Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782374131850805248 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4451414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT padillacoryc standardfiltrationpracticesmaysignificantlydistortplanktonicmicrobialdiversityestimates AT ganeshsangita standardfiltrationpracticesmaysignificantlydistortplanktonicmicrobialdiversityestimates AT ganttshelby standardfiltrationpracticesmaysignificantlydistortplanktonicmicrobialdiversityestimates AT huhmanalex standardfiltrationpracticesmaysignificantlydistortplanktonicmicrobialdiversityestimates AT parrisdarrenj standardfiltrationpracticesmaysignificantlydistortplanktonicmicrobialdiversityestimates AT sarodeneha standardfiltrationpracticesmaysignificantlydistortplanktonicmicrobialdiversityestimates AT stewartfrankj standardfiltrationpracticesmaysignificantlydistortplanktonicmicrobialdiversityestimates |