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      16S rRNA gene amplicon-based metagenomic analysis of bacterial communities in the rhizospheres of selected mangrove species from Mida Creek and Gazi Bay, Kenya

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          Abstract

          Prokaryotic communities play key roles in biogeochemical transformation and cycling of nutrients in the productive mangrove ecosystem. In this study, the vertical distribution of rhizosphere bacteria was evaluated by profiling the bacterial diversity and community structure in the rhizospheres of four mangrove species ( Sonneratia alba, Rhizophora mucronata, Ceriops tagal and Avicennia marina) from Mida Creek and Gazi Bay, Kenya, using DNA-metabarcoding. Alpha diversity was not significantly different between sites, but, significantly higher in the rhizospheres of S. alba and R. mucronata in Gazi Bay than in Mida Creek. Chemical parameters of the mangrove sediments significantly correlated inversely with alpha diversity metrics. The bacterial community structure was significantly differentiated by geographical location, mangrove species and sampling depth, however, differences in mangrove species and sediment chemical parameters explained more the variation in bacterial community structure. Proteobacteria (mainly Deltaproteobacteria and Gammaproteobacteria) was the dominant phylum while the families Desulfobacteraceae, Pirellulaceae and Syntrophobacteraceae were dominant in both study sites and across all mangrove species. Constrained redundancy analysis indicated that calcium, potassium, magnesium, electrical conductivity, pH, nitrogen, sodium, carbon and salinity contributed significantly to the species–environment relationship. Predicted functional profiling using PICRUSt2 revealed that pathways for sulfur and carbon metabolism were significantly enriched in Gazi Bay than Mida Creek. Overall, the results indicate that bacterial community composition and their potential function are influenced by mangrove species and a fluctuating influx of nutrients in the mangrove ecosystems of Gazi Bay and Mida Creek.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 March 2021
                2021
                : 16
                : 3
                : e0248485
                Affiliations
                [1 ] Department of Biological Sciences, Pwani University, Kilifi, Kenya
                [2 ] Centre for Forest Research and Institute for Systems and Integrative Biology, Laval University, Québec, Canada
                [3 ] Africa Centre of Excellence in Oilfield Chemicals Research, University of Port Harcourt, Choba, Nigeria
                [4 ] Department of Pure & Applied Sciences, Technical University of Mombasa, Mombasa, Kenya
                [5 ] National Museums of Kenya, Nairobi, Kenya
                KAUST University, SAUDI ARABIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2404-3764
                https://orcid.org/0000-0002-1381-0948
                Article
                PONE-D-20-21986
                10.1371/journal.pone.0248485
                7987175
                33755699
                08ef38cb-23ef-493f-8a6c-af032a47cd6e
                © 2021 Muwawa et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 July 2020
                : 28 February 2021
                Page count
                Figures: 5, Tables: 3, Pages: 22
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100004413, International Foundation for Science;
                Award ID: IFS Grant A/5719-1
                Award Recipient :
                Funded by: Queen Elizabeth II Jubilee Scholarship
                Award Recipient :
                Funded by: NSERC discovery grant
                Award Recipient :
                This research was funded by the Queen Elizabeth II Jubilee Scholarship to EMM and NSERC discovery grant to DPK and the International Foundation for Science (Ref No.: IFS Grant A/5719-1) to HMM. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Ecology and Environmental Sciences
                Aquatic Environments
                Marine Environments
                Coasts
                Mangrove Swamps
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Marine Environments
                Coasts
                Mangrove Swamps
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Rhizosphere
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Rhizosphere
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant-Environment Interactions
                Rhizosphere
                Biology and Life Sciences
                Organisms
                Bacteria
                Earth Sciences
                Geology
                Petrology
                Sediment
                Earth Sciences
                Geology
                Sedimentary Geology
                Sediment
                Physical Sciences
                Chemistry
                Chemical Elements
                Sulfur
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Nitrogen Metabolism
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files. Sequences from this study have been deposited into the SRA under the BioProject ID PRJNA644929.

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                Uncategorized

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