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Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing

BACKGROUND: Similar to natural rivers, manmade inlets connect inland runoff to the ocean. Port Everglades Inlet (PEI) is a busy cargo and cruise ship port in South Florida, which can act as a source of pollution to surrounding beaches and offshore coral reefs. Understanding the composition and fluct...

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Autores principales: O’Connell, Lauren, Gao, Song, McCorquodale, Donald, Fleisher, Jay, Lopez, Jose V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947159/
https://www.ncbi.nlm.nih.gov/pubmed/29761039
http://dx.doi.org/10.7717/peerj.4671
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author O’Connell, Lauren
Gao, Song
McCorquodale, Donald
Fleisher, Jay
Lopez, Jose V.
author_facet O’Connell, Lauren
Gao, Song
McCorquodale, Donald
Fleisher, Jay
Lopez, Jose V.
author_sort O’Connell, Lauren
collection PubMed
description BACKGROUND: Similar to natural rivers, manmade inlets connect inland runoff to the ocean. Port Everglades Inlet (PEI) is a busy cargo and cruise ship port in South Florida, which can act as a source of pollution to surrounding beaches and offshore coral reefs. Understanding the composition and fluctuations of bacterioplankton communities (“microbiomes”) in major port inlets is important due to potential impacts on surrounding environments. We hypothesize seasonal microbial fluctuations, which were profiled by high throughput 16S rRNA amplicon sequencing and analysis. METHODS & RESULTS: Surface water samples were collected every week for one year. A total of four samples per month, two from each sampling location, were used for statistical analysis creating a high sampling frequency and finer sampling scale than previous inlet microbiome studies. We observed significant differences in community alpha diversity between months and seasons. Analysis of composition of microbiomes (ANCOM) tests were run in QIIME 2 at genus level taxonomic classification to determine which genera were differentially abundant between seasons and months. Beta diversity results yielded significant differences in PEI community composition in regard to month, season, water temperature, and salinity. Analysis of potentially pathogenic genera showed presence of Staphylococcus and Streptococcus. However, statistical analysis indicated that these organisms were not present in significantly high abundances throughout the year or between seasons. DISCUSSION: Significant differences in alpha diversity were observed when comparing microbial communities with respect to time. This observation stems from the high community evenness and low community richness in August. This indicates that only a few organisms dominated the community during this month. August had lower than average rainfall levels for a wet season, which may have contributed to less runoff, and fewer bacterial groups introduced into the port surface waters. Bacterioplankton beta diversity differed significantly by month, season, water temperature, and salinity. The 2013–2014 dry season (October–April), was warmer and wetter than historical averages. This may have driven significant differences in beta diversity. Increased nitrogen and phosphorous concentrations were observed in these dry season months, possibly creating favorable bacterial growth conditions. Potentially pathogenic genera were present in the PEI. However their relatively low, non-significant abundance levels highlight their relatively low risk for public health concerns. This study represents the first to sample a large port at this sampling scale and sequencing depth. These data can help establish the inlet microbial community baseline and supplement the vital monitoring of local marine and recreational environments, all the more poignant in context of local reef disease outbreaks and worldwide coral reef collapse in wake of a harsh 2014–16 El Niño event.
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spelling pubmed-59471592018-05-14 Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing O’Connell, Lauren Gao, Song McCorquodale, Donald Fleisher, Jay Lopez, Jose V. PeerJ Environmental Sciences BACKGROUND: Similar to natural rivers, manmade inlets connect inland runoff to the ocean. Port Everglades Inlet (PEI) is a busy cargo and cruise ship port in South Florida, which can act as a source of pollution to surrounding beaches and offshore coral reefs. Understanding the composition and fluctuations of bacterioplankton communities (“microbiomes”) in major port inlets is important due to potential impacts on surrounding environments. We hypothesize seasonal microbial fluctuations, which were profiled by high throughput 16S rRNA amplicon sequencing and analysis. METHODS & RESULTS: Surface water samples were collected every week for one year. A total of four samples per month, two from each sampling location, were used for statistical analysis creating a high sampling frequency and finer sampling scale than previous inlet microbiome studies. We observed significant differences in community alpha diversity between months and seasons. Analysis of composition of microbiomes (ANCOM) tests were run in QIIME 2 at genus level taxonomic classification to determine which genera were differentially abundant between seasons and months. Beta diversity results yielded significant differences in PEI community composition in regard to month, season, water temperature, and salinity. Analysis of potentially pathogenic genera showed presence of Staphylococcus and Streptococcus. However, statistical analysis indicated that these organisms were not present in significantly high abundances throughout the year or between seasons. DISCUSSION: Significant differences in alpha diversity were observed when comparing microbial communities with respect to time. This observation stems from the high community evenness and low community richness in August. This indicates that only a few organisms dominated the community during this month. August had lower than average rainfall levels for a wet season, which may have contributed to less runoff, and fewer bacterial groups introduced into the port surface waters. Bacterioplankton beta diversity differed significantly by month, season, water temperature, and salinity. The 2013–2014 dry season (October–April), was warmer and wetter than historical averages. This may have driven significant differences in beta diversity. Increased nitrogen and phosphorous concentrations were observed in these dry season months, possibly creating favorable bacterial growth conditions. Potentially pathogenic genera were present in the PEI. However their relatively low, non-significant abundance levels highlight their relatively low risk for public health concerns. This study represents the first to sample a large port at this sampling scale and sequencing depth. These data can help establish the inlet microbial community baseline and supplement the vital monitoring of local marine and recreational environments, all the more poignant in context of local reef disease outbreaks and worldwide coral reef collapse in wake of a harsh 2014–16 El Niño event. PeerJ Inc. 2018-05-08 /pmc/articles/PMC5947159/ /pubmed/29761039 http://dx.doi.org/10.7717/peerj.4671 Text en ©2018 O’Connell et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Environmental Sciences
O’Connell, Lauren
Gao, Song
McCorquodale, Donald
Fleisher, Jay
Lopez, Jose V.
Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing
title Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing
title_full Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing
title_fullStr Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing
title_full_unstemmed Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing
title_short Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing
title_sort fine grained compositional analysis of port everglades inlet microbiome using high throughput dna sequencing
topic Environmental Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947159/
https://www.ncbi.nlm.nih.gov/pubmed/29761039
http://dx.doi.org/10.7717/peerj.4671
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