Fig 1.
Variation in the diversity and community structure of soil fungi along sampling depth.
(a) Number of fungal OTUs per sampling position. A box indicates the first and third quartiles and a thick line shows the median of a focal sampling depth. (b) Relationship between the number of sampling positions and that of fungal OTUs at each sampling depth. The number of sampling positions from which 1000 or more sequencing reads were obtained decreased along sampling depth. (c) NMDS visualization of fungal community structure.
Fig 2.
Variation in fungal community compositions across sampling depths.
(a) Taxonomic composition at the order level. (b) Compositions of fungal functional group (guild) inferred by FUNGuild.
Fig 3.
Habitat preferences of soil fungi.
(a) Habitat preferences of top-5 fungi with the largest sample counts at each sampling depth. The ID of each fungal OTU (F_xx) corresponds to that in S1 Data. (b) Relationship between z-standardized habitat preferences and the P values (false discovery rate) obtained from a randomization analysis.
Fig 4.
Positive co-occurrence networks.
Based on the SparCC (left) and Spiec-Easi (right) methods, pairs of fungi that co-occurred frequently in the same soil samples were indicated. Fungal OTUs for which neither positive nor negative (Fig 5) interactions with other OTUs were inferred do not appear in the networks. Discrete network modules (clusters) are indicated by dotted lines. The ID and the lowest taxonomic information are shown for each fungal OTU. (a-b) O horizon (+2 cm). (c-d) O-A boundary (0 cm). (e-f) A horizon (-3 cm).
Fig 5.
Negative co-occurrence networks.
Based on the SparCC (left) and Spiec-Easi (right) methods, pairs of fungi displaying segregated distributions across the soil samples were indicated. The ID and the lowest taxonomic information are shown for each fungal OTU. (a-b) O horizon (+2 cm). (c-d) O-A boundary (0 cm). (e-f) A horizon (-3 cm).