| Literature DB >> 35205878 |
Fei Zhong1,2, Xinlei Fan3, Wenhui Ji1, Zhixing Hai1, Naican Hu1, Xintong Li1, Guoyuan Liu1,2, Chunmei Yu1,2, Yanhong Chen1,2, Bolin Lian1,2, Hui Wei1,2, Jian Zhang1,2.
Abstract
As an important resource for screening microbial strains capable of conferring stress tolerance in plants, the fungal community associated with the plants grown in stressful environments has received great attention. In this study, high-throughput sequencing was employed to study the rhizosphere fungal community in the reclaimed area (i.e., sites F, H, and T) of the eastern coast of China. Moreover, endophytic fungi from the root of six plant species colonizing the investigated sites were isolated and identified. The differences in soil physicochemical parameters, fungal diversity, and community structure were detected among the sampling sites and between the seasons. Ectomycorrhizal (ECM) fungi (e.g., genera Tuber and Geopora) were dominant at site F, which was characterized by high soil total carbon (SC) and total nitrogen (SN) contents and low soil electrical conductivity (EC) value. Arbuscular mycorrhizal (AM) fungi, including genera Glomus, Rhizophagus, and Entrophospora were dominant at sites H (winter), H (summer), and T (summer), respectively. The positive relationship between the EC value and the abundance of genus Glomus indicated the ability of this AM fungus to protect plants against the salt stress. Endophytic fungi at sites F (Aspergillus and Tetracladium), H (Nigrospora), and T (Nigrospora, Coniochaeta and Zopfiella) were recognized as the biomarkers or keystone taxa, among which only genus Aspergillus was isolated from the plant roots. The aforementioned AM fungi and endophytic fungi could contribute to the promotion of plant growth in the newly reclaimed land.Entities:
Keywords: arbuscular mycorrhizal fungi; ectomycorrhizal fungi; endophytic fungi; fungal community composition; the reclaimed land
Year: 2022 PMID: 35205878 PMCID: PMC8878519 DOI: 10.3390/jof8020124
Source DB: PubMed Journal: J Fungi (Basel) ISSN: 2309-608X
Description of the study sites.
| Sampling Sites | F | H | T | |||
|---|---|---|---|---|---|---|
| Latitude/Longitude | 32.603° N, 120.880° E | 32.609° N, 120.933° E | 32.155° N, 121.475° E | |||
| Vegetation Information | a dense tree canopy | a sparse tree layer and dense herb and shrub layers | sparse tree, herb and shrub layers | |||
| Soil properties | ||||||
| Seasons | Summer | Winter | Summer | Winter | Summer | Winter |
| pH | 9.58 ± 0.05 | 8.84 ± 0.24 | 9.53 ± 0.27 | 8.92 ± 0.03 | 9.79 ± 0.17 | 8.70 ± 0.17 |
| EC (μS/cm) | 104.3 ± 33.2 | 129.3 ± 26.1 | 619.7 ± 217.9 | 2668.0 ± 321.2 | 384.8 ± 45.4 | 1005.0 ± 136.4 |
| SN (%) | 0.07 ± 0.02 | 0.12 ± 0.02 | 0.05 ± 0.01 | 0.06 ± 0.02 | 0.04 ± 0.01 | 0.05 ± 0.01 |
| SC (%) | 1.44 ± 0.19 | 1.80 ± 0.12 | 1.25 ± 0.06 | 1.32 ± 0.09 | 1.23 ± 0.03 | 1.17 ± 0.05 |
The species diversity and richness index of the fungal community.
| Sampling Sites | Seasons | Diversity Index | Richness Index | ||
|---|---|---|---|---|---|
| Shannon | Simpson | ACE | Chao1 | ||
| F | Summer | 3.901 ± 0.312 | 0.750 ± 0.061 | 192.310 ± 22.377 | 194.241 ± 22.156 |
| Winter | 5.599 ± 0.129 | 0.947 ± 0.010 | 306.042 ± 21.626 | 309.471 ± 23.004 | |
| H | Summer | 3.446 ± 0.030 | 0.747 ± 0.009 | 142.355 ± 5.127 | 144.526 ± 4.278 |
| Winter | 4.959 ± 0.598 | 0.913 ± 0.037 | 269.587 ± 11.640 | 271.892 ± 8.320 | |
| T | Summer | 2.653 ± 0.135 | 0.535 ± 0.028 | 121.253 ± 11.840 | 121.558 ± 12.478 |
| Winter | 4.778 ± 0.401 | 0.906 ± 0.021 | 238.112 ± 33.987 | 240.534 ± 34.843 | |
Figure 1Bacterial community composition at the phylum level (a) and the relative abundances of fungal functionally guilds (b).
Figure 2Non-metric multidimensional scaling plot for soil fungal communities at the genus level.
Figure 3Top 30 genera with the highest Gini score according to the random forest analysis (investigated sites (a) and seasons (b)) were chosen to create the heat map. The abundances of these genera were converted to log10(x + 1) values.
Figure 4(a) LDA scores of the identified biomarkers in the six samples by linear discriminant analysis effect size pipeline analysis. (b–d) Co-occurrence network interactions of the bacterial communities in the investigated sites (i.e., T (b), H (c), and F (d)). Connections represent strong (Spearman’s p > 0.8) and significant (p < 0.01) correlations. Node size is proportional to the number of connections.
Figure 5Two−dimensional ordination diagram of fungi-environmental factors. Canonical correspondence analysis was used to reflect the relationship between the fungi (top 10 dominant genera and the genera identified by random forest, LefSe, and co-occurrence analysis) and environmental factors.