Standard filtration practices significantly distort planktonic microbial diversity estimates
Citation
MGnify (2019). Standard filtration practices significantly distort planktonic microbial diversity estimates. Sampling event dataset https://doi.org/10.15468/bx3xch accessed via GBIF.org on 2024-12-12.Description
Filtration is the standard method for isolating planktonic microbial biomass for analysis. It is unclear how the taxonomic composition of biomass on a filter changes as a function of filtered water volume, potentially due to filter clogging. Using seawater from a marine oxygen minimum zone, we conducted experiments to quantify the 16S rRNA gene composition of biomass on a prefilter (GF/A, 1.6 um pore size) and a downstream collection filter (Sterivex, 0.2 um) over a range of typical collection volumes, from 50 to 5000 ml. Significant community shifts occurred in both filter fractions, and were most dramatic in the prefilter community. Sequences affiliated with Vibrionales decreased from ~40-60% of the prefilter datasets at low volumes (50-500 ml) to less than 5% at higher volumes, while groups such at the Chromatiales and Thiohalorhabdales followed opposite trends, increasing from minor representation to become the dominant taxa at higher volumes. Taxa shown previously to be associated with marine particles, including diverse members of the Deltaproteobacteria, Planctomycetes and Bacteroidetes, were among those showing the greatest increase with filter volume (4 to 27-fold). Metrics of taxon richness (97% sequence clusters) also varied significantly with volume, and in opposing directions depending on filter fraction, highlighting potential biases in community complexity estimates. These data raise serious concerns for studies using filter fractionation to separate biomass for quantitative comparisons of aquatic microbial diversity, for example between free-living and particle-associated communities.Sampling Description
Sampling
Filtration is the standard method for isolating planktonic microbial biomass for analysis. It is unclear how the taxonomic composition of biomass on a filter changes as a function of filtered water volume, potentially due to filter clogging. Using seawater from a marine oxygen minimum zone, we conducted experiments to quantify the 16S rRNA gene composition of biomass on a prefilter (GF/A, 1.6 um pore size) and a downstream collection filter (Sterivex, 0.2 um) over a range of typical collection volumes, from 50 to 5000 ml. Significant community shifts occurred in both filter fractions, and were most dramatic in the prefilter community. Sequences affiliated with Vibrionales decreased from ~40-60% of the prefilter datasets at low volumes (50-500 ml) to less than 5% at higher volumes, while groups such at the Chromatiales and Thiohalorhabdales followed opposite trends, increasing from minor representation to become the dominant taxa at higher volumes. Taxa shown previously to be associated with marine particles, including diverse members of the Deltaproteobacteria, Planctomycetes and Bacteroidetes, were among those showing the greatest increase with filter volume (4 to 27-fold). Metrics of taxon richness (97% sequence clusters) also varied significantly with volume, and in opposing directions depending on filter fraction, highlighting potential biases in community complexity estimates. These data raise serious concerns for studies using filter fractionation to separate biomass for quantitative comparisons of aquatic microbial diversity, for example between free-living and particle-associated communities.Method steps
- Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1
Taxonomic Coverages
Geographic Coverages
Bibliographic Citations
- Padilla CC, Ganesh S, Gantt S, Huhman A, Parris DJ, Sarode N, Stewart FJ. 2015. Standard filtration practices may significantly distort planktonic microbial diversity estimates. Front Microbiol vol. 6 - DOI:10.3389/fmicb.2015.00547
Contacts
originatorGeorgia Institute of Technology
metadata author
Georgia Institute of Technology
administrative point of contact
Georgia Institute of Technology