Ultisol and literature synthesis. Appl. Soil Ecol. 2020, 145, 103305. [Google Scholar] [CrossRef]
  23. Wang, J.-T.; Zheng, Y.-M.; Hu, H.-W.; Zhang, L.-M.; Li, J.; He, J.-Z. Soil pH determines the alpha diversity but not beta diversity of soil fungal community along altitude in a typical Tibetan forest ecosystem. J. Soils Sediments 2015, 15, 1224–1232. [Google Scholar] [CrossRef]
  24. Rousk, J.; Bååth, E.; Brookes, P.C.; Lauber, C.L.; Lozupone, C.; Caporaso, J.G.; Knight, R.; Fierer, N. Soil bacterial and fungal communities across a pH gradient in an arable soil. ISME J. 2010, 4, 1340–1351. [Google Scholar] [CrossRef] [PubMed]
  25. Yang, Y.; Dou, Y.; Huang, Y.; An, S. Links between Soil Fungal Diversity and Plant and Soil Properties on the Loess Plateau. Front. Microbiol. 2017, 8, 2198. [Google Scholar] [CrossRef] [PubMed]
  26. Yang, T.; Adams, J.M.; Shi, Y.; He, J.-S.; Jing, X.; Chen, L.; Tedersoo, L.; Chu, H. Soil fungal diversity in natural grasslands of the Tibetan Plateau: Associations with plant diversity and productivity. New Phytol. 2017, 215, 756–765. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Liu, J.; Sui, Y.; Yu, Z.; Shi, Y.; Chu, H.; Jin, J.; Liu, X.; Wang, G. Soil carbon content drives the biogeographical distribution of fungal communities in the black soil zone of northeast China. Soil Biol. Biochem. 2015, 83, 29–39. [Google Scholar] [CrossRef]
  28. Li, P.; Li, Y.; Zheng, X.; Ding, L.; Ming, F.; Pan, A.; Lv, W.; Tang, X. Rice straw decomposition affects diversity and dynamics of soil fungal community, but not bacteria. J. Soils Sediments 2018, 18, 248–258. [Google Scholar] [CrossRef]
  29. Zhou, J.; Jiang, X.; Zhou, B.; Zhao, B.; Ma, M.; Guan, D.; Li, J.; Chen, S.; Cao, F.; Shen, D.; et al. Thirty four years of nitrogen fertilization decreases fungal diversity and alters fungal community composition in black soil in northeast China. Soil Biol. Biochem. 2016, 95, 135–143. [Google Scholar] [CrossRef]
  30. Will, C.; Thürmer, A.; Wollherr, A.; Nacke, H.; Herold, N.; Schrumpf, M.; Gutknecht, J.; Wubet, T.; Buscot, F.; Daniel, R. Horizon-Specific Bacterial Community Composition of German Grassland Soils, as Revealed by Pyrosequencing-Based Analysis of 16S rRNA Genes. Appl. Environ. Microbiol. 2010, 76, 6751–6759. [Google Scholar] [CrossRef] [Green Version]
  31. Wiedner, K.; Glaser, B. Biochar Impact on Plant Resistance to Disease. Biochar Soil Biota 2013, 49–76. [Google Scholar] [CrossRef]
  32. Tarin, M.W.K.; Fan, L.; Tayyab, M.; Sarfraz, R.; Chen, L.; He, T.; Rong, J.; Chen, L.; Zheng, Y. Effects of bamboo biochar amendment on the growth and physiological characteristics of Fokienia hodginsii. Appl. Ecol. Environ. Res. 2018, 16, 8055–8074. [Google Scholar] [CrossRef]
  33. Tarin, M.W.K.; Fan, L.L.; Shen, L.; Lai, J.L.; Tayyab, M.; Sarfraz, R.; Chen, L.Y.; Ye, J.; He, T.Y.; Rong, J.D.; et al. Effects of different biochars ammendments on physiochemical properties of soil and root morphological attributes of Fokenia Hodginsii (Fujian cypress). Appl. Ecol. Environ. Res. 2019, 17, 11107–11120. [Google Scholar] [CrossRef]
  34. Tarin, M.W.K.; Li, J.; Lu, S.; Jinli, L.; Jingwen, L.; Zhiwen, D.; Lingyan, C.; Tianyou, H.; Rong, J.; Zheng, Y. Rice straw biochar impact on physiological and biochemical attributes of Fokienia hodginsii in acidic soil. Scand. J. For. Res. 2020, 35, 59–68. [Google Scholar] [CrossRef]
  35. Tarin, M.W.K.; Fan, L.; Cai, Y.; Tayyab, M.; Chen, L.; He, T.; Rong, J.; Zheng, Y. Biochar amendment regulated growth, physiological, and biochemical responses of conifer in red soil. iForest Biogeosci. For. 2020, 13, 490–498. [Google Scholar] [CrossRef]
  36. Watanabe, F.S.; Olsen, S.R. Test of an Ascorbic Acid Method for Determining Phosphorus in Water and NaHCO3 Extracts from Soil. Soil Sci. Soc. Am. J. 1965, 29, 677–678. [Google Scholar] [CrossRef]
  37. Pansu, M.; Gautheyrou, J. Handbook of Soil Analysis: Mineralogical, Organic and Inorganic Methods; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2007; ISBN 3540312110. [Google Scholar]
  38. Huang, Y.; Kuang, Z.; Wang, W.; Cao, L. Exploring potential bacterial and fungal biocontrol agents transmit-ted from seeds to sprouts of wheat. Biol. Control 2016, 98, 27–33. [Google Scholar] [CrossRef]
  39. Magoč, T.; Salzberg, S.L. FLASH: Fast Length Adjustment of Short Reads to Improve Genome Assemblies. Bioinformatics 2011, 27, 2957–2963. [Google Scholar] [CrossRef]
  40. Keylock, C.J. Simpson diversity and the Shannon-Wiener index as special cases of a generalized entropy. Oikos 2005, 109, 203–207. [Google Scholar] [CrossRef]
  41. Chao, A.; Lee, S.-M. Estimating the number of classes via sample coverage. J. Am. Stat. Assoc. 1992, 87, 210–217. [Google Scholar] [CrossRef]
  42. Chao, A. Nonparametric estimation of the number of classes in a population. Scand. J. Stat. 1984, 11, 265–270. [Google Scholar]
  43. Ding, Y.; Liu, Y.; Liu, S.; Li, Z.; Tan, X.; Huang, X.; Zeng, G.; Zhou, L.; Zheng, B. Biochar to improve soil fertility. A review. Agron. Sustain. Dev. 2016, 36, 36. [Google Scholar] [CrossRef] [Green Version]
  44. Dai, Z.; Zhang, X.; Tang, C.; Muhammad, N.; Wu, J.; Brookes, P.C.; Xu, J. Potential role of biochars in decreasing soil acidification—A critical review. Sci. Total Environ. 2017, 581-582, 601–611. [Google Scholar] [CrossRef] [PubMed]
  45. Gul, S.; Whalen, J.K.; Thomas, B.W.; Sachdeva, V.; Deng, H. Physico-chemical properties and microbial responses in biochar-amended soils: Mechanisms and future directions. Agric. Ecosyst. Environ. 2015, 206, 46–59. [Google Scholar] [CrossRef]
  46. Hien, T.T.T.; Tsubota, T.; Taniguchi, T.; Shinogi, Y. Enhancing soil water holding capacity and provision of a potassium source via optimization of the pyrolysis of bamboo biochar. Biochar 2021, 3, 51–61. [Google Scholar] [CrossRef]
  47. Liu, Y.; Lu, H.; Yang, S.; Wang, Y. Impacts of biochar addition on rice yield and soil properties in a cold waterlogged paddy for two crop seasons. Field Crop Res. 2016, 191, 161–167. [Google Scholar] [CrossRef]
  48. Liu, Q.; Liu, B.; Zhang, Y.; Lin, Z.; Zhu, T.; Sun, R.; Wang, X.; Ma, J.; Bei, Q.; Liu, G. Can biochar alleviate soil compaction stress on wheat growth and mitigate soil N2O emissions? Soil Biol. Biochem. 2017, 104, 8–17. [Google Scholar] [CrossRef]
  49. Awasthi, M.K.; Li, J.; Kumar, S.; Awasthi, S.K.; Wang, Q.; Chen, H.; Wang, M.; Ren, X.; Zhang, Z. Effects of biochar amendment on bacterial and fungal diversity for co-composting of gelatin industry sludge mixed with organic fraction of municipal solid waste. Bioresour. Technol. 2017, 246, 214–223. [Google Scholar] [CrossRef]
  50. Duan, Y.; Awasthi, S.K.; Chen, H.; Liu, T.; Zhang, Z.; Zhang, L.; Awasthi, M.K.; Taherzadeh, M.J. Evaluating the impact of bamboo biochar on the fungal community succession during chicken manure composting. Bioresour. Technol. 2019, 272, 308–314. [Google Scholar] [CrossRef]
  51. Frąc, M.; Pertile, G.; Panek, J.; Gryta, A.; Oszust, K.; Lipiec, J.; Usowicz, B. Mycobiome Composition and Diversity under the Long-Term Application of Spent Mushroom Substrate and Chicken Manure. Agronomy 2021, 11, 410. [Google Scholar] [CrossRef]
  52. Millanes, A.M.; Diederich, P.; Ekman, S.; Wedin, M. Phylogeny and character evolution in the jelly fungi (Tremellomycetes, Basidiomycota, Fungi). Mol. Phylogenet. Evol. 2011, 61, 12–28. [Google Scholar] [CrossRef] [PubMed]
  53. Spatafora, J.W.; Chang, Y.; Benny, G.L.; Lazarus, K.; Smith, M.E.; Berbee, M.L.; Bonito, G.; Corradi, N.; Grigoriev, I.; Gryganskyi, A.; et al. A phylum-level phylogenetic classification of zygomycete fungi based on genome-scale data. Mycologia 2016, 108, 1028–1046. [Google Scholar] [CrossRef] [Green Version]
  54. Lenoir, I.; Fontaine, J.; Sahraoui, A.L.-H. Arbuscular mycorrhizal fungal responses to abiotic stresses: A review. Phytochemistry 2016, 123, 4–15. [Google Scholar] [CrossRef]
  55. Evelin, H.; Kapoor, R.; Giri, B. Arbuscular mycorrhizal fungi in alleviation of salt stress: A review. Ann. Bot. 2009, 104, 1263–1280. [Google Scholar] [CrossRef] [Green Version]
  56. Sun, Z.; Song, J.; Xin, X.; Xie, X.; Zhao, B. Arbuscular Mycorrhizal Fungal 14-3-3 Proteins Are Involved in Arbuscule Formation and Responses to Abiotic Stresses During AM Symbiosis. Front. Microbiol. 2018, 9, 91. [Google Scholar] [CrossRef] [Green Version]
  57. Muneer, M.A.; Wang, M.; Jing, Z.; Zhou, X.; Wang, P.; Li, L.; Ji, B. Low host specificity of arbuscular mycorrhizal fungi associated with dominant steppe plants in inner mongolia. Appl. Ecol. Environ. Res 2019, 17, 12073–12089. [Google Scholar] [CrossRef]
  58. Muneer, M.A.; Wang, P.; Nisa, Z.-U.; Lin, C.; Ji, B. Potential role of common mycorrhizal networks in improving plant growth and soil physicochemical properties under varying nitrogen levels in a grassland ecosystem. Glob. Ecol. Conserv. 2020, 24, e01352. [Google Scholar] [CrossRef]
  59. Gleason, F.H.; Letcher, P.M.; Commandeur, Z.; Jeong, C.E.; McGee, P.A. The growth response of some Chytridiomycota to temperatures commonly observed in the soil. Mycol. Res. 2005, 109, 717–722. [Google Scholar] [CrossRef] [Green Version]
  60. Tayyab, M.; Islam, W.; Lee, C.G.; Pang, Z.; Khalil, F.; Lin, S.; Lin, W.; Zhang, H. Short-Term Effects of Different Organic Amendments on Soil Fungal Composition. Sustainability 2019, 11, 198. [Google Scholar] [CrossRef] [Green Version]
  61. Waldrop, M.P.; Balser, T.C.; Firestone, M.K. Linking microbial community composition to function in a tropical soil. Soil Biol. Biochem. 2000, 32, 1837–1846. [Google Scholar] [CrossRef]
  62. Pang, Z.; Tayyab, M.; Kong, C.; Hu, C.; Zhu, Z.; Wei, X.; Yuan, Z. Liming Positively Modulates Microbial Community Composition and Function of Sugarcane Fields. Agronomy 2019, 9, 808. [Google Scholar] [CrossRef] [Green Version]
  63. Singh, B.K.; Quince, C.; Macdonald, C.A.; Khachane, A.; Thomas, N.; Abu Al-Soud, W.; Sørensen, S.J.; He, Z.; White, D.; Sinclair, A.; et al. Loss of microbial diversity in soils is coincident with reductions in some specialized functions. Environ. Microbiol. 2014, 16, 2408–2420. [Google Scholar] [CrossRef] [PubMed]
  64. Dang, P.; Vu, N.H.; Shen, Z.; Liu, J.; Zhao, F.; Zhu, H.; Yu, X.; Zhao, Z. Changes in soil fungal communities and vegetation following afforestation with Pinus tabulaeformis on the Loess Plateau. Ecosphere 2018, 9, e02401. [Google Scholar] [CrossRef] [Green Version]
  65. Zhang, T.; Wang, N.-F.; Liu, H.-Y.; Zhang, Y.-Q.; Yu, L.-Y. Soil pH is a key determinant of soil fungal community composition in the Ny-Ålesund Region, Svalbard (High Arctic). Front. Microbiol. 2016, 7, 227. [Google Scholar] [CrossRef]
  66. Li, Y.; Li, Z.; Arafat, Y.; Lin, W. Studies on fungal communities and functional guilds shift in tea continuous cropping soils by high-throughput sequencing. Ann. Microbiol. 2020, 70, 1–12. [Google Scholar] [CrossRef] [Green Version]
  67. Siles, J.A.; Margesin, R. Abundance and diversity of bacterial, archaeal, and fungal communities along an altitudinal gradient in alpine forest soils: What are the driving factors? Microb. Ecol. 2016, 72, 207–220. [Google Scholar] [CrossRef] [Green Version]
  68. Bahram, M.; Hildebrand, F.; Forslund, S.K.; Anderson, J.L.; Soudzilovskaia, N.A.; Bodegom, P.M.; Bengtsson-Palme, J.; Anslan, S.; Coelho, L.P.; Harend, H.; et al. Structure and function of the global topsoil microbiome. Nature 2018, 560, 233–237. [Google Scholar] [CrossRef]
  69. Siciliano, S.D.; Palmer, A.S.; Winsley, T.; Lamb, E.; Bissett, A.; Brown, M.V.; van Dorst, J.; Ji, M.; Ferrari, B.C.; Grogan, P. Soil fertility is associated with fungal and bacterial richness, whereas pH is associated with community composition in polar soil microbial communities. Soil Biol. Biochem. 2014, 78, 10–20. [Google Scholar] [CrossRef]
Figure 1. The effects of different concentration of bamboo biochar on soil physicochemical properties. (a) Soil pH, (b) Total phosphorous (TP); (c) Total nitrogen (TN); (d) Total carbon (TC); (e) C:N ratio; (f) Available phosphorous (AP); (g) Available potassium (AK). The bar graphs with different lowercase letters show a significant difference between treatments (LSD test, p < 0.05). B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Figure 1. The effects of different concentration of bamboo biochar on soil physicochemical properties. (a) Soil pH, (b) Total phosphorous (TP); (c) Total nitrogen (TN); (d) Total carbon (TC); (e) C:N ratio; (f) Available phosphorous (AP); (g) Available potassium (AK). The bar graphs with different lowercase letters show a significant difference between treatments (LSD test, p < 0.05). B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Microorganisms 09 01385 g001
Figure 2. Relative abundance of topsoil fungal species. (a) The relative abundance of topsoil fungal communities at Phylum level; (b) Comparison of different soil fungal communities under different treatments of bamboo biochar. The relative abundance of the top 10 phyla has been shown and unclassified/less abundant classified as others. B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Figure 2. Relative abundance of topsoil fungal species. (a) The relative abundance of topsoil fungal communities at Phylum level; (b) Comparison of different soil fungal communities under different treatments of bamboo biochar. The relative abundance of the top 10 phyla has been shown and unclassified/less abundant classified as others. B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Microorganisms 09 01385 g002
Figure 3. The alpha diversity of soil fungal species. The different alpha diversity indices were calculated under different bamboo biochar concentrations: (a) Observed species; (b) ACE index; (c) Chao1 index; (d) Shannon diversity index. The bar graphs with different lowercase letters show significant differences between various treatments (LSD test, p < 0.05). B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Figure 3. The alpha diversity of soil fungal species. The different alpha diversity indices were calculated under different bamboo biochar concentrations: (a) Observed species; (b) ACE index; (c) Chao1 index; (d) Shannon diversity index. The bar graphs with different lowercase letters show significant differences between various treatments (LSD test, p < 0.05). B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Microorganisms 09 01385 g003
Figure 4. Changes in soil fungal community composition. (a) Unweighted UniFrac principal coordinate analysis (PCoA) showing differences in fungal communities; (b) Unweighted pair group method with arithmetic mean analysis (UPGMA) of fungal communities. B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Figure 4. Changes in soil fungal community composition. (a) Unweighted UniFrac principal coordinate analysis (PCoA) showing differences in fungal communities; (b) Unweighted pair group method with arithmetic mean analysis (UPGMA) of fungal communities. B0, BB5, BB20, and BB80 represent different bamboo biochar concentrations of 0, 5, 20, and 80 g kg−1, respectively.
Microorganisms 09 01385 g004
Figure 5. Effects of soil physicochemical properties on fungal communities. The effects of soil properties were tested on soil fungal communities: (a) RDA analysis (distance-based redundancy analysis) on phylum level; (b) Correlation analysis between soil properties and abundant taxa of fungi at phylum level; (c) RDA analysis on genera level; (d) Correlation analysis between soil properties and abundant taxa of fungi at the genera level.
Figure 5. Effects of soil physicochemical properties on fungal communities. The effects of soil properties were tested on soil fungal communities: (a) RDA analysis (distance-based redundancy analysis) on phylum level; (b) Correlation analysis between soil properties and abundant taxa of fungi at phylum level; (c) RDA analysis on genera level; (d) Correlation analysis between soil properties and abundant taxa of fungi at the genera level.
Microorganisms 09 01385 g005
Table 1. Pearson correlation (at phylum level) between the Bray-Curtis dissimilarity score and soil properties using the mantel test.
Table 1. Pearson correlation (at phylum level) between the Bray-Curtis dissimilarity score and soil properties using the mantel test.
Variable NameCorr-MethodCorr-Resp-ResSignificance
pHPearson0.7110.004**
TNPearson0.8710.001***
TPPearson0.6500.013*
APPearson0.7790.004**
AKPearson0.6670.007**
TCPearson0.8620.001***
C:NPearson0.8650.001***
Level of significance at p < 0.05, p < 0.01, and p < 0.001 is denoted by *, **, and ***, respectively.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tarin, M.W.K.; Fan, L.; Xie, D.; Tayyab, M.; Rong, J.; Chen, L.; Muneer, M.A.; Zheng, Y. Response of Soil Fungal Diversity and Community Composition to Varying Levels of Bamboo Biochar in Red Soils. Microorganisms 2021, 9, 1385. https://doi.org/10.3390/microorganisms9071385

AMA Style

Tarin MWK, Fan L, Xie D, Tayyab M, Rong J, Chen L, Muneer MA, Zheng Y. Response of Soil Fungal Diversity and Community Composition to Varying Levels of Bamboo Biochar in Red Soils. Microorganisms. 2021; 9(7):1385. https://doi.org/10.3390/microorganisms9071385

Chicago/Turabian Style

Tarin, Muhammad Waqqas Khan, Lili Fan, Dejin Xie, Muhammad Tayyab, Jundong Rong, Lingyan Chen, Muhammad Atif Muneer, and Yushan Zheng. 2021. "Response of Soil Fungal Diversity and Community Composition to Varying Levels of Bamboo Biochar in Red Soils" Microorganisms 9, no. 7: 1385. https://doi.org/10.3390/microorganisms9071385

APA Style

Tarin, M. W. K., Fan, L., Xie, D., Tayyab, M., Rong, J., Chen, L., Muneer, M. A., & Zheng, Y. (2021). Response of Soil Fungal Diversity and Community Composition to Varying Levels of Bamboo Biochar in Red Soils. Microorganisms, 9(7), 1385. https://doi.org/10.3390/microorganisms9071385

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