High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters

Autotrophic and heterotrophic bacterioplankton are essential to the biogeochemistry of tropical ecosystems. However, the processes that govern their dynamics are not well known. We provide here a high-frequency assessment of bacterial community dynamics and concurrent environmental factors in Red Se...

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Main Authors: Mohd Ikram Ansari, Maria LI. Calleja, Luis Silva, Miguel Viegas, David Kamanda Ngugi, Tamara Megan Huete-Stauffer, Xosé Anxelu G. Morán
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.780530/full
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author Mohd Ikram Ansari
Mohd Ikram Ansari
Maria LI. Calleja
Maria LI. Calleja
Luis Silva
Miguel Viegas
David Kamanda Ngugi
David Kamanda Ngugi
Tamara Megan Huete-Stauffer
Xosé Anxelu G. Morán
Xosé Anxelu G. Morán
author_facet Mohd Ikram Ansari
Mohd Ikram Ansari
Maria LI. Calleja
Maria LI. Calleja
Luis Silva
Miguel Viegas
David Kamanda Ngugi
David Kamanda Ngugi
Tamara Megan Huete-Stauffer
Xosé Anxelu G. Morán
Xosé Anxelu G. Morán
author_sort Mohd Ikram Ansari
collection DOAJ
description Autotrophic and heterotrophic bacterioplankton are essential to the biogeochemistry of tropical ecosystems. However, the processes that govern their dynamics are not well known. We provide here a high-frequency assessment of bacterial community dynamics and concurrent environmental factors in Red Sea coastal waters. Weekly sampling of surface samples during a full annual cycle at an enclosed station revealed high variability in ecological conditions, which reflected in changes of major bacterioplankton communities. Temperature varied between 23 and 34°C during the sampling period. Autotrophic (Synechococcus, 1.7–16.2 × 104 cells mL−1) and heterotrophic bacteria (1.6–4.3 × 105 cells mL−1) showed two maxima in abundance in spring and summer, while minima were found in winter and autumn. Heterotrophic cells with high nucleic acid content (HNA) peaked in July, but their contribution to the total cell counts (35–60%) did not show a clear seasonal pattern. Actively respiring cells (CTC+) contributed between 4 and 51% of the total number of heterotrophic bacteria, while live cells (with intact membrane) consistently accounted for over 90%. Sequenced 16S rRNA amplicons revealed a predominance of Proteobacteria in summer and autumn (>40%) and a smaller contribution in winter (21–24%), with members of the Alphaproteobacteria class dominating throughout the year. The contribution of the Flavobacteriaceae family was highest in winter (21%), while the Rhodobacteraceae contribution was lowest (6%). Temperature, chlorophyll-a, and dissolved organic carbon concentration were the environmental variables with the greatest effects on bacterial abundance and diversity patterns.
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spelling doaj.art-233317fb9b8b404c86a349e85133e6012022-12-22T02:41:12ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-03-011310.3389/fmicb.2022.780530780530High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal WatersMohd Ikram Ansari0Mohd Ikram Ansari1Maria LI. Calleja2Maria LI. Calleja3Luis Silva4Miguel Viegas5David Kamanda Ngugi6David Kamanda Ngugi7Tamara Megan Huete-Stauffer8Xosé Anxelu G. Morán9Xosé Anxelu G. Morán10Division of Biological and Environmental Sciences and Engineering (BESE), Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaDepartment of Biosciences, Integral University, Lucknow, IndiaDivision of Biological and Environmental Sciences and Engineering (BESE), Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaDepartment of Climate Geochemistry, Max Planck Institute for Chemistry (MPIC), Mainz, GermanyDivision of Biological and Environmental Sciences and Engineering (BESE), Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaDivision of Biological and Environmental Sciences and Engineering (BESE), Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaDivision of Biological and Environmental Sciences and Engineering (BESE), Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaDepartment of Microorganisms, Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, GermanyDivision of Biological and Environmental Sciences and Engineering (BESE), Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaDivision of Biological and Environmental Sciences and Engineering (BESE), Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaCentro Oceanográfico de Gijón/Xixón (IEO, CSIC), Gijón/Xixón, SpainAutotrophic and heterotrophic bacterioplankton are essential to the biogeochemistry of tropical ecosystems. However, the processes that govern their dynamics are not well known. We provide here a high-frequency assessment of bacterial community dynamics and concurrent environmental factors in Red Sea coastal waters. Weekly sampling of surface samples during a full annual cycle at an enclosed station revealed high variability in ecological conditions, which reflected in changes of major bacterioplankton communities. Temperature varied between 23 and 34°C during the sampling period. Autotrophic (Synechococcus, 1.7–16.2 × 104 cells mL−1) and heterotrophic bacteria (1.6–4.3 × 105 cells mL−1) showed two maxima in abundance in spring and summer, while minima were found in winter and autumn. Heterotrophic cells with high nucleic acid content (HNA) peaked in July, but their contribution to the total cell counts (35–60%) did not show a clear seasonal pattern. Actively respiring cells (CTC+) contributed between 4 and 51% of the total number of heterotrophic bacteria, while live cells (with intact membrane) consistently accounted for over 90%. Sequenced 16S rRNA amplicons revealed a predominance of Proteobacteria in summer and autumn (>40%) and a smaller contribution in winter (21–24%), with members of the Alphaproteobacteria class dominating throughout the year. The contribution of the Flavobacteriaceae family was highest in winter (21%), while the Rhodobacteraceae contribution was lowest (6%). Temperature, chlorophyll-a, and dissolved organic carbon concentration were the environmental variables with the greatest effects on bacterial abundance and diversity patterns.https://www.frontiersin.org/articles/10.3389/fmicb.2022.780530/fullbacterioplanktonseasonalityflow cytometry16S rDNAnext-generation sequencingsingle-cell analysis
spellingShingle Mohd Ikram Ansari
Mohd Ikram Ansari
Maria LI. Calleja
Maria LI. Calleja
Luis Silva
Miguel Viegas
David Kamanda Ngugi
David Kamanda Ngugi
Tamara Megan Huete-Stauffer
Xosé Anxelu G. Morán
Xosé Anxelu G. Morán
High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters
Frontiers in Microbiology
bacterioplankton
seasonality
flow cytometry
16S rDNA
next-generation sequencing
single-cell analysis
title High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters
title_full High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters
title_fullStr High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters
title_full_unstemmed High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters
title_short High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters
title_sort high frequency variability of bacterioplankton in response to environmental drivers in red sea coastal waters
topic bacterioplankton
seasonality
flow cytometry
16S rDNA
next-generation sequencing
single-cell analysis
url https://www.frontiersin.org/articles/10.3389/fmicb.2022.780530/full
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