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Standard filtration practices may significantly distort planktonic microbial diversity estimates

Fractionation of biomass by filtration is a standard method for sampling planktonic microbes. It is unclear how the taxonomic composition of filtered biomass changes depending on sample volume. Using seawater from a marine oxygen minimum zone, we quantified the 16S rRNA gene composition of biomass o...

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Autores principales: Padilla, Cory C., Ganesh, Sangita, Gantt, Shelby, Huhman, Alex, Parris, Darren J., Sarode, Neha, Stewart, Frank J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451414/
https://www.ncbi.nlm.nih.gov/pubmed/26082766
http://dx.doi.org/10.3389/fmicb.2015.00547
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author Padilla, Cory C.
Ganesh, Sangita
Gantt, Shelby
Huhman, Alex
Parris, Darren J.
Sarode, Neha
Stewart, Frank J.
author_facet Padilla, Cory C.
Ganesh, Sangita
Gantt, Shelby
Huhman, Alex
Parris, Darren J.
Sarode, Neha
Stewart, Frank J.
author_sort Padilla, Cory C.
collection PubMed
description Fractionation of biomass by filtration is a standard method for sampling planktonic microbes. It is unclear how the taxonomic composition of filtered biomass changes depending on sample volume. Using seawater from a marine oxygen minimum zone, we quantified the 16S rRNA gene composition of biomass on a prefilter (1.6 μm pore-size) and a downstream 0.2 μm filter over sample volumes from 0.05 to 5 L. Significant community shifts occurred in both filter fractions, and were most dramatic in the prefilter community. Sequences matching Vibrionales decreased from ~40 to 60% of prefilter datasets at low volumes (0.05–0.5 L) 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. Groups often associated with marine particles, including members of the Deltaproteobacteria, Planctomycetes, and Bacteroidetes, were among those showing the greatest increase with volume (4 to 27-fold). Taxon richness (97% similarity clusters) also varied significantly with volume, and in opposing directions depending on filter fraction, highlighting potential biases in community complexity estimates. These data raise concerns for studies using filter fractionation for quantitative comparisons of aquatic microbial diversity, for example between free-living and particle-associated communities.
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spelling pubmed-44514142015-06-16 Standard filtration practices may significantly distort planktonic microbial diversity estimates Padilla, Cory C. Ganesh, Sangita Gantt, Shelby Huhman, Alex Parris, Darren J. Sarode, Neha Stewart, Frank J. Front Microbiol Microbiology Fractionation of biomass by filtration is a standard method for sampling planktonic microbes. It is unclear how the taxonomic composition of filtered biomass changes depending on sample volume. Using seawater from a marine oxygen minimum zone, we quantified the 16S rRNA gene composition of biomass on a prefilter (1.6 μm pore-size) and a downstream 0.2 μm filter over sample volumes from 0.05 to 5 L. Significant community shifts occurred in both filter fractions, and were most dramatic in the prefilter community. Sequences matching Vibrionales decreased from ~40 to 60% of prefilter datasets at low volumes (0.05–0.5 L) 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. Groups often associated with marine particles, including members of the Deltaproteobacteria, Planctomycetes, and Bacteroidetes, were among those showing the greatest increase with volume (4 to 27-fold). Taxon richness (97% similarity clusters) also varied significantly with volume, and in opposing directions depending on filter fraction, highlighting potential biases in community complexity estimates. These data raise concerns for studies using filter fractionation for quantitative comparisons of aquatic microbial diversity, for example between free-living and particle-associated communities. Frontiers Media S.A. 2015-06-02 /pmc/articles/PMC4451414/ /pubmed/26082766 http://dx.doi.org/10.3389/fmicb.2015.00547 Text en Copyright © 2015 Padilla, Ganesh, Gantt, Huhman, Parris, Sarode and Stewart. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Padilla, Cory C.
Ganesh, Sangita
Gantt, Shelby
Huhman, Alex
Parris, Darren J.
Sarode, Neha
Stewart, Frank J.
Standard filtration practices may significantly distort planktonic microbial diversity estimates
title Standard filtration practices may significantly distort planktonic microbial diversity estimates
title_full Standard filtration practices may significantly distort planktonic microbial diversity estimates
title_fullStr Standard filtration practices may significantly distort planktonic microbial diversity estimates
title_full_unstemmed Standard filtration practices may significantly distort planktonic microbial diversity estimates
title_short Standard filtration practices may significantly distort planktonic microbial diversity estimates
title_sort standard filtration practices may significantly distort planktonic microbial diversity estimates
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451414/
https://www.ncbi.nlm.nih.gov/pubmed/26082766
http://dx.doi.org/10.3389/fmicb.2015.00547
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