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Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory
Fungi are ubiquitous and often abundant components of virtually all ecosystems on Earth, serving a diversity of functions. While there is clear evidence that fungal-mediated processes can influence environmental conditions, and in turn select for specific fungi, it is less clear how fungi respond to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926071/ https://www.ncbi.nlm.nih.gov/pubmed/31801876 http://dx.doi.org/10.1073/pnas.1907414116 |
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author | Tipton, Laura Zahn, Geoffrey Datlof, Erin Kivlin, Stephanie N. Sheridan, Patrick Amend, Anthony S. Hynson, Nicole A. |
author_facet | Tipton, Laura Zahn, Geoffrey Datlof, Erin Kivlin, Stephanie N. Sheridan, Patrick Amend, Anthony S. Hynson, Nicole A. |
author_sort | Tipton, Laura |
collection | PubMed |
description | Fungi are ubiquitous and often abundant components of virtually all ecosystems on Earth, serving a diversity of functions. While there is clear evidence that fungal-mediated processes can influence environmental conditions, and in turn select for specific fungi, it is less clear how fungi respond to environmental fluxes over relatively long time frames. Here we set out to examine changes in airborne fungi collected over the course of 13 y, which is the longest sampling time to date. Air filter samples were collected from the Mauna Loa Observatory (MLO) on Hawaii Island, and analyzed using Illumina amplicon sequencing. As a study site, MLO is unique because of its geographic isolation and high elevation, making it an ideal place to capture global trends in climate and aerobiota. We found that the fungal aerobiota sampled at MLO had high species turnover, but compositional similarity did not decrease as a function of time between samples. We attribute these patterns to neutral processes such as idiosyncratic dispersal timing and trajectories. Furthermore, the composition of fungi at any given point was not significantly influenced by any local or global environmental variables we examined. This, and our additional finding of a core set of persistent fungi during our entire sampling period, indicates some degree of stability among fungi in the face of natural environmental fluctuations and human-associated global change. We conclude that the movement of fungi through the atmosphere is a relatively stochastic process. |
format | Online Article Text |
id | pubmed-6926071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-69260712019-12-23 Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory Tipton, Laura Zahn, Geoffrey Datlof, Erin Kivlin, Stephanie N. Sheridan, Patrick Amend, Anthony S. Hynson, Nicole A. Proc Natl Acad Sci U S A Biological Sciences Fungi are ubiquitous and often abundant components of virtually all ecosystems on Earth, serving a diversity of functions. While there is clear evidence that fungal-mediated processes can influence environmental conditions, and in turn select for specific fungi, it is less clear how fungi respond to environmental fluxes over relatively long time frames. Here we set out to examine changes in airborne fungi collected over the course of 13 y, which is the longest sampling time to date. Air filter samples were collected from the Mauna Loa Observatory (MLO) on Hawaii Island, and analyzed using Illumina amplicon sequencing. As a study site, MLO is unique because of its geographic isolation and high elevation, making it an ideal place to capture global trends in climate and aerobiota. We found that the fungal aerobiota sampled at MLO had high species turnover, but compositional similarity did not decrease as a function of time between samples. We attribute these patterns to neutral processes such as idiosyncratic dispersal timing and trajectories. Furthermore, the composition of fungi at any given point was not significantly influenced by any local or global environmental variables we examined. This, and our additional finding of a core set of persistent fungi during our entire sampling period, indicates some degree of stability among fungi in the face of natural environmental fluctuations and human-associated global change. We conclude that the movement of fungi through the atmosphere is a relatively stochastic process. National Academy of Sciences 2019-12-17 2019-12-04 /pmc/articles/PMC6926071/ /pubmed/31801876 http://dx.doi.org/10.1073/pnas.1907414116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Tipton, Laura Zahn, Geoffrey Datlof, Erin Kivlin, Stephanie N. Sheridan, Patrick Amend, Anthony S. Hynson, Nicole A. Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory |
title | Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory |
title_full | Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory |
title_fullStr | Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory |
title_full_unstemmed | Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory |
title_short | Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory |
title_sort | fungal aerobiota are not affected by time nor environment over a 13-y time series at the mauna loa observatory |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926071/ https://www.ncbi.nlm.nih.gov/pubmed/31801876 http://dx.doi.org/10.1073/pnas.1907414116 |
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