Forest types matter for the community and co-occurrence network patterns of soil bacteria, fungi, and nematodes

Tree growth influences the biological, physical, and chemical properties of the soil through the input of different types of litter and various root exudates. However, our understanding of tree-mediated effects on the composition and diversity of soil biota remains limited. This study aimed to determine the effects of physically neighboring forest types (i.e., an artificial Japanese cedar ( Cryptomeria japonica ) plantation vs. a broadleaf ( Quercus serrata ) secondary forest) on individual bacterial, fungal, and nematode communities and the associations among these inter-kingdoms. Bacterial, fungal, and nematode aggregates were estimated using MiSeq high-throughput sequencing system. The amplicon sequence variant richness of fungi and nematodes was significantly greater in the cedar plantation than in the broadleaf forest, and the three soil biota community structures were significantly clustered among the forest types. Environmental factors such as soil pH, C, N, and C/N ratio significantly influenced the three soil biota community structures. The bacterial–fungal–nematode co-occurrence network of the broadleaf forest had more nodes and edges than that of the cedar plantation. Moreover, Ascomycota and Basidiomycota fungi mainly co-occurred with fungivorous nematodes in the cedar and broadleaf forests, respectively. Our results suggested that unique soil biota communities and characteristic co-occurrence network patterns were established among the tripartite inter-kingdom relationships between adjacent forest types. • We studied bacteria, fungi and nematodes in a coniferous and broadleaf forest. • Three soil biota were estimated using the MiSeq high-throughput sequencing system. • Soil biological community structures were clustered between two forest types. • Co-occurrence network patterns of soil biota were different between two forest types. • This study provides tripartite inter-kingdom relationships in forest soils.

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Publication Details

Journal
Pedobiologia
Published
2024-10-31
DOI
https://doi.org/10.1016/j.pedobi.2024.151004
Citations
13
Primary Topic
Nematode management and characterization studies
Type
article
Field-Weighted Citation Impact
7.79

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article

Forest types matter for the community and co-occurrence network patterns of soil bacteria, fungi, and nematodes

Yosuke Matsuda, Yudai Kitagami
13 citations
Pedobiologia
Nematode management and characterization studies
7.79
article

Forest types matter for the community and co-occurrence network patterns of soil bacteria, fungi, and nematodes

Yosuke Matsuda, Yudai Kitagami
article en
13 citations

Abstract

Tree growth influences the biological, physical, and chemical properties of the soil through the input of different types of litter and various root exudates. However, our understanding of tree-mediated effects on the composition and diversity of soil biota remains limited. This study aimed to determine the effects of physically neighboring forest types (i.e., an artificial Japanese cedar ( Cryptomeria japonica ) plantation vs. a broadleaf ( Quercus serrata ) secondary forest) on individual bacterial, fungal, and nematode communities and the associations among these inter-kingdoms. Bacterial, fungal, and nematode aggregates were estimated using MiSeq high-throughput sequencing system. The amplicon sequence variant richness of fungi and nematodes was significantly greater in the cedar plantation than in the broadleaf forest, and the three soil biota community structures were significantly clustered among the forest types. Environmental factors such as soil pH, C, N, and C/N ratio significantly influenced the three soil biota community structures. The bacterial–fungal–nematode co-occurrence network of the broadleaf forest had more nodes and edges than that of the cedar plantation. Moreover, Ascomycota and Basidiomycota fungi mainly co-occurred with fungivorous nematodes in the cedar and broadleaf forests, respectively. Our results suggested that unique soil biota communities and characteristic co-occurrence network patterns were established among the tripartite inter-kingdom relationships between adjacent forest types. • We studied bacteria, fungi and nematodes in a coniferous and broadleaf forest. • Three soil biota were estimated using the MiSeq high-throughput sequencing system. • Soil biological community structures were clustered between two forest types. • Co-occurrence network patterns of soil biota were different between two forest types. • This study provides tripartite inter-kingdom relationships in forest soils.

PedobiologiaVol. 107
Mie University (JP)
Japan Society for the Promotion of Science
Life in Land
Openalex Percentile: Top 3%
Nematode management and characterization studies
7.79
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