2021
DOI: 10.3389/fpls.2021.749871
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Characteristics of the Fungal Communities and Co-occurrence Networks in Hazelnut Tree Root Endospheres and Rhizosphere Soil

Abstract: Hazelnut has gained economic value in China in recent years, but its large-scale planting and research started later than other countries. Conducting basic research on hazelnut trees requires studying their related microorganisms. Here, we used high-throughput DNA sequencing to quantify the fungal communities in the root endospheres and rhizosphere soil of four hazelnut species. Fungal diversity in the rhizosphere soil was significantly higher than that in the root endospheres. Rhizosphere soil had more Mortie… Show more

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Cited by 11 publications
(5 citation statements)
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“…In pine stands without shrubs proportion of these phyla was comparable. The dominance of the Ascomycota group was also found in the study of the structure of fungal populations in the root zone of various species of hazelnut 50 . It seems that high rate of this phylum is vulnerable from the point of view the ability of fungi to decompose of PAHs.…”
Section: Discussionmentioning
confidence: 67%
“…In pine stands without shrubs proportion of these phyla was comparable. The dominance of the Ascomycota group was also found in the study of the structure of fungal populations in the root zone of various species of hazelnut 50 . It seems that high rate of this phylum is vulnerable from the point of view the ability of fungi to decompose of PAHs.…”
Section: Discussionmentioning
confidence: 67%
“…A lower level of modularity indicates that cross-module associations between different groups may be more common 48 . If environmental interference affects some modules, then this impact may spread to other modules 17 . It is worth mentioning that there are more positive rather than competitive relationships in fungal communities, possibly because these fungi have sufficient resources.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the modularity exhibited in microbial networks is also a focus of research. The complexity and diversity of microbial communities can be revealed based on the greedy modularity optimization method 17 , and key taxa (Connector hubs and Module hubs) in co-occurrence networks can be identified through highly correlated taxonomic groups 18,19 . These key groups are crucial for maintaining network stability and the functionality of specific ecosystems 20 .…”
Section: Introductionmentioning
confidence: 99%
“…In this study, we applied correlation-based network results to analyze the interaction between OTUs of different treatments (Sparcc's correlation N > 0.5 or <−0.5, p < 0.01). It is well-known that more nodes and edges and higher community diversity represent a complex and stable network structure (Hernandez et al, 2021 ), and high modularity is also an indicator of the network's structural stability (Ma et al, 2021 ). In our study, four different treatments had different microbial co-occurrence network structures.…”
Section: Discussionmentioning
confidence: 99%