Data from: Multiple stressors affect function rather than taxonomic structure of freshwater microbial communities
Data files
Oct 31, 2025 version files 1.75 GB
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README.md
3.72 KB
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Sequences.zip
1.75 GB
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toledo_data_absorbance.csv
31.75 KB
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toledo_data_function.csv
4.53 KB
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toledo_pond_data.csv
2.59 KB
Abstract
Microbial community responses to environmental stressors are often characterised by assessing changes in taxonomic structure, but such changes, or lack thereof, may not accurately reflect functional changes that are critical to ecosystem processes. While community-level functional responses have been studied, these are often done under highly controlled, single-stressor scenarios that fail to reflect the complexities of multiple interacting environmental stressors in field conditions. We conducted a manipulative experiment to investigate the individual and combined effects of nutrient enrichment and salinisation – two key, interacting stressors in freshwater systems – on the taxonomic structure and metabolic function of benthic microbial communities using 1,000 L open freshwater ponds established >10 years ago in the field. Microbial communities were pre-established on tiles under ambient conditions for 30 days, and then transferred to ponds with elevated nutrients (+10mg/L N, +1mg/L P), elevated salinity (+15g/L NaCl), both stressors combined, or to ambient ponds, and community structure and function were measured over 90 days. We found that both stressors individually impacted community-level metabolic function, with distinct differences in the direction and timing of these effects. Salinisation decreased metabolic rates within seven days before recovering, nutrient enrichment increased metabolic rates after 30 days, and both stressors combined drove strong decreases in metabolic rates and shifted community metabolic profiles independent of time. Notably, functional changes occurred without significant alterations in bacterial community structure, underscoring the importance of measuring functional responses to environmental stressors. These results imply that critical microbial functions, including decomposition and organic carbon release, are likely to be impaired in freshwater systems under multiple stressors, even when taxonomic structure remains relatively stable. This dataset contains the raw sequences, environmental metadata, absorbance values from the metabolic assay, and the functional metrics from the experiment.
Principle Investigator Contact Information
Name: Rose Fuggle
Institution: University of Sydney
Email: rose.fuggle@sydney.edu.au
Alternate Contact Information
Name: Ziggy Marzinelli
Institution: University of Sydney
Email: e.marzinelli@sydney.edu.au
Dataset Overview
This dataset contains the data in Fuggle et al 2024 npj biofilms and microbiomes, testing the hypothesis that the structure and function of freshwater benthic microbial communities are affected by salinisation and nutrient enrichment, and that combined stressor effects differ from the sum of individual stressor effects. Data was obtained from benthic microbial communities grown on tiles in outdoor mesocosms. It includes 1) biofilm in situ functional metrics, including oxygen production and consumption, concentration of green alage, diatoms and cyanobacteria, total chlorophyll a concentration in biofilms, photosynthetic efficiency, 2) 16S rRNA ASV sequences from swabbed biofilms, 3) OD590 absorbance values using Ecoplates incubated with biofilm suspensions, 4) pond water data including oxygen concentrations, chlorophyll a, pH, conductivity, nitrite and phosphate and 5) csv file with oxygen incubation data calculations.
Dates of Data Collection
Data was collected in May - September 2023.
Data Spatial Scope
Data was collected from an experimental field site in Toledo, Spain, as part of the Iberian Pond Network infrastructure.
Funding
This study has received funding from the AQUACOSM-plus project of the European Union's Horizon 2020 research and innovation programme under grant agreement No. 871081 and Transnational Access project SalNutFun. Additional funds were received from The University of Sydney WG Murrell funds.
Files and Folders
Zip File: Sequences.zip
This compressed folder contains forward and reverse reads as fasta.gz files for each sample. Samples are named as[Treatment]-[Pond]-[Time]. Treatment group abbreviations match abbreviations in the manuscript.
File: toledo_data_absorbance.csv
This file contains the OD590 absorbance values for each carbon source for each sample. Samples are named [Treatment]-[Pond]-[Time]-[lab incubation hour]. This data file contains OD590 absorbance values that represent microbial or enzymatic activity across different carbon sources for each sample.
Each column corresponds to a carbon compound (e.g., glucose, malic acid, mannose), with separate measurements for the maximum slope and mean slope of OD590 readings—indicating the rate and extent of substrate utilization.
File: toledo_data_function.csv
This file contains the functional values for each sample. Samples are named as[Treatment]-[Pond]-[Time]. Treatment group abbreviations match abbreviations in the manuscript (A = Ambient, S = High Salinity, N = Nutrient Enriched, SN = High Salinity + Nutrient Enriched, C = Baseline Controls). Days are 1, 7 and 30. Concentration_Green_Algae, Concentration_Cyanobacteria and Concentration_Diatoms and Biomass are all in the units micromoles of chlorophyll-a per square centimetre. PAM_Yield and PAM_F0 are unitless values. Copies is the copies of the 16S rRNA gene as determined by qPCR. GPP is Gross Primary Productivity, NPP is Net Primary Productity and CR is Community Respiration, all presented in the units micromoles of oxygen gas per litre (µM/L) per hour.
File: toledo_pond_data.csv
This file contains values for pond water. This data file shows measurements of pond water quality parameters (Chlorophyll-a, condictivity, pH, Dissolved oxygen, nitrites and phosphates)
