Data from: Bacterial and fungal growth on fungal necromass and its diverse components: shared profiles and divergent constraints revealed by high-throughput phenotyping
Data files
Jul 15, 2025 version files 868.82 KB
-
bact_norm.csv
170.75 KB
-
bacteria_rarefied_otu_mapping.csv
202.26 KB
-
bacteria_taxonomy.csv
120.72 KB
-
FTIR_peaks.csv
9.02 KB
-
fungal_norm.csv
219.11 KB
-
fungi_rarefied_otu_mapping.csv
68.17 KB
-
fungi_taxonomy.csv
43.61 KB
-
microbial_norm_nmds.csv
30.56 KB
-
README.md
4.63 KB
Abstract
While fungal necromass is increasingly recognized as a major source of persistent carbon (C) in soils, the relative functional roles of bacteria and fungi in decomposing necromass are not fully resolved, and the processes that select for necromass decomposer communities from the broader soil microbial community are an emerging area of interest. In this study, we characterized the growth of 52 bacterial and 83 fungal strains isolated from necromass and soil on 22 C substrates, including different necromass phenotypes, fungal cell wall polymers, dimers, and monomers. We found that isolation habitat of the strains used in this experiment (necromass vs. soil) had no effect on the substrates they were able to use. Isolates from both microbial domains were able to grow on different labile carbon substrates, polymers, and necromass phenotypes. However, fungal growth was limited by necromass melanin content while bacterial growth was more limited by the abundance of cell wall polysaccharides. Additionally, overall differences in substrate use between bacteria and fungi were most pronounced on polymer substrates. Collectively, our results suggest that there is substantial functional overlap in necromass substrate use across microbial domains, but some notable differences in bacterial and fungal utilization of cell wall polymers, which can function as a direct energy source or a means of accessing other compounds within necromass. Future studies assessing bacteria and fungi decomposing necromass together rather than in isolation will help to uncover potential physical and chemical interactions within and between these two domains during the decay of this important source of persistent soil C.
Dataset DOI: 10.5061/dryad.x3ffbg7zc
Description of the data and file structure
This dataset documents the substrate utilization of 52 bacterial and 83 fungal strains isolated from a pine forest plot at the Cedar Creek Ecosystem Science Reserve. The optical density of each strain on a given substrate was used to quantify total growth across 22 carbon substrates. Additionally this dataset includes files generated from 16S and ITS high throughput sequencing at the same forest plot from which the strains were isolated, including bacterial and fungal OTUs files and taxonomic assignments.
Files
bact_norm.csv
: This file documents bacterial growth data, including strain name and taxonomic information, substrate names and groupings, isolation habitat of strains, and growth (as optical density) on each substrate.
fungal_norm.csv
: This file documents fungal growth data, including strain name and taxonomic information, substrate names and groupings, isolation habitat of strains, and growth (as optical density) on each substrate.
microbial_norm_nmds.csv
: This file documents microbial growth data of each strain on each substrate normalized by growth across all substrates formatted for NMDS analysis by domain
bacteria_taxonomy.csv
: This file documents taxonomy of OTUs generated by bacterial high-throughput sequencing of soil communities at Cedar Creek Ecosystem Science Reserve from necromass bags and surrounding soil.
fungi_taxonomy.csv
: This file documents taxonomy of OTUs generated by fungal high-throughput sequencing of soil communities at Cedar Creek Ecosystem Science Reserve from necromass bags and surrounding soil.
bacteria_rarefied_otu_mapping.csv
: This file contains rarefied bacterial OTU tables
fungi_rarefied_otu_mapping.csv
: This file contains rarefied fungal OTU tables
FTIR_peaks.csv
: This file contains FTIR peak absorbance data for each of the four necromass phenotypes tested
Variables and abbreviations:
-
Strain: Strain identifiers
-
Substrate: Carbon substrates analyzed. Note that NAG = N-acetyl-glucosamine, L-DOPA = l-3,4-dihydroxyphenylalanine, HighMel refers to high melanin necromass, LowMel refers to low melanin necromass, WC denotes whole cell (unwashed) necromass, and CW denotes the cell wall (washed) necromass type.
-
SubstrateGroup: Categorization of a substrate as one of three groups: Soluble (specifically monomers and dimers), Polymer, or Necrotype (necromass phenotypes).
-
Habitat: Habitat from which strain was isolated (one of three options: high melanin necromass, low melanin necromass, or soil).
-
Phylum: Phylum of strain or OTU
-
Class: Class of strain or OTU
-
Order: Order of strain or OTU
-
Family: Family of strain or OTU
-
Genus: Genus of strain or OTU
-
Species: Species of strain or OTU
-
BinGrowth: Binary indicator column, with 1 indicating growth on a substrate and 0 no growth. A threshold of ∆ OD > 0.1 was used to determine growth.
-
NormalizedOD: Optical density at a 600nm wavelength, normalized by controls and blanks.
-
Avg_growth_all_subs: Average growth of a strain across all substrates in all replicates
-
Avg*_*growth_norm: Average growth of a strain on a given substrate, normalized by average growth across all substrates.
-
Log_avg_norm: Log(x+1) transformation of Avg_growth_norm
-
Domain: Domain of strain (either bacteria or fungi)
-
Necrotype: Necromass type (one of four phenotypes: High melanin WC, Low melanin WC, High melanin CW, Low melanin CW)
-
Sample_ID: Name of sample with replicate number
-
Peak X: FTIR peak wave number (cm^-1), as called by Origin Lab
-
Peak Y: Height (absorbance) of the FTIR peak, as called by Origin Lab
-
peak*maillard*paper: Peak wave numbers annotated according to Maillard, Pflender, et al. 2023
-
Functional group: Bond types of peaks
-
Melanization: Melanin content in necromass (high vs. low melanin)
-
wall_status: Necromass cell wall type (cell wall vs. whole cell)
Code/software
All data were analyzed and visualized in R 4.3.0 (R Core Team 2023). We used the lme4 and lmerTest packages to run linear mixed models on the growth data and the emmeans package for posthoc tests. We used the vegan package for all analysis of microbial sequencing data.
Access information
Other publicly accessible locations of the data:
- n/a
Data was derived from the following sources:
- n/a