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Investigating monsoon and post-monsoon variabilities of bacterioplankton communities in a mangrove ecosystem

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Abstract

In mangrove environments, bacterioplankton communities constitute an important component of aquatic biota and play a major role in ecosystem processes. Variability of bacterioplankton communities from Sundarbans mangrove, located in the Indian subcontinent in South Asia and sits on the apex of Bay of Bengal, was investigated over monsoon and post-monsoon seasons. The study was undertaken in two stations in Sundarbans using 16S rRNA clone library and Illumina MiSeq approaches with focus on the functionally important members that participate in coastal biogeochemical cycling. Out of 544 sequenced clones, Proteobacteria dominated the study area (373 sequences) with persistence of two major classes, namely, Gammaproteobacteria and Alphaproteobacteria across both monsoon and post-monsoon seasons in both stations. Several sequences belonging to Sphingomonadales, Chromatiales, Alteromonadales, Oceanospirillales, and Bacteroidetes were encountered that are known to play important roles in coastal carbon cycling. Some sequences showed identity with published uncultured Planctomycetes and Chloroflexi highlighting their role in nitrogen cycling. The detection of two novel clades highlighted the existence of indigenous group of bacterioplankton that may play important roles in this ecosystem. The eubacterial V3–V4 region from environmental DNA extracted from the above two stations, followed by sequencing in Illumina MiSeq system, was also targeted in the study. A congruency between the clone library and Illumina approaches was observed. Strong variability in bacterioplankton community structure was encountered at a seasonal scale in link with precipitation. Drastic increase in sediment associated bacteria such as members of Firmicutes and Desulfovibrio was found in monsoon hinting possible resuspension of sediment-dwelling bacteria into the overlying water column. Principal component analysis (PCA) revealed dissolved ammonium and dissolved nitrate to account for maximum variation observed in the bacterioplankton community structure. Overall, the study showed that a strong interplay exists between environmental parameters and observed variability in bacterioplankton communities as a result of precipitation which can ultimately influence processes and rates linked to coastal biogeochemical cycles.

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Abbreviations

16S rRNA:

16S ribosomal ribonucleic acid

SWT:

Surface water temperature

DO:

Dissolved oxygen

OTUs:

Operational taxonomic units

NJ:

Neighbor joining

PCA:

Principal component analysis

NGS:

Next-generation sequencing

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Acknowledgements

The authors thank the anonymous reviewers for their helpful suggestions.

Funding

Anwesha Ghosh is the recipient of IISER Kolkata Integrated Ph.D. Fellowship. This work is partly supported by grants from IISER Kolkata as well as from WWF-India awarded to Punyasloke Bhadury.

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Authors and Affiliations

Authors

Contributions

P.B. designed the experiments. A.G. performed the experiments and analyzed the datasets. Both the authors wrote the manuscript.

Corresponding author

Correspondence to Punyasloke Bhadury.

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Conflict of interest

The authors declare that they have no competing interests.

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Responsible editor: Robert Duran

Electronic supplementary material

Fig. S1

(a)-(j): Neighbour Joining (NJ) tree showing the phylogenetic position of the generated clones along with reference sequences taken from GenBank/DDBJ/EMBL databases. The NJ tree shows 544 clones representing Stn1 and Stn3. Number of identical clones have been shown in brackets. Methanobrevibacter smittii ATCC 35061 (NR044786) has been used as outgroup. Kimura-2-parameter with Gamma distribution was set as parameter for the NJ tree. Clone libraries representing a particular month from both stations have been given a specific colour for visualization purposes. (JPEG 268 kb)

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Fig. S2

Rarefaction curve of combined 16S rRNA sequences for Stn1 and Stn3 during monsoon, post-monsoon and all seasons combined (JPEG 5 kb)

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Fig. S3

Non-metric multidimensional scaling (nMDS) plot using Bray-Curtis distance for the bacterioplankton communities observed in each station and each month. (PNG 38 kb)

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Rarefaction curves (at family level) show the sampling effort for Stn1_July_Il and Stn3_July_Il Illumina datasets (JPEG 3 kb)

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Ghosh, A., Bhadury, P. Investigating monsoon and post-monsoon variabilities of bacterioplankton communities in a mangrove ecosystem. Environ Sci Pollut Res 25, 5722–5739 (2018). https://doi.org/10.1007/s11356-017-0852-y

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  • DOI: https://doi.org/10.1007/s11356-017-0852-y

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