Preservation and storage effects on river sediment microbiomes: Implications for community stability and ecological inference
Serrana, J.; Posselt, M.
Show abstract
Sample preservation and storage can alter microbial communities between sampling and analysis, influencing the interpretation of environmental microbiome data. We investigated how preservation method, storage temperature, and storage duration affect river sediment microbiomes using 16S and 18S rRNA gene amplicon sequencing. Sediments were preserved in ethanol, nucleic acid preservation (NAP) buffer, or without a preservative, and stored at room temperature or frozen at -20 degrees Celsius or -80 degrees Celsius for up to eight weeks. We report that preservation method, storage conditions, and their interaction influenced estimates of microbial diversity and community composition. Differences between treatments were detectable after approximately 18 h and generally increased with storage time. Frozen samples remained closest to their treatment-specific baseline communities, whereas room-temperature storage, particularly without a preservative, produced the largest changes. Notably, ethanol and NAP buffer preservation reduced, but did not prevent, changes during room-temperature storage. Preservation also influenced taxonomic patterns and the outcome of phylogenetic null-model analyses. Frozen storage generally retained the sample's assembly-metric estimates, with stronger signatures of deterministic community assembly, whereas room-temperature storage shifted the inferred balance toward stochastic processes. Our results show that preservation and storage conditions can affect both the microbial community measured and the ecological conclusions drawn from it. Among the conditions tested, frozen storage provided the best preservation of sediment microbial communities and should be preferred when samples cannot be processed immediately.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Enhancing DNA recovery in low-biomass snow algae samples: a comparative study of extraction methods and their effect on community composition 96%
- Viral enumeration using cost-effective wet-mount epifluorescence microscopy for aquatic ecosystems and modern microbialites 94%
- Metals alter membership but not diversity of a headwater stream microbiome 93%
Similar papers in this journal
- Microbial Diversity and Community Shifts in a Petroleum Reservoir under Production: Effects of Water Breakthrough and Anthropogenic Alterations 95%
- Spatial and Temporal Dynamics at an Actively Silicifying Hydrothermal System 94%
- Influence of light on particulate organic matter utilization by attached and free-living marine bacteria 94%
Similar papers in this journal
- Watered-down biodiversity? A comparison of metabarcoding results from DNA extracted from matched water and bulk tissue biomonitoring samples 95%
- In-field bioreactors demonstrate dynamic shifts in microbial communities in response to geochemical perturbations. 93%
- Evaluation of nanopore sequencing for increasing accessibility of eDNA studies in biodiverse countries 93%
Similar papers in this journal
- Large-Scale, Multi-Year Microbial Community Survey of a Freshwater Trout Aquaculture Facility 93%
- A ubiquitous and diverse methanogenic community drives microbial methane cycling in eutrophic coastal sediments 93%
- Microbial Community Dynamics of a Sequentially Fed Anaerobic Digester Treating Solid Organic Waste 93%
Similar papers in this journal
- A retrospective longitudinal study of adenovirus group F, norovirus GI and GII, rotavirus, and enterovirus nucleic-acids in wastewater solids at two wastewater treatment plants: Solid-liquid partitioning and relation to clinical testing data 92%
- Microbial Nitrogen Metabolism in Chloraminated Drinking Water Reservoirs 92%
- Ecological Observations Based on Functional Gene Sequencing Are Sensitive to the Amplicon Processing Method 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.